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
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.
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.
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.
Clickbait DetectionTransformer-Based Text Classification
COVID-19 YouTube Videos in the Late Pandemic: Clickbait Detection Using Transformer Models and GPT-2 Across Video Duration, Audience Reach, and Title Language
Bijay Bharati and Nirmalya Thakur
Accepted
Bijay Bharati and Nirmalya Thakur, "COVID-19 YouTube Videos in the Late Pandemic: Clickbait Detection Using Transformer Models and GPT-2 Across Video Duration, Audience Reach, and Title Language", 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 States
Thumbnail–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
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 link to the paper
IEEE CCWC 2026Nevada, United States
Robot-Assisted Fall ManagementElderly Care Systems
Fall-Assist Companion: An Intelligent System for Robot-Assisted Fall Management to Support Elderly Care
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 link to the paper
IEEE IEMCON 2025Berkeley, United States
Outbreak 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, "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 link to the paper
IEEE IEMCON 2025Berkeley, United States
Autonomous Agent ModelingAffective Computing
A Memory-Aware Valence Framework for Avoidance, Recovery, and Goal Pursuit in Autonomous Agents
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 link to the paper
IEEE UEMCON 2025New York, United States
Video 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
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 link to the paper
HCII 2025Gothenburg, Sweden
Misinformation 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
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 link to the paper
HCII 2025Gothenburg, Sweden
Zero-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, "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 link to the paper
IEEE CCWC 2025Nevada, United States
Sentiment 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
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 link to the paper
IEEE CCWC 2025Nevada, United States
Content Recommendation AnalysisToxicity Detection
COVID-19 on YouTube: a Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations
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 link to the paper
Journal of ComputationJournal Article
Subjectivity 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
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 link to the paper [J, Impact Factor 1.9]
HCII 2024Washington, United States
Dataset 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
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 link to the paper
HCII 2024Washington, United States
Emoji 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, "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 link to the paper
IHIET 2024Venice, Italy
Mental Health AnalyticsUser Diversity Analysis
Stress, Anxiety, and Depression in Young Adults: Findings from a User Diversity-based Analysis
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 link to the paper
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 link to the paper
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
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 link to the paper [J, Impact Factor 2.6]
Journal of ComputationJournal Article
Web 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
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 link to the paper [J, Impact Factor 1.9]
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 link to the paper [J, Impact Factor 2.8]
Journal of DataJournal Article
Disease 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
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 link to the paper [J, Impact Factor 2.2]
Journal of Applied System InnovationJournal Article
Long COVID Self-ReportingSentiment Analysis
Investigating and Analyzing Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis
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 link to the paper [J, Impact Factor 3.8]
Journal of ComputersJournal Article
Mpox 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
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 link to the paper [J, Impact Factor 2.6]
Journal of Big Data and Cognitive ComputingJournal Article
Comparative Discourse AnalysisSentiment Analysis
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox
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, Denmark
Search 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
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 link to the paper
HCII 2023Copenhagen, Denmark
Mental 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
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 link to the paper
CSSE 2022Guilin, China
Fall 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, "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 link to the paper
Journal of Infectious Disease ReportsJournal Article
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 link to the paper [J, Impact Factor 3.4]
Journal of AnalyticsJournal Article
Twitter 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, "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 link to the paper [J]
Journal of InformationJournal Article
Ambient 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, "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 link to the paper [J, Impact Factor 2.4]
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 link to the paper [J, Impact Factor 2.2]
Journal of COVIDJournal Article
Sentiment 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, "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 link to the paper [J]
IHIET-AI 2022Lausanne, Switzerland
Cross-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, "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 link to the paper
IHIET-AI 2022Lausanne, Switzerland
Online Learning BehaviorWeb Analytics
Investigating the impact of COVID-19 on Online Learning-based Web Behavior
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 link to the paper
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 link to the paper
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 link to the paper
Journal of Big Data and Cognitive ComputingJournal Article
Indoor LocalizationAmbient Assisted Living
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments
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 link to the paper [J, Impact Factor 3.7]
DSIT 2021Shanghai, China
Activity LoggingIndoor Localization
Pervasive Activity Logging for Indoor Localization in Smart Homes
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 link to the paper
Journal of DataJournal Article
Fall 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, "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 link to the paper [J, Impact Factor 2.2]
IHIET 2021Paris, France
Cognitive Impairment DetectionMultimodal Analysis
A Multimodal Approach for Early Detection of Cognitive Impairment from Tweets
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 link to the paper
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 link to the paper
Journal of InformationJournal Article
Multimodal Indoor LocalizationSmart Home Systems
Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes
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 link to the paper [J, Impact Factor 2.4]
IHIET 2021Paris, France
Human-Human InteractionSocietal Issue Mitigation
A Human-Human Interaction-driven Framework to Address Societal Issues
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 link to the paper
Journal of Sensor and Actuator NetworksJournal Article
Assisted 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, "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 link to the paper [J, Impact Factor 3.3]
IHIET 2020Paris, France
Human Behavior ModelingComplex Activity Specification
Towards A Language for Defining Human Behavior for Complex Activities
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 link to the paper
IHIET 2020Paris, France
Activity RecognitionKnowledge Representation
Towards a Knowledge Base for Activity Recognition of Diverse Users
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 link to the paper
IHIET 2020Paris, France
Loneliness MitigationHuman-Human Interaction
Framework for facilitating Human-Human Interactions to Mitigate Loneliness in Elderly
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 link to the paper
Journal of InformationJournal Article
Ambient IntelligenceBehavior Monitoring
An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments
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 link to the paper [J, Impact Factor 2.4]
IHIET 2020Paris, France
Context-Aware Activity RecognitionSmart Home Systems
A Multilayered Contextually Intelligent Activity Recognition Framework for Smart Home
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 link to the paper
IHIET 2020Paris, France
Ubiquitous ComputingActivity Awareness
An Intelligent Ubiquitous Activity Aware Framework for Smart Home
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 link to the paper
HCII 2020Copenhagen, Denmark
Context-Aware LocalizationAssisted Living
A Context Driven Indoor Localization Framework for Assisted Living in Smart Homes
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 link to the paper
HCII 2020Copenhagen, Denmark
Navigational Hazard MonitoringElderly Safety
A Framework for Monitoring Indoor Navigational Hazards and Safety of Elderly
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 link to the paper
Journal of Advances in AI & MLJournal Article
Exoskeleton Movement RecognitionBoosted Learning
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach
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 link to the paper [J]
ICBAIE 2020Fuzhou, China
Cramps PredictionActivities of Daily Living
A Framework for Prediction of Cramps during Activities of Daily Living in Elderly
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 link to the paper
ICBAIE 2020Fuzhou, China
Walking-Related Fall DetectionElderly Mobility Analysis
An Approach for Detection of Walking Related Falls during Activities of Daily Living
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 link to the paper
IJHCIJournal Article
Affect-Aware Smart HomesElderly Care Systems
Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
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 link to the paper [J]
IJHCIJournal Article
Personalized 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, “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 link to the paper [J]
Software and Systems Reuse 2019Ohio, United States
Complex Activity RecognitionSoftware Reuse
An Improved Approach for Complex Activity Recognition in Smart Homes
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 link to the paper
IEEE IEMCON 2018Vancouver, Canada
Context-Driven Activity ModelingSmart Home Systems
A Context-Driven Complex Activity Framework for Smart Home
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 link to the paper
IEEE IEMCON 2018Vancouver, Canada
User Experience ModelingAffect-Aware Systems
A Hierarchical Model for Analyzing User Experiences in Affect Aware Systems
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 link to the paper
IoT 2018Santa Barbara, United States
Virtual Assistant AcceptanceElderly Users
An Approach to Analyze the Social Acceptance of Virtual Assistants by Elderly People
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 link to the paper
IoT 2018Santa Barbara, United States
User Experience ForecastingAssisted Living
Methodology for Forecasting User Experience for Smart and Assisted Living in Affect Aware Systems
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 link to the paper
SOPS Research Symposium 2018Kentucky, United States
Emotion RecognitionAffective Computing
An Emotion Recognition Algorithm for Implementation of Affect Aware Systems in a Smart Home Context
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 link to the paper
IEEE 5GWF 2018Santa Clara, United States
Activity AnalysisUser Experience Modeling
An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems
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 link to the paper
IT Research Symposium 2018Cincinnati, United States
Knowledge MiningProfessional Networking
A Virtual Wisdom Mining ‘Pan’ For Connecting Retired Experts With Currently Active Professionals
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 link to the paper
IEEE CCWC 2018Las Vegas, United States
Emotion RecognitionComplex Activity Analysis
A Complex Activity Based Emotion Recognition Algorithm For Affect Aware Systems
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 link to the paper
Awards, Honors, and Recognitions
Featured by Black Hills Pioneer for inclusion in the Stanford–Elsevier global list of top 2% scientists link to the news article
Featured by MSN for Developing the First Emotion-Driven Navigation System for AI link to the news article
Invited to speak in the IEEE Systems Council Early Career Speakers Program link to the talk
Named as one of Top 30 Early Career Professionals by the IEEE Computer Society link to the announcement
Received the Best Presenter Award at the 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2025) Nevada, United States
Interviewed by IEEE TV for contributions to the field of Computer Science link to the interview
"Smart on the Inside: Towards an Indoor Localization-Enabled, Age-friendly Intelligent Environment" - Press Release on Yahoo News about the findings of one of my journal papers on Indoor Localization View the Press Release on Yahoo News
"The Future of Intelligent Assisted Living Is Here: Falls in the Elderly Can Now Be Detected With Almost 100-Percent Accuracy" - Press Release on Business Insider about the findings of one of my journal papers on Assisted Living View the Press Release on Business Insider
Recipient of the Young Scientist of the Year Award at the 2nd International Business and Academic Excellence Awards (IBAE) 2020 Featured on on Channel Asia
Recipient of the Excellent Researcher of the Year Award at the 2nd International Academic and Research Excellence Awards (IARE-2020) Featured on Business Results Magazine
Findings from one of his journal paper's on COVID-19 Featured on the website of World Health Organization Link to the post
Featured in the American Scientist Magazine after receiving a Grants in Aid of Research from the National Academy of Sciences Link to the Magazine
Recipient of the Young Innovator Award at the 2nd Universal Innovators Leadership Awards Featured on Channel Asia
Recipient of the Best Presenter Award at the 5th International Conference on Data Science, and Information Technology (DSIT 2022) link to the certificate
Biography featured by Marquis Who’s Who in 2020 for Excellence in Human-Computer Interaction Research Link to the Press Release
Biography featured by Marquis Who’s Who in 2019 for Outstanding Contributions to the field of Computer Science Link to the Press Release
Certificiate of Apprecitation from the IEEE World AI IoT Congress for outstanding contribution as a Reviewer link to the certificate
Certificiate of Apprecitation from European Alliance for Innovation for outstanding contribution as a Reviewer for the 9th EAI MobiHealth Conference link to the certificate
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 link to the certificate
Teaching
Department of Electrical Engineering and Computer Science, South Dakota School of Mines and Technology
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
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
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]
Advising
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.
Current Advisees
Current Advisee
Bijay Bharati
M.S. in Computer Science and Engineering
South Dakota School of Mines and Technology
October 2025 – Present
Current Advisee
Madeline Hartel
B.S. in Computer Science
South Dakota School of Mines and Technology
May 2026 – Present
Current Advisee
John McCraw
B.S. in Computer Science
South Dakota School of Mines and Technology
May 2026 – Present
Former Advisees
Former Advisee
Fletcher Anderson
B.S. in Computer Science
South Dakota School of Mines and Technology
August 2025 – April 2026
Former Advisee
Faria Nishat Khan
Ph.D. in Data Science and Engineering
South Dakota School of Mines and Technology
August 2025 – April 2026
Former Advisee
Steve de Sa
B.S. in Computer Science
South Dakota School of Mines and Technology
September 2025 – April 2026
Former Advisee
Dallas Enriquez
B.S. in Computer Engineering
South Dakota School of Mines and Technology
May 2025 – August 2025
Former Advisee
Lane Boden
B.S. in Mechanical Engineering
South Dakota School of Mines and Technology
April 2025 – August 2025
Former Advisee
Boston Ricks
B.S. in Computer Engineering
South Dakota School of Mines and Technology
July 2025 – August 2025
Former Advisee
Niven Francis Da Guia Fernandes
B.S. in Computer Science
South Dakota School of Mines and Technology
September 2024 – April 2025
Former Advisee
Marc Tchona
B.S. in Electrical Engineering
South Dakota School of Mines and Technology
September 2024 – April 2025
Former Advisee
Shuqi Cui
B.A. in Computer Science
Emory University
January 2023 – April 2024
Former Advisee
Kesha A. Patel
B.A. in Applied Mathematics
Emory University
July 2023 – August 2024
Former Advisee
Victoria Knieling
B.A. in Linguistics
Emory University
August 2023 – August 2024
Former Advisee
Nazif Azizi
B.S. in Computer Science
Emory University
January 2023 – April 2024
Former Advisee
Audrey Poon
B.S. in Computer Science
Emory University
July 2023 – August 2024
Former Advisee
Katie Shao
B.A. in Computer Science
Emory University
September 2023 – August 2024
Former Advisee
Karam Khanna
B.S. in Computer Science
Emory University
September 2022 – April 2023
Former Advisee
Rishika Shah
B.S. in Computer Science
Emory University
August 2023 – April 2024
Former Advisee
Changhee Han
B.S. in Computer Science
Emory University
August 2023 – April 2024
Former Advisee
Yuvraj Duggal
B.S. in Computer Science
Emory University
May 2023 – December 2023
Former Advisee
Zihui Liu
B.S. in Computer Science
Emory University
January 2023 – August 2023
Former Advisee
Vanessa Su
B.S. in Mathematics
Emory University
January 2024 – August 2024
Former Advisee
Andrew Bian
BBA
Emory University
January 2024 – August 2024
Former Advisee
Hongseok Jeong
B.A. in Economics & Computer Science
Emory University
January 2024 – August 2024
Former Advisee
Haokun Cheng
B.S. in Quantitative Sciences
Emory University
January 2023 – April 2023
Former Advisee
Isabella Hall
B.S. in Computer Science
University of Cincinnati
June 2021 – December 2023
Former Advisee
Saumick Pradhan
B.S. in Computer Science
University of Cincinnati
August 2021 – April 2022
Former Advisee
Cat Luong
B.S. in Computer Science
University of Cincinnati
August 2021 – December 2021
Service
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
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
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
Open Position
Undergraduate Research Opportunity: Dr. Thakur’s research group has an opening for an undergraduate student to join an ongoing research project at the intersections of Big Data, Artificial Intelligence, and Data Analysis. This project involves working with and extending state-of-the-art Large Language Models such as ChatGPT and beyond.
To apply to this open position, please email your resume to Dr. Thakur at nirmalya.thakur@sdsmt.edu.
