oldposts

MAN Seminar: “AI Regulation, Startup Financing, and Talent Allocation”, Junida Mulla, 10:30AM February 11 2025 (EN)

Date: 11 February 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 ” AI Regulation, Startup Financing, and Talent Allocation” by Junida Mulla Said Business School- Oxford Abstract Governments are rapidly adopting artificial intelligence (AI) regulations to balance societal risks against potential productivity gains. Using a difference-in-differences design that exploits the […]

Read More

PHYS Seminar: “Dual Insights from a Single X-ray Beam: Simultaneously AP-XPS and GIXS Measurements on Nanopattered Ceria in Hydrogen”, Baran Eren, 3:30PM February 11 2025 (EN)

Baran Eren Weizmann Institute of Science “Dual Insights from a Single X-ray Beam: Simultaneously AP-XPS and GIXS Measurements on Nanopattered Ceria in Hydrogen” Abstract Ambient-pressure X-ray photoelectron spectroscopy (AP-XPS) is the workhorse for in situ interface science studies, yet it seldom captures the simultaneous structural response that governs function. I […]

Read More

EEE Seminar: “Machine Learning and Brain Imaging: Contributions to Diagnostics, Prognostication, and Treatment Guidance”, Christos Davatzikos, 5:30PM February 9 2025 (EN)

Machine Learning and Brain Imaging: Contributions to Diagnostics, Prognostication, and Treatment Guidance Speaker: Prof. Christos Davatzikos, Univ. of Pennsylvania Date&Time: Fab. 9, 2026 -17:30 -Online https://bit.ly/BilEEESem260209 Abstract: Neuroimaging has significantly expanded our understanding of brain changes in neuropsychiatric disorders as well as in aging and neurodegenerative diseases. However, it wasn’t […]

Read More

MATH Seminar: “Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects”, Gözde Sert, 7:00PM February 9 2025 (EN)

You are cordially invited to the seminars organized by the Department of Mathematics. Speaker: Gözde Sert (Texas A&M University) “Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects” Abstract: We propose a semiparametric Bayesian methodology for estimating the average treatment effect (ATE) within the potential outcomes framework using […]

Read More