Prof. Romesh Nagarajah   Professor of Mechanical Engineering

Professional Memberships

• CEng
• FIMechE
• FIEAust
• MIEE

Research Interests

• Robot System Design
• Intelligent Manufacturing Systems
• Non-Contact Inspection

Lecturing Fields

• Robotics
• Non-Contact Inspection Technologies
• Sensor Technologies
• Expert Systems and Artificial Intelligence

Industrial Research and Other Experience

• 30 Years International Experience in Manufacturing Engineering Practice and Research

Supervision of higher degree by research (HDR) (Current students)

Name	Degree	Research Centre	Start year	Role	Institution
Edin Terzic	PhD	IRIS	2007	Primary Supervisor	Swinburne
Samaranath (Ravi) Ranatunga	Adaptive Fuzzy Systems for Intelligent Vehicle Control
	PhD	IRIS	2007	Primary Supervisor	Swinburne
Raja Zuraida Raja Mohd Rasi	PhD	Faculty	2008	Associate Supervisor	Swinburne
Saad Bin Abul Kashem	PhD	IRIS	2009	Primary Supervisor	Swinburne
Steven McAtee	MEng	IRIS	2009	Primary Supervisor	Swinburne
Manasa Kesharaju	PhD	IRIS	2010	Primary Supervisor	Swinburne
Timothy Barry	PhD	IRIS	2011	Primary Supervisor	Swinburne

Previously Supervised higher degree by research (HDR) students

Name	Degree	Research Centre	Status	Role	Institution
Jenny Terzic	PhD	IRIS	Completed	Primary Supervisor	Swinburne

Topics for Prospective Ph.D Students - View ALL topics for Prof. Romesh Nagarajah

Object Recognition in Industrial Environments


Ultrasonic Sensor Based Defect Detection & Characterisation of Composite Structures


Artificial Intelligence Approach to Zero Defect Manufacturing
This research involves the use of artificial intelligence tools, specifically neural networks and support vector machines in the identification of patterns in process control charts for purposes of eliminating defects in products manufactured using discrete manufacturing processes.

Ultrasonic Inspection System for Sub-surface Defect Identification
This project involves investigation of ultrasonic sensing approaches and use of various artificial intelligence tools to analyse ultrasonic signals to characterise porosity type defects in aluminium castings with varying grain size.

Development of Non Destructive Assessment of Concrete Infrastructure Using Ultrasonic Methods
This research will investigate the potential for using ultrasonic sensing methods in combination with the latest advancements in data mining techniques to extend the life of concrete structures.

Free Space Metal Deposition
Additive manufacturing is a rapidly growing field of research. Free space metal deposition is the latest of these technologies and allows metal to be deposited in free space.

The process is in its infancy and someone with a mechanical engineering background that has an interest in materials would be in a prime position to develop the technology further during the course of a PhD.

Process control of laser additive manufacturing for improved material quality
This is a new approach to process control in additive manufacture utilising process monitoring of temperature and shape through infrared emissivity measurements and CCD cameras respectively to develop relationships between melt pool temperature, melt pool shape and the resulting mechanical properties of simple builds.

Books

1. E. Terzic, J. Terzic, C.R. Nagarajah, M. Alamgir, A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments, Springer-Verlag, London, 2012

Recent Patents

1. Distributed Temperature Sensor Using Optical Reflectometry (International Patent Application No. PCT / AU2003 / 001280), CRC-IMST
2. Hole Detector (Australian Patent Application No. PP8349), Fleetguard International Corporation
3. Perforation Detection Method (International Patent Application PCT / AU01 / 00378) Chubpak Australia Pty. Ltd.
4. Method of Detection of Misformed Package Sealing Clips (International Patent Application No. PCT / AU01 / 00394) Chubpak Australia Pty. Ltd.
5. Measuring Forces in Athletics (European Patent Reference No. 04761434.2) CRC-Microtechnology
6. Measuring Forces in Athletics (International Patent Application No. PCT / AU2004 / 001407) CRC-Microtechnology
7. Method of Classifying Defects (International Patent Application No. PCT / AU2004 /000379) CRC-IMST
8. Fault Detection Apparatus (International Patent Application No. PCT / AU99 / 00291) CRC-IMST

Recent Publications

1. Terzic, E., Nagarajah, C.R., Alamgir, M., 'A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments', Mechatronics, Vol : 21, pp. 145-155, 2011
2. T.J. Barry, C.R. Nagarajah, “Object Recognition in Industrial Environments Using Support Vector Machines and Artificial Neural Networks”, International Journal of Advanced Manufacturing Technology, Vol : 48, pp. 815–821, 2010
3. Terzic, J., Nagarajah, C.R., Alamgir, M., “Fluid Level Measurement in Dynamic Environment Using a Single Ultrasonic Sensor and Support Vector Machines”, Sensors & Actuators: A. Physical, Vol : 161, No : 1-2, pp. 278 - 287, 2010
4. Terzic, E., Nagarajah, C.R., Alamgir, M., “Capacitive Sensor Based Fluid Level Measurement in a Dynamic Environment Using Neural Network”, Engineering Applications of Artificial Intelligence, Vol : 23, No : 4, pp. 614-619, June 2010
5. Terzic, E., Nagarajah, C.R., Alamgir, M., “A Neural Network Approach to Fluid Level Measurement in Dynamic Environments Using a Single Capacitive Sensor”, Sensors & Transducers Journal, Vol. 114, No. 3, March 2010
6. Barry, T., Nagarajah, C.R., “Object Recognition in Industrial Environments using Support Vector Machines and Artificial Neural Networks”, International Journal of Advanced Manufacturing Technology, Published Online September 2009.
7. Terzic, J., Nagarajah, C.R., Alamgir, M., “Accurate Fluid Level Measurement in Dynamic Environment Using Ultrasonic Sensor and v-SVM”, Sensors & Transducers Journal, Vol. 109(10), pp 76-91, 2009.
8. Palanisamy, S. , Nagarajah, C.R., Graves, K., Iovenitti, P., “A Hybrid Signal Pre-processing Approach in Processing Ultrasonic Signals with Noise”, International Journal of Advanced Manufacturing Technology, Vol. 42, pp 766-771,2009
9. Graves, K.E., Nagarajah, C.R., Stoddart, P., “Analysis of Structured Highlight Stereo Imaging for Shape Measurement of Specular Objects”, Optical Engineering, Vol. 46(8), 083601, August 2007. Also linked to in the September 2007 issue of Virtual Journal of Ultrafast Science at http://www.vjultrafast.org.
10. Billing, D. C., Hirano, Y., Nagarajah, C.R., Hayes, J.P., Baker, J., Lai, A., “A Technique for the Prediction of Continuous Three Orthogonal Component Ground Reaction Force Records in Running”, Medicine & Science in Sports & Exercise, Vol. 39(5) supp., pp S474, May 2007.
11. Palanisamy, S., Nagarajah, C.R., Iovenitti, P., “Ultrasonic Inspection on Rough Surface Aluminium Die Castings”, Insight, Vol. 49(3), pp. 1-5, March 2007.
12. Hong, K., Nagarajah, C.R., Iovenitti, P., Dunn, M., “A Sociotechnical Approach to Achieve Zero Defect Manufacturing of Complex Manual Assemblies”, Journal of Human Factors and Ergonomics in Manufacturing, Vol. 17(2), pp. 137-148, 2007.
13. Graves, K.E., Nagarajah, C.R., “Uncertainty Estimation using Fuzzy Measures for Multi-Class Classification”, IEEE Transactions on Neural Networks, Vol. 18(1), pp. 128-140, January 2007.
14. Billing, D.C., Nagarajah, C.R., Hayes, J.P., and Baker, J., “Predicting Ground Reaction Forces in Running using Micro-Sensors and Neural Networks”, Journal of Sports Engineering, April 2006.
15. Palanisamy, S., Nagarajah, C.R., Iovenitti, P., “Effects of Grain Size and Surface Roughness on Ultrasonic Inspection of Aluminium Alloy Die Castings”, Journal of Materials Evaluation, Vol. 63(8), pp. 832-836, 2005.
16. Stoddart, P.R., Cadusch, P.J., Pearce, J.B., Vukovic, D., Nagarajah, C.R., Booth, D.J., “Fibre Optic Distributed Temperature Sensor With An Integrated Background Correction Function”, Journal of Measurement Science and Technology, Vol. 16, pp. 1299-1304, 2005.
17. Billing, D.C., Hayes, J.P., Baker, J., Nagarajah, C.R., “Predicting the Anterior-Posterior Component of Ground Reaction Force from Wearable Instrumentation”, 28th Annual Conference of the American Society of Biomechanics, Portland, USA, September 2004, pp.50-51.
18. Billing, D.C., Hayes, J.P., Nagarajah, C.R., Baker, J., “Prediction of Ground Reaction Forces in Running Using Unobtrusive On-athlete Instrumentation in Conjunction With Non-linear and Linear Models”, The Engineering of Sport 5, Vol. 2, pp. 255-261, 2004.
19. Sabawi, R, Bentley, K., Brandt, M., Nagarajah, C.R., “Monitoring Laser Welding of Steels”, 9th International Conference on Manufacturing Excellence, Melbourne, Victoria, October, 2003.
20. Billing, D.C., Filipou, V., Hayes, J.P., Nagarajah, C.R., James, D.A., “Development and Application of a Wireless Insole Device for the Measurement of Human Gait Kinematics”, World Congress on Medical Physics and Biomedical Engineering, August, 2003, Melbourne, Victoria.
21. Palanisamy, S., Nagarajah, C.R., Iovenitti, P., “Automated Ultrasonic Classification of Defects in Aluminium Die Castings”, Transactions of the 22nd International Die Casting Congress, pp. 93-100, 2003, Indiana, USA.
22. Palanisamy, S., Nagarajah, C.R., Iovenitti, P., “Ultrasonic Inspection of Sub-surface Defects in Aluminium Die-Castings”, Non Destructive Testing Australia, Vol. 39, No. 5, pp. 130-132, 2002.
23. Jolic, K.I., Nagarajah, C.R., Iovenitti, P., “Method for Detecting Misformed Clips in Packaging”, Journal of Measurement Science and Technology, Vol. 12, pp. 1865 – 1874, 2001.
24. Iovenitti, P., Mutapcic, E., Nagarajah, C.R., “Positioning and Orienting Drill Axis on Curved Surfaces”, International Journal of Advanced Manufacturing Technology, Vol. 17, pp. 484–488, 2001.
25. Jolic, K.I., Nagarajah, C.R., Iovenitti, P., “A Non Destructive Technique for Detecting Pinholes in Hermetically Sealed Flexible Packaging”, Journal of Measurement Science and Technology, Vol. 11, pp. 1396–1402, 2000.
26. Vukovic, D., Nagarajah, C.R., Toncich, D., Chowdary, F., “Thermochromic Liquid Crystal Based Sensing System for Analysis of Air Flow”, Journal of Measurement, Vol. 27, pp. 101–109, 2000.
27. Douglas, P., Nagarajah, C.R., Iovenitti, P., “Design and Error Analysis of a Surface Reflector for a Laser Tracking Measurement System”, Journal of Measurement, Vol. 26, pp. 167–178, 2000.
28. Zeng, M., Nagarajah, C.R., Iovenitti, P., “Accuracy of Laser Displacement Sensors in 3D Surface Digitising”, 8th International Conference in Manufacturing Engineering, Sydney, Australia, August, 2000.
29. Stefani, S.A., Nagarajah, C.R., Wilgoss, R., “A Surface Inspection Technique for Continuously Extruded Cylindrical Products”, Journal of Measurement Science and Technology, Vol. 10, pp. 21–25, 1999.
30. Shi, W., Iovenitti, P., Nagarajah, C.R., “Expert System for Multi Diameter Drill Selection : An Embedded Knowledge Base Approach”, International Journal of Advanced Manufacturing Technology, Vol. 15, pp. 1–6, 1999.