Rohit BokadeRB
Open to opportunities

Rohit Bokade

@rohitbokade

PhD candidate in Industrial Engineering with expertise in reinforcement learning.

United States

What I'm looking for

I seek a challenging role in a forward-thinking company that values innovation and collaboration, where I can leverage my research skills and contribute to impactful projects.

I am currently pursuing a PhD in Industrial Engineering at Northeastern University, where my research focuses on multi-agent reinforcement learning for urban traffic signal control. My thesis, titled 'Towards Practical Multi-Agent Reinforcement Learning for Urban Traffic Signal Control,' aims to optimize traffic management systems using advanced AI techniques. I have developed an open-source Python-based platform that integrates SUMO and CityFlow simulators, facilitating large-scale MARL research. My work has been published in reputable journals, showcasing my commitment to advancing the field.

In addition to my academic pursuits, I serve as a Principal Investigator for a pro bono research initiative focused on carbon capture technologies. I collaborate with climate-tech startups to design control frameworks that enhance energy efficiency and CO2 capture. My experience also includes developing deep learning models for real-time defect detection in manufacturing, significantly improving inspection accuracy and efficiency. I am passionate about applying my skills in machine learning and statistical modeling to solve complex engineering challenges.

Experience

Work history, roles, and key accomplishments

IR
Current

Principal Investigator

Independent / Collaborative Research

Feb 2025 - Present (4 months)

Leading a research initiative focused on carbon capture using Reinforcement Learning to optimize direct air capture (DAC) technologies. Collaborating with climate-tech startups to design control frameworks and overseeing the development of simulation environments, RL models, and benchmarking protocols.

NU

Research Assistant

Northeastern University

Sep 2018 - Apr 2025 (6 years 7 months)

Developed and open-sourced a Python platform for Multi-agent Reinforcement Learning (MARL) traffic signal control, integrating SUMO and CityFlow simulators. Implemented deep variational inference for inter-agent communication and developed a Graph-GMVAE framework for offline MARL. Also developed a deep learning model for real-time defect detection in manufacturing and co-authored a literature revi

WI

Statistical Modeling Co-op

Woods Hole Oceanographic Institution

Jan 2018 - Aug 2018 (7 months)

Investigated computational statistics and metaheuristics to develop inverse models from coral growth patterns. Developed a toolbox using MATLAB and R for retrieving and visualizing climate data and optimized coral growth models, significantly reducing computation time. Co-authored a journal article analyzing the impact of ocean acidification on coral growth.

Education

Degrees, certifications, and relevant coursework

Northeastern University logoNU

Northeastern University

Ph.D., Industrial Engineering

Completed a Ph.D. in Industrial Engineering. Researched Towards Practical Multi-Agent Reinforcement Learning for Urban Traffic Signal Control.

Northeastern University logoNU

Northeastern University

Master of Science, Operations Research

Pursued a Master of Science degree. Focused studies in Operations Research.

Nagpur University logoNU

Nagpur University

Bachelor of Science, Mechanical Engineering

Completed a Bachelor of Science degree. Specialized in Mechanical Engineering.

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Rohit Bokade - Principal Investigator - Independent / Collaborative Research | Himalayas