Dr Hamid Gholamhosseini

Dr. Hamid GholamHosseini

Associate Professor of Biomedical Engineering

Phone: +64 9 921 9999 # 8755

Email: hgholamh@aut.ac.nz

Physical Address:
AUT University
WU Building, Level 3
Wakefield Street
Auckland Central
Auckland



Postal Address:

Auckland University of Technology
School of Engineering, Computer and Mathematical Sciences
Private Bag 92006
Auckland 1142
Auckland



Qualifications:

  • PhD, School of Informatics and Engineering, Flinders University, Australia 
  • MSc in Electrical and Electronic Engineering, Tehran University, Iran

Memberships and Affiliations:

  • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
  • Chapter chair of the IEEE Engineering in Medicine and Biology Society
  • Member of Australasian Association for Engineering Education

Teaching Areas:

  • Digital Signal Processing
  • Digital Systems Design
  • Telecommunications Technology Principles
  • Digital Embedded Systems
  • Biomedical Signal and Image Processing
  • Supervision of Masters and PhD students

Research Areas:

  • Biomedical signal and image processing   
  • Smart patient monitoring systems
  • Embedded and reconfigurable systems
  • Eletronic nose, odour reproduction and it's application to teleolfaction

Current Research Projects:

  • Vital Signs Monitoring and Decision Support System
  • Cuffless Blood Pressure Measurement
  • Smart Patient Monitoring System
  • Early Diagnosis of Melanomas and Skin Cancer
  • Portable Embedded Vision System for Medical Imaging
  • Road Texture Measurement by Image Processing and Computer Vision Method

Publications:

Book and Book Sections

Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2016). Tablet-based clinical decision support system for hospitalised older adults. In Active and Assisted Living: Technologies and Applications. CH 16, p.p 311-326. IET Publishing. ISBN: 978-1-84919-987-2. Available at: http://www.theiet.org/resources/books/healthcare/acassliving.cfm

Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). mHealth Monitoring Systems for Hospitalised Older Adults - Current Issues and Challenges. In S. Adibi (Ed.), Mobile Health (mHealth): The Technology Road Map USA: Springer, Volume 5, 2015, pp 299-317

http://link.springer.com/chapter/10.1007/978-3-319-12817-7_14

Sabouri, P., GholamHosseini, H., & Collins, J. (2014). Border Detection of Skin Lesions on a Single System on Chip. In Y.-M. Huang, H.-C. Chao, D.-J. Deng, & J. J. Park (Eds.), Advanced Technologies, Embedded and Multimedia for Human-centric Computing (Vol. 260, pp. 465-471): Springer Netherlands.

http://dx.doi.org/10.1007/978-94-007-7262-5_53

GholamHosseini, H., “Automated Diagnosis of Heart Arrhythmias: Towards a clinically useful computer-aided diagnosis system for heart rhythm abnormalities”, 344 pages. LAP Lambert Academic Publishing, 12 Sep 2012.  ISBN-10: 384433209X
http://www.amazon.com/Automated-Diagnosis-Heart-Arrhythmias-computer-aided/dp/384433209X


Kang, H. S., Lee, K. S., GholamHosseini, H., “A Practical Approach for Calibration of Omnidirectional Stereo Cameras,” Book Chapter, Lecture Notes in Computer Science, 2010, Volume 6474, Advanced Concepts for Intelligent Vision Systems, Springer Berlin / Heidelberg. 6474: 300-308, 2010.

Refereed Journal Articles (Since 2006)

Baig, M. M., GholamHosseini, H., & Connolly, M. J., “Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs,” Journal of Aging Clinical and Experimental Research, 28(6), pp. 1159-1168, December 2016. http://link.springer.com/article/10.1007/s40520-015-0510-5

doi: 10.1007/s40520-015-0510-5

 Afifi, S., GholamHosseini, H., & Sinha, R. (2016). Hardware Acceleration of SVM-Based Classifier for Melanoma Images. In F. Huang & A. Sugimoto (Eds.), Image and Video Technology – PSIVT 2015 Workshop, Auckland, New Zealand, November 23-27, 2015. Revised Selected Papers in Volume 9555 of the series Lecture Notes in Computer Science (pp. 235-245). Cham: Springer International Publishing. Retrieved from http://dx.doi.org/10.1007/978-3-319-30285-0_19. doi:10.1007/978-3-319-30285-0_19

 Sara Abbaspour, Ali Fallah, Maria Linden, Hamid Gholamhosseini, “A Novel Approach for Removing ECG Artifacts from Surface EMG Using a Combined ANFIS and Wavelet,” Journal of Electromyography and Kinesiology, 26, 52-59, 2016

doi:http://dx.doi.org/10.1016/j.jelekin.2015.11.003

Gholamhosseini H., Meintjes A., Baig M. M., Lindén, M., “Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time”, Stud Health Technol Inform. 2016;224 84-89. PMID: 27225558.

http://www.ncbi.nlm.nih.gov/pubmed/27225558?dopt=Abstract

http://ebooks.iospress.nl/volume/phealth-2016-proceedings-of-the-13th-international-conference-on-wearable-micro-and-nano-technologies-for-personalised-health-29ndash31-may-2016-heraklion-crete

Baig, M. M., GholamHosseini, H., & Connolly, M. J., “Multiple Physical Signs Detection and Decision Support System for Hospitalised Older Adults,” Physiological Measurement, 36(10), 2069-2088, 2015.

http://www.ncbi.nlm.nih.gov/pubmed/26289926

Jiehong Lin, Yunlong Sun, Dehan Luo, Hamid GholamHosseini, Hemao Yang. An Embedded Platform for Odor Analysis of Chinese Herbal Medicines. Advances in Biomedical Engineering Research, 2016, 4(0), 12-17. doi: 10.14355/aber.2016.04.002.

Shereen Moataz Afifi, Hamid GholamHosseini and Roopak Sinha, “Hardware Implementations of SVM on FPGA: A State-of-the-Art Review of Current Practice,” IJISET - International Journal of Innovative Science, Engineering & Technology, 2(11), 733-752, November 2015

http://ijiset.com/vol2/v2s11/IJISET_V2_I11_95.pdf

Baig, M. M., GholamHosseini, H., & Connolly, M. J., “Mobile healthcare applications: system design review, critical issues and challenges,” Australasian Physical & Engineering Sciences in Medicine, 38(1): 23-38, March 2015. doi:10.1007/s13246-014-0315-4

http://link.springer.com/article/10.1007%2Fs13246-014-0315-4

Baig M. M., Gholamhosseini H., Lindén, M. & Connolly M. J., “Review of vital signs monitoring systems – patient’s acceptability, issues and challenges,” Journal of Neuroscience and Biomedical Engineering, 2(1), 2-13. 2015. doi: 10.2174/2213385202999140820115756

Baig M. M., Gholamhosseini H., Connolly M. J., “Remote Patient Monitoring System: Evaluation of Medical Devices from Patients’ Perspective,” Journal of Health Care and Informatics Review Online, 2014, 18(1), pg 25-37, Published online at www.hinz.org.nz, ISSN 1174-3379, http://www.hinz.org.nz/uploads/file/Journal_Jul14/P25_Baig.pdf

Chen, H., Luo, D., GholamHossini, H., "A New Method for Classification of Chinese Herbal Medicines Based on Local Tangent Space Alignment and LDA”, International Journal of Computer and Information Technology, Vol. 03, Issue 05, pp. 1004-1010, September 2014.

http://www.ijcit.com/archives/volume3/issue5/Paper030521.pdf

Sabouri, P., GholamHosseini, H., and Collins, J., "Border Detection of Skin Lesions on a Single System on Chip (SoC)," Journal of Computers Vol. 25, No. 1, pp. 28 - 24, April 2014.
http://www.csroc.org.tw/journal/E_Published%20Vol_25_No_1.htm


GholamHosseini, H. (2014), "Bioelectronics and Medical Diagnositcs." J Biochips Tiss Chips 4(1): 107, doi: 10.4172/2153-0777.1000107, ISSN: 2153-0777 JBTC
http://omicsonline.org/open-access/bioelectronics-and-medical-diagnostics-2153-0777.1000107.pdf
 
Baig M. M., GholamHosseini H., Luo. D., “A Secure Wireless Telehealthcare Monitoring System and its Web Application,” Applied Mechanics and Materials, 541-542, pp. 1309-12, 2014.

doi:10.4028/www.scientific.net/AMM.541-542.1309

Dehan LUO, Yu SUN, Jiajun ZHUANG, H. GholamHosseini, “Classification of Hundred-grass-oil Samples Using E-nose,” Journal of Computational Information Systems 9: 7 (2013), 2659–2666.

Baig M. M., GholamHosseini H., Connolly M. J., “A comprehensive survey of wearable and wireless ECG monitoring systems for older adults,” Med Biol Eng Comput 51(5):485-495 May 2013.

Baig, M., M., GholamHosseini, H., Harrison, M. J., “Fuzzy Logic based Anaesthesia Monitoring Systems for the Detection of Absolute Hypovolaemia,” Journal of Computers in Biology and Medicine, vol. 43(6), pp. 683–692,

Baig, M., M., GholamHosseini, H., “Smart health monitoring systems: an overview of design and modeling”, J Med Syst 37(2):9898 Apr 2013.

Baig, M., M., GholamHosseini, H., Harrison, M. J., “Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre”, WSEAS TRANSACTIONS on CIRCUITS and SYSTEMS journal, Vol. 11, Issue, 1, 2012.http://www.wseas.org/multimedia/journals/circuits/2012/53-598.pdf

Kang, H. S., Lee, S. W., GholamHosseini, H., “Probability Constrained Search Range Determination for Fast Motion Estimation,” ETRI Journal, vol.34, no.3, pp. 369-378, June 2012.

GholamHosseini, H., Li, K., “Implementation of Transient Signal Detection Algorithms on FPGA,” International Journal of Computer Applications (IJCA), 41(12):42-45, March 2012.

Md. Saiful Islam1, Abbas Z. Kouzani1, Xiujuan J. Dai, Wojtek P. Michalski, and Hamid GholamHosseini, “Design and Analysis of a Multilayer Localized Surface Plasmon Resonance Graphene Biosensor,” Journal of Biomedical Nanotechnology, Vol. 8, No. 3, pp. 380-393, 2012.

Baig, M., M., GholamHosseini, H., Harrison, M. J., “Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre”, WSEAS TRANSACTIONS on CIRCUITS and SYSTEMS journal, Vol. 11, Issue, 1, 2012.

Baig, M., M., GholamHosseini, H., Kouzani, A., Harrison, M. J., “Anaesthesia Monitoring Using Fuzzy Logic,” Journal of Clinical Monitoring and Computing: Volume 25, Issue 5 (2011), Page 339-347.

Sabit, H., Al-Anbuky, A., GholamHosseini, H., “Data stream mining for wireless sensor networks environment: energy efficient fuzzy clustering algorithm”, International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 4, No. 4, pp. 383-397, 2011.

Sabit, H., Al-Anbuky, A., Gholam Hosseini, H., “Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling”, Procedia Computer Science 5 (2011) 106–114, 2011.

Chan-Hee Han, Si-Woong Lee, Hamid GholamHosseini, and Yun-Ho Ko, “Progressive Side Information Refinement Algorithm for Wyner-Ziv Codec,” IEICE TRANS. INF. & SYST., Vol. E94-D, No.8, pp. 1641-1652, Aug. 2011.

Sabit, H., Al-Anbuky, A., Gholam Hosseini, H., “Wireless sensor network data stream clustering: energy efficient fuzzy algorithm”, International Journal of Autonomous and Adaptive Communications Systems (IJAACS) ISSN (Online): 1754-8640 - ISSN (Print): 1754-8632l, May 2009.

Luo, D., Xu, G., Zou, Y., Hosseini, H.G., "Novel ECG diagnosis model based on multi-stage artificial neural networks", Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument , vol. 29, no. 1, pp. 27–31, 2008.  

Gholam Hosseini, H, Luo, D., Xu, G., Liu, H., and Benjamin, D., “Intelligent Fish Freshness Assessment,” International Journal of Sensors, vol. 2008-Q1, 8 pages. 2008.

Gholam Hosseini, H., Alizad, A., and Fatemi, M., “Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography,” International Journal of Biomedical Imaging, vol. 2007, Article ID 40980, 8 pages, 2007.

Harrison M, Gohil B, Gholam Hosseini H, Lowe A, Al-Jumaily A.  “Computer generated pathophysiological diagnoses during anaesthesia,” European Journal of Anaesthesiology, vol. 24, pp. 21, June 2007.

GholamHosseini, H., Luo, D., Reynolds, K. J., “The Comparison of Different Feed Forward Neural Network Architectures for ECG Signal Diagnosis,” Medical Engineering & Physics Journal, vol. 28(4), pp. 372-378, May 2006.

Refereed Conferences Papers (Since 2006)
B. Xia, Y. Sun, D. Luo, H. Li, K. Peng and H. G. Hosseini, "Classification of fruit species based on effective sensor array selection," 2016 IEEE International Conference on Consumer Electronics-China (ICCE-China), Guangzhou, China, 2016, pp. 1-5.

doi: 10.1109/ICCE-China.2016.7849747, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849747&isnumber=7849725

C. Zhu; Y. Sun; D. Luo; G. Bai; J. Zhou; H. Li; Y. Yin; H. G. Hosseini, “The study of multimodal gas recognition algorithm based on machine olfaction,” 2016 IEEE International Conference on Consumer Electronics-China (ICCE-China), Guangzhou, China, 2016, pp. . doi: 10.1109/ICCE-China.2016.7849748, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7849748

Afifi, S., GholamHosseini, H., & Sinha, R., “A Low-Cost FPGA-based SVM Classifier for Melanoma Detection,” Accepted for IEEE EMBS Conference of Biomedical, Engineering and Sciences (IECBES 2016), 04-08 December 2016, Kuala Lumpur, Malaysia

Gholamhosseini H., Baig M. M., Mirza F., Luo D., “Smartphone-based Continuous Blood Pressure Monitoring Application,” IEEE TENCON 2016, Singapore, 22-25 November 2016.

Baig M. M., Gholamhosseini H., Lindén, M., “Machine Learning in Clinical Decision Support System for Early Diagnosis from Real-time Physiological Data,” IEEE TENCON 2016, Singapore, 22-25 November 2016.

Sabouri, P. and GholamHosseini, H., “Lesion Border Detection Using Deep Learning,” IEEE Congress on Computational Intelligence (IEEE WCCI), Vancouver, Canada, 24-29 July 2016.

Gholamhosseini H., Meintjes A., Baig M. M., Lindén, M., “Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time”, The 13th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2016), FORTH, Heraklion, Crete, Greece, 29-31 May 2016.

Baig M. M., Gholamhosseini H., Connolly M. J., Lindén, M., “Advanced Decision Support System for Older Adults”, the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2015), Västerås, Sweden, 2-4 June 2015.

http://www.ncbi.nlm.nih.gov/pubmed/25980875 

Shereen Moataz Afifi, Hamid GholamHosseini and Roopak Sinha, “Hardware Acceleration of SVM-based Classifier for Melanoma Images,” 7th Pacific Rim Symposium on Image and Video Technology, Auckland, New Zealand, 23-25 Nov 2015 

Abbaspour S., Gholamhosseini H., Linden M., “ECG Artifact Removal from Surface EMG

Signal Using an Automated Method Based on Wavelet-ICA”, the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2015), vol. 211 Studies in Health Technology and Informatics, pp. 91-97, Västerås, Sweden, 2-4 June 2015. ISSN: 0926-9630, eISSN: 1879-8365, DOI: 10.3233/978-1-61499-516-6-91

http://www.unboundmedicine.com/medline/citation/2598085/ECG_Artifact_Removal_from_Surface_EMG_Signal_Using_an_Automated_Method_Based_on_Wavelet_ICA_ 

Gholamhosseini H., Baig M. M., Biswas J., Zhang H., Jayachandran M. “Cuff-less, non-invasive and continuous blood pressure monitoring using indirect methods,” The 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015), Auckland, New Zealand, 15 – 17 June 2015.

Baig, M. M., GholamHosseini, H., Lindén, M., “Tablet-based Patient Monitoring and Decision Support Systems in Hospital Care,” Conf Proc IEEE Eng Med Biol Soc. 2015 Aug; 2015:1215-8. doi: 10.1109/EMBC.2015.7318585 http://www.ncbi.nlm.nih.gov/pubmed/26736485

Baig, M. M., Gholamhosseini, H., & Connolly, M. J., “Integrated Vital Signs Monitoring System Using Ubiquitous Devices: Multiple Physical Signs Detection and Decision Support for Hospitalized Older Adults,” Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1219-22. doi: 10.1109/EMBC.2015.7318586.

http://www.ncbi.nlm.nih.gov/pubmed/26736486

Sabouri, P. and GholamHosseini, H., “Computer Vision and Image Processing for Diagnosis of Melanoma Using Clinical Images,” The 13th International Conference on Neuro-Computing and Evolving Intelligence 2015 (NCEI’15). Auckland, New Zealand, February 2015.

http://www.aut.ac.nz/__data/assets/pdf_file/0006/517920/Flyer_NCEI_2015.pdf

Altaf, S., A. Al-Anbuky, Gholamhosseini H., “Fault diagnosis in a distributed motor network using Artificial Neural Network,” International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Italy, 18-20 June, 2014.

Abbaspour S., Gholamhosseini H., Linden M., “Evaluation of Wavelet Based Methods in Removing Motion Artifact from ECG Signal,” The 16th Nordic-Baltic Conference on Biomedical Engineering & Medical Physics, Gothenburg, Sweden, October 14-16, 2014

http://link.springer.com/chapter/10.1007%2F978-3-319-12967-9_1#page-1

R. R. Chen, D. H. Luo, Y. Sun, Y. L. Sun, H. Gholam Hossini, "A Sensor Array Optimization Method Based on Variance Difference for Machine Olfaction", 2014 International Conference on Advanced Nano-Technology and Biomedical Material, ANTBM 2014; Guangzhou; China; 29-30 June 2014.

Baig M. M., Gholamhosseini H., Luo. D., “A Secure Wireless Telehealthcare Monitoring System and its Web Application,” The 2014 International Conference on Mechanical, Electronics and Computer Engineering (CMECE 2014), SanYa, China, 24-26 January 2014, ISSN: 1660-9336.

GholamHosseini H., Baig M.M., Connolly M. J., and Linden M., "A Multifactorial Falls Risk Prediction Model for Hospitalized Older Adults," The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, USA, August 26-30, 2014

Sabouri, P., GholamHossini, H., Larsson, T., and Collins, J., "A Cascade Classifier for Diagnosis of Melanoma in Clinical Images," The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, USA, August 26-30th, 2014

Baig M. M., GholamHosseini H., Connolly M. J., & Kashfi, G., "Real-Time Vital Signs Monitoring and Interpretation System for Early Detection of Multiple Physical Signs in Older Adults," Proceedings of the IEEE-EMBS International Conferences on Biomedical and Health Informatics, Valencia, Spain, 1-4 June 2014.

Baig M. M., GholamHosseini, H., Connolly M. J., & Kashfi, G., "A Wireless Patient Monitoring System for Hospitalized Older Adults: Acceptability, Reliability and Accuracy Evaluation," Proceedings of the IEEE-EMBS International Conferences on Biomedical and Health Informatics, Valencia, Spain, 1-4 June 2014.

Mirza, M., GholamHosseini, H., Harrison, M. J., “Detection and Classification of Hypovolaemia during Anaesthesia,” Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, USA, August 30 – Sep. 3, 2011.

Md. Saiful Islam, Abbas Z. Kouzani, Xiujuan J. Dai, Wojtek P. Michalski and Hamid GholamHosseini, “Comparison of Performance Parameters for Conventional and Localized Surface Plasmon Resonance Graphene Biosensors, Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, USA, August 30 – Sep. 3, 2011.

Sabit, H., Al-Anbuky, A., Gholam Hosseini, H., “Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling”, The 2nd International Conference on Ambient Systems, Networks and Technologies (ANT-2011), Ontario, Canada, September 19-21, 2011.

Mirza, M., GholamHosseini, H., Harrison, M. J., “Detecting Critical Pathological Events During Anaesthesia Administration,” New Zealand Physics and Engineering in Medicine conference, NZPEM 2010, Dunedin, New Zealand, 24 –26 Nov., 2010.

Mirza, M., GholamHosseini, H., Harrison, M. J., “A Fuzzy Logic-based System for Anaesthesia Monitoring,” Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, August 30 – Sep. 4, 2010.

Kang, H. S., Lee, K. S., GholamHosseini, H., “A Practical Approach For Calibration of Omnidirectional Stereo Cameras,” Advanced Concepts for Intelligent Vision Systems, 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010 Proceedings, Part I, LNCS 6474, pp. 300–308.

Kang, H. S., Lee, K. S., GholamHosseini, H., “A Calibration Method of Omnidirectional Stereo Camera for Long Distance Measurement”, Accepted at the 2010 Pacific-Rim Conference on Multimedia (PCM 2010), September 21-24, 2010, Shanghai, China.

Mirza, M., GholamHosseini, H., Harrison, M. J., Al-Jumaily, A., “Anaesthesia Monitoring Using Supervisory Controlled And   Data Acquisition (SCADA) Software,” ComBio2009 Conference, 6-10 December 2009, Christchurch, New Zealand.

Yu Wei, Hamid Gholam Hosseini, Andrew Cameron, Michael Harrison, Ahmed Al-Jumaily, “Voice Analysis for Detection of Hoarseness Due to a Local Anesthetic Procedure,” Proceedings of the 3rd International Conference on Signal Processing and Communication Systems 2009 (ICSPCS’09), pp. 1-7, 28-30 Sep 2009, Omaha, Nebraska, USA

Yu Wei, Hamid Gholam Hosseini, Andrew Cameron, Michael Harrison, Ahmed Al-Jumaily, “Diagnosis of New Onset Vocal Cord Paralysis Using Acoustic Analysis,” Presented at the HINZ Conference and Exhibition, 8 pages, 30 Sept - 2 Oct 2009, New Zealand.

Hakilo Sabit, Adnan Al-Anbuky, Hamid Gholam-Hosseini, “Distributed WSN Data Stream Mining Based on Fuzzy Clustering,” Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, Proceedings of the 6th International Conference on Ubiquitus and Intelligent Computing (UIC-09), pp. 395-400, ICA-IN-WIRELESS 2009 affiliated with UIC-09, Brisbane, Australia, July 7-9, 2009. ISBN: 978-0-7695-3737-5, IEEE Computer Society.

Deena Benjamin, Hamid Gholam Hosseini, Ahmed Al-Jumaily, Michael Harrison, “Fuzzy Logic Approach to Wireless Diagnostic Alarms,” Proceedings of IMECE2008, 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA

H. GholamHosseini, Shuying Hu “A High Speed Vision System for Robots Using FPGA Technology” Proceedings of 15th International Conference on Mechatronics and Machine Vision in Practice, Auckland, New Zealand, 2008.

Deena Benjamin, Hamid Gholam Hosseini, Ahmed Al-Jumaily, Michael Harrison, “Alerts to Threats in Theatres, Wireless Diagnostic Alarms,” Poster presentation at NZBio 2008 Conference & Exhibition Enterprising Technologies...Global Benefits, 31 March—2 April 2008, Auckland, New Zealand, 2008.

H. GholamHosseini, Dehan Luo, Hongxiu Liu, Guanggui Xu, “Intelligent Processing of E-nose Information for Fish Freshness Assessment,” Proceedings of the Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing ISSNIP 07, pp. 173-177, Melbourne, Australia, December 3 - 6, 2007.

Md. Shahidul Islam, Hamid Gholam Hosseini, Adnan Al-Anbuky, “Investigating Appropriate Sensor Network for Elderly Health Monitoring System,” Book of abstracts of the Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing ISSNIP 07, pp. 33, Melbourne, Australia, December 3 - 6, 2007.

Sarrafzadeh, A., Shanbehzadeh, J., Messom, C., Gholamhosseini, H., Johnson, M., “Taking Affect into Account: Advances in Affect Sensitive E-Learning,” Proceedings of E-Learn World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, T. Bastiaens and S. Carliner (eds.), October 15-19, 2007, Québec City, Québec, Canada, pp. 6516-23, ISBN: 1-880094-63-0.

Gohil B, Gholam Hosseini H, Harrison M.J, Lowe A, Al-Jumaily, A, “ Intelligent Monitoring of Critical Pathological Events in the Operating Theatre,” Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4343-4346, Lyon, France, August 23 - 28,  2007.

Harrison M, Gohil B, Gholam Hosseini H, Lowe A, Al-Jumaily A.  “Computer generated pathophysiological diagnoses during anaesthesia,” Euroanaesthesia 2007, p21 3AP4-1, Munich, Germany, 2007.

Gohil B, Harrison M, Gholam Hosseini H, “Diagnostic Alarms In Anaesthesia,” MedSci Congress 2006, Rotorua, New Zealand, 28th November–1st December 2006.

Gholam Hosseini H., A. Alizad, M. Fatemi, “Fusion of Vibro-acoustography Images and X-ray Mammography,” Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2803-2806, New York, USA, August 30 – Sep. 3,  2006.

Kilby J., Gholam Hosseini H., “Extracting Effective Features of SEMG Using Continuous Wavelet Transform,” Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,  pp. 1704-1707, New York, USA, August 30 – Sep. 3,  2006.

Kilby J., Mawston G., Gholam Hosseini H., “Analysis of Surface Electromyography Signals Using Continuous Wavelet Transform for Feature Extraction,” Proceedings of the 3rd International Conference Advances in Medical, Signal and Information Processing (MEDSIP 2006), Glasgow, UK 17-19 July 2006, No. 520, pp. 23, 2006.

Kilby J., Mawston G., Gholam Hosseini H., “Continuous Wavelet Transform Analysis for the Classification of Surface Electromyography Signals,” Proceedings to World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea 27 Aug- 1 Sept 2006.


Last updated: 13-Jun-2017 1.11pm

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.