Research focus 01
AI-Powered Infoveillance
AI-powered infoveillance during global health crises.
Research focus 01
AI-powered infoveillance during global health crises.
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Profile
Assistant Professor, Electrical Engineering and Computer Science, South Dakota School of Mines and Technology.
Dr. Nirmalya Thakur is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the South Dakota School of Mines and Technology. He completed his PhD at the University of Cincinnati, where he received numerous accolades, including the Dean's Fellowship, the Distinguished Thesis Award, the Interdisciplinary Research Fellowship, the Risk Management Awareness Award, and the Engineer of the Month Award. His research interests include Big Data, Data Analysis, Human-Computer Interaction, Machine Learning, and Natural Language Processing. He has co-authored over 50 peer-reviewed publications in leading journals and conferences, focusing on addressing critical societal challenges through innovative, data-driven, and impactful solutions.
He has been interviewed by IEEE TV, featured on the cover page of Millennium Magazine, in the American Scientist Magazine, on Black Hills Pioneer, Yahoo News, Business Insider, and on multiple other news outlets for his contributions to the field of Computer Science. Dr. Nirmalya Thakur has been recognized by the IEEE Computer Society as one of the Top 30 Early Career Professionals of 2024.
Dr. Thakur is the Director of the Data-Driven Innovations for Health, Technology and Society (DDIHTS) Lab at South Dakota Mines. Visit www.ddihts.com to learn more.
Research
Dr. Nirmalya Thakur directs the Data-Driven Innovations for Health, Technology and Society (DDIHTS) Lab. At the DDIHTS Lab, research focuses on applying artificial intelligence, machine learning, natural language processing, data science, and human-computer interaction to study how public sentiment, misinformation, fear, and anxiety emerge and evolve during global health crises such as COVID-19, Mpox, Measles, and Disease X. The team examines public discourse across social media platforms including X, YouTube, TikTok, Instagram, and Reddit by conducting sentiment analysis, topic modeling, subjectivity analysis, anxiety detection, and toxicity analysis, to investigate how conversations shift across languages and regions during global health crises. This work reveals how communities respond to public health challenges, how conspiracy theories and fake news spread, how emotional reactions evolve in response to new variants of a virus, policy updates, or developments in outbreaks, and how early indicators of misinformation or social resistance can be detected. The lab also develops solutions for healthy aging through assistive technologies for smart homes, including activity recognition, fall detection, and emotion-aware systems, to promote independence and enhance the quality of life for older adults.
Developing AI-powered infoveillance frameworks to study how misinformation, conspiracy theories, public sentiment, anxiety, and risk perceptions emerge and evolve during global health crises.
Analyzing multilingual discourse across social media platforms including X, YouTube, TikTok, Instagram, and Reddit using sentiment analysis, topic modeling, subjectivity analysis, anxiety detection, toxicity analysis, and language analysis.
Building smart-home and AI-driven systems for fall detection, activity recognition, indoor localization, and personalized support for older adults.
Scholarship
Impact factor source: Journal Citation Reports, https://jcr.clarivate.com/jcr/
HCII 2026 · Montreal, Canada
IEEE CCWC 2026 · Nevada, United States
IEEE CCWC 2026 · Nevada, United States
IEEE IEMCON 2025 · Berkeley, United States
IEEE IEMCON 2025 · Berkeley, United States
IEEE UEMCON 2025 · New York, United States
HCII 2025 · Gothenburg, Sweden
HCII 2025 · Gothenburg, Sweden
IEEE CCWC 2025 · Nevada, United States
IEEE CCWC 2025 · Nevada, United States
Journal of Computation · Journal Article
HCII 2024 · Washington, United States
HCII 2024 · Washington, United States
IHIET 2024 · Venice, Italy
HCII 2024 · Washington, United States
Journal of Computers · Journal Article
Journal of Computation · Journal Article
Journal of Future Internet · Journal Article
Journal of Data · Journal Article
Journal of Applied System Innovation · Journal Article
Journal of Computers · Journal Article
Journal of Big Data and Cognitive Computing · Journal Article
HCII 2023 · Copenhagen, Denmark
HCII 2023 · Copenhagen, Denmark
CSSE 2022 · Guilin, China
Journal of Infectious Disease Reports · Journal Article
Journal of Analytics · Journal Article
Journal of Information · Journal Article
Journal of Data · Journal Article
Journal of COVID · Journal Article
IHIET-AI 2022 · Lausanne, Switzerland
IHIET-AI 2022 · Lausanne, Switzerland
IHIET-AI 2022 · Lausanne, Switzerland
IHIET-AI 2022 · Lausanne, Switzerland
Journal of Big Data and Cognitive Computing · Journal Article
DSIT 2021 · Shanghai, China
Journal of Data · Journal Article
IHIET 2021 · Paris, France
IHIET 2021 · Paris, France
Journal of Information · Journal Article
IHIET 2021 · Paris, France
Journal of Sensor and Actuator Networks · Journal Article
Journal of Information · Journal Article
Journal of Advances in AI & ML · Journal Article
IHIET 2020 · Paris, France
IHIET 2020 · Paris, France
IHIET 2020 · Paris, France
IHIET 2020 · Paris, France
IHIET 2020 · Paris, France
HCII 2020 · Copenhagen, Denmark
HCII 2020 · Copenhagen, Denmark
ICBAIE 2020 · Fuzhou, China
ICBAIE 2020 · Fuzhou, China
IJHCI · Journal Article
IJHCI · Journal Article
Software and Systems Reuse 2019 · Ohio, United States
IEEE IEMCON 2018 · Vancouver, Canada
IEEE IEMCON 2018 · Vancouver, Canada
IoT 2018 · Santa Barbara, United States
IoT 2018 · Santa Barbara, United States
SOPS Research Symposium 2018 · Kentucky, United States
IEEE 5GWF 2018 · Santa Clara, United States
IT Research Symposium 2018 · Cincinnati, United States
IEEE CCWC 2018 · Las Vegas, United States
Recognition
Named as one of Top 30 Early Career Professionals by the IEEE Computer Society
Received the Best Presenter Award at the 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2025) Nevada, United States
Recipient of the Outstanding Reviewer Award from the Journal of Future Internet
Recipient of the Best Paper Award from the Journal of Information
Recipient of the Young Scientist of the Year Award at the 2nd International Business and Academic Excellence Awards (IBAE) 2020
Recipient of the Excellent Researcher of the Year Award at the 2nd International Academic and Research Excellence Awards (IARE-2020)
Recipient of the Young Innovator Award at the 2nd Universal Innovators Leadership Awards
Recipient of the Best Presenter Award at the 5th International Conference on Data Science, and Information Technology (DSIT 2022)
Certificiate of Apprecitation from the IEEE World AI IoT Congress for outstanding contribution as a Reviewer
Certificiate of Apprecitation from European Alliance for Innovation for outstanding contribution as a Reviewer for the 9th EAI MobiHealth Conference
Recipient of the Risk Management Award from the University of Cincinnati for conducting breakthrough research that addresses multiple risks associating with aging in Smart Homes
Recipient of the University of Cincinnati's Distinguished Thesis Award
Recipient of the Engineer of the Month Award from the College of Engineering and Applied Sciences at the University of Cincinnati
Elected as a Full Member of Sigma Xi - The Scientific Research Honor Society
Featured by Black Hills Pioneer for inclusion in the Stanford–Elsevier global list of top 2% scientists
Featured by MSN for Developing the First Emotion-Driven Navigation System for AI
Invited to speak in the IEEE Systems Council Early Career Speakers Program
Interviewed by IEEE TV for contributions to the field of Computer Science
Featured on the Cover Page of Millennium Magazine
"Smart on the Inside: Towards an Indoor Localization-Enabled, Age-friendly Intelligent Environment" - Press Release about the findings of one of his journal papers on Indoor Localization
"The Future of Intelligent Assisted Living Is Here: Falls in the Elderly Can Now Be Detected With Almost 100-Percent Accuracy" - Press Release about the findings of one of his journal papers on Assisted Living
Findings from one of his journal paper's on COVID-19 Featured on the website of World Health Organization
Featured in the American Scientist Magazine after receiving a Grants in Aid of Research from the National Academy of Sciences
Biography featured by Marquis Who’s Who in 2020 for Excellence in Human-Computer Interaction Research
Biography featured by Marquis Who’s Who in 2019 for Outstanding Contributions to the field of Computer Science
Advising
Dr. Nirmalya Thakur directs the Data-Driven Innovations for Health, Technology and Society (DDIHTS) Lab.
Teaching
Service
Opportunity
Graduate and Undergraduate Research Opportunities: The Data-Driven Innovations for Health, Technology and Society (DDIHTS) Lab, directed by Dr. Nirmalya Thakur, has openings for 1 graduate student and 2–3 undergraduate students to join upcoming research projects at the intersections of Big Data, Artificial Intelligence, and Data Analysis. These projects will involve working with and extending state-of-the-art Large Language Models such as ChatGPT and beyond.
Requirements:
To apply, please email a CV or résumé and a brief statement summarizing your research interests, relevant experience, and availability to Dr. Nirmalya Thakur at nirmalya.thakur@sdsmt.edu.
Please note: As available projects vary in scope, responsibilities, technical requirements, and expected level of preparation, applications are reviewed competitively based on the relevance and depth of preparation demonstrated through completed coursework, prior research, or project experience. Meeting the minimum requirements does not guarantee selection.
Contact
Assistant Professor · Electrical Engineering and Computer Science · South Dakota School of Mines and Technology
nirmalya.thakur@sdsmt.edu