Hello, I'm Joy!
I am a researcher from Dhaka, Bangladesh, currently based in Dallas, Texas, with an M.S. in Computer Science from the University of Delaware.
My research is in Applied Efficient AI — building machine learning systems that are not just accurate but genuinely deployable: architecturally lean, resource-aware, and grounded in real-world constraints. I work across a broad range of domains, including medical image analysis, environmental sensing, assistive technology, computer vision, and distributed systems. The common thread is not the domain but the design constraint: systems that hold up beyond the lab, under real compute budgets, for real users.
My approach draws on efficient sequence models, lightweight convolutional operators, and principled training strategies to close the gap between benchmark performance and deployment viability. Representative work includes BAMPolyp (ICCVW '25), a Bi-Axial Mamba bottleneck architecture for gastrointestinal polyp segmentation; AQI-Net (Nature Sci. Rep. '23), a smartphone-deployable network for location-specific air quality estimation; and InvoConvNet (EAAI '24), an involution-fused architecture for classifying eye-tracking patterns in children with Autism Spectrum Disorder.
My Erdős number is 4.
Outside research: avid gamer (LePotatoGuy), anime enthusiast, cyclist, and a chess player rated ~400 — which means I lose often and confidently. Feel free to challenge me anyway.
News
- Dec 2025 DegreeCompleted M.S. in Computer Science from the University of Delaware!
- Nov 2025 ReviewInvited as reviewer at PeerJ Journal.
- Aug 2025 Op-EdOp-Ed published in The Daily Star on responsible AI use in education. [Link]
- Jul 2025 PaperBAMPolyp (Mamba-based polyp segmentation) accepted at CVAMD @ ICCV 2025.
- May 2025 PaperTwo-step copyright-aware image generation model accepted at IFIP Summer School on Privacy and Identity Management.
- May 2025 AwardAwarded Quality Journal Publication Award from BRAC University.
- Apr 2025 PaperGCN+Transformer model for CB2 receptor ligand activity prediction accepted at IJCNN. [Link]
- Mar 2025 ReviewInvited as reviewer at NeurIPS 2025.
- Jan 2025 PaperAdversarial attacks paper (ET DeepFool) accepted at Nature Scientific Reports.
- Dec 2024 FellowshipSelected for NSF-funded NRT-MIDAS fellowship program.
- Oct 2024 PaperInvolution Fused ConvNet for ASD eye-tracking classification accepted at EAAI.
- Aug 2024 EnrollmentStarted graduate studies at the University of Delaware.
- Feb 2023 Op-EdOp-Ed published in The Daily Star on ChatGPT in education. [Link]
Selected Publications
Honors & Awards
Reviewer Work
- Reviewer, NeurIPS 2025
- Reviewer, ICLR 2025 (13th)
- Reviewer, ACM CSCW 2024
- Judge, Undergraduate Research Expo, University of Alabama at Birmingham (Fall 2023)
- Reviewer, 1st WACV 2024 Workshop on Vision-Based Understanding for Low-Resource Languages (WVLL)
- Reviewer, ACM CHI 2024
- Reviewer, ICLR 2024 (12th)
- Reviewer, NeurIPS 2023
- Reviewer, NeurIPS 2024 Workshop on Foundation Model Interventions (MINT 2024)
- Reviewer, ACM Journal on Computing and Sustainable Societies
- Reviewer, PeerJ Journal
Skills
Education
Experience
Courses: CSE472 (HCI), CSE474 (Simulation & Modeling), CSE484 (Cloud Computing)
Course: CSE474 — Simulation and Modeling
Collaborations
I am immensely honored to collaborate with researchers from diverse institutions across the globe.
Lineage
I am honored to be part of a distinguished academic lineage connecting to figures such as Isaac Newton, De Morgan, Thomson, and Rutherford.