Navid Hashemi

Navid Hashemi

Assistant 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

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Research Lab

Dr. Hashemi with students in the DMC lab

Data Mining & Connectivity Lab
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Courses Taught

CSCI 221 - Computer Programming II

CSCI 334 - Data Mining

CSIS 656 - Software Systems Design and Implementation

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

DATA 101 - Introduction to Data Science

DATA 505 - Computational Data Science and Analytics

DATA 534 - Machine Learning

DATA 698 - Data Science Practicum

Selected Publications

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