Quantum Cryptography, Quantum Communication, Computer Networks Computer Architecture and Organization.
M.E – Power Electronics and Drives - Anna University - 2007
B.E – Electronics and Communication – Madras University – 2004
Diploma – Electronics and Communication – DoTE – 2001
April 2009 to June 2025: Assistant Professor – Computer Science, CDOE, Anna University, CEG Campus, Chennai-25.
July 2007 to March 2009: Lecturer – MCA Department, Arunai Engineering College, Tiruvannamalai.
IoT-based Asset Tracking and Management System for Supply Chain - Application Number: 202441028759
Publications (International Journals):
D, Ilakkiaselvan, R. J. Kavitha, Optimized Efficient Predefined Time Adaptive Neural Network for Identifying Parameters in QBER, International Journal of Communication Systems, Vol. 38, Issue no.5, p. e70009, 2025.
Kavitha, R. J., & Ilakkiaselvan, D, Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction. Network: Computation in Neural Systems, Vol.35, Issue no.4, pp. 379–402, 2024.
Elakkiyachelvan, E., Kavitha, R., Anandavalli, P., Thamizhmani, T., Dhandapani, I. & Balamurugan, V. (2026). Low complexity channel estimation massive MIMO OFDM using deformable long-range attention convolutional graph networks. Frequenz, 80(1-2), 103-115.
International Conference
"Random Forest Bayesian Optimization Deep Transformer-Based Heterogeneous Spatiotemporal Graph Neural Network for Identifying Parameters in QKD," 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG), Chennai - 600077, Tamil Nadu, India, 2024, pp. 1-7.
“Camouflagued Anomaly Detection: A Stonefish-DBSCAN Approach for Secure UWSNs” 2025 International Conferences on Advanced Research in Electronics and Communication Systems (ICARECS) organized by SRM institute of Science and Technology, Vadapalani Campus,2025, pp.379-389.
"A Robust Adaptive Framework for Channel Estimation in Massive MIMO Systems with Intelligent Reflecting Surfaces," 2025 International Conference on Emerging Technologies in Engineering Applications (ICETEA), Puducherry, India, 2025, pp. 1-5.
Book Chapter:
Ilakkiaselvan, D, Sujithra, J., Priya, V. Helen Deva, Rajeshwar, J., Seetaram,
J. Visvanathan, Fortifying Green Supply Chains: Blockchain- Backed Network Security for
Resilient and Sustainable Logistics, in Sustainable Supply Chains and Carbon Footprint
Reduction, pp. 87-109, Wiley Publications.
Completed NPTEL – AICTE, FDP on “Introduction to Machine Learning” (January-March 2025).
Participated in 5 days IRDP on “Incentive research Conceptions Using Advanced Learning Models”, conducted by CSE Dept., St.Joseph’s Institute of Technology, Chennai (16.12.2024 to 20.12.2024).
Participated in 3 days workshop on “Big Data Analytics”, conducted by CSE Dept., St.Joseph’s Institute of Technology, Chennai (21.11.2024 to 23.11.2024).
Attended two- day’s FDP on “Deep Learning and IOT Technologies in Precision Healthcare”, conducted by DCA, Kongu Engineering College, Erode (16.07.2024 and 17.07.2024).
Attended one-day workshop on IOT Based Smart Community conducted by DCT, Anna University, MIT Campus, and TEKION Corp., Chennai. (06.03.2024).
Participated in 5 days FDP on, "Machine Learning using Python", Department of Computer Science and Engineering, NITTTR, Chandigarh, 19th Feb 2024 to 23rd Feb 2024.
Participated in 5 days FDP on “Complex Networks Analysis using Python”, conducted by Dept. of CSE, NITTTR, Chandigarh. (15.01.2024 to 19.01.2024).
Participated in 12 days FDP on “Recent Trends in Immersive Technology”, conducted by FDTC, Government College of Technology, Coimbatore. (05.06.2023 to 17.06.2023).
Participated in 5 days FDP on “Data Analytics and Artificial Intelligence in Healthcare” conducted by Dept. of Biomedical Engineering in association with BMESI, Jerusalem College of Engineering, Chennai. (22-05-2023 to 26-05-2023).
Completed 4 weeks course on Python for Data Science, conducted by NPTEL-AICTE. (July to Aug 2022).
Participated in 2 days workshop on Data Analytics with MongoDB, conducted by DIST, CEG Campus, Anna University Chennai. (08.06.2022 to 09.06.2022).
Participated in 5 days FDP on “Open Source Tools for Data Analytics” conducted by Dept. of
CSE, Sairam Engineering College, Chennai. (24-5-2021 to 28-5-2021).
Attended one-day workshop on “Association Rule Mining” conducted by, Dept. of ISE, CSE & IQAC, Nagarjuna College of Engineering & Technology, Bengaluru. (29.05. 2021).
Attended two days webinar on “Robotics Process Automation”, Dept of IT, Jerusalem College of Engineering, Chennai. (06.06.2020).
Attended one-day webinar on “Microservices Architecture and Kubernetes”, conducted by Department of IT, Jerusalem College of Engineering, Chennai. (27.05. 2020).
Participated in 2 days IQAC national workshop on Role of Teachers in Student Support System conducted by FEAT, Annamalai University, Chidambaram. (15.11.2019 to 16.11.2019).
Attended one-day workshop on Python for Data Science conducted by Pre- Conference ICIIT, DIST, Anna University, Chennai. (27.10.2018).
Attended a two days workshop on Social Network Analysis & Mining conducted by DIST, Anna University Chennai. (23.03.2012 to 24.03.2012).
Participated in 3 days program on Instructional Design and Delivery conducted by Arunai Engineering College with National Institute of Technical Teachers Training and Research, Chennai. (10.12.2007 to 12.12.2007).
Attended two weeks ISTE workshop on Database Management System conducted by Indian Institute of Technology, Bombay.
Attended two weeks ISTE workshop on Effective Teaching of Computer Programming conducted by Indian Institute of Technology, Bombay.
Attended two weeks ISTE workshop on Advances in Database conducted by Anna University Chennai.
Participated one-day workshop on Data Analysis and Neural Networks using Python conducted by Anna University Chennai.
SRMIST Vadapalani
Welcome to the academic hub of SRMIST Vadapalani, where excellence meets opportunity and where students, faculty and staff collaborate to create an environment of intellectual curiosity, personal growth and academic excellence.
