Amutheezan Sivagnanam

PhD Student & Graduate Research Assistant

About Me

Hi, I am Amutheezan Sivagnanam. I am currently in my 3rd year of Ph.D.

I joined in the Resilient Networks and Systems (RNS) Lab as a Ph.D. Student in Fall 2019.

My research works are focused on Artificial Intelligence, Machine Learning and Data Mining.

Work Experience

University of Houston

Graduate Research Assistant

September 2019 - Present

Lab: Resilient Networks and Systems (RNSLab)

Supervisor: Dr. Aron Laszka

Projects and Focus:

Working on research projects focusing on optimizing transit-networks using Artificial Intelligence and Machine Learning.

  • Optimization of para-transit rides ensuring real-world constraints.

  • Energy optimization on bus-transit network operating with mixed-fleet of vehicles.

Working on research projects based on BugBounty in Chromium.

LESG Technology (previously MillenniumIT)

Software Engineer

Jan 2018 - Jul 2019

Working experience with languages such as Java, Python, and C++.

Introduce Unit Testing for Libraries in Post Trade C++ Code.

Worked on Making changes in DB and Tested with BDD based Testing.

Completed the Code Integration works related to Back-End Regression.

Participated in Code Integration and Code Deployment Plans.

Worked on Front-End Development for both Product and Solution which consists of Enhancement, Bug Fixing, Merging and Introducing new features.

WSO2 Lanka (Pvt) Limited

Software Engieering Intern

Jul 2016 - Dec 2016

Alerting critical issues in the medical industry by evaluating the HL7Message.

Analysis of the Message flow through out the organization.

Enhancing the Query capabilities for Message with a highly complex combination of attribute.


University of Houston

Ph.D in Computer and Information Sciences

2019 Fall - Present

Course Works:

  • Machine Learning
  • Artificial Intelligence
  • Advance Numerical Analysis

University of Moratuwa

B.Sc. in Engineering (Computer Science and Engineering)

2014 Jan - 2018 Jan | CGPA 3.81/4.20

Course Works:

  • Data Mining
  • Intelligent Systems
  • Operational Research