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Associate Professor Adam Osseiran

Associate Professor

Contact Information Telephone: +61 8 6304 5752, Mobile: 0422 667 624, Email: a.osseiran@ecu.edu.au, Campus: Joondalup, Room: JO5.228
Staff Member Details
Telephone: +61 8 6304 5752
Mobile: 0422 667 624
Email: a.osseiran@ecu.edu.au
Campus: Joondalup  
Room: JO5.228  

 

Biography

Adam Osseiran received a B.Sc. degree in 1981 and a M.Sc. degree in 1983 both in Electrical Engineering from the University of Joseph Fourier in Grenoble-France, and a PhD degree in microelectronics in 1986 from the National Polytechnic Institute of Grenoble (INPG). He then joined EPFL (Swiss Federal Institute of Technology in Lausanne) as a Research Fellow, after which he became Professor at the School of Engineering of Geneva until 2000. He later joined a US advanced technology company as the European representative. In September 2002, Dr. Osseiran joined ECU and became the Director of the National Networked Teletest Facility, an Australian Major National Research Facility.

From 2000 to 2005 he was the Chair of the International Working Group of the IEEE Std 1149.4 Mixed-Signal Test Bus Standard. Adam received seven certificates of appreciation, a Continuing Service Award and a Meritorious Service Award from the IEEE and the Computer Society for his contributions and numerous services to the engineering community. Adam Osseiran holds seven patents in the field of design of CMOS structure dedicated to optoelectronics image sensors for automotive applications, systems and sensors for environmental monitoring and in the field of display architecture. He was the Editor of “Analog and Mixed-Signal Boundary-Scan, A guide to the IEEE 1149.4 Test Standard”, published by Kluwer Academic Publisher. He is the co-editor of a book entitled “VLSI-SOC: From Systems to Silicon” published by Springer Publisher. In 2018 he won the WA Innovator of the Year Award.

Research Areas and Interests

  • Neuromorphic and Artificial Intelligent Systems
  • Intelligent Sensors
  • Electronic Embedded and Integrated Systems
  • Built-in Self-Test integrated devices
  • Automation and Robotics

Qualifications

  • PhD, France.

Research

Recent Research Grants

  • Enhanced Tele-operation for improved control of Autonomous Field Robots in Challenging Environments,  Defence Science and Technology Group of the Department of Defence,  Industry Engagement Scholarship to support PhD projects,  2019 - 2023,  $35,000.
  • The Noisy Guts Project,  University of Western Australia,  McCusker Charitable Foundation,  2017 - 2018,  $40,000.
  • Development of a Call Detector for the Asian House Gecko (hemidactylus frenatus),  CRC for National Plant Biosecurity,  Grant - CRC NPB,  2012 - 2015,  $165,537.
  • Wireless sensing in forests for the detection and monitoring of biosecurity hazards and forest fires,  Nortel Networks,  Grant - Development,  2011 - 2013,  $25,000.
  • Pilot study for the development of a call detector for the Asian House Gecko (Hemidactylus Frenatus),  CRC for National Plant Biosecurity,  Grant - CRC NPB,  2012,  $88,948.
  • Integrated Multi-sensor System for In-Car Security,  Omiron Corporation Pty Ltd,  Grant,  2007 - 2011,  $60,435.
  • European House Borer Early Detection System using Acoustic Sensors and a Wireless Sensor Network,  Edith Cowan University,  ECU Industry Collaboration - Grant,  2009 - 2010,  $88,000.
  • ENAR Insurance In-Car Integrated Multi-Sensor System,  Omiron Corporation Pty Ltd,  Grant,  2008 - 2009,  $57,721.
  • LiveLens,  Live Technologies Ltd,  Grant,  2007 - 2009,  $122,176.
  • WA Centre of Excellence for Microphotonic Systems,  Department of Mines and Petroleum,  Centre of Excellence,  2004 - 2009,  $7,314,970.
  • Modelling, Simulation and Prototype Fabrication to Characterise the Light Path Through Integrated Circuit Liquid Crystal On Silicon (LCOS) Structure,  Edith Cowan University,  ECU Industry Collaboration - Grant,  2008 - 2009,  $66,000.
  • Spectral reflectance characterisation of weed and crop species for waveband optimisation of a novel MicroPhotonic weed sensor,  Edith Cowan University,  ECU Industry Collaboration - Grant,  2005 - 2006,  $55,000.
  • National Networked Tele-Test Facility for Integrated Systems (NNTTFIS),  AusIndustry,  Grant - Major National Research Facilities (MNRF),  2002 - 2006,  $10,539,000.

Recent Publications (within the last five years)

Journal Articles

  • Du, X., Allwood, G., Webberley, KM., Inderjeeth, A., Osseiran, A., Marshall, BJ., (2019), Non-invasive diagnosis of irritable bowel syndrome via bowel sound features: proof of concept. Clinical and Translational Gastroenterology, 10(3), 9 pages, Wolters Kluwer, P.O. Box 1030, 2400 BA, Alphen aan den Rijn, The Netherlands, Wolters Kluwer, DOI: 10.14309/ctg.0000000000000017.
  • Osseiran, A., Vanarse, A., Rassau, A., (2019), Neuromorphic Engineering – A Paradigm Shift for future Instrumentation and Measurement Technologies. IEEE Instrumentation and Measurement Magazine, 22(26 March 2019), 6, New Jersey, EEE Instrumentation and Measurement Society, DOI: 10.1109/MIM.2019.8674627.
  • Allwood, G., Du, X., Webberley, KM., Osseiran, A., Marshall, BJ., (2019), Advances in Acoustic Signal Processing Techniques for Enhanced Bowel Sound Analysis. IEEE Reviews in Biomedical Engineering, n/a(n/a), n/a, https://ieeexplore.ieee.org/document/8489940, IEEE, DOI: 10.1109/RBME.2018.2874037.
  • Vanarse, A., Osseiran, A., Rassau, A., (2019), Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks. Sensors, 19(8), 13, Basel - Switzerland, DOI: https://doi.org/10.3390/s19081841.
  • Du, X., Allwood, G., Webberly, K., Osseiran, A., Marshall, B., (2018), Bowel Sounds Identification and Migrating Motor Complex Detection with Low-Cost Piezoelectric Acoustic Sensor. Sensors, 18(12), Article no. 4240, Basel, Switzerland, MDPI, DOI: 10.3390/s18124240.
  • Du, X., Allwood, G., Webberley, K., Osseiran, A., Wan, W., Volikova, A., Marshall, B., (2018), A mathematical model of bowel sound generation. Journal of the Acoustical Society of America, 144(6), EL485-EL491, Acoustical Society of America, DOI: 10.1121/1.5080528.
  • Farhan, U., Tolouei Rad, M., Osseiran, A., (2017), Indexing and retrieval using case-based reasoning in special purpose machine designs. International Journal of Advanced Manufacturing Technology, 92(5-8), 2689-2703, London, Springer-Verlag London, DOI: 10.1007/s00170-017-0274-5.
  • Vanarse, A., Osseiran, A., Rassau, A., (2017), An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems. Sensors, 17(11), Article number 2591, Basel, Switzerland, MDPI, DOI: 10.3390/s17112591.
  • Farhan, U., Tolouei Rad, M., Osseiran, A., (2017), Enhancing the reconfigurability of special purpose machine tools using mechanical module interfaces. Journal of Achievements in Materials and Manufacturing Engineering, 85(2), 56-66, Poland, International OCSCO World Press, DOI: 10.5604/01.3001.0010.8035.
  • Farhan, U., Tolouei Rad, M., Osseiran, A., (2017), Assembly modelling approach for special purpose machines. Assembly Automation: the international journal of assembly technology and management, 38(2), 158-172, Emerald Publishing Limited, DOI: 10.1108/AA-12-2016-170.
  • Farhan, U., Tolouei Rad, M., Osseiran, A., (2016), Use of AHP in decision-making for machine tool configurations. Journal of Manufacturing Technology Management, 27(6), 874-888, Bingley, UK, Emerald Group Publishing Ltd., DOI: 10.1108/JMTM-02-2016-0028.
  • Vanarse, A., Osseiran, A., Rassau, A., (2016), A review of current neuromorphic approaches for vision, auditory and olfactory sensors. Frontiers in Neuroscience, 10(MAR), Article no. 115, Zurich, Switzerland, Frontiers Research Foundation, DOI: 10.3389/fnins.2016.00115.

Research Student Supervision

Principal Supervisor

  • Master of Engineering Science,  A JITTERED SAMPLING CORRECTION TECHNIQUE FOR ADCS
  • Master of Engineering Science,  ACOUSTIC WIRELESS SENSING FOR ENVIRONMENTAL MONITORING
  • Master of Engineering Science,  INTERFACING OF NEUROMORPHIC VISION, AUDITORY AND OLFACTORY SENSORS WITH DIGITAL NEUROMORPHIC CIRCUITS

Associate Supervisor

  • Doctor of Philosophy,  AN INTEGRATED SYSTEM TO DESIGN MACHINE LAYOUTS FOR MODULAR SPECIAL PURPOSE MACHINES
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