Nirmalya Thakur
SOFTWARE ENGINEERING, PROGRAMMING LANGUAGES, DATABASE MANAGEMENT, ARTIFICIAL INTELLIGENCE, IMAGE PROCESSING AND COMPUTER VISION, PATTERN RECOGNITION, SIMULATION AND MODELING Human Computer Interaction SOFTWARE ENGINEERING PROGRAMMING LANGUAGES DATABASE MANAGEMENT ARTIFICIAL INTELLIGENCE IMAGE PROCESSING AND COMPUTER VISION PATTERN RECOGNITION SIMULATION AND MODELING Context-Aware Activity Recognition Systems Data-Driven Disease Surveillance Context-aware pervasive systems Big Data Technologies and Applications Technology and Human Factors in Education and Health Emotion and Mood Recognition Information Retrieval and Data Mining AI and Big Data Applications E-Learning and Knowledge Management Privacy, Security, and Data Protection Online Learning and Analytics Educational data mining Modality (human-computer interaction) Innovative Human-Technology Interaction Education during COVID-19 pandemic E-Learning and COVID-19 Real world evidence Public health informatics Public health Public health interventions Computer Science Applications Computer Vision and Pattern Recognition Education Epidemiology Experimental and Cognitive Psychology Human-Computer Interaction Information Systems Information Systems and Management Public Health, Environmental and Occupational Health Sociology and Political Science

Bio

Nirmalya Thakur is a PhD student in Computer Science at the University of Cincinnati, specializing in Human-Computer Interaction. His research focuses on developing innovative solutions for ambient assisted living, including fall detection and indoor localization, as well as analyzing social media discourse during global events such as the COVID-19 Omicron wave. He has authored over 100 publications, which have garnered more than 1,000 citations, reflecting an h-index of 17 and an i10-index of 29. His work is recognized through active peer review and contributions to open datasets. He maintains an ORCID profile and is indexed in OpenAlex and Scopus.

Educational Journey

University of Cincinnati

PhD Student • Computer Science

Experience

0 - 0

Research

No publications found.