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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 (University of Genoa )

Summary

Dr. Iqbal is an academically sophisticated professional with pioneering career reflecting strong technical expertise flavored with intensive professional teaching and industrial research experience of over two decades. Currently, he is looking after Mechatronics and Robotics programme.

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

Keynote Speeches: ICCEES 2021, ICoMST 2021, HORA 2019, WFAR 2016

Peer-reviewed Publications: 2 Books + 3 Book Chapters + 78 Journal + 45 Conference papers (mostly IEEE)

No. of Citations: 3015 (Google Scholar)

H-Index: 35

Funded projects:

(1) “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)

(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 in progress)

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

(4) “RoboPLEF - Robotics-inspired Practical LEarning Framework”, Ferens Education Trust (FET), UK (Role: PI, Amount: £5K, Status: Project in progress)

Dr. Iqbal is a Fellow of Advanced HE and a Senior member of IEEE. He is a Guest Editor of 'Electronics', an Associate Editor of IEEE Access, an Academic Editor of 'BioMed Research International' and 'PLOS One' and an Editorial Board Member of 'Maejo International Journal of Science and Technology' and 'Engineering, Technology & Applied Science Research'. Moreover, he is a TPC member of various reputed international conferences.

- Mechatronic Systems (500680) Module Leader

- Mechatronics Robotics Sensors and Simulation (500682) Module Leader

- Machine Vision and Sensor Fusion ( 601097) Module Leader

- Stress Analysis and Dynamics of Mechanical Systems (500667) Module Leader

- Robotics and Automation (601089) Co-Lecturer

- Autonomous Robots (701028) Co-Lecturer

- Honours Stage Project (600091)

Recent outputs

View more outputs

Journal Article

Characterization and calibration of multiple 2D laser scanners

Riaz un Nabi Jafri, S., Shamim, S., Faraz, S. M., Ahmed, A., Yasir, S. M., & Iqbal, J. (2022). Characterization and calibration of multiple 2D laser scanners. PLoS ONE, 17(7), Article e0272063. https://doi.org/10.1371/journal.pone.0272063

Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator

Rezoug, A., Iqbal, J., & Tadjine, M. (2022). Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, https://doi.org/10.1177/09596518221099768

Performance comparison of structured H8 based looptune and LQR for a 4-DOF robotic manipulator

Asghar, A., Iqbal, M., Khaliq, A., Rehman, S. U., & Iqbal, J. (2022). Performance comparison of structured H8 based looptune and LQR for a 4-DOF robotic manipulator. PLoS ONE, 17(4), Article e0266728. https://doi.org/10.1371/journal.pone.0266728

Theory and practice for autonomous formation flight of quadrotors via distributed robust sliding mode control protocol with fixed-time stability guarantee

Mechali, O., Xu, L., Xie, X., & Iqbal, J. (2022). Theory and practice for autonomous formation flight of quadrotors via distributed robust sliding mode control protocol with fixed-time stability guarantee. Control engineering practice, 123, https://doi.org/10.1016/j.conengprac.2022.105150

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

Anjum, M. B., Khan, Q., Ullah, S., Hafeez, G., Fida, A., Iqbal, J., & R. Albogamy, F. (2022). Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation. Applied Sciences, 12(6), Article 2773. https://doi.org/10.3390/app12062773

Research interests

Robotics, Mechatronics, Control Systems

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