Amutheezan Sivagnanam

Lab: Applied Artificial Intelligence Lab (AAILab)

Supervisor: Dr. Aron Laszka

Duties:

• Spearheaded research projects funded by the U.S. Department of Energy (DOE) and the National Science Foundation (NSF).
• Studied real-world decision-making problems and identified gaps in existing solution approaches.
• Developed mathematical models and formulated problems to address these challenges.
• Applied artificial intelligence–based solutions to tackle real-world problems and successfully deployed them in relevant industries.
• Published research findings in top-tier AI conferences (ICML) and assisted preparing slides for presenting results at DOE and NSF meetings.
• Developed a deep reinforcement learning (DRL) method for proactive responder repositioning in emergency management, achieving response times 1000× faster while reducing operational delays.
• Applied DRL to solve online vehicle routing with advance booking, enabling real-time confirmations within seconds.

Research Projects:

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

Lab: Applied Artificial Intelligence Lab (AAILab)

Supervisor: Dr. Aron Laszka

Duties:

• Spearheaded research projects funded by the U.S. Department of Energy (DOE) and the National Science Foundation (NSF).
• Studied real-world decision-making problems and identified gaps in existing solution approaches.
• Developed mathematical models and formulated problem statements to effectively address these challenges.
• Applied AI-based solution approaches to real-world problems and successfully deployed them in relevant industries.
• Published research findings in top-tier AI conferences (AAAI, IJCAI) and assisted preparing slides for presenting results at DOE and NSF meetings.
• ntroduced heuristics that reduced annual energy costs by $140K for public transit agencies operating mixed fleets of buses.
• Implemented a deep reinforcement learning approach that reduced operational costs by 20% by enabling online booking for traditionally offline Vehicle Routing Problems (VRPs).
• Collected and analyzed real-world data using Python to identify trends—such as changes in paratransit operations before and after COVID-19 and the impact of vulnerability reward programs.

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)

Team: Post Trade

Reporting to: Mr. Sujith Gunawardana

Duties:

• Writing application software in the Object-Oriented manner.
• Practicing agile development practices.
• 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.
• Worked on Duplicated Error Codes Identification and Replacement with valid New Error Codes.
• Developed DSO for Front-End End to End Testing.
• Analyzed and Changed Back-End Regression Script to work with both Old and New Testing Framework
• Developed a New Report Generation for Testing Framework, which used to be emailed at the end of regression.
• Completed the Code Integration works related to Back-End Regression
• Updated automatic updates to auto-generated codes based on Database changes using Integration Plans.
• Participated in Code Integration and Code Deployment Plans.
• Participated in professional training programs conducted by Millennium IT Software and Post Trade Team.
• Worked on Front-End Development for both Product and Solution which consists of Enhancement, Bug Fixing, Merging and Introducing new features.

Team: Data Analytics Team

Reporting to: Mr. Anjana Fernando

Duties:

• 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.

Course Works:

• Data Mining

Course Works:

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

Course Works:

• Data Mining
• Intelligent Systems
• Operational Research