Faculty
- Controls and Dynamical Systems
- Learning-Based Control
- Information and Decision Systems
- Machine Learning
- Modeling and System Identification
Grants
- National Science Foundation (FDT-Biotech), 2024-2027, $307,774 Lead PI (100%)
- National Aeronautics and Space Administration (MIRO), 2024-2029, $399,690 co-PI (8%)
- Mathworks Academic Support 2024 $13,309.00 PI (100%)
- National Science Foundation CAREER (CMMI DCSD), 2024-2029, $655,248 PI (100%)
- Diatech Diabetes Inc. / Juvenile Diabetes Research Foundation (IDDP), 2023-25, $120,000 PI (100%)
- U.S. Air Force Office for Scientific Research (AFRL ML-RCP), 2023-25 $200,000 PI (50%)
- U.S. Air Force Office for Scientific Research (AFRL ML-RCP), 2022-24 $249,990 PI (40%)
- University of Houston, Advanced Manufacturing Institute, 2022, $49,674 co-PI (33%)
- Diatech Diabetes Inc. / National Institutes of Health (SBIR Phase 1), 2021-2022, $52,170 PI (100%)
Data-Enabled Neural Multi-Step Predictive Control (DeMuSPc): a Learning- Based Predictive and Adaptive Control Approach for Complex Nonlinear Systems.
Learning Blood Glucose Predictors with Artificial Neural Networks for decision support systems and closed-loop glucose control.
Data-Driven Physiology-Based Predictive Digital Twin of Human Physiological Systems.
Decision Support for Insulin Dosage Optimization.
Personalized Insulin Infusion Failure Detection Algorithms.
Run time assurance (RTA) approaches for safe control of autonomous platforms in adverse and hazardous conditions.
Safe kinodynamic motion planning for autonomous platforms.
Development of novel algorithms for collaborative satellite autonomy.
2019 – 2024: David C. Zimmerman Faculty Fellowship, University of Houston.
2024: National Science Foundation Faculty Early Career Development Program (CAREER)
2024: Diabetes Technology Society Student Research Award, Bronze prize winner. (as advisor)
2023: Cornelis Drebbel Faculty Fellowship
2020: Diabetes Technology Society Student Research Award, Silver prize winner. (as advisor)
2018: Diabetes Technology Society Student Research Award, Gold prize winner (as advisor)
Selected Publications
- E.M. Aiello, M. Jaloli, and M. Cescon. Model Predictive Control (MPC) of an Artificial Pancreas with Data-Driven Learning of Multi-Step-Ahead Blood Glucose Predictors. Control Engineering Practice, Vol 144, 105810 (2024), arXiv preprint arXiv:2307.12015.
- M. Jaloli, and M. Cescon. Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology. Control Engineering Practice,Vol. 142, 2024, pp. 105762, DOI: 10.1016/j.conengprac.2023.105762.
- D. Cai, W. Wu, M. Cescon, W. Liu, L. Ji, D. Shi (2023). Data-enabled learning and control algorithms for intelligent glucose management: The state of the art. Annual Reviews in Control, 2023, Vol. 56, pp. 100897. DOI: 10.1016/j.arcontrol.2023.100897.
- M. Cescon, S. Deshpande, R. Nimri, F. J. Doyle III, E. Dassau. Using Iterative Learning for Insulin Dosage Optimization in Multiple-Daily-Injections Therapy for People with Type 1 Diabetes, in IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, pp. 482-491, Feb. 2021, doi: 10.1109/TBME.2020.3005622.
- T. Tanaka, H. Malki and M. Cescon. Linear Quadratic Tracking with Reinforcement Learning Based Reference Trajectory Optimization for the Lunar Hopper in Simulated Environment. IEEE Access 2021, vol. 9, pp. 162973-162983. https://doi.org/10.1109/ACCESS.2021.3134592.
- M. Cescon, D. Choudhary, J.E. Pinsker, V. Dadlani, M. M. Church, Y.C. Kudva, F. J. III Doyle, and E. Dassau. Activity detection and classification from wristband accelerometer data collected on people with type 1 diabetes in free-living conditions. Computers in Biology and Medicine, 135, 104633, Aug 2021
Patents
- Iterative Learning Control with Sparse Measurements for Long Acting Insulin Injections in People with Type 1 Diabetes Inventors: Marzia Cescon, E. Dassau, F. J. III Doyle
U.S. Provisional Application No.: 62/872,020
Date: July 2019 - Activity Detection and Categorization in Diabetic Patients
Inventors: Marzia Cescon, E. Dassau, F. J. III Doyle
U.S. Provisional Application No.: 62/758,283
Date: November 2018