Francis M. Bui

     Francis M. Bui  B.Sc., M.A.Sc., Ph.D.

    Associate Professor of Electrical and Computer Engineering (On Sabbatical Leave)

    Biography

    B.Sc. (Calgary)
    Ph.D. (Toronto)

    Francis M. Bui received the B.Sc. degree from the University of Calgary, and the Ph.D. degree from the University of Toronto. Currently, he is a faculty member in the Department of Electrical and Computer Engineering at the University of Saskatchewan.

    His research interests include information processing and optimization, with applications in communications and biomedical engineering. For more information visit his personal webpage: http://www.usask.ca/~francis.bui

    Publications

    For a complete List of Publications: http://www.usask.ca/~francis.bui/publications.html

    Selected Publications
    • H. Moosavi and F. M. Bui, "A Game-Theoretic Framework for Robust Optimal Intrusion Detection in Wireless Sensor Networks," IEEE Transactions on Information Forensics and Security, DOI: 10.1109/TIFS.2014.2332816, 2014
    • S. Sainju, F. M. Bui, K. A. Wahid, "Automated Bleeding Detection in Capsule Endoscopy Videos Using Statistical Features and Region Growing," Journal of Medical Systems, 38(4), pp. 1-11, 2014
    • F. Agrafioti, F. M. Bui, and D. Hatzinakos, “Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification,” Journal of Computer Networks and Communications — Special Issue on Healthcare Applications over Internet of Things, vol. 2012, no. Article ID 924791, pp. 1–11, 2012.
    • F. M. Bui and D. Hatzinakos, “Quality of Service Regulation in Secure Body Area Networks: System Modeling and Adaptation Methods,” EURASIP Journal on Wireless Communications and Networking — Special Issue on Advances in Body Communications, vol. 2011, no. 1, pp. 1–14, 2011.
    • F. M. Bui, F. Agrafioti, and D. Hatzinakos, “Electrocardiogram (ECG) Biometric for Robust Identification and Secure Communication,” in Biometrics: Theory, Methods and Applications, N. Boulgouris, E. Micheli-Tzanakou, and K. Plataniotis, Eds. IEEE Wiley, 2010, pp. 383–427.
    • F. M. Bui, K. Martin, H. Lu, K. N. Plataniotis, and D. Hatzinakos, “Fuzzy Key Binding Strategies Based on Quantization Index Modulation (QIM) for Biometric Encryption (BE) Applications,” IEEE Transactions on Information Forensics and Security, vol. 5, no. 1, pp. 118–132, Mar. 2010.
    • K. Martin, H. Lu, F. M. Bui, K. N. Plataniotis, and D. Hatzinakos, “A Biometric Encryption System for the Self-Exclusion Scenario of Face Recognition,” IEEE Systems Journal — Special Issue on Biometrics Systems, vol. 3, no. 4, pp. 440–450, Dec. 2009.
    • F. M. Bui and D. Hatzinakos, “Biometric Methods for Secure Communications in Body Sensor Networks: Resource-Efficient Key Management and Signal-Level Data Scrambling,” EURASIP Journal on Advances in Signal Processing — Special Issue on Advanced Signal Processing and Pattern Recognition Methods for Biometrics, vol. 2008, no. 1, pp. 1–17, 2008.

    Research Grants

    2013-2014

    • NSERC Engage Grant: Signal analysis for characterizing defects in HSTig arc welding systems

    2012-2013

    • NSERC Discovery Grant: Information Processing and Optimization for Smart Health Monitoring Systems
    • NSERC Engage Grant: Signal Processing Improvements for Precision Air Drills with Flow Sensing

    2011-2012

    • NSERC Engage Grant: Multisensor Data Fusion for Smart Monitoring in Water Quality Management

    Teaching

    • CME451.3 - Transport Networks
    • CME495.6 - Capstone Design Project
    • EE292.2 - Electrical Engineering Laboratory I
    • EE362.3 - Digital Signal Processing
    • EE811.3 - Digital Signal Processing for Communications
    • EE813.3 - Introduction to Pattern Recognition

    Research Projects

    Some projects investigated in our Information Processing & Optimization (IPOP) research group are currently in the following directions:

    • Biomedical Signal Processing and Applications: biometric security and privacy techniques based on physiological signals, with potential synergies and benefits for medical diagnoses.

    • Security and Resource Efficiency in Body Area Networks: applications considered in pervasive healthcare management, as well as personalized multimedia content delivery.

    • Sensor Networks for Environmental and Health Monitoring: smart monitoring solutions, based on machine learning as well as resource-efficient signal processing and communications.

    General Research Interests:

    • Information Security and Privacy: biometric systems and applications, electrocardiogram (ECG) biometric, body area networks (BAN), biometric encryption, fuzzy key binding, cryptography and steganography, digital watermarking, game-theoretic security.

    • Statistical Signal Processing and Optimization for Communications: wireless sensor networks (with applications in telemedicine and environmental monitoring), mobile channel modelling and equalization, mobile communication systems (DS-CDMA, OFDM, 4G systems), multiple-input multiple-output (MIMO) processing, resource allocation, nonlinear optimization, statistical pattern recognition, sparse representations and compressed sensing.

    • Biomedical Engineering: magnetic resonance imaging (MRI), medical imaging artifacts, endoscopic imaging, electrocardiogram (ECG) applications, gait analysis, bioinformatics, systems biology.