The Global Goals
In 2015, UN member states agreed to 17 global to end poverty, protect the planet and ensure prosperity for all. Sanjay's work contributes towards the following SDG(s):
About Sanjay
- PGR coordinator, School of Computing, Engineering and Mathematics (SECAM), 2020 - present
- Head of Autonomous Marine Systems (AMS) Research Group formerly known as Marine and Industrial Dynamic Analysis (MIDAS) Research Group, SMSE, University of Plymouth (2010–present)
- BEng Mechanical Engineering Year 2 tutor (2009–present)
- Programme Manager for the MSc Mechanical Engineering, University of Plymouth (2004–2010)
- Member of SoE Diversity and Inclusion Committee, University of Plymouth (2015–present)
- Member of International Recruitment Committee, University of Plymouth (2006–present)
- Member of Faculty of Science and Engineering Culture, Diversity and Inclusion Committee, University of Plymouth (2013–present)
- Hindu faith advisor to University’s Multi-Faith Chaplaincy (2010–present)
- Elected member of Equality and Diversity Committee, University of Plymouth (2006–2009)
Supervised Research Degrees
A list of completed graduate students is shown below.
1. Polvara, R, Autonomous Drone landings on an unmanned marine vehicle using Deep Reinforcement Learning, PhD, 2015-18, Director of Studies (funded by faculty’s research scholarship), Postdoc at Lincoln University, UK.
2. Singh, Y, Cooperative Swarm Optimisation of Unmanned Surface Vehicles, PhD, 2015-2018, Director of Studies (Funded by Commonwealth scholarship), Postdoc at Purdue University, USA.
3. Szyrowksi T, An intelligent, fast-acquisition remote sensing system for locating and measuring burial of subsea power and telecommunication cables, PhD, 2011 – 2017, Director of Studies (Funded by an ESF grant).
4. Terzakis G, Intelligent Integrated autopilot design using visual SLAM, PhD, 2011 – 2016, Third Supervisor (Completed), (Funded by an EPSRC grant), Postdoc at Portsmouth University.
5. Zaynab Abdullah – Mphil Mechanical Engineering, Oct 2014 – Sep 2015, Second Supervisor.
6. Abed W, Robust and intelligent fault diagnosis techniques for DC motors, PhD, 2012 – 2015, Director of Studies (Completed), (Funded by Ministry of Higher Education and Scientific Research, Iraq).
7. Motwani A, Interval Kalman filtering techniques for uninhabited surface vehicle navigation, PhD, 2011 – 2014, Director of Studies (Completed), Employed at SAAB SEAEYE LIMITED, Fareham, UK.
8. Kayode O, Nonlinear model predictive control strategies for process plant using soft computing approaches, PhD, 2010 – 2014, Director of Studies (Completed), Postdoc position at Loughborough University.
9. Stewart F, Tribological Characterisation and Modelling of Premium Tubular Connections, PhD, 2010 – 2014 (Completed), Second Supervisor, Project Engineer DNV Aberdeen, United Kingdom.
10. Roper D, Design and Optimisation of a Biomimetic Marine Propulsion System, PhD, 2010 – 2013, Director of Studies (Completed), Employed by NOC, Southampton.
11. XU Tao, An Intelligent Navigation System for an Unmanned Surface Vehicle, PhD 2004-2007, Second Supervisor (Completed), Lecturer at Tianjin University China.
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Teaching
Includes subjects in the areas of mechanical, robotics, electrical and civil engineering. Modules taught in previous years:- Instrumentation and Control – Measurement principles, sensors and classical control techniques
- Robotics and Control – Neural network training on practical data to model the robotic system and then design a fuzzy logic controller using Matlab/Simulink software packagesÌý
- Design and CAD – Solidworks for design and analysis of mechanical components
- Advanced Information Technology – wavelet techniques for data mining and error analysis on GPS data using wavelet toolbox in Matlab
- Marine System Engineering – Torsional and vibrational analysis of marine systems
- Electrical Principles – Basic electrical circuit theorems for DC and AC circuits
- Simulation of dynamic systems – Simulation study of the acceleration of a real car system using Matlab/Simulink
- Wave energy Converters and Power Take off - Optimum condition for power transfer and electrical analogy of the mechanical system, impedance matching conditions for maximum power transfer
- Intelligent systems control – Theory of neural networks and backpropagation training algorithm and application for modelling and control
