Podcasts about computer engineering department

This Spring, UVA welcomed the Story Collider team back to Charlottesville for the third year running. During a special recording at Carr's Hill, four UVA STEM leaders told personal stories about their lives, their careers, and how personal stories and scientific inquiry intertwine. We hope you'll head over to Story Collider to hear from Scott Acton, Chair of UVA's Chair of the Electrical and Computer Engineering Department, and Stephanie Rowley, Dean of the School of Education and Human Development; and Hoos in STEM is very excited to share the other two stories from some the event. Here's Bill Petri, the Chief of the Division of Infectious Diseases and International Health at UVA, and Kathryn Thornton a retired astronaut and Professor Emerita at UVA in the School of Engineering and Applied Science. The Story Collider's mission is to reveal the vibrant role that science plays in all of our lives through the art of personal storytelling. Check out all the Story Collider episodes: https://www.storycollider.org/podcast

Salman Avestimehr is a Dean's Professor, the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning (Trusted AI), and director of the Information Theory and Machine Learning (vITAL) research lab. He is also the CEO and co-founder of FedML. MLOps podcast #230 with Salman Avestimehr, CEO & Founder of FedML, FedML Nexus AI: Your Generative AI Platform at Scale. A big thank you to FEDML for sponsoring this episode! // Abstract FedML is your generative AI platform at scale to enable developers and enterprises to build and commercialize their own generative AI applications easily, scalably, and economically. Its flagship product, FedML Nexus AI, provides unique features in enterprise AI platforms, model deployment, model serving, AI agent APIs, launching training/Inference jobs on serverless/decentralized GPU cloud, experimental tracking for distributed training, federated learning, security, and privacy. // Bio Salman is a professor, the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning (Trusted AI), and the director of the Information Theory and Machine Learning (vITAL) research lab at the Electrical and Computer Engineering Department and Computer Science Department of the University of Southern California. Salman is also the co-founder and CEO of FedML. He received his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008. Salman does research in the areas of information theory, decentralized and federated machine learning, secure and privacy-preserving learning, and computing. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links https://www.avestimehr.com/ https://fedml.ai/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Salman on LinkedIn: https://www.linkedin.com/company/fedml/ Timestamps: [00:00] AI Quality: First in-person conference on June 25 [01:28] Salman's preferred coffee [01:49] Takeaways [03:33] Please like, share, leave a review, and subscribe to our MLOps channels! [03:53] Challenges that inspired Salman's work [06:20] Controlled ownership [08:11] Dealing with data leakage and privacy problems [10:45] In-house ML Model Deployment [13:36] FEDML: Comprehensive Model Deployment [17:27] Integrating FEDML with Kubernetes [19:46] AI Evaluation Trends [24:37] Enhancing NLP with ML [25:48] FEDML: Canary, A/B, Confidence [29:36] FEDML customers [33:21] On-premise platform for secure data management [37:16] Future prediction: data's crucial for better applications [38:18] Maturity in evaluating and improving steps [41:38] Focus on ownership [45:12] Benefits of smaller models for specific use cases [48:57] Verify sensitive tasks, trust quick, important mobile content creation [51:50] Wrap up

In Episode 55, we are thrilled to feature Magdalini Eirinaki, a renowned professor in the Computer Engineering Department at San Jose State University. With expertise in machine learning, data mining, and deep learning applications, Magdalini shares valuable insights on lifelong learning, the reality of being a professor, the importance of networking and mentorship, and the enduring value of fundamentals in the ever-evolving world of technology. Join us as we delve into Magdalini's remarkable career journey and gain invaluable wisdom to propel our own paths in the world of computer science and academia. What You'll Learn: How to become a lifelong learner. The reality of being a professor. Why networking and mentorship are so important in academia---and every field in the world. Contact Us: Youtube Instagram --- Support this podcast: https://podcasters.spotify.com/pod/show/aarna-sahu/support

Nassir Sabah is a neuroscientist and Professor, Electrical and Computer Engineering Department at American University of Beirut, Lebanon. Professor Sabah has more thatn 35 years of teaching experience in nuroengineering, biomedical engineering, electronics and electronic circuits. He tells the scientific findings as well as his spiritual findings about God, the dinvine source in hios writings.  This is an amzing conversation as we discuss the brain,the cosmic web, the Quaran and what it has revealed. We talk of the Bible and all religous faiths but mostley about connecting to the creator and the love energy that is aviailabe to us all.  Dedication of his book: "To those who seek liberation from the cage of wordly concerns to the heights of serenity and self-fullfillment." The book is titled "Spriituality Rekindled" By Nassir H. Sabah

Jerry Hudgins, Professor and Chair of the Electrical & Computer Engineering Department at the University of Nebraska-Lincoln, joins the podcast to discuss small modular nuclear reactors.  The Nebraska Public Power District recently received approval to study potential sites across the state for these reactors. Jerry and Gus discuss what small modular nuclear reactors are, how they work, and how they can complement the usage of existing renewable energy sources.TwitterGus Hurwitz @gushurwitzLinksNPPD Beginning Siting Study for Small Modular Nuclear Reactors

Given the way things have gone the past year, fuel independence sounds pretty good right about now, doesn't it? That's just one of several major implications behind a recent nuclear fusion breakthrough at the Lawrence Livermore National Laboratory in California. But for all the promise this discovery brings, there could be some pitfalls, too, according to Dr. Christopher Peters, a teaching professor in the Electrical and Computer Engineering Department at Drexel University. And for anyone out there who thinks we'll be able to start implementing this technology soon, you might want to temper your expectations. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

There's rarely an expected path in science. This week's episode, produced in partnership with The Carl R. Woese Institute for Genomic Biology, features two stories from scientists of their cutting-edge research institute at the University of Illinois Urbana-Champaign who took unexpected journeys to get where they are today. Part 1: After a troubling personal experience with the health care system, Heng Ji decides to try to fix it. Part 2: When Brendan Harley is diagnosed with leukaemia in high school, it changes everything. Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department of University of Illinois at Urbana-Champaign. She is also an Amazon Scholar. She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge Base Population and Knowledge-driven Generation. She was selected as "Young Scientist" and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. She was named as part of Women Leaders of Conversational AI (Class of 2023) by Project Voice. The awards she received include "AI's 10 to Watch" Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, PACLIC2012 Best paper runner-up, "Best of ICDM2013" paper award, "Best of SDM2013" paper award, ACL2018 Best Demo paper nomination, ACL2020 Best Demo Paper Award, NAACL2021 Best Demo Paper Award, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA DEFT Tinker Bell team and DARPA KAIROS RESIN team. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She was the associate editor for IEEE/ACM Transaction on Audio, Speech, and Language Processing, and served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018 and AACL-IJCNLP2022. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2023. Her research has been widely supported by the U.S. government agencies (DARPA, ARL, IARPA, NSF, AFRL, DHS) and industry (Amazon, Google, Facebook, Bosch, IBM, Disney). Heng Ji is supported by NSF AI Institute on Molecule Synthesis, and collaborating with Prof. Marty Burke at Chemistry Department at UIUC and Prof. Kyunghyun Cho at New York University and Genetech on using AI for drug discovery. Dr. Brendan Harley is a Professor of Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign. His research group develops biomaterial that can be implanted in the body to regenerate musculoskeletal tissues or that can be used outside the body as tissue models to study biological events linked to endometrium, brain cancer, and stem cell behavior. He's a distance runner who dreams of (eventually) running ultramarathons. Follow him @Prof_Harley and www.harleylab.org. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The mission of the Cybersecurity Assurance and Policy (CAP) Center at Morgan State University is to provide the defense and intelligence community with the knowledge, methodology, solutions, and highly skilled cybersecurity professionals to mitigate penetration and manipulation of our nation's cyber-physical infrastructure. Internet of Things (IoT) devices permeate all areas of life and work, with unprecedented economic effects. Critical infrastructures in transportation, smart grid, manufacturing, health care, and many others depend on embedded systems for distributed control, tracking, and data collection. While protecting these systems from hacking, intrusion, and physical tampering is paramount, current solutions rely on unsustainable patchwork solutions. Transformative solutions are required to protect systems where the ubiquity of connectivity and heterogeneity of IoT devices exacerbate the attack surface. Our research focuses on the convergence of IoT, 5G, and artificial intelligence in the context of the Zero Trust networks. We will present our security-in-depth approach to provide secure and resilient operation. About the speaker: Dr. Kevin T. Kornegay received the B.S. degree in electrical engineering from Pratt Institute, Brooklyn, NY, in 1985 and the M.S. and Ph.D. degrees in electrical engineering from the University of California at Berkeley in 1990 and 1992, respectively. He is currently the Eugene Deloatch IoT Security Endowed Professor and Director of the Cybersecurity Assurance and Policy (CAP) Center for Academic Excellence in the Electrical and Computer Engineering Department at Morgan State University in Baltimore, MD. His research interests include hardware assurance, reverse engineering, secure embedded systems, side-­‐channel analysis, and differential fault analysis. Dr. Kornegay serves or has served on the technical program committees of several international conferences, including the IEEE Symposium on Hardware Oriented Security and Trust (HOST), USENIX Security, the IEEE Physical Assurance and Inspection of Electronics (PAINE), and the ACM Great Lakes Symposium on VLSI (GLSVLSI). He is the recipient of numerous awards, including He is the recipient of multiple awards, including the NSF CAREER Award, IBM Faculty Partnership Award, National Semiconductor Faculty Development Award, and the General Motors Faculty Fellowship Award. He is currently a senior member of the IEEE, and Eta Kappa Nu, Sigma Xi, and Tau Beta Pi engineering honor societies.

Dr.Yücel Yemez is a professor in the Computer Engineering Department at Koç University. His main research areas are Computer Vision, Artificial Intelligence, Computer Graphics, and Machine Learning. In this episode, we talked about the relations of his research areas with industry, and the importance & applications of his research areas in the real world.

Full and part-time faculty share the distinct experience of adjunct faculty in the fifth semester in which higher ed is impacted by the pandemic. This semester just seems different, especially for our adjunct colleagues. A sequel episode about this latest COVID wave — full and part-time lecturers share their experiences, expertise, and a few aspirations toward labor equity. With SDSU faculty members Ken Arnold, Tishna Asim, and Katie Turner. Hosted by Dr. D.J. Hopkins. Note for listeners: On our campus, “lecturer” is the term used for full- or part-time adjunct instructors. When our guests say “lecturer,” they're referring to adjunct faculty. Bios Tishna Asim is a lecturer in the Department of English and Comparative Literature at SDSU. A former trial attorney, Asim teaches law and crime texts, detective fiction, Gothic and horror, and children's literature. Dr. Katie Turner is a lecturer and the Undergraduate Advisor in Theatre at SDSU. https://docs.google.com/document/d/1yfOkY6TPr9BmAilNy2W1MUws6kOokyhC-X-MJwRqMG8/edit?usp=sharing Ken Arnold is a lecturer in the Electrical and Computer Engineering Department at SDSU, an engineering consultant, author, entrepreneur, and founder & head of HTE consulting services. www.linkedin.com/in/kenarnoldentrepreneur Dr. D.J. Hopkins https://ttf.sdsu.edu/faculty/theatre_faculty_profiles/d.j-hopkins

In this episode, we speak with Daril Brown II, a PhD Candidate in the Electrical and Computer Engineering Department and the Psychology Department at the University of California, San Diego. We first speak about the undergraduate experiences at Howard University that kicked off his engineering career, and we also discuss his current research, which explores songbirds a promising animal model for neuroprosthetic research. Importantly, we touch upon the challenges of dealing with loss during grad school, healthy coping mechanisms following traumatic events, and the value of a strong support network. TW/CW: Death and bereavement. Episode transcript available here: https://www.herroyalscience.com/post/27-steven-universe

Our guest in this week's episode is Phil Koopman, an associate professor at Carnegie Mellon University's Electrical and Computer Engineering Department and an expert on autonomous vehicle technologies and safety. Koopman discusses the current state of autonomous technologies and how soon we might expect cars and trucks that can operate without a driver  on our nation's roads. He shares the limitations of the technologies and the important challenges that remain to be solved to fully automate vehicles. Things don't look to improve any time soon at our nation's ports. Ships continue to back up and products remain in holding patterns along their journeys to consumers. It looks like more of the same, as the expectations are that supply chain bottlenecks and delays will extend well into this year. Is there any end in sight?The air freight market has tried to absorb some of the capacity constraints caused by ocean delays, but there are limitations as to how effective those measures can be. We discuss the current state of air freight and whether conditions may improve in coming months.DC Velocity's sister publication CSCMP's Supply Chain Quarterly  has  a new 11-episode limited podcast series called Top 10 Supply Chain Threats. Each week, a different threat to our supply chains is discussed, including capacity constraints, labor shortages, inflation and economics, weather-related issues, component and product shortages, digitalization, automation, and much more. Subscribe at your favorite podcast platform. Search "Top 10 Supply Chain Threats."Articles and resources mentioned in this episode:Carnegie Mellon University's Electrical and Computing Engineering DepartmentOcean freight logistics faces volatile start to 2022Truck production could be slowed by pandemic labor shortages, ACT warnsExpect continued volatility in air freight market, Flexport saysVisit DCVelocity.com for the latest news. Visit Supply Chain QuarterlyListen to Supply Chain Quarterly's Top 10 Supply Chain Threats podcastSend feedback about this podcast to podcast@dcvelocity.com.Podcast sponsored by: ApteanOther linksAbout DC VELOCITYSubscribe to DC VELOCITYSign up for our FREE newslettersAdvertise with DC VELOCITYTop 10 Supply Chain Management Podcasts

Joseph Costantine, Associate Professors in the Electrical and Computer Engineering Department at AUB, helps chart the future of wearable electromagnetic devices that measure various human body conditions like blood sugar or cancer. He explains how he embarked on this path that has led to his being chosen one of ten World Economic Forum global young scientists, who each contribute to the development of technologies that could improve humankind's wellbeing.

In this episode, guest Jose Unpingco sits down with TDS to discuss Data sensitivity and defects as well as defining a health data paradox. Dr. Jose Unpingco is currently the Senior Director for Data Science/Machine Learning at West Health Institute in La Jolla, a nonprofit medical research organization. Dr. Unpingco earned his Ph.D. in 1997 from the Electrical and Computer Engineering Department at the University of California, San Diego. Prior to joining West Health, Dr. Unpingco worked with the SSC Pacific High-Performance Computing Center as an on-site Director for the DoD High-Performance Computing Modernization Program (HPCMP) in the PETTT component of HPCMP where he helped develop large scale file transfer technology that is still used today, as well as encouraging the DoD to adopt open-source technology such as Python for scientific computing.In addition to his work at SSC Pacific, Dr. Unpingco has extensive industrial experience as a research engineer and technical director at Hughes Aircraft Co., Raytheon, Mission Research, and ATK, working on a wide range of systems -- underwater acoustics, adaptive antennas, radar detection, and imaging, and modern target tracking. Dr. Unpingco is the author of two internationally published books by Springer titled “Python for Signal Processing” and “Python for Probability, Statistics and Machine Learning.” In addition to his duties at West Health, Dr. Unpingco is an invited lecturer at UCSD, teaching undergraduate/graduate Data Science classes. He also sits on the industry advisory council for UCSD Extension's Data Science and Machine Learning program. Connect with Jose on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Listen to Episode 1: On this Episode: On our premier episode, Susan Ottmann talks to Dr. Barry Van Veen from UW-Madison's Electrical and Computer Engineering Department about machine learning and why it's important for engineers …

Have you ever wondered about doing undergraduate research? In this show, we learn about the benefit of doing undergraduate research from Prof. Cynthia Furse, a professor in the Electrical and Computer Engineering Department at the University of Utah. She has mentored more than 175 students throughout her career and in this show, she shares her thoughts about all aspects of undergraduate research.  Reference list:  Music by RuthAnn Schallert-Wygal (schallert.wygal@gmail.com) Artwork is created using Canva (canva.com)  References for listeners:  https://www.ece.utah.edu/undergraduate-research/ Contact list:  You can find more information about Prof. Cynthia Furse on https://utah.instructure.com/courses/558911 https://faculty.utah.edu/u0029376-CYNTHIA_M_FURSE/hm/index.hml If you have any comments about our show or have suggestions for a future topic, please contact us at info@thisacademiclife.org. You can also find us on webpage https://thisacademiclife.org and on facebook group “This Academic Life”.  Cast list: Prof. Cynthia Furse (guest) is a professor in the Electrical and Computer Engineering Department at the University of Utah.  Dr. Furse is a Fellow of the IEEE and the National Academy of Inventors. Prof. Kim Michelle Lewis (host) is a Professor of Physics and Associate Dean of Research, Graduate Programs, and Natural Sciences in the College of Arts and Sciences at Howard University. Prof. Pania Newel (host) is currently an Assistant Professor in the Mechanical Engineering Department at The University of Utah.  Prof. Lucy Zhang (host) is a Professor of Mechanical Engineering in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI) Support This Academic Life by contributing to their Tip Jar: https://tips.pinecast.com/jar/this-academic-life

Did you ever wonder how, exactly, a drone operates, or how disease is detected in farmers' fields?  Well, in this episode of Gradcast, we sit down with Nicholas Mitchell and learn about his masters work witch was focused on multispectral cameras that are attached to drones for agri-tech applications. Some of the things you can use this for is: detecting diseases in farm fields, giving locations for farmers to increase or decrease fertilizer and assessing nitrogen and chlorophyll content of plants!  To learn more about Nicholas' work, check out the Electrical and Computer Engineering Department, Western's CubeSat team Ukpik-1, or you can email him at nmitch6@uwo.ca! Recorded on June 8, 2021. Produced by Hira Nadeem. Theme song provided by https://freebeats.io/ Produced by White Hot.

Ilkay Oksuz is an Assistant Professor in Computer Engineering Department of Istanbul Technical University. He leads the Predictive Intelligence and Medical Imaging (PIMI) Lab. He talks about his research on machine learning for medical image quality assessment with a particular focus towards Cardiac Magnetic Resonance Imaging.

Dr. Christina Delimitrou is an assistant professor in the Electrical and Computer Engineering Department at Cornell University. Prof. Delimitrou has made significant contributions to improving resource efficiency of large-scale datacenters, QoS-aware scheduling and resource management techniques, performance debugging, and cloud security. She received the 2020 IEEE TCCA Young Architect Award for leading research in ML-driven management and design of cloud systems. She talks to us about datacenter architectures, cloud microservices, and applying machine learning techniques to optimizing and managing these systems.

Kwesi Rutledge is a PhD Student at the University of Michigan's Electrical and Computer Engineering Department. His research focuses on an area called Correct-By-Construction Control. Check out Kwesi’s website and find him on Twitter @FerventEcrivain Changing World by Ben Beiny www.premiumbeat.com

BYU engineers are sending a "spacecraft selfie cam" into space through a NASA partnership. Dr. David Long Professor, Electrical and Computer Engineering Department at BYU, joins Lee to explain the project. See omnystudio.com/listener for privacy information.

The future of mobility is electric, connected, autonomous and shared. With an estimated $100B invested in autonomous driving globally, autonomous driving technology was pitched as the biggest change in mobility since we stopped using horses. Yet in the midst of the COVID-19 global pandemic, where is this autonomous driving (AD) future we were promised? This episode features a radically open conversation between World Economic Forum’s Head of Automotive and Autonomous Mobility Michelle Avary, Professor and Director of Duke University's Humans and Autonomy Laboratory Mary Missy Cummings, and Bryn Balcombe Founder of Roborace, as they discuss how COVID has altered our path to the future of mobility. The discussion twists and turns as Michelle, Missy and Bryn talk through the differences between how AI learns how to drive and how a human learns how to drive, cybersecurity in automated driving, why aftermarket AD tech is a no-go, and what a world with universal basic mobility for everyone could look like. Professor Mary (Missy) Cummings received her B.S. in Mathematics from the US Naval Academy in 1988, her M.S. in Space Systems Engineering from the Naval Postgraduate School in 1994, and her Ph.D. in Systems Engineering from the University of Virginia in 2004. A naval officer and military pilot from 1988-1999, she was one of the U.S. Navy's first female fighter pilots. She is currently a Professor in the Duke University Electrical and Computer Engineering Department, and the Director of the Humans and Autonomy Laboratory. She is an American Institute of Aeronautics and Astronautics (AIAA) Fellow and a member of the Defense Innovation Board. Her research interests include human supervisory control, explainable artificial intelligence, human-autonomous system collaboration, human-robot interaction, human-systems engineering, and the ethical and social impact of technology.Michelle leads the automotive and autonomous platform at the World Economic Forum, dedicated to identifying and closing critical governance gaps through multi-stakeholder co-designing, piloting, and scaling solutions. As a leader in automotive technologies, Ms. Avary has been at the forefront of revolutionizing the mobility space and has devoted her career in establishing better infrastructures for automotive, autonomous, IoT, and connectivity platforms.Prior to joining the World Economic Forum, Ms. Avary was Vice President of Products and Strategy, Global Automotive Io(m)T at Aeris, led a team that developed and operated telematics services for Toyota Motor Sales, and scouted technologies for leading automotive supplier Harman.An endless pioneer in developing automotive technologies, Ms. Avary co-founded Drive Time Metrics, an automotive data monetization startup, is the founder and President of Women in Automotive Technology (WAT), an advocacy group, and an advisor to several start-ups including DeepScale and Sfara.Ms. Avary holds a Bachelor of Science in Economics from Pennsylvania State University, a Masters of Art in Economics from the University of San Francisco, and studied international law and economics at Chulalongkorn University in Bangkok. She is a certified yoga instructor and holds several automotive technology related patents.Bryn Balcombe is a Founder of the Autonomous Drivers Alliance (ADA) and the Chief Strategy Officer for Roborace, a motorsport competition for human and AI drivers, designed to accelerate the research and development of Vehicle Intelligence and human machine interfaces required for transportation of the future. His previous experience comes from Formula One where he architected and patented vehicle to infrastructure communication systems and developed the F1 Group’s first global media network. He has also consulted on technology strategy for organisations including the BBC and McCann Worldgroup and has a BEng in Mechanical Engineering & Vehicle Design. Balcombe is the chairman of ITU-T Focus Group on AI for Autonomous and Assisted Driving (FG-AI4AD).https://xprize.org/bloghttps://www.weforum.org/https://duke.edu/https://roborace.com/ See acast.com/privacy for privacy and opt-out information.

On this Seamless Podcast: TechCon Series episode, Darin and Mike talk with Dr. Todd Hylton, the Executive Director of the Contextual Robotics Institute and Professor of Practice in the Electrical and Computer Engineering Department at UC San Diego. We talk about autonomous vehicle systems, startups working in the field of novel computing systems, and their application to autonomous vehicle and robotic systems. We speak about his experience as Vice President of Strategy and Research at Brain Corporation and his time as Program Manager at DARPA where he managed a number of projects including the Nano Air Vehicle program, the SyNAPSE program, and the Physical Intelligence program. Dr. Hylton is a Ph.D. in Applied Physics from Stanford University and studied Physics at M.I.T.

Giuseppe Loianno, Assistant Professor in the Electrical and Computer Engineering Department as well as the Mechanical and Aerospace Engineering Department, Tandon School of Engineering, New York University, discusses his robotics lab's work.   Loianno is a passionate professor with a deep interest in many types of applied engineering. Loianno runs the Agile Robotics and Perception Lab (ARPL), a lab that is heavily involved in fundamental and applied research as it pertains to robotics autonomy. Their work is primarily focused on the creation of agile autonomous machines that can navigate independently using nothing more than onboard sensors in unstructured, and dynamically altering environments, without GPS or motion capture, etc. The researchers seek to refine and develop further, active machines that can collaborate with humans and with each other, and perform at an optimum level in unknown environments.   Loianno discusses eye-tracking glasses and the control of drones with the eye. He explains the benefits of eye tracking, and how it can make drone use easier and smoother. He states that this technology is non-invasive and exceptionally easy to use. While this technology is early-stage, Loianno is hopeful that new computer vision algorithms will help further their development. As he explains, gesture and voice interaction can also be utilized to better control the drones and improve robotic development.    The applied engineering expert talks about some of their current trials and the new data they are gathering to further technological development. He envisions a complete framework that will incorporate multiple robots for control by a single user, then multiple users. Ultimately, these machines will be able to improve human work, in our environment and even in space, performing advance work that will inform humans about unknown environments, safety issues, and so much more.    Loianno discusses how line of sight control can be switched to camera control when drones are out of range. And he answers specific questions regarding the complexities of line of sight issues. Loianno discusses the necessary training that users will need to control the technology in various environments. As he states, one of the greatest attributes of this tech is the interaction with humans… in that, the robotic drones can perform analyses and relay the information in real time to the human partner, for various tasks.

Guest:   Dr. Muyinatu Bell  Engineering Professor - Johns Hopkins University Dr. Bell joined the faculty of the Electrical and Computer Engineering Department with a joint appointment in the Department of Biomedical Engineering. She obtained a PhD in Biomedical Engineering from Duke University (2012) and a BS in Mechanical Engineering with a minor in Biomedical Engineering from the Massachusetts Institute of Technology (2006). In addition, she spent a year abroad as an academic visitor at the Institute of Cancer Research and Royal Marsden Hospital in the United Kingdom (2009-2010). Prior to joining the faculty, Dr. Bell was a postdoctoral fellow with the Engineering Research Center for Computer-Integrated Surgical Systems and Technology at Johns Hopkins University and served as President of the Homewood Postdoc Association. Dr. Bell has published over 40 scientific journal articles and conference papers, holds a patent for SLSC beamforming, and is the recipient of numerous awards, grants, and fellowships, including the prestigious NIH K99/R00 Pathway to Independence Award (2015), MIT Technology Review's 35 Innovators Under 35 Award (2016), the NSF CAREER Award (2018), and the NIH Trailblazer Award (2018).

Max Mellette is a postdoctoral researcher in the CSE department at UC San Diego working with George Porter on data center network architecture. He received his Ph.D. in Photonics from the Electrical and Computer Engineering Department at UC San Diego, where he worked on optical switching hardware advised by Joseph Ford. Before that, he received a Bachelor in Engineering Physics, also from UC San Diego. Max’s research focuses on using optical switching to improve the scalability, power consumption, and cost of data center networks. This involves working at the physical layer to design and build novel optical switches up through the transport layer to design high-performance network architectures compatible with those switches. Series: "UCTV Prime" [Science] [Show ID: 33423]

Max Mellette is a postdoctoral researcher in the CSE department at UC San Diego working with George Porter on data center network architecture. He received his Ph.D. in Photonics from the Electrical and Computer Engineering Department at UC San Diego, where he worked on optical switching hardware advised by Joseph Ford. Before that, he received a Bachelor in Engineering Physics, also from UC San Diego. Max’s research focuses on using optical switching to improve the scalability, power consumption, and cost of data center networks. This involves working at the physical layer to design and build novel optical switches up through the transport layer to design high-performance network architectures compatible with those switches. Series: "UCTV Prime" [Science] [Show ID: 33423]

Christo on the Cambridge Analytica privacy breach, the Computer Fraud & Abuse Act (CFAA), Aaron's Law, and the long term future of Facebook.

The proliferation of wearable devices, e.g., smartwatches and activity trackers, with embedded sensors has already shown its great potential on monitoring and inferring human daily activities. In this talk, I will present a serious security breach of wearable devices in the context of divulging secret information (i.e., key entries) while people accessing key-based security systems. Existing methods of obtaining such secret information relies on installations of dedicated hardware (e.g., video camera or fake keypad), or training with labeled data from body sensors, which restrict use cases in practical adversary scenarios. I will show that a wearable device can be exploited to discriminate mm-level distances and directions of the user's fine-grained hand movements, which enable attackers to reproduce the trajectories of the user's hand and further to recover the secret key entries. About the speaker: Xiaonan Guo received his Ph.D. degree in computer science and engineering from the Hong Kong University of Science and Technology under the guidance of Prof. Lionel M. Ni in 2013. Prior to joining IUPUI as an Assistant Professor at CIT department, he was a research associate working with Prof.Yingying Chen in the Electrical and Computer Engineering Department at Stevens Institute of Technology. His research interests include Cyber security and privacy, Security in mobile devices, intrusion detection using Wi-Fi for smart homes, Mobile healthcare and large data analysis on mobile devices. He received the Best Paper Award from ACM Conference on Information, Computer and Communications Security (ASIACCS) 2016​.

David Brumley President & DirectorCarnegie Mellon Univeristy’s CyLab   Checking the World's Software for Exploitable Bugs   Follow along with the slide show here. To Carnegie Mellon University’s David Brumley, hacking is “not something just bad guys do.” Brumley, a professor and director of the CyLab Institute at Carnegie Mellon University will discuss the important science behind hacking at Carnegie Science Center’s next Café Scientifique on Monday, Oct. 5, from 7 – 9 pm. Brumley and his team at Carnegie Mellon’s CyLab (cyber security lab) envision a world in which software is automatically checked for exploitable bugs, giving people the ability to trust their computers. The demand for cybersecurity professionals is growing, and Carnegie Mellon University is working to train students interested in the field. Brumley is an associate professor who focuses on software security, with appointments in the Electrical and Computer Engineering Department and the Computer Science Department. He is the faculty mentor for the CMU Hacking Team Plaid Parliament of Pwning (PPP), which is ranked internationally as one of the top teams in the world. Brumley’s honors include a 2010 NSF CAREER award, a 2010 United States Presidential Early Career Award for Scientists and Engineers (PECASE) from President Obama, the highest award in the U.S. for early career scientists, and a 2013 Sloan Foundation award. Brumley is the 2015 winner of the Carnegie Science Award in the University/Post-Secondary Educator category. He was lauded for recognizing the need for novel approaches to STEM education, leading him to spearhead picoCTF, a national cyber security game and contest targeted at exciting young minds about computer security. Brumley attended the University of Northern Colorado for his bachelor’s degree in mathematics, Stanford University for his master’s degree in computer science, and, most recently, CMU for his PhD in computer science. At Stanford, he worked as a computer security officer, solving thousands of computer security incidents in a four-year span.   Recorded on Monday, October 5, 2015 at Carnegie Science Center in Pittsburgh, PA.

The open nature of the wireless medium leaves wireless communications exposed to interference caused by the concurrent operation of co-located wireless devices over the same frequency bands. While unintentional signal interference is managed at the physical and mac layers using an array of techniques (advanced signal processing, channel coding and error correction, spread spectrum communications, multiple access protocols, etc.), in a hostile environment, wireless communications remain vulnerable to intentional interference attacks typically referred to as jamming. Jamming can take the form of an external attack launched by "foreign" devices that are unaware of the network secrets (e.g., cryptographic credentials) or its protocols. Such external attacks are relatively easy to neutralize through a combination of cryptography-based measures andspreading techniques. In contrast, when jamming attacks are launched from compromised nodes, they are much more sophisticated in nature.These attacks exploit knowledge of network secrets (e.g., cryptographic keys and pseudo-random spreading codes) and its protocol semantics to maximize their detrimental impact by selectively and adaptively targeting critical data transmissions. In this talk, wediscuss the feasibility and impact of selective jamming attacks in the presence of inside adversaries. The attacker's selectivity is considered at different granularities, namely on a per-channel basis and on a per-packet basis. We describe several mitigation methods thatdo not rely on the existence of shared secrets, but defeat selectivity via a combination of temporary packet hiding and uncoordinated frequency hopping. About the speaker: Loukas Lazos is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Arizona. He received his Ph.D. in Electrical Engineering from the University of Washington, Seattle, in 2006. He is a recipient of the NSF CAREER Award (2009), for his research in security of multi-channel wireless networks. His main research interests are in the areas of networking, security, and wireless communications, focusing on the identification, modeling, and mitigation of security vulnerabilities, visualization of network threats, and analysis of network performance.

Two topics today- the science of solar Dr Miller and the 1-2-3 of renewable fuels with Dr. Seames. Ruth Douglas Miller is an Associate Professor in the Electrical and Computer Engineering Department at Kansas State University, where she has taught since 1990. Her teaching interests are in electromagnetics, electronics and renewable energy, specifically solar and wind energy. She advised the KSU Solar Car Team from 2001-7 and was engineering advisor to the Kansas Solar House for the 2007 Solar Decathlon. Ruth is a member of the Kansas Wind Working Group and has given numerous presentations on wind energy in Kansas and outside the state. www.che.ksu.edu >>> Dr. Wayne Seames Professor and Director of the Environmental Engineering Graduate Program. Research Interests include: Novel process technologies; renewable fuels and chemicals; advanced combustion technologies; and mitigation of the environmental impact of heavy metals >>> Email us your questions for the guests to onair@sustainable1000.com, Tweet us at @sustainable1000, IM on Gtalk @ vannShane or call-in your questions or comments to (347)996-3601. Sustainable 1000 Radio is part of the eco road trip to explore 1000 stories across 48 American states in 222 days. Stop by Sustainable1000.com for hundreds of other thought provoking videos or listen to more interviews here on our Blog Talk Radio station.

Human aspects of information security were identified at the early stages in the history of time shared computing. The recent surge in attacks that exploit security vulnerabilities involving human factors have also put them under the spotlight of various research fields including human-computer interaction, information security and cognitive science. The human centered vulnerabilities involve an interplay of a broad range of actors from Information Technology specialists (who might mis-configure the security hardware and software or enforce impractical security policies) to end users (who might have a poor understanding of good security practices or not know the possible impact of weak security).This talk will focus on human aspects of authentication mechanisms. I will present two methods that we have developed to reinforce the security of existing systems by improving their usability.Previous studies have repeatedly shown that users find it taxing to remember truly random passwords. Many users choose easy to guess --therefore not secure-- passwords, since they require the least effort to recall. Experienced users adopt "mnemonic phrases" to generate and easily recall more secure passwords. However, regularity in the human languages may render such passwords vulnerable against a brute force attack. In the first part of the talk, I will present a method that we developed to automatically generate mnemonic phrases which can yield secure passwords in an effort to increase the usability of text password authentication.Many computer users need to remember a multiplicity of usernames and passwords for different systems, and the users tend to reuse passwords across these systems which may have different security guarantees. In such cases remembering a different mnemonic phrase for each password does not scale and quickly becomes a challenging task. In the second part of the talk, I will present a scheme that helps the users remember a multiplicity of truly random passwords. The new scheme is applicable to an existing password authentication system without any modification, as it does not require any form of involvement from the service provider (e.g., bank, brokerage). Nor does it require the user to have any computing device at hand (not even a calculator). The scheme is such that changes to passwords do not necessitate a change in what the user remembers. Hence, passwords can be frequently changed without any additional burden on the memory of the user, thereby increasing the system's security. About the speaker: Umut Topkara is a PhD candidate at the Computer Science Department of Purdue University. His research interests lie at the confluence of Information Security, Natural Language Processing and Computer- Human Interaction, specifically their intersection in the field of Usable Security. More recently, he has also been involved in Grid Middle-ware Engineering research. His thesis advisor is Professor Mikhail J. Atallah. He got his B.Sc. and M.Sc. degrees from Computer Engineering Department of Bilkent University. He started his graduate studies at Purdue University in 2002. More information about Umut's research is available at http://www.cs.purdue.edu/homes/utopkara.

While considering all existing hazards for humans due to (a) natural disastrous events, (b) failures of human hazard attention or (c) intentional harmful behaviors of humans, we address the problem of building hazard aware spaces (HAS) to alert innocent people. We have researched and developed components of a prototype HAS system for detecting fire using wireless "smart" micro electro-mechanical systems (MEMS) sensors, such as, the MICA sensors, and spectral cameras, for instance, thermal infrared (IR), visible spectrum and multi-spectral cameras. Within this context, my presentation overviews technical challenges and prototype scientific solutions to (1) robotic sensor deployment, (2) localization of sensors and objects, (3) synchronization of sensors and cameras, (4) calibration of spectral cameras and sensors, (5) proactive camera control, (6) hazard detection, (7) human alert, (8) hazard confirmation, and (9) hazard understanding and containment. The work presented will also include theoretical and practical limitations that have to be understood when working with novel technologies. http://www.ncsa.uiuc.edu/people/pbajcsy/ About the speaker: Peter Bajcsy has earned his Ph.D. degree from the Electrical and Computer Engineering Department, University of Illinois at Urbana-Champaign, IL, 1997, M.S. degree from the Electrical Engineering Department, University of Pennsylvania, Philadelphia, PA, 1994 and Diploma Engineer degree from the Electrical Engineering Department, Slovak Technical University, Bratislava, Slovakia, 1987. He is currently with the Automated Learning Group at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign (UIUC), Illinois, working as a research scientist, and offering seminars and advising students as an adjunct assistant professor of CS and ECE Departments at UIUC. Dr. Bajcsy