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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

Avoiding contingent incidents by quadrotors due to one or two propellers failure

Altinuç, K. O., Khan, M. U., & Iqbal, J. (2023). Avoiding contingent incidents by quadrotors due to one or two propellers failure. PLoS ONE, 18(3), Article e0282055. https://doi.org/10.1371/journal.pone.0282055

Certainty equivalence-based robust sliding mode control strategy and its application to uncertain PMSG-WECS

Chand, A., Khan, Q., Alam, W., Khan, L., & Iqbal, J. (2023). Certainty equivalence-based robust sliding mode control strategy and its application to uncertain PMSG-WECS. PLoS ONE, 18(2), Article e0281116. https://doi.org/10.1371/journal.pone.0281116

Complex Fractional-Order LQIR for Inverted-Pendulum-Type Robotic Mechanisms: Design and Experimental Validation

Saleem, O., Abbas, F., & Iqbal, J. (2023). Complex Fractional-Order LQIR for Inverted-Pendulum-Type Robotic Mechanisms: Design and Experimental Validation. Mathematics, 11(4), Article 913. https://doi.org/10.3390/math11040913

Chattering Free Sliding Mode Control and State Dependent Kalman Filter Design for Underground Gasification Energy Conversion Process

Ahmad, S., Uppal, A. A., Azam, M. R., & Iqbal, J. (2023). Chattering Free Sliding Mode Control and State Dependent Kalman Filter Design for Underground Gasification Energy Conversion Process. Electronics, 12(4), Article 876. https://doi.org/10.3390/electronics12040876

Model predictive control of consensus-based energy management system for DC microgrid

Ali, S. U., Waqar, A., Aamir, M., Qaisar, S. M., & Iqbal, J. (2023). Model predictive control of consensus-based energy management system for DC microgrid. PLoS ONE, 18(1), Article e0278110. https://doi.org/10.1371/journal.pone.0278110

Research interests

Robotics, Mechatronics, Control Systems

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