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

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

Nonlinear control of two-stage single-phase standalone photovoltaic system

Latif, A., Khan, L., Agha, S., Mumtaz, S., & Iqbal, J. (2024). Nonlinear control of two-stage single-phase standalone photovoltaic system. PLoS ONE, 19(2), Article 0297612. https://doi.org/10.1371/journal.pone.0297612

Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system

Khan, L., Khan, L., Agha, S., Hafeez, K., & Iqbal, J. (2024). Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system. PLoS ONE, 19(2), Article e0296797. https://doi.org/10.1371/journal.pone.0296797

Robust CNN architecture for classification of reach and grasp actions from neural correlates: an edge device perspective

Sultan, H., Ijaz, H., Waris, A., Mushtaq, S., Mushtaq, K., Khan, N. B., …Iqbal, J. (2024). Robust CNN architecture for classification of reach and grasp actions from neural correlates: an edge device perspective. Measurement Science and Technology, 35(3), Article 035703. https://doi.org/10.1088/1361-6501/ad1157

Adaptive optimal control of under-actuated robotic systems using a self-regulating nonlinear weight-adjustment scheme: Formulation and experimental verification

Saleem, O., Rizwan, M., & Iqbal, J. (2023). Adaptive optimal control of under-actuated robotic systems using a self-regulating nonlinear weight-adjustment scheme: Formulation and experimental verification. PLoS ONE, 18(12), Article e0295153. https://doi.org/10.1371/journal.pone.0295153

Research interests

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

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