Lecturer · Researcher · Data Scientist
PhD Computer Science · Melbourne, Australia
Lecturer and Researcher with a PhD in Theoretical Computer Science from the University of Malaya. My work spans computational intelligence, cloud computing, and data-driven analytics — bridging academic research and industry practice across Australia and Southeast Asia.
10+
Years Teaching
7+
Publications
h-5
H-Index
40+
Students Supervised
01 /
Hadi Naghavipour is a Lecturer and Researcher with a PhD in Computer Science and extensive experience across academia and industry. He holds a Bachelor of Telecommunication Engineering, a Master of Software Engineering (Merit) from the United Kingdom, and a PhD in Theoretical Computer Science from the University of Malaya (QS World University Ranking: 58).
His teaching experience spans more than a decade across multiple Australian universities — Charles Sturt University, RMIT, Melbourne Institute of Technology, and Victoria Institute of Technology — as well as Unitar International University in Malaysia, the first virtual university in Southeast Asia, where he was promoted to Senior Lecturer within his first year.
His research in computational intelligence and granular computing is applied to digital assets, cloud service composition, and data-driven marketing analytics. He founded the Digital Nomad Council (DNC) — an initiative researching the commercialisation, governance, and workforce implications of digital assets. He serves on the editorial board of the Asia Journal of Social Science and reviews for IEEE and Frontiers journals.
Education
PhD Computer Science – Cloud Computing
University of Malaya (QS Rank 58)
Thesis: Hybrid Meta-heuristics for QoS-aware Service Composition
Master of Software Engineering (Merit)
Staffordshire University, UK
Thesis: Online Collaborative Project Management for SMEs
Bachelor of Engineering in Telecommunications
IUSR
Final Year Project: Telecommunication Technologies for e-commerce businesses
Research Interests
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My PhD research developed novel hybrid computational intelligence techniques — combining meta-heuristics with rough sets and fuzzy systems — to solve the NP-hard problem of quality-of-service-aware service composition in cloud environments. This produced a systematic mapping study in IEEE Access (27 citations), a rough-set hybrid, and a fuzzified variant presented at DaSET 2023.
Applied research through the Digital Nomad Council (dncouncil.org) investigates commercialisation, governance, and workforce implications of digital assets and blockchain. A Microsoft-funded grant supports development of an ICT policy framework for mitigating AI disruption risk. This work bridges computational theory with real-world regulatory and economic outcomes.
Collaborative research applying ML to clinical and language tasks: early prediction of liver disease using ensemble classifiers (Springer, DaSET 2023), melanoma detection via three comparative ML techniques (JITM, 2023), and sentiment analysis using large language models including GPT-3.5 (Springer, DaSET 2023 — 13 citations).
Industry Research Partnerships
Microsoft
Principal Investigator
2023 – Current
ICT Platform for Mitigating Emerging Technology Disruption (AI Risk Policy)
Accenture
Curriculum Design Lead
2024 – Current
Data Driven Digital Transformation — Generative AI Awareness & Decision-Making
Amazon AWS
AWS Certified Educator
2024 – Current
Industry & Corporate AWS Accreditation Training, Asia Pacific
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Farhad Nadi, Hadi Naghavipour, Tahir Mehmood, et al.
DaSET. Springer Nature Singapore, pp. 161–168 · 2023
Hadi Naghavipour, GholamReza Zandi, and Abdulaziz Al-Nahari
Journal of Information Technology Management, 15(2): 59–72 · 2023
Hadi Naghavipour, Farhad Nadi, and Ali Aitizaz
DaSET. Springer Nature Singapore, pp. 105–119 · 2023
Sushmitha Geddam, Sulaf Assi, Hadi Naghavipour, et al.
DaSET. Springer Nature Singapore, pp. 521–530 · 2023
Hadi Naghavipour, Mohd Yamani Idna Bin Idris, Tey Kok Soon, et al.
IEEE Access, 10: 112609–112628 · 2022
Hadi Naghavipour, Tey Kok Soon, Mohd Yamani Idna Bin Idris, et al.
IEEE Access, 10: 12678–12701 · 2021
Hadi Naghavipour, Ali M. Ashkanani, Ali Sobhy M. Roza
IOSR-JEEE, 10(2): 62–67 · 2015
04 /
Charles Sturt University
July 2026 – Current
Seasonal Academic
Teaching Methods
Project-Based Learning
Problem-Based Learning
Bootcamp
E-Learning
Hybrid (Online & Offline)
Computing
RMIT University
July 2024 – 2026
Seasonal Academic
Teaching Methods
Project-Based Learning
Problem-Based Learning
Bootcamp
E-Learning
Hybrid (Online & Offline)
Computing & Analytics
Melbourne Institute of Technology
Feb 2024 – 2026
Seasonal Academic · Melbourne CBD Campus
Teaching Methods
Project-Based Learning
Problem-Based Learning
Bootcamp
E-Learning
Hybrid (Online & Offline)
MBA & Postgraduate
Victoria Institute of Technology
Feb 2024 – Current
Seasonal Academic · Geelong & Melbourne
Teaching Methods
Project-Based Learning
Problem-Based Learning
Bootcamp
E-Learning
Hybrid (Online & Offline)
Master of IT & MBA
Bachelor of IT
Unitar International University
2022 – 2024
Senior Lecturer · Curriculum Developer · School of IT
Teaching Methods
Project-Based Learning
Problem-Based Learning
Bootcamp
E-Learning
Hybrid (Online & Offline)
Master of IT
Bachelor of IT
"I firmly believe that academic institutions should establish their relevance in the industry. An industry-informed curriculum and real-world problem-based research form my philosophy of higher education."
— Hadi Naghavipour