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Google Scholar

  • Mount Sinai Hospital Graduate Scholarships in Science and Technology ($15,000 CAD).

  • Preprint on arXiv: paper project PhotoQuilt: Training-Free Arbitrary-Resolution Photomosaics via Bootstrapped Tiled Denoising Koorosh Roohi, Javad Rajabi, Andrew Fleet, and Babak Taati.

  • Preprint on arXiv: paper project SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers Javad Rajabi, Kimia Shaban, Koorosh Roohi, David B. Lindell, and Babak Taati.

  • Paper in Machine Learning: Health: paper Deep learning-based recognition of simulated nursing activities for infection risk assessment Koorosh Roohi and Atena Roshan Fekr.

  • Survey in Computer Networks: paper A comparative analysis of indoor localization technologies: a review of the literature Koorosh Roohi and Atena Roshan Fekr.

  • Oral presentation at IEEE EMBC: proceedings Using mmWave radar and deep learning to classify caregiver activities for infection prevention Koorosh Roohi and Atena Roshan Fekr.

  • Paper in Signal, Image and Video Processing: paper FUVT: a deep few-shot unsupervised learning-based video-to-video translation scheme using Kalman filtering and relativistic GAN Koorosh Roohi, Alireza Esmaeilzehi, and M. Omair Ahmad.

  • Manuscript submitted (under review at Smart Health): Real-time caregiver activity recognition with potential for infection prevention in hospitals Koorosh Roohi and Atena Roshan Fekr.

  • EPIC Doctoral Award ($10,000 CAD), Emerging and Pandemic Infections Consortium.

Experience

  • 2023 — present

    AI Manager · Masterly Inc., Toronto

    AI products for organizations; cloud deployment on AWS.

    • Led end-to-end development of Masterly Forms, a collaborative platform with AI-assisted form design and completion.
    • Built Masterly Earendel, a vision–language-model-based video analysis pipeline for event detection and alerting in an agentic architecture.
    • Leading development of Masterly FinSuite, an LLM-driven financial portal for reporting automation and decision support.
    • Production infrastructure on AWS (SageMaker, Bedrock, Lambda, EC2); supervised a team of five developers and shipped modules in PyTorch and .NET.
  • 2022

    Computer Vision Engineer · Crouse Company, R&D, Tehran

    Quality inspection for automotive displays.

    OpenCV-based defect-detection pipeline; Isolation Forest and Tesseract OCR for pixel-level anomaly screening.

  • 2019 — 2022

    Client Developer · Quiz of Kings Studio, Tehran

    Unity client for a large-scale mobile title.

    Client-side feature work and migration of legacy code from Corona to Unity.

Background — briefly

Education

  • Ph.D. candidate, Biomedical Engineering, University of Toronto 2023 onward · expected 2028 Dissertation learning and multi-modal sensing in clinical settings, including 3D data, sequential modeling, and system integration.
  • B.Sc., Computer Engineering, Amirkabir University of Technology Tehran Polytechnic 2023

Teaching

University of Toronto · Department of Computer Science (tutorial and lab TA)

  • CSC 209 — System Programming
  • CSC 385 — Microprocessor Systems
  • CSC 207 — Software Design