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Signal Analysis Research Group

SARians

Prof. Sridhar (Sri) Krishnan received a B.E. degree in Electronics and Communication Engineering from the College of Engineering, Guindy, Anna University, Chennai, India, in 1993, and the M.Sc. and Ph.D. degrees (with student fellowship from Alberta Heritage Foundation for Medical Research) in Electrical and Computer Engineering from The University of Calgary, Calgary, Alberta, Canada, in 1996 and 1999 respectively. Sri Krishnan joined Ryerson University in July 1999, and is currently a Professor in the Department of Electrical and Computer Engineering. Since July 2011, he was an Associate Dean (Research) for the Faculty of Engineering, Architecture and Science. Dr. Krishnan became Interim Dean of the Faculty of Engineering, Architecture and Science in 2013.

From January 2002 to June 2010, Sri Krishnan held various administrative leadership positions in the Department of Electrical and Computer Engineering and the Faculty of Engineering, Architecture and Science. In 2010-2011, Sri Krishnan held Visiting Appointments in University of Rennes 1 (France), Grenoble Institute of Technology (France) and Indian Institute of Technology (Madras). Sri Krishnan is a registered Professional Engineer in the Province of Ontario, and is a Senior Member of IEEE (EMBS, SP, and CAS societies) and a Member of IET. He is the Founding Chair of IEEE Signal Processing Society, Toronto Section and Region 7 (Canada).

Sri Krishnan holds the Canada Research Chair position in Biomedical Signal Analysis. He is a receipient of the 2011 Sarwan Sahota Distinguished Scholar Award; 2010 Shastri Visiting Professorship; 2010 French Embassy Visiting Researcher; 2008 Ontario Research Innovation Award from Biodiscovery Toronto; 2007 Canadian Engineers' Young Engineer Achievement Award from Engineers’ Canada; 2006 New Pioneers Award in Science and Technology; 2006 South Asian Community Achiever Award; 2006 IEEE Toronto Section Best Chapter Chair Award; 2005 IEEE AESS Best Chapter Chair Award; 2005 IEEE Certificate of Appreciation from Six Societies; Five Best Research Paper Awards co-authored with his graduate students in International Conferences; and 2005 FEAS Research Excellence Award.

Sri Krishnan's research interests include adaptive signal representations and analysis and their applications in biomedicine, multimedia (audio), and biometrics. His academic interests include curriculum design, experiential learning, and global research and education.

Research Associate and Post Doctoral Fellows

Jeevan Pant holds Ph.D. degree in Signal Processing, which he completed from University of Victoria, BC, Canada in April 2012. During his Ph.D. program, his research activities were focused on the recovery of sparse signals for compressive sensing (CS) and optimization of measurements for CS. He also holds M.Sc. degree in Info. and Comm. Eng and B.E. degree in Electronics Eng both from Tribhuvan University, which he completed in 2003 and 1999, respectively. He recently joined Ryerson University to continue his research in the area of Sparse Biomedical Signal Processing under the supervision of Dr. Sridhar Krishnan.

From 2001 to 2008, Jeevan worked in the Department of Electronics and Computer Engineering of Tribhuvan University (TU) as a teaching assistant and as a faculty. His main activities at TU were doing research, teaching, and developing curriculum. In addition, he also planned and organized various short-term courses on computer networking.

Jeevan was awarded "University of Victoria graduate fellowship" from 2008 to 2009 and "Nepal Vidhya Bhusan "Kha" (Nepal Education Award "B")" award
in 2007.

Main Publications:

  • J. K. Pant, W.-S. Lu, and A. Antoniou, "Reconstruction of block-sparse signals by using an L2/p-regularized least-squares", IEEE Inter. Symp. Circuits and Syst., South Korea, May 2012.
  • J. K. Pant, W.-S. Lu, and A. Antoniou, "Unconstrained regularized Lp-norm based algorithm for the reconstruction of sparse signals", Proc. IEEE Inter. Symp. Circuits and Syst., pp. 1740-1743, May 2011.
     

PhD Candidates

Yashodhan Athavale is a PhD Candidate in the Electrical Engineering program at Ryerson University, studYashodhan is  is a PhD student in the Electrical and Computer Engineering program at Ryerson University under the supervision of Dr. Sri Krishnan. His research interests include biomedical signal processing, kernel-based machine learning techniques, actigraphy analysis and wearable data collection. Yashodhan holds a MASc. degree in Electrical and Computer Engineering from Ryerson University, and a B.Tech degree from Visvesvaraya National Institute of Technology, Nagpur, India. Yash has worked previously as a Research Engineer in the SAR lab and managed all the SAR-Industry partnered projects. His work included project management, algorithms' development and developing funding proposals. In his academic career, Yash has secured numerous awards including the Ryerson graduate award, Queen Elizabeth II Graduate Scholarships in Science & Technology and the Ontario Graduate Scholarship. He has also been awarded a Best Student Paper award, and a Best Design Project award at Ryerson University. He has authored and co-authored many noted conference and journal publications, and has also served as reviewer for many journals in biomedical signal processing.

Major Publications:

Y. Athavale, S. Krishnan, D. D. Dopsa, A. G. Berneshawi, H. Nouraei, A. Raissi, B. J. Murray and M. I. Boulos (2016), Research Article, Advanced signal analysis for the detection of periodic limb movements from bilateral ankle actigraphy, Journal of Sleep Research (Impact factor 3.22), July 26, 2016, doi: 10.1111/jsr.12438.  - Work done in PhD degree

Y. Athavale, S. Krishnan (2016), Review Article, Biosignal Monitoring using Wearables: Observations and Opportunities, Journal of Biomedical Signal Processing and Control, Elsevier (Impact factor 1.52), Accepted Sept. 2016, Manuscript ID: BSPC-D-16-00440R1. -  Work done in PhD degree

Y. Athavale, S. Krishnan, and A. Guergachi (2012), Research Article, Pattern Classification of Signals Using Fisher Kernels, Mathematical Problems in Engineering (Impact factor 0.762), Hindawi, Volume 2012, Article ID 467175, 15 pages - Work done in Master’s degree

Y. Athavale, M. Boulos, B. J. Murray, S. Krishnan, Classification of Periodic Limb Movement through actigraphy signal analysis, 2016 Canadian Medical & Biological Engineering Conference (CMBEC), Calgary, AB, Canada – Work done in PhD degree

L. Halachev*, A. Guergachi, Y. Athavale, Sri Krishnan (2010), Analysis of the Economic Sustainability of Companies in the Water Sector, 2010 International Congress on Environmental Modelling and Software, Ottawa, ON,  Canada, 2010 – Work done in Master’s degree

Y. Athavale, A. Guergachi, S. Krishnan, P. Hosseinizadeh (2009), Identifying the potential for failure of businesses in Technology, Banking and Pharmaceutical sectors using kernel-based machine learning methods, IEEE International Conference on Systems, Man and Cybernetics, 2009, SMC 2009, San Antonio, TX, Page(s): 1073-1077 – Work done in Master’s degree

Y. Athavale, S. Krishnan (2015), Poster – Challenges and Opportunities in home-based monitoring of cardiac dynamics, World Congress on Medical Physics & Biomedical Engineering, Toronto, Canada, June 2015– 

Y. Athavale, S. Krishnan (2015), Abstract and Presentation – Feature Extraction trends for biomedical signals, World Congress on Medical Physics & Biomedical Engineering, Toronto, Canada, June 2015– Work done as Research Engineer

Developed the following tools through NSERC Engage Grants – Work done as Research Engineer

o   Amyloid Plaque Detection System (APDS), PathCore Inc.

o   Automated Histological Image Classification System (AHICS), GE Healthcare Canada

o   Brain Stethoscope – EEG Sonification Application, Cerebral Diagnostics

o   Automated Content Moderation System (ACMS), Viafoura Inc.

o   Semi-Automated Leak Detection System (SALDS), Pure Technologies

o   Bio-Signals’ Tools Integration System (BTIS), NexJ Systems Inc.ying under supervision of Dr. Sri Krishnan.  

Saeed Pouryazdian is a PhD student in the Electrical and Computer Engineering program at Ryerson University under the supervision of Dr. Sri Krishnan and Dr. Soosan Beheshti. His research interests are biomedical signal analysis and Sparse Representation and Model Order Selection techniques and their application for biological signals. Saeed holds MSc degree in Biomedical Engineering-Bioelectric from Iran University of Science and Technology (IUST). During his MSc he was involved as a research assistant in the Brain-Computer Interface (BCI) laboratory of Neural Technology Research Center at IUST. Steady-State Visual Evoked Potentials (SSVEPs), recorded from the occipital region of the scalp, used as the input of the developed BCI in his thesis which enables the locked-in patients to operate a specific word processing program, without using their peripheral nerves and muscles, simply by gazing at a right flickering LED, which represents the desired character, on a visual stimulator panel.

Main Publications:

  • S. Pouryazdian, A. Erfanian, “Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces Using PCA and High-Order Statistics,” in Proc. 11th International Congress of the IUPESM, Germany, Sep. 2009
  • S. Pouryazdian, A. Erfanian, “A Visual Evoked Potential based Brain-Computer Interface: Improvement of performance using high-resolution spectral estimation methods,” in Proc. 17th Iranian Conference on Electrical Eng., Iran, May 2009.
     

Dharmendra Gurve (Guru) received the B.E. degree in Electronics and Communication Engineering from RGPV University, Bhopal, India, in 2012, and the M. Tech. degree in Electronics and Communication Engineering from National Institute of Technology, Jalandhar, India, in 2015. Currently Dharmendra is a PhD student in the Department of Electrical and Computer Engineering, Ryerson University.

From July 2012 to July 2013, Dharmendra worked in Starbru TechSystems as a Technical Associate. He also worked as Research Assistant in University of Mumbai for DRDO (Ministry of Defence, India) funded project from September 2015 to September 2016.   He is a student member of IEEE. He is Recognized Reviewer for Biomedical Signal Processing and Control – Elsevier Journal. He is also Reviewer for Digital Signal Processing – Elsevier Journal. Dharemndra’s research interests include Signal compression, Biofeedback, Signal Denosing, Biomedical signal analysis, Heart disease detection and image processing.

  • D. Gurve, B. S. Saini and I. Saini, "An improved lossless ECG data compression using ASCII character encoding," IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016, pp. 758-764.
  •  D. Gurve, H. Muthurajan, N E Prasad, A. Deshpande, A K Shrivastav, K Mukhopadhyay P. Karnik and P. Dongre, "Novel algorithm for coherence level measurement using R-R interval of ECG signal" IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016, pp. 2187-2191.
  • T. Jambholkar, D. Gurve and P. B. Sharma, "Application of Empirical Wavelet Transform (EWT) on images to explore Brain Tumor" IEEE International Conference on Signal Processing, Computing and Control (ISPCC), Waknaghat, 2015, pp. 200-204.
  • D. Gurve, B.S. Saini, I. Saini “An improved lossy and lossless combined ECG data compression using ASCII character encoding” International Journal of Medical Engineering and Informatics (IJMEI), Vol.8, No. 4, 2016
  • D. Gurve “Novel Approach for EEG Denoising Using R-L Zero Phase Filtering” ACM International Conference on Computer and Communication Technology (ICCCT), 2015, pp.169-164.  

                                                                 

Alice Rueda is currently pursuing her Ph.D. in ELCE. She is a registered P. Eng. She completed both her M. Sc. and B. Sc. degrees in ECE at the University of Manitoba. Alice has a strong background in data networking. She has designed the world’s first broadband wireless access system for a SME firm, and the design has resulted in Nortel’s acquisition of the company. She has numerous publications and has also been an invited guest speaker as well as a panelist for numerous conferences in the last 4 years. Alice is a data analytic enthusiast, a certified Datameer analyst, and an active member of Toronto’s data science community.

M.A.Sc Candidates

 

Sharadha Kolappan graduated with Honours from the Biomedical Engineering B.Eng. program at Ryerson University. In addition to the latter, she also holds an Honours B.Sc. degree from University of Toronto, majoring in Neuroscience and Psychology. Currently, she is pursuing her MASc. in the Biomedical Engineering program at Ryerson University, under Dr. Sri Krishnan’s Supervision. Her research interests include signal analysis and processing specifically in the field of sleep medicine.

Michael Zara is currently pursuing his MASc in Biomedical Engineering at Ryerson University under the supervision of Dr. Sri Krishnan. He graduated with honours in 2016, where he received his B.Eng in Biomedical Engineering from Ryerson University. Michael worked as a Research Assistant in the SAR Group during his undergrad, where he was involved in the collection and analysis of different biomedical signals from various wearable technologies. His general research interests lie in biomedical signal processing and its applications in healthcare technologies.

Wenjun(Winnie) Yang received the B.E. degree in electronics and information engineering from the College of Engineering, South China Agricultural University, Guangzhou, China, in 2015. She is pursuing the M.Sc. degree in the Department of Electrical and Computer Engineering, Ryerson University. Currently, she is working on the area of audio scene analysis(ASA). Her general research interests include audio signal processing, machine learning, data mining, and pattern recognition.Wenjun (Winnie) Yang

Research Engineers / Assistants

Giordano Arezza is very excited to be a Research Assistant in the SAR Laboratory under the supervision of Dr. Krishnan. He is working on the analysis of various signals ranging from hearing to electrocardiography. Giordana is currently pursuing a B.Eng degree of Biomedical Engineering from Ryerson University.

Hae Jung Cho is studying in the field of Biomedical Engineering, pursuing a Bachelor of Engineering degree. She is a Research Assistant working under the supervision of Dr. Sri Krishnan. Her research involves knowledge of Electromyography and is inquiring applications of EMG signals.

 

Name Thesis Title Program Year
Mario Garinga   MASc  2014
Karl Magtibay   MASc  2014
Muhammad Farhat Kaleem Empirical Analysis for Nonstationary Signal Denoising, Detrending and Discrimination Applications PhD
2014
Nastaran Rahnama Empirical Mode Decomposition and Analysis of Non-stationary Cardiac Signals MASc
2013
Mohammadreza Balouchestani Wireless Body Area Network Based on Compressed Sensing Theory PhD
2013
Lakshmi Sugavaneswaran Signal Analysis in the Ambiguity Domain PhD
2012
Xiaoli (Lisa) Li Sparse Signal Decomposition Techniques for Multimedia Fingerprinting PhD
2011
Hamid Asefi

Software-hardware analysis of Signal Feature Classification

MASc
2011
Yashodhan Athavale Pattern Classification of Time-Series Signals using Fisher Kernels and Support Vector Machines MASc
2010
Behnaz Ghoraani Time-frequency Feature Analysis PhD
2010
Mehrnaz Shokrollahi Signal Analysis of Sleep Electromyogram
MASc
2009
Elnaz Shokrollahi Signal Analysis for Cardiac Electrical Activation Studies
MASc
2009
Peyman Shokrollahi Signal Analysis of Sleep Electro-oculogram
MASc
2009
Nasim Shams Unsupervised Learning for Biomedical Applications
MASc
2009
Marjan M. Kusha Ventricular fibrillation detection algorithm for automated external defibrillators
MEng
2009
Beibei Jiao High level FPGA implementation of adaptive signal segmentation and autoregressive modeling techniques
MASc
2009
Ouarda Nedjah Denoising the CN Tower lightning current derivative signal using adaptive techniques
PhD
2008
Shynimol E. Thayilchira Faster and optimal detection of parametric shapes
MEng
2007
Mohammad Hossein Aram Multiresolutional characterization and mitigation of GNSS signal for robust positioning
MASc
2007
Tahir Farooq Prior-knowledge based Green's kernel for support vector regression
MASc
2007
Talieh Seyed Tabatabaei Speech-based human emotion recognition
MASc
2007
Randa Zarifeh Interference excision and filtering in spread spectrum communication systems
MPhil
2007
Harshitha Nallapareddy Parametric analysis of ultrasound backscattered signals for monitoring cancer cell structural changes
MEng
2006
Darioush Hosseinzadeh Signal processing for ubiquitous biometric systems
MASc
2006
April Ellahe Khademi Multiresolution analysis for classification and compression of medical images (Winner of Governor General Gold Medal)
MASc
2006
Chun(Richard) Hung An error resilient scheme of digital watermarking for MP3 streaming audio
MASc
2006
Jiming Yang Wavelet packets-based speech enhancement techniques for digital hearing aids
MASc
2006
Karthikeyan Umapathy Nonstationary signal feature extraction and analysis
PhD.
2006
Kambiz Jarrah Automatic content-based image retrieval using hierarchical clustering algorithms
MASc
2006
Fatos Myftari Noise reduction in hearing aids using spectral subtraction techniques
MEng
2005
Arunan Ramalingam Signal processing techniques for multimedia information security
MASc
2005
Lam Le Time-frequecy signal synthesis and its application in multimedia watermark detection
MASc
2005
Kaveh Seyed Momen Real-time classification of muscle signals from self-selected intentional movements
MASc
2005
Ying Shen Parametric time-frequency analysis and its applications in biomedical and multimedia
MASc
2005
Jasmin Thevaril Multi-channel analysis of EEG signals for screening alcoholics
MEng
2004
Farhana Parveen Model-based segmentation and analysis of knee sound signals
MEng
2004
Libo Zhang Perceptual data embedding in audio and speech signals
MASc
2004
Syed G. Quadri Indexing of American football video using MPEG-7 descriptors and MFCC features
MASc
2004
Xiaoli Li Application of grammar-based codes for lossless compression of digital mammograms
MASc
2004
Shahrzad Esmaili Content-based audio watermarking and retrieval using time-frequency analysis
MASc.
2004
Serhat Erkucuk Time-frequency analysis of spread spectrum based communication and audio watermarking systems (winner of Governor General Gold Medal)
MASc
2003
Junhong Chen Adaptive variable bit-rate speech coder for wireless applications
MEng
2003
Karthikeyan Umapathy Time-frequency Modelling of Wideband Speech and Audio
MPhil
2003

Research Assistants

Name Program Period Project Topic Institution
Post-doctoral Fellows
Shengkun Xie PDF 09/2010-08/2012 Sparse Signal Analysis
Ryerson
University (MITACS Elevate)
Behnaz Ghoraani PDF 09/2010-07/2012 AF Signal Analysis

Ryerson
University, UHN

Feng Jin PDF 08/2010 – 02/2012 Bioacoustical Signal Processing
Ryerson University
Yunfeng Wu
PDF
10/2008 – 11/2009
Biomedical Signal Analysis
Ryerson University
Karthi Umapathy
PDF

07/2006 – 07/2009

Electrogram Analysis
Univ. Health N/W;
Ryerson University
Sudarini Nadarajah
PDF
03/2003 – 08/2003
Arterial Pulse Analysis
Ryerson University
Visiting Research Assistants
Antoine Simomelli Visiting RA 05/2011 – 09/2011 Breath Sound Analysis
Rennes, France
Oto Janousek
Visiting RA

05/2009 – 07/2009

Cardiac Signal Analysis
Brno, Czech Republic
Andrea Niu
Visiting RA

05/2009 – 01/2010

JND and Watermarking
Beijing, China
Claire Winter
Visiting RA
02/2008 – 08/2008
Medical Image Analysis
Grenoble, France
Alexandre Rama
Visiting RA
02/2008 – 08/2008
Information Security
Grenoble, France
Sheela Sujueen
Visiting RA
01/2006 – 06/2006
Auditory Display
Univ. York, UK
Jonathan Marchal
Visiting RA
04/2005 – 07/2005
Soccer Video Retrieval
ENSIETA, France
Julien Bonnel
Visiting RA
02/2007 – 08/2007
Medical Image Analysis
Grenoble, France
Mathieu Parvaix
Visiting RA
02/2007 – 08/2007
Watermarking
Grenoble, France
Jose M. Cabellero
Visiting RA

05/2001 – 10/2001

Ultrasound Signal Analysis
Univ. Seville, Spain
Graduate Research Assistants
Beibei Jiao
RA

04/2009 – 10/2009

Hardware Implementation
Ryerson University
Behnaz Ghoraani
RA

09/2005 – 08/2005

Information Security
Ryerson University
Lam Le
RA
09/2005 – 06/2006
Information Security
Ryerson University
Libo Zhang
RA
11/2004 – 04/2005
Data Embedding
NRC;
Ryerson University
Farhan Quadri
RA
11/2004 – 03/2005
Arterial Pulse Analysis
Ryerson University
Jasmin Thevaril
RA
05/2001 – 09/2001
EEG Signal Analysis
Ryerson University
Pil Wilcox
RA
05/2000 – 09/2000
Audio Signal Processing
Ryerson University
Shyni Thayilchira
RA
05/2000 – 09/2000
Hough-Radon Transform
Ryerson University
Hongbo Sun
RA
09/2002 – 12/2002
Optical Signal Processing
Ryerson University
Garo Sinanian
RA
05/2002 – 12/2002
Knee Signal GUI
Ryerson University
Seyi Osuntokun
RA
05/2001 – 08/2001
Audio Signal Processing
Ryerson University
Undergraduate Research Assistants
Basmel Al-Saad RA 05/2012-08/2013 Biomedical Instrumentation
Ryerson University
Megha Tak MITACS RA 05/2013-07/2013 Sparse Package
DA-IICT, India
Cheng Peng MITACS RA 05/2012-07/2012 Sparse Package
Chengdu, China
Mehwish Sultan RA 05/2012-08/2012 SLI Signal Analysis
Ryerson University
Anirban Chatterjee MITACS RA 05/2011 – 07/2011 Matching Pursuits
BITS, Pilani, India
Bharath Kumar RA 05/2011 – 07/2011 Instantaneous Frequency
IIT-Madras
Mario Garingo RA 05/2010 – 08/2010 Sleep Signals
Ryerson University
Angela Ip
RA
05/2009 – 07/2009
ECG Analysis
Ryerson University
Navid Zohouri H. RA

05/2009 – 08/2009

Cardiac Technologies
Ryerson University
Golafsoun Ameri
NSERC USRA

05/2009 – 08/2009

Multiscale Biomedical Modeling
Ryerson University
Golafsoun Ameri
NSERC USRA
05/2008 – 08/2008
Short-time Fourier Trans.
Ryerson University
Peyman Shokrollahi
NSERC USRA
05/2007 – 08/2007
Sleep Signal Analysis
Ryerson University
Elnaz Shokrollahi
NSERC USRA
05/2007 – 08/2007
Ventricular Fibrillation
Ryerson University
Payam Moradashai RA
01/2006 – 08/2006
Information Security
Ryerson University
Elnaz Shokrollahi
NSERC USRA
05/2006 – 08/2006
Animal Sound Recognition
Ryerson University
Tahir Jaffer
NSERC USRA
05/2006 – 08/2006
Hearing Aids
Ryerson University
Mahsa Kowsari
NSERC USRA
05/2005 – 08/2005
EEG Signal Analysis
Ryerson University
Amir Faizi
NSERC USRA
05/2005 – 08/2005
Hearing Aids
Ryerson University
Mo Aram
NSERC USRA
05/2005 – 08/2005
GPS Signal Processing
Ryerson University
Baice Li RA
05/2005 – 08/2005
GPS Signal Processing
Ryerson University
Andre Chang RA
05/2004 – 08/2004
Biomedical Databases
Ryerson University
Danoush Hossein
NSERC USRA
05/2004 – 08/2004
Biometrics
Ryerson University
Jiming Yang
NSERC USRA
05/2003 – 08/2003
Hearing Aids
Ryerson University
Lam Le
NSERC USRA
05/2003 – 08/2003
Time-frequency
Ryerson University
Danoush Hossein RA
05/2003 – 08/2003
Arterial Pulse Analysis
Ryerson University
Sevim Kilinc
NSERC USRA
05/2002 – 08/2002
Hough-Radon Transform
Ryerson University
Lam Le RA
05/2002 – 08/2002
Time-frequency
Ryerson University
Marwan Al-Saiegh RA
05/2001 – 08/2001
Mammogram Image Compression
Ryerson University
Grade 11 FEAS ROPES Research Assistants
Mathura Vithyanathan ROPES RA 07/2011 – 08/2011 Gait Analysis
Ryerson University

Natalie Colantonio

ROPES RA

07/2009 – 08/2009

Sleep Physiology
Sunnybrook;
Ryerson University
Emily Ma* ROPES RA 07/2008 – 08/2008. Sleep Physiology
Sunnybrook;
Ryerson University

PhD Positions Available

The Signal Analysis Research (SAR) group has open research positions leading to Ph.D. studies in Electrical and Computer Engineering at Ryerson University. The candidate is expected to have a Masters degree in Electrical or Electronics or Biomedical Engineering. SAR group conducts research in the emerging areas of biomedical, multimedia, and satellite systems, and has industrial collaborations with local companies. The desirable candidate is expected to have a strong background and research potential/record in the areas of signal/image processing, pattern recognition, applied mathematics, and circuits and systems design. Interested candidates submit a  recent CV to Dr. Sri Krishnan at krishnan@ee.ryerson.ca, and quote the word "SAR_POS" in the email subject.