Purnendu Bikash Acharjee

About

Dr. Purnendu Bikash Acharjee has 16+ years of academic and research experience. Currently he is working as an Associate Professor in School of Sciences, CHRIST [Deemed to be University], Pune. Prior to that he was an Associate Professor, School of Computing , RIMT University, Punjab, and Associate Professor ,Associate Dean, School of Computing Sciences, Jorhat, Assam. Dr. Acharjee obtained M.Sc. (Computer Science), MTech. (IT), and Ph.D. (Faculty of Technology) from Gauhati University, Assam. Dr. Acharjee has 36 papers [12 SCOPUS indexed], 4 [SCI indexed], 3 book chapters [refereed international and national journals], 1 book and granted 4 International Patents, 3 National Patents got published. Participated in 22 AICTE/UGC/Industry sponsored (two week’s duration) short-term courses and FDP’s, Paper Reviewer in 4 International Conferences and Technical Program Committee member in 7 International Conferences including IEEE, Springer etc. He also guided 6 PhD research scholars.

Employment

• Christ University Teaching
  2022 - Present

Education

• Gauhati University PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (79)

• Fraud Detection in Online Assessments Using a Hybrid NLP-Ensemble Learning Framework for Secure and Reliable Evaluation Systems
  Proceedings 2026 International Conference on Innovations in Computational Intelligence Icici 2026 2026 DOI: 10.1109/ICICI68867.2026.11564959
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• Hybrid Fuzzy Logic - Neural Network Framework for Smart Irrigation and Precision Water Management in Agriculture
  2026 1st International Electronics Packaging Design and Manufacturing Conference Bridging Skills and Innovation for India S Industry Epdmc 2026 2026 DOI: 10.1109/EPDMC67535.2026.11496515
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• Hybrid Hierarchical Convolutional Mixture of Experts Framework for Cervical Cancer Diagnosis and Treatment Recommendation from Medical Images
  Proceedings of the 4th International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2026 2026 DOI: 10.1109/ICAISS68683.2026.11526649
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• A comprehensive review on voice based emotional state detection using LLM and deep learning model
  Sustainable Well Being Advancing Health Through Psychology Medicine and Intelligent Technologies 2026 DOI: 10.1201/9781003770473-28
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• Research on Big Data for “Industry 4.0” Cyber-Physical Systems
  Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development 2025 DOI: 10.1201/9781003596721-37
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• Think Big with Big Data: Finding Appropriate Big Data Strategies for Corporate Cultures
  Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development 2025 DOI: 10.1201/9781003596721-46
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• The Tracking of (Machine) Intelligence’s Evolution Using an Intelligence Catalogue
  Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development 2025 DOI: 10.1201/9781003596721-50
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• State-of-the-Art and Upcoming Trends in IoT-Enabled Smart Cities
  Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development 2025 DOI: 10.1201/9781003596721-49
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• Smart Facial Expression Analysis: Fuzzy Extreme Learning Machine in Emotion Detection
  3rd IEEE International Conference on Data Science and Network Security Icdsns 2025 2025 DOI: 10.1109/ICDSNS65743.2025.11168498
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• Orchestrating Complexity: The Art of Virtual Leadership in System Modelling
  Northeast Journal of Complex Systems 2025 DOI: 10.63562/2577-8439.1095
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