Eslam Montaser, PhD 

Dr. Eslam Montaser received his B.Sc in Statistics and Computer science and M.Sc degree in Statistics and Computer science from the Department of Mathematics, Mansoura University, Egypt in 2006 and 2007, respectively. In 2013, he received the M.Sc degree in Mathematical Engineering from the Department of Mathematics, Universidad Carlos III de Madrid, Spain. In 2014, he have been a researcher in the Tecnología UCM research group at the Universidad Complutense de Madrid, Spain. In 2017, he have been a visiting researcher at the Illinois Institute of Technology (IIT), Chicago, IL, USA. In 2020, Dr. Montaser received a Ph.D. degree in automation, robotics, and industrial computer science from the Universitat Politècnica de València (UPV), València, Spain. His main research interests include data analysis, stochastic modeling and data mining in diabetes, statistical pattern recognition, time series analysis, machine learning, mathematical modeling, big data analysis, biomedical applications, and predictive modeling of physiological systems. In 2021, he joined the Center for Diabetes Technology (CDT) as a research associate. Aside from work, Dr. Montaser enjoys playing soccer, tennis table, running, and family time.

Professional Education:

• Ph.D. degree in automation, robotics, and industrial computer science from the Universitat Politècnica de València (UPV), València, Spain (2020).​
• M.Sc degree in Mathematical Engineering from the Department of Mathematics, Universidad Carlos III de Madrid, Spain (2013).​
• M.Sc degree in Statistics and Computer science from the Department of Mathematics, Mansoura University, Egypt (2007).​
• B.Sc in Statistics and Computer science and M.Sc degree in Statistics and Computer science from the Department of Mathematics, Mansoura University, Egypt (2006).

Publications:​

• Montaser, E., Díez, J. L., & Bondia, J. (2021). Glucose Prediction under Variable-Length Time-Stamped Daily Events: A Seasonal Stochastic Local Modeling Framework. Sensors, 21(9), 3188.​
• Montaser, E., Díez, J. L., Rossetti, P., Rashid, M., Cinar, A., & Bondia, J. (2019). Seasonal Local Models for Glucose Prediction in Type 1 Diabetes. IEEE journal of biomedical and health informatics, 24(7), 2064-2072.​
• Montaser, E., Díez, J. L., & Bondia, J. (2017). Stochastic seasonal models for glucose prediction in the artificial pancreas. Journal of diabetes science and technology, 11(6), 1124-1131.​
• Rossetti, P., Quiros, C., Moscardo, V., Comas, A., Giménez, M., Ampudia-Blasco, F.J., León, F., Montaser, E., Conget, I., Bondia, J. and Vehí, J., 2017. Closed-loop control of postprandial glycemia using an insulin-on-board limitation through continuous action on glucose target. Diabetes technology & therapeutics, 19(6), pp.355-362

Patent/Grant:

• Patent- Eslam, Montaser Roushdi Ali; Jorge, Bondía Company; José-Luís, Diez. Method and System for Enhancing Glucose Prediction, US17/143,572. 07 January 2021.​​
•  Grant for Ph.D., Predoctoral Contract (BES-2014-069253) (07/04/15 – 09/04/19), HR funding.  MINISTRY OF ECONOMY AND BUSINESS, València, Spain, 2015.

​Thesis:

• Ph.D. thesis- Stochastic Seasonal Models For Glucose Prediction In Type 1 Diabetes. Universitat Politècnica de València. EXCELLENT. Awarded international and awarded Cum laude, January 2020.​
• M.Sc thesis- Propagation of viral infections with mobility restrictions. Universidad Carlos III de Madrid, April 2013.

Conference Abstracts/Posters:

• Montaser, E., Díez, J.L., and Bondia, J. (2020). Stochastic seasonal models for glucose prediction in type 1 diabetes under free-living conditions, In 13th International Conference on Advanced Technologies & Treatments for Diabetes, Madrid, Spain.​
• Díez, J.L, Montaser, E., Rashid, M., Cinar, A., and Bondia, J. (2019). Fuzzy clustering based seasonal stochastic local modeling framework for glucose prediction in type 1 diabetes, In 12th International Conference on Advanced Technologies & Treatments for Diabetes, Berlin, Germany.​
• Montaser, E., Díez, J.L., and Bondia, J. (2017). Stochastic seasonal models for glucose prediction in type 1 diabetes, In 10th International Conference on Advanced Technologies & Treatments for Diabetes, Paris, France.​
• Quirós, C., Giménez, M., Rossetti, P., Moscardo, V., Comas, A., Ampudia-Blasco, F.J., León, F., Montaser, E., Conget, I., Bondia, J., and Vehí, J. (2016b). Better postprandial glucose control with a new closed-loop system as compared with open-loop treatment in patients with type 1 diabetes, In European Association for the Study of Diabetes Annual Meeting, Munich, Germany.​
• Rossetti, P., Quirós, C., Moscardo, V., Comas, A., Giménez, M., Ampudia-Blasco, F.J., León, F., Montaser, E., Conget, I., Bondia, J., and Vehí, J. (2016a). Better postprandial glucose control with a new developed closed-loop control system as compared with open-loop treatment in patients with type 1 diabetes, In 76th American Diabetes Association Scientific Sessions, New Orleans, Louisiana, USA.