Nik Sultana, Illinois Institute of Technology, Computer Science. November 23, 2021. 12:45 – 1:45 pm.John T. Rettaliata Engineering Center, Room 106. In this talk I’ll describe my research targeting data networks that are used in computational science and cloud datacenters. An exciting trend in this domain is that the network…
Yan Yan, Multi-task and Multi-modal Learning for Image and Video Scene Understanding
Yan Yan, Illinois Institute of Technology, Computer Science. November 23, 2021. 12:45 – 1:45 pm.John T. Rettaliata Engineering Center, Room 106. Image and video scene understanding is to acquire the information about What, When, Where, Who, How, and Why for the situation that captures the attributes and structure of a…
Kai Shu, Some Challenges in Combating Disinformation on Social Media
Kai Shu, Illinois Institute of Technology, Computer Science. November 16, 2021. 12:45 – 1:45 pm.John T. Rettaliata Engineering Center, Room 106. In recent years, fake news has become a global phenomenon, particularly so during the pandemic, COVID-19. The wide dissemination of fake news can have detrimental societal effects on individuals…
Baisravan HomChaudhuri, Safe and Energy-Efficient Vehicle Control
Baisravan HomChaudhuri, Illinois Institute of Technology, MMAE. November 16, 2021. 12:45 – 1:45 pm.John T. Rettaliata Engineering Center, Room 106. Decision making for automated systems in the presence of uncertainty is a challenging yet ubiquitous problem (e.g., automated vehicle control) that has significant potential for societal impact. For example, autonomous…
Binghui Wang, Trustworthy Graph Representation Learning
Binghui Wang, Illinois Institute of Technology, Computer Science.November 9, 2021. 12:45 – 1:45 pm.John T. Rettaliata Engineering Center, Room 106. Learning with graphs has attracted significant attention recently. Existing graph representation learning methods have achieved state-of-the-art performance on various graph-related tasks such as node classification, graph classification, link prediction, etc. However,…
Yuanbing Mao, Synthesis and Applications of Luminescent Nanoparticles
Yuanbing Mao, Illinois Institute of Technology, Chemistry.November 9, 2021. 12:45 – 1:45 pm.John T. Rettaliata Engineering Center, Room 106. Scaling materials to nanoscale dimensions substantially alters their phase stabilities and interfacial activities with tremendous consequences for the manifestation of their unique physical phenomena and application potentials in various fields. Synthesis…
Alpha Lee, COVID Moonshot – Open Science Discovery of SARS-CoV-2 Mpro Inhibitors with Machine Learning and Crowdsourcing
Alpha Lee, University of Cambridge.March 16, 2021. 3:35 – 4:50 pm.A Joint Virtual Seminar with IIT’s Chemistry Colloquium on Zoom. COVID Moonshot is an international consortium aiming to discover patent-free oral antiviral against SARS-CoV-2, targeting the main protease. Operating under an open science ethos, we make all data and structures publicly…
James Hyman, Quantifying Uncertainty in Predicting the Spread of Epidemics
James Hyman, Tulane University. January 26, 2021. 12:45 – 1:45pm. A Virtual seminar on Blackboard Collaborate.
Quanquan Gu, Epidemic Model Guided Machine Learning for COVID-19 Forecast
Quanquan Gu, UCLA.November 17, 2020. 12:45 – 1:45pm.A Virtual Seminar on Blackboard Collaborate. The novel coronavirus disease (COVID-19) has emerged as a global pandemic, and caused over 910,000 deaths in the world. In this talk, I will introduce our project (https://covid19.uclaml.org) using an epidemic model-guided machine learning approach to understand…
Nir London, Covid-Moonshot: Crowdsourcing for a COVID-19 cure
Nir London, Weizmann Institute of Science, Israel.November 10, 2020. 3:35-4:50 pm.A Joint Virtual Seminar with IIT’s Chemistry Colloquium on Blackboard Collaborate. COVID-19, caused by SARS-CoV-2, lacks effective therapeutics. Additionally, no antiviral drugs or vaccines were developed against the closely related coronavirus, SARS-CoV-1 or MERS-CoV, despite previous zoonotic outbreaks. To identify…