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My name is Ehsan Adeli*. I am a Faculty at Stanford University, School of Medicine, Computational Neuroscience Lab and a researcher at the Computer Science Department, Stanford AI Lab (SAIL), and Stanford Vision and Learning (SVL) lab. I work at the intersection of Machine Learning, Computer Vision, Computational Neuroscience, and Medical Image Analysis. Previously, I was a postdoctoral research associate at the University of North Carolina. During my Ph.D. studies, I was also a research scholar at the Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.

*I used to publish under the name 'Ehsan Adeli-Mosabbeb'. Mosabbeb is a suffix on my last name, and I decided to drop it in my publications, for simplicity.

Publications

2020

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection
Ehsan Adeli, X. Li, D. Kwon, Y. Zhang, K.M. Pohl
IEEE Transactions on Pattern Analysis And Machine Intelligence (PAMI) [PDF] [Code]
Population-guided large margin classifier for high-dimension low-sample-size problems
Q. Yin, Ehsan Adeli, L. Shen, D. Shen
Pattern Recognition [PDF]
Switching Structured Prediction for Simple and Complex Human Activity Recognition
M. Arzani, M. Fathy, A.A. Azirani, Ehsan Adeli
IEEE Transactions on Cybernetics, In Press, 2020.
Deep End-to-End One Class Classifier
M. Sabokrou, M. Fathy, G. Zhao, Ehsan Adeli
IEEE Transactions on Neural Networks and Learning Systems , In Press, 2020.
Adversarial Cross-Domain Action Recognition with Co-Attention (Oral Presentation)
B. Pan*, Z. Cao*, Ehsan Adeli, J.C. Niebles,
Association for the Advancement of Artificial Intelligence (AAAI), New York Midtown, New York, New York, USA, February 7-12, 2020.
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision (Oral Presentation)
K. Mangalam, Ehsan Adeli, K.H. Lee, A. Gaidon, J.C. Niebles,
Winter Conference on Applications of Computer Vision (WACV), Snowmass village, Colorado, March 2-5, 2020. [PDF]

2019

Self-Supervised Representation Learning via Neighborhood-Relational Encoding
M. Sabokrou, M. Khalooei, Ehsan Adeli
International Conference on Computer Vision (ICCV), Seoul, Korea, Oct 27-Nov 2, 2019 [PDF]
Imitation Learning for Human Pose Prediction
B. Wang, Ehsan Adeli, H.-K. Chiu, D.-A. Huang, J.C. Niebles
International Conference on Computer Vision (ICCV), Seoul, Korea, Oct 27-Nov 2, 2019 [PDF]
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
Q. Zhao, Ehsan Adeli, N. Honnorat, T. Leng, K.M. Pohl
Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, Oct 13-17, 2019 [PDF] [Code]
Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals
Ehsan Adeli, N.M. Zahr, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl
Biological Psychiatry: CNNI [PDF] [Commentary Paper on Our Work by Christine Fennema-Notestine from UCSD]
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation
S. Zhou, D. Nie, Ehsan Adeli, J. Yin, J. Lian, D. Shen
IEEE Transactions on Image Processing
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Q. Zhao, N. Honnorat, Ehsan Adeli, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl
Information Processing in Medical Imaging (IPMI), June 2-7, 2019, The Hong Kong University of Science and Technology [PDF] [Code]
Cascaded Multi-Task 3D Fully Convolutional Networks for Pancreas Segmentation
J. Xue, K. He, D. Nie, Ehsan Adeli, Z. Shi, S.-W. Lee, Y. Zheng, X. Liu, D. Li, D. Shen
IEEE Transactions on Cybernetics, In Press, 2019
FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation
H. Zhu, Ehsan Adeli, F. Shi, D. Shen
Neurocomputing, In Press, 2019
Unsupervised Feature Ranking and Selection Based on AutoEncoders
S. Sharifipour, H. Fayyazi, M. Sabokrou, Ehsan Adeli
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12-17 May, Brighton, UK
Action-Agnostic Human Pose Forecasting
H.-S. Kuang, Ehsan Adeli, B. Wang, D.-A. Huang, Juan Carlos Niebles
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Waikoloa, Hawaii, January 7-11 [PDF] [Code] [Video] [Poster]
Difficulty Aware Deep Networks with Confidence Learning for Medical Image Segmentation
D. Nie, L. Wang, L. Xiang, S. Zhou, Ehsan Adeli, D. Shen
AAAI 2019, Honolulu, Hawaii, January 27 – February 1 [Code]
Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages
D. Nie, J. Lu, H. Zhang, Ehsan Adeli, J. Wang, Z. Yu, L.Y. Liu, Q. Wang, J. Wu, D. Shen
Nature Scientific Reports, 2019
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Q. Zhao*, Ehsan Adeli*, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl,
MICCAI-Machine Learning in Medical Imaging (MICCAI-MLMI), Shenzhen, China, October 13, 2019. [PDF] [Code]
Generative Adversarial Irregularity Detection in Mammography Images
M. Ahmadi, M. Sabokrou, M. Fathy, R. Berangi, Ehsan Adeli
MICCAI PRedictive Intelligence in MEdicine (MICCAI-PRIME), Shenzhen, China, October 13, 2019. [Code]
Data Augmentation based on Substituting Regional MRI Volume Scores
T. Leng, Q. Zhao, C. Zhang, Z. Lu, Ehsan Adeli, K.M. Pohl
MICCAI-Large Scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI-LABELS), Shenzhen, China, October 13, 2019.
Covariance Shrinkage for Dynamic Functional Connectivity
N. Honnorat, Ehsan Adeli, Q. Zhao, A. Pfefferbaum, E. Sullivan, K. M. Pohl,
MICCAI Connectomics in NeuroImaging (MICCAI-CNI), Shenzhen, China, October 13, 2019.
PRedictive Intelligence in MEdicine (PRIME)
I. Rekik, Ehsan Adeli, S.H. Park (Eds.)
Lecture Notes in Computer Science 11843, © Springer Nature Switzerland AG 2018,
Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
[Download]
Adolescent Brain Cognitive Development Neurocognitive Prediction (ABCD-NP)
K.M. Pohl, W.K. Thompson, Ehsan Adeli, M.G. Linguraru (Eds.)
Lecture Notes in Computer Science 11791, © Springer Nature Switzerland AG 2019,
First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
[Download]

2018

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
Ehsan Adeli, K.-H. Thung, L. An, G. Wu, F. Shi, T. Wang, and D. Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018 [PDF]
Chained Regularization for Identifying Brain Patterns Specific to HIV Infection
Ehsan Adeli, D. Kwon, Q. Zhao, A. Pfefferbauma, N. M. Zahr, E. V. Sullivan, K. M. Pohl
NeuroImage, 2018 [PDF]
Multi-Label Transduction for Identifying Disease Comorbidity Patterns (Oral Presentation)
Ehsan Adeli, D. Kwon, K. M. Pohl
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, Granada, Spain [PDF]
Adversarially Learned One-Class Classifier for Novelty Detection
M. Sabokrou, M. Khalooie, M. Fathy, Ehsan Adeli
Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, UT, USA [PDF] [Code] [Presentation] [Poster]
PRedictive Intelligence in MEdicine (PRIME)
I. Rekik, G. Unal, Ehsan Adeli, S.H. Park (Eds.)
Lecture Notes in Computer Science 11121, © Springer Nature Switzerland AG 2018,
First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
[Download]
Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning
C. Zhang, Ehsan Adeli, Z. Wu, G. Li, W. Lin, D. Shen
IEEE Transactions on Medical Imaging (TMI) 2018
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks
S. Zhou, D. Nie, Ehsan Adeli, Y. Gao, L. Wang, J. Yin, D. Shen
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, Granada, Spain
AVID: Adversarial Visual Irregularity Detection
M. Sabokrou, M. Pourreza, M. Fayyaz, R. Entezari, M. Fathy, J. Gall, Ehsan Adeli
Asian Conference on Computer Vision (ACCV), 2018, Perth, Australia, Dec 2-6 [PDF]
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification (Oral Presentation)
S. Esmaeilzadeh, D. I. Belivanis, K. M. Pohl, Ehsan Adeli
Machine Learning in Medical Imaging (MLMI), MICCAI, 2018, Granada, Spain [PDF] [News]
Predictive Modeling of Longitudinal Data for Alzheimer’s Disease Diagnosis Using RNNs
M. Aghili, S. Tabarestani, M. Adjouadi, Ehsan Adeli
PRedictive Intelligence in MEdicine (PRIME), MICCAI, 2018, Granada, Spain
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis
M. Liu, J. Zhang, Ehsan Adeli, D. Shen
IEEE Transactions on Biomedical Engineering, 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S.H. Hasanpour, M. Rouhani, M. Fayyaz, M. Sabokrou, Ehsan Adeli
arXiv preprint, arXiv:1802.06205, 2018 [PDF] [Code]
Multi-Task Prediction of Infant Cognitive Scores from Longitudinal Incomplete Neuroimaging Data
Ehsan Adeli, Y. Meng, G. Li, W. Lin, and D. Shen
NeuroImage, 2018
3D Fully Convolutional Networks For Multi-Modal Isointense Infant Brain Image Segmentation
D. Nie, L. Wang, Ehsan Adeli, C. Lao, W. Lin, and D. Shen
IEEE Transactions on Cybernetics (CYB), 2018 [Code]
Conversion and Time-to-Conversion Predictions of Mild Cognitive Impairment using Low-Rank Affinity Pursuit Denoising and Matrix Completion
K.-H. Thung, Ehsan Adeli, P.-T. Yap, and D. Shen
Medical Image Analysis, Elsevier, 2018
Anatomy-guided Joint Tissue Segmentation and Topological Correction for 6-month Infant Brain MRI with Risk of Autism
L. Wang, G. Li, Ehsan Adeli, M. Liu, Z. Wu, and D. Shen
Human Brain Mapping, 2018
Exploring Diagnosis and Imaging Biomarkers of Parkinson's Disease via Iterative Canonical Correlation Analysis Based Feature Selection
L. Liu, Q. Wang, Ehsan Adeli, L. Zhang, H. Zhang, and D. Shen
Computerized Medical Imaging and Graphics, 2018
Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning (Oral Presentation)
C. Zhang, Ehsan Adeli, Z. Wang, G. Li, W. Lin, and D. Shen
IEEE International Symposium on Biomedical Imaging (ISBI'18), Washington DC, April 4-7, 2018
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis
C. Zhang, Ehsan Adeli, T. Zhou, X. Chen, and D. Shen
AAAI 2018, New Orleans, LA, USA, February 2–7, 2018 [PDF]

2017

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data
Ehsan Adeli, Y. Meng, G. Li, W. Lin, D. Shen
MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017 [PDF]
Deep Multi-Task Multi-Channel Learning for Joint Classification and Regression of Brain Status
M. Liu, J. Zhang, Ehsan Adeli, D. Shen
MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017 [PDF]
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data
X. Zhu, K.-H. Thung, Ehsan Adeli, Y. Zhang, D. Shen
MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017 [PDF]
Landmark-based Deep Multi-Instance Learning for Brain Disease Diagnosis
M. Liu, J. Zhang, Ehsan Adeli, D. Shen
Medical Image Analysis, Elsevier, 2017
Structured Prediction with Short/Long-Range Dependencies for Human Activity Recognition from Depth Skeleton Data (Oral Presentation)
M.M. Arzani, M. Fathy, H. Aghajan, K. Raahemifar, Ehsan Adeli
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017, Vancouver, Canada [PDF]
Consciousness Level and Recovery Outcome Prediction using High-Order Brain Functional Connectivity Network
X. Jia, H. Zhang, Ehsan Adeli, D. Shen
CNI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017
Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson's Disease
Ehsan Adeli, G. Wu, B. Saghafi, L. An, F. Shi, D. Shen
Nature, Scietific Reports 2017 [PDF] [ePDF] [Code]
Multi-Modal Classification of Neurodegenerative Disease by Progressive Graph-Based Transductive Learning
Z. Wang, X. Zhu, Ehsan Adeli, Y. Zhu, F. Nie, D. Shen, G. Wu
Medical Image Analysis, Elsevier, 2017
Brain Fingerprinting for Assessment of Infant Brain Development
Ehsan Adeli, Y. Meng, G. Li, W. Lin, D. Shen
OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017 [PDF]
Which one is a better marker for the Diagnosis of Parkinson’s Disease: T1 MRI or DTI
Ehsan Adeli, G. Wu, M.-J. Kim, D. Shen
ISMRM, Honolulu, HI, USA, April 22-27, 2017 [PDF]
Multi-modal Isointense Infant Brain Image Segmentation with Deep Learning based Methods
D. Nie, L. Wang, R. Trullo, Ehsan Adeli, W. Lin, D. Shen
ISMRM, Honolulu, HI, USA, April 22-27, 2017 [PDF]
A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis
L. An, Ehsan Adeli, M. Liu, J. Zhang, W.-W. Lee, D. Shen
Nature, Scietific Reports 2017 [ePDF]

2016

Machine Learning in Medical Imaging
L. Wang, Ehsan Adeli, Q. Wang, Y. Shi, H.-I. Suk (Eds.)
Lecture Notes in Computer Science 10019, © Springer International Publishing AG 2016,
7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
[Download]
Joint Feature-Sample Selection and Robust Diagnosis of Parkinson's Disease from MRI data
Ehsan Adeli, F. Shi, L. An, C.-Y. Wee, G. Wu, T. Wang, D. Shen
NeuroImage, 2016 [PDF] [Code]
Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation
L. An, P. Zhang, Ehsan Adeli, Y. Wang, G. Ma, F. Shi, D. Lalush, W. Lin, D. Shen
IEEE Transactions on Image Processing (TIP), 2016 [PDF]
Deep Relative Attributes
Y. Souri, E. Noury, Ehsan Adeli
Asian Conference on Computer Vision (ACCV) 2016 [PDF] [Code]
Stability-Weighted Matrix Completion of Incomplete Multi-Modal Data for Disease Diagnosis
K.-H. Thung, Ehsan Adeli, P. Yap, D. Shen
MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
3D Deep Learning for Multi-modal Imaging-guided Survival Time Prediction of Brain Tumor Patients (Oral Presentation)
D. Nie, H. Zhang, Ehsan Adeli, L. Liu, D. Shen
MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis
L. An, Ehsan Adeli, M. Liu, J. Zhang, D. Shen
MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
Progressive Graph-Based Transductive Learning for Multi-Modal Classification of Alzheimer’s Disease
Z. Wang, X. Zhu, Ehsan Adeli, Y. Zhu, C. Zu, F. Nie, D. Shen, G. Wu
MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease
L. Liu, Q. Wang, Ehsan Adeli, L. Zhang, H. Zhang, D. Shen
MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]

2015

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
Ehsan Adeli, K.-H. Thung, L. An, F. Shi, D. Shen
Neural Information Processing Systems (NIPS) 2015, Montréal, Canada, Dec. 7-12, 2015 [PDF]
Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer’s Disease Diagnosis
M. Liu, D. Zhang, Ehsan Adeli, D. Shen
IEEE Transactions on Biomedical Engineering [PDF]
Non-negative matrix completion for action detection
Ehsan Adeli, M. Fathy
Image and Vision Computing, Volume 39, July 2015, Pages 38-51 [PDF]
Medical Image Retrieval using Multi-Graph Learning for MCI Diagnostic Assistance
Y. Gao, Ehsan Adeli, M. Kim, P. Giannakopoulos, S. Haller, D. Shen
MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [PDF]
Joint Feature Sample Selection and Robust Classification for Parkinson's Disease Diagnosis
Ehsan Adeli, C-Y. Wee, L. An, F. Shi, D. Shen
MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015 [PDF]
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion
K.-H. Thung, Ehsan Adeli, P.-T. Yap, D. Shen
MICCAI 2015, Munich, Germany, Oct. 5–9, 2015 [PDF]
A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation
L. An, P. Zhang, Ehsan Adeli, Y. Wang, F. Shi, D. Shen
MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015 [PDF]
Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosis
M. Liu, D. Zhang, Ehsan Adeli, D. Shen
MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015 [PDF]

2014

A Multi-Label Weakly-supervised Approach for Discriminative Human Activity Recognition and Localization
Ehsan Adeli, R. Cabral, F. De la Torre, M. Fathy
Asian Conf. on Computer Vision (ACCV), Singapore, Singapore, November 1-5, 2014 [PDF]
Distributed Matrix Completion for Large-scale Multi-label Classification
Ehsan Adeli, M. Fathy
Intelligent Data Analysis Journal, 18 (6), 2014 [PDF]

2013

Multiview Human Activity Recognition in Distributed Camera Sensor Networks
Ehsan Adeli, K. Raahemifar, M. Fathy
Sensors Journal, 13(7), 8750-8770, 2013 [PDF]
Distributed Activity Recognition in Camera Networks via Distributed Low-Rank Matrix Recovery
Ehsan Adeli, K. Raahemifar, M. Fathy
ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, USA, Oct 29-Nov 1, 2013 [PDF]
Distributed Activity Recognition using Multi-view Consensus SVM
Ehsan Adeli, K. Raahemifar, M. Fathy
ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, USA, Oct 29-Nov 1, 2013 [PDF]

2011

Model-based Human Gait Tracking, 3D Reconstruction and Recognition in Uncalibrated Monocular Video
Ehsan Adeli, M. Fathy, F. Zargari
Imaging Science Journal, 59(5), 2011 [PDF]

2010

A Non-parametric Heuristic Algorithm for Convex and Non-Convex Data Clustering Based on Equipotential Surfaces
F. Bayat, Ehsan Adeli, F. Bayat, A. Jalali
Expert Systems with Applications, 37(4), 3318-3325, 2010 [PDF]
Source parameters estimation of 2003 Bam earthquake Mw 6.5 using empirical Green’s function method, based on an evolutionary approach
A. Nicknam, R. Abbasnia, Y. Eslamian, M. Bozorgnasab, Ehsan Adeli
Journal of Earth System Science 119(3), 2010 [PDF]

2009

Prediction of Significant Wave Height Using Regressive Support Vector Machines
J. Mahjoobi, Ehsan Adeli
Ocean Engineering 36(5), 339-347, 2009 [PDF]
Clustering Based Non-parametric Model for Shadow Detection in Video Sequences
Ehsan Adeli, H. Abbasian, M. Fathy
Image Processing, Computer Vision and Pattern Recognition, Lake Tahoe, Nevada, USA, 2009. [PDF]
Real-time Vehicle Detection Using a Fast Symmetry Detection Algorithm
N. Kouchmeshky, Ehsan Adeli, M. Fathy
14th National Computer Society of Iran Computer Conference (CSICC), Amirkabir University of Technology, Tehran, Iran, 2009 [PDF]

2008

A Novel Approach for Branch Buffer Consuming Power Reduction
B. Zamani, Ehsan Adeli, M. Soryani
IEEE Computer Society International Conference on Computer and Electrical Engineering, Taiwan, 2008 [PDF]
Compressed Domain Video Optical Flow Optimization Using Texture Analysis and Homography
S. M. Shariat-zadeh, Ehsan Adeli, M. Fathy
5th Iranian Conference on Machine Vision and Image Processing (MVIP), Tabriz, Iran, 2008 (Farsi). [PDF]
3D Reconstruction of Walking Human based on Human Gait Knowledge
Ehsan Adeli, M. Fathy
Conference on Image Processing, Computer Vision and Pattern Recognition, July 17-20, Nevada, USA, 2008 [PDF]
Kinematics Model-based Human Tracking in Monocular Video Sequences
Ehsan Adeli, M. Fathy
National Computer Society Iran Computer Conf. (CSICC08), Sharif University of Technology, Persian Gulf, Kish Island, Iran 2008, (Farsi) [PDF]
SHABaN Multi-Agent Team To Herd Cows
A. T. Rahmani, A. Saberi, M. Mohammadi, A. Nikanjam, Ehsan Adeli, M. Abdoos
In the Lecture Notes in Computer Science, Second Multi-Agent Programming Contest in association with Programming Multi-Agent Systems Conference, May 12-13, Estoril, Portugal 2008 [PDF]

2007

A Low-cost Strong Shadow-based Segmentation Approach for Vehicle Tracking in Congested Traffic Scenes
Ehsan Adeli, M. Sadeghi, M. Fathy
International Conference on Machine Vision, IEEE, Islamabad, Pakistan 2007 [PDF]
A Genetic Algorithm Based Model for Feature Selection and SVM Kernel Parameters Optimization
Ehsan Adeli, M. Fathy
First Joint Congress on Intelligent and Fuzzy Systems, Ferdowsi University of Mashhad, Iran 2007 (Farsi). [PDF]
Ensemble of Evolved Neural Networks with Augmenting Topology and Feature Selection
B. H. Helmi, Ehsan Adeli, M. Fathy
$15^{th}$ Iranian Conf. on Electrical Eng., Iran Telecommunication Research Center, 152-157, Tehran, Iran 2007 (Farsi). [PDF]
A New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation
Ehsan Adeli, M. Sadeghi, M. Fathy
3rd International Symposium on Visual Computing (ISVC), Part II, LNCS 4842, 427-436, Lake Tahoe, Nevada-California, November 26-28, 2007 [PDF]

Theses

Distributed Vision-based Approach for Human Activity Recognition
Spervisor: Prof. Mahmood Fathy
Ph.D. Thesis, Iran University of Science and Technology, 2013 [PDF]
Model-based Human Tracking/Gait Recognition in Monocular Video Sequences
Supervisors: Prof. Mahmood Fathy, Prof. Naser Mozayani
MSc thesis. [PDF]
Biometric Identification using Iris Recognition
Supervisor: Prof. Saied Abrishami
BS thesis

Course Content

Design and development of the course material for the Multimedia Systems course, in the form of audio-visual Sharable Content Objects (SCOs)
Iran University of Science and Technology, E-learning Department

Courses and Tutorials

     

Courses

        

Fall 2019

  CS337/MED277 AI-Assisted Healthcare, Department of Computer Science and Medicine, Stanford University   Webpage

2008-2016

  Fundamentals of Multimedia Systems, Computer Engineering & E-Learning, Iran University of Science and Technology   Slides Fa , En

2014

  Digital Image Processing - Graduate Course, Iran University of Science and Technology, Computer Engineering Dept.   Slides

2013

  Machine Learning - Graduate Course, Iran University of Science and Technology, Computer Engineering Dept.   Slides

2014

  Parallel Programming - Graduate Course   Slides

2009-2014

  Computer Graphics - Undergraduate Course, Iran University of Science and Technology, Information Technology E-Learning Dept.   Slides

2009-2011

  Fundamentals of Artificial Intelligence - Undergraduate Course   Slides

2009-2011

  Data Structures and Fundamentals of Algorithms - Undergraduate Course   Slides
 

Tutorials

 

2011

  Tutorial on OpenCV for Computer Vision and Machine Learning, 8th International Conference on Machine Vision and Image Processing (MVIP)   Slides