Latest Past Events
IEEE SPS SCV In-Person Event: The state of video compression standards: strong, dynamic, and embracing deep learning-based technologies
Room 1302, Sobrato Campus for Discovery and Innovation (SCDI) at Santa Clara UniversityDescription The state of video compression standards is strong and dynamic, and more compression is coming in their future. To explain why will start by presenting deployment and adoption of the two most recent video compression standards: AV1 and VVC. Will then discusses new deep learning-based video compression technologies that standards development organizations are investigating and exploring for standardization. Will close highlighting some of these investigations that have reached the standardization stage. Speaker Bio Dr. Iole Moccagatta is a Senior Principal Engineer at Intel working on HW Multimedia accelerators and IPs integrated on Intel platforms and products. Iole is an active member of MPEG and ITU-T, Chair of the MPEG/ITU-T Joint Video Experts Team (JVET) Ad-Hoc Group on Conformance and co-editor of the H.266/VVC Conformance Testing specification. She has also contributed to the Alliance for Open Media (AOM) AV1 Codec WG, and currently represents Intel in the AOM Steering Committee. She is an active member of IEEE, serving as SPS Members-at-Large and as member of the SPS Industry Technical WG, the IEEE Fourier Award for Signal Processing Committee, the SPS Technical Committee Review Committee, the SPS Membership Development Committee, and as Chair of the SPS Industry Outreach and Engagement Subcommittee. Iole is the author or co-author of more than 30 publications, 2 book chapters, and more than 10 talks and tutorials in the field of image and video coding. She holds more than 10 patents in the same fields. For more details see Dr. Moccagatta professional site at http://alfiole.users.sonic.net/iole/. Iole received a Diploma of Electronic Engineering from the University of Pavia, Italy, and a PhD from the Swiss Federal Institute of Technology in Lausanne, Switzerland. Registration In person registration (Free for IEEE members, $5 for non-members) Agenda 6:15 – 7:00 Registration, check-in, networking, food, and drink 7:00 – 8:00 PM – Presentation & Discussions Location Room 1302, Sobrato Campus for Discovery and Innovation (SCDI) at Santa Clara University
IEEE SPS SCV Distinguished Industry Speech: Towards Building Natural Conversational Agents
AMD 2485 Augustine Drive, Santa ClaraDescription In this presentation, I will present some of the recent progresses in building conversational agents, with a focus on the speech modality. I will introduce desirable properties of such systems and explain some of the key concepts, core ideas, and main technologies developed in practical systems. Speaker Bio Dr. Dong Yu is a Fellow of ACM, IEEE, and ISCA. His research spans speech processing and recognition, multi-modal interactive and agentic systems, and natural language processing (including large language models) using deep learning techniques. He was a distinguished scientist and vice general manager at Tencent AI Lab till very recently. Before joining Tencent in 2017, he was a principal researcher at Microsoft Research in Redmond. He has received numerous prestigious awards, notably the 2025 IEEE SPS Claude Shannon-Harry Nyquist Technical Achievement Award, which acknowledges his pioneering contributions to speech recognition and deep learning. Dr. Dong Yu has served on multiple journal editorial boards, conference committees, and chaired the IEEE Speech and Language Processing Technical Committee from 2021 to 2022. Registration Link https://events.vtools.ieee.org/m/545402
Truths & Myths About Automated Vehicle Safety
Online EventDescription The past year has seen both peak hype and significant issues for the automated vehicle industry. In this talk we recap general trends and summarize the current situation for autonomous vehicles such as robotaxis, as well as conventional vehicles that have automated steering features. Many of the issues the industry faces are self-inflicted, stemming from a combination of inflated promises, attempts to scale immature technology too aggressively, and an overly narrow view of safety. Overall, the companies deploying the technology have failed to address legitimate concerns of a wide variety of stakeholders. There are a number of different aspects that still need to be addressed including: legislation, regulation, liability, insurance, driver skills, traffic enforcement, emergency services, vulnerable road users, engineering standards, business models, public messaging, investor pressure, cultural change, ethical/equity concerns, and local oversight. We concentrate on how all these pieces need to fit together to create sustainable automated vehicle technology approaches. Speaker Philip Koopman ("KOPE-man") is a professor at Carnegie Mellon University in Pittsburgh Pennsylvania, USA, who has been working on self-driving car safety for more than 25 years. Prof. Philip Koopman is an internationally recognized expert on Autonomous Vehicle (AV) safety whose work in that area spans over 25 years. He is also actively involved with AV policy and standards as well as more general embedded system design and software quality. His pioneering research work includes software robustness testing and run time monitoring of autonomous systems to identify how they break and how to fix them. He has extensive experience in software safety and software quality across numerous transportation, industrial, and defense application domains including conventional automotive software and hardware systems. He is a faculty member of the Carnegie Mellon University ECE department where he teaches software skills for mission-critical systems.