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Events for the 5th week of July
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Alfred E. Mann Department of Biomedical Engineering
Mon, Jul 29, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dean Ho, Ph.D., Provost, Chair Professor, Head of Department of Biomedical Engineering
Talk Title: Stories Over Snapshots: Optimizing Health with Digital Platforms
Abstract: This talk will highlight our human trial programs at the Institute for Digital Medicine (WisDM) at the NUS Yong Loo Lin School of Medicine. Our platforms do not use population-based Big Data to train algorithms to treat individuals. Instead, we use only a subject’s own data to manage only their own care - longitudinally. Importantly, we have also developed implementation strategies that span user engagement through co-design that have empowered the scale-up of our platforms.
Our platforms have led to lifesaving outcomes and are among the only approaches globally that have been prospectively used for treatment applications. We have also harnessed our approaches to address health optimization, understanding how a combination of health interventions can be used to drive changes in biomarkers to drive and sustain behavior change.
Implications of this platform can potentially be applied to fields such as population health, healthy aging, digital longevity medicine, athletic performance optimization, and other domains.
Biography: Prof. Ho and collaborators manage a portfolio of over 10 prospective, interventional human clinical trials. His team successfully developed and validated CURATE.AI, a powerful artificial intelligence platform that personalizes human treatment for a broad spectrum of indications ranging from oncology to digital therapeutics and infectious diseases, among others. Prof. Ho is an elected Fellow of the US National Academy of Inventors (NAI), American Association for the Advancement of Science (AAAS), the American Institute for Medical and Biological Engineering (AIMBE), and the Royal Society of Chemistry. He was also named to the HIMSS Future50 Class of 2021 for his internationally recognized leadership in digital health. Prof. Ho is a Co-Chair of the World Health Organization (WHO) Working Group for the regulation of AI for Health.
Host: Peter Wang
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Carla Stanard
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PhD Dissertation Defense - Taoan Huang
Thu, Aug 01, 2024 @ 03:30 PM - 05:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Improving Decision-Making in Search Algorithms with Machine Learning for Combinatorial Optimizations
Date and Time: August 1st, 2024: 3:30p - 5:30p
Location: EEB 349
Committee Members: Sven Koenig, Bistra Dilkina, Jyotirmoy Deshmukh, Meisam Razaviyayn, Peter Stuckey
Abstract: Designing algorithms for combinatorial optimization problems (COP) is an important and challenging task since it concerns a wide range of real-world problems, such as vehicle routing, path planning, and resource allocation problems. Most COPs are NP-hard to solve, and many research algorithms have been developed for them in the past few decades. Decision-making, such as partitioning or pruning the search space and prioritizing exploration in the search space, is crucial to the efficiency and effectiveness of the search algorithms. Many of those heavily rely on domain expertise and human-designed strategies.
In this thesis, we hypothesize that one can leverage machine learning frameworks to improve decision-making strategies in different search algorithms for combinatorial optimization problems. We validate the hypothesis on the problems of multiagent path finding and solving mixed integer linear programs, introducing different machine learning techniques to advance a few state-of-the-art optimal and heuristic search algorithms for the two problems.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 349
Audiences: Everyone Is Invited
Contact: Taoan Huang
