Scholar
Mohammad Mohammadi Amiri
Google Scholar ID: jpJy6SEAAAAJ
Assistant Professor at Rensselaer Polytechnic Institute
Citations & Impact
Citations
2,866
H-index
20
i10-index
23
Publications
20
Co-authors
40
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the Best Ph.D. Thesis award from the Department of Electrical and Electronic Engineering at Imperial College London during the academic year 2018-2019; recipient of the IEEE Information Theory Chapter of UK and Ireland in the year 2019; his paper titled 'Federated learning over wireless fading channels' received the IEEE Communications Society Young Author Best Paper Award in 2022.
Research Experience
- Appointed as an Assistant Professor in the Department of Computer Science at RPI in Fall 2023. Current research focuses on optimizing the resource-intensive process of fine-tuning LLMs, improving memory efficiency during LLM inference, and ensuring these models behave in ways that are consistent with intended goals and ethical standards.
Education
- Received the Ph.D. degree in Electrical and Electronic Engineering from Imperial College London in 2019; received the M.Sc. degree in Electrical and Computer Engineering from the University of Tehran in 2014 with the highest rank; and the B.Sc. degree in Electrical Engineering from the Iran University of Science and Technology in 2011, also with the highest rank.
Background
- His primary research interests include large language models, data valuation, federated learning, and deep learning. His research is mainly dedicated to advancing artificial intelligence through the strategic use of data, aiming to create systems that benefit everyone.
Miscellany
- Motivated Ph.D. students with strong mathematical and analytical skills are encouraged to apply, especially those interested in Machine Learning and comfortable with programming.
