Dr Bernardi Pranggono

Job: Associate Professor in Cyber Security

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: 0116 250 6057

E: bernardi.pranggono@dmu.ac.uk

 

Personal profile

Dr Bernardi Pranggono is an Associate Professor in Cyber Security in the School of Computer Science and Informatics at De Montfort University (DMU), with expertise in computer networks and cybersecurity. He has more than 20 years of experience across academia and industry. He is a Fellow of the Higher Education Academy (HEA), a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a SPRITE+ Fellow. He is also the current Chair of the Industrial IoT Networks Special Interest Group of the IEEE Internet of Things, Ad Hoc and Sensor Networks (IoT-AHSN) Technical Committee.

His research centres on securing critical infrastructure. This covers operational technology (OT) and Industrial Internet of Things (IIoT) security, federated learning for privacy-preserving intrusion and anomaly detection, and digital twin resilience. This work sits within his broader interests in cybersecurity, the Internet of Things, applied AI, and green ICT.

He has led and contributed to projects funded by EPSRC (SPRITE+, INSTANT, HIPNet, INTERNET, and CSIT), Innovate UK, the British Council, and the EU’s FP7 programme (PRECYSE).
Before joining DMU, he held academic and research posts at Anglia Ruskin University, Sheffield Hallam University, Glasgow Caledonian University, Queen’s University Belfast and the University of Leeds, where he completed his PhD. In industry, he worked at Oracle, PricewaterhouseCoopers, Accenture, and Telstra.

Bernardi has co-authored more than 50 papers in leading international journals and conferences, as well as four book chapters. He is an Associate Editor of Frontiers of Computer Science and Frontiers in Communications and Networks. He has served as a chair and technical programme committee member for IEEE ICC, IEEE GLOBECOM, IEEE INDIN, IEEE ICPS, and IEEE HPCC. He also reviews for journals including IEEE Access, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, and Computers & Security.

Research group affiliations

Cyber Technology Innovations

Publications and outputs

Full list of publications in Google Scholar (https://scholar.google.com/citations?user=lrXen2AAAAAJ)

Selected publications:

  • J. Kipruto, B. Pranggono, and R. Shukla, "Scalable Hybrid Online Machine Learning for Real-Time Intrusion Detection in Electric Vehicle Charging Systems," IEEE Access, 2026.
  • A.D. Tunjungbiru, B. Pranggono, R.F. Sari, E. Sanchez-Velazquez, P.D. Purnamasari, D.Y. Liliana, and N.A.C. Andryani, "AI Literacy and Gender Bias: Comparative Perspectives from the UK and Indonesia," Education Sciences, 2025.
  • A. Daulay, K. Ramli, R. Harwahyu, T. Hidayat, and B. Pranggono, "Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks," Mathematics, 2025.
  • A.R. Hakim, K. Ramli, M. Salman, B. Pranggono, and E.R. Agustina, "ARKAIV: Predicting Data Exfiltration using Supervised Machine Learning based on Tactics Mapping from Threat Reports and Event Logs," IEEE Access, 2025.
  • O. Adelaja and B. Pranggono, "Leveraging Deep Learning for Real-Time Coffee Leaf Identification, AgriEngineering, 2025.
  • B. Olanrewaju-George and B. Pranggono, "Federated Learning-based Intrusion Detection System for Internet of Things using Unsupervised and Supervised Deep Learning Models," Cyber Security and Applications, 2025.
  • T. Awosika, R. Shukla, and B. Pranggono, "Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection," IEEE Access, 2024.
  • S. Windarta, S. Suryadi, K. Ramli, A.A. Lestari, W. Wildan, B. Pranggono, and R.W. Wardhani, "Two New Lightweight Cryptographic Hash Functions based on Saturnin and Beetle for the Internet of Things," IEEE Access, 2023.
  • N. Hayati, S. Windarta, M. Suryanegara, B. Pranggono, and K. Ramli, "A Novel Session Key Update Scheme for LoRaWAN," IEEE Access, 2022.
  • E. Dizon and B. Pranggono, “Smart Streetlights in Smart City: A Case Study of Sheffield,” Journal of Ambient Intelligence and Humanized Computing, Springer, vol.13(4), pp.2045–2060, 2022.
  • D. Alboaneen, H. Tianfield, Y. Zhang, and B. Pranggono, "A Metaheuristic Method for Joint Task Scheduling and Virtual Machine Placement in Cloud Data Centers," Future Generation Computer Systems, Elsevier, vol.115, pp.201-212, 2021.
  • Y. Yang, K. McLaughlin, S. Sezer, T. Littler, E. G. Im, B. Pranggono, and H. F. Wang, "Multiattribute SCADA-Specific Intrusion Detection System for Power Networks," IEEE Transactions on Power Delivery, vol.29, pp.1092-1102, 2014.
  • H-H. Chou, B. Pranggono, T.D. Wilkinson, F. Zhang, W.A. Crossland and J.M.H. Elmirghani, "Free-Space Optoelectronic Switching Cores with MPLS for SANs over WDM Ring Networks," IEEE/OSA Journal of Optical Communications and Networking, vol.4(7), pp.533-545, 2012. 

Research interests/expertise

Cyber Security, Intrusion Detection Systems, Applied AI, Internet of Things, Edge Computing, Green ICT

Areas of teaching

Cyber Security, Computer Networks, Internet of Things

Qualifications

Ph.D. Electronics and Electrical Engineering, University of Leeds, UK
M.DigComms. Digital Communications, Monash University, Australia
B.Eng. Electronics and Telecommunications Engineering (Information Science), Waseda University, Japan

Courses taught

BSc Cyber Security, BSc Computer Science, MSc Cyber Security, MSc Computer Science, MSc Artificial Intelligence

Membership of external committees

  • TPC member of the IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2026).
  • Co-Chair for the ICIT 2026 Track 9 (T9: Artificial Intelligence and Industrial Informatics), IEEE International Conference on Industrial Technology (ICIT 2026).
  • TPC member of the International Conference on Advanced Information Networking and Applications (AINA 2025, 2026)
  • TPC member of the 16th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2025)
  • Co-Chair for the INDIN 2025 Track 12 (TT12: Industrial Informatics Tools), the 23rd IEEE International Conference on Industrial Informatics (INDIN 2025)
  • TPC member of the IEEE GLOBECOM Green Communications Systems and Networks Symposium (GLOBECOM 2016-2024)
  • TPC member of the IEEE International Conference on Industrial Informatics (INDIN 2022).
  • TPC member of the 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022)

Membership of professional associations and societies

  • Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE)
  • Fellow of Higher Education Academy (FHEA)