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 & EXPERIENCE
Dr. Parijata Majumdar is a distinguished academic and researcher in the field of Computer Science and Engineering. Her educational journey reflects a consistent record of excellence, beginning with her Madhyamik from the Tripura Board of Secondary Education in 2010, followed by a Diploma in Computer Science in Technology in 2013. She earned her B.E. in Computer Science and Engineering in 2016 and then an M.Tech in the same discipline from Tripura University in 2018, graduating as a Gold Medalist. She completed her Ph.D. in October 2023 from NIT Agartala, with a thesis focused on AI approaches for precision agriculture. Professionally, she has served as an Assistant Professor at Techno College of Engineering Agartala (TCEA) since 2018, was promoted to Associate Professor in 2023, and began serving as an Assistant Professor at IIIT Agartala in August 2024. Her responsibilities span admissions, placements, social media management, academic sections, and research guidance, showcasing a well-rounded experience in academic leadership and development.
✅ SUITABILITY SUMMARY
Dr. Majumdar’s background positions her as a valuable contributor in domains intersecting education, research, and real-world technological application. With a specialization in AI, IoT, and agriculture, she has worked on projects involving automated irrigation systems, disease detection in crops, and data-driven agriculture analytics. She is equally experienced in teaching and mentoring, has led departmental initiatives, and played an active role in academic coordination and student outreach. Her presence in both academia and applied research environments, combined with a strong publication and patent record, marks her as exceptionally suited for roles in R&D, higher education leadership, and interdisciplinary innovation projects.
🌍 PROFESSIONAL DEVELOPMENT
Dr. Parijata Majumdar is deeply committed to professional growth through lifelong learning. She has participated in numerous FDPs, workshops, and MOOCs offered by leading institutions like NPTEL (IIT Madras), AICTE-ATAL Academy, GIAN, TEQIP, and several national engineering colleges. Some of the key topics she has engaged with include Computational Intelligence, IoT Ecosystem Security, Contrast Enhancement, Python Programming, and Research Pedagogy in AI/ML. Her participation also extends to workshops planned in VIT-AP, Budge Budge Institute of Technology, and IIIT Dharwad. This extensive professional development activity emphasizes her proactive approach to staying updated with evolving technological trends and teaching methodologies.
🔬RESEARCH FOCUS
Dr. Majumdar’s core research revolves around Machine Learning, Optimization Techniques, Internet of Things (IoT), Green IoT (GIoT), Precision Agriculture, Image Processing, Pattern Recognition, and Blockchain Technology. Her doctoral work explored AI-based frameworks for smart agricultural systems. Her notable collaborations include projects with Prof. Diego Alberto Oliva Navarro (University of Guadalajara, Mexico) and Prof. Debashis De (MAKAUT, West Bengal). She has filed and published two Indian patents—one on automated crop irrigation systems and another on a CNN-based model for early crop disease detection. She has served as a reviewer and editorial board member for numerous reputed journals including Elsevier, IEEE, Hindawi, and Springer, actively contributing to the global research community.
🏆 HONORS & AWARDS
Dr. Parijata Majumdar has received several prestigious recognitions that highlight her academic and professional excellence. She was awarded the EARG Awards 2024 for Excellence in Research and Development. A Gold Medalist in her postgraduate studies, she is also a published patent holder in the domain of AI-powered agriculture. Her thought leadership is widely acknowledged through her role as a Distinguished Speaker at global conferences in Amsterdam, Barcelona, and Mauritius. Additionally, she has served as a session chair, keynote speaker, expert reviewer, and editorial board member across a range of national and international platforms. These accolades affirm her impact as a trailblazer in technology-driven education and research.
📚 TOP NOTES PUBLICATIONS
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