Mehmet Fatih Ozkan
Engineering · The Ohio State University
Publications
38
Citations
228
Est. group size
~5
Recurring co-author estimate
Active years
8
Publishing since 2019
Mehmet Fatih Ozkan's research focuses on modeling and controlling vehicles in mixed traffic that includes both human-driven and automated cars, as well as improving models and monitoring methods for lithium-ion batteries. His work combines control theory, machine learning, and data-driven modeling to improve energy efficiency, safety, and reliability in transportation and energy storage systems. This includes topics like predicting driver behavior, coordinating truck platoons, and forecasting battery health over time.
Publication output has grown substantially over the last decade, rising from zero or minimal activity before 2019 to a peak of 12 outputs in 2025, despite a gap in 2023.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Unsupervised Driver Classification from Behavioral Data and its Impact on Energy Efficiency
SSRN Electronic Journal · 2026
- Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
arXiv (Cornell University) · 2026
- Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
arXiv (Cornell University) · 2026
- Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics
2025
- Real-Time Optimal Design of Experiment for Parameter Identification of Li-Ion Cell Electrochemical Model
IFAC-PapersOnLine · 2025
- Optimal Design of Experiment for Electrochemical Parameter Identification of Li-Ion Battery via Deep Reinforcement Learning
2025
- Real-Time Optimal Design of Experiment for Parameter Identification of Li-Ion Cell Electrochemical Model
arXiv (Cornell University) · 2025
- Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning
arXiv (Cornell University) · 2025
- Augmented Physics-Based Li-ion Battery Model via Adaptive Ensemble Sparse Learning and Conformal Prediction
arXiv (Cornell University) · 2025
- Evaluating the Impact of Velocity Advisory Systems on Fuel Economy of Passenger Vehicles: A Driver Simulator Study
SAE technical papers on CD-ROM/SAE technical paper series · 2024
- Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics
arXiv (Cornell University) · 2024
- Distributed Stochastic Model Predictive Control for Human-Leading Heavy-Duty Truck Platoon
IEEE Transactions on Intelligent Transportation Systems · 2022
- Inverse Resource Rational Based Stochastic Driver Behavior Model
IFAC-PapersOnLine · 2022
- Trust-Aware Control of Automated Vehicles in Car-Following Interactions with Human Drivers
2022 IEEE 61st Conference on Decision and Control (CDC) · 2022
- Trust-Aware Control of Automated Vehicles in Car-Following Interactions with Human Drivers
arXiv (Cornell University) · 2022
- arXiv (Cornell University)×13
- IFAC-PapersOnLine×6
- SAE technical papers on CD-ROM/SAE technical paper series×3
- IEEE Transactions on Intelligent Transportation Systems×1
- IEEE Access×1
- Ziran Wang
Engineering · Purdue University West Lafayette
- Yujie Li
Engineering · Purdue University West Lafayette
- Sheng Zhu
Engineering · The Ohio State University
- Jiqian Dong
Engineering · Purdue University West Lafayette
- Yiheng Feng
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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