Dr. Irfan Ahmad Ganie

Dr. Irfan Ahmad Ganie is an Assistant Professor in the Department of Mechanical and Electrical Engineering. He earned his Ph.D. in Electrical Engineering from Missouri University of Science and Technology (Missouri S&T), USA, where his research focused on safe and adaptive control for human-robot teaming. He also holds a Master’s degree in Cyber-Physical Systems from the Indian Institute of Technology.

Dr. Ganie previously served as a Research Assistant at Missouri S&T and was honored with the Dean’s Ph.D. Scholar Award (2025) in recognition of his academic excellence.

His research integrates reinforcement learning, deep learning, artificial intelligence, and nonlinear control to design intelligent controllers that enable robots and nonlinear systems to collaborate safely and effectively in uncertain environments. His work has been published in leading venues such as IEEE Transactions journals, the American Control Conference, and the IEEE Conference on Decision and Control, reflecting his significant contributions to the fields of intelligent systems and robotics.

• Ph.D. in Electrical Engineering
  Missouri University of Science and Technology, Rolla, MO, USA
  May 2025
• M.Tech. in Cyber-Physical Systems
  Indian Institute of Technology, India
  2021 

1. 2022 – Missouri S&T research gives ‘brain’ to military robots
   https://news.mst.edu/2021/11/missouri-st-research-gives-brain-to-military-robots/ external website
2. 2023 – ISC poster presentation winners announced
   https://econnection.mst.edu/2023/10/isc-poster-presentation-winners-announced-4/ external website
3. 2025 – S&T’s College of Engineering and Computing honors 9 Ph.D. students
   https://news.mst.edu/2025/05/sts-college-of-engineering-and-computing-honors-9-ph-d-students/ external website

• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Systems, Man, and Cybernetics
• IEEE Transactions on Automation Science and Engineering
• IEEE Transactions on Cybernetics
• IEEE Control Systems Society
  • American Control Conference (ACC)
  • IEEE Conference on Control Technology and Applications 

1. Irfan Ganie, S. Jagannathan, “Optimal Control for Human-Robotic Agent Teams for Cooperative Manipulation,” 2025 IEEE Conference on Decision and Control (CDC) (Accepted).
2. M. Geiger, Irfan Ganie, S. Jagannathan, “Finite-Horizon Optimal Adaptive Tracking of Uncertain Linear Discrete-Time Systems Using Q-Learning,” 1st IFAC Joint Conference on Computers, Cognition, and Communication (J3C 2025) (Accepted).
3. Irfan Ganie, S. Jagannathan, “Optimal Continual Reinforcement Learning-based Optimal Output Tracking Control of Nonlinear Systems using Multilayer Observer,” 2025 International Joint Conference on Neural Networks and Learning (IJCNN).
4. Irfan Ganie, S. Jagannathan, “Online Learning-Driven Human Intent Estimation and Control for Human-Robot Interaction,” 2025 IEEE American Control Conference (ACC), Denver, Colorado, USA.
5. Irfan Ganie, S. Jagannathan, “Online Continual Safe Reinforcement Learning-based Optimal Control of Mobile Robot Formations,” 2024 IEEE Conference on Control Technology and Applications (CCTA), Newcastle upon Tyne, United Kingdom, 2024, pp. 519-524, doi: 10.1109/CCTA60707.2024.10666606.
6. Irfan Ganie, S. Jagannathan, “Continual Optimal Adaptive Tracking of Uncertain Nonlinear Continuous-time Systems using Multilayer Neural Networks,” 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 3395-3400, doi: 10.23919/ACC55779.2023.10156466.
7. Irfan Ganie, S. Jagannathan, “Lifelong Learning Control of Nonlinear Systems with Constraints using Multilayer Neural Networks with Application to Mobile Robot Tracking,” 2023 IEEE Conference on Control Technology and Applications (CCTA), Bridgetown, Barbados, 2023, pp. 727-732, doi: 10.1109/CCTA54093.2023.10252103.
8. Irfan Ganie, S. Jagannathan, “Adaptive Control of Robotic Manipulators using Deep Neural Networks,” 6th IFAC Conference on Intelligent Control and Automation Sciences ICONS, 2022, 55(15), pp. 148-153, doi: 10.1016/j.ifacol.2022.07.623.

1. Irfan Ganie, S. Jagannathan, “Safety Aware Continual Reinforcement Learning-based Output Tracking Control of Nonlinear Continuous-time Systems,” 2024, minor revision in IEEE Transactions on Systems, Man, and Cybernetics.
2. Irfan Ganie, S. Jagannathan, “Online Lifelong Optimal Tracking Control of Nonlinear Continuous-time Strict-Feedback Systems using Deep Neural Networks,” 2025, in Neural Networks, https://doi.org/10.1016/j.neunet.2025.107793 external website.
3. Irfan Ganie, S. Jagannathan, “Lifelong Learning-based Optimal Trajectory Tracking of Constrained Nonlinear Affine Systems using Deep Neural Networks,” 2024, IEEE Transactions on Cybernetics, pp. 1-14, doi: 10.1109/TCYB.2024.3405354.
4. Irfan Ganie, S. Jagannathan, “Optimal Trajectory Tracking of Uncertain Nonlinear Continuous-time Strict-Feedback Systems with Dynamic Constraints,” 2024, International Journal of Control, pp. 1-15, doi: 10.1080/00207179.2024.2370323.
5. Irfan Ganie, S. Jagannathan, “Lifelong Reinforcement Learning Tracking Control of Nonlinear Strict-Feedback Systems using Multilayer Neural Networks with Constraints,” 2024, Neurocomputing, 600, pp. 128139, doi: 10.1016/j.neucom.2024.128139.
6. Irfan Ganie, S. Jagannathan, “Continual Online Learning-Based Optimal Tracking Control of Nonlinear Strict-Feedback Systems: Application to Unmanned Aerial Vehicles,” 2024, Complex Engineering Systems, 4(1), doi: 10.20517/ces.2023.35.
7. Irfan Ganie, S. Jagannathan, “Lifelong Deep Learning‐based Control of Robot Manipulators,” 2023, International Journal of Adaptive Control and Signal Processing, 37(12), pp. 3169–3192, doi: 10.1002/acs.3678.
8. Irfan Ganie, S. Jagannathan, “Lifelong Learning-based Multilayer Neural Network Control of Nonlinear Continuous-time Strict-Feedback Systems,” 2023, International Journal of Robust and Nonlinear Control, 34(2), pp. 1397-1416, doi: 10.1002/rnc.7039.

• Dean’s Ph.D. Scholar Award, recognizing scholarly contributions among the most productive Ph.D. students.
• Best Poster Award, Intelligent Systems Centre Poster Presentation, Missouri S&T, 2023.
• IEEE Control Systems Society Conference Travel Award, 2023.
• Ph.D. Research Funding, through the Office of Naval Research Grant N00014-21-1-2232 and Army Research Office Cooperative Agreements W911NF-21-2-0260 and W911NF-22-2-0185.

• Research Associate
  May 2025 – Aug 2025
  Department of Electrical Engineering, Missouri S&T
• Instructor
  Jan 2025 – May 2025
  MECH 6410 / AERO 6410 / EE 6310 – Optimal Control and Estimation
  Missouri S&T, Rolla, MO, USA
• Graduate Research Assistant
  Sep 2021 – May 2025
  Missouri S&T
• Teaching Assistant
  Aug 2019 – May 2021
  EEL 1010 – Introduction to Electrical Engineering
  Indian Institute of Technology