Mudassir Rashid

Research Assistant Professor

Illinois Institute of Technology

United States

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Mudassir Rashid is a Research Assistant Professor at the Illinois Institute of Technology in the United States. His research focuses on diabetes management, particularly through the use of artificial intelligence and signal processing. Recent articles include developments in simulating Type 1 diabetes, detecting psychological stress, and enhancing automated insulin delivery systems. He aims to improve treatment outcomes through innovative technological solutions tailored for individuals with diabetes.

Articles (13)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (3)

Ali Cinar

Professor and Director

Illinois Institute of Technology

UNITED STATES

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Keigo Kawaji

Associate Professor

Illinois Institute of Technology

UNITED STATES

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Minsun Park

The University of Illinois at Chicago

UNITED STATES

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Mudassir Rashid

Research Interests

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Articles (13)

py-mgipsim: An Open-Source Python Library for Simulating Type 1 Diabetes With Diverse Meals and Physical Activities

Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery

Identification of Glucagon Secretion Patterns during an Oral Glucose Tolerance Test

Prior-knowledge-embedded model predictive control for blood glucose regulation: Towards efficient and safe artificial pancreas

Multi-Task Classification of Physical Activity and Acute Psychological Stress for Advanced Diabetes Treatment

Multivariable Automated Insulin Delivery System for Handling Planned and Spontaneous Physical Activities

A physical activity-intensity driven glycemic model for type 1 diabetes

Detection and Classification of Unannounced Physical Activities and Acute Psychological Stress Events for Interventions in Diabetes Treatment

Artificial Intelligence Algorithms for Treatment of Diabetes

Detection of Meals and Physical Activity Events From Free-Living Data of People With Diabetes

Meal and Physical Activity Detection from Free-Living Data for Discovering Disturbance Patterns of Glucose Levels in People with Diabetes

Kernel-Regularized Latent-Variable Regression Models for Dynamic Processes

Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems

Collaborators (3)

Ali Cinar

Keigo Kawaji

Minsun Park

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