Parijata Majumdar | Artificial Intelligence | Women Researcher Award

Dr. Parijata Majumdar | Artificial Intelligence | Women Researcher Award

Dr at Techno College of Engineering Agartala India

Dr. Parijata Majumdar is an accomplished academic and researcher in Computer Science and Engineering, currently serving as Associate Professor at Techno College of Engineering Agartala (TCEA). She holds a Ph.D. from NIT Agartala, specializing in AI for Precision Agriculture. With expertise in Machine Learning, Optimization Techniques, and IoT, her research focuses on applications in Precision Agriculture, Image Processing, and Blockchain. Dr. Majumdar has authored numerous SCI and SCOPUS indexed publications, holds multiple patents, and has received several awards and recognitions for her contributions to research and development. She actively participates as a reviewer and speaker in international conferences and journals.

profile:

Scopus

Scholar

 

šŸŽ“ Educational Qualification Details:

Madhyamik (Secondary Education): Board: Tripura Board of Secondary Education Year: 2010 Percentage: 70.29% Division: First Class. Diploma in Computer Science: Institution: Womenā€™s Polytechnic, Hapania Affiliated: Tripura University Year: 2013 CGPA: 8.27 (A Grade). B.E. in Computer Science and Engineering: Institution: TIT, Narsingarh Affiliated: Tripura University Year: 2016 CGPA: 7.92 (B Grade). M.Tech. in Computer Science and Engineering: Institution: Tripura University Year: 2018 CGPA: 8.97 (Gold Medalist). Ph.D. in Computer Science and Engineering: Institution: NIT Agartala Year: 2023 (October) Thesis: “Design and Development of AI Approaches for Precision Agriculture Applications” Supervisor: Dr. Diptendu Bhattacharya, Associate Professor, NIT Agartala

šŸ“š MOOCs/SWAYAM/FDP/Online Courses:

Computational Intelligence (AICTE Training And Learning, NIT Agartala), Joy of Computing using Python (NPTEL, IIT Madras), Internet of Things and Sensor Networks (TEQIP-III, Tripura Institute of Technology), Recent Trends and Research Opportunities in Engineering and Technology (TCEA), Contrast Enhancement in Poor Visibility (Global Initiative of Academic Networks, Tripura University), Image and Video Forensics (Global Initiative of Academic Networks, Tripura University), Entrepreneurship Skills Development Using Open Access Resources (TEQIP-II, Tripura Institute of Technology), Security aspects of IoT based Eco System (AICTE Training And Learning, ATAL Academy)

šŸ‘©ā€šŸ« Working Experience Profile:

Assistant Professor (Regular): Techno College of Engineering Agartala (TCEA) since February 2018., Associate Professor: Techno College of Engineering Agartala (TCEA) since November 2023.

Publication:šŸ“

  • Title: 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
    Year: 2021
    Volume: 46
    Issue: 4
    Pages: 440-461
    Citations: 21

 

  • Title: 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
    Year: 2023
    Volume: 131
    Issue: 3
    Pages: 1767-1816
    Citations: 13

 

  • Title: IoT and machine learningā€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
    Year: 2021
    Pages: 89-115
    Citations: 9

 

  • Title: Detection of Inflammation from temperature profile using Arthritis knee joint Datasets
    Authors: P. Majumdar, K. Das, N. Nath, M.K. Bhowmik
    Conference: 2018 IEEE International Conference on Healthcare Informatics (ICHI)
    Year: 2018
    Pages: 409-411
    Citations: 7

 

  • Title: Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm
    Authors: P. Majumdar, D. Bhattacharya, S. Mitra
    Journal: Theoretical and Applied Climatology
    Year: 2023
    Volume: 153
    Issue: 1
    Pages: 649-673
    Citations: 4

 

  • Title: 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
    Year: 2023
    Volume: 21
    Issue: 2
    Pages: 275-293
    Citations: 4

 

  • Title: Honey badger algorithm using lens opposition based learning and local search algorithm
    Authors: P. Majumdar, S. Mitra, D. Bhattacharya
    Journal: Evolving Systems
    Year: 2024
    Volume: 15
    Issue: 2
    Pages: 335-360
    Citations: 2