Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Jyotir Moy Chatterjee
Graphic Era University, Dehradun
Regular Member
Personal Web Site: https://sites.google.com/view/jyotirmoychatterjee/home?authuser=0
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1812
Short Biography
I am currently working as an Assistant Professor in the Department of CSE at Graphic Era (Deemed to be University) located in Dehradun, Uttarakhand, India. Additionally, I hold a position as an Assistant Professor (Visiting Faculty) in the Department of IT at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation, Malaysia in Kathmandu, Nepal. Before these roles, I served as an Assistant Professor and Program Leader for the B.Sc. IT program at Lord Buddha Education Foundation and as an Assistant Professor in the CSE department at GD-Rungta College of Engineering & Technology, affiliated with Chhattisgarh Swami Vivekananda Technical University in Bhilai, India. My academic journey includes earning an M. Tech degree in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT) in Bhubaneswar, Odisha in 2016, and a B. Tech degree in Computer Science & Engineering from Dr. MGR Educational & Research Institute in Maduravoyal, Chennai in 2013. In terms of my research interests, I have a strong focus on Machine Learning and Deep Learning. Specifically, my research work revolves around the realms of Deep Learning and Machine Learning, where I explore and contribute to advancements in these fields.
List of top 5 publications in the last 5 years
Vu Viet Nguyen, Binh Thai Pham, Ba Thao Vu, Indra Prakash, Sudan Jha, Himan Shahabi, Ataollah Shirzadi, Dong Ba Nguyen, Raghvendra Kumar Agrawal, Jyotir Moy Chatterjee, Dieu Tien Bui. (2019). Hybrid Machine Learning Approaches for Landslide Spatial Prediction. Forests (SCOPUS IF-1.9) Pham Hai Son, Le Hoang Son, Sudan Jha, Raghvendra Kumar, Jyotir Moy Chatterjee (2019), “Governing Mobile Virtual Network Operators in Developing Countries”, Utilities Policy, 56, pp. 169 - 180 (SCIE IF-2.09) Sudan Jha, Raghvendra Kumar, Le Hoang Son, Jyotir Moy Chatterjee, Manju Khari, Navneet Yadav, Florentin Smarandache (2018),“Neutrosophic soft set decision making for stock trending analysis”, Evolving Systems (SCOPUS ESCI IF 1.7). Le Hoang Son, Sudan Jha, Raghvendra Kumar, Jyotir Moy Chatterjee, Manju Khari (2018), “Collaborative handshaking approaches between Internet of Computing and Internet of Things towards a Smart World: A review from 2009 – 2017”, Telecommunication Systems (SCIE IF-1.5). Le Hoang Son, Francisco Chiclana, Raghavendra Kumar, Mamta Mittal, Manju Khari, Jyotir Moy Chatterjee, Sung Wook Baik (2018), “ARM-AMO: An Efficient Association Rule Mining Algorithm Based on Animal Migration Optimization”, Knowledge-Based Systems (SCI IF-4.3). Jyotir Moy Chatterjee, Le Hoang Son, Srijani Ghatak, Raghvendra Kumar, Manju Khari (2017), “BitCoin Exclusively Informational Money: A Valuable Review from 2010 to 2017”, in Quality & Quantity Journal (SCIE IF-1.0), pp.1-18. S. Garg, J. MoyChatterjee and R. Kumar Agrawal, "Design of a Simple Gas Knob: An Application of IoT," 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE-IEEE), San Salvador, El Salvador, 2018, pp. 1-3. doi: 10.1109/RICE.2018.8509034. Dac-Nhuong Le, Raghvendra Kumar, Nguyen Gia Nhu and Jyotir Moy Chatterjee, (2018), Cloud Computing Virtualization, Scrivener Publishing, Wiley, USA. ISBN: 978-1-119-48790-6. 250 pages. (Scopus) Solanki V.K., Makkar S., Kumar R., Chatterjee J.M. (2019) Theoretical Analysis of Big Data for Smart Scenarios. In: Balas V., Solanki V., Kumar R., Khari M. (eds) Internet of Things and Big Data Analytics for Smart Generation. Intelligent Systems Reference Library, vol 154. Springer, Cham. (Scopus). Son, L.H., Tripathy, H.K., Acharya, B.R., Kumar, R., Chatterjee, J.M. (2018). Machine Learning on Big Data: A Developmental Approach on Societal Applications, Big Data Processing Using Spark in Cloud, Springer Nature Singapore Pte Ltd. (Scopus).
List of top 5 academic activities during the last 5 years
Technical Programme Committee (TPC) Member in Indo-Taiwan International Conference on Computing, Analytics and Networks 2020 (IEEE) Organizing Committee Member in International Conference on Advances in Engineering, Technology and Contemporary Management Trends (ICAETCMT-2019-SCOPUS) Technical Committee (TC) member in 2nd International Conference on Recent Innovative Trends in Computer Science and Applications (ICRITCSA-2019) Technical Programme Committee (TPC) Member in 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020- Springer). Technical Programme Committee (TPC) Member in International Conference on Recent Trends in IoT and Blockchain. Session Chair- Special Session On "Blockchain Technologies: Challenges, Solutions and Applications" at 3rd International Conference on Advanced Informatics for Computing Research (ICAICR-2019 Springer CCIS and ACM ICPS).