Momin Abbas

Momin Abbas Ph.D. Student Department of Electrical, Computer, and Systems Engineering Rensselaer Polytechnic Institute E-mail: abbasm2@rpi.edu Google Scholar GitHub

About me

My background is in Signal Processing and Deep learning

My current research focuses on developing machine learning algorithms for vision and text foundation models, aiming to enhance their performance on downstream tasks with minimal data (few-shot/zero-shot).

Education

• Rensselaer Polytechnic Institute, Troy, NY: Ph.D., Electrical Engineering, 2021 -

• National University of Sciences and Technology, Islamabad, Pakistan: BEE, Electrical Engineering, 2016 - 2020

Recent news

• Sep 2024: Our paper is accepted to IEEE GLOBECOM 2024
  Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning

• July 2024: Got accepted to the Human-aligned AI Summer School (HAAISS 2024), Prague, Czech Republic

• May 2024: I commenced my Research Internship at IBM Research in Yorktown Heights, New York, working under the supervision of my manager, Raya Horesh, and receiving invaluable mentorship from Mikhail Yurochkin and Muneeza Azmat.

• Apr 2024: Our paper is accepted to IEEE SAM 2024
  Byzantine-resilient Bilevel Federated Learning

• Feb 2024: Invited talk on our recent Calibration work at IBM Research (Yorktown Heights).

• Jan 2024: Our paper is accepted to AISTATS 2024
  Enhancing In-context Learning via Linear Probe Calibration

• Oct 2023: I am honored to receive Rensselaer's Founders Award of Excellence, which recognizes top 1% of RPI students annually.

• May 2023: I commenced my Research Internship at IBM Research in Yorktown Heights, New York, working under the supervision of my manager, Horst Samulowitz, and receiving invaluable mentorship from Yi Zhou, Parikshit Ram, Nathalie Baracaldo, and Theodoros Salonidis.

• Feb 2023: Our paper is accepted to ICASSP 2023
  A Nested Ensemble Method to Bilevel Machine Learning

• July 2022: Got accepted to the Human-aligned AI Summer School (HAAISS 2022), Prague, Czech Republic

• May 2022: Our paper is accepted to ICML 2022
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning