About Me

Hello, I am Sneha Paul. I currently work at RBC Borealis as a Research Engineer II. I obtained Ph.D. from the Department of Cybersecurity and Intelligent Systems Engineering (CISE), Concordia University, Montreal, Canada, under the supervision of Dr. Zachary Patterson and Dr. Nizar Bouguila. Previously I worked as an Intern Researcher at Huawei Noah’s Ark Lab under the Physical AI team. My research focuses on multimodal learning, large language models and foundation models.

I have published papers in renowned venues, such as CVPR, ECCV, TMLR, etc. I am experienced in Python and different libraries (e.g., PyTorch, Scikit-learn, and NumPy), model design, training, and deployment. I am honoured to have received several awards and scholarships throughout my academic journey.

Education

  • Doctor of Philosophy (Ph.D.) in Information and Systems Engineering — Concordia University, Montreal, QC, Canada (01/2023 – 09/2026)
    Thesis: Label-Efficient 3D Point Cloud Understanding: From Representation Learning to Foundation Model Adaptation.
    CGPA: 4.20/4.30
  • Master of Applied Science (MASc) in Quality Systems Engineering — Concordia University, Montreal, QC, Canada (09/2021 – 12/2022)
    Thesis: An efficient neural network architecture and training protocol for 3D point cloud classification.
    CGPA: 4.15/4.30
  • Bachelor of Science (BSc) in Urban and Regional Planning — Khulna University of Engineering & Technology, Khulna, Bangladesh (04/2015 – 05/2019)
    CGPA: 3.80/4.00 • 1st Class 1st, Gold Medalist (selected for upcoming graduation ceremony)

Experience

  • Research Engineer II — RBC Borealis, Greater Toronto Area, Canada (2026 – Present)
  • Intern Researcher, Huawei Noah's Ark Lab — Huawei Canada, Markham, ON, Canada (09/2026 – Present)
    PhysVGGT: Feed-Forward Dense Physical Property Estimation from A Single Image
  • Graduate Research Assistant — CISE, Concordia University, Montreal, QC, Canada (09/2021 – 09/2026)
    Research Area: Unsupervised learning, representation learning, computer vision.
  • Research Intern — BusPas Inc., Montreal, QC, CA (01/2023 – 08/2023)
    Semantic segmentation of fish-eye images for autonomous driving; developed semi-supervised framework (Best Paper Award at TRB'24).
  • Research Intern — Niosense, Montreal, QC, CA (01/2022 – 03/2022)
    Challenges of Data Integration in Digital Twin: A Review.
  • Lecturer — Department of Urban and Regional Planning, KUET, Khulna, Bangladesh (07/2019 – 06/2021)

Awards & Scholarships

  • Best Paper Award, TRB AED30 Information Systems and Technology Committee — Transportation Research Board 103rd Annual Meeting, Washington DC, USA (01/2024)
  • CIRRELT Doctoral Excellence Scholarship (01/2024)
  • Concordia University International Tuition Award Excellence (2023)
  • Concordia University Graduate Studies Conference and Exposition Award (2022, 2023)
  • CIRRELT Masters' Excellence Scholarship (01/2022)
  • University Gold Medal (selected) — KUET, Khulna, Bangladesh
  • Dean's Award for Excellent Performance — KUET (2016, 2018, 2019)
  • Academic Scholarship — KUET (2015–2019)