School of Electrical Engineering & Computer Science

Cloud and Edge Computing

 

About US

Welcome to the Cloud and Edge Computing Research Group at SEECS! Our team is dedicated to pioneering advancements in cloud and edge computing technologies, exploring innovative solutions that bridge the gap between centralized and distributed systems. We focus on enhancing the efficiency, security, and scalability of computing resources to meet the demands of modern applications and services. By dedicated collaboration among researchers, industry partners, and academic institutions, we aim to drive forward the future of computing and deliver impactful research that addresses real-world challenges.

 

Our Team

Meet Our Research Team


Dr. Mohsin KamalResearch Project Lead

 


Dr. Hassaan Khaliq QureshiResearch Group Co-Lead
Dr. Sadiq AminResearch Group Co-Lead
Dr. Madiha KhalidResearch Group Co-Lead
Dr. Muhammad Naveed AmanInternational Collaborations

Dr. James Adu AnsereInternational Collaborations

 

Research

  • Javed, Z. Ullah and M. Kamal, “Novel Structure of a Solid Rotary Inverter Sensor for Speed Measurement of Vehicles,” in IEEE Access, vol. 12, pp. 15321-15329, 2024.
  • U. I. Nasir, A. Iqbal and H. K. Qureshi, “Securing Cyber-Physical Systems: A Decentralized Framework for Collaborative Intrusion Detection With Privacy Preservation,” in IEEE Transactions on Industrial Cyber-Physical Systems, vol. 2, pp. 303-311, 2024.
  • Razzaque AB, Qureshi HK, Baiocchi A. The role of SIC on the design of next generation multiple access. Annals of Telecommunications. 2024 Jun;79(5):343-60.
  • Kamal, M. Tariq, M.A. Jan and H. Song, “Blockchain Enabled Secure Distributed Event Logging in the Industrial Internet of Things,” in IEEE Internet of Things Journal, 2023.
  • Shabbir, M. Kamal, Z. Ullah and M. M. Khan, “Securing Autonomous Vehicles Against GPS Spoofing Attacks: A Deep Learning Approach,” in IEEE Access, vol. 11, pp. 105513-105526, 2023.
  • A. Ansere, M. Kamal, I.A. Khan and M.N. Aman, “Dynamic Resource Optimization for Energy-Efficient 6G-IoT Ecosystems,” in Sensors, vol. 23, pp. 4711, 2023.
  • Bari, M. M. Khan, M. Kamal, N. Ullah, O. Khan, and T. Hussain “Information Reconciliation using BCH Code for Quantum-Conventional Channel Model,” in Journal of Space Technology, 2023.
  • Gyamfi, J.A. Ansere, M. Kamal, M. Tariq, and A. Jurcut “An Adaptive Network Security System for IoT-enabled Maritime Transportation,” in IEEE Transactions on Intelligent Transportation Systems, 2022.
  • Kamal, A.J. Johani, E. Alanazi, and F. Albogamy “5G and Blockchain Enabled Lightweight Solutions for Containing COVID-19,” in Security and Communication Networks, 2022.
  • Kamal, M. Tariq, G. Srivastava, and Lukas Malina “Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems,” in IEEE Transactions on Intelligent Transportation Systems, 2021.
  • U. Abbasi, M. Kamal and M. Tariq, “Improved and Secured Electromyography in the Internet of Health Things,” in IEEE Journal of Biomedical and Health Informatics, 2021.
  • M. Kabir, M. Kamal, F. Ahmad, Z. Ullah, F. Mehmood, F.R. Albogamy and G. Hafeez, “Optimized Economic Load Dispatch with Multiple Fuels and Valve-Point Effects Using Hybrid Genetic-Artificial Fish Swarm~Algorithm,” in Sustainability, 2021.
  • Mir, I. Bari, M. Kamal and H. Ali, “Constraint Waveform Design for Spectrum Sharing Under Coexistence of Radar and Communication Systems,” in IEEE Access, vol. 9, pp. 46093-46105, 2021.
  • Madiha Khalid, Umar Mujahid, Atif Jafri, Hongsik Choi and Najam ul Islam Muhammad, “An FPGA-based hardware abstraction of quantum computing systems”, Journal of Computational Electronics,2021.
  • Madiha Khalid, Umar Mujahid, M. Najm‑ul‑Islam, Hongsik Choi, Imtiaz Alam & Shahzad Sarwar, “Ultralightweight resilient mutual authentication protocol for IoT based edge networks”, Journal of Ambient Intelligence and Humanized Computing ,2021.
  • Kamal, G. Srivastava and M. Tariq, “Blockchain based Lightweight and Secured V2V Communication in the Internet of Vehicles,” in IEEE Transactions on Intelligent Transportation Systems, 2020.
  • Garba, A.D. Dwivedi, \textbf{M. Kamal}, G. Srivastava, M. Tariq, M.A. Hasan and Z. Chen, “A Digital Rights Management System based on a Scalable Blockchain,” in Peer-to-Peer Networking and Applications, Springer, 2020.
  • A. Ansere, G. Han, L. Liu, Y. Peng and M. Kamal, “Optimal Resource Allocation in Energy Efficient Internet of Things Networks with Imperfect CSI,” in IEEE Internet of Things Journal, 2020.
  • A. Ansere, M. Kamal, E. Gyamfi, M. Tariq and A. Mohammed, “Energy Efficient Resource Optimization in Cooperative Internet of Things Networks,” in Internet of Things, Elsevier, vol. 7, 100302, 2020.
  • Kamal and M. Tariq, “Light-Weight Security and Blockchain Based Provenance for Advanced Metering Infrastructure,” in IEEE Access, vol. 7, pp. 87345-87356, 2019.
  • Kamal and M. Tariq, “Light-Weight Security and Data Provenance for Multi-Hop Internet of Things,” in IEEE Access, vol. 6, pp. 34439-34448, 2018.
  • Tariq, M. Fatima and M. Kamal, “Precision in Motion: Comparative Analysis of YOLOvX Versions for Real-Time Multi-Object Tracking,” 2024 International Conference on Engineering & Computing Technologies (ICECT), Islamabad, Pakistan, 2024, pp. 1-6
  • Farooq, S. Z. Nain Zukhraf, S. Shafi, M. Kamal and N. Chumuang, “Vision-Based Navigation for a Small-Sized Drone: A Simple AI Strategy at IMAV’22,” 2024 IEEE International Conference on Cybernetics and Innovations (ICCI), Chonburi, Thailand, 2024, pp. 1-5.
  • A. Aziz, H. K. Qureshi, A. Iqbal, A. Al-Dulaimi and S. Al–Rubaye, “Towards Accurate Categorization of Network IP Traffic Using Deep Packet Inspection and Machine Learning,” GLOBECOM 2023 – 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 01-06.
  • Farooq, S. Z. N. Zukhraf, H. Maryam, C. Attard and M. Kamal, “Exploring the Impact of Robotics in STEM Education Activities and Competitive Challenges,” 2023 IEEE International Conference on Cybernetics and Innovations (ICCI), phetchaburi, Thailand, 2023, pp. 1-6.
  • Umar Mujahid, Madiha Khalid and Najam ul Islam Muhammad,” FPGA Based Emulation Of B92 QKD Protocol”, Annual Conference on Information Sciences and Systems (CISS), 2023.
  • Najam-ul-Islam, Muhammad, Madiha Khalid, and Umar Mujahid. “Formal Security Analysis of Generalized Ultralightweight Mutual Authentication Protocol.” Proceedings of the Future Technologies Conference. Cham: Springer Nature Switzerland, 2023.
  • Fawad, M. Sharjeel, J. A. Ansere and M. Kamal, “Computer Vision enabled Plant’s Health Estimation in Precision Farming,” 17th IEEE International Conference on Emerging Technologies 2022 (ICET’22), Swabi, Pakistan.
  • Kamal et al., “A Comprehensive Solution for Securing Connected and Autonomous Vehicles,” in Design, Automation and Test in Europe (DATE), 2022, Belgium.
  • Kamal, A. Barua, C. Vitale, C. Laoudias and G. Ellinas, “GPS Location Spoofing Attack Detection for Enhancing the Security of Autonomous Vehicles,” IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 1-5.
  • H. Sackey, J. Chen, J. A. Ansere, G. K. Gapko and M. Kamal, “A Bio-Inspired Technique based on Knowledge Discovery for Routing in IoT Networks,” IEEE 23rd International Multitopic Conference (INMIC), Bahawalpur, Pakistan, 2020
  • Iqbal, M. Kamal, J. A. Ansere and O. Khan, “Event Based Localization using Enhanced Multi Sequence Positioning in Wireless Sensor Networks,” IEEE 23rd International Multitopic Conference (INMIC), Bahawalpur, Pakistan, 2020
  • A. Ansere, J. H. Anajemba, S. H. Sackey, C. Iwendiz, and M. Kamal, “Optimal Power Allocation Algorithm for Energy Efficient IoT-NOMA Enabled Networks” 15th IEEE International Conference on Emerging Technologies 2019 (ICET’19), Peshawar, Pakistan.
  • H. Sackey, J. A. Ansere, J. H. Anajemba, M. Kamal, C. Iwendiz “Energy Efficient Clustering-Based Routing Technique in WSN using Brain Storm Optimization” 15th IEEE International Conference on Emerging Technologies 2019 (ICET’19), Peshawar, Pakistan.
  • Kamal and M. Tariq, “Light-Weight Security for Advanced Metering Infrastructure,” 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1-5.
  • Kamal, M. Ibrahim, S. Mir and M. N. Aman, “Comparison of multihop relaying protocols in cognitive radio networks,” Sixth International Conference on Innovative Computing Technology (INTECH), Dublin, Ireland, 2016, pp. 611-616.
  • Ibrahim, M. Kamal, O. Khan and K. Ullah, “Analysis of radix-2 decimation in time algorithm for FPGA co-processors,” International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), Quetta, 2016, pp. 154-157.
  • Gyamfi, E., Ansere, J.A., Kamal, M. (2023). Network Security System in Mobile Edge Computing-to-IoMT Networks Using Distributed Approach. In: Srivastava, G., Ghosh, U., Lin, J.CW. (eds) Security and Risk Analysis for Intelligent Edge Computing. Advances in Information Security, vol 103. Springer, Cham.
  • Qasim I., Habib N., Habib U., Usman Q.F., Kamal M. (2020) Comparison of Localization Algorithms for Unmanned Aerial Vehicles. In: Bajwa I., Sibalija T., Jawawi D. (eds) Intelligent Technologies and Applications. INTAP 2019. Communications in Computer and Information Science, vol 1198. Springer, Singapore

CARAMEL: Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles

The project is titled “CARAMEL” and brings together 15 organizations from 8 European countries with complementary expertise and skills. It addresses the cybersecurity challenge of the next generation mobility, contributing to the long-term vision of safer roads with zero fatality. CARAMEL’s goal is to proactively address modern vehicle cybersecurity challenges by applying advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques and to continuously seek methods to mitigate associated safety risks. The project’s partnership consists of i2CAT (Project Coordinator), Ficosa and Atos from Spain; AVL from Austria; the KIOS CoE at the University of Cyprus, 8Bells and Sidroco from Cyprus; Altran, Panasonic Automotive and T-Systems from Germany; The University of Patras from Greece; GreenFlux and Cyberlens from the Netherlands; Ubiwhere from Portugal and 0 Infinity from the UK.

Quantum Implementation of Lightweight Ciphers

This project involves the design and implementation of quantum circuit for the Lightweight cipher. The tool that is primarily being used for implementation is IBM Qiskit. Efficient implementation of cipher’s quantum circuit will facilitate the evaluation of the cipher’s robustness against the quantum computing based brute force attack i.e. Grover search.

Computer Vision Based Plant’s Health Estimation

This project focuses on vegetable plants with 11 groups, one healthy and ten diseases. Using computer vision techniques and the YOLOv8n model trained with detailed labelled and annotated dataset of 11 classes, photos of tomato plants are recorded using a Pi camera, allowing disease identification. Then, a robotic spraying system is used to provide tailored therapies depending on the observed plant health problems. This initiative intends to contribute to sustainable farming methods by merging cutting-edge technology with agricultural operations, thereby increasing crop output while minimizing environmental effect.