2020 - IEEE Fellow For contributions to intelligent systems
The Canadian Academy of Engineering
Fakhri Karray spends much of his time researching Artificial intelligence, Fuzzy logic, Computer vision, Fuzzy control system and Control system. The study incorporates disciplines such as Machine learning, Pattern recognition, Speech recognition and Natural language processing in addition to Artificial intelligence. His Natural language processing study incorporates themes from Emotion recognition, Emotion classification and Information retrieval.
His Fuzzy logic research includes themes of Stochastic programming and Stochastic optimization. His work in the fields of Computer vision, such as Thresholding, overlaps with other areas such as Microaneurysm. Fakhri Karray works mostly in the field of Fuzzy control system, limiting it down to topics relating to Intelligent control and, in certain cases, PID controller, Gain scheduling and Industrial control system, as a part of the same area of interest.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Fuzzy logic, Machine learning and Data mining. Fakhri Karray has included themes like Speech recognition, Computer vision and Natural language processing in his Artificial intelligence study. His research in Natural language processing intersects with topics in Semantics and Information retrieval.
Fakhri Karray interconnects Subspace topology and Embedding in the investigation of issues within Pattern recognition. His Data mining research is multidisciplinary, incorporating perspectives in CURE data clustering algorithm and Cluster analysis. Fakhri Karray works mostly in the field of Fuzzy control system, limiting it down to topics relating to Intelligent control and, in certain cases, Control system and Control theory.
Fakhri Karray mainly focuses on Artificial intelligence, Pattern recognition, Deep learning, Subspace topology and Embedding. His Artificial intelligence study combines topics from a wide range of disciplines, such as Mean squared error and Machine learning. Fakhri Karray combines subjects such as Contextual image classification, Population decline and Creative visualization with his study of Machine learning.
His research investigates the connection with Pattern recognition and areas like MNIST database which intersect with concerns in Metric, Discrete cosine transform, Face and Information theory. The concepts of his Deep learning study are interwoven with issues in Recurrent neural network and Statistics, Missing data, Imputation, Time series. His work carried out in the field of Embedding brings together such families of science as Sampling, Manifold, Data mining and Dimensionality reduction.
Artificial intelligence, Pattern recognition, Deep learning, Linear discriminant analysis and Kernel are his primary areas of study. His study deals with a combination of Artificial intelligence and Pandemic. His Pattern recognition research is multidisciplinary, relying on both Subspace topology, Autoencoder and Metric.
He has researched Deep learning in several fields, including Field, Recurrent neural network and Categorization. His research in Linear discriminant analysis tackles topics such as Principal component analysis which are related to areas like Optimization problem, Kernel principal component analysis and Kernel method. His biological study spans a wide range of topics, including Pattern analysis, Process, Feature selection and Cluster analysis.
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Survey on speech emotion recognition: Features, classification schemes, and databases
Moataz El Ayadi;Mohamed S. Kamel;Fakhri Karray.
Pattern Recognition (2011)
Retinal vessel extraction by matched filter with first-order derivative of Gaussian
Bob Zhang;Lin Zhang;Lei Zhang;Fakhri Karray.
Computers in Biology and Medicine (2010)
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
Meindert Niemeijer;Bram van Ginneken;Michael J Cree;Atsushi Mizutani.
IEEE Transactions on Medical Imaging (2010)
Detection of microaneurysms using multi-scale correlation coefficients
Bob Zhang;Xiangqian Wu;Jane You;Qin Li.
Pattern Recognition (2010)
An Efficient Concept-Based Mining Model for Enhancing Text Clustering
S Shehata;F Karray;M S Kamel.
IEEE Transactions on Knowledge and Data Engineering (2010)
On the optimal number of hidden nodes in a neural network
N. Wanas;G. Auda;M.S. Kamel;F. Karray.
canadian conference on electrical and computer engineering (1998)
Multi-objective Feature Selection with NSGA II
Tarek M. Hamdani;Jin-Myung Won;Adel M. Alimi;Fakhri Karray.
international conference on adaptive and natural computing algorithms (2007)
A Robust Hybrid Intelligent Position/Force Control Scheme for Cooperative Manipulators
W. Gueaieb;F. Karray;S. Al-Sharhan.
IEEE-ASME Transactions on Mechatronics (2007)
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam;Fakhri Karray;Reda Alhajj;Jia Zeng.
IEEE Access (2021)
Fuzzy entropy: a brief survey
S. Al-sharhan;F. Karray;W. Gueaieb;O. Basir.
ieee international conference on fuzzy systems (2001)
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