Dr. Nirmalya Thakur

Nirmalya Thakur

Research focus 01

AI-Powered Infoveillance

AI-powered infoveillance during global health crises.

Explore this direction

Hover to preview · click to bring a point forward · drag to rotate Tap a point to bring it forward · swipe to rotate

Scroll

Profile

About Dr. Nirmalya Thakur

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.

Position
Assistant Professor, Electrical Engineering and Computer Science
Institution
South Dakota School of Mines and Technology
Publication Record
Over 50 peer-reviewed publications in leading journals and conferences
Recognition
IEEE Computer Society Top 30 Early Career Professionals of 2024

Research

Data-Driven Innovations for Health, Technology and Society

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.

01

AI-Powered Infoveillance

Developing AI-powered infoveillance frameworks to study how misinformation, conspiracy theories, public sentiment, anxiety, and risk perceptions emerge and evolve during global health crises.

Global health crisesMisinformationPublic sentiment
02

Social Media Analytics

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.

XYouTubeTikTokInstagramReddit
03

Assistive Intelligence for Healthy Aging

Building smart-home and AI-driven systems for fall detection, activity recognition, indoor localization, and personalized support for older adults.

Fall detectionActivity recognitionIndoor localization

Scholarship

Peer-Reviewed Publications

Impact factor source: Journal Citation Reports, https://jcr.clarivate.com/jcr/

2026

  • HCII 2026Montreal, CanadaClickbait DetectionTransformer-Based Text ClassificationAccepted

    Clickbait Detection in Late Pandemic COVID-19 YouTube Videos Using Transformer Models and GPT-2

    Bijay Bharati and Nirmalya Thakur

    HCII 2026 · Montreal, Canada

    Citation and publication details
    Bijay Bharati and Nirmalya Thakur , "Clickbait Detection in Late Pandemic COVID-19 YouTube Videos Using Transformer Models and GPT-2", Proceedings of the 28th International Conference on Human-Computer Interaction (HCII 2026), Montreal, Canada, July 26-31, 2026 (Accepted for Publication)
  • IEEE CCWC 2026Nevada, United StatesThumbnail–Title AlignmentEngagement Modeling

    COVID-19 YouTube Videos in the Late Pandemic: How Faces Detected on Thumbnails and Alignment of Thumbnails with Titles and Descriptions Relate to Engagement?

    Nirmalya Thakur, Fletcher Anderson, Faria Nishat Khan and Steve Nathan De Sa

    IEEE CCWC 2026 · Nevada, United States

    Citation and publication details
    Nirmalya Thakur , Fletcher Anderson, Faria Nishat Khan and Steve Nathan De Sa, "COVID-19 YouTube Videos in the Late Pandemic: How Faces Detected on Thumbnails and Alignment of Thumbnails with Titles and Descriptions Relate to Engagement?", Proceedings of the 16th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2026) Nevada, United States, January 5-7, 2026
  • IEEE CCWC 2026Nevada, United StatesRobot-Assisted Fall ManagementElderly Care Systems

    Fall-Assist Companion: An Intelligent System for Robot-Assisted Fall Management to Support Elderly Care

    Nirmalya Thakur

    IEEE CCWC 2026 · Nevada, United States

    Citation and publication details
    Nirmalya Thakur , "Fall-Assist Companion: An Intelligent System for Robot-Assisted Fall Management to Support Elderly Care", Proceedings of the 16th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2026) Nevada, United States, January 5-7, 2026

2025

  • IEEE IEMCON 2025Berkeley, United StatesOutbreak Communication AnalysisToxicity Detection

    Early Reactions to Measles and Chikungunya on TikTok: Which Outbreak Triggered More Fear, Toxicity, and Identity Attack?

    Nirmalya Thakur and Faria Nishat Khan

    IEEE IEMCON 2025 · Berkeley, United States

    Citation and publication details
    Nirmalya Thakur and Faria Nishat Khan, "Early Reactions to Measles and Chikungunya on TikTok: Which Outbreak Triggered More Fear, Toxicity, and Identity Attack?", Proceedings of the 16th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE IEMCON 2025), Berkeley, United States, October 29-31, 2025
  • IEEE IEMCON 2025Berkeley, United StatesAutonomous Agent ModelingAffective Computing

    A Memory-Aware Valence Framework for Avoidance, Recovery, and Goal Pursuit in Autonomous Agents

    Nirmalya Thakur

    IEEE IEMCON 2025 · Berkeley, United States

    Citation and publication details
    Nirmalya Thakur , "A Memory-Aware Valence Framework for Avoidance, Recovery, and Goal Pursuit in Autonomous Agents", Proceedings of the 16th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE IEMCON 2025), Berkeley, United States, October 29-31, 2025
  • IEEE UEMCON 2025New York, United StatesVideo Engagement AnalyticsContent Trend Analysis

    Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic

    Nirmalya Thakur, Madeline D Hartel, Lane Michael Boden, Dallas Enriquez, and Boston Joyner Ricks

    IEEE UEMCON 2025 · New York, United States

    Citation and publication details
    Nirmalya Thakur , Madeline D Hartel, Lane Michael Boden, Dallas Enriquez, and Boston Joyner Ricks, "Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic", Proceedings of the 16th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON), New York, United States, October 22-25, 2025
  • HCII 2025Gothenburg, SwedenMisinformation DetectionConspiracy Theory Analysis

    Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports

    Nirmalya Thakur, Mingchen Shao, Victoria Knieling, Vanessa Su, Andrew Bian, and Hongseok Jeong

    HCII 2025 · Gothenburg, Sweden

    Citation and publication details
    Nirmalya Thakur , Mingchen Shao, Victoria Knieling, Vanessa Su, Andrew Bian, and Hongseok Jeong, "Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports", Proceedings of the 27th International Conference on Human-Computer Interaction (HCII 2025), Gothenburg, Sweden, June 22 - June 27, 2025
View all publications from 2025 Hide additional publications from 2025 3 additional publications
  • HCII 2025Gothenburg, SwedenZero-Shot ClassificationLong COVID Discourse

    Systematic Classification of Studies Investigating Social Media Conversations about Long COVID Using a Novel Zero-Shot Transformer Framework

    Nirmalya Thakur, Niven Fernandes, and Marc Tchona

    HCII 2025 · Gothenburg, Sweden

    Citation and publication details
    Nirmalya Thakur , Niven Fernandes, and Marc Tchona, "Systematic Classification of Studies Investigating Social Media Conversations about Long COVID Using a Novel Zero-Shot Transformer Framework", Proceedings of the 27th International Conference on Human-Computer Interaction (HCII 2025), Gothenburg, Sweden, June 22 - June 27, 2025
  • IEEE CCWC 2025Nevada, United StatesSentiment Index DevelopmentPublic Response Modeling

    Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index

    Nirmalya Thakur, Kesha A. Patel, Audrey Poon, Shuqi Cui, Nazif Azizi, Rishika Shah, and Riyan Shah

    IEEE CCWC 2025 · Nevada, United States

    Citation and publication details
    Nirmalya Thakur , Kesha A. Patel, Audrey Poon, Shuqi Cui, Nazif Azizi, Rishika Shah, and Riyan Shah, "Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index", Proceedings of the 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2025) Nevada, United States
  • IEEE CCWC 2025Nevada, United StatesContent Recommendation AnalysisToxicity Detection

    COVID-19 on YouTube: a Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations

    Vanessa Su and Nirmalya Thakur

    IEEE CCWC 2025 · Nevada, United States

    Citation and publication details
    Vanessa Su and Nirmalya Thakur , "COVID-19 on YouTube: a Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations", Proceedings of the 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2025) Nevada, United States

2024

  • Journal of ComputationJournal ArticleSubjectivity AnalysisDeep Learning

    Investigation of the Global Fear Associated with COVID-19 Using Subjectivity Analysis and Deep Learning

    Nirmalya Thakur, Kesha A. Patel, Audrey Poon, Rishika Shah, Nazif Azizi, and Changhee Han

    Journal of Computation · Journal Article

    Citation and publication details
    Nirmalya Thakur , Kesha A. Patel, Audrey Poon, Rishika Shah, Nazif Azizi, and Changhee Han "Investigation of the Global Fear Associated with COVID-19 Using Subjectivity Analysis and Deep Learning", Journal of Computation, Volume 12, Issue 6, Article 118 [ J, Impact Factor 1.9 ]
  • HCII 2024Washington, United StatesDataset CurationSentiment Annotation

    A labelled dataset for sentiment analysis of videos on YouTube, TikTok, and other sources about the 2024 outbreak of measles

    Nirmalya Thakur, Vanessa Su, Mingchen Shao, Kesha A. Patel, Hongseok Jeong, Victoria Knieling, and Andrew Bian

    HCII 2024 · Washington, United States

    Citation and publication details
    Nirmalya Thakur , Vanessa Su, Mingchen Shao, Kesha A. Patel, Hongseok Jeong, Victoria Knieling, and Andrew Bian, "A labelled dataset for sentiment analysis of videos on YouTube, TikTok, and other sources about the 2024 outbreak of measles", Proceedings of the 26th International Conference on Human-Computer Interaction (HCII 2024), Washington, United States, June 29 - July 4, 2024
  • HCII 2024Washington, United StatesEmoji RetrievalText Normalization

    Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and A Case Study

    Shuqi Cui, Nirmalya Thakur, and Audrey Poon

    HCII 2024 · Washington, United States

    Citation and publication details
    Shuqi Cui, Nirmalya Thakur , and Audrey Poon, "Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and A Case Study", Proceedings of the 26th International Conference on Human-Computer Interaction (HCII 2024), Washington, United States, June 29 - July 4, 2024
  • IHIET 2024Venice, ItalyMental Health AnalyticsUser Diversity Analysis

    Stress, Anxiety, and Depression in Young Adults: Findings from a User Diversity-based Analysis

    Victoria Knieling and Nirmalya Thakur

    IHIET 2024 · Venice, Italy

    Citation and publication details
    Victoria Knieling and Nirmalya Thakur , "Stress, Anxiety, and Depression in Young Adults: Findings from a User Diversity-based Analysis", Proceedings of the 12th International Conference on Human Interaction and Emerging Technologies (IHIET 2024) in Venice, Italy, August 26-28, 2024
View all publications from 2024 Hide additional publications from 2024 1 additional publication
  • HCII 2024Washington, United StatesMultimodal Misinformation AnalysisTikTok Analytics

    Dissemination of Misinformation About COVID-19 on TikTok: A Multimodal Analysis

    Kesha A. Patel and Nirmalya Thakur

    HCII 2024 · Washington, United States

    Citation and publication details
    Kesha A. Patel and Nirmalya Thakur , "Dissemination of Misinformation About COVID-19 on TikTok: A Multimodal Analysis", Proceedings of the 26th International Conference on Human-Computer Interaction (HCII 2024), Washington, United States, June 24 - July 4, 2024
Open the complete publication archive 2018–2023 · 49 publications

2023

  • Journal of ComputersJournal ArticleGender-Specific Discourse AnalysisToxicity Analysis

    Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis

    Nirmalya Thakur, Shuqi Cui, Karam Khanna, Victoria Knieling, Yuvraj Nihal Duggal, and Mingchen Shao

    Journal of Computers · Journal Article

    Citation and publication details
    Nirmalya Thakur , Shuqi Cui, Karam Khanna, Victoria Knieling, Yuvraj Nihal Duggal, and Mingchen Shao "Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis", Journal of Computers, Volume 12, Issue 11, Article 221 [ J, Impact Factor 2.6 ]
  • Journal of ComputationJournal ArticleWeb Behavior ForecastingConspiracy Theory Analysis

    Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior

    Nirmalya Thakur, Shuqi Cui, Kesha A. Patel, Nazif Azizi, Victoria Knieling, Changhee Han, Audrey Poon, and Rishika Shah

    Journal of Computation · Journal Article

    Citation and publication details
    Nirmalya Thakur , Shuqi Cui, Kesha A. Patel, Nazif Azizi, Victoria Knieling, Changhee Han, Audrey Poon, and Rishika Shah "Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior", Journal of Computation, Volume 11, Issue 11, Article 234 [ J, Impact Factor 1.9 ]
  • Journal of Future InternetJournal ArticleExoskeleton Discourse AnalysisTechnology Acceptance

    A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023

    Nirmalya Thakur, Kesha A. Patel, Audrey Poon, Rishika Shah, Nazif Azizi, and Changhee Han

    Journal of Future Internet · Journal Article

    Citation and publication details
    Nirmalya Thakur , Kesha A. Patel, Audrey Poon, Rishika Shah, Nazif Azizi, and Changhee Han "A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023", Journal of Future Internet, Volume 15, Issue 10, Article 346 [ J, Impact Factor 2.8 ]
  • Journal of DataJournal ArticleDisease X SurveillanceSearch Behavior Analytics

    A Large-Scale Dataset of Search Interests related to Disease X originating from different Geographic Regions

    Nirmalya Thakur, Shuqi Cui, Kesha A. Patel, Isabella Hall, and Yuvraj Nihal Duggal

    Journal of Data · Journal Article

    Citation and publication details
    Nirmalya Thakur , Shuqi Cui, Kesha A. Patel, Isabella Hall, and Yuvraj Nihal Duggal "A Large-Scale Dataset of Search Interests related to Disease X originating from different Geographic Regions", Journal of Data, Volume 8, Issue 11, Article 163 [ J, Impact Factor 2.2 ]
  • Journal of Applied System InnovationJournal ArticleLong COVID Self-ReportingSentiment Analysis

    Investigating and Analyzing Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis

    Nirmalya Thakur

    Journal of Applied System Innovation · Journal Article

    Citation and publication details
    Nirmalya Thakur , "Investigating and Analyzing Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis", Journal of Applied System Innovation, Volume 6, Issue 5, Article 92 [ J, Impact Factor 3.8 ]
  • Journal of ComputersJournal ArticleMpox Outbreak AnalyticsTopic Modeling

    Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets

    Nirmalya Thakur, Yuvraj Nihal Duggal, and Zihui Liu

    Journal of Computers · Journal Article

    Citation and publication details
    Nirmalya Thakur , Yuvraj Nihal Duggal, and Zihui Liu "Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets", Journal of Computers, Volume 12, Issue 10, Article 191 [ J, Impact Factor 2.6 ]
  • Journal of Big Data and Cognitive ComputingJournal ArticleComparative Discourse AnalysisSentiment Analysis

    Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox

    Nirmalya Thakur

    Journal of Big Data and Cognitive Computing · Journal Article

    Citation and publication details
    Nirmalya Thakur , "Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox", Journal of Big Data and Cognitive Computing, Volume 7, Issue 2, 2023, Article 116 link to paper [ J, Impact Factor 3.7 ]
  • HCII 2023Copenhagen, DenmarkSearch Interest MiningOnline Learning Analytics

    Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19

    Nirmalya Thakur, Karam Khanna, Shuqi Cui, Nazif Azizi, and Zihui Liu

    HCII 2023 · Copenhagen, Denmark

    Citation and publication details
    Nirmalya Thakur , Karam Khanna, Shuqi Cui, Nazif Azizi, and Zihui Liu, "Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19", Proceedings of the 25th International Conference on Human-Computer Interaction (HCII 2023), Copenhagen, Denmark, July 23-28, 2023
  • HCII 2023Copenhagen, DenmarkMental Health DiscourseUser Diversity Analysis

    Analysis of User Diversity-based Patterns of Public Discourse on Twitter in the Context of Mental Health during Online Learning Due to COVID-19

    Nirmalya Thakur, Hazel Cho, Haokun Cheng, and Hyunji Lee

    HCII 2023 · Copenhagen, Denmark

    Citation and publication details
    Nirmalya Thakur , Hazel Cho, Haokun Cheng, and Hyunji Lee, "Analysis of User Diversity-based Patterns of Public Discourse on Twitter in the Context of Mental Health during Online Learning Due to COVID-19", Proceedings of the 25th International Conference on Human-Computer Interaction (HCII 2023), Copenhagen, Denmark, July 23-28, 2023

2022

  • CSSE 2022Guilin, ChinaFall Detection TrendsWeb Search Analytics

    A Comprehensive Study to Analyze Trends in Web Search Interests Related to Fall Detection Before and After COVID-19

    Nirmalya Thakur, Isabella Hall, and Chia Y. Han

    CSSE 2022 · Guilin, China

    Citation and publication details
    Nirmalya Thakur , Isabella Hall, and Chia Y. Han, "A Comprehensive Study to Analyze Trends in Web Search Interests Related to Fall Detection Before and After COVID-19" , Proceedings of the 5th International Conference on Computer Science and Software Engineering (CSSE 2022), Guilin, China, October 21-23, 2022
  • Journal of Infectious Disease ReportsJournal ArticleOutbreak Dataset DevelopmentResearch Question Generation

    MonkeyPox2022Tweets: A Large-Scale Twitter Dataset on the 2022 Monkeypox Outbreak, Findings from Analysis of Tweets, and Open Research Questions

    Nirmalya Thakur

    Journal of Infectious Disease Reports · Journal Article

    Citation and publication details
    Nirmalya Thakur , "MonkeyPox2022Tweets: A Large-Scale Twitter Dataset on the 2022 Monkeypox Outbreak, Findings from Analysis of Tweets, and Open Research Questions" , Journal of Infectious Disease Reports, Volume 14, Issue 6, 2022, pp. 855-883 [ J, Impact Factor 3.4 ]
  • Journal of AnalyticsJournal ArticleTwitter Data MiningExoskeleton Research

    Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions

    Nirmalya Thakur

    Journal of Analytics · Journal Article

    Citation and publication details
    Nirmalya Thakur , "Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions" , Journal of Analytics, Volume 1, Issue 2, 2022, pp. 72-94 [ J ]
  • Journal of InformationJournal ArticleAmbient Assisted LivingFall Detection

    A Simplistic and Cost-Effective Design for Real-World Development of an Ambient Assisted Living System for Fall Detection and Indoor Localization: Proof-of-Concept

    Nirmalya Thakur and Chia Y. Han

    Journal of Information · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Simplistic and Cost-Effective Design for Real-World Development of an Ambient Assisted Living System for Fall Detection and Indoor Localization: Proof-of-Concept" , Journal of Information, Volume 13, Issue 8, 2022, Article 363 [ J, Impact Factor 2.4 ]
  • Journal of DataJournal ArticleLarge-Scale Dataset DevelopmentOnline Learning Analytics

    A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave

    Nirmalya Thakur

    Journal of Data · Journal Article

    Citation and publication details
    Nirmalya Thakur , "A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave" , Journal of Data, Volume 7, Issue 8, 2022, Article 109 [ J, Impact Factor 2.2 ]
  • Journal of COVIDJournal ArticleSentiment AnalysisSource Tracking

    An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection

    Nirmalya Thakur and Chia Y. Han

    Journal of COVID · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection" , Journal of COVID, Volume 2, Issue 8, 2022, pp. 1026-1049 [ J ]
  • IHIET-AI 2022Lausanne, SwitzerlandCross-National Online LearningWeb Search Analysis

    Investigating the Emergence of Online Learning in Different Countries using the 5 W’s and 1 H Approach

    Nirmalya Thakur, Isabella Hall, and Chia Y. Han

    IHIET-AI 2022 · Lausanne, Switzerland

    Citation and publication details
    Nirmalya Thakur , Isabella Hall, and Chia Y. Han, "Investigating the Emergence of Online Learning in Different Countries using the 5 W’s and 1 H Approach" , Proceedings of the 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2022), Lausanne, Switzerland, April 21-23, 2022
  • IHIET-AI 2022Lausanne, SwitzerlandOnline Learning BehaviorWeb Analytics

    Investigating the impact of COVID-19 on Online Learning-based Web Behavior

    Nirmalya Thakur, Saumick Pradhan, and Chia Y. Han

    IHIET-AI 2022 · Lausanne, Switzerland

    Citation and publication details
    Nirmalya Thakur , Saumick Pradhan, and Chia Y. Han, "Investigating the impact of COVID-19 on Online Learning-based Web Behavior" , Proceedings of the 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2022), Lausanne, Switzerland, April 21-23, 2022
  • IHIET-AI 2022Lausanne, SwitzerlandExoskeleton Perception AnalysisPublic Opinion Mining

    An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology

    Nirmalya Thakur, Cat Luong, and Chia Y. Han

    IHIET-AI 2022 · Lausanne, Switzerland

    Citation and publication details
    Nirmalya Thakur , Cat Luong, and Chia Y. Han, "An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology" , Proceedings of the 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2022), Lausanne, Switzerland, April 21-23, 2022
  • IHIET-AI 2022Lausanne, SwitzerlandRemote Learning BehaviorE-Commerce Search Analytics

    Trends in Remote Learning-based Google Shopping in the United States due to COVID-19

    Isabella Hall, Nirmalya Thakur, and Chia Y. Han

    IHIET-AI 2022 · Lausanne, Switzerland

    Citation and publication details
    Isabella Hall, Nirmalya Thakur , and Chia Y. Han, "Trends in Remote Learning-based Google Shopping in the United States due to COVID-19" , Proceedings of the 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2022), Lausanne, Switzerland, April 21-23, 2022

2021

  • Journal of Big Data and Cognitive ComputingJournal ArticleIndoor LocalizationAmbient Assisted Living

    Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments

    Nirmalya Thakur and Chia Y. Han

    Journal of Big Data and Cognitive Computing · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments" , Journal of Big Data and Cognitive Computing, Volume 5, Issue 3, 2021, Article 42 [ J, Impact Factor 3.7 ]
  • DSIT 2021Shanghai, ChinaActivity LoggingIndoor Localization

    Pervasive Activity Logging for Indoor Localization in Smart Homes

    Nirmalya Thakur and Chia Y. Han

    DSIT 2021 · Shanghai, China

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Pervasive Activity Logging for Indoor Localization in Smart Homes" , Proceedings of the 4th International Conference on Data Science and Information Technology (DSIT 2021), Shanghai, China, July 23-25, 2021
  • Journal of DataJournal ArticleFall Detection AnalyticsSearch Interest Modeling

    Country-Specific Interests towards Fall Detection from 2004–2021: An Open Access Dataset and Research Questions

    Nirmalya Thakur and Chia Y. Han

    Journal of Data · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Country-Specific Interests towards Fall Detection from 2004–2021: An Open Access Dataset and Research Questions" , Journal of Data, Volume 6, Issue 8, 2021, Article 92 [ J, Impact Factor 2.2 ]
  • IHIET 2021Paris, FranceCognitive Impairment DetectionMultimodal Analysis

    A Multimodal Approach for Early Detection of Cognitive Impairment from Tweets

    Nirmalya Thakur and Chia Y. Han

    IHIET 2021 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Multimodal Approach for Early Detection of Cognitive Impairment from Tweets" , Proceedings of the 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021), Paris, France, August 27-29, 2021
  • IHIET 2021Paris, FranceLocation Detection AnalysisGoogle Trends Analytics

    Google Trends to Investigate the Degree of Global Interest Related to Indoor Location Detection

    Nirmalya Thakur and Chia Y. Han

    IHIET 2021 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Google Trends to Investigate the Degree of Global Interest Related to Indoor Location Detection" , Proceedings of the 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021), Paris, France, August 27-29, 2021
  • Journal of InformationJournal ArticleMultimodal Indoor LocalizationSmart Home Systems

    Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes

    Nirmalya Thakur and Chia Y. Han

    Journal of Information · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes" , Journal of Information, Volume 12, Issue 3, 2021, Article 114 [ J, Impact Factor 2.4 ]
  • IHIET 2021Paris, FranceHuman-Human InteractionSocietal Issue Mitigation

    A Human-Human Interaction-driven Framework to Address Societal Issues

    Nirmalya Thakur and Chia Y. Han

    IHIET 2021 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Human-Human Interaction-driven Framework to Address Societal Issues" , Proceedings of the 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021), Paris, France, August 27-29, 2021
  • Journal of Sensor and Actuator NetworksJournal ArticleAssisted Living Fall DetectionMachine Learning Evaluation

    A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method

    Nirmalya Thakur and Chia Y. Han

    Journal of Sensor and Actuator Networks · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method" , Journal of Sensor and Actuator Networks, Volume 10, Issue 3, 2021, Article 39 [ J, Impact Factor 3.3 ]
  • Journal of InformationJournal ArticleAmbient IntelligenceBehavior Monitoring

    An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments

    Nirmalya Thakur and Chia Y. Han

    Journal of Information · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments" , Journal of Information, Volume 12, Issue 2, 2021, Article 81 [ J, Impact Factor 2.4 ]
  • Journal of Advances in AI & MLJournal ArticleExoskeleton Movement RecognitionBoosted Learning

    Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach

    Nirmalya Thakur and Chia Y. Han

    Journal of Advances in AI & ML · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach" , Journal of Advances in Artificial Intelligence and Machine Learning, Volume 1, Issue 1, 2021, Article 4 [ J ]

2020

  • IHIET 2020Paris, FranceHuman Behavior ModelingComplex Activity Specification

    Towards A Language for Defining Human Behavior for Complex Activities

    Nirmalya Thakur and Chia Y. Han

    IHIET 2020 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Towards A Language for Defining Human Behavior for Complex Activities" , Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies (IHIET 2020), Paris, France, August 27-29, 2020
  • IHIET 2020Paris, FranceActivity RecognitionKnowledge Representation

    Towards a Knowledge Base for Activity Recognition of Diverse Users

    Nirmalya Thakur and Chia Y. Han

    IHIET 2020 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Towards a Knowledge Base for Activity Recognition of Diverse Users" , Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies (IHIET 2020), Paris, France, August 27-29, 2020
  • IHIET 2020Paris, FranceLoneliness MitigationHuman-Human Interaction

    Framework for facilitating Human-Human Interactions to Mitigate Loneliness in Elderly

    Nirmalya Thakur and Chia Y. Han

    IHIET 2020 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Framework for facilitating Human-Human Interactions to Mitigate Loneliness in Elderly" , Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies (IHIET 2020), Paris, France, August 27-29, 2020
  • IHIET 2020Paris, FranceContext-Aware Activity RecognitionSmart Home Systems

    A Multilayered Contextually Intelligent Activity Recognition Framework for Smart Home

    Nirmalya Thakur and Chia Y. Han

    IHIET 2020 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Multilayered Contextually Intelligent Activity Recognition Framework for Smart Home" , Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies (IHIET 2020), Paris, France, August 27-29, 2020
  • IHIET 2020Paris, FranceUbiquitous ComputingActivity Awareness

    An Intelligent Ubiquitous Activity Aware Framework for Smart Home

    Nirmalya Thakur and Chia Y. Han

    IHIET 2020 · Paris, France

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "An Intelligent Ubiquitous Activity Aware Framework for Smart Home" , Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies (IHIET 2020), Paris, France, August 27-29, 2020
  • HCII 2020Copenhagen, DenmarkContext-Aware LocalizationAssisted Living

    A Context Driven Indoor Localization Framework for Assisted Living in Smart Homes

    Nirmalya Thakur and Chia Y. Han

    HCII 2020 · Copenhagen, Denmark

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Context Driven Indoor Localization Framework for Assisted Living in Smart Homes" , Proceedings of the 22nd International Conference on Human-Computer Interaction (HCII 2020), Copenhagen, Denmark, July 19-24, 2020
  • HCII 2020Copenhagen, DenmarkNavigational Hazard MonitoringElderly Safety

    A Framework for Monitoring Indoor Navigational Hazards and Safety of Elderly

    Nirmalya Thakur and Chia Y. Han

    HCII 2020 · Copenhagen, Denmark

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Framework for Monitoring Indoor Navigational Hazards and Safety of Elderly" , Proceedings of the 22nd International Conference on Human-Computer Interaction (HCII 2020), Copenhagen, Denmark, July 19-24, 2020
  • ICBAIE 2020Fuzhou, ChinaCramps PredictionActivities of Daily Living

    A Framework for Prediction of Cramps during Activities of Daily Living in Elderly

    Nirmalya Thakur and Chia Y. Han

    ICBAIE 2020 · Fuzhou, China

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "A Framework for Prediction of Cramps during Activities of Daily Living in Elderly" , Proceedings of the International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2020), Fuzhou, China, June 12-14, 2020
  • ICBAIE 2020Fuzhou, ChinaWalking-Related Fall DetectionElderly Mobility Analysis

    An Approach for Detection of Walking Related Falls during Activities of Daily Living

    Nirmalya Thakur and Chia Y. Han

    ICBAIE 2020 · Fuzhou, China

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "An Approach for Detection of Walking Related Falls during Activities of Daily Living" , Proceedings of the International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2020), Fuzhou, China, June 12-14, 2020

2019

  • IJHCIJournal ArticleAffect-Aware Smart HomesElderly Care Systems

    Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People

    Nirmalya Thakur and Chia Y. Han

    IJHCI · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People" . International Journal of Recent Trends in Human Computer Interaction (IJHCI),Volume - 9, Issue 1, 2019, pp. 23-43 [ J ]
  • IJHCIJournal ArticlePersonalized Intelligent AssistanceActivities of Daily Living

    Framework for a Personalized Intelligent Assistant to Elderly People for Activities of Daily Living

    Nirmalya Thakur and Chia Y. Han

    IJHCI · Journal Article

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “Framework for a Personalized Intelligent Assistant to Elderly People for Activities of Daily Living” , International Journal of Recent Trends in Human Computer Interaction (IJHCI), Volume – 9, Issue – 1, 2019, pp. 1-22 [ J ]
  • Software and Systems Reuse 2019Ohio, United StatesComplex Activity RecognitionSoftware Reuse

    An Improved Approach for Complex Activity Recognition in Smart Homes

    Nirmalya Thakur and Chia Y. Han

    Software and Systems Reuse 2019 · Ohio, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, "An Improved Approach for Complex Activity Recognition in Smart Homes" . Proceedings of the 18th International Conference on Software and Systems Reuse, Ohio, USA, June 26–28, 2019

2018

  • IEEE IEMCON 2018Vancouver, CanadaContext-Driven Activity ModelingSmart Home Systems

    A Context-Driven Complex Activity Framework for Smart Home

    Nirmalya Thakur and Chia Y. Han

    IEEE IEMCON 2018 · Vancouver, Canada

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “A Context-Driven Complex Activity Framework for Smart Home” , Proceedings of the 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2018, Vancouver, Canada, Nov. 1-3, 2018
  • IEEE IEMCON 2018Vancouver, CanadaUser Experience ModelingAffect-Aware Systems

    A Hierarchical Model for Analyzing User Experiences in Affect Aware Systems

    Nirmalya Thakur and Chia Y. Han

    IEEE IEMCON 2018 · Vancouver, Canada

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “A Hierarchical Model for Analyzing User Experiences in Affect Aware Systems” , Proceedings of the 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2018, Vancouver, Canada, Nov. 1-3, 2018
  • IoT 2018Santa Barbara, United StatesVirtual Assistant AcceptanceElderly Users

    An Approach to Analyze the Social Acceptance of Virtual Assistants by Elderly People

    Nirmalya Thakur and Chia Y. Han

    IoT 2018 · Santa Barbara, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “An Approach to Analyze the Social Acceptance of Virtual Assistants by Elderly People” , Proceedings of the 8th International Conference on the Internet of Things (IoT) 2018, Santa Barbara, California, Oct. 15-18, 2018
  • IoT 2018Santa Barbara, United StatesUser Experience ForecastingAssisted Living

    Methodology for Forecasting User Experience for Smart and Assisted Living in Affect Aware Systems

    Nirmalya Thakur and Chia Y. Han

    IoT 2018 · Santa Barbara, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “Methodology for Forecasting User Experience for Smart and Assisted Living in Affect Aware Systems” Proceedings of the 8th International Conference on the Internet of Things (IoT) 2018, Santa Barbara, California, Oct. 15-18, 2018
  • SOPS Research Symposium 2018Kentucky, United StatesEmotion RecognitionAffective Computing

    An Emotion Recognition Algorithm for Implementation of Affect Aware Systems in a Smart Home Context

    Nirmalya Thakur and Chia Y. Han

    SOPS Research Symposium 2018 · Kentucky, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “An Emotion Recognition Algorithm for Implementation of Affect Aware Systems in a Smart Home Context” , Poster Presentation, Proceedings of the Fourth Annual Society of Postdoctoral Scholars (SOPS) Research Symposium, University of Kentucky, June 1, 2018
  • IEEE 5GWF 2018Santa Clara, United StatesActivity AnalysisUser Experience Modeling

    An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems

    Nirmalya Thakur and Chia Y. Han

    IEEE 5GWF 2018 · Santa Clara, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems” , Proceedings of the IEEE 5G World Forum Conference (IEEE 5GWF) 2018, Santa Clara, California, July 09-11, 2018
  • IT Research Symposium 2018Cincinnati, United StatesKnowledge MiningProfessional Networking

    A Virtual Wisdom Mining ‘Pan’ For Connecting Retired Experts With Currently Active Professionals

    Nirmalya Thakur and Chia Y. Han

    IT Research Symposium 2018 · Cincinnati, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “A Virtual Wisdom Mining ‘Pan’ For Connecting Retired Experts With Currently Active Professionals” , Proceedings of IT Research Symposium, University of Cincinnati, Apr. 10, 2018
  • IEEE CCWC 2018Las Vegas, United StatesEmotion RecognitionComplex Activity Analysis

    A Complex Activity Based Emotion Recognition Algorithm For Affect Aware Systems

    Nirmalya Thakur and Chia Y. Han

    IEEE CCWC 2018 · Las Vegas, United States

    Citation and publication details
    Nirmalya Thakur and Chia Y. Han, “A Complex Activity Based Emotion Recognition Algorithm For Affect Aware Systems” , Proceedings of IEEE 8th Annual Computing and Communication Workshop and Conference (IEEE CCWC) 2018, Las Vegas, Jan. 08-10, 2018

Recognition

Awards, Honors, and Recognitions

Selected Honors and Awards

  1. Named as one of Top 30 Early Career Professionals by the IEEE Computer Society

  2. Received the Best Presenter Award at the 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2025) Nevada, United States

  3. Recipient of the Outstanding Reviewer Award from the Journal of Future Internet

  4. Recipient of the Best Paper Award from the Journal of Information

  5. Recipient of the Young Scientist of the Year Award at the 2nd International Business and Academic Excellence Awards (IBAE) 2020

  6. Recipient of the Excellent Researcher of the Year Award at the 2nd International Academic and Research Excellence Awards (IARE-2020)

View all selected honors and awards
  1. Recipient of the Young Innovator Award at the 2nd Universal Innovators Leadership Awards

  2. Recipient of the Best Presenter Award at the 5th International Conference on Data Science, and Information Technology (DSIT 2022)

  3. Certificiate of Apprecitation from the IEEE World AI IoT Congress for outstanding contribution as a Reviewer

  4. Certificiate of Apprecitation from European Alliance for Innovation for outstanding contribution as a Reviewer for the 9th EAI MobiHealth Conference

  5. 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

  6. Recipient of the University of Cincinnati's Distinguished Thesis Award

  7. Recipient of the Engineer of the Month Award from the College of Engineering and Applied Sciences at the University of Cincinnati

  8. Elected as a Full Member of Sigma Xi - The Scientific Research Honor Society

Media and Professional Recognition

  1. Featured by Black Hills Pioneer for inclusion in the Stanford–Elsevier global list of top 2% scientists

  2. Featured by MSN for Developing the First Emotion-Driven Navigation System for AI

  3. Invited to speak in the IEEE Systems Council Early Career Speakers Program

  4. Interviewed by IEEE TV for contributions to the field of Computer Science

  5. Featured on the Cover Page of Millennium Magazine

  6. "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

View all media and professional recognition
  1. "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

  2. Findings from one of his journal paper's on COVID-19 Featured on the website of World Health Organization

  3. Featured in the American Scientist Magazine after receiving a Grants in Aid of Research from the National Academy of Sciences

  4. Biography featured by Marquis Who’s Who in 2020 for Excellence in Human-Computer Interaction Research

  5. Biography featured by Marquis Who’s Who in 2019 for Outstanding Contributions to the field of Computer Science

Advising

Current and Former Advisees

Dr. Nirmalya Thakur directs the Data-Driven Innovations for Health, Technology and Society (DDIHTS) Lab.

South Dakota School of Mines and Technology 11 students

StudentDegree program
  • Bijay Bharati M.S. in Computer Science and Engineering
  • Madeline Hartel B.S. in Computer Science
  • John McCraw B.S. in Computer Science
  • Fletcher Anderson B.S. in Computer Science
  • Faria Nishat Khan Ph.D. in Data Science and Engineering
  • Steve de Sa B.S. in Computer Science
  • Dallas Enriquez B.S. in Computer Engineering
  • Lane Boden B.S. in Mechanical Engineering
  • Boston Ricks B.S. in Computer Engineering
  • Niven Francis Da Guia Fernandes B.S. in Computer Science
  • Marc Tchona B.S. in Electrical Engineering
View former advisees from Emory University and the University of Cincinnati

Emory University

  • Shuqi Cui B.A. in Computer Science January 2023 – April 2024
  • Kesha A. Patel B.A. in Applied Mathematics July 2023 – August 2024
  • Victoria Knieling B.A. in Linguistics August 2023 – August 2024
  • Nazif Azizi B.S. in Computer Science January 2023 – April 2024
  • Audrey Poon B.S. in Computer Science July 2023 – August 2024
  • Katie Shao B.A. in Computer Science September 2023 – August 2024
  • Karam Khanna B.S. in Computer Science September 2022 – April 2023
  • Rishika Shah B.S. in Computer Science August 2023 – April 2024
  • Changhee Han B.S. in Computer Science August 2023 – April 2024
  • Yuvraj Duggal B.S. in Computer Science May 2023 – December 2023
  • Zihui Liu B.S. in Computer Science January 2023 – August 2023
  • Vanessa Su B.S. in Mathematics January 2024 – August 2024
  • Andrew Bian BBA January 2024 – August 2024
  • Hongseok Jeong B.A. in Economics & Computer Science January 2024 – August 2024
  • Haokun Cheng B.S. in Quantitative Sciences January 2023 – April 2023

University of Cincinnati

  • Isabella Hall B.S. in Computer Science June 2021 – December 2023
  • Saumick Pradhan B.S. in Computer Science August 2021 – April 2022
  • Cat Luong B.S. in Computer Science August 2021 – December 2021

Teaching

Courses Taught

Department of Electrical Engineering and Computer Science, South Dakota School of Mines and Technology 8 courses
  • DSE 429: Data Engineering Spring 27
  • CSC 454/554: Data Mining Spring 27, Fall 24
  • CSC 792: Advanced NLP and Conversational AI Fall 26
  • DSE 492: NLP and Conversational AI Fall 26
  • DSE 406/506: Deep Learning and Generative AI Fall 26
  • CSC 315: Data Structures and Algorithms Spring 26
  • CSC 760: Deep Learning Fall 25
  • CSC 215: Software Development II Spring 25, Fall 25, Spring 26
Department of Computer Science, Emory University 7 courses
  • CS 323: Machine Learning Applications Spring 24
  • CS 211: Introduction to Artificial Intelligence Spring 24, Fall 23, Spring 23
  • CS 326: Analysis of Algorithms Spring 24, Fall 23, Spring 23
  • CS 497R: Directed Research Spring 24, Fall 23, Spring 23
  • CS 224: Foundations of Computer Science Summer 23, Spring 23, Fall 22
  • CS 170: Introduction to Computer Science I Summer 23
  • PRECOL 100: AI and Computational Decision Making Summer 23
Department of Electrical Engineering and Computer Science, University of Cincinnati 4 courses
  • CS 1021-002: Computer Science 1 Summer 21
  • CS 1021-001: Computer Science 1 Summer 21
  • EECE 1080-002: Programming for ECE Summer 21
  • EECE 1080-001: Programming for ECE Summer 21

Service

Professional Service

Editorial Experience 12 items
  • Guest Editor, Special Issue - "Social Media Mining: Algorithms, Insights, and Applications", Journal of Information (Impact Factor 2.9), currently accepting submissions
  • Guest Editor, Special Issue - "Assisted Living of the Elderly: Recent Advances, Systems, and Frameworks", Journal of AI (Impact Factor 5.0), submission window closed on Dec 31, 2025
  • Guest Editor, Special Issue - "Recent Advances in Social Media Mining and Analysis", Journal of Information (Impact Factor 2.9), submission window closed on Mar 31, 2025
  • Guest Editor, Special Issue - "Emerging Applications in Web Behavior Mining and Analysis in Preparation for Disease X", Journal of Computation (Impact Factor 1.9), submission window closed on Dec 15, 2024
  • Guest Editor, Special Issue - "The Role of Social Media during the Ongoing Outbreaks of COVID-19 and Monkeypox: Applications, Use-Cases, Analytics, and Beyond", Journal of Information (Impact Factor 2.9), submission window closed on Jun 15, 2023
  • Co-Editor, "HCI and Beyond: Advances Towards Smart and Interconnected Environments – Part 1", Bentham Science Publishers, ISBN: 978-981 4998-82-6 (Print), DOI: http://dx.doi.org/10.2174/97898149988191210101
  • Co-Editor, "HCI and Beyond: Advances Towards Smart and Interconnected Environments – Part 2", Bentham Science Publishers, ISBN: 978-981 5036-40-4 (Print), DOI: http://dx.doi.org/10.2174/97898150363981220101
  • Editorial Board Member, PLOS One (ISSN 1932-6203, Impact Factor 2.6), Public Library of Science (PLOS)
  • Editorial Board Member, Journal of Technology and Healthcare, (ISSN 1878-7401, Impact Factor 1.8), Sage
  • Editorial Board Member, Journal of Technology and Disability, (ISSN 1878-643X, Impact Factor 0.7), Sage
  • Editorial Board Member, Journal of Human Factors in Healthcare (ISSN 2772-5014, Impact Factor 2.2), Elsevier
  • Editorial Board Member, International Journal of Business Intelligence and Data Mining (ISSN 1743-8195), Inderscience Publishers
Reviewer Experience 46 items
  • IEEE Access (ISSN 2169-3536)
  • IEEE Systems Journal (ISSN 1932-8184)
  • Journal of Internet of Things (ISSN 2542-6605), Elsevier Publishing
  • Journal of Building Engineering (ISSN: 2352-7102), Elsevier Publishing
  • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
  • ACM Annual Conference on Human Factors in Computing Systems
  • IEEE Symposium on Wireless Technology and Applications
  • IEEE Global Conference on Artificial Intelligence and Internet of Things
  • IEEE Global Communications Conference
  • IEEE International Conference on Data Science and Systems
  • IEEE World Forum on Internet of Things
  • IEEE Virtual Reality Conference
  • IEEE Symposium on Industrial Electronics & Applications
  • IEEE International Conference on Artificial Intelligence and Computer Applications
  • ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  • IEEE World AI IoT Congress
  • Journal of Big Data and Cognitive Computing, (ISSN 2504-2289), MDPI Publishers
  • Journal of Future Robot Life (ISSN 2589-9953), IOS Publishers
  • Journal of Computer Science (ISSN 1552-6607), Science Publications
  • Journal of Designs (ISSN 2411-9660), MDPI Publishers
  • Technology, Mind, and Behavior - A Journal of the American Psychological Association (ISSN: 2689-0208)
  • Advances in Science, Technology and Engineering Systems Journal (ISSN: 2415-6698)
  • Global Journal of Computer Science and Technology (ISSN: 0975-4172)
  • Journal of Sustainability (ISSN 2071-1050), MDPI Publishers
  • Journal of Intelligent & Fuzzy Systems (ISSN: 1875-8967), IOS Press
  • Journal of Applied Sciences (ISSN 2076-3417), MDPI Publishers
  • Journal of Social Sciences (ISSN 2076-0760), MDPI Publishers
  • Journal of Symmetry (ISSN 2073-8994), MDPI Publishers
  • Annals of Telecommunications Journal (ISSN 1958-9395), Springer Publishing
  • Plos One Journal (ISSN 1932-6203), PLOS Publishing
  • International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
  • International Conference on Information Science and Communications Technologies
  • International Conference on Electronics, Biomedical Engineering, and Health Informatics
  • International Conference on Intelligent Manufacturing and Automation Engineering
  • International Conference on Collaborative Computing: Networking, Applications, and Worksharing
  • International Conference on Electronics, Communications and Information Technology
  • Innovative Applications of Artificial Intelligence Conference
  • International Conference on Intelligent Human-Computer Interaction (IHCI)
  • International Conference on Tangible, Embedded and Embodied Interactions
  • International Conference on Artificial Intelligence, Soft Computing and Applications
  • Australian Conference on Human-Computer Interaction (OzCHI)
  • International Conference on Machine Learning and Applications
  • EAI International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities
  • EAI International Conference on Wireless Mobile Communication and Healthcare
  • EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
  • EAI International Conference: Arts and Technology-Interactivity & Game Creation
Conference Activities 44 items
  • Co-Chair, International Scientific Advisory Board, 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2025), Universidad de Málaga, Spain, April 22–24, 2025
  • Co-Chair, International Scientific Advisory Board, International Scientific Advisory Board, 14th International Conference on Human Interaction & Emerging Technologies: Future Systems and Artificial Intelligence Applications (IHIET-FS 2025), University of East London, England, June 10–12, 2025
  • Co-Chair, 11th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, April 12-14, 2024
  • Co-Chair, 10th International Conference on Human Interaction & Emerging Technologies, Université Côte d'Azur, Nice, France, August 22-24, 2023
  • Co-Chair, 1st International Conference on Artificial Intelligence and Future Technologies: Engineering Design and Healthcare Applications Nice, France, August 22- 24, 2022
  • Co-Chair, 8th International Conference on Human Interaction & Emerging Technologies, Université Côte d'Azur, Nice, France, August 22-24, 2022
  • Co-Chair, 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications, Lausanne, Switzerland, April 21-23, 2022
  • Committee Member, the 4th International Conference on Networks, Communications and Information Technology (CNCIT 2025), Wuxi, China, July 4–6, 2025
  • Committee Member, the 4th International Conference on Computer Technologies (ICCTech 2025), Kuala Lumpur, Malaysia, February 20–23, 2025
  • Committee Member, the 17th International Conference on Machine Learning and Computing (ICMLC 2025), Guangzhou, China, February 14–17, 2025
  • Committee Member, the IEEE 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC), Las Vegas, Jan 6-8, 2025
  • Committee Member, 4th International Conference on Electronics, Communications, and Information Technology (CECIT 2023), Sanya, China, December 22-24, 2023
  • Committee Member, 7th International Conference on Intelligent Manufacturing and Automation Engineering (ICIMA 2023), Changsha, China, December 8-10, 2023
  • Committee Member, International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS 2023), Shanghai, China, November 23 - 25, 2023
  • Committee Member, International Conference on Information Science and Communications Technologies Applications, Trends and Opportunities (ICISCT 2023), Tashkent, Uzbekistan, September 29 - 30, 2023
  • Committee Member, 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), Wuhan, China, July 26-28, 2023
  • Committee Member, 3rd International Conference on Computer, Remote Sensing and Aerospace (CRSA 2023), Osaka, Japan, July 14-16, 2023
  • Committee Member, 3rd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT 2023), Yangzhou, China, May 26-29, 2023
  • Committee Member, The 6th IEEE International Conference on Intelligent Computing and Signal Processing (ICSP 2021), Xi'an, China, April 09-11, 2021
  • Committee Member, Asia Conference on Information Engineering (ACIE 2021), Sanya, China, January 29-31, 2021
  • Committee Member, The 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE 2021), Guangzhou, China, January 15-17, 2021
  • Committee Member, the 2020 IEEE Global Communications Conference (Globecom), Taipei, Taiwan, December 7-11, 2020
  • Committee Member, the International Symposium on Automation, Information and Computing (ISAIC 2020), Beijing, China, December 2-4, 2020
  • Committee Member, the 12th International Conference on Intelligent Human Computer Interaction (IHCI-2020), EXCO Daegu, South Korea, November 24-26, 2020
  • Committee Member, the 2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC 2020), Chongqing, China, November 6-8, 2020
  • Committee Member, the 4th International Conference on Intelligent Manufacturing and Automation Engineering (ICIMA 2020), Wuhan, China, October 16-18, 2020
  • Committee Member, 2nd International Conference on Machine Learning & Applications (CMLA 2020), Copenhagen, Denmark, September 26-27, 2020
  • Committee Member, International Symposium on Artificial Intelligence in Medical Sciences (ISAIMS 2020), Beijing, China, September 11-13, 2020
  • Committee Member, the 2nd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2020), Dalian, China, August 21-23, 2020
  • Committee Member, the International Conference on Big Data and Social Sciences (ICBDSS 2020), Xi'an, China, August 14-16, 2020
  • Committee Member, the International Conference on Computer Vision and Data Mining, Xi'an, China, August 7-9, 2020
  • Committee Member, the 2nd International Conference on Artificial Intelligence and Computer Science (AICS 2020), Wuhan, China, July 25-26, 2020
  • Committee Member, the 3rd International Conference on Computer Information Science and Application Technology (CISAT 2020), Dali, China, July 17-19, 2020
  • Committee Member, the 3rd International Symposium on Big Data and Applied Statistics (ISBDAS 2020), Kunming, China, July 10-12, 2020
  • Committee Member, The 2020 International Conference on 5G Mobile Communication and Information Science (MCIS-5G 2020), Guangzhou, China, June 26-28, 2020
  • Committee Member, The 5th International Symposium on Computer and Information Processing Technology (ISCIPT 2020), Tianjin, China, June 26-28, 2020
  • Committee Member, International Conference on Artificial Intelligence and Education (ICAIE 2020), Tianjin, China, June 26-28, 2020
  • Committee Member, The 2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2020), Tianjin, China, June 26-28, 2020
  • Committee Member, the International Symposium on Electronic Information Technology and Communication Engineering (ISEITCE 2020), Jinan, China, June 19-21, 2020
  • Committee Member, the International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2020), June 12-14, 2020, Fuzhou, China
  • Committee Member, the International Conference on Signal Processing and Computer Science (SPCS 2020),Xiamen, China, May 22-24, 2020
  • Committee Member, International Conference on Big Data and Informatization Education (ICBDIE2020), Zhangjiajie, China, April 24-26, 2020
  • Committee Member, the 4th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2020), Shenzhen, China, February 21-23, 2020
  • Committee Member, IEEE International Conference on Systems, Man and Cybernetics (SMC 2018), Miyazaki, Japan, October 07-10, 2018

Opportunity

Open Positions

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:

  • Experience with Python programming and Data Structures.
  • Strong motivation, intellectual curiosity, reliability, and willingness to learn.
  • Ability to work independently while contributing effectively to a research group.
  • Relevant prior research or project experience involving data science, data analysis, or related areas may strengthen an application when aligned with project needs, but is not required.

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

Dr. Nirmalya Thakur

Assistant Professor · Electrical Engineering and Computer Science · South Dakota School of Mines and Technology

nirmalya.thakur@sdsmt.edu