Podcasts about Computational engineering

New Zealand born Aerospace engineer Karen Willcox is on the frontline of the rapidly developing field of digital twins. Digital twins are two-way data driven virtual representations that predict real world outcomes, with applications spanning aviation, aerospace, medicine and climate change. Willcox is director of the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin. Willcox spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as the founding co-director of the MIT Center for Computational Engineering.

Joining us today is Lin Kayser, the co-founder of Leap 71 – a Dubai-based company pioneering the emerging field of Computational Engineering. Lin started coding as an 8-year-old and is a serial entrepreneur with 30 years of experience in building high technology ventures. ➡️ https://leap71.com/ ➡️ https://rosspalmer.com/lin-kayser ➡️ Follow me on Instagram: @therosspalmer ➡️ Subscribe on YouTube: @therosspalmer

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes 2022 ACM A.M. Turing Award Laureate Robert Metcalfe, Emeritus Professor of Electrical and Computer Engineering at The University of Texas at Austin and Research Affiliate in Computational Engineering at the Massachusetts Institute of Technology (MIT) Computer Science & Artificial Intelligence Laboratory (CSAIL). Metcalfe received his Turing Award for the invention, standardization, and commercialization of Ethernet, the foundational technology of the Internet, which supports more than 5 billion users and enables much of modern life. His other honors include the National Medal of Technology, IEEE Medal of Honor, Marconi Prize, Japan Computer & Communications Prize, ACM Grace Murray Hopper Award, and IEEE Alexander Graham Bell Medal. He is a Fellow of the US National Academy of Engineering, the American Academy of Arts and Sciences, and the National Inventors, Consumer Electronics, and Internet Halls of Fame. In a wide-ranging interview, Bob reflects on his “Ethernet paper” with David Boggs from 1976, and how the interoperability and backward compatibility baked into the Ethernet allows the technology to hold up today, in the age of Netflix and Zoom. Bob also describes his most recent project, modeling geothermal wells as a computational engineer at MIT, with the aim of harnessing geothermal energy as an alternative to fossil fuels. Along the way, they touch on “stretch goals,” GPUs, and how far down “the stack” one needs to go to fully appreciate and understand a piece of technology.  Link: "Ethernet: Distributed Packet Switching for Local Computer Networks" (Metcalfe and Boggs' classic 1976 article in Communications of the ACM)

In today's episode we'll explore the growing problem of space debris and how the new company Privateer Space is working to protect the future of space for the future of us. Joining us is Dr. Moriba Jah, the Chief Scientist of Privateer. Moriba is a co-founder of Privateer along with the company's CEO Alex Fielding and the company's president, Steve Wozniak. Moriba is a renowned astrodynamicist, a space environmentalist, and an associate professor and the University of Texas at Austin. As Privateer's Chief Scientist, he is the visionary behind Privateer's innovative technology that will help keep the space environment safe as more and more satellites are put in orbit and human spaceflights expand. ——————————————————————

Dimitri Yatsenko, CEO of DataJoint, already had an M.S. in Computational Engineering and Science (University of Utah) when he got his Ph.D. in Neuroscience (Baylor College of Medicine). This put him in a unique position to solve a significant challenge in neuroscience research.  The data neuroscientists have collected on the brain exceeds the technology, resources, and frameworks available to analyze and model it. To maximize the data's potential, they need to collaborate across departments and teams. With DataJoint, Dimitri delivers a solution to bridge social and technical gaps in the research process.  Key Takeaways  Obama's 2013 Brain Initiative has directed a lot of research into mapping the brain, but neuroscientists now have to apply and model that data to understand the live brain and how it functions.  Neuroscientists have historically worked alone, but the tsunami of data now available and the complexities of the problems being solved require they collaborate across departments and teams.  Without a comprehensive framework for data analysis, collaboration, and communication, much of the software engineering and systems engineering falls on graduate students.  When a graduate student leaves a project, continuity is lost because someone else has to come in and understand what they were doing and may not be looking at the same problem or taking the same approach.  Neuroscience can help solve several severe medical problems, including Alzheimer's and Parkinson's disease, depression, and traumatic brain injury. However, the research is hindered by a lack of continuity in modeling, collaboration, and data analysis.  The process of repeatedly engineering frameworks for data analysis drives up research costs through inefficiency.  Understanding the brain requires a systematic approach to data and modeling.    A commercial company can provide researchers with the tools and technology they need to execute things more efficiently and effectively. They can provide computation as a service, rather than having each lab reproduce the same computation with graduate students.  A commercial approach can provide continuous fluidity in one unified framework.  DataJoint started as an open-source project and evolved as different neuroscience teams adopted it in their labs.  Using DataJoint for collaborative, multi-institutional projects, researchers can organize a computational data pipeline that spans multiple labs.  DataJoint is cloud-compatible, containerized, and web-accessible so that it can be deployed across multiple labs simultaneously. In this way, it bridges both the social and technical gaps currently limiting neuroscience research.  Quote of the show:  20:16 “The only way we can solve the brain is … to bring the molecular people, the computational people, [and] the electrophysiology people into … solving the same problem.”    Links:  LinkedIn: https://www.linkedin.com/in/dimitriyatsenko/  Company Website: https://www.datajoint.com/    Ways to Tune In:  Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption  Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755  Google Play - https://podcasts.google.com/feed/aHR0cHM6Ly93d3cub21ueWNvbnRlbnQuY29tL2QvcGxheWxpc3QvODE5NjRmY2EtYTQ5OC00NTAyLThjZjktYWI3YzAwMmRiZTM2LzNiZTZiNzJhLWEzODItNDhhNS04MDc5LWFmYTAwMTI2M2FiNi9kZDYzMGE4Mi04ZGI4LTQyMGUtOGNmYi1hZmEwMDEyNjNhZDkvcG9kY2FzdC5yc3M= Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlD  Stitcher - https://www.stitcher.com/show/disruption-interruption  YouTube - https://youtu.be/pbP9a8YYHJ4 See omnystudio.com/listener for privacy information.

We are living in the digital age. Almost all our activities are digital. Many of us don't even remember the last time we used a pen and paper. This episode is about the benefits and the challenges that people face in this digital age and how we can live in this digital world without facing any problems. About Moshe Y Vardi Moshe Y. Vardi is a University Professor, the George Distinguished Service Professor in Computational Engineering, and Director of the Ken Kennedy Institute for Information Technology at Rice University. He is the author and co-author of over 600 papers, as well as two books: Reasoning about Knowledge and Finite Model Theory and Its Applications. --- Support this podcast: https://anchor.fm/tbcy/support

In this Stories in AI podcast, Dr. Andy Terrel, VP of Data and Algorithms at Xometry, gave me valuable perspectives on how corporations, product managers, and data scientists should view artificial intelligence. If you are looking to advance your career as a data scientist or just in AI, this is a must listen episode. Andy's Bio: Dr. Andy R. Terrel is the VP, Data, and Algorithms of Xometry, Inc. where he is bringing his experience building smart scalable data systems to the manufacturing industry. You will also find him leading the infrastructure committee of the NumFOCUS foundation. As a passionate advocate for open source scientific codes Andy has been involved in the wider scientific Python community since 2006, contributing to numerous projects in the scientific stack. Dr. Andy R. Terrel was previously a Research Associate Scientist for the Computational Hydraulics Group at the Institute for Computational Engineering and Science which is at the University of Texas at Austin and High-Performance Computing researcher at the Texas Advanced Computing Center. Andy's research included utilizing supercomputers with Python and studying methods for speeding up computational fluid dynamics. He graduated from the University of Chicago with a Ph.D. in Computer Science in 2010 and has been programming in Python for the last decade. Andy has contributed to numerous open-source projects notably the FEniCS Project and Sympy. Reach Andy at:  http://andy.terrel.us https://www.linkedin.com/in/aterrel/ https://twitter.com/aterrel A note about our sponsors: Experian is the world's leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world's leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world. Learn more at https://Experian.com.

Moriba Jah is an Associate Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin where he is the holder of the Mrs. Pearlie Dashiell Henderson Centennial Fellowship in Engineering. He's the director for Computational Astronautical Sciences and Technologies (CAST), a group within the Oden Institute for Computational Engineering and Sciences as well as the Lead for the Space Security and Safety Program at the Robert Strauss Center for International Security and Law. Moriba came to UT Austin by way of the Air Force Research Laboratory and NASA's Jet Propulsion Laboratory prior to that, where he was a Spacecraft Navigator on a handful of Mars missions. Moriba is a Fellow of multiple organizations: TED, American Institute of Aeronautics and Astronautics (AIAA), American Astronautical Society (AAS), International Association for the Advancement of Space Safety (IAASS), Royal Astronomical Society (RAS), and the Air Force Research Laboratory (AFRL). He has served on the US delegation to the United Nations Committee On Peaceful Uses of Outer Space (UN-COPUOS), is an elected Academician of the International Academy of Astronautics (IAA), and has testified to congress on his work as related to Space Situational Awareness and Space Traffic Management. He's an Associate Editor of the Elsevier Advances in Space Research journal, and serves on multiple committees: IAA Space Debris, AIAA Astrodynamics, IAF Astrodynamics, and IAF Space Security. Connect with Dr. Jah: Here: https://www.flow.page/moriba or here https://www.eyesonthesky.org/ If you enjoyed the podcast, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds, and it really makes a difference in helping us get to a new listener. For show notes and past guests, please visit https://www.christopherategeka.com/gratitribe Become a patron and support our creative work: https://www.patreon.com/chrisategeka Interested in sponsoring the podcast? Please send us some love here https://www.christopherategeka.com/contact Follow us on social media: Twitter: https://twitter.com/chrisategeka Instagram:https://www.instagram.com/chrisategeka PODCAST Links / Handles / Contact info: Podcast Link: www.christopherategeka.com/gratitribe Instagram: @Gratitribe Twitter: @Gratitribe Facebook Page: Gratitribe Podcast Email / Contact info: Gratitribe@gmail.com Hashtags: #gratitribe #gratitude #podcast #podcastsofinstagram #chrisategeka --- Support this podcast: https://anchor.fm/christopher-ategeka/support

Moshe Y. Vardi, a George Distinguished Service Professor in Computational Engineering and Director of the Ken Kennedy Institute for Information Technology at Rice University based in the United States, participates in Risk Roundup to discuss the Lessons from COVID-19 Pandemic: Efficiency Versus Resilience. Lessons From COVID-19: Efficiency Versus Resilience The COVID-19 outbreak reminds us of […] The post COVID-19 Pandemic: Efficiency Versus Resilience appeared first on Risk Group.

Jan erzählt von seinem Studium und seinem Weg an die Technische Universität Darmstadt.

Chris Bolin serves as the VP of Engineering for Formidable Denver and is an accomplished speaker and instructor. Prior to joining Formidable, Chris was the first engineer at Jumpshell, the lead data scientist at Autotegrity, and an engineer at National Instruments. Chris serves as technical lead on high-profile projects while also directing the Formidable Denver office. Chris holds a Master’s in Computational Engineering from MIT, and loves teaching, mentoring, and presenting. He has taught at MIT, University of Denver, Girl Develop It, and Startup Institute, tutored high school students in mathematics and environmental studies, and is the Founding Editor of The Disconnect. In addition, his projects have been featured in Vice, Lifehacker, the CBC, CJR, Le Monde, and The Next Web. We discussed how to build a good engineering culture and how to keep the joy of software engineering.

In this episode, host Andrew Geary highlights Sergey Fomel's Distinguished Lecturer tour, "Automating seismic data analysis and interpretation." Sergey and Andrew dive deep into automatic picking, why humans will always be essential to data analysis and interpretation, the value of this lecture for someone not familiar with programming, and one tip to help anyone succeed as a geophysicist. Note: Sergey's tour is currently canceled due to COVID-19 coronavirus concerns. In its place, Sergey is offering two, free virtual lectures. Please learn more and register at https://seg.org/podcast/Post/8979. BIOGRAPHY Sergey Fomel is Wallace E. Pratt Professor of Geophysics at The University of Texas at Austin and the director of the Texas Consortium for Computational Seismology (TCCS). At UT Austin, he is affiliated with the Bureau of Economic Geology, the Department of Geological Sciences, and the Oden Institute for Computational Engineering and Sciences. Sergey received a Ph.D. in geophysics from Stanford University in 2001. For his contributions to exploration geophysics, he has been recognized with a number of professional awards, including SEG’s J. Clarence Karcher Award in 2001 and the EAGE Conrad Schlumberger Award in 2011. He has served SEG in different roles, most recently as the Vice President, Publications. Sergey also serves as the project manager for "Madagascar," an open-source software project for geophysical data analysis. CREDITS Original music by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary. Thank you to the SEG podcast team: Jennifer Crockett, Ally McGinnis, and Mick Swiney.

In this episode I speak with Dr Moriba Jah, an Associate Professor and the University of Texas at Austin in the Department of Aerospace Engineering and Engineering Mechanics.Moriba Jah is the director for Computational Astronautical Sciences and Technologies (CAST), a group within the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin. He is also the Lead for the Space Security and Safety Program at the Robert Strauss Center for International Security and Law. Moriba came to UT Austin by way of the Air Force Research Laboratory and NASA's Jet Propulsion Laboratory prior to that, where he was a Spacecraft Navigator on a handful of Mars missions.Moriba is a Fellow of multiple organizations: TED, American Institute of Aeronautics and Astronautics (AIAA), American Astronautical Society (AAS), International Association for the Advancement of Space Safety (IAASS), Royal Astronomical Society (RAS), and the Air Force Research Laboratory (AFRL). He has served on the US delegation to the United Nations Committee On Peaceful Uses of Outer Space (UN-COPUOS), is an elected Academician of the International Academy of Astronautics (IAA), and has testified to congress on his work as related to Space Situational Awareness and Space Traffic Management. He's an Associate Editor of the Elsevier Advances in Space Research journal, and serves on multiple committees: IAA Space Debris, AIAA Astrodynamics, IAF Astrodynamics, and IAF Space Security.While in the US last year for the International Astronautical Congress, Moriba and I got talking at a dodgy bar in DC. Some drinks later, we decided to get together over Skype and record this episode. We chat about tackling fear in the face of adversity, Traditional Ecological Knowledge, and what it all has to do with Space sustainability.Music (as requested by Moriba): 'The Voice' by Celtic Woman Support this show http://supporter.acast.com/space-junk-podcast. Support this show http://supporter.acast.com/space-junk-podcast. See acast.com/privacy for privacy and opt-out information.

Kiret Dhindsa, PhDPostdoctoral Fellow, Research and High Performance Computing, Department of Surgery, McMaster UniversityPostgraduate Affiliate, Vector Institute for Artificial IntelligenceKiret's research lies at the intersection of AI and healthcare with a primary focus on neuroscience and neurotechnology, as well as active research areas in medical imaging and bioinformatics. Coming from a multidisciplinary background combining statistics, neuroscience, and biomedical engineering, Kiret is both a data scientist and an experimental scientist. Kiret completed a B. Sc. with a double major in Statistics and Psychology at York University, and a PhD in Computational Engineering and Science on brain-computer interfacing at McMaster University

Christian Thomsen is a Software Engineer in Physics & Optimization at nTopology which captures the entire engineering process in one unified system. https://ntopology.com LinkedIn ► https://linkedin.com/in/christian-thomsen-2b9757aa ******* This interview is in partnership with COFES Institute, the world’s largest community fostering the convergence of advanced enabling engineering and design technologies. https://cofesinstitute.org ******* Simulation is rebirthing the public intellectual by hosting the greatest multidisciplinary minds of our time. Build the future. Architect the frameworks and resource flows to maximize human potential. http://simulationseries.com ******* SUBSCRIBE TO SIMULATION ► YOUTUBE: http://bit.ly/SimYoTu ITUNES: http://bit.ly/SimulationiTunes FACEBOOK: http://bit.ly/SimulationFB TWITTER: http://bit.ly/SimulationTwitter ******* SPOTIFY: http://bit.ly/SimuSeries SOUNDCLOUD: http://bit.ly/SimulationSC INSTAGRAM: http://bit.ly/SimulationIG LINKEDIN: http://bit.ly/SimulationLinkedIn PATREON: http://bit.ly/SimulationPatreon CRYPTO: http://bit.ly/SimCrypto ******* NUANCE-DRIVEN DISCOURSE ► http://bit.ly/SimulationTG WATCH ALLEN'S TEDx TALK ► http://bit.ly/AllenTEDx FOLLOW ALLEN ► INSTAGRAM: http://bit.ly/AllenIG TWITTER: http://bit.ly/AllenT ******* LIST OF THOUGHT-PROVOKING QUESTIONS ► http://simulationseries.com/the-list GET IN TOUCH ► simulationseries@gmail.com

Provable Security: Conversations on Next Gen Security. We published a podcast (https://aws.amazon.com/podcasts/aws-podcast/#266) on provable security (https://aws.amazon.com/security/provable-security/) last fall, and, due to high customer interest, we decided to bring you a regular peek into this AWS initiative. This series will cover how the traditionally academic field of automated reasoning is being applied at AWS at scale to help provide higher assurances for our customers, regulators, and the broader cloud industry. We’ll talk to individuals whose minds helped shape the history of automated reasoning, as well as learn from engineers and scientists who are applying automated reasoning to help solve pressing security and privacy challenges in the cloud. In our first interview, Byron Cook, Director of the AWS Automated Reasoning Group, sits down with Moshe Vardi, Karen Ostrum George Distinguished Service Professor in Computational Engineering and Director of the Ken Kennedy Institute for Information Technology. Moshe describes the history of logic, automated reasoning, formal verification and his legendary moustache. Learn more at the AWS Provable Security webpage (https://aws.amazon.com/security/provable-security/). Automated reasoning public figures: George Boole https://en.wikipedia.org/wiki/George_Boole Tony Hoare https://en.wikipedia.org/wiki/Tony_Hoare Robert W. Floyd https://en.wikipedia.org/wiki/Robert_W._Floyd John McCarthy https://en.wikipedia.org/wiki/John_McCarthy_(computer_scientist) Amir Pnueli https://en.wikipedia.org/wiki/Amir_Pnueli Gottlob Frege https://en.wikipedia.org/wiki/Gottlob_Frege Arthur Prior https://en.wikipedia.org/wiki/Arthur_Prior John Harrison https://www.cl.cam.ac.uk/~jrh13/ Automated techniques and algorithms: First-order logic https://en.wikipedia.org/wiki/First-order_logic Temporal logic https://en.wikipedia.org/wiki/Temporal_logic An Automata-Theoretic Approach to Automatic Program Verification https://orbi.uliege.be/bitstream/2268/116609/1/lics86.pdf Boolean satisfiability problem https://en.wikipedia.org/wiki/Boolean_satisfiability_problem Davis-Putnam algorithm https://en.wikipedia.org/wiki/Davis–Putnam_algorithm SAT Competition https://www.satcompetition.org/

In season four episode three of Talking Machines we chat about Neil’s recent thinking (definitely not work) on the core differences between natural intelligence and machine intelligence, he recently wrote blog post on the subject and in the fall of 2017 he gave a TedX talk about the topic. We also take a listener question about what maths you should take to get into building ML tools. Our guests this week are Moshe Vardi, Karen Ostrum George Distinguished Service Professor in Computational Engineering and Director of the Ken Kennedy Institute for Information Technology at Rice University and Margaret Levi Director of the Center for Advanced Study in the Behavioral Sciences(CASBS) at Stanford and Professor of Political Science, Stanford University, and Jere L. Bacharach Professor Emerita of International Studies in the Department of Political Science at the University of Washington. They co-organized a symposium put on by the American Academy of Arts and Sciences and the Royal Society about the future of work. We got a chance to speak to both of them about their work and the event.

Interview clip with George Biros, Institute for Computational Engineering and Sciences, University of Texas at Austin

Interview with George Biros, Institute for Computational Engineering and Sciences, University of Texas at Austin

Interview with Keshav Pingali, professor of computer science, Institute for Computational Engineering and Sciences, University of Texas at Austin

The research of the Center for Subsurface Modeling (CSM) addresses the growing use of computers to simulate physical events and the use of these simulations to study physical phenomena and to perform engineering analysis and design. Our team investigates high-performance parallel processing as a tool to model the behavior of fluids in permeable geologic formations such as petroleum and natural gas reservoirs, groundwater aquifers and aquitards, and in shallow bodies of water such as bays and estuaries. The accurate and efficient simulation of subsurface phenomena requires a blend of physical and geomechanical modeling of subsurface processes and careful numerical implementation. Compounding these issues is a general lack of high quality data from model calibration and verification. CSM researchers collaborate with outside experts to find suitably accurate representations of physical systems, including such processes as fluid phase behavior, particle transport and dispersion, capillary pressure effects, flow in highly heterogeneous media (possibly fractured and vuggy), geomechanical response and subsidence and well production. These and other processes must be simulated accurately so as to avoid nonphysical numerical artifacts that can cloud risk assessment and the intervention and optimization of management objectives. The Center is part of the Institute for Computational Engineering and Sciences (ICES). CSM comprises a close-knit team of faculty and research scientists with expertise in applied mathematics, engineering, and computer, physical, chemical and geological sciences. This interdisciplinary approach to simulation permits a more effective integration of advanced mathematical and numerical techniques with engineering applications.

Bangladesh scholar Nazmus Saquib, a University of Utah graduate student in Computational Engineering and Science, discusses international scientific teamwork and the movie "The Day the Sky Expoded."

Bangladesh scholar Nazmus Saquib, a University of Utah graduate student in Computational Engineering and Science, discusses international scientific teamwork and the movie "The Day the Sky Expoded."

Bangladesh scholar Nazmus Saquib, a University of Utah graduate student in Computational Engineering and Science, discusses international scientific teamwork and the movie "The Day the Sky Expoded."