1. Graduate Dean’s citation award 2011.
2. IEEE outstanding CECS student award 2011.
3. Invited member – Golden Key International Honor Society.
4. Graduate Research Assistantship – University of Louisville.
5. Promoted to job grade 12 using the HAY evaluation method within STMicroelectronics on March 2004.

 
Full Professor at King Saud University
College of Computer and Information Sciences. Computer Science department.
From September 2021 – Present

Associate Professor at King Saud University
College of Computer and Information Sciences. Computer Science department.
From March 2017 – September 2021.
 
Assistant Professor at King Saud University
College of Computer and Information Sciences. Computer Science department. From September 2011 – March 2017.
 
Graduate Research Assistant
Multimedia Research Lab, CECS, UofL. From August 2006 – May 2011.
Graduate Research Assistant:  Extensive experience with image processing and machine learning techniques. More specifically, I worked on the development and the implementation of Content-based Image Retrieval (CBIR) and annotation prototype that takes advantage of the developed algorithms for efficient web image annotation and retrieval. Also, I developed machine learning algorithms that integrate visual features with textual keywords, summarize, and organize data repositories.
 
Design and Development Engineer
STMicroelectronics, Ariana, Tunisia.  From June 2002 - June 2006.
Design and Development engineer involved in the validation of 8-bits ST microcontroller tools. I was leading the design/development team of 8-bits ST microcontroller tools.
 
Design and Development Engineer Intern
STMicroelectronics, Ariana, Tunisia.  From February 2002 - June 2002.
Graduation Project:  Design and Development of validation platform for MDT50 emulator.
 
Electrical Engineer Intern
Poulina Group, Tunis, Tunisia. From July-August 2001.  
Study and empirical comparison of several pressure sensors.

Publications

Sarah Alkadi, Saad Al-Ahmadi and Mohamed Maher Ben Ismail, “RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic”, Sensors, Vol. xx, No. xx, pp. xxx, 2024. [To appear]

Nasser A Alsadhan, Shatha Ali Alamri, Mohamed Maher Ben Ismail, Ouiem Bchir, “SKIN CANCER RECOGNITION USING UNIFIED DEEP CONVOLUTIONAL NEURAL NETWORKS”, Cancers, Vol. 16, No. 7, pp. 1246, 2024.

Norah Alhussainan, Belgacem Ben Yousef and Mohamed Maher Ben Ismail, “A Deep Learning Approach for Brain Tumor Firmness Detection based on Five Different YOLO Versions: YOLOv3-YOLOv7”, Computation, Vol. 12, No. 03, pp. 44, 2024.

Mohamed Maher Ben Ismail, Shuruq Salem Alshehri and Ouiem Bchir, “Simultaneous deep learning based classification and regression for company bankruptcy prediction”, Journal of Business & Economic Management, Vol. 11, No. 05, pp. 078-094, 2023.

Ouiem Bchir and Mohamed Maher Ben Ismail, “A NOVEL FUZZY UNSUPERVISED FEATURE LEARNING APPROACH”, International Journal of Computational Intelligence and Applications, Vol. 22, No. 1, 2023.

Majed AlGarni and Mohamed Maher Ben Ismail, “Application of Artificial Intelligence for Information Diffusion Prediction: Regression-Based Key Features Models”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 14, No. 10, 2023.

Majed AlGarni and Mohamed Maher Ben Ismail, “A Dynamic Deep-Learning Approach for Predicting Information Diffusion”, International Journal of Advances in Soft Computing and Its Applications (IJASCA), Vol. 15, No. 3, 2023.

Sarah Alfayez, Ouiem Bchir, and Mohamed Maher Ben Ismail. "Dynamic Depth Learning in Stacked Autoencoders" Applied Sciences Vol. 13, No. 09, 10994, 2023.

Mona Suliman AlZuhair, Mohamed Maher Ben Ismail and Ouiem Bchir, “Soft Semi-supervised Deep Learning-Based Clustering”, Applied Sciences, Vol.13, No. 17:9673, 2023.

Sarah Alkadi, Saad Al-Ahmadi and Mohamed Maher Ben Ismail, “Toward an Improved Machine Learning based Intrusion Detection for IoT Traffic”, Computers, Vol. 12, No. 8, pp. 148, 2023.

Sarah Alkadi, Saad Al-Ahmadi and Mohamed Maher Ben Ismail, “Better Safe than Never: A Survey on Adversarial Machine Learning Applications towards IoT Environment”, Applied Sciences, Vol. 13, No. 10, pp. 6001, 2023.

Mohamed Maher Ben Ismail and Nasser AlSadhan, “Simultaneous Classification and Regression for Zakat Under-Reporting Detection”, Applied Sciences, Vol. 13, No. 9, pp. 5244, 2023.

Mohamed Maher Ben Ismail, “Insult detection using a partitional CNN-LSTM model”, Int. J. Data Analysis Techniques and Strategies, Vol. 14, No. 4, pp.  pp 336-349, 2023.

Arwa Turki, Ouiem Bchir and Mohamed Maher Ben Ismail, “Depth-Adaptive Deep Neural Network Based on Learning Layer Relevance Weights”, Applied Sciences, Vol. 13, No. 1, pp. 398, 2023.

Haifa Alyahya, Mohamed Maher Ben Ismail and Abdulmalik Al-Salman, “Intelligent ResNet-18 based Approach for Recognizing and Assessing Arabic Children's Handwriting”, International Conference on Smart Computing and Application (ICSCA2022), December 4-5, Hail, KSA, 2022.

Tahani Almutairi, Mohamed Maher Ben Ismail and Ouiem Bchir, “X-ray based COVID-19 Classification using Lightweight EfficientNet”, Journal on Artificial Intelligence, Vol.4, No.3, pp. 167-187, 2022.

Altuwayjiri, Sarah Mohammed, Ouiem Bchir, and Mohamed Maher Ben Ismail. "Generalized Replay Spoofing Countermeasure Based on Combining Local Subclassification Models" Applied Sciences Vol. 12, No. 22, 11742, 2022.

Norah Alhussainan, Belgacem Ben Yousef and Mohamed Maher Ben Ismail, “A Deep Learning Approach for Brain Tumor Firmness Detection using YOLOv4”, 45^th International Conference on Telecommunications and Signal processing, pp. 342-348, July 13-15, Prague, Czech Republic, 2022.

Sarah Altuwayjiri, Ouiem Bchir and Mohamed Maher Ben Ismail, “Mining Hidden Partitions of Voice Utterances using Fuzzy Clustering for Generalized Voice Spoofing Countermeasures”, International Journal of Advanced Computer Science and Applications, Vol. 13, No. 05, 2022.

Haya Shujaa Aldawsari, Zainab Alshingiti and Mohamed Maher Ben Ismail, “Sentiment Analysis based on COVID-19 Vaccination Tweets in Saudi Arabia”, Int. Conf. on Artificial Intelligence & Modern Assistive Technology (ICAIMAT), Riyadh, May 17-19, 2022.

Batool Yahya AlKharaim, Mohamed Maher Ben Ismail and Ouiem Bchir,“Arabic Sign Language Recognition using Lightweight CNN-Based Architecture”, International Journal of Advanced Computer Science and Applications, Vol. 13, No. 04, 2022.

Arwa Turki, Ouiem Bchir and Mohamed Maher Ben Ismail, “Joint Deep Clustering: Classification and Review”, International Journal of Advanced Computer Science and Applications, Vol. 12, No. 10, 2021.

Rahaf Alawwad, Ouiem Bchir and Mohamed Maher Ben Ismail, “Arabic Sign Language Recognition using Faster R-CNN”, International Journal of Advanced Computer Science and Applications, Vol. 12, No. 3, pp. 692-700, 2021.

Norah Asiri, Ouiem Bchir, Mohamed Maher Ben Ismail, Mohammed Zakariah, Yousef Alotaibi, “Image based Smoke Detection using Feature Mapping and Discrimination”, Soft Computing, Vol. 25, No. 5, 3665-3674, 2021.

Mnahi Alqahtani, Hassan Mathkour and Mohamed Maher Ben Ismail, “IoT-botnet Attack Detection based on Optimized Extreme Gradient Boosting and Feature Selection”, Sensors, Vol. 20, No. 21, pp. 6336, 2020.

Haifa Alyahya, Mohamed Maher Ben Ismail and AbdulMalik Al-Salman, “Deep Ensemble Neural Networks for Recognizing Isolated Arabic Handwritten Characters”, ACCENTS Transactions on Image Processing and Computer Vision, Vol. 6, No. 2, pp. 68-79, 2020.

Ouiem Bchir, Mohamed Maher Ben Ismail and Sara Algarni, “SUPPORT KERNEL CLASSIFICATION: A NEW KERNEL-BASED APPROACH”, International Journal of Advanced Computer Science and Applications, Vol. 11, No. 10, pp. 17-26, 2020.

Mohamed Maher Ben Ismail, Reema Alabdullatif and Ouiem Bchir, “ALZHEIMER’S DISEASE DETECTION USING NEIGHBORHOOD COMPONENTS ANALYSIS AND FEATURE SELECTION”, International Journal of Advanced Computer Science and Applications, Vol. 11, No. 10, pp. 8-16, 2020.

Sarah Badr AlSumairi and Mohamed Maher Ben Ismail, “X-Ray Image based Pneumonia Classification using Convolutional Neural Networks”, ACCENTS Transactions on Image Processing and Computer Vision, Vol. 6, No. 20, pp. 54-67, 2020.

Ghada Hader, Mohamed Maher Ben Ismail and Ouiem Bchir, “Automatic Fall Detection using Region-based Convolutional Neural Network”, International Journal of Injury Control and Safety Promotion, DOI: 10.1080/17457300.2020.1819341, 2020.

Ouiem Bchir, Mohamed Maher Ben Ismail, et al., “Intelligent Child Monitoring System”, International Journal of Image Processing (IJIP), Vol. 14, No. 3, pp. 30-44, 2020.

Norah Ibrahim Fantoukh, Mohamed Maher Ben Ismail, and Ouiem Bchir, “Automatic Determination of the Number of Clusters for Semi- Supervised Relational Fuzzy Clustering”, International Journal of Fuzzy Logic and Intelligent Systems, Vol. 20, No. 2, pp. 156-167, 2020.

Atheer AlKubeyyer, Mohamed Maher Ben Ismail, Ouiem Bchir and Metab Alkubeyyer, “Automatic Detection of the Meningioma Tumor Firmness in MRI Images”, Journal of X-Ray Science and Technology, Vol. 28, No. 4, pp. 659 – 682, 2020.

Mohamed Maher Ben Ismail, “Local Ensemble Approach for Meningioma Tumor Firmness Detection in MRI Images”, Proceedings of the International Conference on Image, Video and Signal Processing (IVSP '20), pp. 45–50, doi.org/10.1145/3388818.3389158, Hong Kong, March 2020.

Mohamed Maher Ben Ismail, Arwa AlGabas and Ouiem Bchir, “FALL DETECTION USING THE HISTOGRAM OF ORIENTED GRADIENTS AND DECISION BASED FUSION”, Journal of Computer Science, Vol. 16, No. 2, pp. 257-265, 2020.

Abeer almohamade, Ouiem Bchir, Mohamed Maher Ben Ismail, “Multiple Query Content Based Image Retrieval using Relevance Feature Weights Learning”, Journal of Imaging, Vol 6, No. 1, pp. 2-14, 2020.

Mohamed Maher Ben Ismail, Sara N. Alfaraj, and Ouiem Bchir, “Automatic Image Annotation using Possibilistic Clustering Algorithm”, International Journal of Fuzzy Logic and Intelligent Systems, Vol. 19, No. 4, pp. 250-262, 2019.

Mnahi Alqahtani, Abdu Gumaei, Hassan Mathkour, Mohamed Maher Ben Ismail, “A Genetic-based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks”, Sensors, Vol. 19, No. 20, pp. 4383, 2019.

Md. Saiful Islam, Mohamed Maher Ben Ismail, Ouiem Bchir, Mohammed Zakariah, Yousef Ajami Alotaibi, “Robust Detection of Atrial Fibrillation Using Classification of a Linearly-Transformed Window of R-R Intervals Tachogram”. IEEE Access, Vol. 7, pp. 110012-110022, 2019.

Ouiem Bchir, Mohamed Maher Ben Ismail and Nora Asiri, “Image Based Smoke Detection Using Source Separation”, SPECTROSCOPY AND SPECTRAL ANALYSIS, Vol. 39, No. 3, pp. 982-989, 2019.

Ouiem Bchir, Mohamed Maher Ben Ismail and Nada Al-Zahrani, “Multiple Bleeding Detection in Wireless Capsule Endoscopy”, Signal, Image and Video Processing (SIVP), Vol. 13, No. 1, pp. 121-126, 2019.

Zakariah M, Khan S, Chaudhary A., Rolfo C., Mohamed Maher Ben Ismail and Alotaibi Y, “To Decipher the Mycoplasma hominis Proteins Targeting into the Endoplasmic Reticulum and Their Implications in Prostate Cancer Etiology Using Next-Generation Sequencing Data”, Molecules. Vol 23, No. 5, 2018.

Ouiem Bchir, Mohamed Maher Ben Ismail and Nourah AL_Aseem. "EMPIRICAL COMPARISON OF VISUAL DESCRIPTORS FOR ULCER RECOGNITION IN WIRELESS CAPSULE ENDOSCOPY VIDEO". The 4th International Conference on Image Processing and Pattern Recognition (IPPR 2018), Copenhagen, Danemark, April 2018.

Mohamed Maher Ben Ismail and Ouiem Bchir, “Empirical Investigation of Multiple Query Content Based Image Retrieval”. International Journal of Applied Pattern Recognition, Vol. 5, No. 3, pp.  229, 2018.

Ouiem Bchir, Mohamed Maher Ben Ismail, “Region-Based Image Retrieval Using Relevance Feature Weights”. Int. J. Fuzzy Logic and Intelligent Systems, Vol. 18, No. 1, pp.  65, 2018.

Mohamed Maher Ben Ismail, "A Survey on Content-based Image Retrieval", International Journal of Advanced Computer Science and Applications, Vol. 8, No. 5, pp. 159-170, 2017. 

Mohamed Maher Ben Ismail and Ouiem Bchir, "Automatic Fall Detection using Membership based Histogram Descriptors". Journal of Computer Science and Technology, Vol. 32, No. 2, pp. 356-367, 2017.

Mohamed Maher Ben Ismail and Ouiem Bchir, "Endoscopy Video Summarization using Novel Relational Motion Histogram Descriptor and Semi-supervised Clustering". Journal of Experimental & Theoretical Artificial Intelligence, Vol. 28, No. 4, pp. 629-653, 2016.

Mohamed Maher Ben Ismail and Ouiem Bchir, " Content based Video Categorization using
Relational Clustering with Local Scale Parameter", International Journal of Computer Science and Information Technology, Vol. 8, No. 1, pp. 27-46, 2016.

Ouiem Bchir, Hichem Frigui and Mohamed Maher Ben Ismail, "Fuzzy clustering with learnable cluster dependent kernels", Pattern Application and Analysis Journal: Vol. 19, No. 4, pp. 919-937, 2016.

Ouiem Bchir and Mohamed Maher Ben Ismail, "Generic Evaluation Metrics for Hyperspectral Data Unmixing", The Soft Computing and Automation Journal, Vol. 22, No. 1, pp. 1-16, 2016.

Mohamed Maher Ben Ismail, Ouiem Bchir and Abdelmonim Artoli, “Optical Flow based Analysis of Leukocyte Dynamics in Microcirculation", International Journal of Artificial Intelligence & Applications (IJAIA) Vol. 6, No. 3, pp. 25-34, 2015.

Mohamed Maher Ben Ismail and Ouiem Bchir, “Semi-supervised Local Fusion Approach for Mine Detection in Sonar Data", International Journal OF Intelligent Systems, Vol. 30, No. 11, pp. 1161–1183 (DOI 10.1002/int.21739), 2015.

Mohamed Maher Ben Ismail and Ouiem Bchir, “CE Video Summarization using Relational Motion Histogram Descriptor", International Conference on Optoelectronics and Image Processing (ICOIP 2015), July 2015, Chicago.

Ahmed Z. Emam, Yasser Ali and Mohamed Maher Ben Ismail, "Adaptive Features Extraction for Capsule Endoscopy (CE) Video Summarization”, International Conference on Computer Vision and Image Analysis applications (ICCVIA’15), January 2015, Sousse, Tunisia.

Ouiem Bchir and Mohamed Maher Ben Ismail, "Verbal Offense Detection in Social Network Comments using Novel Fusion Approach", AI Communications, Vol. 28, No. 4, pp. 765-780, 2015.

Ouiem Bchir and Mohamed Maher Ben Ismail, "Generalized Relative Spectral Unmixing Evaluation Measure", IEEE-International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, July 2014.

Mohamed Maher Ben Ismail and Ouiem Bchir, "Survey on number of endmembers estimation approaches for unmixing hyperspectral data", IEEE-International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, July 2014.

Mohamed Alkaoud, Ibrahim AshShohail, and Mohamed Maher Ben Ismail, "Automatic Image Annotation Using Fuzzy Cross-Media Relevance Models," Journal of Image and Graphics, Vol. 2, No. 1, pp. 59-63,. doi: 10.12720/joig.2.1.59-63, June 2014.

Mohamed Maher Ben Ismail and Ouiem Bchir, "Insult Detection in Social
Network Comments Using Possibilistic Based Fusion Approach", Computer
and Information Science, Springer Studies in Computational Intelligence, Vol.
566, pp 15-25, DOI: 10.1007/978-3-319-10509-3_2, , 2014.

Heelah Alraqibah, Mohamed Maher Ben Ismail and Ouiem Bchir，"Empirical Comparison of Visual Descriptors for Content based X-ray Image Retrieval", International Conference on Image and Signal Processing (ICISP'14), Cherbourg, June 2014.

Heelah Alraqibah, Ouiem Bchir and Mohamed Maher Ben Ismail，"X-Ray Image Retrieval System Based on Visual Feature Discrimination", Proceeding SPIE, vol. 9159, International Conference on Digital Image Processing (ICDIP), Athens, April 2014.

Mohamed M. Ben Ismail, Ouiem Bchir, and Ahmed Z. Emam, “Endoscopy Video Summarization based on Multi-modal Descriptors and Possibilistic Unsupervised Learning and Feature Subset Weighting”. The Soft Computing and Automation Journal, vol. 20, no. 3, pp. 381-402, 2014. (DOI:10.1080/10798587.2014.890320).

M. Maher Ben Ismail and Hichem Frigui, “Unsupervised Clustering and Feature Weighting based on Generalized Dirichlet Mixture Modeling". Information Sciences. vol. 274, pp. 35-54, DOI: 10.1016/j.ins.2014.02.146, 2014.

Mohamed M. Ben Ismail, Ouiem Bchir, and Ahmed Z. Emam, “Endoscopy Video Summarization based on Unsupervised Learning and Feature Discrimination”, IEEE Visual Communications and Image Processing. VCIP 2013. Malaysia 2013.

Ouiem Bchir, Hichem Frigui, and Mohamed Maher Ben Ismail. “Semi-supervised fuzzy clustering with learnable cluster dependent kernels". International Journal on Artificial Intelligence. Vol. 22, No. 3, pp. 13500. 2013.

Sarah Alotaibi, Sahar Kasim, Ouiem Bchir and Mohamed Ben Ismail. “Empirical comparison of visual descriptors for multiple bleeding spots recognition in wireless capsule endoscopy video”. 15^th International Conference on Computer Analysis of Images and Patterns. CAIP 2013, pp. 402-407 UK. 2013.

Ouiem Bchir, Mohamed Maher Ben Ismail and Hichem Frigui. “Mixture Analysis based on Spectral Summarization”, 5^th IEEE workshop on Hyperspectral Image and Signal Processing: Evolution in remote Sensing. WHISPERS 2013. Florida, USA. 2013.

Ouiem Bchir, Hichem Frigui and Mohamed Maher Ben Ismail. “Semi-Supervised clustering and Local Scale Learning algorithm”. International Conference on Artificial Intelligence. ICAI 2013. Tunisia. 2013.

Ouiem Bchir, Hichem Frigui and Mohamed Maher Ben Ismail. “Semi-Supervised Relational Fuzzy clustering with Local Distance Measure Learning”. International Conference on Artificial Intelligence. ICAI 2013. Tunisia. 2013.

Mohamed Maher Ben Ismail and Ouiem Bchir, “Automatic Image Annotation based on Semi-supervised Clustering and Membership based Cross Media Relevance Model”. International Journal of Pattern Recognition and Artificial Intelligence Vol. 26, No. 6, Dec 2012.

Ben Ismail, M. Maher; Frigui, H. “Image Database Categorization using Robust Modeling of Finite Generalized Dirichlet Mixture”. International Journal of Signal and Imaging Systems Engineering, Vol. 5, No. 2, pp. 143-153, July 2012.

Mohamed Maher Ben Ismail, “Image Database Categorization based on a Novel Possibilistic Clustering and Feature Weighting Algorithm”.  International Proceedings of Computer Science & Information Technology, vol. 46, pp. 122-127, Singapore, 2012.

Mohamed Maher Ben Ismail, “Possibilistic Clustering and Feature Weighting based on Robust Modeling of Finite Generalized Dirichlet Mixture”. 8^th International Conference on Machine Learning and Data Mining (MLDM). Germany, 2012

Mohamed Maher Ben Ismail, “Image Annotation and Retrieval Based on Multi-Modal Feature Clustering and Similarity Propagation”. PhD thesis packaged, produced and published by BiblioLabs under license by ProQuest UMI (available online for sale). 2011.

Mohamed Maher Ben Ismail and Hichem Frigui, “Image Database Categorization using Robust Unsupervised Learning Of Finite Generalized Dirichlet Mixture Models”. International Conference on Image Processing (ICIP), pp. 2457 - 2460, 2011.   

Mohamed Maher Ben Ismail, Hichem Frigui: “Possibilistic Clustering based on Robust Modeling of Finite Generalized Dirichlet Mixture”. Twentieth conference of the International Association for Pattern Recognition (IAPR). pp. 573 - 576, ICPR 2010.

M. Maher Ben Ismail, Hichem Frigui: “Image Database Categorization using Robust Modeling of Finite Generalized Dirichlet Mixture” International Workshop on Image Processing Theory, Tools and Application (IPTA). pp. 334-339, 2010

M. Maher Ben Ismail, Hichem Frigui: “Image Annotation based on Constrained Clustering and Semi-naive Bayesian Model”. IEEE symposium on Computers and Communications (ISCC). pp. 431-436, 2009.

M. Maher Ben Ismail, Hichem Frigui, Caudill Joshua: “Empirical Comparison of automatic Image Annotation Systems”. International Workshop on Image Processing Theory, Tools and Application (IPTA), pp. 1-8, 2008.

• Fall 2019: Algorithm Design and Anlysis (CSC 311), Theory of Computation (COS 205), Machine Learning (CSC 563), Independent Study I (CSC 696), Independent Study II (CSC 697), Msc. Graduation project 1 (CSC 597), Bsc. Graduation project II (CSC 497).
• Spring 2020: Algorithm Design and Anlysis (CSC 311), Data Warehouse and Data Mining (CSC 588), Independent Study II (CSC 697), Msc. Graduation project 1 (CSC 597), Bsc. Graduation project II (CSC 497), Msc. Project I (CSC 597), Msc. Project II (CSC 598).
• Fall 2020: Algorithm Design and Anlysis (CSC 311), Data Warehouse and Data Mining (CSC 588), Independent Study II (CSC 697), Thesis Preparation (CSC 699), Msc. Graduation project 1 (CSC 597), Bsc. Graduation project II (CSC 497), Msc. Project I (CSC 597), Msc. Project II (CSC 598).
• Spring 2021: Algorithm Design and Anlysis (CSC 311), Data Warehouse and Data Mining (CSC 588), Independent Study II (CSC 697), Thesis Preparation (CSC 699), Thesis (CSC 700), Msc. Graduation project 1 (CSC 597), Bsc. Graduation project II (CSC 497), Msc. Project I (CSC 597), Msc. Project II (CSC 598).
• Fall 2021: Algorithm Design and Anlysis (CSC 311), Data Warehouse and Data Mining (CSC 588), Thesis Preparation (CSC 699), Thesis (CSC 700), Msc. Graduation project 1 (CSC 597), Bsc. Graduation project II (CSC 497), Msc. Project I (CSC 597), Msc. Project II (CSC 598).
• Spring 2022: Algorithm Design and Anlysis (CSC 311), Data Warehouse and Data Mining (CSC 588), Thesis Preparation (CSC 699), Thesis Preparation (CSC 593), Thesis (CSC 700), Msc. Graduation project 1 (CSC 597), Bsc. Graduation project II (CSC 497), Msc. Project I (CSC 597).

University of Louisville, Speed School of Engineering, CECS Department:

• Fall 2005 to Fall 2007: Lab and class instructor of C/C++ and Fundamentals of Engineering.

University of Louisville, Speed School of Engineering, Multimedia Research Lab:  

• Fall 2006: Content Based Image Retrieval: lecturing weekly on a technical paper.
• Spring 2008: Multimedia Research Lab Seminar: lecturing on constrained semi-supervised clustering.
• Fall 2009: Multimedia Research Lab Seminar: lecturing on Automatic Image Annotation.

• Fall 2011 - Spring 2012: “Image Database Categorization based on Low-level Features Clustering”.
• Spring 2013 – Fall 2013: “Automatic Image Annotation Using Fuzzy Learning Approach”.
• Fall 2013 – Spring 2014: “Automatic Insult Detection in Social Networks Comments”
• Fall 2014 – Spring 2015: “Verbal Offense Detection in Social Networks Comments using Global Fusion Approach”.
• Spring 2015 - Fall 2015: “Video Database Categorization based on Low-level Feature Clustering”.
• Spring 2019-Fall 2019: "Face Detection, Blurring and Tracking using Machine Learning Techniques".

 Co-Supervisor of the following sample Msc. Graduation projects (sample):

• Spring 2013 – Fall 2013: Msc: “X-Ray Image Retrieval System Based on Visual Feature Discrimination and Multiple Instance Learning”.
• Fall 2013 – Spring 2014: “Hyperspetral mixture analysis with self-Estimation of the Number of Endmembers”.
• Spring 2015 – Fall 2015: “Multiple Bleeding Detection in Wireless Capsule Endoscopy”.
• Spring 2015 – Fall 2015: “Empirical comparison of visual descriptors for ulcer recognition in wireless capsule endoscopy video”.
• Spring 2016 - Fall 2016: “Region based Image Retrieval using Relevance Feature Weights”.
• Spring 2018-Fall 2018: "ALZHEIMER’S DISEASE DETECTION USING NEIGHBORHOOD COMPONENTS ANALYSIS AND FEATURE SELECTION"
• Fall 2018-Spring 2019: "Automatic Detection of the Meningioma Tumor Firmness in MRI Images".

1. Combinatorial Optimization
2. Image Processing and Pattern Recognition
3. Content Based Image Retrieval
4. Pattern Recognition and Machine Intelligence
5. Data Mining
6. Artificial Intelligence
7. Multimedia and Hypertext
8. Content Based Video Retrieval
9. Computer Algorithms
10. Fuzzy theory