Owais KHAN
-
416 ERC Tempe, AZ 85287
-
Mail code: 6106Campus: Tempe
-
-
PhD in Electrical Engineering (Control Systems) 2016-2020 Pakistan Insitute of Engineering and Applied Sciences
Islamabad, Pakistan www.pieas.edu.pk
Dissertation: Developed a novel fault-tolerant robust model predictive control algorithm for industrial processes subjected to different fault scenarios and uncertainties
-
MS Electrical Engineering (Control Systems) 2014-2016 COMSATS University
Islamabad, Pakistan http://www.comsats.edu.pk
- Model Predictive Control
- Fault Diagnosis & Tolerant Control
- Dynamic Modeling
- Dynamical Systems
- Mode-based and Data-drive Control
- Optimization
- State Estimation
- Adaptive Behavioral Mobile Health Interventions
SELECTED JOURNAL PUBLICATIONS
-
P. Ot´ alora, et al., “Enhancing pH control in microalgae raceway photobioreactors using 3DoF-KF Model-on-Demand model predictive control,” Control Engineering Practice, 2025 (Under Review)
https://www.techrxiv.org/doi/full/10.36227/techrxiv.175322301.13795101/v1
- S. Banerjee, et al., “Data-Driven System Identification and 3DoF-KF Model Predictive Control For Integrating Processes: Application to a Microalgae Raceway Reactor,” Automatica, 2025 (Under Review)
- S. Banerjee, O. Khan, et al., “A Robust Data-Driven Nonlinear Predictive Control Framework using 3DoF-KF DWO MPC,” 2025 (Pending)
-
O. Khan, G. Mustafa, et al., “Robust Model Predictive Control of Sampled-Data Lipschitz Nonlinear Systems: Application to Flexible Joint Robots,” European Journal of Control, 81, January 2025
https://www.sciencedirect.com/science/article/pii/S0947358024002073
-
O. Khan, et al., “3DoF-KF HMPC: A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems,” Control Engineering Practice, 154, January 2025
https://www.sciencedirect.com/science/article/pii/S0967066124003307
-
S. Banerjee, O. Khan, et al., “Data-Driven Control of Nonlinear Process Systems using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework,” Industrial & Engineering Chemistry Research, 2025
-
D.S. Downs, et al., “Healthy Mom Zone Adaptive Intervention with Novel Control System and Digital Platform: Study Design and Protocol for a Randomized Control Trial to Manage Gestational Weight Gain in Pregnant Women with Overweight,” JMIR Research Protocols, 14, 2025
-
M. Kim, et al., “Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol of Control Optimization Trial embedded within a Randomized Controlled Trial,” JMIR Research Protocols, 2025 (In-Press)
-
M. El. Mistiri, O. Khan, et al., “Data-Driven Mobile Health: System Identification and Hybrid Model Predictive Control to Deliver Personalized Physical Activity Interventions,” IEEE Open Journal of Control Systems, 2025
-
M. A. Shoaib, et al., “A Framework for Observer-Based Robust Fault Detection in Nonlinear Systems With Application to Synchronous Generators in Power Systems,” IEEE Transactions on Power Systems, 37(2), 2022
https://ieeexplore.ieee.org/document/9521692?signout=success
-
ur Rehman, A, et al., ”A Disturbance Observer Based Sliding Mode Control for Variable Speed Wind Turbine,” IETE Journal of Research, 68.3, 2022
https://www.tandfonline.com/doi/abs/10.1080/03772063.2019.1676661
-
O. Khan, G. Mustafa, et al., “Fault-tolerant robust model predictive control of uncertain time-delay systems subject to disturbances,” IEEE Transactions on Industrial Electronics, 68(11), 2021
-
O. Khan, G. Mustafa, A. Q. Khan, M. Abid, “Robust observer-based model predictive control of non-uniformly sampled systems,” ISA Transactions, 98, pp. 37-46, March 2020
https://www.sciencedirect.com/science/article/pii/S0019057819303969
SELECTED CONFERENCE PUBLICATIONS - O. Khan, D. E. Rivera, et al., “Optimizing CPAP Adherence and Quality of Life in Obstructive Sleep Apnea Patients Using 3DoF-KF Hybrid Model Predictive Control,” in IEEE Conference on Control Technology and Applications, San Diego, CA, August 25-27, 2025 (Accepted)
- O. Khan, et al., “An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control,” in American Control Conference (ACC), Denver, CO, USA, July 8-10, 2025, pp. 3317-3322 (In-Press)
- M. El. Mistiri, J. Park, O. Khan, S. Banerjee, E. Hekler, and D. E. Rivera, “YourMove: A System Identification and Hybrid Model Predictive Control Personalized mHealth Intervention for Physical Activity,” in American Control Conference (ACC), Denver, CO, USA, July 8-10, 2025, pp. 3974-3980 (In-Press)
- S. Banerjee, M. El. Mistiri, O. Khan, et al., “A Data-Driven Hybrid Model Predictive Control Framework for Managing Epidemics Using 3DoF-KF HMPC,” American Control Conference, Denver, CO, USA, 2025, pp. 2023-2028 (In-Press)
-
S. Banerjee, O. Khan, et al., “Data-Driven control of highly interactive systems using 3-DoF Model-On-Demand MPC: Application to MIMO CSTR,” IFAC-Papers OnLine, 58(15), 2024, pp. 420-425
https://www.sciencedirect.com/science/article/pii/S2405896324013454
-
S. Banerjee, P. Ot´ alora, M. El. Mistiri, O. Khan, et al., “Control-Relevant Input Signal Design For Integrating Processes: Application to a Microalgae Raceway Reactor,” IFAC-Papers OnLine, 58(15), 2024, pp. 360-365
https://www.sciencedirect.com/science/article/pii/S2405896324013351
-
M. El. Mistiri, O. Khan, et al., “System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity,” American Control Conference, San Diego, CA, USA, 2023, pp. 2240-2245
https://ieeexplore.ieee.org/document/10156652?signout=success
-
O. Khan, M. El. Mistiri, D. E. Rivera, C. A. Martin, and E. Hekler, “A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity,” in 61st IEEE Conference on Decision and Control, Cancun, Mexico, 2022, pp. 2586-2593
-
M. El. Mistiri, D. E. Rivera, O. Khan, E. Hekler, and C. A. Martin, “An Integrated System Identification and Hybrid Model Predictive Control Strategy for Optimized Interventions for Physical Activity,” in AIChE Annual Meeting, Phoenix, USA, November 16, 2022
- O. Khan, et al., “Beyond linear control approaches-sliding mode control of flexible robotic manipulator,” in International Conference on Frontiers of Information Technology, Islamabad, Pakistan, Dec 19-21, 2016, pp. 1-6
SleepWell24: Precision Medicine Approach to Optimizing Long-Term CPAP Adherence and Quality of Life
Funding Agency: American Academy of Sleep Medicine Foundation.
Grant: 2022 Strategic Research Grant
Healthy Mom Zone 2.0: Prenatal Weight Gain Intervention Using Control Systems Methodology
Collaborators: Penn State University, Arizona State University
Funding Agency: U.S. National Institutes of Health (NIH)
Grant: R01DK134863, ClinicalTrials.gov ID: NCT05807594
https://reporter.nih.gov/project-details/10764906##description
https://www.clinicaltrials.gov/study/NCT05807594
YourMove: Optimizing Individualized and Adaptive mHealth Interventions via Control Systems
Collaborators: UCSD San Diego, Arizona State University
Funding Agency: National Cancer Institute, NIH, Grant: R01CA244777, ClinicalTrials.gov ID: NCT05598996
https://reporter.nih.gov/search/CjymdNI_TEWWkjNnvM_qbA/project-details/10599617#description
https://clinicaltrials.gov/study/NCT05598996
- IT and Telecom Endowment Fund Scholarship for PhD studies at Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
- Associate Fellow for Teaching and Learning support in Higher Education according to UK
Professional Standards Framework
- Member of the IEEE
- Member of IEEE Control System Society
- Member of International Association of Engineers Hong Kong
- Registered Engineer with Pakistan Engineering Council Islamabad, Pakistan
- Co-supervised master’s and junior PhD students during my PhD at PIEAS, resulting in joint publications.
- Supervised undergraduate projects at IQRA University, fostering research skills and collaborative learning
Arizona State University, SEMTE Tempe, AZ/US
Postdoctoral Research Scholar 10/2023- Present
Projects: Healthy Mom Zone 2.0, SleepWell24, YourMove (continued work)
- Continuing collaboration with multidisciplinary teams on digital health projects, including physical activity intervention (YourMove), prenatal weight gain (Healthy Mom Zone 2.0), and CPAP adherence (SleepWell24).
- Designing and deploying real-time adaptive control algorithms using three-degrees-of-freedom Kalman filter-based Hybrid Model Predictive Control (3DoF-KF HMPC) framework for highly dynamic complex systems.
- Lead full-cycle development of real-time algorithms, resulting in improved adherence and outcome metrics for YourMove (198+ participants) and HMZ 2.0 (70+ participants).
- Lead theoretical development, software implementation, and experimental validation, resulting in 5 peer-reviewed journal publications and 8+ conference presentations. Prepared technical reports and manuscripts using professional
typesetting tools such as LaTeX. - Supervise and mentor graduate students, and helping advisor fulfill project objectives, resulting in joint publications from NIH-funded projects and a 30% increase in research output of CSEL Lab.
Southern University of Science and Technology, DMEE Shenzhen, China
Visiting Researcher 06/2023- 09/2023
- Conceptualized the development of inverse optimal control methods for finite-horizon linear quadratic regulators using system identification, enabling data-driven tuning of cost functions for real-world applications.
Arizona State University, SEMTE Tempe, AZ/US
Postdoctoral Research Scholar 10/2021- 10/2022
Project: Yourmove
- Collaborated with cross-functional team on physical activity intervention involving 198+ participants, applying computational modeling and system identification approaches to develop control-oriented models.
- Designed and deployed a 3DoF-KF HMPC algorithm for highly dynamic MIMO systems, including supply chain management and behavioral interventions (JustWalk, Yourmove).
- Conducted real-time closed-loop testing with MATLAB/Simulink, Python, and Gurobi/CPLEX solvers, perform stability and robustness analysis through MIL/HIL/SIL simulations.
-
Achieved 100% automation in adaptive intervention delivery through integration of multi-sensor fusion, online optimization, and model-based control workflows.
IQRA University (Formerly Known as Grafton College), DEE Islamabad, Pakistan
Lecturer 09/2018 - 03/2021
- Taught modules including Control Systems Design, Optimization for Engineers, Circuit Analysis, Advanced Control System, Model Predictive Control, Differential Equations, using interactive and student-centered methods.
- •Conducted assigned lab experiments and maintained the course folders and lab folders.
- Assessment of students according to outcome-based education (OBE) system.
- Supervised final year students in their FYP projects. Development of new modules.
- Employed hands-on activities and MATLAB simulations in Control Systems and Differential Equations courses to enhance student engagement and understanding.
Pakistan Institute of Engineering and Applied Sciences, DEE Islamabad, Pakistan
Lab Instructor 09/2017 - 06/2018
- Conducted different lab experiments of electrical engineering degree program and maintained the lab folders.
- Conducted Lab Test and Viva and maintained the lab attendance record.
- Assessment of students according to outcome-based education (OBE) system.
Pakistan Institute of Engineering and Applied Sciences, DEE Islamabad, Pakistan
Doctoral Researcher/Research Associate 09/2016 - 12-2020
- Designed an observer-based min-max robust MPC algorithm for non-uniformly sampled systems, tackling time-varying control intervals in embedded networks and enhancing real-time stability, performance, and cutting computation time by 60%.
- Developed a fault-tolerant robust MPC scheme for actuator-fault-prone systems, achieving over 70% fault compensation under time delays, ensuring stability and performance.
Swabi Institute of Technology Swabi Swabi, Pakistan
Senior Instructor (Electrical Technology) 10/2011 - 01-2014
- Taught diploma courses related to Electrical Engineering Technology in a vocational training program