Assistant Professor at Indian Institute of Information Technology Agartala, India📖
Dr. Parijata Majumdar is an accomplished academic and researcher with expertise in Artificial Intelligence, Machine Learning, IoT, Precision Agriculture, and Blockchain Technology. She holds a Ph.D. in Computer Science and Engineering from NIT Agartala (2023), where she developed AI approaches for precision agriculture. Currently, she serves as an Assistant Professor at the Indian Institute of Information Technology, Agartala, and an Associate Professor at Techno College of Engineering Agartala. Her work includes a postdoctoral collaboration on metaheuristic algorithms with Prof. Diego Alberto Oliva Navarro, University of Guadalajara, Mexico. Dr. Majumdar has received numerous accolades, including the EARG Award 2024 for Excellence in Research and Development, and has published significant contributions in journals indexed by Scopus and ISI Thomson Reuters.
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Education Background🎓
Dr. Majumdar completed her Ph.D. in Computer Science and Engineering from NIT Agartala in 2023, focusing on AI approaches for precision agriculture applications. She earned her M.Tech in Computer Science and Engineering with a Gold Medal from Tripura University in 2018 and her B.E. in Computer Science and Engineering from TIT Narsingarh in 2016. Additionally, she holds a Diploma in Computer Science and Technology from Women’s Polytechnic, Hapania (2013), and achieved distinction in her Madhyamik examination under the Tripura Board of Secondary Education in 2010.
Professional Experience🌱
Dr. Majumdar is currently an Assistant Professor at the Indian Institute of Information Technology, Agartala (since August 2024) and has been serving as an Associate Professor in Computer Science and Engineering at Techno College of Engineering Agartala since November 2023. She joined TCEA as an Assistant Professor in February 2018. Over the years, she has taken on various responsibilities, including Placement Coordinator, Coding Club Coordinator, Departmental Event Coordinator, and NAAC Student Support Team member. She has also been actively involved in coordinating admission processes, mentoring students, and organizing departmental activities.
Dr. Majumdar’s research interests lie at the intersection of advanced technologies and real-world applications. Her areas of expertise include Machine Learning, Optimization Techniques, IoT, Green IoT, Precision Agriculture, Image Processing, Pattern Recognition, and Blockchain Technology. Her work focuses on leveraging these technologies to develop sustainable and efficient solutions for industrial and agricultural applications.
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Publications Top Notes 📄
1. IoT for Promoting Agriculture 4.0: A Review from the Perspective of Weather Monitoring, Yield Prediction, Security of WSN Protocols, and Hardware Cost Analysis
- Authors: P. Majumdar, S. Mitra, D. Bhattacharya
- Journal: Journal of Biosystems Engineering
- Volume/Issue: 46(4)
- Pages: 440-461
- Year: 2021
- Citations: 30
2. Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges, and Research Trends in the Era of 5G, LPWANs, and Internet of UAV Things
- Authors: P. Majumdar, D. Bhattacharya, S. Mitra, B. Bhushan
- Journal: Wireless Personal Communications
- Volume/Issue: 131(3)
- Pages: 1767-1816
- Year: 2023
- Citations: 26
3. Demand Prediction of Rice Growth Stage-Wise Irrigation Water Requirement and Fertilizer Using Bayesian Genetic Algorithm and Random Forest for Yield Enhancement
- Authors: P. Majumdar, D. Bhattacharya, S. Mitra, R. Solgi, D. Oliva, B. Bhusan
- Journal: Paddy and Water Environment
- Volume/Issue: 21(2)
- Pages: 275-293
- Year: 2023
- Citations: 15
4. Honey Badger Algorithm Using Lens Opposition-Based Learning and Local Search Algorithm
- Authors: P. Majumdar, S. Mitra, D. Bhattacharya
- Journal: Evolving Systems
- Volume/Issue: 15(2)
- Pages: 335-360
- Year: 2024
- Citations: 12
5. IoT and Machine Learning-Based Approaches for Real-Time Environment Parameters Monitoring in Agriculture: An Empirical Review
- Authors: P. Majumdar, S. Mitra
- Book Chapter: Agricultural Informatics: Automation Using the IoT and Machine Learning
- Pages: 89-115
- Year: 2021
- Citations: 11
Conclusion
Dr. Parijata Majumdar stands out as a highly suitable candidate for the Best Researcher Award. Her expertise in cutting-edge technologies, significant contributions to impactful research areas like Agriculture 4.0, and her leadership in academic roles make her a strong contender. While there are opportunities to further enhance her research’s breadth and outreach, her current achievements, collaborations, and recognition are commendable. Awarding her would not only honor her individual excellence but also inspire further advancements in sustainable technology and precision agriculture.