Ajay Nagendra Nama

Graph signal Processing,Graph Neural Networks, Transfer Learning, Multi Agent Deep Reinforcement Learning ,and Cross Layer protocols  Applied to heterogeneous Multiple industrial Collaborative robot systems

I worked as an Assistant Professor in the Department of Electronics & Communication Engineering at an AICTE approved, Jawaharlal Nehru Technological University Kakinada affiliated Engineering college India from July 2015 to October 2017

I also worked as an Assistant Professor in the Department of Electronics & Communication Engineering at a NAAC A++, UGC Category 1,MHRD NIRF(2020) 58 rank private deemed university from October 2017 to March 2021.

Optimization, Deep Learning, Graph Neural Network Based Multi-Agent Reinforcement Learning

DEEPCOBOT

DVB-SH Receiever at Uurmi systems (Now MATHWORKS)

1.A. N. Nama, L. Ben Saad, B. Beferull-Lozano, J. Zhou, “Neighborhood Graph Filters based Graph Convolutional Neural Networks for Multi-Agent Deep Reinforcement Learning”, IEEE IECON, 2023.

2. L. Ben Saad, Ajay Nagendra Nama, B. Beferull-Lozano, “Neighborhood Graph Neural Networks under Random Perturbations and Quantization Errors”, IEEE International Conference on Signal Processing Advances in Wireless Communications(SPAWC) Oulu, Finland, July4-6 2022 

3. Nama Ajay Nagendra and Pappula, L. (2021), "Evolution of conformal antenna design with the aid of probability improved crow search algorithm",  Data Technologies and Applications (Science Citation Index Expanded ) , Vol.55 No.3, pp 353-371.