Portrait of Dr. Mohammad Kamrul Hasan
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Top 2% Scientist Worldwide · Stanford/Elsevier 2021–2026

Dr. Mohammad Kamrul Hasan

Associate Professor · Center for Cyber Security

Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia (UKM)

Cybersecurity and AI researcher at the intersection of smart grids, federated learning, IoT security, and 5G/6G networks. Head of the Network & Communication Technology Lab at UKM Malaysia. Recognized five consecutive years by Stanford & Elsevier as a Top 2% Scientist worldwide.

0 Q1 & Q2 Publications
0 Years Top 2%
MYR 1M+ Research Funding
0 PhD Students
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About

Research Overview

I am Assoc. Prof. Dr. Mohammad Kamrul Hasan, a cybersecurity and artificial intelligence researcher at the Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM).

Recognized as a Top 2% Scientist Worldwide by Stanford University and Elsevier for five consecutive years (2021–2026), my research focuses on smart grid cyber-physical systems, federated learning, IoT security, and 5G/6G network resilience.

Currently serving as Head of the Network and Communication Technology Lab, I lead interdisciplinary teams tackling real-world cybersecurity challenges in healthcare, energy infrastructure, and industrial networks. My research has been funded by MOHE, MOSTI, British Council UK, and international collaborators from Turkey, China, and Australia.

I actively supervise PhD and MSc candidates and welcome applications from prospective students and collaborators working at the intersection of cybersecurity, AI, and networked systems.

UKM Profile Google Scholar Scopus ResearchGate Web of Science Publons

Education

  • PhD
    PhD in Engineering
    Computer Network & Data Communication
  • MSc
    MSc in Communication Engineering
    Computer Network & Data Communication
  • PGD
    PG Diploma in Cyber Security
  • BSc
    BSc in Computer Science & IT
    Computer Network & Data Communication
Experience

Career Timeline

Two decades of academic, research, and industry experience across Malaysia and beyond.

June 2023 – Present
Associate Professor (DS54)
Center for Cyber Security, FTSM · Universiti Kebangsaan Malaysia (UKM)
Head of Lab — Network & Communication Technology
Nov 2019 – May 2023
Senior Lecturer (DS51)
Center for Cyber Security · Universiti Kebangsaan Malaysia (UKM)
Jul 2017 – Nov 2019
Postdoctoral Research Fellow
Universiti Malaysia Sarawak (UNIMAS) & Sarawak Energy Berhad (SEB)
Dec 2016 – Jun 2017
Postdoctoral Research Fellow
Department of Electrical & Computer Engineering · IIUM
Apr 2004 – May 2009
Manager — Computer & Automation Engineer
Dhaka, Bangladesh · Industry (Full-Time)
What's Happening

Ongoing Activities

Active research projects, grant proposals, and current lab pursuits.

GRIDTRUST — Federated AI for Smart Energy
Active
Developing federated learning + cyber range testing framework for explainable, secure smart energy infrastructure. British Council UK grant under evaluation.
Progress65%
Federated LearningSmart GridUK Collab
TUBITAK-MIGHT — AI Breast Cancer Detection
Active
Turkey–Malaysia bilateral grant powering AI-driven mitosis detection in breast cancer histopathology slides using deep learning. MYR 425K project (2024–2026).
Progress50%
AI HealthcareDeep LearningTurkey
Generative-AI Blockchain IoT for Manufacturing
Submitted
Proposed MYR 1.6M MOSTI Strategic Grant for Gen-AI and cryptographic blockchain-based federated learning IoT system for smart manufacturing environments.
Review Stage30%
Gen-AIBlockchainManufacturing
6G RIS-Assisted Smart Meter Communication
Active
Real-time monitoring of 6G mobile network communication protocols using reconfigurable intelligent surfaces (RIS) and IoT for advanced metering infrastructure.
Progress75%
6GRISIoT
LLM Security & Post-Quantum Auth Protocols
Active
Investigating AI-enabled adversarial-attack-resistant post-quantum authentication protocols for consumer electronics — published IEEE Trans. Consumer Electronics 2026.
Progress90%
Post-QuantumLLMSecurity
PhD Student Supervision — 2025 Cohort
Ongoing
Actively supervising multiple PhD and MSc candidates in cybersecurity, AI/ML for networks, IoT security, and smart grid topics. Open to new co-supervision proposals.
CapacityActive
PhDMScSupervision
Expertise

Research Areas

Advancing security and intelligence across critical infrastructure, wireless networks, and AI systems.

No. 01

Cybersecurity & Smart Grid

Comprehensive cyber-physical security frameworks protecting smart grid infrastructure from advanced persistent threats and zero-day exploits.

Smart GridICS SecuritySCADA
No. 02

AI & Federated Learning

Privacy-preserving distributed machine learning for IoT and industrial networks, combining federated learning with blockchain cryptography.

Federated LearningDeep LearningLLM
No. 03

5G/6G Network Security

Resource allocation, interference mitigation, and handover optimization with security-first architecture for next-generation mobile networks.

5G/6GLTE-ARIS
No. 04

IoMT & Healthcare Security

Secure protocols and lightweight authentication for Internet of Medical Things devices, protecting patient privacy in telehealth systems.

IoMTHealthcarePrivacy
No. 05

Blockchain & Cryptography

AES cryptographic blockchain systems and quantum-resistant post-quantum protocols for securing industrial data and supply chain integrity.

BlockchainPost-QuantumAES
No. 06

IoT & Industrial Networks

End-to-end IoT security frameworks for smart manufacturing, warehouse management, and Industry 4.0 ecosystem integration.

IoTIndustry 4.0AIoT
Recognition

Awards, Patents & Honours

Global recognition in research excellence, intellectual property, and citation impact.

Utility Patent · Germany
Deutsches Patent- und Markenamt (DPMA)
2025
Deep-Federated Advanced Metering System for Optimizing Data Security in Smart Grids
A utility patent granted by the German Patent and Trade Mark Office (DPMA) for a novel deep federated learning architecture enabling privacy-preserving, secure data communication in advanced metering infrastructure within smart grid networks.
Federated Learning Smart Grid Security AMI Systems Data Privacy
2021 – 2026
Top 2% Scientist in the World
Stanford University & Elsevier
2022 – 2026
Top 1% Journal Publications
Web of Science / Clarivate Analytics
2023 – 2025
Highly Cited Author Award
Universiti Kebangsaan Malaysia
2023 – 2025
Research Excellence Award
MyRA (Malaysia Research Assessment), UKM
IEEE 2022
Best Paper Award — AI in Cybersecurity
2nd Int'l Conference on AI in Cybersecurity (ICAIC), Texas, USA
2018
Best Paper Award — InTEX18
UNIMAS Innovation & Technology Exposition, Kuching
2016
Young Scientist Award
ICGCET'16, Aalborg University, Denmark
2013 – 2016
PhD International Scholarship (MIS)
Ministry of Higher Education, Malaysia
Impact

Selected Publications

High-impact publications in Q1 journals — IEEE, Nature, Elsevier, ACM, and Springer.

01
A Dual-Branch Graph Neural Network Architecture for Drug-Target Binding Affinity Prediction
Khushnood Abbas, Chen Hao, Mohammad Kamrul Hasan et al. · Scientific Reports · 2026
Q1IF: 4.8Nature Pub.
02
AI-Enabled Adversarial Attacks Resistant Post-Quantum Secure Authentication Protocol for Consumer Applications
Prithwi Bera, Sayan Rakshit, Ashok Kumar Das, Mohammad Kamrul Hasan et al. · IEEE Transactions on Consumer Electronics · 2026
Q1IF: 10.2IEEE
03
Smart Grid Cyber-Physical Systems: Components, Vulnerabilities, Mitigations, Opportunities, and Conceptual Framework
Mohammad Kamrul Hasan et al. · Energy Reports · Elsevier · 2026
Q1IF: 4.8
04
Life Cycle of Lithium-ion Battery Recycling: Carbon Capture, Utilization, and Storage — A Review
Nabeel Al-Qirim, Mohammad Kamrul Hasan et al. · Energy Strategy Reviews · Elsevier · 2026
Q1IF: 9.9
05
Autonomous Vehicles with Augmented Reality, Internet of Things, and Edge Intelligence
Amjed Abbas Ahmed, Aqeel Kamil Kadhim, Mohammad Kamrul Hasan et al. · PLOS ONE · 2025
Q1PLOS
06
A Real-Time Monitoring of Communication Protocols in 6G Mobile Network using Intelligent Surface and IoT
S.N. AL-Jaradi, Mohammad Kamrul Hasan et al. · IEEE Transactions on Consumer Electronics · 2025
Q1IF: 10.9IEEE
07
Data Space Privacy Model with Federated Learning Technique for Securing IoT Communication
Taher M. Ghazal, Mohammad Kamrul Hasan et al. · Journal of Intelligent & Robotic Systems · Springer · 2025
Q2Springer
08
Review on Honeynet Analysis: Can LSTM and Shot Learning Drive Intelligent Cyber Threat Detection?
T.A.M. Tajul Ariffin, S.N.H. Sheikh Abdullah, F. Fauzi, Mohammad Kamrul Hasan et al. · Cluster Computing · Springer · 2025
Q1Springer
09
Intelligent Device-to-Device Handover Management Techniques for 5G/6G and Beyond
S.M. Topazal, Shayla Islam, R. Kolandaisamy, Mohammad Kamrul Hasan et al. · The Journal of Supercomputing · Springer · 2025
Q2Springer
10
A Comprehensive Survey on 6G-Security: Physical Connection and Service Layers
Mamoon M. Saeed, Rashid A. Saeed, Mohammad Kamrul Hasan et al. · Discover Internet of Things · Springer · 2025
Q2Springer
11
Edge Smart Meter Based LSTM Federated Learning with AES Cryptographic Blockchain for Smart Grid AIoT Networks
Mohammad Kamrul Hasan et al. · IEEE Communications Standards Magazine · 2025–2026
Q1IF: 6.0IEEE
12
Multi-Hop and Mesh for LoRa Networks: Recent Advancements, Issues, and Recommended Applications
Andrew Wei-Loong Wong, Mohammad Kamrul Hasan, Salmah Fattah · ACM Computing Surveys
Q1IF: 16.6ACM
Funding

Research Grants

Leading and co-investigating major grants from national and international funding bodies.

MYR 1M+ Total Funding Secured
12+ Projects (Active & Completed)
6+ International Collaborations
PI Primary Role on Key Projects
PI
GRIDTRUST: Federated AI and Cyber Range Testing for Secure and Explainable Smart Energy Infrastructure
ISPF-UK British Council (Under Evaluation) · £80,000
PI
Generative-AI and Cryptographic Blockchain based Federated Learning IoT System for Smart Manufacturing
Strategic Grant MOSTI 2025 (Under Evaluation) · MYR 1,600,000
PI
A Novel Cryptographic Fog-Server Empowered Deep-Federated Advanced Metering Model for Smart Grids
DIP-2025-01 · Ministry of Higher Education, Malaysia · 2025–2026 · MYR 110,000
PI
Dynamic Self-Defender End-To-End IoT Security Framework in Smart Grid Network
FRGS/1/2019/TK04 · Ministry of Higher Education, Malaysia · 2020–2023 · MYR 127,650 [Completed]
Co-PI
TUBITAK-MIGHT: AI-Powered Mitosis Detection in Breast Cancer Histopathology (Turkey–Malaysia)
International Grant · 2024–2026 · MYR 425,426
PI
A Novel Trustworthy-AI Empowered Security Model for Smart Grid (CDMS Research Grant, Australia)
CDMS Australia · Approved July 2025 · USD 10,000
Tools & Technologies

Technical Expertise

Spanning security tools, AI frameworks, network simulation, and hardware platforms.

Security & Pentesting
MetasploitOWASP ZAP WiresharkSnort ZeekNmap TcpdumpOpenSSL Security OnionCrypTool Kali Linux
AI & Programming
PythonGoogle Colab TensorFlowPyTorch MATLABC/C++ Simulink
Networks & Hardware
NS2/NS3OPNET USRP N200Raspberry Pi Atlas 200 AIUbuntu 5G/LTE-AACTIXGENEX
Connect

Get In Touch

Open to research collaborations, speaking invitations, and postgraduate supervision opportunities.

Location
Center for Cyber Security, FTSM
UKM, 43600 Bangi, Selangor, Malaysia
Research Interests
Cybersecurity · AI · Smart Grid · 5G/6G · IoT · Federated Learning · Blockchain