Previous Speakers

Alex Siow

Alex Siow, Ph.D.

Professor (Practice), School of Computing, National University of Singapore

Prof Alex Siow is currently Professor (Practice) in the department of Information Systems and Analytics of the School of Computing, National University of Singapore and a teaching staff of the Advanced Computing for Executives, an Executive Education Centre. He was former director of the Centre for Health Informatics. Alex started his career as a Structural Engineer in the HDB in 1981 and appointed the Chief Information Officer in 1989. In 2003, Alex joined the private sector and became the Senior Vice-President in StarHub Ltd. He held various portfolios including Head, Business Market, CIO and Head, Enterprise Risk Management. Alex is currently Chairman of Toffs Technologies Pte Ltd, an independent director of Tee International Ltd. He is also a director in DART Consulting and Training Pte Ltd and Wesan Future Design Pte Ltd. He is a strategic Advisor to Nityo Infotech, Alibaba Cloud and U3 Infotech. Prof Alex's expertise is in IT Governance, Enterprise Risk Management, Management of Emerging Technology and Technology Roadmap Planning. He is also active in the Fintech and blockchain community.

Naira Hovakimyan

Naira Hovakimyan, Ph.D.

W. Grafton and Lillian B. Wilkins Professor of Mechanical Science and Engineering

Naira Hovakimyan received her MS degree in Theoretical Mechanics and Applied Mathematics in 1988 from Yerevan State University in Armenia. She got her Ph.D. in Physics and Mathematics in 1992 from the Institute of Applied Mathematics of Russian Academy of Sciences in Moscow. She is currently a W. Grafton and Lillian B. Wilkins Professor of Mechanical Science and Engineering at UIUC. In 2015 she was named inaugural director for Intelligent Robotics Lab of Coordinated Science Laboratory at UIUC. She has co-authored two books, eleven patents and more than 450 refereed publications. She was the recipient of the SICE International scholarship for the best paper of a young investigator in the VII ISDG Symposium (Japan, 1996), the 2011 recipient of AIAA Mechanics and Control of Flight Award, the 2015 recipient of SWE Achievement Award, the 2017 recipient of IEEE CSS Award for Technical Excellence in Aerospace Controls, and the 2019 recipient of AIAA Pendray Aerospace Literature Award. In 2014 she was awarded the Humboldt prize for her lifetime achievements. She is Fellow and life member of AIAA and a Fellow of IEEE. She is cofounder and chief scientist of IntelinAir. Her work in robotics for elderly care was featured in the New York Times, on Fox TV and CNBC. Her research interests are in control, estimation and optimization, autonomous systems, game theory and their broad applications across various industries.

David P. Woodruff

David P. Woodruff, Ph.D.

Associate Professor of Computer Science, Carnegie Mellon University

David Woodruff has been an associate professor at Carnegie Mellon University in the Computer Science Department since 2017. Before that he was a research scientist at the IBM Almaden Research Center, which he joined in 2007 after completing his Ph.D. at MIT in theoretical computer science. His research interests include data stream algorithms, distributed algorithms, machine learning, numerical linear algebra, optimization, sketching, and sparse recovery. He is the recipient of the 2020 Simons Investigator Award, the 2014 Presburger Award, and Best Paper Awards at STOC 2013, PODS 2010, and PODS, 2020. At IBM he was a member of the Academy of Technology and a Master Inventor.

Aydogan Ozcan

Aydogan Ozcan, Ph.D.

Chancellor's Professor at UCLA, Volgenau Chair for Engineering Innovation

Dr. Aydogan Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute, leading the Bio- and Nano-Photonics Laboratory at UCLA School of Engineering and is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds >45 issued/granted patents and >20 pending patent applications and is also the author of one book and the co-author of >700 peer-reviewed publications in major scientific journals and conferences. Dr. Ozcan is the founder and a member of the Board of Directors of Lucendi Inc., Hana Diagnostics, Pictor Labs, as well as Holomic/Cellmic LLC, which was named a Technology Pioneer by The World Economic Forum in 2015. Dr. Ozcan has received major awards including the Presidential Early Career Award for Scientists and Engineers, International Commission for Optics Prize, Biophotonics Technology Innovator Award, Rahmi M. Koc Science Medal, International Photonics Society Early Career Achievement Award, Army Young Investigator Award, NSF CAREER Award, NIH Director’s New Innovator Award, Navy Young Investigator Award, IEEE Photonics Society Young Investigator Award and Distinguished Lecturer Award, National Geographic Emerging Explorer Award, National Academy of Engineering Dr. Ozcan is also listed as a Highly Cited Researcher by Web of Science, Clarivate.
http://innovate.ee.ucla.edu/welcome.html
http://org.ee.ucla.edu

Title of Speech: Deep Learning-enabled Computational Microscopy and Sensing

Tharmalingam Ratnarajah

Tharmalingam Ratnarajah, Ph.D.

Professor in Digital Communications and Signal Processing, Institute for Digital Communications, University of Edinburgh

Prof. Tharmalingam Ratnarajah is currently working as a Professor in Digital Communications and Signal Processing with the Institute for Digital Communications, University of Edinburgh, Edinburgh, UK. He was the Head of the Institute for Digital Communications during 2016-2018. His research interests include signal processing and information-theoretic aspects of beyond 5G cellular networks, full-duplex radio, mmWave communications, random matrix theory, big data analytics and machine learning for wireless networks, statistical and array signal processing, physical-layer secrecy and interference alignment. He has published over 400 Peer-reviewed papers in these areas and holds four US patents. He was the coordinator of the European Union (EU) projects HARP (4.6M€) in the area of highly distributed MIMO and ADEL (3.7M€) in the area of licensed shared access. He was also the coordinator of the European Union Future and Emerging Technologies project CROWN (3.4M€) in the area of cognitive radio networks and HIATUS (3.6M€) in the area of interference alignment. Prof Ratnarajah was an associate editor of IEEE Transactions on Signal Processing, 2015-2017 and Technical co-chairs, The 17th IEEE International Workshop on Signal Processing advances in Wireless Communications, Edinburgh, UK, 3-6, July 2016. Prof. Ratnarajah is a member of the American Mathematical Society and Information Theory Society and a Fellow of Higher Education Academy (FHEA). He has supervised 16 PhD students and 21 post-doctoral research fellows and raised $11.0+ million (USD) of research funding.

Title of Speech: Transceiver Design for FD Cellular – MIMO Radar Coexistence

Kim, Hosung

Kim, Hosung, Ph.D.

Assistant Professor of Neurology, University of Southern California

Hosung Kim is an assistant professor of Neurology at University of Southern California. He is a member of IEEE and IEEE Engineering in Medicine and Biology Society (EMBS). His research focus on developing an image processing tools and analytic platform that assesses aging of brain structures and their structural and functional networks as well as predicting the eventual long-term outcome for neurodevelopment and quantifying the progression of neurodegeneration. His group has developed various methods to quantify various aspects of brain anatomical and networking variability using multimodal neuroimaging data including structural/functional MRI, diffusion tensor imaging and EEG. Prof. Hosung has contributed significantly to the studies related to brain aging with his expertise on machine learning and deep learning. He has assessed imaging evidence of pathophysiology and provided a better understanding of progression in various sleep disorders including sleep apnea, insomnia, and narcolepsy using various quantitative methods on multimodal brain MRI.

Title of Speech: Motion Synthesis and Retrospective Correction for Motion Artifact on Brain MRI

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