Wireless Bioelectronics

Ada Poon

Associate Professor
Department of Electrical Engineering
Stanford University

Member, Bio-X

Member, Cardiovascular Institute

Member, Wu Tsai Neurosciences Institute

Abstract: Miniaturized electronics, when placed on or inside the body, can wirelessly monitor and modulate internal activity and thus hold promise as a new class of treatments for disorders. The development of such bioelectronic medicines requires wireless interfaces that are tiny and operate deep in a complex electromagnetic environment. In this talk, I will describe a new method for electromagnetic energy transfer that exploits near-field interactions with biological tissue to wirelessly power tiny devices anywhere in the body, including the heart and the brain. I will discuss engineering and experimental challenges to realizing such interfaces, including a pacemaker that is smaller than a grain of rice, a fully internalized neuromodulation platform, a fat burning device, and a device for on-demand treatment of brain tumors. In addition to implantable bioelectronics, I will also discuss engineering and experimental challenges to realizing wireless interface for wearable devices such as a penny-sized EEG recorder for month-long continuous monitoring. These devices, as a whole, can act as bioelectronic medicines, capable of precisely monitoring and modulating local activity, that may be more effective treatments than drugs, which act globally throughout the body.

BIO: Ada received her Ph.D. degree from the EECS department at the University of California at Berkeley. Upon graduation, she spent some time in industries, working at Intel and SiBeam architecting reconfigurable processors for wireless systems and millimeter-wave MIMO transceivers. After two years in industries, she returned to academic and joined the faculty of the ECE department at the University of Illinois, Urbana-Champaign. Since then, she has changed her research direction from information theory to integrated biomedical systems. In 2008, she joined the faculty of the Department of Electrical Engineering at Stanford University. She received the Okawa Foundation Research Grant in 2010 and NSF CAREER Award in 2013. She was a Terman Fellow at Stanford University and a Chan Zuckerberg Biohub senior investigator.

Data Science for Social Good: Opportunities and Challenges

Dr. Nuria Oliver

Chief Data Scientist at Data-Pop Alliance

Chief Scientific Advisor at the Vodafone Institute

Co-founder and Director - Institute of Humanity-centric AI (Alicante ELLIS Unit)

Co-founder and Vicepresident of ELLIS (The European Laboratory for Learning and Intelligent Systems)

BIO: Dr. Nuria Oliver is co-founder and Director of the “Institute of Humanity-centric AI (Alicante ELLIS Unit); Chief Data Scientist at Data-Pop Alliance, Chief Scientific Advisor at the Vodafone Institute and co-founder and vicepresident of ELLIS (The European Laboratory for Learning and Intelligent Systems). She is a Telecommunications Engineer from the UPM and holds a PhD in Artificial Intelligence from the Massachusetts Institute of Technology (MIT).

She has over 25 years of research experience in the areas of human behavior modeling and prediction from data and human-computer interaction. She has been a researcher at Microsoft Research (Redmond, WA), the first female Scientific Director at Telefonica R&D for over 8 years and the first Director of Research in Data Science at Vodafone globally (2017-2019). Between March 2020 and April 2022 she served as Commissioner for the President of the Valencian Region on AI Strategy and Data Science to fight COVID-19. As an advisor, Dr. Oliver has been/is an advisor to several governments and the European Commission on issues related to Artificial Intelligence. She has been a member of a Global Future Council at the World Economic Forum and is a member of the Theme Advisory Group at the European Central Bank to propose the theme of the new euro banknotes. She is a member of the board of trustees of TTIC, president of the board of trustees at UNED and has been a member of the board of Bankia.

Her work in the computational modeling of human behavior using Artificial Intelligence techniques, human-computer interaction, mobile computing and Big Data analysis - especially for the Social Good is well known with over 180 scientific publications that have received more than 23000 citations and a 11 best paper award nominations and awards. She is co-inventor of over 40 filed patents and she is a regular keynote speaker at international conferences.

Dr. Oliver's work has been recognized internationally with numerous awards. She is the first Spanish scientist to receive the MIT TR100 (today TR35) Young Innovator Award (2004) and the Rising Talent award by the Women’s Forum for the Economy and Society (2009). She has been awarded Data Scientist of the Year in Europe (2019), Engineer of the Year Award by the COIT (2018), the Medal for Business and Social Merit by the Valencian Government (2018), the European Digital Woman of the Year award (2016), the Spanish National Computer Science Angela Robles Award (2016), the Abie Technology Leadership Award (2021) and the King James I Award on New Technologies (2021). She has been named one of the top 11 Artificial Intelligence influencers worldwide by Pioneering Minds (2017). Nuria is the only Spanish researcher recognized by the ACM as Distinguished Scientist (2015) and Fellow (2017) at the same time. She is also a Fellow of the IEEE (2017) and the European Association for Artificial Intelligence (2016). She holds an honorary doctorate from the University Miguel Hernandez.

Dr. Oliver firmly believes in the value of technology to improve the quality of people, both individually and collectively, and dedicates her professional life to achieving it. She is also passionate about scientific outreach. Hence, she regularly collaborates with the media (press, radio, TV) and gives non-technical talks about science and technology to broad audiences, and particularly to teenagers, with a special interest on girls.Her talks on WIRED, TEDx and similar events have been viewed thousands of times.

Twitter: @nuriaoliver

A Decade of Research in Millimeter-Wave Networking: Progress and Perspectives

ACM Rockstar Award Keynote

Xinyu Zhang

Associate Professor
Department of Electrical and Computer Engineering
University of California San Diego

Abstract: Over the past decade, millimeter-wave (mmWave) wireless technology has emerged as a promising solution to fulfill the bandwidth demands of next-generation networks. In this talk, I will provide a retrospective overview of my group's decade-long research efforts to enable and advance mmWave networking. I will begin by sharing our experience in developing innovative software-radio platforms to unlock the flexibility of phased arrays for mmWave experimentation. I will then discuss our research contributions to overcoming the key obstacles in seamless mmWave connectivity -- from blockage, mobility to limited coverage. Finally, I will conclude by discussing our ongoing work on passive mmWave reflectors and future networking paradigms they may enable.

BIO: Xinyu Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California San Diego. He received his Ph.D. in Computer Science and Engineering from the University of Michigan in 2012. His research interest lies in wireless networking and ubiquitous sensing, and more specifically in (i) next-generation wireless network architectures and protocols; (ii) ubiquitous systems that leverage wireless signals to sense micro-locations and micro-activities with near-vision precision. He is the recipient of two ACM MobiCom Best Paper Awards (2011 and 2020), Communications of the ACM Research Highlight (2018), ACM SIGMOBILE Research Highlight (2018), NSF CAREER Award (2014), Google Research Award (2017, 2018, 2020), and Sony Research Award (2018, 2020). He served as the TPC chair for ACM MobiCom 2019, IEEE SECON 2017, co-chair of the NSF millimeter-wave research coordination network, and Associate Editor for IEEE Transactions on Mobile Computing from 2017 to 2020.