Prof. Harinda Fernando

Professor | Department of Computer Systems Engineering | Faculty of Computing

CAREER SUMMARY

  • Overview
    • Senior academic with 18 years of experience in tertiary education across Australia and Sri Lanka. My expertise spans Cyber Security, Networking, and Machine Learning, encompassing technical, research, and teaching domains. Over the past 13 years, I have supervised more than 200 undergraduate and 30 postgraduate dissertations, demonstrating my strong commitment to academic mentorship.

      I have a proven track record in curriculum development, revision, and localization, ensuring that programs meet diverse educational needs and standards. Additionally, I have successfully negotiated and developed transnational academic partnerships, fostering collaboration and exchange between institutions. My experience extends to leadership, management, and administration within higher education, where I have effectively led teams, managed projects, and contributed to the overall strategic vision of academic institutions.

  • Experience
    • SLIIT Uni - Sri Lanka
      • 2024 - Current - Cluster Lead - Information Assurance and Security Research Cluster
      • 2023 - Current - Assistant Professor
      • 2023 - Current - Program Coordinator (MSc - Cybersecurity) | Faculty of Computing
      • 2022 - 2023 - Senior Lecturer (HG) | Faculty of Computing
      • 2022 - 2023 - Program Coordinator (MSc - IS) | Faculty of Computing
      • 2022 - 2023 - Coordinator (CDAP) | Faculty of Computing
    • APIIT - Sri Lanka
      • 2021 - 2022 - Head | Cybersecurity and Cloud Computing Research Lab 
      • 2014 - 2022 - Senior Lecturer | School of Computing
      • 2017 - 2022 - Final Year Project Coordinator | School of Computing
      • 2016 - 2019 - Head | School of Computing
      • 2014 - 2016 - Award Coordinator | School of Computing
    • Deakin University - Australia
      • 2013 - 2013 - Research Assistant
      • 2008 - 2013 - Sessional Lecturer

ACADEMIC QUALIFICATIONS

  • PhD In Computing (2008 - 2012) - Deakin University, Australia
    • Research Domains - Cybersecurity, Networking and IOT
  • BBIT (Hons)  (2004 - 2007) - Deakin University, Australia

HONOURS AND AWARDS

  • Judge of "National Best Quality Software Awards" (NBQSA) for years 2019, 2020, 2021 and 2023
  • Recipient of "Australian Government Research Training Program (AGRTP)" scholarship for PhD
  • Inducted into the Golden Key Honor Society
  • Placed on Deans List for Undergraduate Degree
  • Awarded AINTEC 2024 Travel grant - 2000 USD
  • Awarded SLIIT research grants for the years:
    • 2002 - Principal Investigator - 400,000 LKR
    • 2003 - Co-Investigator - 400,000 LKR
    • 2004 - Principle Investigator - 500,000 LKR

RESEARCH INTERESTS AND MEMBERSHIP

Research Interests

  • Machine Learning/Deep Learning (ML/DL)
  • Cyber Security (CS)
  • Internet of Things (IoT)
  • Networking and Network Security
  • Cloud Computing 

Memberships

  • Fellow of the Higher Education Academy (FHEA)
  • Senior Member of Institute of Institute of Electrical and Electronics Engineers (SMIEEE)
  • Member of Institution of Engineering and Technology (MIET)
  • Member of the Australian Computer Society (MACS)
  • Committee Member - IEEE ComSoc Society - Sri Lanka Chapter (2024)

RESEARCH CLUSTERS

Information Assurance & Security (IAS)

A hub for cutting-edge cybersecurity research, addressing threats in blockchain, data privacy, and network security through interdisciplinary collaboration and innovative governance frameworks.

Centre of Excellence for AI (CEAI)

A multidisciplinary initiative advancing AI research in machine learning, NLP, and big data analytics to solve complex global challenges and drive intelligent decision-making.

 

ONGOING RESEARCH

Personal Research 

  • Deep Learning Based Prediction of the Properties of Nanoparticles for Use in Healthcare
  • Deep Learning for Network Attack Detection on Resource Constrainted Edge Devices
  • A Framework for Improving Youth Social Media Users’ Cyber-Risk Profile
  • Use of autonomous drones to detect physical faults in high voltage insulators
  • A framework for securing teaching LLMs against prompt injection attacks

MPhil Supervision 

  • A novel DNA-based quantum-safe encryption algorithm for IoT devices - Deemantha Siriwardena
  • Securing Autonomous Vehicle Communications and Privacy: Novel Approaches to V2V Trust - Niranjan Meegammana
  • Enhancing the Accuracy and Security of Federated Learning Systems - Kaushalya Rajapakse
  • Acoustic-Based Fault Detection and Diagnosis in Automotive Engines - Nelum Amarasena
  • Enhancing Mobile Forensic Analysis of Social Networking Applications on Android Smartphones through Intelligent Data Analytics and Cognitive Computing - Ayesha Wijesooriya

PUBLICATIONS

  • 2
  • 2

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