The Engineered-Mind Podcast | Engineering, AI & Technology: Recent Episodes
Jousef Murad
In the Engineered-Mind podcast, Jousef Murad is talking to researchers, scientists and engineers and how their work is shaping the world around us. The podcast covers topics around engineering, artificial intelligence, technology and more to inspire and educate people all around the world.
Kanchan is an aerospace engineer by training. Early on, she became fascinated with computational fluid dynamics and decided to make her career in this field. Her last stint was in a CFD software development firm that catered to the helicopter industry. She spent some time in the US at Iowa State University. Mumbai after marriage, and presently, she lives in Singapore with her husband and her two lovely daughters (my opinion on their loveliness is liable to change depending on how the day progresses!). As a Product Manager, she is very much in touch with CFD and simulation, while also being involved in the business-facing aspects of technology.
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🌎 Simcenter Engineering: https://go.sw.siemens.com/QeBWrR7w🎬 Simcenter YouTube: https://www.youtube.com/c/SiemensSoft...
Hear Petr Kodl from Siemens talk about GPU-enabled acceleration of CFD simulation.Representation of the benefits of running Simcenter STAR-CCM+ on GPUs provides computational fluid dynamics (CFD) capabilities to go faster while modeling the complexity. One of the constant challenges for computational fluid dynamics (CFD) engineers is to have a good level of simulation throughput. CPUs, ARM, GPUs: In times of an increasingly heterogeneous hardware landscape, there are many choices, and simulation engineers need to identify the hardware that best fits their current needs.
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💻 Full tutorial: • Physics-Informed Neural Networks (PIN... Physics-Informed Neural Networks (PINNs) integrate known physical laws into neural network learning, particularly for solving differential equations. They embed these laws into the network's loss function, guiding the learning process beyond just data fitting. This integration helps the network predict solutions that are not only data-driven but also align with physical principles, making PINNs especially useful in fields like fluid dynamics and heat transfer. By blending data with established physics, PINNs offer more accurate and robust predictions, especially in data-scarce scenarios.
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Mike Grau is an engineer by heart, with a passion for challenges. He believes the future is in the convergence of design, simulation, and manufacturing through automation. And it is energizing for him to work with customers at Synera to inspire and demonstrate new workflows.In this podcast, we dive deep into the world of "The New Engineering: Transforming Workflows Using Low-Code"Each episode features insightful conversations with industry experts and thought leaders who share their expertise and experiences with Synera.
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As a renowned aerospace engineer and entrepreneur, Moritz specializes in model-based engineering and generative design. His journey began with obtaining a doctorate in product development processes, followed by invaluable experience as a senior consultant in generative design and additive manufacturing. This led him to establish Synera, a deep-tech startup dedicated to revolutionizing the engineering sector.Synera is the leading low-code platform for Connected Engineering, enabling full automation and algorithm-based process modeling. Synera integrates all data and expert knowledge into the development process, providing engineers with the technical capabilities that are usually only available to software developers. Based in Bremen, North Germany, Synera supports international firms across a wide range of industries, including the automotive, aerospace, and consumer good sectors.Would you like to find out more about Connected Engineering with Synera’s low-code platform?
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🌍 Ultraspeaking Class: https://ultraspeaking.com/fundamental...
Alienor Hunter went from struggling with social anxiety to becoming one of Ultraspeaking's top coaches . . . in only 11 months! This episode of the Ultraspeaking podcast reveals Alienor's remarkable story and highlights the steps she took to transform her confidence and communication skills.
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📕 Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning : https://geni.us/08JM🌍 Miguel's website: https://www.mendezma.com🌍 Machine Learning for Fluid Mechanics: Analysis, Modeling, Control and Closures: https://www.datadrivenfluidmechanics.comMiguel Alfonso Mendez is an Associate Professor at the von Karman Institute for Fluid Dynamics (VKI). Here, he teaches differential equations for fluid mechanics, signal processing, and experimental methods at the Research Master program (Master after Master) in fluid dynamics. His research interests include engineering modelling of fluid flows, experimental fluid mechanics, data-driven modal analysis, flow control, inverse problems, and machine learning.
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🌍 Dominique's website: https://www.fea-academy.com/🌍 Evotech CAE: https://evotechcae.com/💼 Dominique on LinkedIn: / dominique-madier 💼 Steffan on LinkedIn: / steffan-evans Dominique is a senior aerospace consultant with more than 20 years of experience and advanced expertise in Finite Element Analysis of static and dynamic problems for linear and nonlinear structural behaviors.He is the author of the FEA book "Practical Finite Element Analysis for Mechanical Engineers", a book about the best practical methods and guidelines for the development and validation of finite element models. It gives to structural engineers the keys to developing accurate and reliable finite element models.Steff Evans runs Evotech Computer-Aided Engineering, on a consultancy basis in the UK. He support companies large and small with product development through advanced FEA. This is often based on pure engineering consultancy, training, software resales, or a combination of all three.He is heavily focused on the technical deployment of a ground-breaking contemporary CAE platform, MSC Apex, throughout the simulation and CAE world. Through a combination of content distribution and online training, he brands himself ‘the Apex guy!’, posting interesting and varied articles to a global audience on best practice and workflow development to get the best efficiency from FEA workflows.
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🌍 LEAP71: https://leap71.com/🌍 PicoGK: https://leap71.com/picogk/
Josefine Lissner is an early pioneer in the field of Computational Engineering. Some of her work has been hailed as a historic milestone in physical designs and 3D-printing.Josefine uses computer code to build the world’s most astonishing and complex physical objects. She is the founder of LEAP 71, a company working on designing and producing the next generation of computer-generated machines.Before starting her current venture in 2023, she was the Strategic Engineering Lead at Hyperganic, helping push and build the company’s technology and credibility through a number of industry-first projects. She has a Masters Degree in Aerospace, Aeronautical and Astronautical/Space Engineering from the University of Stuttgart, Germany. During her studies, she built a record-breaking drone at Infineon and participated in an Astronaut Training at ESA.
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📚 Grokking Machine Learning by Luis: https://bit.ly/3TfQKtS🌍 Cohere LLM University: https://docs.cohere.com/docs/llmu
Dr. Luis Serrano’s interest in mathematics started in high school when he participated in mathematical olympiads, representing his native Colombia. Later, he completed a bachelor’s and master’s in mathematics at the University of Waterloo. He then earned a Ph.D. in mathematics (algebraic combinatorics) at the University of Michigan and a postdoctoral fellowship at the University of Quebec at Montreal. He became interested in other topics and decided to leave academia and switch to industry. After working at Google as a machine learning engineer in the YouTube video recommendations team, he decided to pursue his passion for teaching. He moved to Udacity as the head of artificial and data science content, where he taught several online courses in machine learning, deep learning, AI, and related topics. He then moved to Apple as a machine learning educator. Dr. Serrano loves learning new things and always found quantum physics and quantum computing fascinating. For this reason, he became a research scientist at Zapata computing, specializing in the intersections between machine learning and quantum computing, quantum neural networks, etc.He is the author of the book Grokking Machine Learning, in which he explains machine learning in a friendly approachable way, with stories and pictures instead of formulas. Dr. Serrano’s work in quantum artificial intelligence uses physics, linear algebra, probability theory, and combinatorics.
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🌍 Mike's Presentation: https://mikecroucher.github.io/reprod...
Mike Croucher is Customer Success Engineer at MathWorks where he works with researchers and educators on many different aspects of research computing.His interests center around research software engineering, high performance and cloud computing and various aspects of machine learning, mathematics and science and he have over 20 years of experience in the field.
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🌍 Get Jeremy's Book on LinkedIn: https://geni.us/wFxcppz
Jeremy Schifeling has devoted his career to helping others succeed in theirs. From teaching kindergarten in Brooklyn to recruiting top students at Teach For America to leading education marketing at LinkedIn, he’s touched the lives of millions of people at every stage of their journeys. Along the way, he’s published the best-selling LinkedIn book on Amazon, served as a career coach for military veterans and MBA students at the University of Michigan, and produced the most-viewed video in LinkedIn’s history. He currently leads consumer marketing at Khan Academy and shares his thoughts on Break into Tech, a site for anyone who wants to launch a tech career: www.breakinto.tech
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🌍 Get Thomas Book Here: https://geni.us/jOIOf
Thomas Anderson is a Swedish entrepreneur, change manager, inspirational speaker, and life coach. He helps people and companies in their transformation journeys. He has extensive experience from global companies as a project manager, change manager, and management consultant. He has always been close to the change process as his main work has been managing digital transformation, being the bridge between IT and the business, which affects people in many ways. Global projects have taken him to the United States, China, and many of the European countries. He has an MSc in Industrial Engineering and Management from Linköping University, Sweden, and has studied at the School of Business at Queen’s University, Canada, and in Barcelona, Spain. In 2015 he was successful in his career and lived with his family in a nice house—he had all that you “ought to” have. But there was something missing in life, he was trapped in an emotional prison of self-doubt, stress, anxiety, and feelings of worthlessness. He didn’t know how to be there for himself, and he was on the brink of burnout. That was a starting point and over three years he completely turned his life around, a journey which he now shares in his book, The Vulnerable Man (released in Sweden in 2019 and internationally in 2021).
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🌍 Official ISimQ Website: https://www.isimq.com/
ISimQ stands for “Innovative Simulations with Quality”. It was founded in May 2016 by Paul Galpin, Thorsten Hansen and Georg Scheuerer.Georg Scheuerer founded Advanced Scientific Computing in Germany which is the predecessor of ANSYS Germany, and has successfully grown this company over a period of 25 years. Georg’s academic background is turbulence, heat transfer and multiphase flow. Georg also brings experience and expertise in project, account and team management.
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🌎 EikoSim: https://eikosim.com/en/eikosim-home-e...Florent Mathieu founded digital imaging software company EikoSim four years ago as a result of research work at the University of Paris-Saclay’s LMT laboratory.The startup’s main product EikoTwin is image-processing software that enables information to be more accurately transfered between test and design engineers by creating a digital twin that connects directly with simulation pre/post processing tools.According to Mathieu, EikoTwin closely integrates physically testing into the digital design chain, improving simulation quality, reducing development time and costs and preventing the need for additional testing. It offers engineers better and faster validation and a way of improving their modelling.In four years the company has grown to employ 14 engineers and scientists, already works with companies such as Ariane Group, Safran and Airbus and is looking to expand internationally.
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As a renowned aerospace engineer and entrepreneur, Moritz specializes in model-based engineering and generative design. His journey began with obtaining a doctorate in product development processes, followed by invaluable experience as a senior consultant in generative design and additive manufacturing. This led him to establish Synera, a deep-tech startup dedicated to revolutionizing the engineering sector.Synera is the leading low-code platform for Connected Engineering, enabling full automation and algorithm-based process modeling. Synera integrates all data and expert knowledge into the development process, providing engineers with the technical capabilities that are usually only available to software developers. Based in Bremen, North Germany, Synera supports international firms across a wide range of industries, including the automotive, aerospace, and consumer good sectors.Would you like to find out more about Connected Engineering with Synera’s low-code platform?
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🌍 ParaView and VTK add GPU-accelerated ray tracing with NVIDIA RTX: https://www.kitware.com/paraview-and-...
🌍 F3D: https://github.com/f3d-app/f3d
Mathieu Westphal is a ParaView Expert Engineer at Kitware Europe.As part of the Scientific Visualization team, he leads many software developpements projects in the ParaView ecosystem. He is part of the core development team of VTK and ParaView and is very much involved with the open source community around it.Mathieu has developed many important features in ParaView and VTK, such as the Lagrangian Particle Tracker, Selection Linking, Colormap editor features, Explicit Structured Grid, VTT data format, SSH native support, Python Editor and much more.Mathieu has been leading efforts to integrate ParaView in many client applications, as well as delivering very high quality ParaView related courses, blog articles, webinars anddocumentation. He is also one of the lead developer of the F3D open source project.
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🌍 More about Quanscient: https://quanscient.com/
CEO & Co-Founder of Quanscient: a company developing a simulations-as-a-service platform for simulations utilizing cloud & quantum computing. Juha has over 16 years of experience in the SW industry. He has worked as a developer, in international sales, agile methodologies, leadership roles, and as a management consultant. Most recently, Juha spent 12 years at Vincit, one of Finland’s leading SW consulting companies helping them grow from 20 people to over 650 people and being in a key position in their expansion to the USA. During his time there he helped Vincit’s clients develop their SaaS SW from a technical perspective to the business side of things. Juha has also recruited over 100 developers. At Quanscient, Juha’s role is to focus on business development and vision.
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🌍 Pipeline Design & Engineering: https://teampipeline.us/
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With 15+ years of professional experience and degrees in mechanical engineering (B.S.) and biomedical engineering (M.S.), Aaron has been involved in developing a wide range of hard goods products from simple consumer products such as iPhone cases to complex automated machinery for the medical device industry. With well over 10,000 hours experience running CAD (SoildWorks) early in his career, his mechanical aptitude allowed him to progress to being a top performer at the companies for which he worked. He has contributed not only as a senior design engineer but as a multi-disciplinary ninja producing photorealistic renderings for marketing, machining his own prototypes (mill and lathe work), developing and executing test protocols, and building complex assemblies.
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🌍 Official Navasto Website: https://www.navasto.de/
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Navasto has experience gained through many years of work in the industry and research landscape, in particular in the automobile and aerospace sectors. This enables them to provide you with innovative and highly professional digital solutions which are tailored to the needs and requirements of your AI-accelerated product, process, or method development.
They have been a partner for digital development processes for many years. Their multidisciplinary team of engineers, software developers, physicists and HPC experts develops innovative workflows, methods and software products around simulation processes that enable their customers to develop digital products faster and better.
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🌍 Free StartProto Trial: https://bit.ly/3WIdIcN
Tim Felbinger is the founder and CEO of StartProto, a cloud software company that provides innovative solutions to small to mid-sized manufacturers.
StartProto seamlessly connects the shop floor, data, and management on one cloud platform, making it easier for manufacturers to manage their operations and scale their businesses.
After graduation from Georgia Tech, Tim immediately put his education to work by starting StartProto. With a degree in Electrical Engineering, Tim's passion for technology and commitment to delivering high-quality solutions has helped StartProto to grow rapidly and make a significant impact in the manufacturing industry.
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Lutz Böhm graduated in the field ‘‘Process and Energy Engineering’’ at Technische Universität Berlin in 2009 and, afterwards, started working at the Chair of Chemical and Process Engineering. In 2015, he successfully defended his PhD thesis‘‘Comparison of single bubble and bubble swarm behavior in narrow gaps inside flat sheet membrane modules’’. Since then, he works as a postdoctoral fellow in the field of ‘‘Transport phenomena in reactive Newtonian and non-Newtonian multiphase systems
🌍 https://www.tu.berlin/en/verfahrenstechnik/about-us/employees/working-group-leaders/lutz-boehm 🌍 https://twitter.com/DrLutzBoehm
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👉 Milovan's CFD Course: https://imp.i384100.net/Qyj5Do👉 Get Milovan's book here: https://geni.us/PMyUb2💌 My weekly science newsletter - https://jousef.substack.com/Milovan Perić studied mechanical engineering in Sarajevo and obtained PhD degree at Imperial College in London in 1985 for his work on flow computation in complex ducts using body-fitted non-orthogonal grids. He moved then to the University of Erlangen in Germany, where he continued research in computational methods for fluid flow, working on extensions to moving grids, multigrid-methods and parallel computing. He spent one year (1992) as a visiting scholar at Stanford University, working with late professor Joel H. Ferziger, with whom he published a book on computational methods for fluid dynamics (4th English and 2nd German edition with a new co-author, professor Robert L. Street from Stanford University). In 1993, he became professor of fluid dynamics at the former Institute of Shipbuilding in Hamburg (later merged into TU Hamburg), where he expanded his research activities to free-surface flows, fluid-structure interaction, cavitation and simulation of turbulence. In 1997, he founded with co-workers a private company which developed and marketed a state-of-the-art CFD-code “Comet”, which had many features dedicated to naval hydrodynamics. The company and the code were sold to CD-adapco in 2002 and professor Perić with most of his team left university to work on further software development. At CD-adapco professor Perić held positions of the director of software development, director of technology and lastly vice president of technology. In 2014, he started an independent consulting business but continued to work mostly for CD-adapco and, after it was taken over by Siemens in 2016, for the new owner. In 2016 he was elected member of the Faculty of Engineering at the University of Duisburg-Essen (without employment), teaching applied CFD and supporting professor Bettar el Moctar at the Institute of Ship Technology, Ocean Engineering and Transport Systems. He has published as author or co-author over 200 papers and several chapters in edited books.
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As a pioneer of in silico medicine, Simq drives the adoption of innovative and new technologies and provide development and consulting services to medical device manufacturers.Simq provides deeper insights and more information for the development of innovative medical devices, diagnostics and therapies based on their unique technology.Simq is a certified simulation service provider and software manufacturer in the field of medicine and medical technology and is one of the pioneers of in silico medicine.
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Pete Warden was the technical lead of the TensorFlow Micro team at Google, and was previously founder of Jetpac, a deep learning technology startup acquired by Google in 2014. He's one of the original creators of the TensorFlow framework, wrote the leading textbook for embedded machine learning, and created a standard data set for short speech recognition. You can find him on Twitter as @petewarden, he blogs at petewarden.com, and has a series of videos available on YouTube.
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Heather Gorr holds a Ph.D. in Materials Science Engineering from the University of Pittsburgh and a Masters and Bachelors of Science in Physics from Penn State University. Since 2013, she has supported MATLAB users in the areas of mathematics, data science, deep learning, and application deployment. She currently acts a Senior Product Marketing Manager for MATLAB, leading technical marketing content in data science, AI, deployment, and advanced MATLAB and Python programming. Prior to joining MathWorks, she was a Research Fellow, focused on machine learning for prediction of fluid concentrations.Yann Debray is a highly skilled MATLAB Product Manager with a passion for data science and technology computing. He has been with MathWorks, a leading provider of MATLAB software, since June 2020 and has since contributed significantly to the company's success.As a Product Manager, Yann is responsible for ensuring that MATLAB remains at the forefront of the industry by keeping up with the latest trends and technologies. He has a deep understanding of the data science market and uses this knowledge to help MathWorks' customers succeed.
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Jeff Perry founded More Than Engineering to bring together his love for engineering/technology with his passion for helping people improve and live more fulfilled lives. In doing this work, he literally gets to see lives change for the better. His unique programs focus on taking a "big picture" approach to personal, leadership, and career development, including cutting edge mindset enhancing techniques. He also loves bringing in fundamental laws of science and engineering to apply to how we can improve as leaders, employees, and citizens. His clients come away with improved mindsets, increased clarity on goals and career direction, and new opportunities that previously they only dreamed of!
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HOLO-LIGHT is unleashing the full potential of Augmented and Virtual Reality (XR) in the enterprise market. By creating an Industrial Metaverse, they are closing the gap between the virtual and the real world. Empowering people to seamlessly create, build and operate in the digital space.HOLO-LIGHT creates unique, industry-ready AR/VR technology: highly innovative and tailored precisely for scalable use cases and business models.
🌎 HOLO-LIGHT: https://holo-light.com/
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João began his motorsport career as an Aerodynamicist at McLaren Racing and then Red Bull Racing, where he also became involved in the development of the Aston Martin Valkyrie. In 2018 he started working trackside, holding various roles as a Performance and Race Engineer in both sportscars and single-seaters, most recently working in the WEC and FIA Formula 2 championships.
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Barbara Young has been utilizing the principles of neuroplasticity since 1978, and her work has grown out of her own journey to transform her own brain. She is the founder of the Arrowsmith Program, an assessment process and suite of cognitive exercises designed to stimulate and strengthen areas of cognitive functioning that underlie a range of learning difficulties. Her work is recognized as one of the first examples of the practical application of neuroplasticity to address learning difficulties and its application has expanded to address those dealing with traumatic brain injury, addiction, cognitive decline with aging and those who want to enhance performance. Barbara is the recipient of the Leaders and Legends Innovation Award from the University of Toronto for her contribution to education.
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Steff Evans runs Evotech Computer-Aided Engineering, on a consultancy basis in the UK. He support companies large and small with product development through advanced FEA. This is often based on pure engineering consultancy, training, software resales, or a combination of all three. He is heavily focused on the technical deployment of a ground-breaking contemporary CAE platform, MSC Apex, throughout the simulation and CAE world. Through a combination of content distribution and online training, he brands himself ‘the Apex guy!’, posting interesting and varied articles to a global audience on best practice and workflow development to get the best efficiency from FEA workflows.
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Dr. Corey Wilks is a Licensed Clinical Psychologist and Executive Coach. Fears hold us back. They encourage us to shy away from challenges, they cause us to fall short of our potential and make life miserable while they’re at it. Corey has created a framework of identifying and overcoming our internal fears from a decade of clinical and coaching experience with some of the world’s highest performers. In this podcast, we talk about the four horsemen of fear, how to tackle the illogical fear of becoming successful, why perfectionism Is a myth and how you can overcome it and much more...
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Pierre Sabrowski and the other founders Maik, Johannes and Felix, help engineers develop great solutions faster than ever before. Their mission: Engineers should be able to focus on delivering great products and to get rid of all unnecessary distractions and limitations within a development process. No installation, no maintenance – just engineering. Engineering and Computer Aided Engineering (CAE) are inseparable.
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Belen Aerospace was founded by Alfred Belen III. The son of a physician and an engineer at Boeing, Alfred was raised in California and became a doctor himself. It was during his time in the United States Air Force he first thought of the concept of internal atmospheric propulsion. He found Belen Aerospace in 2021 with the hopes of making new discoveries in the realm of space travel. He is an avid Sci-fi fan and hopes to make it to the moon within his lifetime. Alfred resides in Upstate New York with his wife and three children.
Sponsored by @Siemens Software
👉 Check the Simcenter website page & Simcenter YouTube playlist
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Dr. Combs is the Dee Howard Endowed Assistant Professor in Aerodynamics in the UTSA Department of Mechanical Engineering. Prior to starting at UTSA, Dr. Combs worked as a Research Assistant Professor at The University of Tennessee Space Institute. His primary area of research interest is in the development and application of non-intrusive diagnostic techniques for compressible flows and he also has extensive experience in investigations of hypersonic boundary layer and SWBLI flow physics.
Sponsored by @Siemens Software
👉 Check the Simcenter website page & Simcenter YouTube playlist
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Jos Stam is a researcher in the field of computer graphics, focusing on the simulation of natural physical phenomena for 3D-computer animation.
Sponsored by @Siemens Software
👉 Check the Simcenter website page & Simcenter YouTube playlist
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Ravi currently serves as a Foreign National Tour Guide and a Global Space Ambassador for John F. Kennedy Space Center in Florida. In 2019, he was nominated by Astronauts and held the position of Solar System Ambassador for NASA Jet Propulsion Laboratory, in Pasadena, California. In 2016, he officially retired from NASA, after a stellar career covering over 28+ years. He was the only person of Indian origin to work on both launch Pads (Complex 39A/39B), from where NASA sent humans to land on the Moon.
Sponsored by @Siemens Software
👉 Check the Simcenter website page & Simcenter YouTube playlist
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Justin is a Senior AI/ML specialist and Product Manager at @Siemens DISW. He has a bachelors, masters and Ph.D in Mechanical Engineering specialising in thermofluids.
Sponsored by @Siemens Software
👉 Check the Simcenter website page & Simcenter YouTube playlist
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Since 2021, Esteban holds a Professorship in Applied Mathematics at the (School of Aeronautics in the Universidad Politécnica de Madrid), which is one of the top schools of aeronautics in Europe with a high reputation in fluid dynamics.
Esteban is coming from an unusual academic trajectory, since he completed his PhD in 2012 at the University of Oxford but had six years of previous work experience in industry. Altogether, he has more than 20 years of academic/industrial experience in numerical techniques for fluid problems and wind turbine design for energy generation.—————————————————————————————
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Lieven Vervecken is the CEO and Initiator of Diabatix. Diabatix is mixing AI/ML with generative design, optimisation & traditional CFD methods to design a new breed of Ai-driven heat sink designs.
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Guillermo Giraldo is an FEA engineer with focus on industrial applications such as: structures, process equipment, piping and products. Guillermo is experienced in nonlinear simulations, thermal, dynamics and fracture mechanics (10+ years) and currently works as a consultant and Customer Support at SimScale.
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Dr. Ricardo Vinuesa is an Associate Professor at the Department of Engineering Mechanics, at KTH Royal Institute of Technology in Stockholm. He is also a Researcher at the AI Sustainability Center in Stockholm and Vice Director of the KTH Digitalization Platform.
He received his PhD in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand and model complex wall-bounded turbulent flows, such as the boundary layers developing around wings, obstacles, or the flow through ducted geometries. He has also led several international initiatives within sustainable and interpretable AI, which have led to highly influential articles in the literature.
Dr. Vinuesa’s research is funded by the Swedish Research Council (VR) and the Swedish e-Science Research Centre (SeRC). He has also received the Göran Gustafsson Award for Young Researchers.
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Milan is a scientist, founder, and author. He studies ocean waves in the SUSTAIN lab at the University of Miami, using theory, experimentation, and numerical modeling and also built Cloudrun with his friend and cofounder Josh Noe. Cloudrun is a SaaS platform for on demand and custom numerical weather prediction. He wrote a book on parallel Fortran programming, and am a founding member of the Fortran-lang open source community.
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Dr. Ehsan Haghighat is a Postdoctoral Fellow at UBC studying stochastic modeling and uncertainty quantification of engineering systems. Previously, he was a Postdoctoral Associate at MIT where he studied the assessment of induced seismicity due to CO2 sequestration and oil and gas injection and production, Stochastic Modeling, and Machine Learning. He received his Ph.D. from McMaster University specializing in Computational Geomechanics. His research interests include computational methods for mechanics of solids and porous media, stochastic modeling and uncertainty quantification, and machine learning of engineering systems.
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Gilbert Strang has made many contributions to mathematics education, including publishing seven mathematics textbooks and one monograph. Strang is the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology. He teaches Introduction to Linear Algebra and Computational Science and Engineering and his lectures are freely available through Massachusetts Institute of Technology OpenCourseWare.
Professor Strang is well-known for his unique and somewhat offbeat presentation style that many find to be both entertaining and highly informative.
B. Ph. Professor of Mathematics, Massachusetts Institute of Technology (since 1962) Honorary Fellow, Balliol College, Oxford President, Society for Industrial and Applied Mathematics (1999, 2000) Chair, United States. National Committee on Mathematics (2003–2004) Chair, National Science Foundation (National Science Foundation) Advisory Panel on Mathematics Board Member, International Council for Industrial and Applied Mathematics (ICIAM) Abel Prize Committee (2003–2005).
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Ian Campbell is the chief executive officer of OnScale.
Prior to founding OnScale, Ian served as founder and CEO of NextInput, where he led the startup through multiple rounds of funding -- totaling $12 million and an additional $4 million in research contracts with government and industry partners -- and built a world-class team of engineersand scientists who developed 3D Touch and ForceTouch technologies for smartphones, wearables, industrial and automotive applications.
He also secured the first major smartphone OEM design wins. Ian earned his B.S. in mechanical engineering from Middle Tennessee State University, and his MSAE in aerospace engineering and MBA from Georgia Institute of Technology.
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Sepp Hochreiter is heading the Institute for Machine Learning, the LIT AI Lab and the AUDI.JKU deep learning center at the Johannes Kepler University of Linz in Austria and is director of the Institute of Advanced Research in Artificial Intelligence (IARAI).Sepp Hochreiter is a pioneer of Deep Learning.
His contributions to the Long Short-Term Memory (LSTM) and the analysis of the vanishing gradient are viewed as milestones and key-moments of the history of both machine learning and Deep Learning. Sepp laid the foundations for Deep Learning in two ways. Dr. Hochreiter’s seminal works on the vanishing gradient and the Long Short-Term Memory (LSTM) were the starting points for what became later known as Deep Learning.
LSTM has been overwhelmingly successful in handwriting recognition, generation of writings, language modeling and identification, automatic language translation, speech recognition, analysis of audio data, as well as analysis, annotation, and description of video data.
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As a technical consultant in the field of additive manufacturing and generative design, Moritz leads ELISE as managing director on the way to develop software for generative engineering.
Using ELISE, engineers and designers can visually program several engineering steps and even digitalize a complete product development process. ELISE is an open platform, so you may even include third-party software here. Now, all results are available.
In this way, complex processes can be run through automatically as part of an optimization. Automated product development with generative engineering brings you faster to your goal with a pinpoint landing of the result.
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Following a PhD, and more than 10 years in industrial FEA design, and with more than 10 years in academia, Lukasz realized high-end, challenging designs were exactly what he wanted to focus on. He and His team at Enterfea work hands-on as they collaborate with clients around the world, working together on designs that solve problems and create a peace of mind.
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Based on his fascination for GPU and 3D graphics, Eugen initiated the development of a prototypical GPU-accelerated program for simulating flows as early as 2007 during his studies in aerospace at the Technical University of Munich (TUM).
Following his studies, he brought the software prototype into an existing spin-off company, which he had previously helped to build through his expertise in HPC and GPU. With the experience he gained, he started his own business in 2013 to develop pacefish® to market maturity as a highly efficient tool for simulating fluid flows. In 2016, he then founded Numeric Systems GmbH.
Since then, Eugen Riegel and his team have been working on pacefish®, a product he has always believed in and which is characterized by his strong perseverance and enthusiasm for highly efficient software.
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Dr. Neil Ashton leads the Computational Engineering Product & Technology Strategy at Amazon Web Services, with a particular focus on Computational Fluid Dynamics and High Performance Computing (HPC). He also is a Visiting Fellow at the Department of Engineering Science in the University of Oxford and a Fellow of the Institution of Mechanical Engineers.
Previous to these positions he worked in Formula 1 with the Lotus F1 team (now Alpine F1 team). He is passionate about pushing the state of the art of CFD forward and ultimately enabling an entirely virtual engineering design process.
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Lukasz is a senior lecturer at Glasgow University Jams Watt School of Engineering. He graduated with Civil Engineering degree, specialising in Computational Mechanics, form Cracow University of Technology, Poland. His doctoral studies were undertaken at the same institution, which he defended with distinction in 2006. His PhD thesis was entitled “Numerical analysis of multi-scale problems in mechanics of heterogeneous materials”.
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Mike Cavaliere is a 20-year veteran of full-stack web development. He’s a Senior Software Engineer at Echobind and author of Cut Into The Jamstack: Build and Deploy a Full-Stack Application Using React and Next.js.
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Slawomir Polanski is an engineer with a passion for numerical simulations. The Master's degrees achieved both in Mechanical Engineering and Computer Science fields made him realise that simulations are what he wants to do for a living. That's why he did everything to become a simulation engineer and he is currently working in TECHNIA UK. He is also an author of the COFEA initiative which aims to popularise the usage of open-source Finite Element codes.
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Jason Bramburger is an incoming associate professor of mathematics at George Mason University. He has broad interests in dynamical systems, including pattern formation, chaos theory, and data analysis. Jason received his PhD in applied mathematics from the University of Ottawa in 2017 under the supervision of Benoit Dionne and Victor LeBlanc. Currently he is an acting instructor at the University of Washington working in the Brunton-Kutz group at the interface of machine learning and chaos theory. He has also been named a fellow of the Institute of Advanced Study in Surrey, UK for the 2021-2022 academic year.
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Cemal is a Professor in the Dept. of Civil, Structural and Environmental Engineering at University at Buffalo, The State University of New York. He specializes in computational and experimental mechanics of electronic materials. He has authored 150 + peer reviewed journal publications, a textbook on Unified Mechanics Theory, and several book chapters.
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Haifeng Jin is a software engineer on Keras team at Google. He is the creator of AutoKeras, coauthor of Keras Tuner, and a contributor to Keras and TensorFlow. Haifeng got his Ph.D. in computer science at Texas A&M University. His research interest is automated machine learning (AutoML).
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David Kopec is active in the open source community as the author of several popular Swift data structure projects. He is the author of the Classic Computer Science Problems book series, which includes Classic Computer Science Problems in Swift (Manning, 2018), Classic Computer Science Problems in Python (Manning, 2019) and Classic Computer Science Problems in Java (Manning, 2020).
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Dominique is a senior aerospace consultant with more than 20 years’ experience and advanced expertise in Finite Element Analysis of static and dynamic problems for linear and nonlinear structural behaviors.
He is the author of the FEA book "Practical Finite Element Analysis for Mechanical Engineers", a book about the best practical methods and guidelines for the development and validation of finite element models. It gives to the structural engineers the keys to developing accurate and reliable finite element models.
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Dr. Sarah Kaiser is currently a technical staff member and quantum community lead at Unitary Fund and has spent much of her career developing new quantum hardware in the lab. From building satellites to hacking quantum cryptography hardware, communicating what is so exciting about quantum is her passion. She loves building new demos, tools, and partnerships to help enable the quantum open-source community to grow.
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Dr. Bernat Font obtained his MEng in Aeronautical Engineering from the Universitat Politecnica de Catalunya (Spain) together with an MSc in CFD from Cranfield University (UK) in a double degree program in 2015.
Next, he started a PhD program half hosted by the University of Southampton (UK) and by A*STAR (Singapore) focused on developing a dimensionality-reduction method for turbulent homogeneous flows, graduating in September 2020.
Following this, he has collaborated with Oxford University on the transport of porous particles in channel flow. He is currently a Postdoctoral researcher at the Barcelona Supercomputing Center (BSC-CNS) working on NextSim, an European project to develop a fast numerical flow solver for aerodynamic applications.
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Sanjay is a senior director at NVIDIA with a strong background in both traditional computational methods as well as machine learning in science and engineering. He leads the engineering efforts on SimNet and is passionate about development of AI-based simulation solutions for industrial applications.
NVIDIA SimNet is a Physics-Informed Neural Networks (PINNs) toolkit for engineers, scientists, students, and researchers who either want to get started with AI-driven physics simulations, or would like to leverage a powerful framework to implement their domain knowledge to solve complex nonlinear physics problems with real-world applications.
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Sharon Zhou is an expert in deep generative models such as Generative Adversarial Networks (GANs). She created and teaches the Generative Adversarial Networks (GANs) course at Stanford and on Coursera, with nearly 40K students enrolled in the latter.
Sharon also has a penchant towards applying generative models—and AI more broadly—to social good. Some of her research is on AI for climate change & healthcare as well. She loves spending her time building generative models and thinking about how we can nurture them for good.
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Dr. Anna Lembke received her undergraduate degree in Humanities from Yale University and her medical degree from Stanford University. She is currently Professor and Medical Director of Addiction Medicine, Stanford University School of Medicine. She is also Program Director of the Stanford Addiction Medicine Fellowship, and Chief of the Stanford Addiction Medicine Dual Diagnosis Clinic. She is a diplomate of the American Board of Psychiatry and Neurology, and a diplomate of the American Board of Addiction Medicine.
Dr. Lembke recently appeared on the Netflix documentary "The Social Dilemma", an unvarnished look at the impact of social media on our lives. In her new book “Dopamine Nation: Finding Balance in the Age of Indulgence”, Anna explores the exciting new scientific discoveries that explain why the relentless pursuit of pleasure leads to pain and what to do about it.
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Alessandro is an enthusiastic Aerospace Engineer, with a great passion for Artificial Intelligence and Machine Learning. He has more than 9 years of proven expertise in Software Development for Advanced Scientific Applications and Complex Software Systems.
Addicted to the Reinforcement Learning world, in particular to its applications in videogames, Co-Author of Packt’s Book “The Reinforcement Learning Workshop”, and creator of DIAMBRA | Dueling AI Arena (diambra.artificialtwin.com), a place where to watch RL Agents being trained to play videogames, and competing one against the other in Tournaments.
He is [Co]Founder of innovative initiatives, including one of the first cloud-based platforms to perform Fluid Dynamics and Stress Analysis simulations within a web-browser, and a customized service for Machine Learning, Computational Geometry and Physical Modeling applications.
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Bilal Zaidi is the Founder & CEO of the great podcast Creator Lab. He is a multi-time entrepreneur and creator, having previously built and scaled a successful ecommerce store as a teen and led partnership teams at Google and charity: water. Creator Lab is a podcast and digital marketing consultancy. On his weekly podcast, Bilal interviews world-class creators and entrepreneurs to break down the tactics behind how they built their businesses. Creator Lab has been listened to in over 100 countries and featured world renowned guests from Gary Vee (GaryVee) to Anthony “Pomp” Pompliano and Jack Butcher (Visualize Value).
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Astrid Walle is a mechanical engineer with a PhD in Computational Fluid Dynamics (CFD) and more than a decade of experience in applied fluid mechanics. She has held several positions in gas turbine aeromechanics, R&D and AI development at Siemens Energy, Vattenfall SE and Rolls Royce. As a recognized industry expert she has recently taken on the challenge of starting her own business as a freelancer, following her professional determination, to combine numerical simulation and data analytics.
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Chris Williamson is a TEDx Speaker, YouTuber, hosts a podcast called Modern Wisdom and coaches people to get more out of life. He thinks a lot about how to live a good life, finding your purpose, maximising human performance, productivity, fitness and psychology.
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Aidan is a Chartered Mechanical Engineer based in the United Kingdom (UK) specialising in Computational Fluid Dynamics (CFD) and heat transfer. Aidan addresses industrial fluid dynamics and heat transfer problems across a range of sectors and routinely develops solutions to complex modelling problems including: conjugate heat transfer, solid particle transport and rotor aerodynamics. In his spare time, Aidan teaches Computational Fluid Dynamics online through his popular YouTube channel 'Fluid Mechanics 101'. His aim is to encourage and inspire engineers and provide them with the tools they need to solve the worlds most challenging fluid dynamics problems.
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Eric Jorgenson is a startup growth guy, writer, and (rarely) an Angel investor. He is on the founding team of Zaarly, and has been publishing online since 2014. His business blog, Evergreen, has educated and entertained over a million readers.
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StatQuest started out as an attempt to explain statistics to his former co-workers – who were all genetics researchers at UNC-Chapel Hill. According to Josh Starmer, they did amazing experiments, but they didn’t always know what to do with the data they generated. That was his job. But he wanted them to understand that what he did wasn’t magic – it was actually quite simple. It only seemed hard because it was wrapped up in confusing terminology and typically communicated using equations. He found that if he stripped away the terminology and communicated the concepts using pictures, it became easy to understand
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Alex Tamkin is a third-year PhD student in Computer Science at Stanford, advised by Noah Goodman and part of the Stanford NLP Group. His research area is machine learning, especially applied to natural language processing. Recently, he has been thinking about curiosity, abstraction, and transfer in unsupervised learning.
In the past, he has worked on projects in reinforcement learning, HCI, and computational astronomy. Alex also spent time at Google Brain, Google Language, and Google Civics.
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Dr. Steven Brunton's research focuses on combining techniques in dimensionality reduction, sparse sensing, and machine learning for the data-driven discovery and control of complex dynamical systems. He is also interested in how low-rank coherent patterns that underlie high-dimensional data facilitate sparse measurements and optimal sensor and actuator placement for control. He is developing adaptive controllers in an equation-free context using machine learning. Specific applications in fluid dynamics include closed-loop turbulence control for mixing enhancement, bio-locomotion, and renewable energy. Other applications include neuroscience, medical data analysis, networked dynamical systems, and optical systems.
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Yannic Kilcher has a Master's in CS from ETH and now he is a PhD student and researcher at ETH in the Data Analytics Lab by day and an AI YouTuber by night.
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Michael Kennedy is the founder and host of two successful Python podcasts: Talk Python To Me and Python Bytes. He runs Talk Python Training which provides best-of-class online courses for Python developers. He is deeply involved in the Python community, is a MongoDB Master, and knows a thing or two about .NET as well. Michael has taught over 100 week-long developer training courses spread across 4 continents. He has spoken at a number of US and international conferences including NDC, Software Design and Development, DevWeek, Software Architect and more.
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Veljko Krunic is an independent consultant and trainer specializing in data science, big data, and helping his clients get actionable business results from AI. He holds a PhD in computer science from the University of Colorado at Boulder and an additional degree in engineering management from the same institution. His MS degree in engineering management focused on applied statistics, strategic planning, and the use of advanced statistical methods to improve organizational efficiency. He is also a Six Sigma Master Black Belt. Veljko consulted with or taught courses for five of the Fortune 10 companies (as listed in Sept 2019), many of the Fortune 500 companies, and a number of smaller companies, in the areas of enterprise computing, data science, AI, and big data. Before consulting independently, he worked in the PSO organizations of Hortonworks, the SpringSource division of VMware, and the JBoss division of Red Hat. In those positions, he was the main technical consultant on highly visible projects for the top clients of those PSO organizations.
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David Movitz is a mechanical engineer with a passion for leadership, problem solving and teamwork. While studying at the University of Iowa, he founded the Iowa Formula racing team, a student organization that designs, manufactures, and races an electric formula race car for international competitions. As Team Principal, he grew the team to over 50 members and led them to compete within their first year, an accomplishment few teams have achieved. David currently works for a 3D printing manufacturer, Impossible Objects, as an Applications Engineer. He works with companies to create stronger and lighter parts made from carbon composite materials using a patented 3D printing process. While focused on 3D printing today, David studies new technological innovations with the intention of creating his own start up in the future.
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Alex Castillo was a Software Engineer at Netflix and left to pursue his dream to build Neurosity. He is very passionate about the human brain and how we can use technology to understand it better. Alex has contributed to the open source community and focuses on Angular, React and NeuroTech. In his spare time, he likes experimenting with guitars and IoT. Neurosity is reimagining brain-computer interfaces and neuro-powered applications.
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Reuven Lerner is a full-time Python trainer, he teaches courses at companies in the United States, Europe, Israel, India, and China — as well as to people around the world, via his online courses. Reuven created one of the first 100 Web sites in the world just after graduating from MIT’s computer science department. He opened Lerner Consulting in 1995, and has been offering training services since 1996. Reuven’s most recent book is “Python Workout,” a collection of Python exercises with extensive explanations, published by Manning. He has a bachelor’s degree in computer science and engineering from MIT, and a PhD in learning sciences from Northwestern University.
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Kim Crawley is dedicated to researching and writing about a plethora of cybersecurity issues. Some of the companies Kim has worked for over the years include Sophos, AT&T Cybersecurity, BlackBerry Cylance, Tripwire, and Venafi. All matters red team, blue team, and purple team fascinate her. But she’s especially fascinated by malware, social engineering, and advanced persistent threats. Kim’s extracurricular activities include running an online cybersecurity event called DisInfoSec, and autistic self-advocacy.
Phillip Wylie is a Lead Curriculum Developer at Point3 Federal, Adjunct Instructor at Dallas College (formerly Richland College), and The Pwn School Project founder. Phillip has 23 years of experience with the last 8.5 years spent as a pentester. Phillip has a passion for mentoring and education. His passion motivated him to start teaching and founding The Pwn School Project. The Pwn School Project is a monthly educational meetup focusing on ethical hacking. Phillip teaches Ethical Hacking and Web Application Pentesting at Dallas College in Dallas, TX. Phillip holds the following certifications; CISSP, NSA-IAM, OSCP, GWAPT
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Chris Rackauckas is an Applied Mathematics Instructor at MIT, a Senior Research Analyst in the University of Maryland School of Pharmacy, and the Director of Scientific Research at Pumas-AI. He is the lead developer of the SciML open source scientific machine learning organization which develops widely used software for scientific modeling and inference. Chris' work on high performance differential equation solving is the centerpiece accelerating many applications from the MIT-CalTech CLiMA climate modeling initiative to the SIAM DSWeb award winning DynamicalSystems.jl toolbox. Chris is also the lead developer of Pumas, the foundational software of Pumas-AI for nonlinear mixed effects modeling in clinical pharmacology. For this work in pharmacology, Chris received the Emerging Scientist award from ISoP, the highest early career award in pharmacometrics.
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Caglar is a physicist and computational neuroscientist working in the neural information processing group in the technical university of Berlin. This group is concerned with the principles underlying information processing in biological systems. Caglar has a wide variety of interests reaching from the interpretation of quantum mechanics, cosmology, programming, cryptocurrencies to decentralized systems.
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Tobias is a CFD engineer, OpenFOAM enthusiast and well known in the OpenFOAM community by contributing an enormous amount of material as well as knowledge to the world. His website provides helpful content concerning OpenFOAM®, he offers free available training videos, screencasts, cases, publications, developments, and extensions, as well as many fun simulations, are ready to use and watch for people all over the world. Tobias tries to keep the level of simulations for his costumers at a decent and sustainable level. He has a personal credo not to manipulate any numerical data, plot, or other things related to the computational fluid dynamics within a fair price.
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Anish is a multi disciplinarian who has worked as medical doctor, bioinformatician, strategy consultant and cryptographer. He has spend half his career researching cryptographic algorithms and protocols at three different research groups. He is an early adviser to Ripple. cofounder of Ethicsnet, and head of research at the Information Sciences Institute at SRH University of Applied Sciences.
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Luca Antiga has a PhD in Bioengineering and worked in research until 2009. He is co-founder and CTO at Orobix, where they are busy taking artificial intelligence into the real world. Eli Stevens has spent the majority of his career working at startups in Silicon Valley, with roles ranging from software engineer to CTO. At publication, he is working on machine learning in the autonomous vehicle industry. Thomas Viehmann is a Munich based machine learning trainer and founded the boutique consultancy MathInf GmbH. He is one of the most prolific independent PyTorch contributors. His interests range from mathematical intuition and interpretation to the low level details of making computation fast. He holds a PhD in pen and paper mathematics from the University of Bonn.
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David Josephs studied aerospace engineering and astronomy, he’s an aspiring data scientist, vivid open source contributor, chess player and ML researcher. His interests go from explainable models to time series over parametrized deep learning and a lot of other exciting topics like RL and myoelectric control to map brain signals in the body to motions in the extremity to control prosthetic limbs.
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Doug Farrell has been programming for a long time in several languages and he has worked in process control, embedded systems, retail CD Rom software and both Internet and Intranet web applications. Currently Doug is fortunate enough to code in Python, with a large slice of JavaScript just for fun. He also teaches Python to kids at a STEM place near where he lives, and writes course materials for the same. He’s also writing a book for Manning Publishing called “The Well-Grounded Python Developer”.
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Adam Kelly is a software engineer at General Motors in Austin, Texas working on computer vision and 3D development. Prior to that he worked on the HoloLens team at Microsoft in Seattle, WA. Adam has a degree in Computer Science from the University of Michigan. All of his 3D development and deep learning skills come from practical projects and self-directed learning he does in his free time. He is also the creator and co-owner of immersivelimit.com. The Immersive Limit website and YouTube channel are where he shares tutorials, courses, current projects, and thoughts on the AI industry.
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Goku is currently an AI researcher / advisor in the health space. He was more recently the Head of ML at Ciitizen and worked on Natural Language Processing applications for several years at Apple before that. He has also been involved in democratizing education through blogs, technical publications, courses and more recently the Made With ML platform.
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Monishwaran is one of the youngest Computer Scientists working in the field of Deep learning, Cognitive Computing, Blockchain, and Quantum Computing. Over the past several years, Monishwaran has developed numerous projects, using Artificial Intelligence, ranging from accelerating the diagnosis of Schizophrenia to combating Malaria using blood diagnosis. He has collaborated with several companies in the hopes of building a better world. Monishwaran has authored a number of groundbreaking books on technology, programming, and innovation. He believes programming needs to considered as a primary language, and should be taught to everyone. His project, The Neural Connect, uses deep learning to change the way humans interact with the environment and provides a new communication media for people who can't communicate effectively. His other inventions include Project TAR-Teaching Through Augmented Reality, Assistive technology for the Hearing and Visually Impaired, Anti-traffic congestion system, Air mouse. He is currently involved in bringing the power of Quantum Computing to the hands of common people.
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Manuel Bruschi is the founder of the company Timeular which empowers people to track their job routines to then analyze and design better ones that create more value for themselves and the people around them. They believe this will lead to a future where everyone has a rewarding job.
Get the time management cube: https://bit.ly/39AHqZh
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Dr. Jozsef Nagy graduated from the Vienna University of Technology in Physics and finished his PhD in Chemical Engineering. For six years he held the position of a post-doc at the Johannes Kepler University, where he worked on polymer materials. He is the Chair of the Technical Committee for Tutorials and Documentation in the OpenFOAM Governance System. At this point, He has the biggest YouTube channel with specialized tutorials for learning CFD with OpenFOAM. Currently he is a CFD engineer at eulerian-solutions e.U. His areas of interest are diverse, multiphase flows, complex materials, porous media, fire and species dispersion, Fluid-Solid Interaction (FSI) and model development and implementation as well as custom workflows for specific applications.
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Fabian, CEO of AI for Humans, is an international expert on Artificial Intelligence strategy, entrepreneur and venture capitalist. He advises governmental institutions including the European Commission, European Space Agency, German parliament, Chinese ministry of technology and departments such as the secretary of defense and foreign ministry, as well as Fortune 500 companies, think-tanks and startups. Furthermore Fabian is founder of Rise of AI, organizing Events for 30,000 leaders in AI; and Managing Partner at Asgard – human VC for AI.
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Ferran is currently in his last year of his Mechanical Engineering degree and was part of the group of students that founded the EUSS Motorsport Formula Student team from their University back in 2017 - they are currently developing their 3rd prototype. Ferran is literally a massive petrolhead and highly passionate about racing.
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Pierre is Chief Executive Officer at Neural Concept, which he co-founded in 2018. Pierre received an engineering degree in Applied Mathematics and a Masters degree in Operations Research from Ecole Polytechnique in France. After working as an optimization and machine learning engineer for Credit-Suisse in London, he joined the Computer Vision Laboratory at EPFL, where he obtained his doctoral degree under the supervision of Prof. Pascual Fua and Prof. Francois Fleuret. His research focused on Deep Structured Learning and Variational Inference applied to Computer Vision. During and after his thesis, Pierre worked as a consultant in Machine Learning and optimization for multiple companies such as Thales, EFCables, Sonalytic (Spotify) and Honywell.
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Jon Krohn is Chief Data Scientist at the machine learning company untapt. He authored the 2019 book Deep Learning Illustrated, an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and the NYC Data Science Academy, as well as online via O'Reilly, YouTube, and his podcast, the Artificial Neural Network New Network. Jon holds a PhD in neuroscience from Oxford and has been publishing on machine learning in leading academic journals since 2010.
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In 2015, after 8 years of research and achieving his PhD, Markus Ihmsen together with his research colleague Jens Cornelis founded the company FIFTY2 Technology which is a constantly growing start-up and think tank for world class researchers and engineers.
The company’s vision: Transforming the engineering process allowing to craft sustainable, more innovative and safer products at lower costs while pushing the boundaries of simulation possibilities.
The first product, PreonLab, is a particle-based simulation software for free-surface fluids which is unique in its ease of use, high performance and visualization capabilities. PreonLab is productively used by more than 50 companies in 12 countries.
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Andrew G. Barto is a former computer scientist and professor emeritus and known for his research on learning in machines and animals. He worked on developing learning algorithms that are useful for engineering applications but that also make contact with learning as studied by psychologists and neuroscientists.
When it comes to reinforcement learning (RL), it has been immensely gratifying for Andrew to participate in establishing new links between RL and methods from the theory of stochastic optimal control. Especially exciting are the connections between temporal difference (TD) algorithms and the brain's dopamine system.
Plenty of people know him as one of the authors of the great book “Reinforcement Learning: An Introduction” which he wrote with his colleague Richard Sutton.
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Luis Bollinger co-founded the Augmented Reality startup Holo-Light. As CMO he is responsible for Marketing and deeply involved in partnerships and the company's strategy. He studied Business Administration in Munich and worked for Analog Devices and OSRAM before becoming an entrepreneur.
Founded in 2015, Holo-Light specializes in immersive software and technologies. In Augmented and Virtual Reality (XR), the XR expert sees a driver for global digitization and a new way of experiencing and interacting with 3D content. With Interactive Streaming for Augmented Reality (ISAR), Holo-Light has developed a remote rendering software component to stream entire XR applications in real time. The technology can be easily integrated into apps and already empowers Holo-Light's in-house AR Engineering Software ARES in the industrial sector.
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Paul holds a PhD in Computer Science from Massachusetts Institute of Technology (MIT). In his dissertation he developed novel global optimization techniques for previously unaddressed problem classes, including parabolic partial differential equations (PDEs), to improve the optical efficiency of solar energy. He has served as a Principal Investigator on several DARPA research program teams advancing the state of the field of Natural Language Processing (NLP). He has held the role of Research Director in Artificial Intelligence (AI), Machine Learning (ML)/Data Science and NLP at companies ranging from small rapidly growing startups such as New Knowledge/Yonder to large companies such as Dun & Bradstreet.
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When Milad was 14 years old, he used Computational Fluid Dynamics to investigate how overtaking manoeuvres in formula 1 are aggravated due to turbulence – with that he won the contest for young scientists called “Jugend forscht”. After that he started consulting businesses like Volkswagen, Airbus, CarboTech in the field of Computational Fluid Dynamics and Aerodynamics and later on he focused on innovation management.
His last station before founding his startup Modum was the cloud-based simulation provider SimScale. Modum is a DTC bespoke dress shoe brand. Their proprietary 3D scan and 3D printing technology allow producing bespoke shoes on any standard industrial production line on-demand and at the same cost as mass-produced, ready-to-wear shoes.
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Daniel is a founder, an engineer, a teacher and a communicator. He currently works at Edge Impulse as Founding TinyML Engineer. He is a co-author of the great book published by O’Reilly called "TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers".
He previously worked at Google as a Developer Advocate for TensorFlow Lite, enabling developers to deploy machine learning to edge devices, from phones to SoCs and was also Developer Advocate for Dialogflow, a tool for building conversational AI.
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In this episode I welcome three guys from the mu-zero Hyperloop team from Karlsruhe. The team captain Leonhard Döring, the division leader of continuous development Lars Ohnemus and the head of technology, Olaf Dünkel.
Their vision: a journey from Munich to Hamburg in 45 minutes with a Hyperloop, which takes seven hours by train. Enabled by extremely low friction caused by the low pressure in the tube the Hyperloop is in and the levitation mechanism that makes the pod float.
Mu-zero is a group of students from Karlsruhe, Germany who are convinced that the Hyperloop concept could change our way of moving forever! They want to face the technological challenges and pave the way into a new era, the era of zero friction.
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Jannik Zürn is pursuing a PhD in Robotics and Artificial Intelligence at the University of Freiburg in Germany. In his research he aims at improving robot perception using unsupervised and self-supervised learning techniques. In his previous studies and in his Master's Thesis, he focussed on applying Deep Learning for problems in Computational Fluid Dynamics.
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Lukasz Skotny is an FEA consultant, and academic teacher. He has been involved with Finite Element Analysis (FEA) for more than 10 years now which included various projects in at least 20 countries on 4 continents. Thanks to his experience both in applied FEA and academic teaching he is creating teaching material to avoid these frustration. According to Lukasz, he says that “FEA is a wonderful tool that can have a tremendous impact on your career – give it a try, you won’t regret it.”
In this episode, we will not only talk how he got hooked in FEA and realised how scarce good materials were but also how he spent long nights in frustration learning everything with trial and error – he will also give you great tips on how to get started in the Finite Element Method and how to develop your skills.
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Beril is a Dutch AI researcher who has received her PhD degree in Electrical and Electronics Engineering in 2009 in Istanbul. She has later worked with the German Aerospace Center and pursued habilitation degree with University of Osnabrueck. She has worked as a guest lecturer at University of Augsburg and several other German universities until 2011. Between 2011 to 2020, she worked at Delft University of Technology and University of Twente respectively. She is an assistant professor at Jonkoping AI Lab where she is focusing on AI applications for healthcare and earth care.
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Top-notch Python courses for you: https://bit.ly/2S6DJC3
Jim Cantrell is the former VP of Business Development at SpaceX and founder of several entrepreneurial start-ups, including Vector Launch developing affordable small launch capabilities aimed at the Micro Spacecraft market & Stratspace with a long history in pivotal technical and financing roles in the aerospace industry. Jim’s career also includes assignments at the French Space Agency CNES, the NASA Jet Propulsion Lab and has resulted in experience in over 46 satellite flight missions including the Iridium Next space telephone system. He is a world recognized technical innovator and has received numerous professional awards, he has pioneered the concepts of software defined satellites, micro launch vehicles and space situational awareness sensors.
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Hasan Kubba is an author, entrepreneur and startup strategist, as well as a specialist in technology startups, marketing and fundraising. With his own London-based digital marketing business and startup investment experience, Hasan is particularly strong at breaking down complex business concepts into simple and effective strategies and tactics. His recent TEDx talk titled "Startups, Entrepreneurship and Unfair Advantages" was voted highest ever on the Official TED subreddit. He is passionate about the future of entrepreneurship and digital disruption globally and is an in-demand startup mentor to early-stage entrepreneurs, workshop trainer, and international speaker.
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After years of CFD simulations (computational fluid dynamics) and occasional physical wind tunnel testing, Wouter Remmerie founded AirShaper: this platform features an automated workflow to analyze & optimize the aerodynamics of 3D models – no CFD knowledge required. Since the launch in June 2018, it’s being used by customers in the drone, sports, infrastructure, energy and of course transportation & car industry. AirShaper has recently been awarded “Motorsport Technology of the Year” by the Professional Motorsport World Expo.
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Chris Mattmann is the Deputy Chief Technology and Innovation Officer (CTIO) in the Office of the Chief Information Officer at NASA JPL. At JPL Mattmann manages the Advanced IT Research and Open Source Office. Dr. Mattmann is also JPL's first Principal Scientist in the area of Data Science. In this podcast we talk about Big Data, Artificial Intelligence, his book & Tensorflow but he also gives very interesting insights to his work at NASA JPL and future plans!
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Luboš Pirkl is the managing director of CFDSUPPORT. Luboš's specialization is strategy, product management, and business development. He studied at the Czech Technical University in Prague and got his master degree in Mathematical modeling in engineering in 2007, later he successfully finished his Ph.D. studies in 2011, where he majored in Mathematical modeling in Hemodynamics.
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Alexey Grigorev is a software engineer with a focus on machine learning. He works at OLX Group as a Lead Data Scientist. Alexey is a Kaggle master and he wrote a couple of books. One of them is “Mastering Java for Data Science” and now he’s working on another one — “Machine Learning Bookcamp”.
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Anatoly joined the Allen Institute in 2017 and works in Modeling, Analysis and Theory group (MAT). He is currently working on detailed biophysical simulations of individual neurons and networks of human hippocampus. The goal of this work is to understand how single cell biophysical properties determine the normal and pathologic dynamics in the human brain. The particular focus of his research are the mechanisms of temporal lobe epilepsy and potential intervention using brain stimulation.
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Wolfgang Gentzsch is Co-founder and President of UberCloud. Together with Burak Yenier he founded UberCloud in 2014 to develop novel HPC technology to move complex engineering simulation workloads to the cloud. He was a professor of applied mathematics & computer science, working as a scientist at the Max Planck Institute and as Head of CFD department at the German Aerospace Center and he founded several companies in the Parallel Computing sector. From 2004 to 2008 Wolfgang was a member of US President's Council of Advisors for Science and Technology (PCAST).
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Dr. Krishnendu Chaudhury is one of the world’s foremost computer vision and deep learning experts. Over his 20 year career, he’s been directly responsible for some of the most groundbreaking technical innovations in the history of Google, Flipkart and Adobe. Today, he’s charting and realizing a technical vision for digitizing human actions in real time: a challenge that’s pushing the boundaries of computer vision and deep learning even further. He is also the author of the book "Mathematics and Architectures of Deep Learning".
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Tomer has graduated at Tel Aviv University, specifically targeting the field of fluid dynamics and CFD, focusing his thesis on a specific mode of transition, namely the bypass transition. It was actually his second year of mechanical engineering undergraduate studies of which he fell deeply in love with the science of turbulence and computational fluid dynamics. He is absolutely passionate about physics, especially fluid dynamics and CFD which for him is a hobby, a passion and a pursue as it occupies him even on times it’s not directly practiced.
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Christopher Chamberlain and Lisa Widman are both from the Human Resource (HR) Team at SimScale. SimScale is an engineering simulation platform that is revolutionizing the way engineers, designers, scientists, and students design products. The SimScale platform is accessible completely via a standard web browser, harnessing the power of the cloud and cutting-edge simulation technology to build not just another simulation software but an ecosystem in which simulation functionality, content, and people are brought together in one place enabling them to build better products.
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Cyprien Rusu is a French engineer who would loves to share his passion about the Finite Element to help Engineers all over the world. He has been using FEA for more than 10 years now and wants to change the way FEA is taught in order to make it more accessible to engineers and designers who really need it to improve their products. With his Blog “Fea for All”, he is creating content and FEA courses for everyone interested in learning FEA.
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Miguel is a full-time Deep RL researcher at Lockheed Martin, a part-time Instructional Associate at Georgia Institute of Technology for the course on Reinforcement Learning and Decision Making, a Content Developer at Udacity for the Deep Reinforcement Learning Nanodegree, and the author of the great book “Grokking Deep Reinforcement Learning”.
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For the third podcast I am very happy to have the team of DarkAero on the show. They are a team of three brothers - Keegan, River, and Ryley Karl. They are engineering the fastest longest range aircraft you can build in your garage!
Their inspiration for the company and the DarkAero 1 grew out of years of visits to EAA AirVenture. Over those years they were always looking for new kit aircraft attempting to push the limits of speed, range, and efficiency by leveraging the latest tools, materials, and technology.
After a few years of quietly researching, testing, and experimenting they decided to leave their engineering jobs in July 2017 to pursue DarkAero full time with the mission of creating the best kit aircraft.
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Today's guest is Luis Serrano. Luis is a quantum AI research scientist at Zapata Computing. In the past he worked in artificial intelligence at Apple as the lead AI educator and Google as well as at Udacity as the head of AI and data science content.
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Today's guests are Brendon & Adam, the team behind Atlantis Sea Colony. Brendon came up with the vision for this project around 1994 while in high school. The focus was always to allow people to live underwater without ever having to get wet. He wanted it to be available to anyone, regardless of health condition or age.
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