Dr. Jamshed Iqbal

Dr Jamshed Iqbal

Lecturer

+44 (0)1482 462187 | J.Iqbal@hull.ac.uk

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology

Related groups

  • 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.

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

Keynote Speeches: 3 (ICOMST 2021, HORA 2019, WFAR 2016)

Peer-reviewed Publications: 2 Books + 3 Book Chapters + 68 Journal + 48 Conference papers (mostly IEEE)

Cumulative Impact Factor: 80+

No. of Citations: 2487

H-Index: 32

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, 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”, Deanship of Scientific Research (DSR) grant, University of Jeddah, KSA (Co-PI, £17K, Project in Progress)

Dr. Iqbal is a Senior member of IEEE and is on editorial board and TPC member of various reputed journals and conferences.

- Mechatronic Systems (500680) Module Leader

- Machine Vision and Sensor Fusion ( 601097) Module Leader

- Robotics and Automation (601089)

- Mechatronics Robotics Sensors and Simulation (500682)

- Honours Stage Project (600091)

Recent outputs

View more outputs

Conference Proceeding

Terminal sliding mode control of an anthropomorphic manipulator with friction based observer

Ali, K., Mehmood, A., & Iqbal, J. (2021). Terminal sliding mode control of an anthropomorphic manipulator with friction based observer. https://doi.org/10.1109/ICRAI54018.2021.9651323

Journal Article

Neural network-based adaptive global sliding mode MPPT controller design for stand-alone photovoltaic systems

Ul Haq, I., Khan, Q., Ullah, S., Ahmed Khan, S., Akmeliawati, R., Ashraf Khan, M., & Iqbal, J. (2022). Neural network-based adaptive global sliding mode MPPT controller design for stand-alone photovoltaic systems. PLoS ONE, 17(1), https://doi.org/10.1371/journal.pone.0260480

Collaborative position control of pantograph robot using particle swarm optimization

Ali, N., Ayaz, Y., & Iqbal, J. (2022). Collaborative position control of pantograph robot using particle swarm optimization. International journal of control, automation, and systems, 20(1), 198-207. https://doi.org/10.1007/s12555-019-0931-6

Adaptive FIT-SMC Approach for an Anthropomorphic Manipulator with Robust Exact Differentiator and Neural Network Based Friction Compensation

Ali, K., Ullah, S., Mehmood, A., Mostafa, H., Marey, M., & Iqbal, J. (2022). Adaptive FIT-SMC Approach for an Anthropomorphic Manipulator with Robust Exact Differentiator and Neural Network Based Friction Compensation. IEEE Access, https://doi.org/10.1109/ACCESS.2021.3139041

Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations

Mehmood, Y., Aslam, J., Ullah, N., Alsheikhy, A. A., Din, E. U., & Iqbal, J. (2021). Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations. PLoS ONE, 16(11), https://doi.org/10.1371/journal.pone.0258909

Research interests

Robotics, Mechatronics, Control Systems

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