Lucy Dash
Assitant Professor
Dr. Lucy Dash earned her Ph.D. in Computer Networking in 2024 from Siksha ‘O’ Anusandhan University. She earned her Master’s degree in Information Technology in 2014 from Utkal University. She completed her M.Sc. in Computer Science in 2012 from Utkal University, Odisha. She has published many papers of national and international repute to her credit. She has profound expertise in WSNs, Software Engineering, Operating Systems and Database Management System. She was previously engaged as a full time research scholar in Computer Science and Engineering department of S’O’A deemed to be University where she was actively involved in many organizational roles along with academics. She is very much to collaborate in research and other aspects of organizational development.
PhD in Computer Science and Applications
1.Dash, Lucy, et al. ""A data aggregation approach exploiting spatial and temporal correlation among sensor data in wireless sensor networks."" Electronics 11.7 (2022): 989.
2.Dash, Lucy, et al. ""Network Lifetime Enhancement by Elimination of Spatially and Temporally Correlated RFID Surveillance Data in WSNs."" Wireless Communications and Mobile Computing 2022.1 (2022): 2437578.
3.Dash, Lucy, and Mitrabinda Khuntia. ""Energy efficient techniques for 5G mobile networks in WSN: A Survey."" 2020 international conference on computer science, engineering and applications (ICCSEA). IEEE, 2020.
4.Dash, Lucy, et al. ""Energy Efficient Localization Technique Using Multilateration for Reduction of Spatially and Temporally Correlated Data in RFID System."" Tikrit Journal of Engineering Sciences 31.1 (2024): 101-112.
5.Dash, Lucy, et al. ""A Novel Spatio-Temporal Data Redundancy Elimination Approach for RFID Systems with Multiple Readers.""
6. Majumder, P., Dash, L., Sinha, K., & Sinha, B. P. (2018, December). CMNS: An energy-efficient communication scheme for wireless sensor networks. In 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 1-6). IEEE."
Books :
1. Dash, L., & Khuntia, M. (2021). A survey on various security issues for 5G mobile networks in WSN. In Intelligent and Cloud Computing: Proceedings of ICICC 2019, Volume 1 (pp. 669-679). Springer Singapore.