Dr Pijush Kanti Dutta Pramanik is currently working as Assistant Professor in the School of Computer Applications and Technology. He has a total experience of more than 13 years of teaching. He has been associated with Galgotias University since Feb 2023. Pijush Kanti acquired a range of professional qualifications in the core and allied fields of Computer Science and Information Technology, viz., MIT, MCA, MBA(IT), MTech(CSE), and MPhil(CS). He obtained PhD in Computer Science and Engineering from the National Institute of Technology (an institute of national importance), Durgapur, India. He qualified UGC-NET in Computer Science and Applications as well as in Management. Pijush Kanti is actively engaged in research in the domains of healthcare informatics, crowd computing, IoT, mobile grid computing, edge computing, and recommendation systems and has published more than 70 research articles in WoS/Scopus indexed journals, edited books, and reputed international conferences. He also edited a few special issues for WoS/Scopus-indexed journals.
His research details can be viewed at:
Experience and Designation:
- 11 years of teaching experience
Academic Qualification:
- Ph.D. in Computer Science & Engineering
- M.Phil. in Computer Science
- M.Tech. in Computer Science & Engineering
- MBA (IT) in Information Technology
- MCA in Computer Applications
Publications: (mention in numbers)
- SCI/E Article Publications: 17
- ESCI Article Publications: 5
- Scopus Article Publications: 8
- Non-Scopus/UCG Article Publications: 3
- International/National Conference Publications:16 (Scopus)
- Book Chapter Publications: 16 (7 Scopus, 2 WoS)
- Patent Publications: 8
Workshop, FDP & Training Participated and attended:
- Data Science and Engineering E-Degree from Eduonix.
- Two-week online workshop on Machine Learning & Deep Learning; conducted by DAIICT, Gandhinagar; 17-30 September, 2020.
- One-week hands-on FDP on Artificial Intelligence using Python, conducted by Brain-O-Vision Solutions India Pvt. Ltd. in association with National Youth Council of India, 14-19 September, 2020.
- One-week FDP on Intelligent Computing; conducted by Dept. of CSE, MAKAUT, Kolkata; 11-15 September, 2020.
- One-week online short-term course on Machine Learning using Python; sponsored by TEQIP III; conducted by NIT Jalandhar; 11-15 September, 2020.
Award & Recognition:
- Best paper awarded for the article “Economical Supercomputing thru Smartphone Crowd Computing: An Assessment of Opportunities, Benefits, Deterrents, and Applications from India’s Perspective,” at 4th International Conference on Advanced Computing and Communication Systems (ICACCS-2017), January 2017, Coimbatore, India, IEEE Explore (DOI: 1109/ICACCS.2017.8014613).
- Best paper awarded for the article “Facial Emotion Detection to Assess Learner’s State of Mind in an Online Learning System,” at 5th International Conference on Intelligent Information Technology (ICIIT 2020), 2020, Hanoi, Vietnam, ACM (DOI: 10.1145/3385209.3385231).
Area of Interest:
- Mobile grid/cloud computing
- IoT
- Edge/fog computing,
- Ubiquitous personalised learning
- Healthcare informatics
Other Achievements:
- Qualified UGC NET in Management.
- Qualified UGC NET in Computer Science & Applications.
- Qualified Uttarakhand SET in Computer Science & Applications.