Assistant Professor
Computer Science & Artificial Intelligence
SRM University AP
8
Quantum Computing, Deep Learning, Compressive Sensing, Seismic Data Processing, Biomedical Data Processing.
Signal Processing Based on Quantum Computing and Deep Learning.
Ph.D in Electronics and Communication Engineering (Signal Processing) from SRM University AP
M.Tech in VLSI and SD from JNTUH
B.Tech in Electronics and Communication Engineering from JNTUH
Teaching Assistant at SRM University AP, from 2024-01-10 to 2026-06-25.
Assistant Professor at Sri Indu College of Engineering and Technology, from 2023-04-13 to 2024-01-09.
Assistant Professor at Teegala Krishna Reddy Engineering College, from 2015-12-23 to 2023-04-12.
PG
UG
Shekhar Nakka, Karthikeyan Elumalai. "DEAE-INR: Dual Encoder-Based Autoencoders with Implicit Neural Representations for Seismic Random Noise Attenuation," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, April 2026, IF:6.3, Q1-SCIE, Vol:19, DOI:10.1109/JSTARS.2026.3683423.
Shekhar Nakka, Karthikeyan Elumalai. "Quantum-Accelerated Dictionary Learning Based on HHL and QSVT for Seismic Data Denoising" IEEE Access, March 2026, IF:4.2, Q1-SCIE, Vol:14, DOI: 10.1109/ACCESS.2026.3672906.
Shekhar Nakka, Dokku Tejaswi, Sunil Chinnadurai, and Karthikeyan Elumalai. "Double Dictionary Learning for Seismic Random and Erratic Noise Attenuation." IEEE Geoscience and Remote Sensing Letters, June 2025, IF:4.8, Q1-SCIE, Vol: 22, DOI: 10.1109/LGRS.2025.3580580.
Shekhar Nakka, Sunil Chinnadurai, and Karthikeyan Elumalai. "Seismic Denoising Based on Convolutional Dictionary Learning with ADMM," IEEE Transactions on Geoscience and Remote Sensing, Jan 2026, IF: 9.4, Q1-SCIE, Vol: 64, DOI: 10.1109/TGRS.2025.3646696.
Shekhar Nakka, Dokku Tejaswi, Abin James, Lakshmi Kuruguntla, Vineela Chandra Dodda, Anup Kumar Mandpura, Sunil Chinnadurai, and Karthikeyan Elumalai. "Seismic Denoising Based on Dictionary Learning with Double Regularization for Random and Erratic Noise Attenuation." IEEE Transactions on Geoscience and Remote Sensing, Feb 2025, IF: 9.4, Q1-SCIE, Vol: 63, DOI: 10.1109/TGRS.2025.3540208.
