Dr. Gayan Kincy Kulatilleke is a distinguished researcher and expert in the field of Artificial Intelligence and Machine Learning. Holding a Ph.D. in AI, M.Sc. degrees in Big Data and Networking, and a B.Sc. in Engineering, he has garnered recognition for his outstanding contributions to the field.
As a leading academic at the University of Queensland, Brisbane, Dr. Kulatilleke serves as a Sessional Academic and Research Assistant, specializing in Computer Networks and High-Performance Computing. He also plays a pivotal role as an AI/ML Mentor for Summer and Internship Projects, showcasing his dedication to nurturing the next generation of innovators.
🎓 Education
- PhD(AI), MSc(Big Data), MSc(Networking), BSc(Eng.), ACMA(UK), CGMA(USA), AMIE(SL)
🏆 Awards
- Best Paper: Microsoft Award (Cybersecurity, HFES 2020)
- Best Paper: CSIRO Award (AJCAI 2022)
- “Global Knowledge Sharing” Award for Best Technical Publication (Virtusa 2003)
- Runner Up: cmbHack.js 2014 (48-hour JavaScript Hackathon)
- Multiple Australian Scholarships: UQ RTP, ARC LP for PhD
Professional Profiles:
Publication Top Noted
- XG-BoT: An explainable deep graph neural network for botnet detection and forensics
- HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions
- Efficient block contrastive learning via parameter-free meta-node approximation
- Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
- DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
Research Focus
Dr. Gayan Kincy Kulatilleke’s research encompasses a broad spectrum within the realms of Artificial Intelligence (AI) and Machine Learning (ML). While specific details of his research focus might require more recent information, the provided details indicate several areas of interest and expertise:
- Botnet Detection and Forensics
- Human Factors Engineering (HFE) and Cybercrime
- Contrastive Learning for Efficient Block Analysis
- Self-Supervised Learning for Money Laundering Detection
- Hybrid Deep Learning for Network Anomaly Detection
💼 Work Experience
University of Queensland, Brisbane
- Sessional Academic & Research Assistant (01/2019 – Present)
- Lead Tutor: Computer Networks, High-Performance Computing
- AI/ML Mentor for Summer and Internship Projects
- Presenter: High-Performance Compute GPU Clusters, ML Pipelines
Freelance AI ML and Software Consultant/Developer, Remote (01/2006 – Present)
- Advanced skills in C++, OS, Automation, Integration, DevOps, Cloud Management, Google Technologies, Data Engineering, Software Development, AI/ML.
Mailot – Founder CTO, Brisbane (01/2023 – 06/2023)
- GPT-3 Productivity SaaS Startup
- NLP and Human Inputs for Augmented Responses
- Integration of OpenAI, Langchain, Vector Databases with Node.js on Vercel
AMZ Consulting Pty Ltd, Sydney – Consultant/Trainer (05/2023 – Present)
- PowerBI, Modelling, DAX, Integrations
TeleMARS, Brisbane – Lead AI ML Engineer and Researcher (04/2023 – Present)
- AI Architecture Design, AI Analytics Solution Design
- Development and Solution Delivery Management
Space Platform, Brisbane – Head ML (06/2019 – 06/2020)
- Privacy Preserving Query and Intent Identification Algorithms
- Research on IOS and Android’s Randomized MAC Addresses
- Data Engineering, ETL Operations, ML Model Design and Implementation
Capital Staffing, London – Software Developer (10/2017 – 07/2018)
- C#, .NET MSSQL Server, DevOps, Cloud Services
Central Bank of Sri Lanka – Senior Assistant Director (05/2005 – 10/2022)
- AI ML Big Data Initiatives
- Data Science and Analysis Teams Coaching
- Implementation of Strategic IT Needs
- Surveillance, Authentication, Access Control Systems Oversight
Virtusa Corporation, Colombo – Software Engineer (R&D) (05/2004 – 08/2004)
- Managed R&D Portal, Global Technology Center Consultation
- “Global Knowledge Sharing” Award for Best Technical Whitepaper
MillenniumIT (London Stock Exchange Group) – Application Engineer (08/2003 – 05/2004)
- Global Support, Technical Advice to Capital Market Clients
- Performance Benchmarking, Real-time Multithreaded C/C++ Code Development
🎓 Educational/Professional Qualifications
- PhD Candidate, Tutor, Research Assistant, University of Queensland (2019 – 2023)
- MSc Big Data Science, Queen Mary, University of London (2017 – 2018)
- MSc Computer Science, Networking, University of Moratuwa, Sri Lanka (2004 – 2006)
- BSc Computer Science & Engineering, University of Moratuwa, Sri Lanka (1999 – 2003)
🏆 Special Achievements/Publications
- Google Research Profile: Link
- “Microsoft Best Paper Award: Cybersecurity Technical Group” (2020)
- “Global Knowledge Sharing” Award for Best Technical Publication (Virtusa 2003)
🤝 Positions of Responsibility
- International Reviewer – Multiple AI ML Journals (2022 – Onwards)
- Operational Committee Member – WiT Cyber Review Committee, Queensland (2023 – 2024)
- Coordinator – Chess & Drafts Games, Central Bank Recreation Club (2010 – 2017)
- Chief Examiner – Institute of Bankers, Sri Lanka (2009 – 2017)
- Volunteer Work with ADB to Create Computer-Aided Educational Software for Schools (2004)
📚 Lateral Courses Completed
- Macro Econometric Forecasting, IMF, Institute for Capacity Development, 2016
- Financial Programming and Policies, Part 2: Program Design, IMF, 2012
🏆 Skills
- Data, AI, Machine Learning Engineering
- Software Development (Python, C++, C#)
- AI ML (GPTx, Langchain Models, TensorFlow)
- DevOps and Cloud Management (Azure, AWS)
- Google Technologies (Data Studio, Firebase, Cloud Firestore)
- Data Engineering (PowerBi, Tableau, DAX, Python-based Web Scraping)
🎉 Awards and Recognitions
- Best Paper Awards (Microsoft, CSIRO)
- Global Knowledge Sharing Award (Virtusa)
- Australian Scholarships (UQ RTP, ARC LP)