Dr. Zahid Usman

Dr. Usman is a chartered engineer with extensive experience in both industrial and research environments. His research experience expands to over six years within the areas of manufacturing information, machine vision, robotics and automation. He is an active researcher in robotic metrology and assembly, machine vision and manufacturing informatics. He has been involved in several research projects with leading aerospace and automotive industries. He also has experience of working for leading manufacturing organisations such as Rolls Royce and Massey Fergusons Tractors. As a teacher, Dr. Usman is focused on training engineering students to be industrially ready by conducting industry based teaching.

Thesis

  • Z. Usman, A Manufacturing Core Concepts Ontology to Support Knowledge Sharing, Department of Mechanical and Manufacturing Engineering, Loughborough University, PhD Thesis, 2012. 

Journal Papers

  • Z Usman, RP Monfared, N Lohse, MR Jackson, An investigation of highly accurate and precise robotic hole measurements using non-contact devices, International Journal of Metrology and Quality Engineering 7 (2), 2016
  • Z. Usman, R.I.M. Young, N. Chungoora, C. Palmer, G. Gunendran, K. Case, J.A. Harding, Towards a reference ontology for manufacturing, International Journal of Production Research, July-2013
  • I.A. Choudhry, Z. Usman, B.J. Iqbal. A Novel Method for the Generation of Symmetry Plane in the Reverse Engineering of Symmetrical Parts, Journal of Quality and Technology Management, 2012.
  • N. Chungoora, G. Gunendran, R.I.M. Young, Z. Usman, N.A. Anjum, C. Palmer, J.A. Harding, K. Case, and A.F. Cutting-Decelle. Extending product lifecycle management for manufacturing knowledge sharing. 2012
  • N. Chungoora, R.I.M. Young, G. Gunendran, C. Palmer, Z. UsmanN.A. Anjum, A.F. Cutting-Decelle, J.A. Harding and K. Case. A model-driven ontology approach for manufacturing system interoperability and knowledge sharing. Computers in Industry. I Mech-E Part B, 2012
  • N. Chungoora, A.‐F. Cutting‐Decelle, R.I.M. Young, G. Gunendran, Z. Usman, J.A. Harding, K. Case, Towards the ontology‐based consolidation of production‐centric standards, International Journal of Production Research, DOI:10.1080/00207543.2011.627885. 2011
  • C. Palmer, A.G. Gunendran, R.I.M. Young, N. Chungoora, Z. Usman, K. Case and J.A. Harding Exploiting UML as a Preliminary Design Tool for Common Logic‐based Ontologies, International Journal of Computer Integrated Manufacturing, May, 2012

Conferences Papers and Book Chapters

  • Saha, S., Usman, Z., Jones, S.A., Kshirsagar, R., and Li, W, “Towards a formal ontology to support interoperability across multiple product lifecycle domains” in International Conference on Semantic Computing in  San-Diago, California, USA, Jan-Feb, 2017,
  • Z. Usman and R. I. M. Young, A MetaMeta Level Formal Manufacturing Ontology for Meta Level Production Methods in Enterprise Interoperability VII, Volume 8 of the series Proceedings of the I-ESA Conferences pp 227-237, Oct 2016
  • Ali Al-Yacoub , Sara Sharifzadeh, Niels Lohse, Z Usman, Yee Mey Goh, Mike Jackson, "Learning Industrial Robot Force/Torque Compensation: A Comparison Of Support Vector And Random Forests Regression" in The First IASTED International Conference on Intelligent Systems and Robotics (ISAR 2016) Zurich, Switzerland, October 6 – 8, 2016
  • Ali Al-Yacoub , Sara Sharifzadeh, Niels Lohse, Zahid Usman, Yee Mey Goh, Mike Jackson "Learning Industrial Robot Force/Torque Compensation: A Comparison Of Support Vector And Random Forests Regression" in EUSPEN conference, Nottingham UK, June 2016.
  • PS Ogun, Z Usman, K Dharmaraj, MR Jackson3D vision assisted flexible robotic assembly of machine components Eighth International Conference on Machine Vision, 98751O-98751O-7, Spain, 2015.
  • N. Chungoora, R.I.M. Young, G. Gunendran, Z. Usman, N.A. Anjum, C.  Palmer, J.A. Harding, K. Case, and A.F. Cutting-Decelle, A Model Driven Ontology Based Approach for Manufacturing Knowledge Sharing in PLM. In: Workshop on Interoperability for Enterprise Software and Applications (I-ESA). Valencia, Spain. March 20-21, 2012.
  • Z. Usman, R.I.M. Young, N. Chungoora, K. Case, C. Palmer, J.A. Harding, A manufacturing core concepts ontology for product lifecycle interoperability, International Working conference on enterprise interoperability, Stockholm Sweden, March 22‐23, 2011.
  • R.I.M. Young, N. Chungoora, Z. Usman, N.A. Anjum, G. Gunendran, C. Palmer, J.A. Harding, K Case and A‐F Cutting‐Decelle, An Exploration of Foundation Ontologies and Verification Methods for Manufacturing Knowledge Sharing, Workshop on Interoperability for Enterprise Software and Applications (I‐ESA Workshop, 2010), Coventry, UK, April, 13, 2010.
  • Z. Usman, R.I.M. Young, K. Case, J.A. Harding, A Manufacturing Foundation Ontology for Product Life Cycle Interoperability, The international conference on Interoperability for Enterprise Software and Applications (I‐ESA 2010), Coventry, UK, April, 14‐15, 2010.
  • Robert I.M. Young, N. Chungoora, Z Usman, N Anjum, G. Gunendran, C. Palmer, J Harding, K Case and A‐F Cutting‐Decelle, Reference ontologies for manufacturing based ecosystems, International Working conference on enterprise interoperability, Stockholm Sweden, March 22‐23, 2011.
  • Z. Usman, M. Imran, A. Hussain, N.A. ANJUM, and M.Q. Saleem. A Heavyweight Ontological Approach to Support Interoperability across Organizations. International Conference on Advanced Modelling and Simulation. Rawalpindi, Pakistan. 2011
  • A. Hussain, K. Case, Z. Usman, R. Marshall and S. Summerskill, A more realistic digital human modelling (DHM) approach to manufacturing industry. Proceedings of International Conference on Advanced Modelling and Simulation. Rawalpindi, Pakistan. 2011.
  • Interoperable Manufacturing Knowledge Systems. The project developed an ontological system for capturing and sharing production knowledge with designers in a seamless manner. This involved understanding the requirements for sharing production knowledge with designers. A detailed industrial investigation and review of the state of the art was conducted to identify the requirements and core concepts for the ontology. A formal manufacturing ontology and knowledge mapping methodology was developed. The developed ontological system was then integrated into a CAD environment. Instant sharing of production knowledge within the design environment was successfully demonstrated.
  • ESPRC Centre for Innovative Manufacturing in Intelligent Automation. The EPSRC Centre is part of a unique pipeline from discovery through to industrial deployment. Work initiated within an academic environment can be developed through an established innovation pathway (the Manufacturing Technology Centre and Cranfield Partners) to reach major industrial companies with the funding and commitment to exploit the results. This continuous pipeline is central to the success and value of the Centre and unique within the UK.
  • Adaptive Robotic Puzzle Solver. This project was conducted at the EPSRC CIM for Intelligent Automation. A robotic cell was developed solve wooden puzzle. The cell was equipped with a 2D smart vision system that provided the ability to view locate the puzzle pieces and their respective puzzle boxes. The project was successfully demonstrated in the EPSRC CIM for Intelligent Automation.
  • An investigation into high accuracy robotic hole inspection. This project was conducted at the EPSRC CIM for Intelligent Automation. A robotic cell was developed to inspect holes with high accuracy and precision. The project successfully demonstrated the use of robots (not high in accuracy) for highly accurate and precise hole measurement.
  • A robotic inspect system for relatively large, sculptured and reflective automotive components. This project was conducted at the EPSRC CIM for Intelligent Automation. A robotic cell was developed to inspect relatively large, sculptured and reflective components. The cell was equipped with a 2D vision system and special lighting systems i.e. dome light. Vision system was developed to identify the defects to painted surface in the presence of engraved characters, designed features and reflections. The project was successfully demonstrated in the EPSRC CIM for Intelligent Automation on a custom designed part that represented the inspection challenges. The vision based inspection system was integrated with a six-axis industrial robot to enable the inspection of the whole part.
  • An automated material deposition systems. This project was conducted at the EPSRC CIM for Intelligent Automation. A robotic cell was developed to automatically apply material on a planar surface. The developed system included a six axis industrial robot and a material deposition system. In addition a vision system was employed to inspect the final parts. As a result of this project, a model for depositing non-Newtonian fluid on planar surfaces using a robotic manipulator was developed. The project was successfully demonstrated at the EPSRC Centre for Innovative Manufacturing in Intelligent Automation.
  • A 3D vision based robotic assembly cell. This project was conducted at the EPSRC CIM for Intelligent Automation. A robotic cell was developed to adaptively assembly mechanical components. The developed system included a six axis industrial robot and a 3D laser scanner. The vision system returned the accurate 3D poses of mechanical components. The integrated and calibrated robot then picked those object and assembled them on a shaft. The project was successfully demonstrated at the Royal Academy of Engineering’s Event at the Manufacturing Technology Centre (MTC). The project was later enhanced to overcome occlusion issues and perform assembly at a high speed.