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 to 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

  • B.S. in Mechanical Engineering | Oct 2018

Professional Experience

Powertrain and Electrification Controls (PTEC) Intern

Cummins Inc. | May 2026 to Aug 2026 | Columbus, IN

  • Analyzed operational data from heavy-duty commercial truck fleets to assess the hybridization opportunity for a P2 power-split architecture, characterizing adaptive cruise control usage patterns and quantifying recoverable braking energy from ACC-following scenarios.
  • Built a MATLAB pipeline to decode and process multi-channel vehicle CAN bus logs, enabling fleet-scale identification of adaptive cruise control engagement modes across engine programs.
  • Developed a physics-informed surrogate model of a heavy-duty truck adaptive cruise control decision layer, combining a car-following physics base with a data-driven residual correction to predict the controller’s desired acceleration.
  • Formulated a dynamic-programming framework to compute the fuel-optimal energy-management strategy for a Class 8 power-split hybrid powertrain, serving as the optimal benchmark for evaluating real-time hybrid controllers.

Graduate Research Associate

The Ohio State University, Center for Automotive Research | Jan 2021 to Dec 2025, Aug 2026 to Present

  • Designed physics-aware deep reinforcement learning (SAC, PPO, GRPO) frameworks for hybrid-electric powertrain energy management, achieving fuel consumption within 1.1 to 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.
  • Demonstrated embedded controller deployment of trained RL policies on a Speedgoat real-time target in a controller hardware-in-the-loop (C-HIL) testbench (plant: dSPACE SCALEXIO, communication: CAN), reproducing training-time control behavior across 12 deployment runs with less than 1.34% fuel error.
  • 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.

Graduate Teaching Assistant

The Ohio State University | Jan 2026 to Apr 2026

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

Lecturer, Dept. of Mechanical Engineering

Bangladesh Army University of Science and Technology (BAUST) | Jun 2019 to 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.

Intern

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

  • Industrial internship in manufacturing processes and quality control.

Selected Projects

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. Accepted at IEEE CDC 2026.

Technical Skills

Category Skills
Languages Python, MATLAB, C, C++
Controls Optimal control (Dynamic Programming), energy management strategies, battery aging and capacity-fade estimation, controller hardware-in-the-loop (C-HIL) validation
AI/ML PyTorch, TensorFlow, Scikit-learn; Transformers, RNN/LSTM, CNNs; Deep RL (SAC, PPO, TD3, GRPO, DDPG)
Optimization MINLP, MDP, Multi-Objective Optimization (NSGA-II), uncertainty quantification, CasADi
Modeling & Sim MATLAB/Simulink powertrain modeling, physics-based degradation models (battery, electric machine, aftertreatment), LAMMPS
Data & Tools CAN bus / J1939 log decoding, NumPy, Pandas, Matplotlib, LaTeX
Developer Tools Agentic AI coding tools (Claude Code, OpenAI Codex); GitHub Copilot; VS Code

Awards

  • Graduate Fellow Award, Dept. of Mechanical and Aerospace Engineering, The Ohio State University (Autumn 2026)
  • University Merit Scholarship, Dept. of Mechanical Engineering, BUET (2014)
  • Dean’s List Award, Dept. of Mechanical Engineering, BUET (2015, 2017)

Professional Service

  • Peer Reviewer, IEEE Transactions on Transportation Electrification (2026)
  • Peer Reviewer, IEEE Transportation Electrification Conference & Expo (ITEC) (2026)
  • Peer Reviewer, 23rd IFAC World Congress, Busan, Korea (2026)