Dr Mujeeb Ur Rehman

Job: Lecturer in Computer Science

School/department: School of Computer Science and Informatics

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

T: 01162078391

E: mujeeb.rehman@dmu.ac.uk

 

Personal profile

Dr Mujeeb Ur Rehman hold a position as a Lecturer at De Montfort University's School of Computer Science and Informatics. My research focus during my Ph.D. was on Artificial Intelligence and Cybersecurity. Prior to my current position, I served in the James Watt School of Engineering at the University of Glasgow, UK. With over ten years of experience, I am an experienced educator with cutting-edge teaching and research expertise in AI, Machine Learning, Cybersecurity, and IoT, having worked in academic, research, and industry environments. I have taught numerous industry-relevant courses, including Artificial Intelligence, Machine Learning, Neural Networks, AI for Cybersecurity, Programming for Cybersecurity, Cryptography, Computer Systems, and Mathematics for Computing. As a supervisor, I have overseen several dissertations from PhD, MSc, and undergraduate students. My contribution to the research community includes co-authoring more than 30 research papers, published in leading international journals (IEEE and IET Transactions) and peer-reviewed international conference proceedings. In recognition of my contributions to the field of Artificial Intelligence and Cybersecurity, I was awarded the Global Talent status by the UK Research and Innovation Body and the Royal Academy of Engineering in 2022.

Research group affiliations

  • 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 (Accepted, 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., “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). 6 of 7
  • 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
  • Non-Invasive Healthcare System
  • IoMT
  • Digital Healthcare System
  • Data Science

Areas of teaching

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

Qualifications

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

Courses taught

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

Honours and awards

  • 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. First Position in MS (Certificate of Distinction, Gold Medal Award).
  • PhD Studentship Award 

Membership of external committees

  • 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.

Membership of professional associations and societies

Member of the UKRI Talent Peer Review College.
Professional Engineer

Externally funded research grants information

Project Lead, Protecting Medical Data: A Novel AI-Driven E-Healthcare Solution using Post-Quantum Lightweight Cryptography, Innovate UK.

Published patents

Reflection-less Bandstop Notch RF Filter for Interference Mitigation in Wireless Communication Systems” International Patent Office (IPO), 2020.

ORCID number

0000-0002-4228-385X