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Basics

Name Megnath Ramesh
Label Postdoctoral Fellow (Vector Faculty Affiliate Researcher)
Email m5ramesh@uwaterloo.ca
Phone +1 (587)-589-5810
Url https://megnath.com

Work

  • 2025 - Present
    Postdoctoral Fellow (Vector Faculty Affiliate Researcher)
    University of Waterloo
    Developing generative AI models to plan robot paths for long-horizon coverage and exploration tasks.
    • Advisors: Stephen L. Smith and Baris Fidan
  • 2020 - 2025
    Ph.D. Researcher
    University of Waterloo & Avidbots Corp.
    Developed efficient coverage planning algorithms for industrial cleaning robots with real-world testing and implementation.
    • Developed efficient coverage planning algorithms for industrial cleaning robots
    • Tested algorithms using real-world robots encountering environmental uncertainties
    • Collaborated with Avidbots engineering team on algorithm implementation and testing
    • Mentored junior researchers in robotics problem-solving
  • 2020 - 2025
    Graduate Teaching Assistant
    University of Waterloo
    Teaching assistant for algorithm design, digital control, and analog control systems courses.
    • Algorithm Design and Analysis
    • Digital Control Applications
    • Analog Control Systems
  • 2018 - 2020
    Application Software Developer (L1 & L2)
    ScopeAR
    Developed features and fixed defects in a cross-platform augmented reality (AR) video calling application.
    • Marker-based AR tracking
    • Guest login system
    • Cloud-based AR features
  • 2017 - 2018
    Junior Robotics Developer
    VEERUM
    Developed a pilot project using autonomous robots for generating digital twins of construction facilities.
    • Autonomous robot development
    • Digital twin generation for construction

Education

  • 2020 - 2025
    Doctor of Philosophy (Ph.D.)
    University of Waterloo
    Electrical and Computer Engineering
    • Combinatorial Optimization
    • Computational Geometry
    • Deep Learning
    • Algorithm Design
  • 2013 - 2018
    Bachelor of Science (B.Sc.)
    University of Alberta
    Electrical Engineering (Co-op)

Awards

Skills

Robotics & Planning
Robot Motion & Path Planning
Coverage Planning
Planning under Uncertainty
Algorithms & Optimization
Combinatorial Optimization
Approximation Algorithms
Computational Geometry
Machine Learning & AI
Deep Learning
Reinforcement Learning
Diffusion Models
Software Development
Python
C++
ROS (Robot Operating System)
Augmented Reality (AR)

Interests

Robot Path Planning
Planning under Uncertainty
Long-horizon Task Planning
Generative AI for Robotics
Deep Learning for Path Planning
Diffusion Policies
Reinforcement Learning

Projects