Amr van den Adel

Doctor of Philosophy , Dr

Accepting PhD Students

PhD projects

Information Systems; Information Security; Digital Forensics; Smart Cities; Data Science; Industry 5.0; Fog Computing; IT Management

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Personal profile

Research Profile

Dr. Amr Adel, currently based in Auckland, New Zealand, is a well-respected academic specializing in Information Technology, with a focus on cybersecurity and digital forensics. He is currently a Senior Lecturer in Computing at the Eastern Institute of Technology and Zhejiang Yuexiu University, and also serves as a Learning Facilitator and Researcher at Torrens University Australia. Dr. Adel's extensive background includes roles as a Research Fellow at the Auckland University of Technology, a Lecturer at Whitecliffe College, and a System Administrator at Mastercard. He completed his PhD in Cyber/Computer Forensics and Counterterrorism at Auckland University of Technology, and holds an MSc in Telecommunications Engineering from the University of Sunderland, and a BASc in Computer Science from the University of the District of Columbia. His research interests include host-based forensics, malware analysis, vulnerability assessments, and penetration testing. Among his top skills are Network Administration, Risk Management, and Analysis. His contributions to academia have earned him recognition, including the Best Poster Presentation Award, and he also holds several certifications such as Leaders of Learning, Associate Member at IT Professionals New Zealand, Web Application Penetration Testing, the New Zealand Certificate in Adult and Tertiary Teaching (Level 5), and Privacy 101: Introduction to the Privacy Act.


Adel, A. (2022). Survey on Industry 5.0: Potential Opportunities, Adoption Challenges and Future Research Directions. Journal of Cloud Computing. Springer.

Adel, A. (2022). A Conceptual Framework to Improve Cyber Forensic Administration in Industry 5.0: Qualitative Study Approach. Forensic Sciences, 2(1), 111-129.

Dales, J., Mirza, F. & Adel, A. (2021). Sentiment Analysis on USA vs. New Zealand on Health and Safety Mandates During Early Stages of COVID-19 Pandemic. 18th International Conference on Wearable, Micro & Nano Technologies for Personalised Health (pHealth 2021), 8-10 November 2021, Genoa, Italy.

Adel, A. & Dayan, J. (2021). Towards an Intelligent Blended System of Learning Activities Model for New Zealand Institutions: An Investigative Approach. Humanities & Social Sciences Communications. Springer Nature.

Adel, A. (2020). Utilizing Technologies of Fog Computing in Educational IoT Systems: Privacy, Security & Agility. Journal of Big data. Springer.

Adel, A. (2020). IoT Learning Model for Smart Universities: Architecture, Challenges, and Applications. In proceeding of the 2nd International Conference on Internet of Things (CIoT 2020), September 26 - 27, 2020, Copenhagen, Denmark.

Adel, A. (2020). Integrative Framework for Blockchain Implementation: Uniting Organizational, Business and Engineering Factors. In proceedings of the International Conference on Blockchain and Internet of Things (BIoT 2020). London, UK.

Adel, A., & Cusack, B. (2020). Role of Multimedia Information Retrieval in Providing a Credible Evidence for Digital Forensic Investigations: Open Source Intelligence Investigation Analysis. In proceedings of the 10th International Conference on Computer Science, Engineering and Applications (CCSEA 2020), July 25 - 26, 2020. London, UK.

Cusack, B., & Adel, A. (2018). Digital forensics investigative framework for control rooms in critical infrastructure. In proceedings of Proceedings of the 16th Australian Digital Forensics Conference (pp. 17- 23). Perth, Australia: Edith Cowan University.

Cusack, B., & Adel, A. (2017). Penetration Testing Against Cyber-attacks in Critical Infrastructures. Proceedings of the 2017 Cyber Forensic & Security International Conference, August 21- 23, 2017,       Nuku'alofa, Kingdom of Tonga, pp. 145-154.

Adel, A., Elfakharany, E., & Badr, A. (2014). Clustering tweets using cellular genetic algorithm.

Research interests

  1. Industry 5.0 and Industrial Cybersecurity: Amr Adel has authored papers on Industry 5.0, particularly focusing on its potential opportunities, adoption challenges, and future research directions. Furthermore, he's also worked on improving cyber forensic administration in this context, highlighting an interest in industrial cybersecurity.

  2. Data Analysis, Sentiment Analysis and Social Media: With work on sentiment analysis during the COVID-19 pandemic, he seems to be interested in data analysis, particularly in a sociopolitical context. The use of social media data (tweets) for clustering via cellular genetic algorithm also suggests an interest in social media data mining and analysis.

  3. E-Learning and Educational Technologies: His research on the implementation of fog computing in educational IoT systems and an IoT learning model for smart universities demonstrates an interest in the intersection of technology and education. He is also interested in developing intelligent blended learning models for institutions.

  4. Blockchain and Internet of Things (IoT): Papers on the integrative framework for blockchain implementation and IoT learning model for smart universities show his interest in exploring and developing new applications for blockchain technology and IoT, especially in the context of education and business.

  5. Digital Forensics and Cybersecurity: With multiple papers on topics related to digital forensics (such as multimedia information retrieval for digital forensic investigations and a digital forensics investigative framework for control rooms in critical infrastructure) as well as penetration testing against cyber-attacks in critical infrastructures, he clearly has a strong interest in cybersecurity and digital forensics.

  6. Critical Infrastructure Security: With work on digital forensics for control rooms in critical infrastructure and penetration testing against cyber-attacks in critical infrastructures, Adel has shown a distinct interest in the security of critical infrastructure.

  7. Machine Learning and Genetic Algorithm: The paper on clustering tweets using a cellular genetic algorithm demonstrates an interest in machine learning and genetic algorithms, specifically their application in processing and analyzing social media data.


Eastern Institute of Technology
Senior Lecturer
April 2023 - Present (3 months)
Auckland, New Zealand

Zhejiang Yuexiu University (ZYU)
Senior Lecturer
April 2023 - Present (3 months)
Zhejiang, China

Torrens University Australia
Information Technology Lecturer
May 2022 - Present 
Auckland, New Zealand

Yoobee Colleges
Academic Staff Member - IT
August 2021 - April 2023 (1 year 9 months)
Auckland, New Zealand

Auckland University of Technology
Research Fellow
October 2021 - May 2022 (8 months)
Auckland, New Zealand

Whitecliffe College - Arts | Design | Fashion | Technology
ICT Lecturer
November 2018 - August 2021 (2 years 10 months)
Auckland, New Zealand

Auckland University of Technology
Computer Science Teaching Assistant / Lecturer
February 2017 - November 2018 (1 year 10 months)
Auckland, New Zealand

University of Sunderland
Research Assistant
October 2014 - February 2016 (1 year 5 months)
Sunderland, England, United Kingdom

System Administrator
July 2012 - September 2014 (2 years 3 months)


Education/Academic qualification

Cyber/Computer Forensics and Counterterrorism, PhD, Auckland University of Technology

Award Date: 24 Aug 2020

Telecommunications Engineering, Master, University of Sunderland

Award Date: 15 Feb 2016

Computer Science, Bachelor, University of the District of Columbia

Award Date: 18 May 2011


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