Panel Discussion Speakers: Shaolei Ren is an Associate Professor of Electrical and Computer Engineering at the University of California, Riverside. His research broadly focuses on AI, energy, and public health. His work has generated broader societal impacts, shaping AI policies adopted by international organizations such as the United Nations, UNESCO, and WHO. Additionally, his research has driven industry innovations, including the development of the first real- time water footprint reporting tool for computing. He is a recipient of the NSF CAREER Award (2015) and several paper awards, including at ACM e-Energy (2024, 2016) and IEEE ICC (2016). He received his Ph.D. from the University of California, Los Angeles. --------------------------------------------------------------- Dr. Sharon Hsiao is Assistant Professor & David Packard endowed junior fellow in the Department of Computer Science & Engineering at Santa Clara University. Prior to SCU, Dr. Hsiao was an assistant professor at Arizona State University and Columbia University, where she established several research projects and taught graduate & undergraduate level courses. Dr. Hsiao’s research focuses on educational technologies, computational modeling, visual analytics, and adaptive technology for personalized learning. Her research methodology involves AI and HCI approaches, applied data science and machine learning techniques in researching effective technology to help people learn. Dr. Hsiao actively involves in several international research communities, including Educational Data Mining (EDM), Learning Analytics & Knowledge (LAK), Artificial Intelligence in Education (AIED), and European Conference on Technology Enhanced Learning (EC-TEL). She serves as the Program Chair of 14th International Conference on Educational Data Mining, Organizing Chair of the 9th of International Conference on Learning Analytics & Knowledge, and several other leadership and editing positions. https://webpages.scu.edu/ftp/ihsiao/ --------------------------------------------------------------- Irina Raicu directs the Internet Ethics program at the Markkula Center for Applied Ethics. She is a certified information privacy professional, and her work addresses a wide variety of topics—from online privacy to social media’s impact on society, from the digital divide to the ethics of encryption, and the many ethical issues associated with artificial intelligence. Raicu was a member of the Partnership on AI's first working group on Fair, Transparent, and Accountable AI, and she served as a member of the initial cohort of the city of San Jose’s privacy advisory task force. Together with other center staff, Raicu has worked with multiple companies in the process of developing their responsible tech/responsible AI policies and processes. Her writing has appeared in publications including The Atlantic, U.S.A. Today, Forbes, MarketWatch, Slate, the San Francisco Chronicle, and she is the primary contributor to the blog Internet Ethics: Views from Silicon Valley. (https://www.scu.edu/ethics/about-the-center/people/irina-raicu/(https://www.scu.edu/ethics/about-the-center/people/irina-raicu/)) US Local Chapter Moderator: Yuhong Liu, Associate Professor at the Department of Computer Science and Engineering, Santa Clara University. Her research interests include responsible AI, trustworthy computing and cyber security of emerging applications, such as online social media, Internet-of-things and Blockchain. She has published over 100 papers on prestigious journals and peer reviewed conferences. She is currently serving as an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Service Computing (TSC), Multimedia Tools and Applications (MTAP), APSIPA Transactions on Signal and Information Processing (TSIP), and a Youth EBM Editor of the Blockchain: Research and Applications Journal. She serves as an IEEE Computer Society Distinguished Visitor (2022-2024), and an APSIPA Distinguished Lecturer (2021- 2022). She is the recipient of the 2019 Researcher of the Year Award at School of Engineering, Santa Clara University, the 2013 University of Rhode Island Graduate School Excellence in Doctoral Research Award, and the Best Paper award of the IEEE International Conference on Social Computing 2010 (acceptance rate 13%). (https://www.scu.edu/engineering/faculty/liu-yuhong/(https://www.scu.edu/engineering/faculty/liu-yuhong/)) Co-sponsored by: Asia-Pacific Signal and Information Processing Association (APSIPA) Virtual: https://events.vtools.ieee.org/m/482441

Diversity coding is a form of network coding for link failure recovery in communication networks. Since it employs coding, there is no feedback signaling, and that feature makes it very fast. One approach, Diversity Coding Tree, employs mixed integer programming and results in very fast restoration. Another approach is called Coded Path Protection and employs integer linear programming and has the advantage of small extra capacity. This latter technique is based on former work that considers a communication network as consisting of bidirectional links. This technique employs a mixed integer linear programming formulation and results in restoration times as fast as Diversity Coding Tree with reduced extra capacity. Speaker(s): Ender Ayanoglu, Virtual: https://events.vtools.ieee.org/m/466460

We are pleased to invite you to a Distinguished Lecture by Prof. Dr. Justin Dauwels, IEEE SPS Distinguished Lecturer 2024, organized by the IEEE SPS Student Branch Chapter of Leiria and the IEEE SPS Portugal Chapter in collaboration with the IEEE Portugal Section, the Portuguese Chapters of VTS and ComSoc, the Seatle Section Joint Chapter COM19/VT06/BT02/IT12/ITS38 and Politécnico de Leiria School of Technology and Management (ESTG). Summary of the talk: One of the main challenges in autonomous driving is the occurrence of errors in perception systems. These errors represent significant risk factors that compromise the safety of both occupants and road users. These problems are exacerbated in systems based solely on cameras, while they are more manageable in configurations that integrate sensors such as LiDAR and radar. In this lecture, promoted by the IEEE Signal Processing Society (SPS) Portugal Chapter and organized by the IEEE SPS Student Branch Chapter, the aim is to analyze the effects of these errors on the behavior of autonomous vehicles, how they can be modeled and simulated in virtual environments, and their consideration in safety assessment processes. --- Justin Dauwels (SM) is an Associate Professor at the TU Delft (Circuits and Systems, Department of Microelectronics). He was an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore till the end of 2020. He was the Deputy Director of the ST Engineering – NTU corporate lab. Dr. Dauwels obtained his PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Dr. Dauwels was a postdoctoral Fellow at the RIKEN Brain Science Institute (2006-2007), a research scientist at the Massachusetts Institute of Technology (2008-2010), a JSPS postdoctoral Fellow (2007), a BAEF Fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008), and a JSPS invited Fellow (2010, 2011). Dr. Dauwels served as Chairman, IEEE CIS Chapter in Singapore (2018 to 2020); Associate Editor, IEEE Transactions on Signal Processing (2018-2023); Associate Editor, Elsevier journal Signal Processing (since 2021); member, Editorial Advisory Board of the International Journal of Neural Systems (since 2020), and organizer, IEEE conferences and special sessions. He is also Elected Member of the IEEE Signal Processing Theory and Methods Technical Committee and IEEE Biomedical Signal Processing Technical Committee, both since 2018. Dr. Dauwels’ research on intelligent transportation systems has been featured by the BBC, Straits Times, Lianhe Zaobao, Channel 5, and numerous technology websites. Besides his academic efforts, the team of Dr. Justin Dauwels also collaborates intensely with local start-ups, SMEs, and agencies, in addition to MNCs, in the field of data-driven transportation, logistics, and medical data analytics. Dr. Dauwels’ research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behaviour and physiology. #IEEE #SignalProcessing #SPS #DistinguishedLecture #Research #Leiria #HybridEvent #Engineering Co-sponsored by: ESTG - Politécnico de Leiria Speaker(s): Justin Dauwels, Leiria, Centro, Portugal, Virtual: https://events.vtools.ieee.org/m/484403

This is a hybrid event . The location is the Student Center – STCN 210. To reserve parking, please click on the following link: https://www.offstreet.io/location/2V0J2HLO and enter your vehicle license plate. Attached a map of the SU Campus. The closest visitor parking would be in the Murphy Garage (circled in red). You would take the skybridge to STCN. (https://seattleu.zoom.us/j/99432590251) One tap mobile: US: (tel:+12532158782,,99432590251) or (tel:+12133388477,,99432590251) Meeting URL: https://seattleu.zoom.us/j/99432590251 Meeting ID: 994 3259 0251 Join by Telephone For higher quality, dial a number based on your current location. Dial: +1 253 215 8782 US (Tacoma) +1 213 338 8477 US (Los Angeles) Meeting ID: 994 3259 0251 WiFi is typically left out of Advanced 5G/6G considerations, yet recent advances in WiFi protocol stack has rendered it competitive for several indoor 6G application scenarios. First portion of the talk will present overview of some of these key new features of IEEE 802.11ax (WiFi6) and (emerging) 802.11be (WiFi7) standard, aligned with desired improvement of network efficiency in dense deployment scenarios (enterprise and residential) as well reliable, low latency operations for delay-sensitive traffic. The potential of some of these features – e.g. Multi Link Operation (MLO) defined in 11be - for Advanced 5G/6G applications will be exemplified. Next, we pivot to emergence of on-board (vehicular) commercial radar sensors, in support of advanced automated functions for driver assistance. This leads to the need for networked sensing (or equivalently integrated sensing and communications) for operations in dense urban environments. New system-theoretic foundations for radar-communications integration via embedding concepts of multiple access inside current radar system operations will be described. Speaker(s): Sumit Roy, Room: 210, Bldg: Seattle U, Student Center, 901 12th Ave, Seattle, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/482012

You are Invited! Join the IEEE Seattle Section for our May EXCOM Meeting Tuesday, May 13, 2025. Connect with fellow IEEE members, enjoy great food and drinks, and get inspired by the future of technology. Special Presentation by Dr. Sumit Roy Fellow IEEE, Professor at the University of Washington . Discover " Two what’s Next in Communications", as Dr. Roy explores the cutting-edge innovations driving the next generation of wireless networks. Plus, hear exciting updates on IEEE Seattle activities and upcoming plans. Nominations Now Open for 6 Technical Societies! Take the Lead — Nominate Yourself or a Colleague Starting Today! Help shape the future of IEEE Seattle by stepping into a leadership role. This is your opportunity to join the EXCOM team, present your vision, and energize our vibrant technical community. Eligibility: Candidates must be: IEEE Graduate Student Members, Members, Senior Members, Life Members, or Fellows of the designated chapter before May 6, 2025 Please note: Undergraduate and Associate Members are not eligible. Nomination open : May 6 – June 6, 2025 Following societies now accepting nominations: - Aerospace & Electronic Systems (AES-10) - Signal Processing (SP-01) - Education (E-25) - Circuits & Systems (CAS-04) - Power Electronics (PEL-35) - Industrial Applications (IA-34) Voting open: April 23 – May 11, 2025 Vote or Write-in Today : - Electromagnetic Compatibility (EMC-27) - Joint Chapter: Antennas & Propagation (AP-03), Electron Devices (ED-05), Microwave Theory & Techniques (MTT-17) To Nominate, Email Us the Following: - Your Bio - Your IEEE Membership Number - A Short Statement of Intent — Why should people vote for you? Send your nomination to the Election Committee: - Sanjay Samuel, Election Committee Chair – sanjaysamuel@ieee.org - Sheree Wen, Seattle Section Chair – swen@ieee.org - Dave Butcher, Seattle Section Past Chair – dbutcher@ieee.org (https://events.vtools.ieee.org/tego_/event/edit/484232) Join EXCOM, shine as a leader, and help shape the future of our technical societies. Together, we can build a stronger, smarter, and more connected IEEE Seattle community. Take the lead step up Join May 13th EXCOM to shine and present to our vibrant technical community. Co-sponsored by: Joint Chapter, Power Energy, Computer Society chapter, Joint chapter CH06102 - Seattle Sect Jt. Chap, COM19/VT06/BT02/IT12/ITS38 Speaker(s): , Sumit Roy Agenda: Tuesday May 13th 2025 5:45 pm-6:45 pm, Speech by Dr. Sumit Roy , IEEE fellow and Professor at University of Washington , 7:00 pm-7:30 Pm Review March Meeting minutes and Section Business 7:30 pm -8:00 Pm Chapter and student Branch report . 8:00 pm -8:30pm Chapter Election Room: Room Number: 210, Bldg: Student Center, 901 12th Ave • Seattle University , Seattle,, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/484232

EXCOM Meeting for IEEE PES Seattle Officers Virtual: https://events.vtools.ieee.org/m/452311

EXCOM Meeting for IEEE PES Seattle Officers Virtual: https://events.vtools.ieee.org/m/452311

Starlink and alike have attracted a lot of attention recently, however, the inner working of these low-earth-orbit (LEO) satellite networks is still largely unknown. This talk presents an ongoing measurement campaign focusing on Starlink, including its satellite access networks, gateway and point-of-presence structures, and backbone and Internet connections, revealing insights applicable to other LEO satellite providers. It also highlights the challenges and research opportunities of the integrated space-air-ground-aqua network envisioned by 6G mobile communication systems and calls for a concerted community effort from practical and experimentation aspects. Guest parking is available on the same entry level parking by following signs. Speaker(s): Jianping Pan, Room: Conf Room#1300 on 1st floor, Bldg: T-Mobile building 3, 12920 SE 38th St, Bellevue, WA , Washington, United States, 98006

Agentic AI represents a groundbreaking shift in artificial intelligence, enabling systems to act autonomously, make decisions, and achieve goals with minimal human intervention. This talk explores the concept of Agentic AI, its various types, adoption trends, and the transformative impact it is poised to have on industries and societies. From reshaping workflows to influencing ethical frameworks, we’ll examine how this emerging technology drives innovation and redefines humanity’s relationship with intelligent systems. Note: - You will require a Zoom account (free to obtain) to join the meeting. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account, not necessarily the one you used to register for the event. - By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Narayan Srinivasa, IEEE Fellow , Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/479545