Catherine Fang (Professor, Carnegie Mellon University)
Bio : Dr. Fang is Distinguished Service Professor at Carnegie Mellon University. She is also a seasoned entrepreneur with 20 years of experience in the software industry. Dr. Fang’s research and product expertise lies in personalized healthcare and clinical trials, AI-based therapy for Autism Spectrum Disorder (ASD), and data mining on digital audience behavior profiling and targeting. With multiple US patents to her name, she also serves as an associate editor for the IEEE reliability society. Dr. Fang’s entrepreneurial spirit has led her to co-found two companies, including AiCare, a cutting-edge AI and cloud-powered Healthcare & Medical platform, and RepliCare, an AI lab to provide immersive therapy for autistic individuals. Prior to this, Dr. Fang served as Global/Sr. Product Manager and Architect at LinkedIn, Yahoo, Bluekai (acquired by Oracle), and Sun Microsystems.

Talk for Title: Democratize and Personalize Healthcare via Wearables and Generative AI

Abstract: Personalized healthcare moves at the pace of technology. Wearable sensors have unlocked multidimensional biomarkers, empowering individuals to take proactive measures towards better health and better life. The latest breakthroughs of Generative AI facilitate individualized intervention therapies. Furthermore, synthesizing time series data allows public research and data augmentation at large. The benefits and risks are carefully balanced.

Wolfgang Bein (Professor, University of Nevada, Las Vegas)

Bio : Wolfgang Bein holds a Ph.D. (Dr. rer. nat.) from the University of Osnabrück, Germany. He has been on the faculty of Duke University, the University of New Mexico, the University of Texas at Dallas, and was on the technical staff of American Airlines, before joining the faculty at the University of Nevada, Las Vegas. At UNLV he is a Professor of Computer Science and co-Director of the Center for Information Technology and Algorithms. He recently concluded a sabbatical at the Donald Bren School of Information and Computer Sciences of the University of California, Irvine.

Title for Talk : Online competitive techniques for the integration of renewable energy into the smart grid

Abstract: Power-down mechanisms are common in electronic control, such as power optimization for hand-held devices, laptop computers, work stations and data centers. But such models are also useful to handle power-down phenomena in a future electrical grid, which predominantly relies on renewable energy. In the traditional energy grid, when renewables produce a surplus of energy, such surplus generally does not affect the operation of traditional power plants. Instead, renewables are throttled down or the surplus is simply ignored. But in the future when the majority of power is generated by renewables this is not tenable. Rather, the output of traditional power plants must be switched on or throttled down in response to less predictable renewable supplies.

Online competitive models have the advantage that little statistical insight is needed. We discuss this approach and give a number of results for the power-down problem. It could be argued that a game-theoretic approach which assumes an omniscient adversary may not be so realistic for modeling the grid, however this kind of modeling gives performance guarantees in the absence of reliable forecasting of solar and wind energy. In order to guarantee a resilient grid, worst-case assumptions must be taken into account.

Some of the work presented in this talk was funded by the by the Panasonic Corporation of Japan and the National Science Foundation.




         Shangping Ren (Professor, San Diego State University, California)

Bio: Professor Shangping Ren received her doctoral degree in Computer Science from the University of Illinois at Urbana-Champaign in 1997.  After her doctoral study, she worked in the software industry for over five years before she joined the Illinois Institute of Technology in Chicago as an Assistant Professor in 2003.  She was promoted to Associate Professor and Full Professor in 2009, and 2015, respectively.  She joined San Diego State University in December 2017 as a Full Professor and the Department Chair.  She was the National Science Foundation CAREER awardee.  Her research interests are in the areas of real-time distributed systems, cyber-physical systems, smart-connected communities, software engineering, and resource management to ensure system quality of services and safety.  Her research group website is:
Title for Talk : Reducing Preventable Medical Errors with Computer Systems and Beyond
Abstract: Preventable medical errors are caused by unintended/unjustified deviation from applicable medical best practices. Those errors are highest in Intensive Care Unit (ICU) and Emergency Department (ED), because patients in ED/ICU are seriously ill and the time to diagnosis and treat is short.  There are many reasons that can contribute to these types of errors. Among them, one is implicit or unspecified assumptions and the other is lack of experiences, which is especially the case in rural hospitals. In this talk, I will share a framework for managing unspecified assumptions in safety-critical cyber-physical systems and a framework to have domain experts in the loop in providing case specific process model.

                        Matthew K. Farrens (Professor, University of California, Davis)

Bio: Prof. Farrens got his PhD in Electrical and Computer Engineering from the University of Wisconsin-Madison in 1989, and has been a professor in the Computer Science department at UC-Davis since then. He won an NSF Young Investigator award in 1992, and is a Senior Member of both ACM and IEEE.  He has served several terms as the chair of the IEEE Technical Committee on Microarchitecture, two terms as the Secretary/Treasurer of ACM SIGARCH, and is in the Annual International Symposium on Microarchitecture (MICRO) Hall of Fame.  He was also chair of the Computer Science department from 2017-2022. 

Prof. Farrens is interested in all aspects of computer architecture, but primarily in the architecture and design of high-performance processor cores, with an emphasis on the interconnection/communication layer.  Professor Farrens is also interested in high-speed scientific processing, in particular issues related to the memory system.

Title for Talk : The importance of understanding the commodity server in networked computer systems

Abstract: From single cores to heterogeneous multicores, servers have evolved dramatically over the years. In this talk I will discuss the evolution and explain why and how understanding and exploiting the architecture of the end system can lead to improved performance and lowered power consumption in networked systems.

                  Forouzan Golshani (Professor, California State University, Long Beach)

Bio: Forouzan Golshani is a Fellow of the National Academy of Inventors, a Lifetime Fellow of IEEE and a Fellow of AAIA. He served as Dean of the California State University – Long Beach (CSULB) College of Engineering from 2007 to 2020. Currently, he is a Commissioner on the Los Angeles County Aviation Commission and a Professor of Computer Science and Engineering at CSULB. Previously, he was NCR Distinguished Professor and Chairman of the Computer Science and Engineering Department at Wright University in Ohio, a Center Director and Professor at Arizona State University, and a Research Fellow at Imperial College in London. The author of more than 200 articles, Golshani was previously editor in chief of IEEE MultiMedia, and an editorial board member of IEEE Transactions on Multimedia and several other scholarly publications. He has registered 10 U.S. and two international patents, and has founded several successful startups.

Title For Talk: Self-organizing inclusive networks: The key to global food sufficiency

Abstract:  The concept of securing value tokens on a decentralized public ledger by means of a Proof of Work (PoW), i.e., the technology that innovated the cryptocurrency Bitcoin, can offer exceptional benefits in virtually every sector of business and industry. Known as blockchains, these distributed information systems can offer tamper-proofing, decentralized consensus and control, and transaction transparency.

By correlating the global calorie gap, measured as calories produced minus calories consumed, and population growth around the world, we can get a glimpse of the inevitable tipping point of food shortage. Whereas food production involves numerous sectors such as growers/packers/shippers, food importers, food distributors, retail and grocery, restaurant operators and consumer goods outlets, data sharing across these industries is a crucial necessity. A blockchain-inspired IoT architecture can not only provide a platform for data sharing but also contribute to increased efficiency, clearer transparency, reduced possibility of tampering, and improved safety of the overall food supply chain.

This talk will examine networking requirements of such a system from an architectural and scalability perspective.

                       Jenna Butler (Principal Applied Research Scientist, Microsoft, USA)

Bio: Dr. Butler is a Senior Applied Research Scientist in E+D studying developer wellbeing and productivity. Currently she is working with the Human Empathy and Understanding (HUE) lab studying tech worker wellbeing, stress and work life balance.

  She received her PhD in Computer Science from Western University in Canada in 2015. Her  work examined cancer simulation using cellular automata with a focus on the Hallmarks of Cancer and combination therapy. She has always been interested in interdisciplinary studies and the intersection of different fields – such as biology and computer science, social science and technology, etc.

Talk Of Title: The Future of Work: AI, developers, and leading like a scientist

Abstract: Work has changed dramatically over the last 3 years. First, the COVID 19 pandemic forced the world to re-evaluate when in person work mattered. Large swaths of the workforce started working from the couch, and somehow, work was still done. As the pandemic became more controlled, people returned to a new world of work – one with hybrid work and new social norms. As people adapted to hybrid work, a new technological shift emerged: the development of LLMs. AI models such as ChatGPT are once again disrupting how we work, but this time, its not a global catastrophy – it’s the culmintation of decades of research that holds the power to improve productivity around the world. How is this new world of work changing? How are developers experiencing the changes? And how can we all use what we know to lead like scientists into the new world of work?

            Goutam Chattopadhyay (Senior Research Scientist, Jet Propulsion Laboratory, NASA, USA)

BioGoutam Chattopadhyay is a Senior Scientist at the NASA’s Jet Propulsion Laboratory (JPL), California Institute of Technology and a Visiting Professor at the California Institute of Technology (Caltech), Pasadena, USA. He has been a BEL Distinguished Visiting Chair Professor at the Indian Institute of Science, Bangalore, India and an Adjunct Professor at the Indian Institute of Technology, Kharagpur, India. He received the Ph.D. degree in electrical engineering from the California Institute of Technology (Caltech), Pasadena, in 2000. He is a Fellow of IEEE (USA) and IETE (India), Track Editor of the IEEE Transactions on Antennas and Propagation, an IEEE Distinguished Lecturer, and the President-Elect for IEEE MTT-S for 2024.

His research interests include microwave, millimeter-wave, and terahertz receiver systems and radars, and development of space instruments for the search for life beyond Earth.

He has more than 350 publications in international journals and conferences and holds more than twenty patents. He also received more than 35 NASA technical achievement and new technology invention awards. He received the NASA-JPL People Leadership Award in 2023, IEEE Region-6 Engineer of the Year Award in 2018, Distinguished Alumni Award from the Indian Institute of Engineering Science and Technology (IIEST), India in 2017. He was the recipient of the best journal paper award in 2020 and 2013 by IEEE Transactions on Terahertz Science and Technology, best paper award for antenna design and applications at the European Antennas and Propagation conference (EuCAP) in 2017, and IETE Prof. S. N. Mitra Memorial Award in 2014 and IETE Biman Bihari Sen Memorial Award in 2022.

Title for Talk: NASA Technologies to Explore the Universe

Abstract: Even with the tremendous progress over the last centuries to unlock the mysteries of this universe, still our knowledge is very limited. The role of scientists and engineers is to peer into the deepest and furthest part of the space and make sense of the data that we collect. When we use electromagnetics as a vehicle to decipher the whispers of unknown, it turns out that terahertz part of the spectrum is vital in that effort as universe is brightest at these frequencies, if we discount the cosmic microwave background (CMB) radiation which is ubiquitous.

Space exploration is expensive and use heavy and power-hungry instruments. However, in recent years, space agencies across the globe have been actively looking into ultra-compact instruments to fly on small satellite platforms to have multiple flight missions with innovative way of getting science data. The idea is to use CubeSats – which are shoe-box size satellites – and SmallSats as useable platforms to supplement main missions as well as using them for standalone scientific missions. The size of the CubeSats is referred in the unit of ‘U’, where one ‘U’ is a cube with 10 cm x 10 cm x 10 cm. These CubeSat/SmallSats based flights enable advancing proof of concept instruments to higher technology readiness level (TRL) by flying them in relevant environment and allow to have multiple targeted flights with scientific data returns.

Developing ultra-compact scientific payloads for these novel platforms poses a host of challenges. The instruments for these platforms need to be highly compact, ultra-low power, and use novel antennas as traditional reflector antennas are not practical.

We have been developing high resolution spectrometers, radiometers, and radars at millimeter-wave and terahertz frequencies on CubeSat and SmallSat platforms for astrophysics, planetary science, and Earth science applications. In this presentation, we will present an overview of the state of the instrumentation development for CubeSat platforms and the design and implementation challenges and the science mysteries they will unlock. Innovative packaging solutions, novel antenna technology, and low-power backend solutions will also be presented. We will show that CubeSats and SmallSats will play a key role in future scientific missions to space and also, they will find increasing applications in commercial communication and other endeavors.

The research described herein was carried out at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA, under contract with National Aeronautics and Space Administration.


Important Deadlines

Full Paper Submission:30th November 2023
Acceptance Notification:8th December 2023
Final/Camera-ready Paper Submission:20th December 2023
Early Bird Registration:17th December 2023
Presentation Submission:26th December 2023
Conference:8 - 10th January 2024
Full Paper Submission: 9th November 2023
Acceptance Notification: 30th November 2023
Final Paper Submission: 11th December 2023
Early Bird Registration 16th December 2023
Presentation Submission: 26th December 2023
Conference: 9 - 10th October 2023

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