Gokula V A Vasantha

Gokula V A Vasantha

Edinburgh Napier University

H-index: 12

Europe-United Kingdom

About Gokula V A Vasantha

Gokula V A Vasantha, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Edinburgh Napier University, specializes in the field of Engineering Design, Engineering Informatics, Design methods, System modelling and analysis, Product-Service Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins

Experiences of Design for Disability in Collaborating with Students and Industries

Agent based simulation of workers' behaviours around hazard areas in manufacturing sites

Predictive CAD System Suggestion for Efficient Engineering Design Reuse

Movement Tracking-Based In-Situ Monitoring System for Additive Manufacturing

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

Data-driven discovery of manufacturing processes and performance from worker localisation

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

Gokula V A Vasantha Information

University

Position

Lecturer in Engineering Design UK

Citations(all)

920

Citations(since 2020)

450

Cited By

671

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

10

Email

University Profile Page

Edinburgh Napier University

Google Scholar

View Google Scholar Profile

Gokula V A Vasantha Skills & Research Interests

Engineering Design

Engineering Informatics

Design methods

System modelling and analysis

Product-Service Systems

Top articles of Gokula V A Vasantha

Title

Journal

Author(s)

Publication Date

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins

Satya Saravan Kumar Kasarapu

Gokula Vasantha

Adelaide Marzano

Jonathan Corney

Jack Hanson

...

2024/5/1

Experiences of Design for Disability in Collaborating with Students and Industries

Norman Harris

Gokula Vasantha

2023/8/30

Agent based simulation of workers' behaviours around hazard areas in manufacturing sites

Hanane El-Raoui

John Quigley

Ayse Aslan

Gokula Vasantha

Jack Hanson

...

2023/4/5

Predictive CAD System Suggestion for Efficient Engineering Design Reuse

Gokula Vasantha

Jonathan Corney

John Quigley

Andrew Sherlock

2023/3/29

Movement Tracking-Based In-Situ Monitoring System for Additive Manufacturing

Gokula Vasantha

Ayse Aslan

Paul Lapok

Alistair Lawson

Stuart Thomas

2023/6/18

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

Hanane El Raoui

John Quigley

Ayse Aslan

Gokula Vasantha

Jack Hanson

...

2023/12/10

Data-driven discovery of manufacturing processes and performance from worker localisation

Ayse Aslan

Hanane El-Raoui

Jack Hanson

Gokula Vasantha

John Quigley

...

2023/6/18

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

Gokula Vasantha

Jonathan Corney

Chandra Kant Upadhyay

2023/11/2

A knowledge graph approach for state-of-the-art implementation of industrial factory movement tracking system

Gokula Vasantha

Ayse Aslan

Jack Hanson

Hanane El-Raoui

Jonathan Corney

...

2023/6/18

Hierarchical ensemble deep learning for data-driven lead time prediction

The International Journal of Advanced Manufacturing Technology

Ayse Aslan

Gokula Vasantha

Hanane El-Raoui

John Quigley

Jack Hanson

...

2023/10

Using worker position data for human-driven decision support in labour-intensive manufacturing

Sensors

Ayse Aslan

Hanane El-Raoui

Jack Hanson

Gokula Vasantha

John Quigley

...

2023/5/20

Towards predictive design: tracking a CNC fixture design process to identify the requirements

Advances in Manufacturing Technology XXXV: Proceedings of the 19th International Conference on Manufacturing Research, Incorporating the 36th National Conference on Manufacturing Research, 6–8 September 2022, University of Derby, Derby, UK

Gokula Vasantha

David Purves

Jonathan Corney

Michael Canavan

John Quigley

...

2022/11/8

Lead time prediction with the Bosch production line dataset

Ayse Aslan

Gokula Vasantha

Hanane El-Raoui

John Quigley

Jack Hanson

...

2022/9/4

Design as a marked point process

Journal of Mechanical Design

John Quigley

Gokula Vasantha

Jonathan Corney

David Purves

Andrew Sherlock

2022/2/1

Assessment of predictive probability models for effective mechanical design feature reuse

AI EDAM

Gokula Vasantha

David Purves

John Quigley

Jonathan Corney

Andrew Sherlock

...

2022

Common design structures and substitutable feature discovery in CAD databases

Advanced Engineering Informatics

Gokula Vasantha

David Purves

John Quigley

Jonathan Corney

Andrew Sherlock

...

2021/4/1

A probabilistic design reuse index for engineering designs

Journal of Mechanical Design

Gokula Vasantha

Jonathan Corney

Struan Stuart

Andrew Sherlock

John Quigley

...

2020/10/1

Strategic upturn of reverse logistics with Crowdshipping: Transportation explication for India

Transportation Research Procedia

Chandra Kant Upadhyay

GA Vasantha

Vijayshri Tiwari

Vineet Tiwari

B Pandiya

2020/1/1

See List of Professors in Gokula V A Vasantha University(Edinburgh Napier University)