Navid Hashemi

Associate Professor, Graduate Program Director MS in Data Science and Analytics

Education

PhD Computer Science - Data Science, The University of Georgia

Research Interests

Artificial Intelligence, Spatiotemporal Data Mining, Internet of Things, Crowdsourcing, Environmental Informatics, and Health Informatics

Courses Taught

CSCI 221 - Computer Programming II

CSCI 334 - Data Mining

CSIS 691/CSCI 399/CSCI 499 - Research in Artificial Intelligence 

DATA 101 - Introduction to Data Science

DATA 221 - Applied Data Analytics 

DATA 505 - Computational Data Science and Analytics

DATA 534 - Artificial Intelligence and Machine Learning

DATA 698 - Data Science Practicum

Selected Publications

Navid Hashemi, Saber Soleymani, "Socratic Method Revisited: Human-AI Dialogue for Knowledge Creation and Internalization", 59th Hawaii International Conference on System Sciences (HICSS 2026)

Aschenbrenner Oliver, Navid Hashemi, Mackenzie Kramer, and Abe Mollalo. “Long-term Exposure to Air Pollutants and Alzheimer’s Disease Dementia Prevalence Across the Contiguous United States: An Explainable Machine Learning Analysis.” IEEE-EMBS International Conference on Biomedical and Health Informatics 2025, (BHI 2025)

Wish Shao, Abolfazl Mollalo, Navid Hashemi, "Spatio-temporal Analysis of Foot Traffic Dynamics in Charleston County, South Carolina: Before, During, and After COVID-19", Geospatial health 20.1, 2025

Guiu Puigcercos i Vilar, Parvez Rashid, Navid Hashemi, "Accessible and Reliable AI Coding Tutors: Augmenting Large Language Models with Retrieval-Augmented Generation for Java Programming", 16th IEEE Global Engineering Education Conference (IEEE EDUCON’25)

Latherial Calbert, Navid Hashemi, “Temporal Dynamics of Classroom Stress: Insights from Wearable Sensors & Machine Learning”, 23rd International Conference on Machine Learning & Applications (ICMLA’24)

Cayden Dunn, Navid Hashemi, Transforming Generative Large Language Models’ Limitations into Strengths using Gestalt: A Synergetic Approach to Mathematical Problem-Solving with Computational Engines, 57th Hawaii International Conference on System Sciences 2024 (HICSS'24) [Nominated for Best Paper Award]

Rickens, Bryan, Navid Hashemi, Towards High Resolution Urban Heat Analysis: Incorporating Thermal Drones to Enhance Satellite Based Urban Heatmaps. Companion Proceedings of the ACM Web Conference 2023 (WWW’23)

Ashley Dowd, Navid Hashemi, Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing, 21st IEEE International Conference on Machine Learning and Applications (ICMLA'22), 2022

Yanzhe Yin, A. Grundstein, D. Mishra, L. Ramaswamy, Navid Hashemi, J. Dowd, DTEx: A dynamic urban thermal exposure index based on human mobility patterns, Environment International Journal, 155, 106573, 2021

Yanzhe Yin, Navid Hashemi, Andrew Grundstein, Deepak Mishra, Lakshmish Ramaswamy, Urban Heat Hazard Analysis Using Smart Mobile Sensor, Journal of Computers, Environment and Urban Systems, Elsevier, 2020

Navid Hashemi, Lakshmish Ramaswamy, Deepak Mishra, Omid Setayeshfar, Sorush Omidvar, Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection, 2020 International Conference on Internet of Things (ICIOT 2020)

Honors and Awards

Richard Crosby Distinguished Teaching Chair, College of Charleston, 2022-2024