In this talk, we focus on the recent developments toward integrated sensing and communications (ISAC). We consider a broad definition of coexistence, which covers ISAC, collaborative communications, and sensing with interference. Toward fully realizing the coexistence of the two systems, optimization of resources for both new/futuristic sensing and wireless communications modalities is crucial. These synergistic approaches that exploit the interplay between state sensing and communications are both driving factors and opportunities for many current signal processing and information-theoretic techniques. In addition, a large body of prior works considers colocated ISAC systems, while distributed systems remain relatively unexamined. Building on the existing approaches, the tutorial highlights emerging scenarios in collaborative and distributed ISAC, particularly at mm-Wave and THz frequencies, highly dynamic vehicular/automotive environments that would benefit from information exchange between the two systems. It presents the architectures and possible methodologies for mutually beneficial distributed co-existence and co-design, including sensor fusion and heterogeneously distributed radar and communications. The tutorial also considers recent developments such as deploying intelligent reflecting surfaces (IRS) in ISAC, 5G systems, passive internet-of-things, and ISAC secrecy rate optimization. This tutorial aims to draw the attention of the radar, communications, and signal processing communities toward an emerging area, which can benefit from the cross-fertilization of ideas in distributed systems.

Biography

Kumar Vijay Mishra (S’08-M’15-SM’18) obtained a Ph.D. in electrical engineering and an M.S. in mathematics from The University of Iowa in 2015, and an M.S. in electrical engineering from Colorado State University in 2012, while working on NASA’s Global Precipitation Mission Ground Validation (GPM-GV) weather radars. He received his B. Tech. summa cum laude (Gold Medal, Honors) in electronics and communication engineering from the National Institute of Technology, Hamirpur (NITH), India, in 2003. He is currently a Research Scientist at the Institute for Systems Research, The University of Maryland, College Park, under the ARL-ArtIAMAS program; Technical Adviser to Singapore-based automotive radar startup Hertzwell and Boston-based imaging radar startup Aura Intelligent Systems; and honorary Research Fellow at SnT - Interdisciplinary Centre for Security, Reliability, and Trust, University of Luxembourg.

Previously, he had research appointments at the United States Army Research Laboratory (ARL), Adelphi; Electronics and Radar Development Establishment (LRDE), Defence Research and Development Organisation (DRDO) Bengaluru; IIHR - Hydroscience & Engineering, Iowa City, IA; Mitsubishi Electric Research Labs, Cambridge, MA; Qualcomm, San Jose; and Technion - Israel Institute of Technology. Dr. Mishra is the Distinguished Lecturer of the IEEE Communications Society (2023-2024), IEEE Aerospace and Electronic Systems Society (AESS) (2023-2024), IEEE Vehicular Technology Society (2023-2024), IEEE Geoscience and Remote Sensing Society (2024-2025), and IEEE Future Networks Initiative (2022). He is the recipient of the IET Premium Best Paper Prize (2021), IEEE T-AES Outstanding Editor (2021), U.S. National Academies Harry Diamond Distinguished Fellowship (2018-2021), American Geophysical Union Editors' Citation for Excellence (2019), Royal Meteorological Society Quarterly Journal Editor's Prize (2017), Viterbi Postdoctoral Fellowship (2015, 2016), Lady Davis Postdoctoral Fellowship (2017), DRDO LRDE Scientist of the Year Award (2006), NITH Director’s Gold Medal (2003), and NITH Best Student Award (2003). He has received Best Paper Awards at IEEE MLSP 2019 and IEEE ACES Symposium 2019.

Dr. Mishra is Chair (2023-present) of the Synthetic Apertures Technical Working Group of the IEEE Signal Processing Society (SPS) and Vice-Chair (2021-present) of the IEEE Synthetic Aperture Standards Committee, which is the first SPS standards committee. He is the Chair (2023-2026) of the International Union of Radio Science (URSI) Commission C. He has been an elected member of three technical committees of IEEE SPS: SPCOM, SAM, and ASPS, and IEEE AESS Radar Systems Panel. He has been Senior Area Editor of IEEE Transactions on Signal Processing (2024-), Associate Editor of IEEE Transactions on Aerospace and Electronic Systems (2020-), and IEEE Transactions on Antennas and Propagation (2023-). He has been a lead/guest editor of several special issues in journals such as IEEE Signal Processing Magazine, IEEE Journal of Selected Topics in Signal Processing, IEEE Journal on Selected Areas in Communications, and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. He is the lead co-editor of three books on radar: Signal Processing for Joint Radar-Communications (Wiley-IEEE Press, 2024), Next-Generation Cognitive Radar Systems (IET Press Radar, Electromagnetics & Signal Processing Technologies Series, 2024), and Advances in Weather Radar Volumes 1, 2 & 3 (IET Press Radar, Electromagnetics & Signal Processing Technologies Series, 2024). His research interests include radar systems, signal processing, remote sensing, and electromagnetics.

IEEE Oregon July Excom

IEEE Women in Engineering Oregon Section and Hawaii Section Affinity Group are teaming up to host a dynamic panel discussion a panel discussion titled,  "Fostering Inclusive Workplaces: Building a Culture of Diversity and Equality in Engineering through Advocacy and Allyship ," to celebrate the 2024 IEEE WIE Day.

We, IEEE Women in Engineering Oregon Section and Hawaii Section AG, are dedicated to promoting diversity and inclusion within the engineering community. We believe that creating inclusive workplaces is essential for fostering a thriving and innovative industry through the advancement of AI and 4IR technologies. 

The panel discussion will explore various strategies for promoting diversity and equality in engineering for the advancement of AI and 4IR technologies, with a focus on advocacy and allyship. 

Let’s encourage each other to support the advancement of women in STEM across the globe!

Our speaker this month will be Micah Rolfe of PdM Specialists. He will be talking about maintaining and improving lab machinery for accuracy, reliability and longevity. Both EMC and Product Safety use large equipment for performing tests, and knowing how and why equipment performance degrades over time can greatly impact how we budget for and approach equipment maintenance, as well as a framework on what to plan for future installations of new equipment. 

Title: Advancing Network Sustainability - Challenges and Solution Approaches

Reducing humankind’s carbon footprint and greenhouse gas emissions to slow climate change is one of humanity’s Grand Challenges. Communication networks play a key role in addressing that challenge, enabling applications that reduce the need for physical travel as well as solutions that optimize efficiency of resource and energy usage. Examples range from teleworking to remote operations, from smarter agriculture to more energy-efficient factory floors. However, for all their benefits, networks also have a significant environmental footprint themselves that collectively rivals that of entire countries. It is thus becoming important to make networks themselves "greener" and devise solutions that allow networks to be operated in ways that make them more sustainable while continuing to meet increasing traffic demands and service requirements.
Many of today’s network sustainability improvements relate to general advances in energy efficiency of computing hardware as well as in transmission technology (antennas, lasers). While this is where arguably the biggest opportunities lie, the question arises regarding the role that other layers in the networking stack can play in advancing network sustainability. For example, can data planes be designed in ways that make them inherently more energy-efficient? What protocol advances might enable greener networking solutions? How can networks be optimized not just for QoS or utilization but for carbon and what novel tools are needed to operate networks more sustainably? How can we even properly account for energy usage and other sustainability parameters to be optimized? In which ways can network programmability, faster control loops, and AI- or intent-based networking help?
This presentation will provide a brief introduction into network sustainability and discuss some of the key challenges that solutions need to address. A number of solution approaches will be presented and opportunities for further research and engagement on this topic pointed out. The presentation will draw on some of the activities that are currently taking place in the IETF and the Internet Architecture Board's E-Impact program.


Bio: Dr. Alexander Clemm is a recognized expert in network management technology and networking software in which he has been involved throughout his career. His most recent activities have been in the areas of sustainable networking, future networking services, intent-based networking, service assurance, and telemetry. After 7+ years as a Distinguished Engineer at Futurewei and prior to that 18 years at Cisco, he recently decided to pursue an academic sabbatical and embark on new adventures. Alex has for many years been regularly serving on the committees of IEEE conferences, including NOMS/IM and NetSoft as a member of the steering committee and on several occasions as general co-chair or TPC co-chair. He is the recipient of the 2020 Salah Aidarous Award given by IEEE CNOM and IFIP TC6.6 to "an individual who has provided unremitting service and dedication to the IT and Telecommunications Network Operations and Management community." Alex has an extensive publication record including 70+ papers, 70+ patents, and 15 RFCs. He holds an M.S. degree from Stanford University and a Ph.D. from the University of Munich, Germany, both in Computer Science.

Abstract: Cities worldwide are transitioning quickly towards a low-carbon environment, high quality of living, and resource-efficient economy. Artificial Intelligence of Things (IoT) is a combination of Artificial intelligence (AI) and the Internet of Things (IoT) to enable autonomous decision-making, data analytics, and system optimization. This talk will share our experiences on AIoT for smart cities. The first work is called Green IoT, which provides artificial intelligence and open data for sustainable city development. In this work, we developed an intelligent IoT system for air pollution monitoring in Uppsala, Sweden. The second work, called Smart Water Auditing, uses IoT and machine learning to provide insights into how much water is consumed in different domestic use categories. It aims to reduce water consumption and raise awareness of people's water consumption habits. This talk will present our AIoT system designs, machine learning algorithms, implementation, and experimental results in Hong Kong and Sweden.

Bio: Dr. Edith C.H. Ngai is an Associate Professor in the Department of Electrical and Electronic Engineering at the University of Hong Kong. Before joining HKU in 2020, she was an Associate Professor in the Department of Information Technology at Uppsala University, Sweden. Her research interests include IoT, edge intelligence, smart cities, and smart health. Her co-authored papers received a Best Paper Award in QShine 2023 and Best Paper Runner-Up Awards in ACM/IEEE IPSN 2013 and IEEE IWQoS 2010. She was an Area Editor of IEEE Internet of Things Journal from 2020 to 2022. She is an Associate Editor in IEEE Transactions of Mobile Computing and IEEE Transactions of Industrial Informatics. She has been a TPC co-chair in IEEE SmartCity 2015, IEEE GreenCom 2022, and IEEE/ACM IWQoS 2024. She was a project leader of the "Green IoT" in Sweden, which was named on IVA's 100 List by the Royal Swedish Academy of Engineering Sciences in 2020. She received a Meta Policy Research Award in Asia Pacific in 2022. She is a Distinguished Lecturer in the IEEE Communication Society from 2023 to 2024.

                                  
HKU IoT Lab: https://www.eee.hku.hk/~iotlab/
                            

At the time of the event, go to https://simnet.zoom.us/j/91698723639?pwd=M05JeHAzUWlYRmVXTDdheEhzamQyUT09

Or on the Zoom app
Meeting ID: 91698723639
Meeting Passcode: 848898

IEEE SSCS Oregon Chapter June Meeting and Seminar

Join us for a talk from SSCS Distinguished Lecturer Prof. Dongsuk Jeon from Seoul National University, Seoul, South Korea, on Friday, June 21st, 2024. The seminar will be held from 11:00am to 12:00pm (PST) via a Hybrid format. Please register for the meeting link and information.

Topic:

Designing a hardware solution for deep neural network training

Abstract:

The size and complexity of recent deep learning models continue to increase exponentially, causing a serious amount of hardware overheads for training those models. Contrary to inference-only hardware, neural network training is very sensitive to computation errors; hence, training processors must support high-precision computation to avoid a large performance drop, severely limiting their processing efficiency. This talk will introduce a comprehensive design approach to arrive at an optimal training processor design. More specifically, the talk will discuss how we should make important design decisions for training processors in more depth, including i) hardware-friendly training algorithms, ii) optimal data formats, and iii) processor architecture for high precision and utilization.

Speaker Biography:

Dongsuk Jeon received a B.S. degree in electrical engineering from Seoul National University, Seoul, South Korea, in 2009 and a Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor, MI, USA, in 2014. From 2014 to 2015, he was a Post-doctoral Associate with the Massachusetts Institute of Technology, Cambridge, MA, USA. He is currently an Associate Professor with the Graduate School of Convergence Science and Technology, Seoul National University. His current research interests include hardware-oriented machine learning algorithms, hardware accelerators, and low-power circuits.

Dr. Jeon was a recipient of the Samsung Scholarship for Graduate Studies in 2009, the Samsung Humantech Thesis Contest Gold Award in 2021, and the Best Design Award at International Symposium on Low Power Electronics and Design (ISLPED) in 2021. He has served for the Technical Program Committee of the ACM/IEEE Design Automation Conference (DAC), IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), and IEEE Asian Conference on Solid-State Circuits (ASSCC). He was also a TPC subcommittee chair of DAC 2024 and TPC vice chair of ASP-DAC 2024. He is now serving as a Distinguished Lecturer of the IEEE Solid-State Circuits Society and an Associate Editor of the IEEE Transactions on Very Large Scale Integration (VLSI) Systems.