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 teaching and industrial research experience 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: ISMSIT 2023, ICCEES 2021, ICoMST 2021, HORA 2019, WFAR 2016

Peer-reviewed Publications: 2 Books + 4 Book Chapters + 96 Journal + 47 Conference papers (mostly IEEE)

No. of Citations: ~4500 (Google Scholar)

H-Index: 41

Funded projects:

(1) “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)

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

(3) “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)

(4) “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 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

A flexible mixed-optimization with H∞ control for coupled twin rotor MIMO system based on the method of inequality (MOI)- An Experimental Study

Abbas, N., Liu, X., & Iqbal, J. (2024). A flexible mixed-optimization with H∞ control for coupled twin rotor MIMO system based on the method of inequality (MOI)- An Experimental Study. PLoS ONE, 19(3), Article e0300305. https://doi.org/10.1371/journal.pone.0300305

Minimum Distance and Minimum Time Optimal Path Planning with Bioinspired Machine Learning Algorithms for Impaired Unmanned Air Vehicles

Tutsoy, O., Hendoustani, D., Ahmadi, K., Nabavi, Y., & Iqbal, J. (in press). Minimum Distance and Minimum Time Optimal Path Planning with Bioinspired Machine Learning Algorithms for Impaired Unmanned Air Vehicles. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2024.3367769

Application of hybrid control algorithm for the vehicle active suspension system to reduce the vibration

Anh Nguyen, T., Iqbal, J., Thu Huong Tran, T., & Binh Hoang, T. (2024). Application of hybrid control algorithm for the vehicle active suspension system to reduce the vibration. Advances in Mechanical Engineering, 16(3), https://doi.org/10.1177/16878132241239816

Compact rover surveying and laser scanning for BIM development

Jafri, S. R. U. N., Hussain, S. M., Ahmed, A., Rizvi, S. A. H., Kazmi, K. H., & Iqbal, J. (2024). Compact rover surveying and laser scanning for BIM development. PLoS ONE, 19(3 March), Article e0301273. https://doi.org/10.1371/journal.pone.0301273

Adaptive optimal control of twin-rotor helicopter system; Meta-heuristics and Lyapunov based approach

Rezoug, A., Messah, A., Ahmed Messaoud, W., Baizid, K., & Iqbal, J. (2024). Adaptive optimal control of twin-rotor helicopter system; Meta-heuristics and Lyapunov based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46, Article 162. https://doi.org/10.1007/s40430-024-04714-3

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

£39,999.00

Started

1 April 2024

Status

Ongoing

Top