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Dr. Santoshinee Mohapatra

Qualification : Ph.D.

Course Specialization Group College Name/University Year of Passing
Ph.D. Computer Science and Engineering Computer Science and Engineering National Institute of Technology (NIT), Rourkela 2020
M.Tech. Computer Science and Engineering Computer Science and Engineering Veer Surendra Sai University of Technology (VSSUT), Burla 2014
B.Tech. Computer Science and Engineering Computer Science and Engineering Biju Patnaik University of Technology (BPUT), Rourkela 2011

Note : Students are advised to meet me in Room No : WB - 214 at any time other than my class hours mentioned in the below timetable for any discussions related to the subjects & research.

My Schedule for 2019-20

                  

My Publications

S.No Title of the Paper Full Details of Journal Name / Conference Name, Volume number, page number, Date
1 "Fault diagnosis in wireless sensor network using clonal selection principle and probabilistic neural network approach." International Journal of Communication Systems (2019): e4138.
2 "Artifiial immune system based fault diagnosis in large wireless sensor network topology." Region 10 Conference, TENCON 2017- 2017 IEEE. IEEE, 2017.
3 "Forest fire monitoring and detection of faulty nodes using wireless sensor network." Region 10 Conference (TENCON), 2016 IEEE. IEEE, 2016.
4 "Performance Comparison of Different Routing Protocols over Wireless Sensor Network." IJCNS, Volume 4 : Issue 3,2014.
5 "Immune inspired fault diagnosis in wire- less sensor network." Nature-Inspired Computing for Wireless Sensor Networks. Springer, Sin- gapore, 2019. (Accepted)
6 "Fault Diagnosis in Wireless Sensor Net- work using Self/Non-self Discrimination Principle." Proceedings of ICCAN 2019, Springer, 2019. (Accepted)
7 "Fault Detection for VANET using Vehicular Cloud." International Conference on Intelligent and Cloud Computing (ICICC-2019). Springer, 2019. (Accepted)
8 "Fault Diagnosis in Wireless Sensor Network using Negative Selection Algorithm and Support Vector Machine." Computational Intelligence 35.4 (2019). (Revision submitted)