Machine Learning Scientist
I am a graduate research assistant in the Department of Computer Science and Engineering at University of South Carolina, where I am a member of the SCARR lab. My main research interests include: Machine Learning, SLAM, Machine Vision, Automatic Robot Design, and Algorithms.
You can find my C.V. here.
Goals and Interests
The broad goal of my research is to design and implement highly scalable algorithms that enable complex systems, particularly the ones that utilize machine learning and machine vision, to operate autonomously, robustly, and inexpensively.
My main interests include, but are not limited to Machine/Robot Learning(Deep Learning, interpretable ML models), Robot Design(Minimality in design), Machine/Robot Vision(visual based SLAM), Planning(Path/Motion Planning), and Algorithms in general.
PH.D., COMPUTER SCIENCE
2015 -2019 (expected)
University of South Carolina
Dissertation Title: Algorithmic Robot Design: Label Maps, Procrustean Graphs, and the Boundary
Supervisor: Jason O’Kane
M.SC., ROBOTICS ENGINEERING
Thesis Title: Homecoming: a multi-robot exploration method for conjunct environments with a systematic return procedure
Supervisor: Ali Mohades
Amirkabir University of Technology
B.SC., COMPUTER ENGINEERING
Project Title: The Problem of Finding Scalar Generators of a Natural Number
Supervisor: Majid Namazi
Sometimes the team of robots exploring an environment need to get back to the base station, for a variety of reasons, including charging and delivery. This should be done preferrably with an equilibrium in task allocation(see this paper).