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Dr. Ali Hashemi

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Technische Universität Berlin
Machine Learning Group

Marchstraße 23, 10587 Berlin
https://web.ml.tu-berlin.de

© Hashemi

Dr. Ali Hashemi

Postdoctoral Researcher

Ali Hashemi is a research scientist at the Berlin Institute for the Foundations of Learning and Data (BIFOLD), and a postdoctoral researcher at TU Berlin (Machine Learning Group) with over six years of experience and domain expertise in machine learning, statistics, optimization, and signal processing. Previously, he worked at Uncertainty, Inverse Modeling and Machine Learning group at TU Berlin, and Brain and Data Science lab at Charité –Universitätsmedizin Berlin. His research interests lie at the intersection of Diffusion models and Explainable AI with applications to inverse problems and Neuroimaging. He received his PhD (Dr. rer. nat.) with distinction in 2022 from TU Berlin, and his MSc degree in Electrical Engineering from Sharif University of Technology in 2013.

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S Nagarajan, Stefan Haufe

Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models

November 24, 2022
https://doi.org/10.1109/tmi.2022.3224085

Chang Cai, Leighton Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan

Empirical Bayesian localization of event-related time-frequency neural activity dynamics

June 11, 2022
https://www.sciencedirect.com/science/article/pii/S1053811922004888?via%3Dihub