Anindita Raychaudhuri
Also known as: Anindita Ray
Sarojini Naidu College for Women, B.P.Poddar Institute of Management & Technology
Research areas: Computer Science · Computer Networks and Communications · IoT and Edge/Fog Computing · Energy Efficient Wireless Sensor Networks · Recommender Systems and Techniques
About
I am currently working as an Assistant Professor in the Department of Computer Science at Sarojini Naidu College for Women, Kolkata (Govt. Sponsored) from September 2019. Previously, I served B.P.Poddar Institute of Management & Technology, Kolkata as Lecturer from March 2005 to Jun 2010 and as Assistant Professor from July 2010 to September 2019.
I have completed my Ph.D.(Computer Science & Engineering) from MAKAUT, WB in 2018. I have completed my M.Tech. (Software Engineering) in 2012 from WBUT and completed my MCA from the University of North Bengal, Darjeeling in 2003.
I have co-authored a number of research papers published in journals, conferences and book chapters of international repute and worked as session chair in several international conferences. My areas of research interest are Wireless Sensor Network, Sensor Cloud, Bio-inspired Computing and Network Analysis.
Employment
- 2019 - Present
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B.P.Poddar Institute of Management & Technology2005 - 2019
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Demographic-KM: An Optimized Movie Recommendation System Using Demographic Information and K-Means Clustering Save
- Intrusion Detection in Cloud-IoT Systems: Challenges and Opportunities Save
- Classical-quantum hybrid recommendation system based on collaborative filtering and demographics Save
- Correction: Classical-quantum hybrid recommendation system based on collaborative filtering and demographics (Quantum Machine Intelligence, (2025), 7, 2, (68), 10.1007/s42484-025-00294-0) Save
- Resource Management in IoT-Cloud-Based Systems Save
- Corrigendum to Energy-Efficient Coverage Optimization in Wireless Sensor Networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm [AdHoc Networks Volume 122 (November 2021) 102660] Save
- Green Internet of Things Using Mobile Cloud Computing: Architecture, Applications, and Future Directions Save
- Green Internet of Things Using Mobile Cloud Computing: Architecture, Applications, and Future Directions Save
- SMEC: Sensor Mobile Edge Computing Save
- SMEC: Sensor mobile edge computing Save
- Bio-inspired Algorithm for Multi-objective Optimization in Wireless Sensor Network Save
- Identifying Influential Nodes Based on Network Topology: A Comparative Study Save
- Performance evaluation of tree based data aggregation for real time indoor environment monitoring using wireless sensor network Save
- Maximizing lifetime and coverage for minimum energy wireless sensor network using corona based sensor deployment Save
- Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm for enhanced network lifetime in wireless sensor network Save
- Architecture of green sensor mobile cloud computing Save
- Performance Analysis of Different Tree Structures in Heterogeneous Wireless Sensor Network Save
- An energy efficient sensor movement approach using multi-parameter reverse glowworm swarm optimization algorithm in mobile wireless sensor network Save
- Analysis of energy consumption for IARP, RIP and STAR routing protocols in wireless sensor networks Save
- Level Wise Initial Energy Assignment in Wireless Sensor Network for Better Network Lifetime Save