Lekshmy P Chandran

Assistant Professor,Computer Science and Engineering

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Qualification : M.Tech in Computer Science - Information Security
Professional Experience : Teaching -10 years (Engineering colleges under CAPE, Govt. Of Kerala)
Industry- 1 Year (Member Technical Staff, Oracle India Pvt. Ltd.)
Areas of Interest : Artificial Intelligence in health care, Machine Learning, Deep Learning, Bioinformatics.
Publications : 1. Sakshi Jha, Neelima Sajeev, Aarthi Rajesh, Lekshmy P. Chandran, Abdul Nazeer K. A. , "Performance Evaluation of Deep Learning Architectures for Predicting 3D Dose Distributions in Automatic Radiotherapy Treatment Planning", IEEE Conference (CISES-2022).
2. Ashish Kumar, Lekshmy P. Chandran, Niyas Puzhakkal, and Abdul Nazeer K.A, "Deep learning technique for predicting optimal Organ At Risk dose distribution for brain tumor patients" Congress on Intelligent Systems 2020 (CIS 2020) Organized by Soft Computing Research Society, New Delhi.
3. Jerril Mathson Mathew and Lekshmy P. Chandran. "Parallel implementation of fuzzy clustering algorithm based on MapReduce computing model of hadoop - A detailed survey." International Journal of Computer Science and Information Technologies, 6.5 (2015): 4740.
4. Susan Aisoo Thomas, Lekshmy P Chandran, Bindu.M.S "Can A Question Answering System Predict? - A Survey", IJREAT International Journal of Research in Engineering and Advanced Technology, Volume 3, Issue 4, Aug- Sept, 2015.
5. Lekshmy P. Chandran„ and KA Abdul Nazeer. "An improved clustering algorithm based on K-means and harmony search optimization." Recent Advances in Intelligent Computational Systems. IEEE, 2011.
FDP and Workshops Attended: : 1. Workshop on Introduction to Generative Adverserial Networks (GAN Art 2021), Department of CSE, NIT Calicut, May 20 - 22, 2021
2. FDP on Mathematics for Data Science, Department of Basic Science and Humanities, Muthoot Institute of Technology and Science, Aug 10 - 14, 2020.
3. FDP on Enriching Research Acumen, Department of CSE, Christ College of Engineering Irinjalakuda, July 25 - 29, 2020.
4. FDP on Deep learning and Machine learning approaches and its applications, Department of Electrical Engg, NIT Calicut, Dec 9 - 13, 2019.
5. Workshop on Design & Analysis of Algorithms6 Days (April 24 – 29, 2015) ACM Trivandrum Chapter at IIITMK, Trivandrum
6. National Workshop on Big Data Analytics in Bioinformatics3 Days (16 – 18 February 2015) Department of CSE, National Institute of Technology Calicut.
Achievements: : 1. . Secured 1st rank and Gold medal in MTech from NIT Calicut, 2011.
2. Secured 2nd rank in B.Tech IT, Kerala University, 2009.