Moahamed Maher Ben Ismail_Curriculum Vitae
Mohamed Maher Ben Ismail, Ph.D
Assistant Professor
Assistant Professor
CS department, College of Computer and Information Sciences
King Saud University
Research Interest
Image Processing, Machine Learning, Pattern Recognition, Spatial/Temporal Data Mining, Information Fusion, Statistical modeling, Artificial Intelligence.
Teaching Interest
Programming Languages
Signal Processing
Image Processing and Pattern recognition
Applied machine learning
Data Mining
Artificial Intelligence
Fundamentals of Engineering
Programming languages
Honors and Awards
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.
Education
Doctor of Philosophy in Computer Engineering and Computer Science
University of Louisville, Ky, USA. May 2011.
Dissertation: “Image annotation and Retrieval based on Multi-modal Feature Clustering and Similarity Propagation”.
Advisor: Dr. Hichem Frigui
1 year of Master of Automatic and Signal Processing
National School of Engineering of Tunis, Tunisia, June 2005.
advised by: Dr. Safiya Belghith
Electrical Engineer Diploma
National School of Engineering of Tunis, Tunisia, June 2002. Graduation with honors.
Additional advanced math courses covering the areas of topology, measure theory, numerical analysis, convex optimization, theory of probability and operational research.
Additional courses in electronics, telecommunication, Artificial intelligence and game theory.
National Exam for admission to national engineering schools in Tunisia, ranked 250/3000, June 1999.
Associate degree in Mathematics and Physics
College of Fundamentals of Engineering, June 1999. Graduation with honors.
Professional appointments
Assistant Professor at King Saud University
College of Computer and Information Sciences. Computer Science department. From September 2011 – present.
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. Namely, I work 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 seek to develop machine learning algorithms that could be used to integrate visual features with textual keywords, summarize, and organize the 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 and development of a automatic validation environment for 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.
Teaching experience
University of Louisville, CECS Department: Fall 2005 to Fall 2007. C/C++ and Fundamentals of Engineering Lab and class instructor.
University of Louisville, 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.
Computer skills
Systems: Linux (Ubuntu), Windows (XP and Vista)
Programming paradigms: Procedural programming: extensive experience with Matlab scripting, C language, and shell scripting (sh, csh and tcsh). Object Oriented Programming: extensive experience with Java and C++, familiar with C#.
Modeling and prototyping: extensive experience with Matlab .
Programming environments: Visual Studio.
Machine learning and data mining skills
Machine learning paradigms: Supervised, unsupervised, semi-supervised, active and reinforcement learning
Methods: Bayesian models, Decision trees, K-NN, ANN, linear/non-linear regression, kernel-based methods (SVM), Graphical models, DTW, AM/ARMA/ARIMA, hierarchical clustering, k-means, FCM, SOM, EM, GK, etc.
Feature Selection: PCA, Wrappers, Filters etc.
Software tools: Extensive experience with Matlab, WEKA and LibSVM. Familiarity with R
Affiliations
Member of the “Engage 2010” organized by the Office of the Civic Engagement, Leadership and Service. University of Louisville, Spring 2010.
Member of the Institute of Electrical and Electronics Engineers (IEEE).
Member of the Society of Photographic Instrumentation Engineers (SPIE).
Personal Information
Languages:
Arabic: native
French: fluent in reading/writing/speaking
English: fluent in reading/writing/speaking
Italian: basic
Doctoral Coursework
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
References
Available upon request.