Feng Han
Title: Assistant Professor
Department: Mechanical Engineering
Campus: Long Island
Area(s) of Expertise: Robotics, Mechatronics, Dynamics, Control, Machine Learning
Education Credentials: Ph.D.
Joined New York Tech: 2024
Feng Han is an assistant professor in the Department of Mechanical Engineering. He received his bachelor's and master's degrees in aerospace engineering, and his Ph.D. in mechanical engineering from Rutgers University.
Feng's research focuses on robotics and autonomous systems. It combines the traditional mathematical model and physics with a machine learning approach to better understand and manipulate dynamic systems. Robotics, mechatronics, and machine learning are his major research areas.
Selected Publications and Presentations
- F. Han, X. Huang, Z. Wang, J. Yi and T. Liu, "Autonomous Bikebot Control for Crossing Obstacles With Assistive Leg Impulsive Actuation," IEEE/ASME Transactions on Mechatronics, vol. 27, no. 4, pp. 1882–1890, Aug. 2022, doi: 10.1109/TMECH.2022.3172909.
- F. Han, A. Jelvani, J. Yi and T. Liu, "Coordinated Pose Control of Mobile Manipulation With an Unstable Bikebot Platform," IEEE/ASME Transactions on Mechatronics, vol. 27, no. 6, pp. 4550–4560, Dec. 2022, doi: 10.1109/TMECH.2022.3157787.
- F. Han and J. Yi, "Stable Learning-Based Tracking Control of Underactuated Balance Robots," IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1543–1550, April 2021, doi: 10.1109/LRA.2021.3056324.
- T. Yigit, F. Han, E. Rankins, J. Yi, K. H. McKeever and K. Malinowski, "Wearable Inertial Sensor-Based Limb Lameness Detection and Pose Estimation for Horses," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1365–1379, July 2022, doi: 10.1109/TASE.2022.3157793.
Professional Honors and Awards
- Best Transaction Paper Finalist of IEEE/ASME Transactions on Mechatronics, 2023
Courses Taught at New York Tech
- Dynamics system and control (Fall 2024)
- Measurement Lab (Fall 2024)