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Dr Mujeeb Ur Rehman

Job: Senior Lecturer in Computer Science

School/department: School of Computer Science and Informatics

Address: ºÚÁÏÍø, The Gateway, Leicester, LE1 9BH

T: 01162078391

E: mujeeb.rehman@dmu.ac.uk

 

Personal profile

Dr Mujeeb Ur Rehman is an experienced academic with 10 years of teaching and research experience at prestigious institutions, including ºÚÁÏÍø (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.

Research group affiliations

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

Publications and outputs

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., “Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025 (Impact factor 4.7). 
  • 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).

Research interests/expertise

  • Artificial Intelligence
  • Cyber Security
  • Quantum Cryptography
  • AI for Healthcare
  • Homomorphic Encryption
  • Zero-Knowledge Proof