Sabbir Ahmed

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Hi, I’m Sabbir Ahmed, a second-year CS PhD student at SUNY Binghamton. I’m interested in improving the safety, robustness, efficiency and generalization of deep learning algorithms, focusing on Semi/Unsupervised Learning, Federated Learning, and LLMs.

Before starting my PhD, I completed my MS in Electrical Engineering from University of California Riverside (UCR) and my BS in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET). I also worked as a Machine Learning Engineer at REVE Systems, Bangladesh, where I contributed to developing a Bengali language grammar and spell checker named Shothik.

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

Feel free to reache me at: sahmed9@binghamton.edu

news

Mar 14, 2024 Serving as a Reviewer at IEEE Transactions of Intelligent Transportation Systems (IF-8.5) and CVPR (community track).
Feb 26, 2024 Our Paper accepted at CVPR 2024!
Dec 14, 2023 Our team secured third place in the 2023 eBay Machine Learning Competition!
Aug 5, 2023 Received travel grant award for attending ICCV 2023, Paris.
Jul 13, 2023 Our paper titled SSDA has been accepted at ICCV 2023.

selected publications

2024

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    Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
    Sabbir Ahmed, Ranyang Zhou, Shaahin Angizi, and Adnan Siraj Rakin
    Computer Vision and Pattern Recognition Conference (CVPR) (yet to appear), 2024

2023

  1. ssda.png
    SSDA: Secure Source-Free Domain Adaptation
    Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizvee, Rahim Hossain, and 2 more authors
    International Conference of Computer Vision (ICCV), 2023

2021

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    DFR-TSD: A deep learning based framework for robust traffic sign detection under challenging weather conditions
    Sabbir Ahmed, Uday Kamal, and Md Kamrul Hasan
    IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021