Engineer Signal Processing

Email: ********.*****@********.**

Mail: *-** Athabasca Hall,

University of Alberta,

Edmonton, Canada T6G2E8

Website: http://webdocs.cs.ualberta.ca/~fallen

I am in my 2nd year of a PhD in Computing Science at the University of Alberta, studying

under Professor Russ Greiner. I am interested in problems at the interface of biology and

computing science. I am currently investigating the feasibility of metabolite structure prediction

from mass spectrometry data using algorithmic and machine learning methods. Prior to

commencing my PhD, I worked at Cochlear for 4 years as a digital signal processing (DSP) and

embedded firmware engineer.

PhD Computing Science, University of Alberta, Canada (In progress since September 2010)

M. Biomedical Engineering, University of NSW, Sydney, Australia, 2005.

B. Eng. (Telecommunications) Hons Class 1 - University Medal, University of NSW, 2005.

Elected President, University of Alberta Computing Science Graduate Student s Association

(2011-2012)

University of Alberta iCORE Graduate Recruitment Scholarship (2010-2014)

UNSW University Medal (2005) - 1st. place in graduating class

NICTA Prize for Best 4th Year Telecommunications student at UNSW (2005)

IEE Prize for Excellence in Engineering (2005)

UNSW Faculty of Engineering Dean s Awards (2002, 2003)

UNSW Co-op Scholarship (2001-2005) - Industry sponsored undergraduate scholarship

Cochlear Ltd Digital Signal Processing Engineer (2006 2010)

I spent 4 years working in Cochlear s D&D department in their signal processing group.

Cochlear is an Australian-based manufacturer of cochlear implants. A cochlear implant is an

electrode array that is implanted into the inner ear. It provides hearing to the profoundly deaf via

direct electrical stimulation to the auditory nerves. Cochlear has 70% world market share with

over 100,000 patients implanted worldwide.

My work focused on the development of audio processing algorithms, and their implementation

on a custom embedded platform for commercial product release. This led me to acquire a range

of skills in signal processing, machine learning and software development (mostly in Python

and a custom assembly language).

Allen, F., Case, S., Holmberg, P., and Goorevich, M., Automatic Input Selection for a

Cochlear Implant Sound Processor, Conference on Implantable Auditory Prostheses, 2009.

Allen F., Input Selection for Auditory Devices, International Patent Application No.

PCT/AU2008/000867,Dec 2008.

Undergraduate Thesis - Automatic Language Identification (12 months)

I developed software for the a utomatic identification of spoken languages (C and Matlab). I investigated

several methods for improving the processing of the audio data. The most successful was a normalisation

method, previously used for Speaker Identification, which I showed could provide small improvements

for Language Identification.

Allen, F., Ambikairajah, E. and Epps, J. Language Identification using Warping and the Shifted Delta

Cepstrum, Proc. IEEE Int. Workshop on Multimedia Signal Processing, 2005.

Allen, F., Ambikairajah, E. and Epps, J. Warped Magnitude and Phase Features for Language

Identification, ICASSP, 2006.

Masters Project - Movement classification for home health monitoring using a tri -axial

accelerometer (6 months)

A health-monitoring device containing a tri-axial accelerometer had been designed by a previous student.

Data was captured from the device when attached at a person's waist during a series of movements. I

investigated methods for processing this data to classify the sequence of movements. I also proposed a

method for training models for each movement type using data from multiple people, adapted to a

specific person.

Allen F. R., Ambikairajah, E., Lovell N.H., Celler, B.G., Classification of a known sequence of motions

and postures from accelerometry data using adapted Gaussian mixture models, Physiol. Meas. 27

(2006) 935-951.

Allen F. R., Ambikairajah, E., Lovell N.H., Celler, B.G., An Adapted Gaussian Mixture Model Approach

to Accelerometry-Based Movement Classification Using Time-Domain Features, EMBC, 2006.

At the commencement of my engineering degree, I was awarded an industry-sponsored scholarship. This

provided a stipend throughout my undergraduate study and 1.5 years full-time work experience at 4

sponsor companies. As part of that, I spent 6 months each at Telstra and CSC in 2004. Telstra is

Australia s largest telecommunications company. CSC is a multi -national IT company. Both placements

primarily involved software development work. At Telstra it was web -based programming in PHP and

MySQL. At CSC it was Java.

I developed and managed the official website for Girl Guides Australia from 200 5-2010. I have also been

involved in community outreach programs aimed at encouraging girls to consider careers in science and

engineering. I have volunteered at summer schools, careers days and university events on numerous

occasions both in Canada and Australia.

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