Dr. Lekshmy P Chandran
Assistant Professor,Computer Science and Engineering
lekshmypchandran@cepathanapuram.ac.in / 9446477635| Qualification | : | Ph.D. from Department of Computer Science and Engineering, Thesis titled: "Enhanced deep learning architectures for radiotherapy dose prediction in cancer treatment", National Institute of Technology Calicut, 2024. |
| Professional Experience | : | Teaching -12 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. Lekshmy P Chandran, Abdul Nazeer K. A., Niyas Puzhakkal, Dinesh Makuny, “MemU-Net : A new volumetric dose prediction model using deep learning techniques in radiation treatment planning” Biomedical Signal Processing and Control, Elsevier, 85, p. 104940, 2023.
2. Lekshmy P Chandran, Abdul Nazeer K. A., Niyas Puzhakkal, Dinesh Makuny, “A 3D U-Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning ” International Journal of Imaging Systems and Technology, Wiley, 34(1) p.e22939, 2024. 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. |
| Conferences: | : | 1. Aparna V, Hridika K. V., Pooja S. Nair, Lekshmy P. Chandran, Abdul Nazeer K. A., “Automating dose prediction in Radiation treatment planning using Self attention based generative adversarial network”, In Congress on Intelligent Systems, pp. 15-25. Springer Nature Singapore, 2023.
2. 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). 3. 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. 4. 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. Six day national level FDP on " The Generative AI Revolution: Navigating the oppurtunities and Challenges" organised by Department of computer Applications, FISAT in association with TCS, Kochi from 12th August 2024 to 19th August 2024.
2. Five days Workshop and FDP on "N-HANS: From transformers to LLM during December 12 - 16, 2023" Organised by Department of Computer Science & Engineering, IIIT Kottayam. 3. Workshop on Introduction to Generative Adverserial Networks (GAN Art 2021), Department of CSE, NIT Calicut, May 20 - 22, 2021 4. FDP on Mathematics for Data Science, Department of Basic Science and Humanities, Muthoot Institute of Technology and Science, Aug 10 - 14, 2020. 5. FDP on Enriching Research Acumen, Department of CSE, Christ College of Engineering Irinjalakuda, July 25 - 29, 2020. 6. FDP on Deep learning and Machine learning approaches and its applications, Department of Electrical Engg, NIT Calicut, Dec 9 - 13, 2019. 7. Workshop on Design & Analysis of Algorithms, 6 Days (April 24 – 29, 2015) ACM Trivandrum Chapter at IIITMK, Trivandrum. 8. National Workshop on Big Data Analytics in Bioinformatics, 3 Days (16 – 18 February 2015) Department of CSE, National Institute of Technology Calicut. |
| Professional Activities: | : | 1. Reviewer, Journal: Biomedical Signal Processing and control, Elsevier (Impact factor - 4.9).
2. Reviewer, International Conference on Intelligent Technologies in Computer and Engineering Science, ITCES College of Engineering Perumon, June 2023. 3. Reviewer, IEEE International Conference on Communication, Control and Information Sciences, GEC Idukki, 2021. |
| 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. |