Dr Mujeeb Ur Rehman

Dr Mujeeb Ur Rehman is an experienced academic with 10 years of teaching and research experience at prestigious institutions, including De Montfort University (UK), University of Glasgow (UK), and York St John University (UK), among others. He has supervised numerous PhD, MSc, and undergraduate students in their dissertations and has published over 40 research papers in leading international journals such as IEEE Transactions, IET Transactions, and Elsevier, as well as in peer-reviewed international conference proceedings. In 2022, he was recognized as a Global Talent in Artificial Intelligence and Cyber Security by the Royal Academy of Engineering (UK). He has received several best paper awards at various international conferences. Academically, he has earned a Gold Medal in his MS (Engineering) degree and a Distinction in his BS (Engineering) degree. In addition to his academic achievements, he is a member of the Talent Peer Review College at UKRI, where he evaluates funding applications and contributes to shaping research directions. Furthermore, he has successfully secured several research and funding grants, both as a Principal Investigator (PI) leading projects and as a Co-Principal Investigator (Co-PI) collaborating on joint research efforts.

• Digital Research Communications and Responsible Innovations (Full Membership)
• Cyber Technology Institute (CTI)
• Institute of Artificial Intelligence (IAI)

Selected Journal Papers

• Mujeeb Ur Rehman, “Quantum-Enhanced Chaotic Image Encryption: Strengthening Digital Data Security with 1-D Sine-Based Chaotic Maps and Quantum Coding” Journal of King Saud University - Computer and Information Sciences, 2024 (Solo Author Paper, Impact factor: 6.9).
• Mujeeb Ur Rehman, et al., “A Fusion of Machine Learning and Cryptography for Fast Data Encryption through the Encoding of High and Moderate Plaintext Information Blocks” MULTIMEDIA TOOLS AND APPLICATIONS, 2024 (Impact factor: 3.6).
• Mujeeb Ur Rehman, et al., “ Voice Disorder Detection Using Machine Learning Algorithms: An Application in Speech and Language Pathology” Engineering Applications of Artificial Intelligence, 2024 (Impact factor: 8.0).
• Mujeeb Ur Rehman, et al., “A novel medical image data protection scheme for smart healthcare system” CAAI Transactions on Intelligence Technology, 2024 (Impact factor: 5.1).
• Mujeeb Ur Rehman, et al., “Robust encryption framework for IoT devices based on bit-plane extraction, chaotic sine models, and quantum operations” Internet of Things, 2024 (Impact factor: 5.9).
• Mujeeb Ur Rehman, et al., “Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach” Scientific Reports, 2024 (Impact factor: 3.8).
• Mujeeb Ur Rehman, et al., “Fingernail Diagnostics: Advancing type II diabetes detection using machine learning algorithms and laser spectroscopy” Microchemical Journal, 2024 (Impact factor: 4.9).
• Mujeeb Ur Rehman, et al., “A Compact 3-stage Pipelined Hardware Accelerator for Point Multiplication of Binary Elliptic Curves over GF(2233)” IEEE Access, 2024 (Impact factor: 3.467).
• Mujeeb Ur Rehman, et al., “Unif-NTT: A Unified Hardware Design of Forward and Inverse NTT for PQC Algorithms” IEEE Access, 2024 (Impact factor: 3.467).
• Mujeeb Ur Rehman, et al., “Innovative Cybersecurity for Enhanced Data Protection: An Extended Bit-Plane Extraction and Chaotic Permutation Diffusion Approach in Information Security” IEEE Access, 2024 (Impact factor: 3.467).
• Mujeeb Ur Rehman, et al., “Securing Medical Information Transmission Between IoT Devices: An Innovative Hybrid Encryption Scheme Based on Quantum Walk, DNA Encoding, and Chaos” Internet of Things, 2023 (Impact factor: 5.9).
• Mujeeb Ur Rehman, et al., “An Efficient Deep Learning Model for Brain Tumor Detection with Privacy Preservation” CAAI Transactions on Intelligence Technology, 2023 (Impact factor: 5.1).
• Mujeeb Ur Rehman, et al., “Efficient and Secure Image Encryption Using Key Substitution Process with Discrete Wavelet Transform” Journal of King Saud University - Computer and Information Sciences, 2023 (Impact factor: 6.9).
• Mujeeb Ur Rehman, et al.,“A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model” CMC-Computers, Materials Continua, 2023 (Impact factor: 3.86).
• Mujeeb Ur Rehman, et al., “Chaos and Cellular Automata-based Substitution Box and its Application in Cryptography” MDPI Mathematics, 2023 (Impact ffactor: 2.592).
• Mujeeb Ur Rehman, et al., “Securing High-Resolution Images from Unmanned Aerial Vehicles with DNA Encoding and Bit-Plane Extraction Method.” IEEE Access, 2023 (Impact factor: 3.467).
• Mujeeb Ur Rehman, et al., “A Novel Chaos-based Privacy-Preserving Deep Learning Model for Cancer Diagnosis.” IEEE Transactions on Network Science and Engineering, 2022 (Impact factor: 5.033).
• Mujeeb Ur Rehman, et al., “A Secure and Immutable Framework for Smart Healthcare Services using Blockchain Technology.” Computer Systems Science and Engineering, 2022 (Impact factor: 4.397).
• Mujeeb Ur Rehman, et al., “Novel Privacy Preserving Non-Invasive Sensing Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.” Sensors, 2022 (Impact factor: 3.847).
• Mujeeb Ur Rehman, et al., “Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms.” CMC-Computers, Materials Continua, 2022 (Impact factor: 3.860).
• Mujeeb Ur Rehman, et al., “Future Forecasting of COVID-19: A Supervised Learning Approach.”, Sensors, 2021 (Impact factor: 3.847).
• Mujeeb Ur Rehman, et al., “Dynamic Substitution and Confusion-Diffusion Based Noise-resistive Image Encryption Using Multiple Chaotic Maps.”, IEEE Access, 2021 (Impact factor: 3.367).
• Mujeeb Ur Rehman et al.,“ Noise-resistant Image Encryption Scheme for Medical Images in the Chaos and Wavelet Domain.”, IEEE Access, 2021 (Impact ffactor: 3.367).
• Mujeeb Ur Rehman, et al., “Synthesis and Design of Highly Selective Multi Mode Dual-Band Bandstop Filter.”, IEEE Access, 2021 (Impact Factor: 3.367).
• Mujeeb Ur Rehman et al., “Detecting the Security Level of Various cryptosystems Using Machine Learning Models.”, IEEE Access, 2020 (Impact ffactor: 3.367).

• Artificial Intelligence
• Cyber Security
• Quantum Cryptography
• AI for Healthcare
• Non-Invasive Healthcare System
• IoMT
• Digital Healthcare System
• Data Science

• Applied Artificial Intelligence
• Deep Learning
• Information Security
• Computer Programming
• Data Analytics
• Entrepreneurship

• PhD (Applied AI and Cyber Security)
• Masters in Engineering
• Bachelors in Engineering

• High Assurance System Design (CTEC5723)
• Critical Systems (CTEC5722)
• Object Oriented Development (CTEC2304)
• OO Design and Development (CTEC2710)

• Best Paper Award, Intrusion Detection using Machine Learning Techniques: An Experimental Comparison, the International Congress of Advanced Technology and Engineering (ICOTEN 2021), July 2021, Yemen.
• Best Paper Award, Anomaly Detection and Attack Classification Using Machine Learning, The 2nd International Conference of Advanced Computing and Informatics (ICACIN 2021), May 2021, Casablanca, Morocco. 
• Distinction in BS (Engineering)
• First Position in MS (Certificate of Distinction, Gold Medal Award)
• PhD Studentship Award 

• Program Committee Member in ICSC2023 (The Third Intelligent Cybersecurity Conference), San Antonio, USA, October 23-25, 2023.
• Program Committee Member in CGVC 23, The 41st Computer Graphics Visual Computing Conference, Wales, UK, September 14-15, 2023.
• Program Committee Member in IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), New Delhi, India, September 22-24, 2023.
• Program Committee Member in ICAISC 23, The 1st International Conference on Advanced Innovations in Smart Cities, Jeddah, Saudi Arabia, January 23-25, 2023.
• Program Committee Member in SMARTTECH-22, The 2022 International Conference of Smart Systems and Emerging Technologies, Riyadh, Saudi Arabia, May 22-24, 2022.

1. Member of the UKRI Talent Peer Review College.
2. Professional Engineer
3. Fellow of the Higher Education Academy

Current PhD Students

1st Supervisor

1. Margaret Zita (PhD - from 2024)
2. Muhammad Abrar (PhD - from 2024)
3. Shivani Jariwala (PhD - from 2024)

I also supervise a number of final year MSc students every year. If you are interested to be supervised by me, please contact me via e-mail to introduce yourself.

Ongoing Research Funding and Grants:

1. Protecting Medical Data: A Novel AI-Driven E-Healthcare Solution using Post Quantum Lightweight Cryptography, Cyber security academic startup accelerator programme 2024-25: phase 1, Innovate UK (Principal Investigator (PI), 2024-2025).
2. Protecting Medical Data: A Novel AI-Driven E-Healthcare Solution using Post Quantum Lightweight Cryptography, Cyber security academic startup accelerator programme 2024-25: phase 2, Innovate UK (Principal Investigator (PI), 2024-2025).

Reflection-less Bandstop Notch RF Filter for Interference Mitigation in Wireless Communication Systems, International Patent Office (IPO), Pakistan, 2024.

Ongoing External Academic Activities:

1. Guest Editor in Book, “Edge Intelligence: Advanced Deep Transfer Learning for IoT Security”, Elsvier Publisher, 2024.
2. Special Session Chair, “Privacy-Preserving Techniques in the Quantum Computing Era: Innovative Approaches for Enhanced Information Security”, The 29th International Conference on Automation and Computing (ICAC 2024), 28 Aug - 30 Aug 2024, Sunderland, UK.
3. Lead Guest Editor in Special Issue, “Application of Cloud Computing in Industrial Internet of Things”, Big Data and Cognitive Computing (impact factor 3.7), 2024.
4. Guest Editor in Special Issue, “Emerging Technologies in Information Security”, CMES-Computer Modeling in Engineering Science (impact factor 2.4), 2024.
5. Lead Guest Editor in Special Issue, “Innovations in Mathematical Analysis for Advanced Information Systems, Data Analysis and Its Applications”, Axioms, MDPI (impact factor 2.0), 2024.
6. Reviewer for many journals and conferences

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