Sanjay Sharma

Dr Sanjay Sharma - ()

Job title: Lecturer in Intelligent Autonomous Control Systems, School of Marine Science and Engineering (Faculty of Science and Technology)
Address: Room 025, Reynolds, Drake Circus,
Plymouth, Devon, PL4 8AA
Telephone: +441752586147
Facsimile: +44 (0)1752 232638
Email: sanjay.sharma@plymouth.ac.uk

Role

Year II BEng Mechanical tutor

Member of the Racial and Equality committee, Plymouth University

Member of Racial and EqualityCommittee, Plymouth University

Member of International Recruitment Committee, Plymouth University

Member of Departmental EthicsCommittee, Plymouth University

Head of the Marine and Industrial Dynamic Analysis (MIDAS) Research Group, Plymouth University

Qualifications & background

1) Postgraduate Certificate in Higher Education Teaching

(PGCHET) course, Queen’s University Belfast, 2004.

2) PhD degree in Systems and Control Engineering,

University of Sheffield, 2000.

3) Master of Technology degree with distinction in

Electrical Engineering, Institute of Technology- BHU

(IT-BHU), India, 1992.

4) Bachelor of Technology (Hons.) degree with distinction

in Electrical Engineering, Indian Institute of

Technology (IIT), India, 1990.

Professional membership

MILT

Roles on external bodies
Board Memberof IMechE MECHATRONICS, INFORMATICS & CONTROL GROUP (MICG)

IMechE representative for UKACC
Member of IFAC TC 7.5 on Intelligent Autonomous Vehicles

Teaching interests

Fuzzy logic, neural networks, genetic algorithms.

Staff serving as external examiners
Emrys Jones, Adaptive Roll Stabilisation of Fishing Vessels, External examiner for Newcastle PhD (Nov 2009).

Research interests

Current research activities include using soft computing components (i.e. neural networks, fuzzy logic and evolutionary computations) in optimisation, parallel computing for neural and local modelnetwork training, genetic search optimisation through fuzzy logic, combing the features of genetic algorithms with genetic programming, evolutionary approach to multiple-modelling and control to non-linear systems, genetic approach to multivariate statistical process control, artificial intelligence and expert systems. Use of genetic algorithms, fuzzy logic and neural networks for modelling and the design of novel control systems for industrial and marine plant particularly for wave energy devices and uninhabited marine vehicles for both surface and underwater operations.

UoP Research group membership

Advanced Materials and Engineering Systems
Marine and Industrial Dynamic Analysis (MIDAS)

Research degrees awarded to supervised students

XU T, An Intelligent Navigation System for an Unmanned SurfaceVehicle. PhD 2004-2007. Full-time study.

Grants & contracts
• TSB - Offshore Wave Energy Limited Marine Demonstrator (Optimal Control Strategy for IT Power’ OWEL WEC) £2.5M (UoP £47K, 2010 – 2013)
• ESF-CUC PhD studentship, £60K
• EPSRC Grant EP/I012923/1 An Intelligent Integrated Navigation and Autopilot System for Uninhabited Surface Vehicles £354K, 2011-2014.
• Graduate research scholarship funding for one PhD
• Two self-funded PhDs
• KTP - Sharma SK and Summerscales J. "To design and manufacture a state of the art resin processing control and delivery system to manufacture composite materials predominantly for the aerospace industry" KTP grant, Oct 2007, £111,672, (over 2 years)
• Recipient of the Vice-Chancellor’s Research and Innovation Fellowship Award, 2007, Plymouth University, £4000.

Publications
Journal Papers:

1. Sharma S, Naeem W and Sutton R, “An Autopilot Based on a Local Control Network Design for an Unmanned Surface Vehicle” The Journal Of Navigation, 65, 1–21. © The Royal Institute of Navigation, doi:10.1017/S0373463311000701, 2012.
2. Sharma S, Sutton R and Irwin G, “Dynamic Evolution of the Genetic Search Region through Fuzzy Coding” Engineering Applications of Artificial Intelligence (EAAI), Elsevier Publication, doi:10.1016/j.engappai.2011.09.024, 2011.
3. Sutton R, Sharma S and Xu T, “Adaptive navigation systems for an unmanned surface vehicle”, Proceedings of IMarEST - Part A - Journal of Marine Engineering and Technology, vol. 10, no. 3, pp. 3-20, September 2011.
4. Roper D, Sharma S, Sutton R and Culverhouse P, “A review of developments towards biologically inspired propulsion systems for autonomous underwater vehicles”, Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, vol. 225, no. 2, pp. 77-96, 2011.
5. Xu T, Sutton R and Sharma S, “A Multi-sensor data fusion navigation system for unmanned surface vehicle”, IMechE Part M Journal of Engineering for the Maritime Environment, Vol 221, No. M4, pp. 167-186, 2007.
6. Sharma S and Irwin G “Fuzzy Coding of Genetic Algorithms”, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 4, pp. 344-355, 2003.
7. Sharma S, Irwin G, Tokhi M and McLoone S "Learning Soft Computing Control Strategies in a Modular Neural Network Architecture", Engineering Applications of Artificial Intelligence (EAAI), Elsevier Publication, Vol. 16, Issue 5-6, pp. 395-405, 2003.
8. Sharma S, McLoone S and Irwin G “Genetic Algorithms For Local Controller Network Construction”, IEE Proc. Control Theory & Application, 152, 5, pp. 587-597, 2005.
9. Sharma S, Kruger U and Irwin G " Deflation Based Nonlinear Canonical Correlation Analysis", Journal of Chemometrics and Intelligent Laboratory Systems, Vol 83, Issue 1, Pages 34-43, 2006.
10. Li K, Yu W, Yang S and Sharma S "Editorial, Special Issue on Evolutionary Algorithm & Advanced Learning System" International Journal of Information Technology, vol. 11, no. 10, 2005.

Book Chapters:

1. Sharma S, Siddique M, Tokhi M and Irwin G “Soft-computing approaches for control of flexible manipulators”, in Flexible Robot Manipulators – TOKHI, M. O. and AZAD, A. K. M. (2008). Flexible robot manipulators – Modelling, simulation and control, The Institution of Engineering and Technology, Stevenage, UK. ISBN: 978-0-86341-448-0.

Conference Papers:

1. Roper D, Sharma S, Sutton R and Culverhouse P, “Energy Based Gait Control of an Under Actuated Robotic Fish”, The 14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR2011), UPMC University, Paris, Sep 6-8, 2011, pp. 135-141.
2. Roper D, Sharma S, Sutton R and Culverhouse P, “A Harmonic Energy Based Gait Production Strategy for an Underactuated Robotic Fish”, 2011 UK Marine Technology Postgraduate Conference (UK MTPC 2011), University of Southampton, 9-10 June 2011 (UK MTPC 2011 RINA Prize for best presentation).
3. Sharma S, Sutton R and Khanguda M, “Biomimicry Methodologies for the Design of a Guidance System for Un-manned Surface Vehicles”, 2008 International Conference on Intelligent Computing Engineering (ICE08), Plymouth, UK, 2nd – 4th July 2008, pp. 138-146 (CDROM).
4. Khan S, Naeem W, Sutton R and Sharma S, “Application of Soft Computing Techniques to a LQG Controller Design”, 2008 International Conference on Advanced Design and Manufacture (ICADM 2008), Sanya China, 14 – 16th January 2008 (CDROM), also in Chapter 1 Simulation and Virtual Reality Enabled Design and Manufacture Analysis of Advanced Design and Manufacture to Gain a Competitive Edge Springer London, ISBN: 978-1-84800-240-1 (Print) 978-1-84800-241-8 (Online) http://www.springerlink.com/content/978-1-84800-240-1?sortorder=asc&p_o=10.
5. Sharma S, Irwin, G and Sutton R, "Fuzzy Logic for Priority Based Genetic Search in Evolving a Neural Network Architecture", 2007 IEEE Congress on Evolutionary Computation (CEC 2007), paper no. 1277 (CD-ROM), pp. 1648-1653, Singapore, Sept 25-28, 2007.
6. Sharma S, McLoone S and Irwin G “Genetic Algorithms For Simultaneous Identification Of Local Operating Regimes And Local Controller Network Design”, UKACC Control 2004, University of Bath, U.K. 6-9 September 2004 (Accepted).
7. Kruger U, Sharma S and Irwin G “Improved Nonlinear Canonical Correlation Analysis Using Genetic Strategies”, UKACC Control 2004, University of Bath, U.K. 6-9 September 2004 (Accepted).
8. Sharma S, Kruger U, Irwin G. and Kumar S “A Covariance-Based Nonlinear Partial Least Squares Algorithm”, UKACC Control 2004, University of Bath, U.K. 6-9 September 2004 (Accepted).
9. Sharma S, Kruger U, Irwin G "Genetic Learning Methods For Enhanced Non-Linear Partial Least Squares Modelling", Preprints of the IFAC International Conference on Intelligent Control Systems and Signal Processing, Faro, Portugal, pp. 37-42, April 8-12, 2003.
10. Sharma S, McLoone S and Irwin G “Genetic Algorithms For Local Model and Local Controller Network Design”, Proceedings of IEEE American Control Conference, Alaska, May 8-10, 2002, PaperID ACC02-IEEE1255.
11. Sharma S, Irwin G and McLoone S "Optimal construction of local model networks using genetic algorithms", Proc. IFAC Conference on Emerging Computing Technologies, Hong Kong, Nov. 2001, pp. 590-595.
12. Sharma S, McLoone S and Irwin G "Genetic learning for construction and parameter identification of local model networks", CDROM Proc. European Control Conference, 4-7 Sept, 2001, Porto, Portugal, pp. 3671-3674.
13. Sharma S and Tokhi M "Dynamic modelling of a flexible manipulator", Proceedings of 2000JUSFA: ASME 2000 Japan-USA Symposium on Flexible Automation, Michigan, USA, 23-26 July 2000.
14. Tokhi M and Sharma S "Soft computing active control", Proceedings of ICSV7: Seventh International Congress on Sound and Vibration, Garmisch-Partenkirchen, Germany, 4-7 July 2000, 1, pp. 483-490.
15. Sharma S and Tokhi M "Optimal neural network trajectory control of a flexible robotic arm", Proceedings of EIS2000: Second International ICSC Symposium on Engineering of Intelligent Systems, Paisley, U.K, 27-30 June 2000, paper no.1303-051.
16. Sharma S and Tokhi M "Genetic learning for direct inverse neural network control", IEE digest no. 00/069. Colloquium on Learning Systems for Control, Birmingham, UK, 26 May 2000, pp. 6/1-6/4.
17. Sharma S and Tokhi M "Neural network optimisation using genetic algorithm: A hierarchical fuzzy method", Proceedings of AARTC00: 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control, Palma de Mallorca, Spain, 15-17 May, 2000, pp. 71-76.
18. Sharma S and Tokhi M "Genetic evolution: A dynamic fuzzy approach", Proceedings of FUZZ IEEE 2000: IEEE International Conference on Fuzzy Systems, Texas, USA, 07-10 May 2000, 2, pp. 748-752.
19. Sharma, S and Tokhi M (1999). "Intelligent neuro-fuzzy systems", Proceedings of the 6th UK Workshop on Fuzzy Systems, Uxbridge, UK, pp. 173-192.

Reports & invited lectures
KTN - Autonomous Systems / Vehicles Workshop - 31 May 2011, Venue: One America Square, London EC3N 2LB

Conferences organised

· Member of the OrganisingCommittee for the Irish Signals and Systems Conference 2004, Queen’s Universityof Belfast, Northern Ireland, 30^th June- 2^nd July 2004.

· Member of the InternationalProgramme Committee for the IFAC International Conference on IntelligentControl Systems and Signal Processing (ICONS 2003), University of Algarve,Faro, Portugal, 2003.

· Organised and chaired two specialsessions on Advances in Learning for Soft Computing Systems I & II at IFACInternational Conference on Intelligent Control and Signal Processing (ICONS2003), University of Algarve, Faro, Portugal, 2003.

· Member of the InternationalProgramme Committee for the International Conference on Software, Knowledge,Information Management and Applications (SKIMA), Kathmandu, Nepal, 18-21 March2008.

· Member of the InternationalProgramme Committee for the 14th International Conference on Climbing andWalking Robots and the Support Technologies for Mobile Machines (CLAWAR2011), Paris,September 6-8, 2011 at UPMC University. Chaired special session on Biologicallyinspired systems and solutions

Other academic activities

Teaching Activity:

· Instrumentation and Control

· Robotics and Control

· Design and CAD

· Advanced InformationTechnology

· Marine System Engineering

· Wave energy Converters andPower Take off