Farook Sattar
@farooksattar
I am a signal-processing researcher specializing in biomedical and acoustic machine learning.
What I'm looking for
I am a signal-processing researcher with a PhD and over three decades of academic and industry experience across Canada, Europe and Asia.
I have published more than 140 refereed papers and led R&D projects on bio-signal monitoring, passive acoustic monitoring and next-generation intelligent vehicular networks, while supervising graduate students and serving as principal investigator for ONC and NSERC-funded efforts.
My technical strengths include machine learning, deep learning, time-series and audio/acoustic signal processing, bioacoustics, wearable sensors and large-scale data analysis, supported by extensive experience with MATLAB and Python.
I contribute to the field as an editor and guest editor for multiple journals and seek collaborative research and R&D leadership roles that translate advanced signal-processing methods into impactful applications.
Experience
Work history, roles, and key accomplishments
Associate Academic Member
University of Victoria
Jan 2015 - Present (10 years 7 months)
Investigator and graduate student supervisor on Ocean Networks Canada projects, leading research in bioacoustics and biomedical signal analysis since 2015.
Research Consultant
EERS Global Tech. Inc
Nov 2021 - Apr 2022 (5 months)
Led an R&D project on bio-signal monitoring using IMU sensors, developing algorithms for wearable sensor data analysis.
Affiliate Scientist
Toronto Rehabilitation Institute
Jan 2014 - Dec 2014 (11 months)
Led a research project applying biomedical signal processing and machine learning to dysarthric speech data, producing analytic models for speech assessment.
Team lead for the NSERC-DIVA project developing next-generation intelligent vehicular networks and related signal processing methods.
Research Scholar
Ocean Networks Canada
Aug 2010 - Oct 2011 (1 year 2 months)
Investigator on a CANARIE project collaborating with ONC on passive acoustic monitoring using hydrophone data and large-scale acoustic datasets.
Associate Professor
University of Malaya
Jul 2009 - Jun 2010 (11 months)
Delivered teaching, curriculum development, student supervision, and research leading to publications while serving in the Faculty of Computer Science and Information Technology.
Taught undergraduate and postgraduate courses, led research programs, and supervised students across electrical and electronic engineering over a ten-year appointment.
Conducted research on document image processing and contributed to related publications and prototypes.
Research Associate
Lund University
Nov 1996 - Oct 1997 (11 months)
Conducted time-frequency analysis of atrial fibrillation signals in collaboration with Lund Hospital, contributing to biomedical signal research.
Research Assistant
Lund University
Jan 1991 - Sep 1996 (5 years 8 months)
Undertook PhD research in signal processing and supported undergraduate teaching, contributing to publications and lab instruction.
Teaching Assistant
Bangladesh University of Engineering and Technology
Jun 1989 - Dec 1990 (1 year 6 months)
Supervised undergraduate labs and supported MEng research, delivering tutorials and laboratory instruction in engineering courses.
Education
Degrees, certifications, and relevant coursework
Lund University
Doctor of Philosophy, Electrical Engineering
Completed Doctor of Philosophy at Lund University in 1996.
Lund University
Technical Licentiate, Electrical Engineering
Completed Technical Licentiate (equivalent between MEng and PhD) at Lund University in 1993.
Bangladesh University of Engineering and Technology
Master of Engineering, Electrical Engineering
Completed Master of Engineering at Bangladesh University of Engineering and Technology in 1991.
Bangladesh University of Engineering and Technology
Bachelor of Engineering, Electrical Engineering
Grade: First Class (Honors)
Completed Bachelor of Engineering (First Class Honours) at Bangladesh University of Engineering and Technology in 1988.
Availability
Location
Authorized to work in
Job categories
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