Dr Swathypriyadharsini P - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	02.07.2018

Degree	Specialization	Institute	University	Year of Passing
B.E	COMPUTER SCIENCE AND ENGINEERING	AVINASHILINGAM UNIVERSITY FOR WOMEN	Anna University, Chennai	2010
M.E	COMPUTER SCIENCE AND ENGINEERING	Bannari Amman Institute of Technology	Anna University, Chennai	2012
Ph.D	INformation and Communication Engineering	Bannari Amman Institute of Technology	Anna University, Chennai	2020

Sureka N, Vasanthakumar G U, Swathypriyadharsini P, Haider Alabdeli and Bhupathi Prashanthi, “Efficient Spectrum Sensing in Cognitive Radio Network Using Multi-Objective Improved Salp Swarm Algorithm,” 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT), Bengaluru, India, 2024, Pages. 1-4, Doi: 10.1109/Icdcot61034.2024.10516096.

Swathypriyadharsini P and Premalatha K, “Hybrid Cuckoo Search with Clonal Selection for Triclustering Gene Expression Data of Breast Cancer”, IETE Journal of Research, Vol. No.69, Issue No.5, Jul 2023.

Dr K Premalatha, 1. Dr Swathypriyadharsinip, “A Comprehensive Review on Triclustering Techniques in Three-Dimensional Data Analysis: Unveiling Patterns Across Biomedical and Social Domains”, Corpus Id: 268754593.

P Swathypriyadharsini, K Premalatha Comparison of Cuckoo Search and Particle Swarm Optimisation in Triclustering Temporal Gene Expression Data International Journal of Swarm Intelligence, Pages. 55-72, 2019.

Swathypriyadharsini P, K Premalatha Rough Fuzzy Cuckoo Search for Triclustering Gene Expression Data Turkish Journal of Electrical and Computer Science Engineering, Pages. 4328-4339, 2019.

Swathypriyadharsini P, K Premalatha Particle Swarm Optimization for Triclustering High Dimensional Microarray Gene Expression Data Research Journal of Pharmacy and Technology, 2019.

Swathypriyadharsini P, K Premalatha Triocuckoo: A Multi Objective Cuckoo Search Algorithm for Triclustering Microarray Gene Expression Data Journal of Information Science and Engineering, Pages. 1617-1631, 2018.

Swathypriyadharsini P, K Premalatha Comparative Study on Swarm Intelligence Techniques for Triclustering of High Dimensional Microarray Gene Expression Data Journal of Advanced Research in Dynamical and Control Systems, Pages. 582-593, 2018.

Swathypriyadharsini P Artificial Immune System for Bloom Filter Optimization International Journal of Computer Applications, Volume 41, Issue No. 8, 2012.

Swathypriyadharsini P, Premalatha K, Chitradevi T N, “Speech Recognition By Building Intelligent Voice Assistants”, Thirteenth National Conference on Innovations in Information Technology (NCIIT)”,BIT, 2024.

Swathypriyadharsini P, “Big Data Analytics of Cybercrime”, Recent Trends on Ubiquitous Computing and Communication Technology, September 2019

Swathypriyadharsini P and K Premalatha, “Coexpression Analysis of Androgen Receptor Modulator Effect in Time Series Microarray Gene Expression Data”, IEEE Conference ICACCE, April 2019

Swathypriyadharsini P, “Mining Triclusters in Temporal Microarray Gene Expression Data using Cuckoo Search Optimization”, International Conference on Bioscience and Bioinformatics, December 2017

Swathypriyadharsini P, “Optimiztion for Mining Tricluster in Temporal Gene Expression Data”, National Conference on Innovations in Information Technology, March 2017

Swathypriyadharsini P, “Optimization of Bloom Filter using Evolutionary Optimization”, International Conference on Recent Advances in Computing and Software Systems, April 2012

Swathypriydharsini P, “Genetic Algorithm for Optimization of Bloom Filter in Spam Filtering”, International Conference on Advaned Compupting Technology, March 2012

Swathypriyadharsini P, “A Comparison Study of Genetic Algorithm and Artificial Immune System”, National Conference on Innovations in Information Technology, February 2012

Swathypriyadharsini P, “Optimization of Bloom Filter for Spam Filtering using Evolutionary Algorithm”, National Conference on Emerging Trends in Computer Science and Engineering, January 2012

“Signal Recovery for Efficient Scheduling in Wireless Networks”, National Conference on Intelligent computing, February 2010

S.No	Reg. No.	Reg. Date	Name of the Scholar	Title of the Ph.D Thesis / Tentative title of the Research	Status
1	Pavithra G	24244691196	20.12.2023	Optimization For Building Classification For Early Prediction Of Cancer Disease	Course in Progres
2	Chitradevi T N	24244691122	20.12.2023	Classification Using Deep Learning For Early Prediction Of Creutzfeldt-Jakob Disease	Course in Progres
3	Balamurugan E	24144691200	24.12.2023	Optimizing Water Usage in the Textile Industry Through Iot Enabled Real Time Monitoring and Reporting	Course in Progres

S.No.	Title	Date	Reg. No.	Status	Level	Funding Agency
1	MOUSE ATTACHABLE HOLDER	21.02.2024	408716-001	Filed	National	Self
2	SMART SYSTEM FOR EXPIRY DATE MANAGEMENT	07.08.2019	201941033115	In Progress	National Level

S.No.	Topic	Program	Venue	Date
1	Machine Learning using Python	Guest Lecture-One Day Training Programme	Rythmos Technologies Through Phoenix Tech, Coimbatore	11.09.2023

S.No.	Awards
1	NPTEL Topper of the Course Big Data Computing 11.12.2023.