0
Jump to main content

Ajay Nagendra Nama

PhD Research Fellow

PhD Research Fellow

 
Office:
A2122 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
9:00 AM to 4:00 PM

I am working as a PhD research fellow at the WISENET Center - University of Agder (UiA), with specialization in Information and Communication Technology (ICT).

 

Research interests

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

Work experience

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.

 

 

Academic interests

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

Projects

DEEPCOBOT

DVB-SH Receiever at Uurmi systems (Now MATHWORKS)

Selected publications

1. 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 

 

2. 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.

3.Ch, Gangadhar, Nama Ajay Nagendra , Syed Mutahar Aaqib, CM Sulaikha, Shaheena Kv, and Karanam Santoshachandra Rao. "COVID-19 image transmission using convolutional neural networks based algorithms for medical applications." World Journal of Engineering ( Emerging Sources Citation Index )  (2021).  Vol. 19 No. 2, pp. 183-188.

 

 

Scientific publications

  • Saad, Leila Ben; Nama, Ajay Nagendra; Beferull-Lozano, Baltasar (2022). Neighborhood Graph Neural Networks under Random Perturbations and Quantization Errors. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC). ISBN: 978-1-6654-9455-7. IEEE conference proceedings. Chapter.

Last changed: 4.07.2022 21:07