Dr. Jamshed Iqbal

Dr Jamshed Iqbal

Senior Lecturer

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Qualifications

  • MSc (University of Engineering and Technology, Taxila)
  • MSc (Aalto University School of Science and Technology)
  • MSc (Lulea University of Technology)
  • PhD / DPhil (University of Genoa )

Summary

Dr. Iqbal is an academically sophisticated professional with pioneering career reflecting strong technical expertise flavored with intensive professional leadership, teaching and research experience in industry as well as in academia of over two decades. Currently, he is looking after BEng/MEng Robotics and AI programme.

His research interests include Robotics, Mechatronics and Control Systems. Summary of his profile is mentioned below:

Keynote Speeches: EEITE 2024 (Greece), ICMEEA 2024 (Singapore), ISRAI 2024 (Spain), AIR 2024 (China), ISMSIT 2023 (Turkey), ICCEES 2021 (Turkey), ICoMST 2021 (Poland), HORA 2019 (Turkey), WFAR 2016 (Pakistan)

Peer-reviewed Publications: 2 Books + 4 Book Chapters + 100+ Journal + 47 Conference papers (mostly IEEE)

No. of Citations: 3100+ (Scopus), H-Index: 35 (Scopus)

Funded projects:

(1) “Exploring the best practices in AI education: Harnessing the potential of robotics via the CDIO framework in higher education”, UK-Saudi Challenge Fund, British Council, (PI, £40K, Project In-Progress)

(2) “Unleashing the potential of Unmanned Aerial System (UAS) in oil and gas sector for infrastructure monitoring and fault analysis”, DSR grant, UJ, KSA (Co-PI, £17K, Project completed)

(3) “RoboPLEF ─ Robotics-inspired Practical LEarning Framework”, Ferens Education Trust (FET), UK (Role: PI, Amount: £5K, Project completed)

(4) “Prospective opportunities and challenges of robotics in KSA – An investigational study to achieve strategic objectives of Vision 2030”, Deanship of Scientific Research (DSR) grant, University of Jeddah (UJ), KSA (PI, £2K, Project completed)

(5) “First Aid - Unmanned Aircraft System (FA-UAS)”, International Collaboration for Logistics Program, DSR grant, UJ, KSA (International Consultant, £18K, Project in progress)

Dr. Iqbal is a Senior Fellow of Advanced HE, a Chartered Engineer from IET and a Senior member of IEEE. He is a Guest Editor of four Special issues in 'Electronics', 'Drones', 'Sensors' and 'Frontiers in Robotics and AI'. He is an Associate Editor or Academic Editor of 13 reputed journals. Moreover, he is a TPC member of various reputed international conferences.

MODULE LEADER:

- Mechatronic Systems (500680)

- Mechatronics Robotics Sensors and Simulation (500682)

- Stress Analysis and Dynamics of Mechanical Systems (500667)

- Robotics Systems and Simulation (551530)

- Embedded Systems Development (600085)

- Machine Vision and Sensor Fusion ( 601097)

CO-LECTURER:

- Robotics and Automation (601089)

- Autonomous Robots (701028)

- Honours Stage Project (600091)

Recent outputs

View more outputs

Journal Article

Optimal design of a hybrid ship energy management system under various sea conditions using Model Predictive Contro

Mushtaq, R., Iqbal, M., Khaliq, A., & Iqbal, J. (2025). Optimal design of a hybrid ship energy management system under various sea conditions using Model Predictive Contro. PLoS ONE, 20(7), Article e0326969. https://doi.org/10.1371/journal.pone.0326969

Fuzzy-Immune Adaptive Fractional-Order LQI Control for Robust and Intelligent Heart Rate Regulation in Cardiac Pacemakers

Saleem, O., Ahmed, D., & Iqbal, J. (2025). Fuzzy-Immune Adaptive Fractional-Order LQI Control for Robust and Intelligent Heart Rate Regulation in Cardiac Pacemakers. Fractal and Fractional, 9(7), Article 424. https://doi.org/10.3390/fractalfract9070424

Neural Adaptive Nonlinear MIMO Control for Bipedal Walking Robot Locomotion in Hazardous and Complex Task Applications

Bekhiti, . B., Iqbal, J., Hariche, K., & Fragulis, G. (2025). Neural Adaptive Nonlinear MIMO Control for Bipedal Walking Robot Locomotion in Hazardous and Complex Task Applications. Robotics, 14(6), Article 84. https://doi.org/10.3390/robotics14060084

PD-type iterative learning consensus control approach for an electromechanical actuator-based multiagent system

Li, B., Riaz, S., Saleem, O., Zhao, Y., & Iqbal, J. (2025). PD-type iterative learning consensus control approach for an electromechanical actuator-based multiagent system. Applied Intelligence, 55(7), Article 684. https://doi.org/10.1007/s10489-025-06559-2

Adaptive reconfigurable learning algorithm for robust optimal longitudinal motion control of UAVs

Saleem, O., Tanveer, A., & Iqbal, J. (2025). Adaptive reconfigurable learning algorithm for robust optimal longitudinal motion control of UAVs. Algorithms, 18(4), Article 180. https://doi.org/10.3390/a18040180

Research interests

Robotics, Mechatronics, Control Systems, Technology in Education, Learning and Teaching, Pedagogy

Lead investigator

Project

Funder

Grant

Started

Status

Project

Exploring the Best Practices in AI Education: Harnessing the Potential of Robotics via the CDIO Framework in Higher Education

Funder

British Council

Grant

£40,000.00

Started

1 April 2024

Status

Complete

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