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Mr. Diluka Wijesinghe

Temporary Lecturer

Contact

  • diluka.wijesinghe@nsbm.ac.lk
  • +94 11 544 5000 (Ext: 1230)
  • Department of Software Engineering
  • Faculty of Computing
  • Google Scholar
  • Linkedin

Profile

Mr. Diluka Wijesinghe is currently serving as a Lecturer (Temporary) in the Department of Software Engineering and Information Systems, Faculty of Computing at NSBM Green University. He holds a BSc (hons) in Computer Science from Plymouth University, graduating with First Class Honours, and was awarded the Gold Medal for Overall Best Performance in the School of Computing as well as the Prize for Best Performance in Computer Science.

He is currently pursuing his MSc in Computer Science with a specialization in Artificial Intelligence at the University of Sri Jayewardenepura, focusing on areas such as generative AI and multi-modal systems, machine learning, deepfake detection, and ethical computing.

In addition to his academic responsibilities, Mr. Wijesinghe also serves as the Master-in-Charge of the Association of Software Engineering, contributing actively to student engagement and extracurricular development.

His primary teaching interests include Object-Oriented Programming, Data Programming, Data Structures and Algorithms, Mobile Application Development, and Software Architecture. He is also actively involved in research activities within the university, aiming to bridge the gap between theory and practical innovation in computer science.

Research Interests

  • Deepfake Detection and Multimedia Forensics
  • Multi-Modal AI and Generative Models (Text, Image, Video)
  • Ethical AI and Explainable Artificial Intelligence (XAI)
  • Blockchain for Digital Evidence Verification and Trust
  • Human-Centered and Emotion-Aware Computing
  • Intelligent Mobile and Ubiquitous Applications
  • AI in Education and Learning Analytics
  • Cognitive Computing and Brain-Inspired AI
  • Automation and Optimization in Machine Learning

Conference (Full Paper) Publications

  1. Wijesinghe, D. (2023) ‘Model ML: An Automated Platform for Precise and Efficient Machine Learning Model Development’, in 5th International Research Conference. Trincomalee Campus, Eastern University, 2023.
  2. Wijesinghe, D. (2024a) ‘Impact of Generative AI on the Use and Reliability of Video Evidence’, in International Conference on Advanced Technologies, 2024.
  3. Wijesinghe, D. (2024b) ‘Leveraging User-Generated Content to Boost Brand Equity and Sales: A Study of Undergraduate Consumers in Sri Lanka’s Food and Beverage Industry’, in International Conference on Business Innovation, 2024.
  4. Wijesinghe, D. (2024c) ‘Unlocking Machine Learning Potential—Simplified Automated Model Development’, in International Conference on Transformative Applied Research, 2024.
  5. Wijesinghe, D. (2025a) ‘Dyno-Prep: An Efficient and Automated Data Preprocessing Pipeline for Enhanced Machine Learning Performance’, in International Conference on Transformative Applied Research, 2025.
  6. Wijesinghe, D. (2025b) ‘Integrating Neural Network with Conventional Machine Learning for Credit Card Fraud Detection’, in International Conference on Transformative Applied Research, 2025.

On-Going Research

  1. Brain-Computer Interfaces (BCI) for Vision Enhancement: Using EEG signals to assist visually impaired individuals.
  2. Adaptive Image Denoising with Self-Supervised Learning: Improving low-light and noisy image quality using AI.