Welcome to the Spatial Intelligence and Risk Informatics Team! Here, I have the pleasure of mentoring a diverse group of enthusiastic and talented graduate, undergraduate, and school students each year. Our research group is all about fostering a friendly, supportive, and inclusive environment where everyone's ideas are valued. We work on a variety of fascinating projects, always encouraging creativity and collaboration. I believe in open communication, mutual respect, and providing lots of opportunities for personal and professional growth. Together, we learn, explore, and push the boundaries of our knowledge, all while maintaining a positive and relaxed atmosphere. In this team, curiosity and dedication drive our success, and we have a lot of fun along the way.

Team and Culture

2023 - 2024

2024 - 2025

2022 - 2023

2020 - 2021

Aarsh Patel
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: Diabetic Retinopathy Detection Through Deep Learning Techniques

Tejodbhav Koduru
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: Mental Health Assessment Mobile Application Development

Meet the amazing students who have been part of our team over the years! Each year, I'm fortunate to work with a diverse group of school, undergraduate, and graduate students who bring their enthusiasm, creativity, and dedication to our research projects. Their unique contributions and hard work are the heart of our success. Here are their photos and research highlights, showcasing the incredible journey we've taken together.

Our Brilliant Researchers

2021 - 2022

Chenfei Hu
Undergrad Student
(Mathematics and Statistic)
University of Illinois Urbana-Champaign, USA 

Areas of Research: Application of Time Series Analysis for Predicting COVID-19 Pandemic

a man in a suit and tie smiling
a man in a suit and tie smiling
Vish Gopal Sekar
Undergrad Student
(Computer Science)
University of Illinois Urbana-Champaign, USA 

Areas of Research: Wastewater based Epidemiology Data Trend Assessment

Arya Dadhania
Medical Student,
University of Illinois at Chicago, USA

Areas of Research: Classification of Lung and Colon Cancer Using Deep Learning Method-

Karan Jogi
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: Diabetes Risk Assessment and Vulnerability Modeling in Chicago

Aditya Nair
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: COVID-19 Vulnerability Driven WBE Site Selection Strategy

Nitish Dewan
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: MRI-based Deep Learning Model for Detection of Alzheimer's Disease

Saaketh Kosaraju
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: Analyzing the Association Between Different Air Pollutants and Diabetes

Raj Mehta
Graduate Student
(Computer Science)
University of Illinois at Chicago, USA

Areas of Research: Automated AI-ML Platform Development for Democratic Data Analytics

Saye Vikram Karthikeyan
School Student
(Junior)
Waubonsie Valley High School

Areas of Research: Analyzing the Relationship between Air Pollutants and COVID-19 Impact Indicators