Theepalakshmi P
Assistant Professor
Department of Artificial Intelligence and Data Science
GITAM School of Technology
Bengaluru
Education
M. Sc.
tpalaniv@gitam.edu
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P. Theepalakshmi hails from Ramanathapuram, Tamil Nadu, and currently serves as an Assistant Professor in the Artificial Intelligence and DS department at a Bengaluru campus. She earned her Ph.D. from NITT, specializing in bioinformatics within the computer applications department, focusing on optimization and metaheuristic algorithms. She has successfully cleared the NET and holds a valid GATE score. Her research interests are centered around bioinformatics, particularly in opt. alg.
Research Publications
- P. Theepalakshmi, U. Srinivasulu Reddy. Freezing firefly algorithm for efficient planted (ℓ, d) motif search. Medical and Biological Engineering and Computing (2022): 60(2):511-530. DOI: 10.1007/s11517-021-02468-x. (SCI, IF:2.602, Q2 Journal, Springer)
- P. Theepalakshmi, U. Srinivasulu Reddy- A New Efficient Quroum Planted (l, d) Motif Search on Chip-seq Dataset Using Segmentation to Filtration and Freezing Firefly Algorithms, Soft Computing (2023): 1-22. DOI: https://doi.org/10.1007/s00500-023-09236-z (SCIE, IF: 3.732, Q1 Journal, Springer)
- P. Theepalakshmi & U. Srinivasulu Reddy- “Finding the transcription factor binding locations using novel algorithm segmentation to filtration (S2F)” Journal of Ambient Intelligence & Humanized Computing (2024): (1-12). DOI: https://doi.org/10.1007/s12652-024-04812-z (SCOPUS, Q2 Journal, Springer)
- E.Helen Parimala, Dr.S. Albert Rabara, P.Theepalakshmi, Y.Sunil Raj , “An Effective Distributed Denial Of Service Attack Detection Model In Integration Of Internet Of Things And Cloud Computing Using Binary Fire Fly Optimization Algorithm”, International Journal of Scientific & Technology Research 8. 11(2019): 709-716.
Ongoing Research Projects
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Motif finding in Time Series data using Bioinspired algorithms
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Gapped motif finding using optimization algorithms
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Find the early prediction of motifs to prevent disease progression at its initial stage
Expertise
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Bioinformatics with Optimization algorithms
