Sabbir Ahmed

Third Year PhD Student in Computer Science
School of Computing
State University of New York at Binghamton

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About

Hi, I'm Sabbir Ahmed, a third-year CS PhD student at SUNY Binghamton. My research focuses on the Security and Efficiency of Deep Learning, with extensive experience in both Computer Vision and Natural Language Processing (NLP).

Before starting my PhD, I completed my MS in EE from the University of California Riverside and my BSc in EEE from Bangladesh University of Engineering and Technology. I also worked as a Machine Learning Engineer at REVE Systems, Bangladesh, where I contributed to various AI-driven projects involving both Computer Vision and NLP.

My research has been published in multiple top-tier AI/ML conferences including CVPR and ICCV.

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Recent News

February 2025

Our paper on highly compressed Vision Transformers has been accepted at CVPR 2025!

November 2024

Serving as a Reviewer for CVPR 2025.

November 2024

Our team secured second runner-up in the eBay ML 2024 competition, where we developed a solution for extracting vehicle fitment from advertised data using LLMs such as Mistral Nemo 12B and Qwen 2.5 14B.

July 2024

I am going to join SONY AI as a Research Intern in Fall 2024.

February 2024

Our paper on exploring a novel attack surface has been accepted at CVPR 2024!

December 2023

Our team secured second runner-up in the eBay ML 2023 competition, where we developed a semi-supervised teacher-student framework to enhance product tag tiling performance using RoBERTa.

July 2023

Our paper on improving the safety of Source-Free Domain Adaptation has been accepted at ICCV 2023!