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Hi, my name is Ali Rahimian, and I'm a graduate research assistant at the Charlotte Machine Learning Lab (CharMLab), where I work on sparse attention, efficient Transformer models, and visual representation learning.

Some highlights from my CV:

  • 2nd Place — JCAL Programming Contest (May 2018)
  • 3rd Place — Sharif ICT Challenge (Aug 2019)
  • 4th Place — Sharif Spaghetti Programming Contest (Dec 2019)
  • 10th Place — JavaCup Programming Contest (Oct 2019)
  • 31st Place — Mobile Programming Marathon (Sep 2019)
  • Certificate of Achievement — 17th ACM ICPC (Nov 2019)

Selected Repositories

Efficient Transformer Models (2024-2025)

Optimization for Machine Learning

Deep Reinforcement Learning & Game Theory

Computer Vision & Deep Learning

  • truthlens — TruthLens: Training-Free Data Verification for Deepfake Images via VQA-style Probing (ICML 2025)
  • watershed — Image segmentation with Watershed algorithm
  • oneshot-openclip-tta — One-Shot Classification with OpenCLIP + Test-Time Prototype Adaptation
  • moco-joint-ssl-training — SSL-First Image Classification (MoCo + Joint Optimization)
  • vit-transfer-learning-pipeline — Transfer Learning for Maximum Accuracy: ViT Fine-Tuning Pipeline
  • mnist-simplenet-pytorch — MNIST SimpleNet with PyTorch
  • opencv-tracking-algorithms — Real-time tracking (CAMShift, Lucas-Kanade, KCF, etc.)
  • ira — Real-time keypoint detection (face, eyes, edges)
  • hsfc — Hand segmentation & finger counting with convex hull
  • kcnn — CNN for image classification (TensorFlow/Keras, MNIST)

Distributed & Cloud Computing

Parallel Computing

Algorithms & Competitive Programming

Systems, Networking & Security

Software Development

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