Professor Amir Ali Ahmadi, in collaboration with faculty from Princeton Math & MAE, UT Austin, and Northeastern, has won a 5-year multi-million-dollar Multidisciplinary University Research Initiative (MURI) Award for the project titled "Verifiable, Control-Oriented Learning on the Fly". The proposal was the winner of the category "Physically Viable Learning for Control of Autonomous Dynamical Systems." The goal of the project is to learn the behavior of a dynamical system...
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April 16, 2018
The next generation of machine learning technologies for healthcare must confront unique technical challenges arising from this domain, said Samory K. Kpotufe, Assistant Professor of Operations Research and Financial Engineering, Princeton University. “Predictive tools have to be simple enough to yield interpretable health recommendations but must also achieve high accuracy. So, there’s a tension between...
April 12, 2018
Professor Misha Shkolnikov will give one of the plenary lectures at the 2018 Seminar on Stochastic Processes to be held this year at Brown University in Providence, Rhode Island. This seminar is the yearly who is who gathering of probabilists. It was created in 1981 by Professor Erhan Cinlar.
April 11, 2018
Professor Shkolnikov has won the SEAS Spring Innovation Award for his proposal entitled “Particle models of neural synchronization”. The proposed research “will address the mathematical modeling of neural synchronization”. While neuroscientists are researching the connections between neural synchronization and arousal, attentional selection, perceptual integration, and working memory among others, the main goal of this project is to “quantify the relationship between the...
April 9, 2018
Professor Mengdi Wang has received the Google Faculty Award for her proposal entitled “Primal-Dual Reinforcement Learning and Complexity of Markov Decision Process.” Her research in this area focuses on the foundational complexity of Markov decision process and dimension reduction methods for high-dimensional reinforcement learning. On the practical side, she is actively collaborating with Google AI and Microsoft Research on developing tractable deep reinforcement learning...
February 22, 2018
Professor Fan has received a new National Institutes of Health grant to develop and use statistics and machine learning techniques, to discover the potential genes and biomarkers related to the pathogenesis of Alzheimer’s Disease (AD). The scientific goal is to develop and apply statistical machine learning methods mainly to the study of AD, a chronic neurodegenerative disease.
As a critical issue that plagues our population today, AD demands immediate attention from...
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