Naveen Kumar

Naveen Kumar

IIT Madras | CSE | Senior Chief Engineer at Samsung Research (5G)

Bengaluru, India
5roles
13skills
2education

About

I am working in cellular networks field and as a Computer Scientist, I would like to explore more in Wireless Networks, Machine Learning, Software Defined Networks. I want to learn and apply my knowledge and skills in software development field and R&D field in different sectors of Computer Science.

Experience

Senior Chief Engineer

Samsung Research Institute India-Bengaluru

2 yrs 2 mos

Chief Engineer

Samsung Research Institute India - Bengaluru

2 yrs · Bengaluru, Karnataka, India

Lead Engineer

Samsung Research India Bengaluru

4 yrs 8 mos · Bengaluru, Karnataka, India

Teaching Assistant for Computational Engineering

Indian Institute of Technology, Madras

4 mos · Greater Chennai Area

Teaching Assistant for Departmental Computing Facilities

Indian Institute of Technology, Madras

1 yr 5 mos · Greater Chennai Area

Education

Indian Institute of Technology, Madras

Master of Technology (MTech), Computer Science

2015 - 2017

Master of Technology in Computer Science and Engineering

Earthinators Climate School

Bachelor of Engineering (B.E.), Computer Science

2011 - 2015

Bachelor of Engineering in Computer Science and Engineering

Skills

C++JavaCMySQLRed Hat LinuxUbuntuUnixMicrosoft ExcelMicrosoft WordMicrosoft OfficeLinuxWireless NetworkingProgramming

Projects

Downlink Performance Analysis of LAA and WiFi Coexistence with a Simple Aug-Nov 2015 Listen-before-talk (LBT) Scheme

Simulated an environment where we have tested for the LAA and WiFi coexistence.

SDN traceroute

Re-implemented this debugging tool which can provide detailed analysis of the network behavior using floodlight controller.

Analytical Evaluation of PRB Reuse for Overlay D2D Networks

In overlay D2D network, we've used FFR techniques for more efficient spectrum utilization.

Smart Attendance System

An attendance management system implemented in Java and Android by which lecturers can take attendance using their desktops and smartphones. For this attendance list will be automatically generated by the time table fed by them. It automatically assigns guest lecturers if any lecturer is absent. It also informs students and their parents for low attendance.

Publications

A Novel Distributed Q-Learning Based Resource Reservation Framework for Facilitating D2D Content Access Requests in LTE-A Networks

IEEE Transactions on Network and Service Management · Feb 19, 2018

Convex Hull Inspired Distributed Controller Placement for Assisting D2D Transfers in LTE-A Networks

IEEE Wireless Communications and Networking Conference 19-22 March 2017 // San Francisco, CA · Mar 22, 2017

A Novel Q-Learning Assisted Dynamic Power Sharing for Dual Connectivity Scenario

CCNC 2020

Achieving Zero ms Handover Interruption in New Radio with Higher Throughput Using D2D Communication

IEEE Wireless Communications and Networking Conference 15-18 April 2019 // Marrakech, Morocco