CV

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Table of contents

Basics

Name Ameya Pore
Label Schmidt AI in Science Postdoctoral fellow
Email ameya.pore@utoronto.ca
Url https://Ameyapores.github.io
Summary Robotic Learning: Reinforcement Learning, Imitation Learning and Fondational models for manipulation

Work

  • 2024.08 - 2027.05
    Schmidt AI in Science Postdoctoral fellow
    University of Toronto (UofT), Canada and Vector Institute for Artificial Intelligence (VIAI), Canada
    RL for robotic control. Foundational models for imitaion learning
    • Vision-Language-Action (VLA) models for Surgical robotic tasks
    • Multi-cam RL for robotic learning
  • 2019.12 - 2023.07
    PhD student
    Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
    Developing soft object deformable simulator for robotic manipulation
    • Clinical user study to test compare RL based control to human control for colonoscopy
    • Finite element based methods for developing colonoscopy simulator
  • 2019.10 - 2023.08
    PhD student
    University of Verona (UNIVR), Italy
    Deep Reinforcement Learning (RL) for surgical robot control
    • Constrained RL and formal verification for safety
    • Imitation learning appraoches for learning surgical gestures from clinicians
    • Control of Flexible robots
  • 2018.04 - 2019.06
    Master's student
    University of Glasgow (UoG), Glasgow, UK
    Deep RL control for robotic manipulation
    • Hierarchical RL to decompose complex tasks into simpler options

Education

  • 2019.10 - 2023.08
    PhD
    Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
    Department of Automatic control
    • Experimental design, Control theory
  • 2019.10 - 2023.08
    PhD
    University of Verona (UNIVR), Italy
    Department of Computer Science
    • Deep Reinforcement learning, Deep unsupervised learning, Representation learning
  • 2018.04 - 2019.06
    MS
    University of Glasgow (UoG), Glasgow, UK
    School of Computing Science
    • Robotics Foundation, Computer vision, Machine learning, Statistical analysis

Awards

Languages

English
Native speaker
Marathi
Native speaker
Italian
Intermidiate