CV

Education

• Ph.D. in Industrial Engineering, Northeastern University, Boston, USA (April 2025)
  • Advisor: Prof. Xiaoning “Sarah” Jin
  • Thesis: Towards Practical Multi-Agent Reinforcement Learning for Urban Traffic Signal Control

• M.S. in Operations Research, Northeastern University, Boston, USA (Dec 2018)

• B.S. in Mechanical Engineering, Nagpur University, India (Jul 2016)

Research Experience

• Northeastern University – Research Assistant
  Boston, MA | Sep 2018 – April 2025
  • Thermal & aeroacoustic anomaly detection in Cold Spray (2024–2025)
  • Real-time anomaly detection using thermal imaging (2020–2023)
  • Review of multimodal data fusion methods in engineering (2019)
• Woods Hole Oceanographic Institution – Statistical Modeling Co-op
  Woods Hole, MA | Jan 2018 – Aug 2018
  • Developed inverse models for coral growth using R and MATLAB
• Northeastern University – Research Assistant (Predictive Informatics Lab)
  Boston, MA | Sep 2017 – Dec 2017
  • Applied ML for anomaly detection in rail-suspension systems
• Kinetic Gears Pvt. Ltd – Industrial Engineering Intern
  Nagpur, India | Sep 2015 – May 2016
  • Designed improved CNC fixtures and conducted stress/fatigue analysis

Skills

• Machine Learning: Deep Learning, Reinforcement Learning, Multi-Agent Systems
• Programming: Python, R, MATLAB, SQL
• Frameworks: PyTorch, TensorFlow, Scikit-learn, OpenAI Gym
• Simulation: SUMO, CityFlow, Vissim
• Tools: LabView, Git, LaTeX, Linux
• Cloud: AWS, GCP

Publications

Pytsc: A unified platform for multi-agent reinforcement learning in traffic signal control

Rohit Bokade, Xiaoning Jin. (2025). "Pytsc: A unified platform for multi-agent reinforcement learning in traffic signal control." Sensors

Thermal imaging based non-destructive testing for fault detection in cold spray additive manufacturing

Rohit Bokade, Sinan Müftü, Ozan Çağatay Özdemir, Xiaoning Jin. (2025). "Thermal imaging based non-destructive testing for fault detection in cold spray additive manufacturing." Journal of Manufacturing Processes

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control

Rohit Bokade, Xiaoning Jin. (2024). "OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control." arXiv preprint arXiv:2411.06601

Multi-agent reinforcement learning based on representational communication for large-scale traffic signal control

Rohit Bokade, Xiaoning Jin, Christopher Amato. (2023). "Multi-agent reinforcement learning based on representational communication for large-scale traffic signal control." IEEE Access

A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing

Rohit Bokade, Alfred Navato, Ruilin Ouyang, Xiaoning Jin, Chun-An Chou, Sarah Ostadabbas, Amy V Mueller. (2021). "A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing." Expert Systems with Applications

Ocean acidification has impacted coral growth on the Great Barrier Reef

Weifu Guo, Rohit Bokade, Anne L Cohen, Nathaniel R Mollica, Muriel Leung, Russell E Brainard. (2020). "Ocean acidification has impacted coral growth on the Great Barrier Reef." Geophysical Research Letters