Mohamed Kissi

Pr. Mohamed KISSI

Full Professor in the Computer Science Department
Faculty of Science and Techniques of Mohammedia
University Hassan II, Casablanca, Morocco

Short biography

received his PhD degree from the UPMC, France in 2004 in Computer Science. He is currently a full Professor in Department of Computer Science, University Hassan II Casablanca, Faculty of Sciences and Technologies, Mohammedia, Morocco. His current research interests include machine learning, data and text mining (Arabic) and Big Data. He is the author of many research papers published at conference proceedings and international journals in Arabic text mining, bioinformatics, genetic algorithms and fuzzy sets and systems.

Education

  • Full Professor in Computer Science, in 2016

    FSTM, UH2C

  • HDR in Computer Science, in 2010

    Faculty of Science , University Chouaib Doukkali EL Jadida

  • PhD in Computer Science, in 2004 (Thèse en Co-Tutelle)

    FSTM, UH2C and UPMC, France

    My thesis link

  • DESA in Mathematics and informatics, in 2000

    FSTT, UAE

Profile in indexing databases

ORCID Google Scholar Scopus Publons


Scientific responsibilities

Funded research projects

  • Project 1: E-Orientation

    Thematic Center: SISA3

  • Project 2: Big Data and connected objects serving the Casablanca citizens(BDOC)

    Thematic center: 8

Scientific Participation

  • General Chair for: Journée d'Informatique Décisionelle (JID 2010) in 2010, Faculty of Science El Jadida.

  • Member of scientific committees and sessions president in many international conferences:

    SADASC'22, ICDS2021, ADACI-IJASCA 2020, SITA'20, SADASC'20 ICACIN 2020, ICCSRE2019, JDSIRT'18, ICDS2018, SITA’18, ICDS2017, SADASC'18, AWICT 2017, JDSIRT17, NGNS16, sadasc2016, SITA'16, AICCSA 2016, TIM'16, ICALP'17, CICLing 2016, JDILA 2015, SITA'15, CLOUDTECH 2015, AWICT 2015, ISCV 2015, CITALA14, SITA'14, ICMCS'14, SITA'13, SITA'12,

Teaching & Outreach

• Big Data (Big Data Specialist with IBM BigInsights V2.1 certificate): origin of Big Data, Big Data in organizations (3V), NoSQL, MapReduce algorithm and the Hadoop framework….

• Decisional computing (business intelligence): Datawerhouse, OLAP…..

• Data mining: Data pre-processing (KDD), Supervised classification methods,

• Unsupervised classification methods, data mining software (Weka, Businessobject)

• Artificial Intelligence (AI): Search algorithms (A*, min-max, alpha-beta, etc….), logic of predicates, logic of propositions, inference, expert systems, learning, fuzzy logic….

• Logic programming: PROLOG, LISP

• Programming language for real time: ADA

• Object-oriented design and programming (COO and POO): C++, Visual C++ 6.0 and JAVA.

• Unix operating systems: Use and Administration.

• Language theory and compilation: regular expressions, automata, lexical analysis, syntactic analysis, semantic analysis, code generation.

• Procedural languages: Pascal, C.

• Advanced data structures: Lists, stacks, queues, trees and graphs.

• Modelling language and method: Merise and UML.

• DBMS: Microsoft SQL Server 2012 (Microsoft Certified Professional MCP and Microsoft Certified Solutions Associate: SQL Server 2012).

• Web technologies: HTML, DHTML, XML, ASP, PHP and JSP.

Research Interests

• Approximate reasoning based on similarity measures,

• Fuzzy logic, genetic algorithms and machine learning techniques for decision support.

• Data mining for risk forecasting, information retrieval and user modeling.

• Text mining applied to the Arabic language.

• Design and development of machine learning approaches in a Big Data context.

• Recognition of emotions from images

Supervised theses

• Thesis supervised and defended in 07 January 2017: Dr. Walid Cherif (Currently Assistant professor in ESI-Rabat, Morocco). Title of thesis: Nouvelles techniques de Data mining appliquées à l'analyse d'opinions du texte arabe.

• Thesis supervised and defended in 19 Octobre October 2019: Dr. Bahassine Said (Currently Assistant professor in ENSAM-Casablanca, Morocco). Title of thesis: Nouvelles techniques de Text mining appliquées à la catégorisation du texte arabe.

• Thesis co-supervised and defended in 18 December 2019: Dr. Salmam Fatima Zahra(Currently Assistant professor in ENS-Rabat, Morocco). Title of thesis: Nouvelles approches de reconnaissance des émotions à partir des expressions faciale basée sur l'apprentissage profond.

• Thesis supervised and defended in 16 October 2021: Dr. AMAZAL Houda(Currently Teacher in OFPPT-Mohammedia, Morocco). Title of thesis: Approches Big Data pour la sélection des caractéristiques et la classification des données textuelles.

Publications After 2018

Articles
  1. Cherif, W.,Madani, A., Kissi, M. Supervised classification by thresholds: Application to automated text categorization and opinion mining
    Concurrency and Computation: Practice and Experiencethis link is disabled, 2022, 34(4), e6613.
    DOI 10.1002/cpe.6613
  2. Labjar, H., Al-Sarem, M., Kissi, M.
    Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery.
    Journal of Information Technology Managementthis link is disabled, 2022, 14, pp. 23–36.
    DOI 10.22059/JITM.2022.84883
  3. Cherif, W.,Madani, A., Kissi, M.
    Text categorization based on a new classification by thresholds.
    Progress in Artificial Intelligencethis link is disabled, 2021, 10(4), pp. 433–447.
    DOI 10.1007/s13748-021-00247-1
  4. Hakem, M.,Boulouard, Z., Kissi, M.
    Classification of Body Weight in Beef Cattle via Machine Learning Methods: A Review.
    Procedia Computer Science, 2021, 198, pp. 263–268.
    doi.org/10.1016/j.procs.2021.12.238
  5. Sabri, T.,Beggar, O.E., Kissi, M.
    Comparative study of Arabic text classification using feature vectorization methods.
    Procedia Computer Science, 2021, 198, pp. 269–275.
    doi.org/10.1016/j.procs.2021.12.239
  6. Amazal, H.,Ramdani, M., Kissi, M.
    Ensemble feature selection approach for imbalanced textual data using MapReduce.
    International Journal of Business Intelligence and Data Miningthis link is disabled, 2021, 19(4), pp. 395–417.
    doi.org/10.1504/IJBIDM.2021.118925
  7. Amazal, H., Kissi, M.
    A New Big Data Feature Selection Approach for Text Classification.
    Scientific Programming, 2021, 2021, 6645345.
    doi.org/10.1155/2021/6645345
  8. Bahassine, S., Madani, A.,Al-Sarem, M., Kissi, M.
    Feature selection using an improved Chi-square for Arabic text classification.
    Journal of King Saud University - Computer and Information Sciences, 2020, 32(2), pp. 225–231.
    doi.org/10.1016/j.jksuci.2018.05.010
  9. Salmam, F.Z.,Madani, A., Kissi, M.
    Fusing multi-stream deep neural networks for facial expression recognition.
    Signal, Image and Video Processing, 2019, 13(3), pp. 609–616.
    doi.org/10.1007/s11760-018-1388-4
  10. Salmam, F.Z.,Madani, A., Kissi, M.
    Emotion recognition from facial expression based on fiducial points detection and using neural network.
    International Journal of Electrical and Computer Engineering, 2018, 8(1), pp. 52–59.
    doi.org/10.11591/ijece.v8i1.pp52-59
Book chapters
  1. Chouikik, M.,Ouaissa, M.,Ouaissa, M., Boulouard, Z., Kissi, M.
    Software-Defined Networking Security: A Comprehensive Review
    Studies in Big Datathis link is disabled, 2022, 111, pp. 91–108
    DOI: 10.1007/978-3-031-05752-6_6
  2. Labjar, H., Labjar, N., Kissi, M.
    QSAR Anti-HIV Feature Selection and Prediction for Drug Discovery Using Genetic Algorithm and Machine Learning Algorithms.
    EAI/Springer Innovations in Communication and Computingthis link is disabled, 2022, pp. 191–204.
    DOI 10.1007/978-3-030-77185-0_12
  3. Amazal, H.,Ramdani, M., Kissi, M.
    A Parallel Global TFIDF Feature Selection Using Hadoop for Big Data Text Classification.
    Advances in Intelligent Systems and Computing, 2021, 1188, pp. 107–117.
    DOI 10.1007/978-981-15-6048-4_10
  4. Amazal, H.,Ramdani, M., Kissi, M.
    Towards a Feature Selection for Multi-label Text Classification in Big Data.
    Communications in Computer and Information Science, 2020, 1207 CCIS, pp. 187–199.
    DOI 10.1007/978-3-030-45183-7_14
  5. Benkerroum, H.,Cherif, W., Kissi, M.
    Optimization of LSTM Algorithm Through Outliers – Application to Financial Time Series Forecasting.
    Communications in Computer and Information Science, 2020, 1207 CCIS, pp. 209–220.
    DOI 10.1007/978-3-030-45183-7_16
Conference papers
  1. Bahassine, S.,Madani, A., Kissi, M.
    Comparative study of arabic text categorization using feature selection techniques and four classifier models.
    ACM International Conference Proceeding Series, 2020, pp. 157–162
  2. Amazal, H.,Ramdani, M., Kissi, M.
    A Frequency-Category Based Feature Selection in Big Data for Text Classification.
    ACM International Conference Proceeding Series, 2020, pp. 79–84
  3. Al-Sarem, M.,Emara, A.-H.,Cherif, W., Kissi, M. ,Wahab, A.A.
    Combination of stylo-based features and frequency-based features for identifying the author of short Arabic text.
    ACM International Conference Proceeding Series, 2018, a1.
  4. Amazal, H.,Ramdani, M., Kissi, M.
    A text classification approach using parallel Naïve bayes in big data context.
    ACM International Conference Proceeding Series, 2018, a36

Contact

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Copyright 2023 Mohamed KISSI.