Gokula Vasantha
gokula vasantha

Dr Gokula Vasantha

Associate Professor

 0131 455 2457

  G.Vasantha@napier.ac.uk

  

Biography

Dr Gokula Vasantha is an Associate Professor and sub-group leader in Engineering Design and CAD in the School of Engineering and the Built Environment. Dr Gokula Vasantha is a senior academic with 12 years of teaching and research experience, and worked at two major UK universities (Cranfield University and the University of Strathclyde) before joining the Â鶹ÉçÇø. He completed his PhD from the Indian Institute of Science (IISc), Bangalore, India (One of the best research institutes in India) in Engineering Design Informatics. He is a member of the Institution of Engineering and Technology (IET), a Member of the Design Â鶹ÉçÇø, and a Fellow of the Higher Education Academy.

Dr Vasantha focuses on teaching engineering design, computer-aided engineering, and mechanics modules to graduate and postgraduate students. He also has experience teaching engineering innovation and management, product costing and financial measurement, and engineering collaborative system development modules. He completed postgraduate certification in academic studies to develop and deliver teaching with an academic scholarship and professional practice.

Dr Vasantha's research interests include Predictive Engineering Design modelling, Analysis of Engineering Design Informatics, Designing Integrated Product-Service Systems, Developing Collaborative Product Development Environment, Modelling and Management of Engineering Design, and Crowdsourcing Design and Manufacturing Processes. He is interested in developing new methods and tools for helping designers and industries to design novel and sustainable products and services. He has published more than 50 peer-reviewed journals and conferences, and the research papers are well cited within the academic community.

Currently, in collaboration with the University of Edinburgh and the University of Strathclyde, he received a major EPSRC grant to develop advanced digital twin systems for responsive manufacturing. As a lead researcher, he has completed the following major EPSRC funded projects:

o Capability-based Product-Service Systems Design, Cranfield University, 2009-2011.
o Distributing Industrial Optimization Tasks to Rural Workers, University of Strathclyde, 2012-2015.
o Quantifying patent commercialisation to support design, University of Strathclyde, 2015-2017.
o Enabling Design Re-use through Predictive CAD, University of Strathclyde, 2015-2020.

He is the recipient of the following awards:
• Awarded' Young Researcher Award' at the 4th International Conference on Product-Service Systems, Tokyo, Japan, 2012.
• Received Certificate of Merits for both of my presented papers titled "Designers' Perception on Information Processes" and "Requirements for Computer-Aided Conceptual Product-Service Systems Design" in the International Conference on Research into Design held at IIT Madras, Chennai, India, 2013.
• Received Certificate of Merit for the presented paper titled "A Stakeholders' Integrated Framework for Designing Product-Service Systems" in the 22nd CIRP Design Conference at Indian Institute of Science, Bangalore, India, 2011.
• Awarded National Doctoral Fellowship from All India Council for Technical Education, New Delhi, which awarded to the best 50 young researchers within India, 2004.

School

Research Groups

Themes

Research Areas

Esteem

Conference Organising Activity

  • Member of the Design conference Scientific Advisory Board
  • International Programme Committee in International Conference on Research into Design, IIT Bombay, India.
  • Member of the scientific committee for International Conference on Engineering Design, Gothenburg, Sweden

 

Fellowships and Awards

  • Certificate of Merits for research presented on Computer-Aided Conceptual Product-Service Systems Design and Designers' Perception on Information Processes
  • Young Researcher Award for the research contribution to Product-Service System Design
  • Certificate of Merit in the 22nd CIRP Design Conference
  • National Doctoral Fellowship from All India Council for Technical Education

 

Invited Speaker

  • Feature Based Product Design and Digital Manufacturing
  • Invited speaker on Design Research Methodology Workshop, IIT Bombay, India

 

Membership of Professional Body

  • Member of The Institution of Engineering and Technology (MIET)
  • Fellow of the Higher Education Academy
  • Member of the Design Â鶹ÉçÇø

 

Public/Community Engagement

  • Organized talk from Dr Hitoshi Komoto, Senior Research Scientist from National Institute of Advanced Industrial Science and Technology (AIST), Japan

 

Research Degree External Examining

  • External Examiner for Engineering Doctorate at the University of Strathclyde

 

Reviewing

  • Applied Sciences
  • Sustainability
  • Encyclopedia journal
  • Advanced Engineering Informatics Journal
  • Research in Engineering Design
  • International Journal of Product Lifecycle Management
  • Computer-Aided Design Journal
  • ASME Journal of Computing and Information Science in Engineering
  • PLOS ONE Journal
  • Journal of Design research
  • Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing
  • Journal of Engineering Design
  • International Conference on Research into Design

 

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60 results

Experiences of Design for Disability in Collaborating with Students and Industries

Book Chapter
Harris, N., & Vasantha, G. (2025)
Experiences of Design for Disability in Collaborating with Students and Industries. In Future of Design Education: InFuSED23 (205-219). Springer. https://doi.org/10.1007/978-981-97-7363-3_14
This chapter looks at the design and engineering of products to assist people with disability. It looks at the process that companies, disability organisations and universitie...

Analysing Spatio-Temporal Worker Movement Patterns: Implications for Safety and Productivity in Smart Factories

Presentation / Conference Contribution
Vasantha, G., Patel, H., Hanson, J., Corney, J., El-Raoui, H., Sales, R., Quigley, J., Kasarapu, S. S., & Sherlock, A. (2025, June)
Analysing Spatio-Temporal Worker Movement Patterns: Implications for Safety and Productivity in Smart Factories. Presented at 11th IFAC Conference on Manufacturing Modelling, Management and Control – IFAC MIM2025, Norway
Understanding the spatio-temporal dynamics of worker movements within complex factory environments, such as shipbuilding facilities, is crucial for proactively assessing safet...

Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks

Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August)
Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks. Presented at IDETC-CIE International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington, DC
Occupational accidents in manufacturing industries pose a significant risk, necessitating advanced strategies to ensure worker safety and enhance operational productivity. The...

Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion

Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (2025)
Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion. International Journal of Production Research, 63(4), 1326-1353. https://doi.org/10.1080/00207543.2024.2374847
This paper introduces a novel methodology leveraging worker localisation data from ultrawide-band sensors to formulate alternative facility layouts aimed at minimising travel ...

Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

Conference Proceeding
El Raoui, H., Quigley, J., Aslan, A., Vasantha, G., Hanson, J., Corney, J., & Sherlock, A. (2024)
Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences. In 2023 Winter Simulation Conference (WSC) (1304-1315). https://doi.org/10.1109/WSC60868.2023.10407667
Conventional methods used to elicit risk-taking preferences have demonstrated significant disparities with real-world behaviours, compromising the validity of the data collect...

Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers

Journal Article
Vasantha, G., Corney, J., & Upadhyay, C. K. (2023)
Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers. Knowledge, 3(4), 626-641. https://doi.org/10.3390/knowledge3040039
Crowdsourcing offers on-demand access to large numbers of human workers to implement new forms of human–computer collaborative functionalities that can be seamlessly integrate...

Predictive CAD System Suggestion for Efficient Engineering Design Reuse

Other
Vasantha, G., Corney, J., Quigley, J., & Sherlock, A. (2023)
Predictive CAD System Suggestion for Efficient Engineering Design Reuse. [Magazine article]

Lead time prediction with the Bosch production line dataset

Dataset
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. Lead time prediction with the Bosch production line dataset. [Dataset]

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Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. Lead time prediction with the Bosch production line dataset. [Dataset]

Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements

Conference Proceeding
Vasantha, G., Purves, D., Corney, J., Canavan, M., Quigley, J., & Sherlock, A. (in press)
Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements. In International Conference on Manufacturing Research ICMR 2022
Training novice production engineers to design manufacturing fixtures is a time-consuming process involving significant input from experienced experts. Motivated by the vision...

Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse

Journal Article
Vasantha, G., Purves, D., Quigley, J., Corney, J., Sherlock, A., & Randika, G. (2022)
Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse. Artificial intelligence for engineering design, analysis and manufacturing : AI EDAM, 36, Article e17. https://doi.org/10.1017/S0890060422000014
This research envisages an automated system to inform engineers when opportunities occur to use existing features or configurations during the development of new products. Su...