Toronto Metropolitan University:
· EE8102 Statistical Inference (Signal Detection Theory)
[Graduate Level Course]
· ELE532/BME532 Signals and Systems I
(Lectures Notes + Interactive GUIs)
· ELE632/BME632 Signals and Systems II
· ELE639/BME639 Control Systems
Massachusetts Institute of Technology:
· 6.341 Discrete Signal Processing(semesters during 2002-2004)
Teaching Awards
- Dean’s
Teaching Award, Faculty of Engineering, Architecture and Science, Ryerson
(2010)
- EECS
Carlton E.
Tucker Award for Teaching Excellence, MIT (1998)
· Statistical Signal Processing
· Statistical Learning Theory and
Generalization
· Information Theory
· Data Denoising
· Data Compression
· System Modeling and Control
Research Laboratory: Signal and Information
Processing (SIP) Lab
Location:
ENG403, Toronto Metropoliran University Engineering Building
SIP LAB conducts research in the
broad areas of statistical signal processing theory and information theory,
with focus on detection theory, learning from data, data denoising and
compression, and model order(complexity) detection/selection. We develop
theories and algorithms for applications in data modeling and information
extraction. Our methods have been applied in various areas such as biomedical
signal and image processing, power spectrum estimation, and hyperspectral
imaging. Application and theory of our work tackle issues and problems with dimension reduction, feature extraction, data preprocessing and denoising, clustering and classition,
hyperparameter selection and generaliation in the area of machine learning.
Publications
Journal Articles:
- E. Naghsh, M. Danesh, and S. Beheshti,
“Unified left eigenvector (ULEV) for blind source separation”, Electronic Letters, Wiley 2021.
- S. Ghanbari Azar, S. Meshgini, S. Beheshti and T. Yousefi
Rezaii,
“ Linear Mixing Model with Scaled Bundle Dictionary for Hyperspectral Unmixing with Spectral Variability”, Signal Processing, Elsevier 2021.
(MATLAB
Code)
- S. Beheshti, E. Nidoy, and F. Rahman,
“K-MACE and Kernel K-MACE clustering”, IEEE Access, vol. 8, pp. 17390-17403, 2020.
- Y. Sadat-Nejad and S. Beheshti,
“Efficient High Resolution sLORETA in Brain Source Localization”, Journal of Neural Engineering, vol. 18, 2021.
- Y. Ali, S. Beheshti and F. Sharifi,
“Echocardiogram segmentation using active shape model and mean squared eigenvalue error”, Biomedical Signal Processing & Control, Elsevier, vol. 69, 2021.
- Y. Ali, F. Sharifi, and S. Beheshti,
“Echocardiographic Image Segmentation using Deep Res-U Network”, Biomedical Signal Processing & Control, Elsevier, vol. 64, 2021.
- S. Asadizadeh, T. Yousefi, S. Beheshti, A. Delpak, and S. Meshgini
“A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities”, Journal of Neuroscience Methods, https://doi.org/10.1016/j.jneumeth.2020.108740s, 2020.
- S. Ghanbari Azar, S. Meshgini, T. Yousefi
Rezaii and S. Beheshti
“ Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks”, Neurocomputing, Elsevier Volume 407, 24 September 2020, pp. 12-23, 2020.
- E. Naghsh, M. F. Sabahi, and S. Beheshti,
“Joint Preprocessing of Multiple Datasets to Enhance Source Separation”, IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1917-1921, 2019.
- E. Naghsh, M.F. Sabahi, and S. Beheshti,
“ Spatial Analysis of EEG Signals for Parkinson's Disease Stage Detection ”, Signal, Image and Video Processing (SIVP) , vol. 14, Issue 2, pp. 397-405, 2020.
- S. Beheshti and S. Sedghizadeh,
“Number of Source Signal Estimation by Mean Squared
Eigenvalue Error (MSEE)”, IEEE Transactions on Signal Processing, vol. 66, no. 21, pp. 5694-5704, 2018.
(MATLAB
Code)
- S. Eftekharifar, T. Yousefi, S. Beheshti, S. Daneshvar,
“Block Sparse Multi-lead ECG Compression Exploiting between-lead
Collaboration”, IET Signal Processing vol 13, pp. 46-55, 2019.
- S. Beheshti, A. Sahebalam and E. W. Nidoy,
“Structure Dependent Weather
Normalization”, Energy Science & Engineering, DOI: 10.1002/ese3.272, Wiley, 2019.
- S. Sedghizadeh and S. Beheshti,
“Data-driven Subspace Predictive Control: Stability and Horizon Tuning”, Journal of the Franklin Institute, vol. 355, Issue 15, pp. 7509-7547,
2018.
- S. Sedghizadeh and S. Beheshti,
“Particle swarm optimization based fuzzy gain scheduled subspace predictive control”, Engineering Applications of Artificial Intelligence, Elsevier vol. 67, pp. 331-344, 2018.
- T. Yousefi, S. Beheshti, M. Shamsi, and S. Eftekharifar,
“ECG signal compression and denoising via optimum sparsity order selection in compressed sensing
framework”, Biomedical Signal Processing and Control, Elsevier, vol. 41, pp. 161-171, 2018.
- Y. Naderahmadian, S. Beheshti, and M. Tinati,
“Correlation Based Online Dictionary Learning Algorithm”, IEEE Transactions on Signal Processing, vol. 64, no.3, pp. 592-602, 2016.
- M. Shahbaba and S. Beheshti,
“ Signature Test as Statistical Testing in Clustering ”, Signal, Image and Video Processing (SIVP) , 2016.
- M. Sharifymoghaddam, S. Beheshti, P. Elahi, and M. Hashemi,
“Similarity Validation Based Nonlocal Means Image Denoising”, IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2185-2188, Dec. 2015.
- S. Pouryazdian, S. Beheshti and S. Krishnan,
“ PARAFAC model order detection based on Reconstruction Error in the presence of Kronecker structured colored noise”, Digital Signal Processing no. 48, pp. 12-26, 2016.
- Y. Naderahmadian, M. Tinati and S. Beheshti,
“ Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning”, Signal Processing, vol. 118, pp. 89-96, January 2016.
- M. Hashemi, S. Beheshti, R. S.C. Cobbold, and N. Paul,
“ Subband Dependent Compressed Sensing in Local CT Reconstruction ”, Signal, Image and Video Processing (SIVP) , vol. 10, Issue 6, pp. 1009-1015, September 2016.
- M. Hashemi, S. Beheshti, R. S.C. Cobbold, and N. Paul,
“ Adaptive updating of regularization parameters ”, Signal Processing, vol. 113, pp. 228-233, August 2015.
- M. Rasooli, F.H. Foomany, K. Balasundaram, S. Masse, N. Zamiri, A. Ramadeen, X. Hu, P. Dorian,
K. Nanthakumar, S. Krishnan, S. Beheshti, K. Umapathy,
“ Analysis of Electrocardiogram Pre-shock Waveforms During Ventricular Fibrillation ”, Biomedical Signal
Processing and Control Journal, Volume 21, Pages 26-33, August 2015.
- S. Hashemi, S. Beheshti, P.
Gill, N. Paul and R. Cobbold,
“ Accelerated Compressed Sensing
Based CT Image Reconstruction ”, Computational and Mathematical Methods in
Medicine, vol. 2015, Article ID 161797, 16 pages, 2015.
- S. Hashemi Amroabadi, N. Paul, S.
Beheshti and R. Cobbold,
“ Adaptively Tuned Iterative Low
Dose CT Image Denoising ”, Computational and Mathematical Methods in
Medicine, vol. 2015, Article ID 638568, 12
pages, 2015.
- M. Shahbaba and S. Beheshti,
“MACE-means Clustering”, Signal Processing,, vol. 105, pp. 216-225, December 2014.
- M. Hashemi and S. Beheshti,
“Adaptive Bayesian Denoising for General Gaussian
Distributed (GGD) Signals”,
IEEE Transactions on Signal Processing, vol. 62 , no.5, pp. 1147-1156, March 2014.
- T. Yousefi, S. Beheshti, and M. Tinati,
“Efficient LED-SAC Sparse Estimator Using Fast Sequential Adaptive
Coordinate-Wise Optimization (LED-2SAC)”, Mathematical Problems in Engineering, vol.
2014, Article ID 317979, 8 pages, doi:10.1155/2014/317979, 2014.
- S. Cakir, T. Aytac, A. Yildirim, S. Beheshti, O. N. Gerek, and A. E. Cetin,
“Salient point region covariance descriptor for target tracking”, Optical Engineering 52(2):027207:1-13, 2013.
- T. Yousefi, M. Tinati, and S. Beheshti,
“Adaptive Efficient Sparse Estimator
Achieving Oracle Properties”, IET Signal Processing, vol. 7, no. 4, pp. 259-268, 2013.
- M. Farzam, S. Beheshti and M. Hashemi,
“ Adaptive noise variance estimation and intrinsic order selection
for low SNR hyperspectral signals”, Canadian Journal of Electrical and
Computer Engineering, vol.36 , no.1, pp. 4-10, 2013.
- T. Yousefi, M. Tinati, and S. Beheshti,
“Sparsity aware consistent and high precision variable selection”, Signal, Image and Video Processing, Vol. 8, Issue 8, pp. 1613-1624, Nov. 2014.
- M. Farzam and S. Beheshti,
“ Simultaneous Denoising and Intrinsic Order Selection in Hyperspectral Imaging
”, IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 9, pp. 3423-3436, Sept. 2011
- S. Beheshti, M. Hashemi, E. Sejdic, and T. Chau ,
“Mean square error estimation in thresholding”, IEEE Signal Processing Letters, vol. 18, no. 2, pp. 103-106, Feb. 2011
- S. Beheshti, M.Ravan, J. P. Reilly, and L. J. Trainor, “Mean square error in periodogram approaches
with adaptive windowing”,
IEEE
Transactions on Signal Processing, vol. 59, no. 3, pp. 923-935, March
2011.
- S. Beheshti, M.Hashemi, X.P.Zhang, and N.Nikvand, “Noisy invalidation denoising”, IEEE
Transactions on Signal Processing, vo. 58, no. 12, December
2010.
- S. Beheshti,and M.A. Dahleh, “Noisy data and impulse
response estimation”, IEEE
Transactions on Signal Processing, vol. 58, no. 2, pp. 510-521, Feb.
2010.
- M. Hashemi and S. Beheshti,
“Adaptive noise variance estimation in BayesShrink”, IEEE Signal Processing Letters,
vol. 17, no. 1, pp. 12-15, Jan. 2010.
- S. Beheshti, A. Fakhrzadeh, and S. Krishnan, “Noiseless
codelength in wavelet denoising”, EURASIP Journal on Advances in Signal Processing, vol. 2010,
Article ID 641842, 2010.
- M. Farzam and S. Beheshti,
“Endmember transformation and replacement in real time hyperspectral
unmixing”, International
Journal of Circuits, and Systems, and Signal Processing, vol.3, pp 181-189, 2009.
- S. Beheshti and M.A. Dahleh, “A new information
theoretic approach to signal denoising and best basis selection”, IEEE
Transactions on Signal Processing, vol 53, no. 10, pp. 3613-3624, Oct. 2005.
- S. Beheshti, S. H. Isabelle and G. W. Wornell, “Joint
intersymbol and multiple-access interference suppression algorithms for
CDMA systems”, European Transactions on Telecommunications,
Special Issue on Code-Division Multiple-Access Techniques for Wireless
Communication Systems, vol. 9, no. 5, pp 403-418, Sept./Oct. 1998 (Invited paper).
Conference Papers:
- F. Nassif and S. Beheshti
“Automatic Order Selection in Autoregressive Modeling with Application in EEG Sleep-Stage Classification”,
IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
- M. Shamsi and S. Beheshti
“Centrality based number of cluster estimation in Graph clustering”,
IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
- F. Nassif, T. Yousefi Rezaii, and S. Beheshti,
“ Pole-Zero REM Modeling with Application in EEG Artifact Removal”,
42nd Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'20), 2020.
- M. Shamsi, T. Yousefi Rezaii, and S. Beheshti,
“ MNDL Sparsity Order Selection in Compressed Sensing”,
42nd Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'20), 2020.
- Y. Sadatnejad and S. Beheshti,
“ Higher Resolution sLORETA (HR-sLORETA) in EEG Source Imaging”,
41st Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'19), 2019.
- M.Shamsi, F. Rahman, and S. Beheshti,
“ Correct Number of Clusters (CNC) Description Length in Arbitrary Shape Clustering”,
16th Canadian Workshop on Information
Theory (CWIT 2019) (Invited paper), 2019.
- Y. Sadatnejad and S. Beheshti,
“ Automated EEG Source Error Thresholding (AESET) in L2-Regularization Inverse Problems”,
16th Canadian
Workshop on Information Theory (CWIT 2019), 2019.
- F. Rahman and S. Beheshti,
“Kernel K-mace Clustering”, Asilomar Conference on Signals, Systems and Computers (ACSSC), 2018.
- Y. Naderahmadian and S. Beheshti,
“Generalized adaptive weighted recursive least squares dictionary learning for Retinal vessel inpainting”, IEEE Statistical Signal Processing Workshop (SSP), 2018.
- S. Sedghizadeh and S. Beheshti,
“Fuzzy Gain Scheduling of Subspace Predictive Controller”, American Control Conference (ACC), 2016.
- S. Pouryazdian, A. Chang, D. Bosnyak, L. J. Trainor, S. Beheshti, S. Krishnan,
“ Multi-Domain Feature Selection in Auditory MisMatch Negativity Via PARAFAC-Based
Template Matching Approach”,
38th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'16), 2016.
- A. Sahebalam, S. Beheshti, W. Khreich, and E. W. Nedoy
“A Novel Approach in Household Electricity Consumption Forecasting”,
29th Canadian Conference on Electrical and Computer Engineering (CCECE), 2016.
- S. Beheshti and A. Sahebalam,
“ Reconstruction-Error Distortion in LTI system modeling”,
29th Canadian Conference on Electrical and Computer Engineering (CCECE), 2016.
- A. Sahebalam and S. Beheshti,
“ Approximated Capacity Region of Gaussian Multiple-Access Relay Channel with Correlated Noises”,
IEEE Radio & Wireless Week (RWW2016), 2016.
- S. Pouryazdian, S. Beheshti, S. Krishnan, and T Bastos,
“ Localization of Brain Activities using Multiway Analysis of EEG Tensor Via EMD and Reassigned TF Representation”,
37th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'15), 2015.
- R. Godinez Tello, S. Pouryazdian, A. Ferreira, S. Beheshti, S. Krishnan, and T Bastos,
“A New Approach for SSVEP Detection Using PARAFAC and Canonical Correlation Analysis ”,
37th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'15), 2015.
- S. Pouryazdian,S. Beheshti, and S. Krishnan,
“Multi-way based Source Localization of Multichannel EEG signals Exploiting Hilbert-Huang Transform ”,
World Congress (WC2015) on Medical Physics and Biomedical
Engineering., 2015.
- Assad Sahebalam and S. Beheshti,
“Gaussian Multiple-Access Relay Channels with
Non-Causal Side Information at the Transmitters ”,
14th Canadian Workshop on Information Theory(CWIT15), 2015.
- Assad Sahebalam and S. Beheshti,
“ Competitive Clustering of Wireless Sensor Networks with Ultra-Wideband Multiple-Access Relay Channel”,
28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015.
- Y. Naderahmadian and S. Beheshti,
“ A Realistic Attack on SVD Based Watermarking Scheme
Scaling Attack”,
28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015.
- Y. Naderahmadian and S. Beheshti,
“ Robustness of Wavelet Domain Watermarking Against
Scaling Attack”,
28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015.
- M. Hashemi, Sh. Khayyer, A. Quach, H. Farooq, A.
Bargriz Farshi, and S. Beheshti,
“Electron Microscopy Image Restoration and Resolution Improvement using an
Example-based Super-Resolution Algorithm ”,
Biomedical Engineering Society (BMES), 2014.
- M. Hashemi, S. Beheshti, R. S.C. Cobbold, and N. Paul,
“ Non-Local Total Variation based Low-Dose Computed Tomography Denoising”,
36th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'14), 2014.
- M. Shahbaba and S. Beheshti,
“Efficient Unimodality Test In Clustering By Signature Testing”,
IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
- P. Elahi, S. Beheshti, and M. Hashemi,
“BM3D MRI denoising equipped with Noise Invalidation technique”,
IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
- M. Shahbaba and S. Beheshti,
“Model Verification of GMM Clustering Based
on Signature Testing”,
27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014.
- Rasooli M, Foomany FH, Balasundaram K, Masse S, Zamiri N, Ramadeen A, Hu X, Dorian P, Nanthakumar K, Beheshti S, Umapathy K.,
“ Blind source separation in characterizing ECG pre-shock waveforms during ventricular fibrillation.”,
35th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'13), 2013.
- M. Hashemi, S. Beheshti, P. R. Gill, N. Paul, and
R. S.C. Cobbold,
“Fast Fan/Parallel Beam CS-Based Low-Dose CT Reconstruction”,
IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
- S. Mostafaei, B. Wu and S. Beheshti,
“A Novel Hybrid Active Anti-Islanding Method For
Multi-Converter Fed Distributed Generation Systems”,
14th IEEE International Conference on Industrial Technology (ICIT 2013), 2013.
- A. Karami, S. Beheshti, M. Yazdi, and R. Moghaddam,
“Hyperspectral Image Compression Using 3d
Discrete Cosine Transform and Support Vector Machine Learning”,
11th
International Conference on Information Science, Signal Processing and Their Applications (ISSPA), 2012.
- M. Shahbaba and S. Beheshti,
“Improving X-means Clustering with MNDL”,
11th
International Conference on Information Science, Signal Processing and Their Applications (ISSPA), 2012.
- S. Pouryazdian, S. Beheshti, and S. Krishnan,
“Minimum Noiseless Description Length
(MNDL) Based Regularization Parameter Selection”,
11th
International Conference on Information Science, Signal Processing and Their Applications (ISSPA), 2012.
- M. Farzam and S. Beheshti,
“Robust hyperspectral signal unmixing in the presence of correlated noise”,
IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011.
- M. Hashemi and S. Beheshti,
“Adaptive Image Denoising by Rigorous BayesShrink Thresholding”,
IEEE International Workshop on Statistical Signal
Processing 2011 (SSP'11), 2011.
- M. Ravan and S.Beheshti,
“Speech recognition from adaptive windowing
PSD estimation”,
24th Canadian Conference on Electrical and Computer Engineering (CCECE), 2011.
- M.Farzam and S.Beheshti,
“Information Theoretic Assessment of
Correlated Noise in Hyperspectral Signal Unmixing”,
24th Canadian Conference on Electrical and Computer Engineering (CCECE), 2011.
- M. Hashemi and S. Beheshti, “Retrieving quantized signal from
its noisy version”, IEEE workshop on Signal Processing Systems(SiPS), 2010.
- M. Hashemi, S. Beheshti, and
M. Farzam, “Two stage quantization of noisy hyperspectral
images”, Queen’s Biennial
Symposium on Communications (QBSC), 2010.
- M.Farzam and S. Beheshti,
“The noiseless codelength concept in subspace estimation for low SNR
hyperspectral signals”,
IEEE
Pacific Rim Conference on Communications, Computers and Signal Processing
(PacRim), (Gold Paper Award Winner) 2009.
- M.Farzam and S.Beheshti,
“A Noiseless codelength
method to estimate dimensionality of hyperspectral
data”, IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009.
- M. Farzam and S. Beheshti, “Fast transition and replacement
(FTR) algorithm for real time hyperspectral imaging applications”, International Conference
on Remote Sensing (Best Paper),
2008.
- S. Beheshti,
“Kullback-Leibler Distance in parametric modeling”, IEEE international Symposium on Information Theory (ISIT), 2008.
- M. Farzam, S.Beheshti,
and K. Raahemifar,
“Calculation of abundance factors in hyperspectral imaging using
genetic algorithms”, Canadian Conference on Electrical and Computer Engineering (CCECE),
2008.
- S.
Beheshti and M. Ravan, “Adaptive windowing in
nonparameteric power spectral density estimation”, Canadian Conference on
Electrical and Computer Engineering (CCECE), 2008.
- N. Nikvand, S.
Beheshti, and X. Fernando, “Soft thresholding by noise
invalidation”, Queen’s Biennial Symposium on Communications (QBSC), 2008.
- S. Beheshti, “Data
compression and linear modeling”,Data Compression Conference (DCC), 2008.
- S. Beheshti and S. Pal,
“A new approach to nonparametric PSD estimation and optimum
windowing”, International Conference on Digital Signal Processing (DSP), 2007.
- A. Fakhrzadeh and S.
Beheshti, “Minimum noiseless description length (MNDL)
thresholding”, IEEE Symposium on Computational Intelligence in Image and Signal
Processing (CIISP), 2007.
- S. Pal and S.
Beheshti, “A new look at frequency resolution in power
spectral density estimation”, IEEE Symposium on Computational Intelligence in Image and Signal
Processing (CIISP), 2007.
- S. Beheshti, “A new
approach to order selection and parametric spectrum
estimation”, IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), vol. 3, pp. 520-523, 2006.
- S. Beheshti and M.A. Dahleh,
“LTI systems, additive noise and order estimation”, IEEE Conference on
Decision and Control (CDC), 2003.
- S. Beheshti and M.A. Dahleh,
“New information theoretic approach to order estimation problem”,
IFAC Symposium on
System Identification, 2003.
- S. Beheshti and M.A. Dahleh,
“A new minimum description length”, American Control Conference (ACC), 2003.
- S. Beheshti and M.A. Dahleh,
“Noise variance in signal denoising”, IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), 2003.
- S. Beheshti and M.A. Dahleh,
“On denoising and signal representation”, Mediterranean Conference on Control and Automation,
2002.
- S. Beheshti and M.A. Dahleh,
“On choice of impulse response length in channel
identification”, IEEE Pacific Rim Conference on Communications, Computers and Signal
Processing (PacRim), 2001.
- S. Beheshti and M.A. Dahleh,
“On model quality evaluation of stable LTI systems”, IEEE Conference on Decision and Control (CDC), 2000.
- S. Beheshti and G. W.
Wornell, “Iterative interference cancellation and decoding for
spread-signature CDMA systems”, IEEE Vehicular Technology Conference (VTC), 1997.
- Soosan Beheshti (Director)
- Khashayar Bayati (PhD Student, co-supervising with Dr. Umapathy)
- Eric Levy (MASc Student)
- Lucas Krome (MASc Student)
- Abbas Salemi Nezhad (PhD Student, co-supervising with Dr. Bagheri)
- Erfan Naghsh (Research Associate)
- Mahsa Bagheri (Post-Doctoral Fellow) Mitacs with Myant Inc.
Alumni
- Mahdi Shamsi (PhD)- Post Doctoral Fellow, McGill University
- Miaosen Zhou (Accelerated MASc)-Graduate student, Artificial Intelligence, San Jose State University
- Vedant Bommanahally (MASc)-Project Leader, Kingsmill Foods Company Limited
- Younes Sadat-Nejad (MASc)- PhD Student University of Toronto
- Saba Sedghizadeh (PhD)- Professor, Humber College, Canada
- Sarina Taki (MASc)
- Farah Nassif (Accelerated MASc) - Product Development Engineer 2 at AMD, Canada
- Ishtiaque Ahmed (MASc)- Business Analyst, WoodGreen Community Services, Canada
- Yasser Ali (PhD, co-supervised with Dr. Farrokh Sharifi)
- Edward Nidoy (MASc )- Layout Design Egineer, Alphawave, Canada
- Faizan Rahman (MASc)- Data Analyst, ATP, Canada
- Soufia Naseri (MEng)- AI Application Engineer, AIStorm Inc., Canada
- Erfan Naghsh (Visiting PhD), Lecturer, Esfahan University
- Asad Sahebalam (PostDoc)- Sr. Data Scientist, Powerline, San Francisco, USA
- Mehdi Shahbaba
(PhD)- Senior Data Scientist, Aviva, Canada
- Yashar Naderahmadian (Visiting PhD, Tabriz University) Assistant Prof. Guilan University)
- Lina Sharifymoghaddam
(MASc)- Site Reliability, DevOps, Cloud, Autodesk, Canada
- Hossain Rahnamaee (MASc)- Owner of Leadtrix Electrical Inc., Canada
- Saeed Pouryazdian (PhD, co-supervised with Dr. Sri Krishnan)- Data Scientist, Manulife, Canada
- Sasan Mostafaei (MASc, co-supervised with Dr. Bin Wu) - Manager, Danfoss Inc
- Masoud Hashemi (MASc) - PhD, University of Toronto - Applied Research Scientist - AI Trust & Governance Lab, ServiceNow Research, Canada
- Richard Sun (MASc, co-supervised with Dr. Venkatesh)- Developer at SAP, UofT, Canada
- Tohid Yousefi (visiting PhD Student)- Senior Researcher,Human Machine Interaction Lab, Huawei Technologies Canada
- Pegah Elahi
(MASc, Linkoping University) Market Insights Senior Specialist at BDO Canada
- Marzieh Rasooli
- Solutions Architect at Databricks, Canada
- Masoud Farzam (PhD)- Associate Teaching Professor, Ontario Tech University, Canada
- Nima Nikvand (MASc)- PhD, Waterloo University-Design Team Leader (DTL) at Ontario Power Generation, Canada
- Azadeh Fakhrzadeh (MASc)-PhD, Uppsala University, Sweden - Assistant professor, Iranian Research Organization for Science and Technology
- Mohammad Rahman (MEng) March Consulting Associates
- Maryam Ravan (Postdoctoral
Research Assistant)- Assistant Professor, New York Institute of Technology, NY, USA