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Conferences, Lectures, & Seminars
Events for June
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CA DREAMS - Technical Seminar Series
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Fri, Jun 06, 2025 @ 12:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: J. Joshua Yang, Professor, USC
Talk Title: Real-Time RF Signal Processing in Extreme Environments with Memristors
Series: CA DREAMS - Technical Seminar Series
Abstract: The von Neumann bottleneck significantly increases energy consumption and processing delays in modern computing systems, especially for data-intensive tasks such as real-time RF signal processing. Memristor-based in-memory computing addresses this challenge by performing computations directly within analog memory arrays. In this seminar, I will present a memristor-based analog system-on-chip (SoC) designed for real-time RF signal processing. This innovative SoC integrates real-time Discrete Fourier Transform (DFT) computation and neural network processing within a unified analog memristor framework. Furthermore, due to the inherent robustness of memristors in extreme environments, including radiation exposure and high-temperature conditions, this technology is highly suitable for harsh environment applications. Our analog SoC demonstrates substantial improvements in energy efficiency and throughput compared to traditional digital computing systems, making it a promising solution for next-generation RF signal processing applications under extreme conditions.
Biography: J. Joshua Yang is the Arthur B. Freeman Chair Professor in the Department of Electrical and Computer Engineering at the University of Southern California (USC). His research focuses on post-CMOS hardware for neuromorphic computing, machine learning, and artificial intelligence, in which he has published several pioneering papers and holds over 120 granted U.S. patents. Dr. Yang is the Founding Chair of the IEEE Neuromorphic Computing Technical Committee, Director of the USC–Air Force Center of Excellence on Neuromorphic Computing, and Co-Founder of TetraMem Inc. He has received numerous honors, including the USC senior faculty research award and the Powell Faculty Research Award. He serves as an Associate Editor for associate editor of Science Advances (AAAS), ED-M (IEEE), PNAS (NAS). Dr. Yang is a Clarivate™ Highly Cited Researcher and ranked among the Top Scientists by Research.com. He is a Fellow of IEEE and the National Academy of Inventors (NAI), recognized for his seminal contributions to resistive switching materials and devices for non-volatile memory and neuromorphic computing.
Host: Dr. Steve Crago
More Info: https://www.isi.edu/events/5813/real-time-rf-signal-processing-in-extreme-environments-with-memristors/
Webcast: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addonWebCast Link: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon
Audiences: Everyone Is Invited
Contact: Amy Kasmir
Event Link: https://www.isi.edu/events/5813/real-time-rf-signal-processing-in-extreme-environments-with-memristors/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Liquid Rocket Engines for Spacecraft Pressure-Fed Propulsion SystemsSat, Jun 07, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Ghanshyam Purshottamda Purohit, USC Astronautical Engineering
Talk Title: Liquid Rocket Engines for Spacecraft Pressure-Fed Propulsion Systems
Abstract: This three-day course provides an overview of the fundamental concepts and technologies of modern satellite liquid propellant rocket engines. The course will concentrate scientific and engineering foundations of pressure - fed, monopropellant, bipropellant, dual mode, and secondary combustion augmented thrusters for satellite orbit-raising and station-keeping operations.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/astronautical-engineering/liquid-rocket-engines-spacecraft-pressure-fed-propulsion-systems/
Audiences: Liquid Rocket Engines Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Black Belt
Mon, Jun 09, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Black Belt
Tue, Jun 10, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Black Belt
Wed, Jun 11, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Suyash P. Awate Seminar - Robust and Data-Scarce Statistical Learning for Improved Neuroimaging, Wednesday, June 11th at 2pm in EEB 132 & Zoom
Wed, Jun 11, 2025 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Suyash P. Awate, Indian Institute of Technology (IIT) Bombay
Talk Title: Robust and Data-Scarce Statistical Learning for Improved Neuroimaging
Series: ECE Seminar
Abstract: Improvements in medical imaging, image-reconstruction, and image-quality-enhancement continue to push towards enabling higher resolution in space and/or time, e.g., in dynamic MRI, and towards lower radiation dose, e.g., in PET and CT. While learning-based approaches hold great potential in pushing the state of the art, they are limited by the unavailability of large (high-quality) datasets for supervised training. This talk describes our recent methods for image reconstruction and quality enhancement that can learn from limited data, model uncertainty estimates associated with their outputs, and exhibit robustness to out-of-distribution data. We design these methods to leverage statistical modeling paradigms using traditional machine learning as well as deep learning.
Biography: Suyash P. Awate is the Asha and Keshav Bhide Chair Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Bombay. His research focuses on quantitative methods and applications in medical image computing, leveraging principles in statistical inference and machine learning. He has around 100 full-length publications in well-known conferences and journals, receiving many best-paper awards/nominations and honors. He was a Program Chair of IEEE ISBI 2022, and serves as an Associate Editor of Medical Image Analysis. More information available at https://www.cse.iitb.ac.in/~suyash/
Host: Richard Leahy
More Info: https://usc.zoom.us/j/91606117125?pwd=zLMkLtb4EjnEvGA1u5O6sxlwnEjaoq.1
More Information: Suyash Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/91606117125?pwd=zLMkLtb4EjnEvGA1u5O6sxlwnEjaoq.1
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Black Belt
Thu, Jun 12, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Pre-SPARK seminar
Thu, Jun 12, 2025 @ 12:30 PM - 01:30 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Daria Mochly-Rosen, Professor of Chemical & Systems Biology @ Stanford Cellular/Molecular Engineering of Pharmaceuticals
Talk Title: SPARKing Translation at Stanford: 19 Years of Experience (2006- )
Host: Eun Ji Chung
Location: Michelson Center for Convergent Bioscience (MCB) - 101
Audiences: Everyone Is Invited
Contact: Yi Huang
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Black Belt
Fri, Jun 13, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CA DREAMS - Technical Seminar Series
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Fri, Jun 13, 2025 @ 12:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Rehan Kapadia, Professor, USC
Talk Title: MOSIS 2.0
Series: CA DREAMS - Technical Seminar Series
Abstract: Since its founding in 1981, the original MOSIS service revolutionized VLSI prototyping by letting universities, startups, and government labs share multiproject wafers—shrinking tape-out costs and accelerating more than 60 000 chips to silicon. Today, MOSIS 2.0 builds on that legacy, expanding services to include access to IP, design services, and low-volume semiconductor prototyping services. In this talk, we will discuss the current state of the offerings and lay out a roadmap for the future.
Biography: Professor Rehan Kapadia joined the faculty of the University of Southern California in the Ming Hsieh Department of Electrical and Computer Engineering in July 2014. He currently holds the Colleen and Roberto Padovani Early Career Chair, and serves as Director of MOSIS 2.0 and Director of the John O’Brien Nanofabrication Laboratory. He received his bachelors in electrical engineering from the University of Texas at Austin in 2008, and his Ph.D. in electrical engineering from the University of California, Berkeley in 2013. During his time at Berkeley, he was a National Science Foundation Graduate Research Fellow and winner of the David J. Sakrison Memorial Prize for outstanding research. At USC, he is the recipient of AFOSR and ONR Young Investigator Awards and the Peter Mark Memorial Award from the AVS. His interests lie at the intersection of material science and electrical engineering focusing on non-equilibrium electron devices, and materials growth technologies for next-generation electronic and photonic devices.
Host: Dr. Steve Crago
More Info: https://www.isi.edu/events/5862/mosis-2-0/
Webcast: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addonWebCast Link: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon
Audiences: Everyone Is Invited
Contact: Amy Kasmir
Event Link: https://www.isi.edu/events/5862/mosis-2-0/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Liquid Rocket Engines for Spacecraft Pressure-Fed Propulsion Systems
Sat, Jun 14, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Ghanshyam Purshottamda Purohit, USC Astronautical Engineering
Talk Title: Liquid Rocket Engines for Spacecraft Pressure-Fed Propulsion Systems
Abstract: This three-day course provides an overview of the fundamental concepts and technologies of modern satellite liquid propellant rocket engines. The course will concentrate scientific and engineering foundations of pressure - fed, monopropellant, bipropellant, dual mode, and secondary combustion augmented thrusters for satellite orbit-raising and station-keeping operations.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/astronautical-engineering/liquid-rocket-engines-spacecraft-pressure-fed-propulsion-systems/
Audiences: Liquid Rocket Engines Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Ahmed H. Qureshi (Purdue University) - Harnessing Physics Priors for Efficient and Scalable Robot Motion Learning
Thu, Jun 19, 2025 @ 10:00 AM - 11:00 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Ahmed H. Qureshi, Purdue University
Talk Title: Harnessing Physics Priors for Efficient and Scalable Robot Motion Learning
Abstract: This talk will outline the use of physics priors towards creating efficient plug-and-play algorithms for robot motion learning. These algorithms require minimal to no expert data and achieve high efficiency in both training and inference while effectively operating in complex, high-dimensional environments under various constraints. Recent advancements in robot motion learning include methods based on imitation and offline reinforcement learning, which are known to necessitate a significant amount of expert trajectories and entail high training times. In contrast, this presentation will introduce a new class of self-supervised, physics-informed neural motion policy learners. These methods aim to directly solve Partial Differential Equations (PDEs) that govern robot motion without depending on expert data or requiring extensive training resources. Additionally, the talk will discuss how these PDEs can create a new robot-motion-friendly mapping feature. We demonstrate that this new mapping feature is better suited for fast robot motion generation than existing mapping features, such as occupancy maps or Sign Distance Fields. This talk will demonstrate that these new physics-informed approaches outperform state-of-the-art imitation learning and offline reinforcement learning methods in terms of scalability, training efficiency, data efficiency, computational planning speed, path quality, and success rates.
Biography: Ahmed Qureshi is an Assistant Professor in the Department of Computer Science at Purdue University. Dr. Qureshi is also currently serving as an Associate Editor for IEEE Transactions on Robotics (TRO) and IEEE Robotics and Automation Letters (RA-L). In 2024, he received the Outstanding Associate Editor award from IEEE RA-L. He has previously served on the program committees of RSS, ICRA, IROS, and CoRL. At Purdue University, Dr. Qureshi directs the Cognitive Robot Autonomy and Learning (CoRAL) Lab. His group conducts fundamental and applied research in robot motion planning and control with the aim of developing robots that can understand the general laws of physics and plan their movements in real time with minimal to no expert demonstrations. His work addresses problems such as scalable and fast motion planning, dexterous manipulation, active perception, and multiagent task and motion planning. Dr. Qureshi's contributions have been recognized with spotlight and best paper awards at various academic venues. Prior to his current roles, he earned his B.S. in Electrical Engineering from NUST, Pakistan, an M.S. in Engineering from Osaka University, Japan, and a Ph.D. in Intelligent Systems, Robotics, and Control from the University of California San Diego.
Host: Daniel Seita
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone (USC) is invited
Contact: CS Faculty Affairs
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CA DREAMS - Technical Seminar Series
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Fri, Jun 20, 2025 @ 12:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Puneet Gupta, Professor, UCLA
Talk Title: Scale-out Chiplet Based Systems: Design, Architecture and Pathfinding
Series: CA DREAMS - Technical Seminar Series
Abstract: As conventional technology scaling becomes harder, 2.5D integration provides a viable pathway to building larger systems at lower cost. Waferscale chiplet-based systems, as much as 100X larger than largest modern SoCs pose new opportunities and challenges in their architecture and design. We describe a waferscale GPU concept and discuss our experience designing a 2000 chiplet waferscale processor system, pointing out key challenges and solutions. Next, we describe our ongoing work on developing a cross-stack pathfinding framework for large distributed 2.5D/3D systems, identifying areas where technology development would help design metrics substantially, especially for the important class of distributed machine learning training applications.
Biography: Puneet Gupta received the B.Tech. degree in electrical engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2000, and the Ph.D. degree from the University of California at San Diego, San Diego, CA, USA, in 2007. He is currently a Faculty Member with the Electrical and Computer Engineering Department, University of California at Los Angeles. He Co-Founded Blaze DFM Inc., Sunnyvale, CA, USA, in 2004 and served as its Product Architect until 2007. He has authored over 200 papers, 18 U.S. patents, a book and two book chapters in the areas of system-technology co-optimization as well as variability/reliability aware architectures. Dr. Gupta is an IEEE Fellow and was a recipient of the NSF CAREER Award, the ACM/SIGDA Outstanding New Faculty Award, SRC Inventor Recognition Award, and the IBM Faculty Award. He currently leads the system benchmarking thrust within SRC JUMP 2.0 CHIME packaging center.
Host: Dr. Steve Crago
More Info: https://www.isi.edu/events/5810/scale-out-chiplet-based-systems-design-architecture-and-pathfinding/
Webcast: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addonWebCast Link: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon
Audiences: Everyone Is Invited
Contact: Amy Kasmir
Event Link: https://www.isi.edu/events/5810/scale-out-chiplet-based-systems-design-architecture-and-pathfinding/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Robotics and Autonomous Systems Center (RASC) Seminar
Fri, Jun 20, 2025 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering, Thomas Lord Department of Computer Science, USC School of Advanced Computing
Conferences, Lectures, & Seminars
Speaker: Prof. Dinesh Jayaraman, University of Pennsylvania
Talk Title: Engineering Better Robot Learners: Exploration and Exploitation
Abstract: Industry is placing big bets on "brute forcing" robotic control, but such approaches ignore the centrality of resource constraints in robotics on power, compute, time, data, etc. Towards building a true engineering discipline of robotics, my research group has been "exploiting and exploring" robot learning: exploiting to push the limits of what can be achieved with today's prevalent principles at various resource constraints, and "exploring" better design principles for efficient and minimalist robots in the future. As examples of “exploit”, we have trained quadruped robots to perform circus tricks on yoga balls and robot arms to perform household tasks in entirely unseen scenes with unseen objects. As examples of “explore”, we are studying the sensory requirements of robot learners: what sensors do they need and when do they need them during training and task execution? In this talk, I will highlight these examples and discuss some lessons we have learned in our research towards better-engineered robot learners.
Biography: Dinesh Jayaraman is an assistant professor at the University of Pennsylvania's CIS department and GRASP lab. He leads the Perception, Action, and Learning (Penn PAL) research group, which works at the intersections of computer vision, robotics, and machine learning. Dinesh received his PhD (2017) from UT Austin, before becoming a postdoctoral scholar at UC Berkeley (2017-19). Dinesh's research has received a Best Paper Award at CORL '22, a Best Paper Runner-Up Award at ICRA '18, a Best Application Paper Award at ACCV '16, the NSF CAREER award '23, an Amazon Research Award '21, and been covered in The Economist, TechCrunch, and several other press outlets. His webpage is at: https://www.seas.upenn.edu/~dineshj/
Host: Prof. Erdem Biyik
Webcast: https://usc.zoom.us/j/97616702619?pwd=aiV4aX7mgVCUO3qUVmJ5DIWipZBy12.1Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/97616702619?pwd=aiV4aX7mgVCUO3qUVmJ5DIWipZBy12.1
Audiences: Everyone Is Invited
Contact: ERDEM BIYIK
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Green Belt for Process Improvement
Tue, Jun 24, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Green Belt for Process Improvement
Wed, Jun 25, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Green Belt for Process Improvement
Thu, Jun 26, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Black Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Six Sigma Black Belt Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Robotics and Autonomous Systems Center (RASC) Seminar
Thu, Jun 26, 2025 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering, Thomas Lord Department of Computer Science, USC School of Advanced Computing
Conferences, Lectures, & Seminars
Speaker: Dr. Naman Shah, Brown University
Talk Title: Autonomously Learning World-Model Representations For Efficient Robot Planning
Abstract: In recent years, it has been clear that planning is an essential tool for robots to achieve complex goals. However, robots often heavily rely on humans to provide "world models" that enable long-horizon planning. It is not only expensive to create such world models as it requires human experts who understand the domains as well as limitations of the robot, but these human-generated world models are often biased by human intuition and kinematic constraints. In this talk, I will present my research focusing on autonomously learning plannable world models. The talk would involve discussing approaches on task and motion planning, neuro-symbolic abstractions for motion planning, and how we can learn world models for task and motion planning.
Biography: Naman is a Postdoctoral researcher in the Intelligent Robots Lab (IRL) with Prof. George Konidaris. He has completed his PhD from Arizona State University, supervised by Prof. Siddharth Srivastava. His research interest lies in investigating methods for autonomously inventing generalizable and plannable world models for robotics tasks. He has been an intern with Palo Alto Research Center, Amazon Robotics, and Toyota Research Institute. Naman has also achieved several graduate fellowships at ASU and a Best Demo Paper Award at AAMAS 2022.
Host: Prof. Erdem Biyik
Webcast: https://usc.zoom.us/j/93271412501?pwd=uYyZGnx1XgMS0i9JbEJpIx7Nz57Lbk.1More Information: Naman Shah's Visit - 6_26_25.pdf
Location: 248
WebCast Link: https://usc.zoom.us/j/93271412501?pwd=uYyZGnx1XgMS0i9JbEJpIx7Nz57Lbk.1
Audiences: Everyone Is Invited
Contact: ERDEM BIYIK
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CA DREAMS - Technical Seminar Series
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Fri, Jun 27, 2025 @ 12:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Julia R Greer, Professor, Caltech
Talk Title: Intelligentsia of Nano-Architected Hierarchical Materials
Series: CA DREAMS - Technical Seminar Series
Abstract: Creation of reconfigurable and multi-functional materials can be achieved by incorporating architecture into material design. In our research, we design and fabricate three-dimensional (3D) nano-architected materials that can exhibit superior and often tunable mechanical, thermal, photonic, electrochemical, and biochemical pro¬¬¬per¬¬ties at ex¬tre¬me¬ly low mass densities, which renders them useful and enabling in tech¬no¬lo¬gi¬cal applications. Dominant properties of such meta-materials are driven by their multi-scale hierarchy: from characteristic material microstructure (atoms) to individual constituents (nanometers) to structural components (microns) to overall architectures (millimeters and above). Our research is focused on the fabrication, synthesis, and characterization of hierarchical materials using additive manufacturing (AM) techniques, as well as on investigating their mechanical, electrochemical, and chemo-mechanical properties as a function of architecture, constituent materials, and microstructural detail. AM represents a set of processes that fabricate complex 3D structures using a layer-by-layer approach, with some advanced methods attaining nanometer resolution and the creation of unique, multifunctional materials and shapes derived from a photoinitiation-based polymerization of custom-synthesized resins and thermal post-processing. A type of AM, vat polymerization, has allowed for using hydrogels as precursors to produce 3D nano- and micro-architected metals and metal oxides, and exploiting their nano-induced material and structural properties. We describe additive manufacturing via vat polymerization and function-containing chemical synthesis to create 3D nano- and micro-architected metals, ceramics, multifunctional metal oxides, and metal-containing polymer complexes with dynamic bonds, as well as demonstrate their potential in some biomedical, protective, and sensing applications. I will describe how the choice of architecture and material can elicit new microstructural orders and induce stimulus-responsive, reconfigurable, and multifunctional response.
Biography: Creation of reconfigurable and multi-functional materials can be achieved by incorporating architecture into material design. In our research, we design and fabricate three-dimensional (3D) nano-architected materials that can exhibit superior and often tunable mechanical, thermal, photonic, electrochemical, and biochemical pro¬¬¬per¬¬ties at ex¬tre¬me¬ly low mass densities, which renders them useful and enabling in tech¬no¬lo¬gi¬cal applications. Dominant properties of such meta-materials are driven by their multi-scale hierarchy: from characteristic material microstructure (atoms) to individual constituents (nanometers) to structural components (microns) to overall architectures (millimeters and above). Our research is focused on the fabrication, synthesis, and characterization of hierarchical materials using additive manufacturing (AM) techniques, as well as on investigating their mechanical, electrochemical, and chemo-mechanical properties as a function of architecture, constituent materials, and microstructural detail. AM represents a set of processes that fabricate complex 3D structures using a layer-by-layer approach, with some advanced methods attaining nanometer resolution and the creation of unique, multifunctional materials and shapes derived from a photoinitiation-based polymerization of custom-synthesized resins and thermal post-processing. A type of AM, vat polymerization, has allowed for using hydrogels as precursors to produce 3D nano- and micro-architected metals and metal oxides, and exploiting their nano-induced material and structural properties. We describe additive manufacturing via vat polymerization and function-containing chemical synthesis to create 3D nano- and micro-architected metals, ceramics, multifunctional metal oxides, and metal-containing polymer complexes with dynamic bonds, as well as demonstrate their potential in some biomedical, protective, and sensing applications. I will describe how the choice of architecture and material can elicit new microstructural orders and induce stimulus-responsive, reconfigurable, and multifunctional response.
Host: Dr. Steve Crago
More Info: https://www.isi.edu/events/5807/intelligentsia-of-nano-architected-hierarchical-materials/
Webcast: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addonWebCast Link: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon
Audiences: Everyone Is Invited
Contact: Amy Kasmir
Event Link: https://www.isi.edu/events/5807/intelligentsia-of-nano-architected-hierarchical-materials/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
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