Jerold Kingston Gnanasekaran

Motivated Telecommunication student with great communication and critical thinking abilities. Successful at approaching and solving various problems with practical solutions. Team-oriented and ready to learn.

5G Intelligent System:

Objective: 

• Development of an Intelligent network application (xApps) that are used to analyze and optimize the 4G/5G network using FlexRIC (RAN Intelligent Controller) and OAI RAN.
• Created a customized ORAN based RAN function (KPM V2) for OAI RAN and exposed the Key Performance indication Measurements (KPM) to FlexRIC via an E2 Interface.

Tools, 5G OAI RAN & Core Network, FlexRIC, C Language, SRS_RAN, USRP, Quectel & RF Simulator UE and ORAN specifications.

Energy efficient communication for task oriented networks and intelligent communication systems. 

Objective: 

• Minimize the number of bytes (computational cost) required at the transmitted side in the Distributed source network.
• Developed a function that utilize a marginal distribution of two uncorrelated sources to minimize the transmitted bytes.

Tools: Matlab. Information theory concepts.

Voice control Robotic ARM Using Machine Learning (01/2020).

Objective: 

• Object Detection using the SSD Algorithm and control it via a Robotic ARM procedure call in a hazardous environment.
• The Object Detection enabled the feature of selecting a particular object from the Trained model.

Tools: SSD MLAlgorithm (object detection), Raspberry pi, Robotic ARM and Motor Controller. 

• Core Java and MySQL (Qspider software solutions).
• Google IT Support professional certification (Coursera).
• Deep Learning and Neural Networks (Coursera)
• Robotics and Embedded Systems (KCG college of Technology).
• Vocational training in Communication system (BSNL telecom operator).
• Ethical Hacking (IIT Madras)