R. Sreejith

About

Sreejith R., PhD, completed his Post-Doctoral Fellowship (PDF) at the University of South Florida, Muma School of Business, USA, specializing in healthcare analytics. He holds a PhD in Computer Science and Engineering (Healthcare Technologies) from REVA University and a Master of Technology from Anna University, India. With over 13 years of teaching experience, his expertise includes Data Analytics, Business Modeling, Machine Learning, Text Analytics, and Web Application Development. He actively contributes to various IT firms as a consultant and trainer in cutting-edge technologies. He has also been invited to deliver sessions on data analytics, text analytics, and web development at international and national events. He has published extensively in top-tier journals (ABDC A* & A | WoS Q1) and has secured several patents and copyrights in AI-related fields. His research interests include Healthcare Analytics, Applied Data Science, Data-Driven Disaster Management, Educational Data Mining, System Design & Security, Cognitive Computing, and Human-Computer Interaction.

Employment

• Rajagiri Group of Institutions Asst.professor
  2017 - Present
• Nehru Group of Institutions Asst.Professor
  2012 - 2016

Education

• REVA University PhD
  2016 - 2023
• Anna University, Chennai M.Tech Information Technology
  2010 - 2012
• Anna University, Chennai B.Tech Information Techology
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Bridging hospitality and healthcare: A data-driven approach to leveraging service excellence for improved patient satisfaction
  INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT 2026 DOI: 10.1016/J.IJHM.2026.104599
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• Privacy-Preserving Digital Identity in Resilient Healthcare Ecosystems With AI, IoT, and Blockchain
  Building Resilient Digital Ecosystems Security Governance and Transformation 2026 DOI: 10.4018/979-8-3373-9968-3.ch010
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• Thinking fast and slow in film reception: Cognitive spillover of consumer emotions across digital platforms
  Journal of Retailing and Consumer Services 2026 DOI: 10.1016/j.jretconser.2025.104474
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• An integrated analytics framework for modeling workforce dynamics: An ML-led mixed-method approach
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.111128
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• User-centric evaluation of EHR software through NLP-driven investigation: Implications for product development and user experience
  Journal of Open Innovation: Technology, Market, and Complexity 2024 DOI: 10.1016/j.joitmc.2023.100206
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• Smart Contract Authentication assisted GraphMap-Based HL7 FHIR architecture for interoperable e-healthcare system
  Heliyon 2023 DOI: 10.1016/j.heliyon.2023.e15180
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• Strategic Insights from Optimized Market Basket Analysis in Wordle Game Environment and its Application in Retail
  SSRN 2022 DOI: 10.2139/ssrn.4191550
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• Modelling evacuation preparation time prior to floods: A machine learning approach
  Sustainable Cities and Society 2022 DOI: 10.1016/j.scs.2022.104257
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• Modelling Evacuation Preparation Time Prior to Floods: A Machine Learning Approach
  2022 DOI: 10.2139/ssrn.4149325
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• Smart Contract Authentication Assisted Graphmap-Based Interoperable eHealthcare System
  Indian Patent Office 2022
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