Bereyhi, Ali
Assistant Professor

Biography

Ali Bereyhi received his PhD with distinction in 2020 from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) in Germany. From 2020 to 2023, he was a Postdoctoral Research Associate and Lecturer at the Institute for Digital Communications (IDC) at FAU, teaching and researching in areas of statistical learning theory, information theory and signal processing. From 2023 to 2024, he was a researcher at the Wireless Computing Lab in ECE, with a focus on distributed machine learning.

Bereyhi was selected as best lecturer in the Faculty of Engineering at FAU for his course lectures on “Information Theory and Coding.” His grant proposal entitled “Bayesian Learning and Model Fitting via Nonlinear Models” won the Walter Benjamin Fellowship Award from the German Research Foundation (DFG). He has received several other recognitions for his teaching and research during his doctoral study and postdoctoral fellowships. His areas of expertise lie within the intersections of machine learning, statistical signal processing, information theory and statistical physics.

Memberships/Awards

• German Research Foundation (DFG) Walter Benjamin Postdoctoral Fellowship Award for “Bayesian Learning and Model Fitting via Nonlinear Models,” hosted by Princeton University, 2023
• Best Lecturer Award for the course “Information Theory and Coding,” Faculty of Engineering at FAU, 2022
• Emerging Talents Initiative Award for “Encryption via Random Gaussian Fields,” 2021
• Best Tutorial Lecture Award for “Tutorials on Information Theory and Coding,” FAU, 2019 and 2020
• Goldener IGEL Publication Award, FAU, 2019
• Best IGEL Presenter Award for presentation on “Oversampled Adaptive Sensing,” FAU, 2018