Associate Professor Hamid Gholamhosseini

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Associate Professor

Email: hamid.gholamhosseini@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0002-0135-2687

Professional activities:

Appointment, affiliation, and membership

  • Visiting Professor, School of Innovation, Design and Engineering (IDT), Mälardalen University, Sweden (2015 - ongoing)

Editorship, reviewing, examining, and judging

  • PhD Examiner, Deakin University, Australia (2018 - 2019)
  • PhD Examiner, University of Southern Queensland, Australia (2018)

Facilitation, networking and collaboration

  • Track chair, Session chair, Reviewer and Presenting author, Conf-IRM 2019 (The International Conference on Information Resources Management) (2019)
  • Chapter Chair of EMBS at IEEE New Zealand North Section, IEEE New Zealand North Section (2012 - ongoing)

Research outputs:

Featured research outputs

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). Multiple physical signs detection and decision support system for hospitalised older adults. Physiological Measurement, 36(10). doi:10.1088/0967-3334/36/10/2069

  • Baig, M. M., Gholamhosseini, H., Kouzani, A., & Harrison, M. J. (2011). Anaesthesia monitoring using fuzzy logic.. Journal of Clinical Monitoring and Computing, 25(5). doi:10.1007/s10877-011-9315-z

Books

Journal articles

  • Rastegar, S., GholamHosseini, H., & Lowe, A. (2019). Non-invasive continuous blood pressure monitoring systems: current and proposed technology issues and challenges.. Australasian Physical and Engineering Sciences in Medicine. doi:10.1007/s13246-019-00813-x

  • Baig, M. M., Afifi, S., GholamHosseini, H., & Mirza, F. (2019). A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults – a Focus on Ageing Population and Independent Living. Journal of Medical Systems, 43(8). doi:10.1007/s10916-019-1365-7

  • Luo, D., Zhou, H., Gholamhosseini, H., Li, Z., Han, B., He, J., & Wang, S. (2019). Aroma characteristic analysis of Amomi fructus from different habitats using machine olfactory and gas chromatography-mass spectrometry. Pharmacognosy Magazine, 15(63), 392-401. doi:10.4103/pm.pm_665_18

  • Jia, X., Baig, M. M., Mirza, F., & GholamHosseini, H. (2019). A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine, 2019. doi:10.1155/2019/8392348

  • Long, Q., Li, Z., Han, B., Hosseini, H. G., Zhou, H., Wang, S., & Luo, D. (2019). Discrimination of two cultivars of alpinia officinarum hance using an electronic nose and gas chromatography-mass spectrometry coupled with chemometrics. Sensors (Switzerland), 19(3). doi:10.3390/s19030572

  • Afifi, S., GholamHosseini, H., & Sinha, R. (2019). A system on chip for melanoma detection using FPGA-based SVM classifier. Microprocessors and Microsystems, 65, 57-68. doi:10.1016/j.micpro.2018.12.005

  • Sun, Y., Luo, D., Li, H., Zhu, C., Xu, O., & Gholam Hosseini, H. (2018). Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations. Journal of Electrical and Computer Engineering, 2018. doi:10.1155/2018/1092718

  • Moqeem, A., Baig, M., Gholamhosseini, H., & Mirza, F. (2018). Mobile Health Application Framework for an Ideal User Experience: A User-Centered Design Approach for Clinicians. Trends in Telemedicine & E-health, 1(3). Retrieved from https://crimsonpublishers.com/tteh/pdf/TTEH.000511.pdf

  • Ubaid, A., Mirza, F., Baig, M., & Gholamhosseini, H. (2018). Identifying the relationship between unstable vital signs and intensive care unit (ICU) readmissions: an analysis of 10-year of hospital ICU readmissions. Health and Technology, 8(1), 77-85. doi:10.1007/s12553-018-0255-1

  • Afifi, S., GholamHosseini, H., & Sinha, R. (2018). Dynamic hardware system for cascade SVM classification of melanoma. Neural Computing and Applications. doi:10.1007/s00521-018-3656-1

  • Moqeem, A., Baig, M., Gholamhosseini, H., Mirza, F., & Linden, M. (2018). Medical device integrated vital signs monitoring application with real-time clinical decision support. Studies in Health Technology and Informatics, 249. doi:10.3233/978-1-61499-868-6-189

  • Afifi, S., Gholamhosseini, H., & Sinha, R. (2017). SVM classifier on chip for melanoma detection. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 270-274. doi:10.1109/EMBC.2017.8036814

  • Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges. Health Informatics Journal. doi:10.1177/1460458217740722

  • Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). A systematic review of wearable patient monitoring systems: Current challenges and opportunities for clinical adoption. Journal of Medical Systems, 41. doi:10.1007/s10916-017-0760-1

  • Zhou, H., Luo, D., Gholamhosseini, H., Li, Z., & He, J. (2017). Identification of Chinese herbal medicines with electronic nose technology: Applications and challenges. Sensors, 17(5). doi:10.3390/s17051073

  • Lin, J., Sun, Y., Luo, D., GholamHosseini, H., & Yang, H. (2016). An Embedded Platform for Odor Analysis of Chinese Herbal Medicines. Advances in Biomedical Engineering Research, 4(0). doi:10.14355/aber.2016.04.002

  • Abbaspour, S., Fallah, A., Lindén, M., & Gholamhosseini, H. (2016). A novel approach for removing ECG interferences from surface EMG signals using a combined ANFIS and wavelet. Journal of Electromyography and Kinesiology, 26(2016). doi:10.1016/j.jelekin.2015.11.003

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2016). Falls risk assessment for hospitalised older adults: A combination
    of motion data and vital signs. Aging Clinical and Experimental Research, 28(6). doi:10.1007/s40520-015-0510-5

  • Afifi, S., GholamHosseini, H., & Sinha, R. (2015). Hardware Implementations of SVM on FPGA: A State-of-the-Art Review of Current Practice. International Journal of Innovative Science, Engineering &Technology (IJISET), 2(11). Retrieved from http://www.ijiset.com/

  • Afifi, S. M., Gholamhosseini, H., & Poopak, S. (2015). Hardware Implementations of SVM on FPGA: A State-of-the-Art Review of Current Practice. International Journal of Innovative Science, Engineering & Technology, 2(11). Retrieved from http://www.ijiset.com/

  • Abbaspour, S., Fallah, A., Lindén, M., & Gholamhosseini, H. (2015). A novel approach for removing ECG interferences from surface EMG signals using a combined ANFIS and wavelet. Journal of Electromyography and Kinesiology. doi:10.1016/j.jelekin.2015.11.003

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). Multiple physical signs detection and decision support system for hospitalized older adults. Physiological Measurement, 36(10). doi:10.1088/0967-3334/36/10/2069

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). Multiple physical signs detection and decision support system for hospitalised older adults. Physiological Measurement, 36(10). doi:10.1088/0967-3334/36/10/2069

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

  • Chen, H., Luo, D., & Gholamhosseini, H. (2014). A New Method for Classification of Chinese Herbal Medicines Based on Local Tangent Space Alignment and LDA. International Journal of Computer and Information Technology, 03(05). Retrieved from http://www.ijcit.com/archives/volume3/issue5/Paper030521.pdf

  • Sabouri, P., GholamHosseini, H., Larsson, T., & Collins, J. (2014). A cascade classifier for diagnosis of melanoma in clinical images. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2014. doi:10.1109/EMBC.2014.6945177

  • Baig, M. M., Gholamhosseini, H., Lindén, M., & Connolly, M. J. (2014). Review of vital signs monitoring systems – patient’s acceptability, issues and challenges. Journal of Neuroscience and Biomedical Engineering, 2(1). doi:10.2174/2213385202999140820115756

  • Baig, M. M., GholamHosseini, H., & Luo, D. (2014). A secure wireless telehealthcare monitoring system and its web application. Applied Mechanics and Materials, 541-542. doi:10.4028/www.scientific.net/AMM.541-542.1309

  • Sabouri, P., Hosseini, G. H., & Collins, J. (2014). Border detection of melanoma skin lesions on a single system on chip (SoC). Journal of Computers, 25(1). Retrieved from http://www.csroc.org.tw/journal/E_Published%20Vol_25_No_1.htm

  • Sabouri, P., Gholamhosseini, H., & Collins, J. (2014). Border detection of melanoma skin lesions on a single system on chip (SoC). Journal of Computers, 25(1). Retrieved from http://www.csroc.org.tw/journal/E_Published%20Vol_25_No_1.htm

  • Baig, M. M., & Gholamhosseini, H. (2013). Wireless remote patient monitoring in older adults.. Conf Proc IEEE Eng Med Biol Soc, 2013. doi:10.1109/EMBC.2013.6610030

  • Baig, M. M., & Gholamhosseini, H. (2013). Smart health monitoring systems: An overview of design and modeling. Journal of Medical Systems, 37(2).

  • Baig, M. M., & Gholamhosseini, H. (2013). Smart health monitoring systems: An overview of design and modeling. Journal of Medical Systems, 37(2). doi:10.1007/s10916-012-9898-z

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2013). A comprehensive survey of wearable and wireless ECG monitoring systems for older adults. Medical and Biological Engineering and Computing.

  • Luo, D., sun, Y., zhuang, J., & Gholamhosseini, H. (2013). Classification of Hundred-grass-oil Samples Using E-nose. Journal of Computational Information Systems, 9(7). Retrieved from http://www.jofcis.com/

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2013). A comprehensive survey of wearable and wireless ECG monitoring systems for older adults. Medical and Biological Engineering and Computing, 51(5). doi:10.1007/s11517-012-1021-6

  • Baig, M. M., Gholamhosseini, H., & Harrison, M. J. (2013). Fuzzy logic based anaesthesia monitoring systems for the detection of absolute hypovolaemia. Computers in Biology and Medicine, 43(6). doi:10.1016/j.compbiomed.2013.01.023

  • Gholamhosseini, H., & Li, K. (2012). Implementation of Transient Signal Detection Algorithms on FPGA. ” International Journal of Computer Applications (IJCA), 41(12).

  • Islam, M. S., Kouzani, A. Z., Dai, X. J., Michalski, W. P., & Gholamhosseini, H. (2012). Design and analysis of a multilayer localized surface plasmon resonance graphene biosensor. Journal of Biomedical Nanotechnology, 8(3). doi:10.1166/jbn.2012.1392

  • Kang, H. S., Lee, S. W., & Gholamhosseini, H. (2012). Probability constrained search range determination for fast motion estimation. ETRI Journal, 34(3). doi:10.4218/etrij.12.0111.0200

  • Biag, M. M., Gholamhosseini, H., & Harrison, M. J. (2012). Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre. WSEAS TRANSACTIONS on CIRCUITS and SYSTEMS journal, 11(1).

  • Baig, M. M., Gholamhosseini, H., & Harrison, M. J. (2012). Fuzzy logic based smart anaesthesia monitoring system in the operation theatre. WSEAS Transactions on Circuits and Systems, 11(1).

  • Baig, M. M., Gholamhosseini, H., Lee, S. W., & Harrison, M. J. (2011). Detection and classification of hypovolaemia during anaesthesia. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 357-360. doi:10.1109/IEMBS.2011.6090117

  • Baig, M. M., Gholamhosseini, H., Kouzani, A., & Harrison, M. J. (2011). Anaesthesia monitoring using fuzzy logic.. Journal of Clinical Monitoring and Computing, 25(5). doi:10.1007/s10877-011-9315-z

  • Sabit, H., Al Anbuky, A., & Hossieni, H. G. (2011). Data stream Mining for Wireless Sensor Networks Environment: Energy Efficient Fuzzy Clustering Algorithm. International Journal of Autonomous and Adaptive Communications Systems, 4(4). Retrieved from http://www.inderscience.com/browse/index.php?journalCODE=ijaacs

  • Han, C., Lee, S., Gholamhosseini, H., & Ko, Y. (2011). Progressive Side Information Refinement Algorithm for Wyner-Ziv Codec. IEICE TRANS. INF. & SYST., E94-D(8).

  • Sabit, H., Al-Anbuky, A., & Gholamhosseini, H. (2011). Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling. Procedia Computer Science, 5(2011).

  • Sabit, H., Al-Anbuky, A., & Gholamhosseini, H. (2011). Data stream mining for wireless sensor networks environment: energy efficient fuzzy clustering algorithm. ”, International Journal of Autonomous and Adaptive Communications Systems (IJAACS), 4(4).

  • Baig, M. M., GholamHosseini, H., Kouzani, A., & Harrison, M. J. (2011). Anaesthesia monitoring using fuzzy logic. Journal of Clinical Monitoring and Computing.

  • Mirza, M., Gholamhosseini, H., & Harrison, M. J. (2010). A fuzzy logic-based system for anaesthesia monitoring.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2010, 3974-3977.

  • Sabit, H., Al Anbuky, A., & GholamHosseini, H. (2009). Wireless sensor network data stream clustering: energy efficient fuzzy algorithm. International Journal of Autonomous and Adaptive Communications Systems (IJAACS, (May).

  • Luo, D., Xu, G., Zou, Y., & Hosseini, H. G. (2008). Novel ECG diagnosis model based on multi-stage artificial neural networks. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 29(1), 27-31.

  • Gholam Hosseini, H., Luo, D., Xu, G., Liu, H., & Benjamin, D. (2008). Intelligent Fish Freshness Assessment. International Journal of Sensors, 2008(Q1).

  • Harrisom, M., Gohil, B., Gholamhosseini, H., Lowe, A., & Al-Jumaily, A. (2007). Computer generated pathophysiological diagnoses during anaesthesia. European Journal of Anaesthesiology, 24. Retrieved from http://journals.lww.com/

  • Gholamhosseini, H., Alizad, A., & Fatemi, M. (2007). Integration of vibro-acoustography imaging modality with the traditional mammography. International Journal of Biomedical Imaging.

  • Kilby, J., Mawston, G., & Hosseini, H. G. (2006). Analysis of surface electromyography signals using continuous wavelet transform for feature extraction. IET Conference Publications, (520), 23. doi:10.1049/cp:20060353

  • Gholam Hosseini, H., Luo, D., & Reynolds, K. J. (2006). The comparision of different feed forward neural network architectures for ECG signal diagnosis. Medical Engineering and Physics Journal, 28(4).

  • Fan, C., Dadgostar, F., Sarrafzadeh, A., Gholamhosseini, H., & Johnson, M. (2005). Facial image reconstruction using polygon approximation. Proceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005, 565-569.

  • Gholamhosseini, H., Luo, D., & Reynolds, K. (2005). The Comparison of Different Feed Forward Neural Network Architectures for ECG Signal Diagnosis. Medical Engineering and Physics, In Press. Retrieved from http://www.sciencedirect.com/

  • Gholamhosseini, H., Luo, D., & Reynolds, K. J. (2005). The Comparison of Different Feed Forward Neural Network Architectures for ECG Signal Diagnosis. Medical Engineering and Physics, In Press. Retrieved from http://www.sciencedirect.com/

  • Kilby, J., & Hosseini, H. G. (2004). Wavelet analysis of Surface Electromyography signals. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 26 I, 384-387.

  • Luo, D., Gholamhosseini, H., & Stewart, J. R. (2004). Application of ANN with Extracted Parameters From an Electronic Nose In Cigarette Brand Identification. Sensors and Actuators: B. Chemical Journal, 99(2-3). Retrieved from http://www.elsevier.com/locate/snb

  • Luo, D., GholamHosseini, H., & Stewart, R. (2004). Application of ANN with Extracted Parameters From an Electronic Nose In Cigarette Brand Identification. Sensors & Actuators: B. Chemical Journal, 99(2-3).

  • Sarrafzadeh, A., Hosseini, H. G., Fan, C., & Overmyer, S. P. (2003). Facial expression analysis for estimating learner's emotional state in intelligent tutoring systems. Proceedings - 3rd IEEE International Conference on Advanced Learning Technologies, ICALT 2003, 336-337. doi:10.1109/ICALT.2003.1215111

  • Hosseini, H. G., Reynolds, K. J., & Powers, D. (2001). A multi-stage neural network classifier for ECG events. Annual International Conference of the IEEE Engineering in Medicine and Biology-Proceedings, 2, 1672-1675. doi:10.1109/IEMBS.2001.1020536

  • GholamHosseini, H., Nazeran, H., & Moran, B. (1998). ECG compression: Evaluation of FFT, DCT, and WT performance. Australasian Physical and Engineering Sciences in Medicine, 21(4), 186-192.

  • Nazeran, H., Hosseini, H. G., Ayers, M. B., & Pearcy, M. J. (1997). Power spectrum analysis of human femoral rotations during gait. Medical and Biological Engineering and Computing, 35(5), 553-555. doi:10.1007/BF02525540

Book chapters

  • GholamHosseini, H., Baig, M. M., Meintjes, A., Mirza, F., & Lindén, M. (2017). Smartphone-based blood pressure monitoring for falls risk assessment: Techniques and technologies. In S. Longhi, A. Monteriù, & A. Freddi (Eds.), Human monitoring, smart health and assisted living: Techniques and technologies (pp. 203-215). London, United Kingdom: The Institution of Engineering and Technology. Retrieved from http://www.theiet.org/

  • Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2016). Tablet-based clinical decision support system for hospitalised older adults. In F. Florez-Revuelta, & A. Chaaraoui (Eds.), Active and assisted living: Technologies and applications (pp. 311-332). London, United Kingdom: The Institution of Engineering and Technology. Retrieved from http://www.theiet.org/

  • Baig, M., Gholamhosseini, H., & Connolly, M. J. (2016). Tablet-based clinical decision support system for hospitalised older adults. In F. Florez-Revuelta, & A. A. Chaaraoui (Eds.), Active and Assisted Living: Technologies and Applications (pp. 311-326). UK: IET Publishing. Retrieved from 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): A technology road map (pp. 299-317). Switzerland: Springer. doi:10.1007/978-3-319-12817-7_14

  • Chen, R. R., Luo, D., Sun, Y., Sun, Y. L., & Gholamhosseini, H. (2014). A Sensor Array Optimization Method Based on Variance Difference for Machine Olfaction. In Applied Mechanics and Materials (Volume 618) (pp. 523-527). ISNN 1660-9336: Scientific.net. doi:10.4028/www.scientific.net/AMM.618.523

  • 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. H. Park (Eds.), Advanced technologies, embedded and multimedia for human-centric computing (LNEE vol. 260) (pp. 465-471). Dordrecht, Netherlands: Springer Science and Business Media.

  • Kang, H. S., Lee, K. S., & Gholamhosseini, H. (2010). A Practical Approach for Calibration of Omnidirectional Stereo Cameras. In Advanced Concepts for Intelligent Vision Systems (pp. 300-308). Springer Berlin / Heidelberg. doi:10.1007/978-3-642-17688-3_29

Conference contributions

  • Baig, M., Afifi, S., Gholamhosseini, H., & Mirza, F. (2019). Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. In 2019 International Conference on Information Resources Management (Conf-IRM). Auckland. Retrieved from https://www.conf-irm2019.com/

  • Rastegar Moghdam, S., Gholamhosseini, H., Lowe, A., & Baig, M. (2019). Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using Continuous Wavelet Transform and Convolutional Neural Network. In The International Conference on Information Resources Management (Conf-IRM). Auckland. Retrieved from https://www.conf-irm2019.com/

  • Jia, X., Mirza, F., Baig, M., & Gholamhosseini, H. (2019). A Cox-based Model for Predicting the Risk of Cardiovascular Disease. In The International Conference on Information Resources Management (Conf-IRM). Auckland.

  • Norouzifard, M., Dehkordi, A. A., Dehkordi, M. N., Gholamhosseini, H., & Klette, R. (2019). Unsupervised optic cup and optic disk segmentation for glaucoma detection by ICICA. In Proceedings - 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018 (pp. 209-214). Yichang. doi:10.1109/I-SPAN.2018.00041

  • Norouzifard, M., Nemati, A., Abdul-Rahman, A., GholamHosseini, H., & Klette, R. (2019). A Comparison of Transfer Learning Techniques, Deep Convolutional Neural Network and Multilayer Neural Network Methods for the Diagnosis of Glaucomatous Optic Neuropathy. In C. -Y. Chang, C. -C. Lin, & H. -H. Lin (Eds.), Communications in Computer and Information Science Vol. 1013 (pp. 627-635). Yunlin. doi:10.1007/978-981-13-9190-3_69

  • Rastegar Moghadam, S., Gholamhosseini, H., Lowe, A., Mehdipour, F., & Lindén, M. (2019). Estimating Systolic Blood Pressure Using Convolutional Neural Networks. In Studies in Health Technology and Informatics Vol. 261 (pp. 143-149). Genoa: IOS Press. doi:10.3233/978-1-61499-975-1-143

  • Afifi, S., Gholamhosseini, H., Sinha, R., & Lindén, M. (2019). A Novel Medical Device for Early Detection of Melanoma. In Studies in Health Technology and Informatics Vol. 261 (pp. 122-127). Genoa: IOS Press.

  • Gholamhosseini, H., Baig, M., Maratas, J., Mirza, F., & Lindén, M. (2019). Obesity risk assessment model using wearable technology with personalized activity, calorie expenditure and health profile. In Studies in Health Technology and Informatics Vol. 261 (pp. 91-96). Genoa: IOS Press. doi:10.3233/978-1-61499-975-1-91

  • Norouzifard, M., Nemati, A., Gholamhosseini, H., Klette, R., Nouri-Mahdavi, K., & Yousefi, S. (2019). Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing. In International Conference on Image and Vision Computing New Zealand. Auckland. doi:10.1109/IVCNZ.2018.8634671

  • Norouzifard, M., Dawda, A., Abdul-Rahman, A., Gholamhosseini, H., & Klette, R. (2019). Superpixel Segmentation Methods on Stereo Fundus Images and Disparity Map for Glaucoma Detection. In International Conference on Image and Vision Computing New Zealand. Auckland. doi:10.1109/IVCNZ.2018.8634732

  • Baig, M. M., Mirza, F., Gholamhosseini, H., Gutierrez, J., & Ullah, E. (2018). Automated and Early detection of long-term conditions using a real-time wearable patient monitoring system. In 35th International Conference of International Society for Quality in Health Care (ISQua). Kuala Lumpur: International Society for Quality in Health Care. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf

  • Baig, M. M., Moqeem, A., Gholamhosseini, H., Mirza, F., & Ullah, E. (2018). Vital Signs Monitoring and Decision Support Application – A 6S Framework for User-centred Design Approach for mHealth Applications. In 35th International Conference of International Society for Quality in Health Care (ISQua). Kuala Lumpur: International Society for Quality in Health Care. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf

  • Gholamhosseini, H., Baig, M., Rastegar, S., & Linden, M. (2018). Cuffless blood pressure estimation using pulse transit time and photoplethysmogram intensity ratio. In Studies in Health Technology and Informatics Vol. 249 (pp. 77-83). Gjøvik: IOS Press. doi:10.3233/978-1-61499-868-6-77

  • Hasan, M. R., Gholamhosseini, H., Sarkar, N. I., & Safiuzzaman, S. M. (2018). Intrinsic motivated cervical cancer screening intervention framework. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 506-509). Dhaka: IEEE. doi:10.1109/R10-HTC.2017.8289009

  • Fong, A. C. M., Fong, B., Davey, P., Gholamhosseini, H., & Li, C. K. (2018). Interoperability and reliability of wearable healthcare devices for emergency care. In Proceedings - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. Las Vegas, NV: IEEE. doi:10.1109/ICCE.2018.8326260

  • Baig, M., Moqeem, A., Gholamhosseini, H., & Mirza, F. (2018). Clinician-centered Mobile Application Design Framework and Clinical Decision Support for Hospitals. In 2018 HiNZ Conference Proceedings. Wellington. Retrieved from https://www.hinz.org.nz/page/proceedings

  • Baig, M., Mirza, F., GholamHosseini, H., Gutierrez, J., & Ullah, E. (2018). Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology.. In Proceedings - 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4456-4459). Honolulu, HI. doi:10.1109/EMBC.2018.8513343

  • Hasan, M. R., Gholamhosseini, H., & Sarkar, N. I. (2017). A new ensemble model for multivariate medical data. In 2017 27th International Telecommunication Networks and Applications Conference (pp. 1-6). Melbourne: IEEE. doi:10.1109/ATNAC.2017.8215412

  • Baig., Gholamhosseini, H., & Linden, M. (2017). A mobile application for real-time vital signs monitoring and clinical decision support with integrated medical devices. In Medicinteknikdagarna. Västerås. Retrieved from http://www.trippus.se/

  • Afifi, S., Gholamhosseini, H., & Sinha, R. (2016). A low-cost FPGA-based SVM classifier for melanoma detection. In IEEE-EMBS Conference on Biomedical Engineering and Sciences. Kuala Lumpur. doi:10.1109/IECBES.2016.7843526

  • Sabouri, P., & Gholamhosseini, H. (2016). Lesion border detection using deep learning. In IEEE Congress on Computational Intelligence (IEEE WCCI). Vancouver. doi:10.1109/CEC.2016.7743955

  • Afifi, S., GholamHosseini, H., & Sinha, R. (2016). Hardware Acceleration of SVM-Based Classifier for Melanoma Images. In Image and Video Technology – PSIVT 2015 Workshops. PSIVT 2015. Lecture Notes in Computer Science Vol. 9555 (pp. 235-245). : Springer International Publishing. doi:10.1007/978-3-319-30285-0_19

  • Gholamhosseini, H., Meintjes, A., Baig, M., & Linden, M. (2016). Smartphone-based continuous blood pressure measurement using pulse transit time. In pHealth 2016: Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health Vol. 224 (pp. 84-89). Heraklion: IOS Press BV. doi:10.3233/978-1-61499-653-8-84

  • Baig, M. M., Gholamhosseini, H., & Lindén, M. (2016). Machine learning-based clinical decision support system for early diagnosis from real-time physiological data. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON) (pp. 2943-2946). Singapore: IEEE. doi:10.1109/TENCON.2016.7848584

  • Zhu, C., Sun, Y., Luo, D., Bai, G., Zhou, J., Li, H., . . . Gholamhosseini, H. (2016). The study of multimodal gas recognition algorithm based on machine olfaction. In 2016 IEEE International Conference on Consumer Electronics-China (ICCE-China) (pp. 1-6). . doi:10.1109/ICCE-China.2016.7849748

  • Xia, B., Sun, Y., Luo, D., & Gholamhosseini, H. (2016). Classification of fruit species based on effective sensor array selection. In IEEE International Conference on Consumer Electronics-China (ICCE-China) (pp. 1-5). Guangzhou. doi:10.1109/ICCE-China.2016.7849747

  • Gholamhosseini, H., Baig., & Luo, D. (2016). Smartphone-based Continuous Blood Pressure Monitoring Application. In IEEE TENCON. .

  • Shereen, A., GholamHosseini, H., & Sinha, R. (2016). Hardware Acceleration of SVM-Based Classifier for Melanoma Images.. In Image and Video Technology – PSIVT 2015 Workshops Vol. 9555 (pp. 235-245). . doi:10.1007/978-3-319-30285-0_19

  • Gholamhosseini, H., Baig, M. M., Mirza, F., & Luo, D. (2016). Smartphone-based continuous blood pressure monitoring application - robust security and privacy framework. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON) (pp. 2939-2942). Singapore: IEEE. doi:10.1109/TENCON.2016.7848583

  • Gholamhosseini, H. (2016). Melanoma image processing and analysis for decision support systems. In LImage and Video Technology – PSIVT 2015 Workshops Vol. 9555. : Springer Verlag. doi:10.1007/978-3-319-30285-0

  • Afifi, S., GholamHosseini, H., & Sinha, R. (2015). Hardware Acceleration of SVM-based Classifier for Melanoma Images. Auckland.

  • Gholamhosseini, H., Biswas, J., Zhang, H., Jayachandran, M., & Baig, M. M. (2015). Cuff-less, non-invasive and continuous blood pressure monitoring using indirect methods. In Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on (pp. 233-237). Auckland: IEEE. doi:10.1109/ICIEA.2015.7334117

  • Abbaspour, S., Lindén, M., & Gholamhosseini, H. (2015). ECG artifact removal from surface EMG signal using an automated method based on wavelet-ICA. In Proceedings of 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: IOS Press. doi:10.3233/978-1-61499-516-6-91

  • Baig, M., & Gholamhosseini, H. (2015). Advanced Decision Support System for Older Adults. In Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health 2–4 June 2015 Västerås, Sweden Vol. 211 of Studies in Health Technology and Informatics (pp. 235-240). Västerås: IOS Press. doi:10.3233/978-1-61499-516-6-235

  • Abbaspour, S., Lindén, M., & Gholamhosseini, H. (2015). ECG artifact removal from surface EMG signal using an automated method based on wavelet-ICA. In Studies in Health Technology and Informatics Vol. 211 (pp. 91-97). Västerås: IOS Press. doi:10.3233/978-1-61499-516-6-91

  • Baig, M. M., Gholamhosseini, H., Connolly, M. J., & Lindén, M. (2015). Advanced decision support system for older adults. UK: IOS Press. Retrieved from https://books.google.co.nz/

  • Afifi, S., Gholamhosseini, H., & Roopak, S. (2015). Hardware Acceleration of SVM-based Classifier for Melanoma Images. In 7th Pacific Rim Symposium on Image and Video Technology. Auckland.

  • Baig, M. M., GholamHosseini, H., & Linden, M. (2015). Tablet-based patient monitoring and decision support systems in hospital care. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1215-1218). Milan: IEEE. doi:10.1109/EMBC.2015.7318585

  • Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). Integrated vital signs monitoring system using ubiquitous devices: Multiple physical signs detection and decision support for hospitalized older adults. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1219-1222). Milan: IEEE. doi:10.1109/EMBC.2015.7318586

  • Baig, M. M., Gholamhosseini, H., & Lindén, M. (2015). Tablet-based patient monitoring and decision support systems in hospital care. In Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1215-1218). Milan: IEEE. Retrieved from http://emb.citengine.com/event/embc-2015/paper-details?pdID=4425

  • Abbaspour, S., Gholamhosseini, H., & Linden, M. (2015). Evaluation of wavelet based methods in removing motion artifact from ECG signal. In IFMBE Proceedings Vol. 48 (pp. 1-4). : Springer Verlag. doi:10.1007/978-3-319-12967-9_1

  • Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014). A Wireless Patient Monitoring System for Hospitalized Older Adults: Acceptability, Reliability and Accuracy Evaluation. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Valencia. Retrieved from http://bhi.embs.org/2014/

  • Baig, M. M., GholamHosseini, H., & Luo, D. (2014). A Secure Wireless Telehealthcare Monitoring System and its Web Application. In International Conference on Mechanical, Electronics and Computer Engineering (CMECE 2014). Sanya: Trans Tech Publications. Retrieved from http://www.cmece.net/index.php

  • Sabouri, P., GholamHosseini, H., Larsson, T., & Collins, J. (2014). A cascade classifier for diagnosis of melanoma in clinical images. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 6748-6751). Chicago, Illinois: IEEE. Retrieved from http://ieeexplore.ieee.org/

  • GholamHosseini, H., Baig Mirza., Connolly, M. J., & Lindén, M. (2014). A Multifactorial Falls Risk Prediction Model for Hospitalized Older Adults. In The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago: IEEE. Retrieved from http://ieeexplore.ieee.org/

  • Altaf, S., Al-Anbuky, A., & Gholamhosseini, H. (2014). Fault diagnosis in a distributed motor network using Artificial Neural Network. In 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 (pp. 190-197). Ischia. doi:10.1109/SPEEDAM.2014.6871946

  • Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014). Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults. In Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 335-358). Valencia: IEEE. Retrieved from http://bhi.embs.org/2014/

  • Altaf, S., Al-Anbuky, A., & Hosseini, H. G. (2014). Fault signal propagation in a network of distributed motors. In Proceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014 (pp. 59-63). Malaysia.

  • Sabouri, P., GholamHosseini, H., & Collins, J. (2014). Border detection of skin lesions on a Single System on Chip (SoC). In Advanced technologies, embedded and multimedia for human-centric computing: HumanCom and EMC 2013 (pp. 465-472). Taipei: Springer. doi:10.1007/978-94-007-7262-5

  • Sabouri, P., GholamHosseini, H., Collins, J., & Baig, M. M. (2013). Smart skin cancer diagnosis using advanced embedded vision systems. In The Annual Health Informatics New Zealand. Rotorua.

  • Baig, M., & Gholamhosseini, H. (2013). Implementation of an Advanced and Secure System Using Wireless Medical Devices in Healthcare Settings. In Proceedings of Electronics New Zealand Conference 2013 (pp. 36-39). Auckland: Printed in New Zealand by Massey Printery. Retrieved from http://enzcon.org.nz/Past_Proceedings/Proceedings_2013.pdf

  • GholamHosseini, H., & Prasad, K. (2013). Biotronic Engineering Curriculum Design:
    Integrating Electronic Engineering and Applied/Health Sciences. In 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) (pp. 178-181). Bali.

  • Baig, M., & GholamHosseini, H. (2013). A Telehealth Care System to Enhance Healthcare Delivery. In First IEEE Healthcare Technology Conference: Translational Engineering in Health & Medicine. Houston, TX: IEEE, USA. Retrieved from http://healthinnov.embs.org/2012conf/

  • Gholamhosseini, H., & PRASAD, K. (2013). Biotronic Engineering Curriculum Design: Integrating Electronic Engineering and Applied/Health Sciences. In TALE2013 – IEEE International Conference on Teaching, Assessment and Learning for Engineering (pp. 178-181). Kuta: IEEE.

  • Baig, M. M., & GholamHosseini, H. (2013). A remote monitoring system with early diagnosis of hypertension and Hypotension. In IEEE EMBS Special Topic Conference on Point-of-Care (POC) Healthcare Technologies: Synergy Towards Better Global Healthcare, PHT 2013 (pp. 34-37). .

  • Baig, M. (2012). Early Warning System for Older Patients. In Annual Health Informatics New Zealand. Rotorua.

  • Wei, Y., Gholamhosseini, H., & Cameron, A. (2012). A Novel Voice Signal Discrimination Algorithm and its Application. In The International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA). Sanya.

  • Mirza, M., & Gholamhosseini, H. (2012). Early Warning System for Older Patients. In The 11th Annual Health Informatics Conference by Health Informatics New Zealand (HINZ). Rotorua.

  • Mirza, M., & Gholamhosseini, H. (2012). A Telehealth Care System to Enhance Healthcare Delivery. In Proceedings of the 1st IEEE Healthcare Technology Conference. Houston.

  • Al-Anbuky, A., Sabit, H., & Hossieni, H. G. (2011). Wireless Sensor Network assisted Wildfire Hazard Prediction System Modeling. In The 2nd International Conference on Ambient Systems, Networks and Technologies. Niagara Falls, Ontario: ELSEVIER. Retrieved from http://cs-conferences.acadiau.ca/ant-11/#

  • Baig, M. M., Gholamhosseini, H., & Harrison, M. J. (2011). Detection and Classification of Hypovolaemia during Anaesthesia. In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 357-360). : United States National Library of Medicine.

  • Saiful Islam, M., Kouzani, A. Z., Dai, X. J., Michalski, W. P., & Gholamhosseini, H. (2011). Comparison of Performance Parameters for Conventional and Localized Surface Plasmon Resonance Graphene Biosensors. In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1851-1854). .

  • Baig, M. (2011). Fuzzy Logic-based System for Anaesthesia Monitoring,. In 32nd Annual International Conference of the IEEE (pp. 3974-3977). Buenos Aires: IEEE, USA. doi:10.1109/IEMBS.2010.5627987

  • Sabit, H., Al-Anbuky, A., & Gholamhosseini, H. (2011). Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling. In The 2nd International Conference on Ambient Systems, Networks and Technologies (ANT-2011). Ontario.

  • Baig, M., GholamHosseini, H., & Harrison, M. J. (2010). Detecting Critical Pathological Events during Anaesthesia Administration,. In The Annual Conference of the Australasian College of Physical Scientists and Engineers in Medicine. Dunedin.

  • Mirza, M., Gholam Hosseini, H., & Harrison, M. J. (2010). A Fuzzy Logic-based System for Anaesthesia Monitoring. In 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Buenos Aires.

  • Mirza, M., GholamHosseini, H., & Harrison, M. J. (2010). Detecting Critical Pathological Events During Anaesthesia Administration. In New Zealand Physics and Engineering in Medicine Conference. Dunedin.

  • Kang, H. S., Lee, K. S., & GholamHosseini, H. (2010). A Practical Approach For Calibration of Omnidirectional Stereo Cameras. In Advanced Concepts for Intelligent Vision Systems, Acivs 2010. Sydney.

  • Baig, M. (2009). Anaesthesia monitoring using Supervisory Controlled and Data Acquisition (SCADA) software. In The Combio '09. Christchurch.

  • Benjamin, D., Gholam Hosseini, H., Al-Jumaily, A., & Harrison, M. J. (2009). Fuzzy logic approach to wireless diagnostic alarms in anesthesia. In ASME International Mechanical Engineering Congress and Exposition, Proceedings Vol. 2 (pp. 107-111). doi:10.1115/IMECE2008-67058

  • Wei, Y., GholamHosseini, H., Cameron, A., Harrison, M. J., & Al-Jumaily, A. (2009). Voice analysis for detection of hoarseness due to a local anesthetic procedure. In 3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009 - Proceedings. doi:10.1109/ICSPCS.2009.5306369

  • Sabit, H., Al Anbuky, A., & Hosseini, H. G. (2009). Distributed WSN Data Stream Mining based on Fuzzy Clustering. In UIC'2009. Brisbane.

  • Wei, Y., GholamHosseini, H., Cameron, A., Harrison, M., & Al Jumaily, A. (2009). Voice Analysis for Detection of Hoarseness Due to a Local Anesthetic Procedure. In Proceedings of the 3rd International Conference on Signal Processing and Communication Systems 2009 (ICSPCS'09 (pp. 1-7). Nebraska.

  • Wei, Y., GholamHosseini, H., Cameron, A., Harrison, M., & Al Jumaily, A. (2009). Diagnosis of New Onset Vocal Cord Paralysis Using Acoustic Analysis. In HINZ Conference and Exhibition. New Zealand.

  • Sabit, H., Al Anbuky, A., & GholamHosseini, H. (2009). Distributed WSN Data Stream Mining based on Fuzzy Clustering. In ICA-IN-WIRELESS 2009 affiliated with UIC-09. Brisbane.

  • Mirza, M., GholamHosseini, H., Harrison, M. J., & Al Jumaily, A. (2009). Anaesthesia Monitoring Using Supervisory Controlled And Data Acquisition (SCADA) Software. In ComBio2009 Conference. Christchurch.

  • Gholam Hosseini, H., & Hu, S. (2008). A High Speed Vision System for Robots Using FPGA Technology. In Proceedings of 15th International Conference on Mechatronics and Machine Vision in Practice-M2VIP (pp. 81-84). Auckland.

  • Benjamin, D., Gholam Hosseini, H., Al Jumaily, A., & Harrison, M. I. (2008). Fuzzy Logic Approach to Wireless Diagnostic Alarms. In Proceedings of IMECE2008, ASME International Mechanical Engineering Congress and Exposition. Boston, Massachusetts.

  • Benjamin, D., Gholam Hosseini, H., Al Jumaily, A., & Harrison, M. I. (2008). Alerts to Threats in Theatres, Wireless Diagnostic Alarms. In NZBio 2008 Conference & Exhibition Enterprising Technologies Global Benefits. Auckland.

  • Islam, M. S., Hosseini, H. G., & Al Anbuky, A. (2007). Investigating appropriate sensor network for elderly health monitoring system. In Third International Conference on Intelligent Sensors Sensor Networks and Information Processing ISSNIP 07. Melbourne.

  • Harrison, M., Gohil, B., Gholam-Hossieni, H., Lowe, A., & Al-Jumaily, A. (2007). Computer generated pathophysiological diagnoses during anaesthesia: 3AP4-1. In European Journal of Anaesthesiology (EJA) Vol. 24 (pp. 21). Munich: LWW.

  • Gohil, B., GholamhHosseini, H., Harrison, M. J., Lowe, A., & Al-Jumaily, A. (2007). Intelligent monitoring of critical pathological events during anesthesia. In Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE (pp. 4343-4346). Lyon.

  • Gholam Hosseini, H., Luo, D., Liu, H., & Xu, G. (2007). Intelligent processing of e-nose information for fish freshness assessment. In Proceedings of the Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 173-177). Melbourne.

  • Kilby, J., & Gholam Hosseini, H. (2006). Continuous Wavelet Transform Analysis for the Classification of Surface Electromyography Signals. In World Congress on Medical Physics and Biomedical Engineering 2006. Seoul.

  • Kilby, J., Mawston, G., & Gholam Hosseini, H. (2006). Continuous wavelet transform analysis for the classification of surface electromyography signal. In Proceedings of the World Congress on Medical Physics and Biomedical Engineering (pp. 1). Seoul.

  • Kilby, J., & Gholam Hosseini, H. (2006). Extracting effective features of SEMG using continuous wavelet transform. In Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1704-1707). New York.

  • Gholam Hosseini, H., Alizad, A., & Fatemi, M. (2006). Fusion of vibro-acoustography images and x-ray mammography. In Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 1 (pp. 2803-2806). New York.

  • Bhupendra, G., Harrison, M., Gholam Hosseini, H., Lowe, A., & Al Jumaily, A. (2006). Diagnostic alarms in anaesthesia. In Proceedings of the Medical Science Congress New Zealand 2006. .

  • Sim, C., Bigdeli, A., Thomson, J., Leong, M., & Gholamhosseini, H. (2005). DSP Implementation of Real-time Automated Face Detection and Recognition System for Portable Devices,. In Proceedings of 2005 Asia-Pacific Workshop on Visual Information Processing (VIP2005). Hong Kong.

  • Fan, C., Dadgostar, F., Sarrafzadeh, A., Gholamhosseini, H., & Johnson, M. (2005). Facial Expression Reconstruction Using Polygon Approximation. In Proceedings of the Seventh IASTED International Conference on Signal and Image Processing (SIP2005) (pp. 565-569). .

  • Gholamhosseini, H., Alizad, A., & Fatemi, M. (2005). Registration of Vibro-acoustography Images and X-ray Mammography. In Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. : IEEE.

  • Fan, C., Sarrafzadeh, A., Dadgostar, F., & Gholamhosseini, H. (2005). Facial Expression Analysis by Support Vector Regression. In Proceedings Image and Vision Computing New Zealand 2005 (pp. 311-316). .

  • Fan, C., Sarrafzadeh, A., Dadgostar, F., & Gholamhosseini, H. (2005). Face and Eye Detection Using Support Vector Machines. In FIRA RoboWorld Congress 2005. : National University of Singapore, Dept of Electrical and Electronic Engineering.

  • Sim, C., Bigdeli, A., Thomson, J., Leong, M., & Gholamhosseini, H. (2005). DSP implementation of real-time automated face detection and recognition system for portable devices. [Workshop]. In 2005 Asia-Pacific Workshop on Visual Information Processing (VIP2005). Hong Kong.

  • Gholamhosseini, H., Alizad, A., & Fatemi, M. (2005). Registration of Vibro-acoustography Images and X-ray Mammography. In Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. : IEEE.

  • Fan, C., Dadgostar, F., Sarrafzadeh, A., Gholamhosseini, H., & Johnson, M. (2005). Facial Expression Reconstruction Using Polygon Approximation. In Unknown Conference (pp. 565-569). .

  • Fan, C., Sarrafzadeh, A., Dadgostar, F., & Gholamhosseini, H. (2005). Facial Expression Analysis by Support Vector Regression. In Unknown Conference (pp. 311-316). .

  • Fan, C., Sarrafzadeh, A., Dadgostar, F., & Gholamhosseini, H. (2005). Face and Eye Detection Using Support Vector Machines. In FIRA RoboWorld Congress 2005. : National University of Singapore, Dept of Electrical and Electronic Engineering.

  • Gholam Hosseini, H., Alizad, A., & Fatemi, M. (2005). Registration of Vibro-acoustography Images and X-ray Mammography. In Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1846-1849). Shanghai.

  • Fan, C., Sarrafzadeh, A., Dadgostar, F., & Gholam Hosseini, H. (2005). Facial expression analysis by support vector regression. In Proceedings of the Image and Vision Computing New Zealand Conference (IVCNZ 2005 Vol. 1 (pp. 311-316). Dunedin.

  • Fan, C., Sarrafzadeh, A., Dadgostar, F., & Gholam Hosseini, H. (2005). Face and eye detection using support vector machines. In Proceedings of the Third International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS2005 (pp. 1). Singapore.

  • Kilby, J., & Gholamhosseini, H. (2004). Wavelet Analysis of Surface Electromyography Signals. In Proceedings of the 26th Annual International Conference of the IEEE EMBS (pp. 384-387). : IEEE.

  • Gholamhosseini, H., & Krechowec, Z. (2004). Facial Expression Analysis for Estimating Patient?s Emotional States in RPMS. In Unknown Conference (pp. 1517-1520). .

  • Hosseini, H. G. (2001). An intelligent and interactive biosignal analyser. In ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference (pp. 281-285). doi:10.1109/ANZIIS.2001.974091

Oral presentations

  • Gholamhosseini, H. (2007). Embedded Signal & Image Processing: Examples in odor control, medical imaging, and patient monitoring.

  • Gholam Hosseini, H. (2007). Current projects at the Signal and Image Processing Research Unit (SIPRU. AUT University, Technology Park, Penrose, Auckland.

  • Gholam Hosseini, H. (2006). Cigarette brand identification and fish freshness assessment using intelligent electronic noses. Guangdong University of Technology, China.

  • Gholamhosseini, H. (2005). Digital Signal and Image Processing Projects in Biomedical Engineering. Auckland, NZ.

Other outputs

  • Gholamhosseini, H. (2013). Bioelectronics and Medical Diagnostics. In J Biochips Tiss Chips (Iss. 1). doi:10.4172/2153-0777.1000107