Amutheezan Sivagnanam

PhD Student & Graduate Research Assistant

About Me

Hi, I’m Amutheezan Sivagnanam. I’m currently in my fifth year as a Ph.D. student.

In Fall 2019, I joined the Resilient Networks and Systems (RNS) Lab as a Ph.D. student.

My research interests are in the fields of Artificial Intelligence, Machine Learning, and Data Mining.

Work Experience

Pennsylvania State University

Graduate Research Assistant

August 2022 - Present

https://www.psu.edu/

Lab: Applied Artificial Intelligence Lab (AAILab)

Supervisor: Dr. Aron Laszka

Research Projects:

  • Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing (Accepted in ICML-24)

University of Houston

Graduate Research Assistant

September 2019 - August 2022

https://www.uh.edu/

Lab: Resilient Networks and Systems Lab (RNSLab)

Supervisor: Dr. Aron Laszka

Research Projects:

  • Minimizing Energy Usage in Transit Agencies Operating with Mixed-Fleet of Vehicles (Published in AAAI-21)

  • Offline Vehicle Routing with Online Bookings (Published in IJCAI-22)

  • The Benefits of Vulnerability Discovery and Bug Bounty Programs (Presented in WEIS-21, Published in WWW-23)

LESG Technology (previously MillenniumIT)

Software Engineer

Jan 2018 - Jul 2019

https://www.lseg.com/markets-products-and-services/technology/lseg-technology
  • 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

https://wso2.com/about/
  • 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.

Education

Pennsylvania State University

Ph.D. in Informatics

2022 Fall | CGPA 4.00/4.00

Course Works:

  • Data Mining

University of Houston

M.Sc. in Computer and Information Sciences

2019 Fall - 2022 Summer | CGPA 4.00/4.00

Course Works:

  • Machine Learning
  • Artificial Intelligence
  • Advance Numerical Analysis
  • Computer Architecture
  • Operating Systems
  • Cloud Computing

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