Amutheezan Sivagnanam

Lab: Applied Artificial Intelligence Lab (AAILab)

Supervisor: Dr. Aron Laszka

Duties:

• Lead research projects funded by the U.S. Department of Energy (DOE) and the National Science Foundation (NSF), introducing cost- and energy-efficient solutions to tackle real-world problems
• Analyzed current state-of-the-art solutions and identified research gaps in existing solution approaches, leading to the development of innovative strategies for real-time decision-making
• Introduce novel problem formulations and mathematical models to address these challenges, while ensuring inherent real-world constraints
• Proposed artificial intelligence–based solutions to tackle real-world problems and successfully deployed them in relevant industries
• Published research findings in AI conferences (ICML) and assisted in preparing slides for presenting results at DOE and NSF meetings

Research Projects:

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

Lab: Resilient Networks and Systems Lab (RNSLab)

Supervisor: Dr. Aron Laszka

Duties:

• Spearheaded research projects funded by the U.S. Department of Energy (DOE) and the National Science Foundation (NSF), leading to advancements in energy-efficient technologies
• Focus on understanding real-world decision-making problems and identified gaps in existing solution approaches, leading to the development of novel methodologies for enhanced decision-making
• Propose novel problem formulations and mathematical models and formulated problem statements to effectively address the research limitations in prior research efforts
• Applied artificial intelligence-based solution approaches to real-world problems and successfully deployed them in relevant industries
• Published research findings in AI conferences (AAAI, IJCAI) and assisted preparing slides for presenting results at DOE and NSF meetings

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 Team

Reporting to: Mr. Sujith Gunawardana

Duties:

• Developed application software using Object-Oriented principles, enhancing code maintainability and scalability
• Implemented agile development practices, such as Scrum, to improve team collaboration and project delivery speed
• Developed software solutions using Java, Python, and C++, improving system performance and reliability
• Introduce Unit Testing for Libraries in Post Trade C++ Code
• Modified database structures and tested using BDD-based testing, ensuring data integrity and system functionality
• Identified and replaced duplicated error codes with valid new error codes, improving system reliability
• Developed a dynamic scripting object (DSO) for front-end end-to-end testing using Java, enhancing test coverage and efficiency
• Analyzed and modified back-end regression scripts to work with both old and new testing frameworks, ensuring compatibility and reducing testing time
• Developed a new report generation system for the testing framework, automating email dispatch at the end of regression and improving communication efficiency
• Completed code integration tasks related to back-end regression, streamlining the development process and enhancing system performance
• Updated automatic updates to auto-generated codes based on Database changes using Integration Plans
• Contributed to code integration and deployment plans, ensuring seamless software updates and minimizing downtime
• 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:

• Participated in a 22-week industrial internship at WSO2 Lanka (Pvt) Ltd as a Software Engineering Intern, working primarily with the Data Analytics Server (DAS) team.
• Developed an HL7 Monitoring Solution by integrating WSO2 ESB, DAS, and BAM, enabling real-time and batch processing of healthcare data.
• Developed an alert generation system analyzing descriptive HL7/FHIR data to monitor disease outbreaks, triggering timely email and SMS notifications
• Engineered a mechanism to evaluate hospital functionality by assessing admission and discharge messages, including bed and oxygen cylinder availability
• Implemented interactive dashboards using Jaggery, JavaScript, jQuery, Leaflet.js, and DataTables, featuring gadgets like charts, maps, and tables.
• Created Spark scripts for batch analytics and Siddhi execution plans for real-time alerts, including disease outbreak and patient wait-time notifications.
• Utilized HAPI library and test panel to simulate HL7 v2 messages and validate the monitoring pipeline end-to-end.
• Packaged the entire monitoring solution as a Carbon Application (CApp), bundling event streams, receivers, publishers, and visualization artifacts.
• Attended workshops and gained hands-on experience with Git, MSF4J (Microservices for Java), and WSO2 product architecture for enterprise middleware solutions.

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