Curriculum Vitae

You can download my full CV here: Download CV (PDF)

Education

The Ohio State University | Columbus, OH

Ph.D. in Mechanical Engineering | Jan 2021 – Dec 2026 (expected)
- Dissertation: Aging-Aware Learning-Based Control for Electrified Powertrains
- Advisor: Dr. Qadeer Ahmed
M.S. in Mechanical Engineering | Dec 2023
- Thesis: Uncertainty in Multi-Objective Optimization: Weighted Entropy and Partition-Based Uncertainty Reduction
- Advisor: Dr. Carol Smidts

Bangladesh University of Engineering & Technology (BUET) | Dhaka, Bangladesh

Cummins Inc. | Summer 2026 | Columbus, IN

The Ohio State University, Center for Automotive Research | Jan 2021 – Dec 2025

Designed physics-aware deep reinforcement learning (SAC, PPO, GRPO) frameworks for hybrid-electric powertrain energy management, achieving fuel consumption within 1.1–4.8% of the dynamic programming optimum while reducing battery degradation by up to 88%.
Developed a Physics-Informed Transformer Model for battery capacity fade prediction, reducing estimation error to 2.96% across 17 cells from 5 experimental datasets.
Built and validated physics-based aging models for battery, electric machine, and aftertreatment system, integrated into a forward-looking MATLAB/Simulink powertrain simulator.
Created a Dynamic Programming benchmarking framework to evaluate RL policy quality and generate expert trajectories for accelerated training.
Proposed a critic-free policy optimization method (A-GRPO) using Transformer policies and trajectory-level advantage ranking for long-horizon constrained control.
Delivered technical results to Cummins Inc. through regular milestone reviews and progress reporting.
Designed a multi-criteria sensor selection framework for nuclear facility online monitoring systems.
Developed a VR-based experimental framework for human reliability assessment under physical security threats.

The Ohio State University | Jan 2026 – Present

Lead recitation sections and office hours for ME 3501: Introduction to Engineering Thermodynamics, supporting 100+ students in applying thermodynamic principles to engineering systems.

Bangladesh Army University of Science and Technology (BAUST) | Jun 2019 – Dec 2020

Taught undergraduate courses: Numerical Analysis, Engineering Mechanics, Mechanics of Materials, and Measurement Instrumentation & Quality Control.
Supervised student projects including design and performance analysis of a hydrodynamic tunnel and gravitational water vortex turbine.
Served as Departmental Program Coordinator.

Navana Group | Mar 2018 – Apr 2018 | Dhaka, Bangladesh

Aging-Aware Optimal Powertrain Control | Python, PyTorch, MATLAB/Simulink

End-to-end pipeline: physics-based aging model calibration → RL environment design → multi-objective reward engineering → policy training → DP-based evaluation, deployed on heavy-duty Class 8 series-hybrid drive cycles.

Transformer-Based Battery Degradation Forecasting | Python, PyTorch

Trained a physics-informed Transformer on multi-cell cycling data (5 datasets, 17 cells) to predict capacity fade, outperforming LSTM and standard Transformer baselines.

Critic-Free RL with Group-Relative Policy Optimization | Python, PyTorch

Developed A-GRPO for long-horizon constrained control tasks, eliminating the critic network while maintaining near-optimal performance; validated on powertrain control and OpenAI Gym benchmarks.

Category	Skills
Languages	Python, MATLAB, C, C++
AI/ML	PyTorch, TensorFlow, Scikit-learn; Transformers, RNN/LSTM; RL (SAC, PPO, TD3, GRPO, DDPG)
Optimization	Dynamic Programming, MINLP, MDP, NSGA-II, Multi-Objective Optimization, CasADi
Modeling & Sim	MATLAB/Simulink, LAMMPS
Tools	Git, LaTeX, CUDA, Docker, AutoCAD, SOLIDWORKS