Areas of Expertise:

Knowledge Discovery and Data Mining
Evolutionary Computing
Data Science
Geographical Information Systems (GIS)
Artificial Intelligence

Current Research Projects:

Spatial and Spatio-temporal Data Analysis Frameworks and their Application to Emotion and Anxiety Analysis and to Understanding COVID-19 Causes and Effects
St**2—Tools for Data Storytelling
Collocation Mining
Using AI to Enhance MRI Scanning and Analysis (jointly with Nikos Tsekos)
Summarization Techniques for Large Sets of Tweets
Reinforcment Learning
Role of Social Media with Respect to COVID-19 Related Stress and Anxiety
Agent-based Infectious Disease Spread Models with Applications to COVID-19
Educational Data Mining (jointly with Nouhad Rizk)

Students

I have or had the privilege of conducting research with the following students in the last 18 months:

PhD Students: Steve Aigbe, Karima Elgarroussi, Md. Mahin, Anukriti Mishra, Raunak Sarbajna, and Chong Wang.
Master Students: Aparna Budhavarapu, Anjana Kummari, Anusha Nemilidinne, Hoang Vo, Parth Sanghani and Akhil Talari.
Undergraduate Students: Max Broekhuis, Max Deniz Burduroglu, Lingwei Kong, Ashish Nare, Dwija Parikh and Tuyen Cao.
Visiting/Exchange Students: Riya Brahmbhatt, Haard Metha and Oumaima Mouali.
Contributing Alumni: Sujing Wang and Paul Amalaman.

Teaching

2011-2013, I served as the Associate Chairman for the Department of Computer Science. I served on the Faculty Search Committee 2005-2006 and 2007-2010 and 2014-16. I also served as the Director of Graduate Studies for the Computer Science Department from September 2001 to November 2004. In recent years I served on the program committee for the IEEE International Conference on Data Mining 2006-2013 and 2016-2021 (ICDM), for the International Symposium on Methodologies for Intelligent Systems (ISMIS), the Transdisciplinary AI Conference and AAAI 2019 (took place in Honolulu, Hawaii end of January 2019).

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