Lab: Reasoning and Data Analytics for Security (ReDAS)

Supervisor: Dr. Rakesh Verma

Duties:

• Led U.S. Department of Defense (DoD)-funded research on software vulnerability detection datasets, building data quality analysis pipelines and dataset cleaning and stress-testing frameworks to detect and mitigate duplication, noise, and adversarial perturbations
• Designed and implemented ML and LLM-based pipelines for figurative-language-aware deception detection, performing data curation, evaluation, and robustness analysis to identify failure modes
• Built a multi-agent, RAG-based system for automated repair of LLM-generated vulnerable code, coordinating specialized repairer and verifier agents to improve fix quality and reliability
• Analyzed state-of-the-art label-error detection methods and identified research gaps under structured noise conditions, leading to a systematic stress-testing framework across multiple real-world datasets
• Proposed and evaluated novel data curation and dataset-cleaning methodologies robust to duplication and label inconsistency
• Published research findings to AI/ML conferences and venues (ACM AI Summit) and prepared materials for lab and funding-agency progress meetings

Lab: Applied Artificial Intelligence Lab (AAILab)

Supervisor: Dr. Aron Laszka

Duties:

• Led 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
• Introduced 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

Lab: Resilient Networks and Systems Lab (RNSLab)

Supervisor: Dr. Aron Laszka

Duties:

• Spearheaded research projects funded by DOE and NSF, leading to advancements in energy-efficient technologies
• Focused 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
• Proposed 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 in preparing slides for presenting results at DOE and NSF meetings

Course: Introduction to Automata and Computability (COSC 3340)

Duties:

• Delivered 5 guest lectures covering course introduction, Deterministic Finite Automata (DFA), and the Pumping Lemma to a class of more than 60 students
• Developed and prepared lecture slides for all sessions

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 (Scrum) to improve team collaboration and project delivery speed
• Developed software solutions using Java, Python, and C++, improving system performance and reliability
• Introduced Unit Testing for Libraries in Post Trade C++ Code
• Modified database structures and tested using BDD-based testing, ensuring data integrity and system functionality
• Developed a dynamic scripting object (DSO) for front-end end-to-end testing using Java, enhancing test coverage and efficiency
• Developed a new report generation system for the testing framework, automating email dispatch at the end of regression
• 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 the Post Trade Team
• Worked on Front-End Development for both Product and Solution — Enhancement, Bug Fixing, Merging and Introducing new features

Team: Data Analytics Team

Reporting to: Mr. Anjana Fernando

Duties:

• 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 charts, maps, and tables
• Created Spark scripts for batch analytics and Siddhi execution plans for real-time alerts
• 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