SMAIL TIGANI
TIGANI Smail
Ecole d’Ingénierie Digitale et d’Intelligence Artificielle (EIDIA)
s.tigani@ueuromed.org
(+212) 661.97.29.00
COMPUTER ENGINEERING Ph.D.
Thesis Short Title: Statistical Learning Algorithms
ENSEM, UH2C University - Casablanca, Morocco
September’2012 - November’2016
NETWORK and TELECOMS ENGINEER
Topic: Java EE based Network Monitoring Platform
ENSA, UH1 University - Settat, Morocco
September’2009 - Juillet’2012
COMPUTER ENGINEERING UNDER DEGREE
Topic: PHP based Platform Tasks Management
EST, UH2C University - Casablanca, Morocco
September’2005 - Juillet’2009
CERTIFICATIONS and AWARDS
Cloud Application Developer 2018 Mastery Award
IBM Skill Academy, Score: 90%, ID: 3219-1525-4437-5879
Artificial Intelligence Analyst 2019 Mastery Award
IBM Skill Academy, Score: 72%, ID: 4298-1575-2926-8487
Machine Learning Researcher with Applications on Artificial Intelligence and Data Science
From 7/2019 up to now
DIRECTOR & AI RESEARCHER
EIDIA: Digital Engineering and Artificial Intelligence School at the Euro-Med University - Fes, Morocco.
Teaching Activities:
C Programming (1st Year, 48 Hours x 3 Groups)
Static Web (1st Year, 20 Hours x 4 Groups)
Java Programming (CGI Group, 60 Hours)
Research Activities (See Research Statement):
Publication on MedPRAI’18, SCA’19 and Data’19
Project Proposals ALKHAWARIZMI, Siemens, UEMF
Management Activities:
EIDIA Design and Building Architecture.
Preparatory Cycle Coordination (130 Students)
Labs Materiel Ordering, Receiving and Installing
Pedagogical Programs Design and Writing
Educational Direction
From 9/2017 to 8/2019
STATISTICS PROFESSOR RESEARCHER
Euro-Med Faculty of Engineering at the Euro-Med University - Fes, Morocco.
Teaching Activities:
Machine Learning 1(1st Big Data MSc, 56 Hours)
Statistics with R (1st Big Data MSc, 56 Hours)
Machine Learning 2(2st Big Data MSc, 56 Hours)
Management Activities:
Big Data Master Coordination
Big Data Master Pedagogical Program Writing
From 10/2013 to 7/2017
COMPUTER SCIENCE PROFESSOR
EMSI - Rabat, Morocco.
Teaching C, SQL, PL/SQL, Algorithms Design
Information System Manager (2014)
Document Sharing App. Developer with Java
From 7/2012 to 1/2013
INFORMATION TECHNOLOGIES CONSULTANT
NEOXIA - Casablanca, Morocco.
Java EE Developer (Spring, Struts/JSP, Hibernate)
Data Stream Management (ESB, Web Services)
SUBMITTED JOURNAL PAPERS
Meryem AKOULIH, Smail TIGANI and al. (2020). “Electrocoagulation based Chromium Removal Efficiency Classification using Logistic Regression”. Applied Science
Smail TIGANI (2020). “Deep Learning based Bitcoin Volatility Classifier for Best Trading Time Recommendation”, Journal of Intelligent Systems
PUBLUCATION IN JOURNALS
Smail TIGANI, “Deep Learning based Bitcoin Volatility Classifier for Trading Time Recommendation, Toward Artificial Intelligence Driven Trading Robots” (In Progress).
Smail TIGANI and al, “Gaussian Mixture and Kernel Density-Based Hybrid Model for Volatility Behavior Extraction From Public Financial Data”. Data, Vol. 4, No. 19, 2019.
Smail TIGANI and al, "Markov chains and linear model-based hybrid prediction algorithm for cognitive agents”, International Journal of Intelligent Systems Design and Computing Vol. 1, No. 2, pp. 28-42, 2017.
Smail TIGANI and al, "Statistical Learning Theoretical Foundations Overview for Big Data Predictive Analytic", International Journal of Computer Science: Theory and Application, Vol. 4, No. 3, pp. 54-62, 2015.
Smail TIGANI and al, "Low Complexity Auto-adaptive Algorithm for Finite State Prediction Given Historical Observations", Communications on Applied Electronics, Vol. 1, No. 5, pp. 1-5, 2015.
Smail TIGANI and al, "Low Complexity Algorithm for Probability Density Estimation Applied in Big Data Analysis", International Journal of Computer Applications, Vol. 107, No. 7, pp. 1-5, 2014.
Smail TIGANI and al, "Intelligent Linear Data Structure with Self Performance Optimization Capacity: Application on Big Data", International Journal of Computer Applications, Vol. 101, No. 6, pp. 1-6, 2014.
Smail TIGANI and al, “Multi-agent system design for synchronizing software components communication: application on orchestration in complex SOA architecture”, International Journal of Computer Applications, Vol. 78, No. 4, 2013.
SUBMITTED PROCEEDING PAPERS
Morad JBENE, Smail TIGANI. (2021). “Deep Learning based Sentiment Aware Ranking Method for e-Commerce Product Search”. 3rd Edition of The International Conference on Advanced Intelligent Systems for Sustainable Development, December 21-26, 2020. Tanger, Morocco.
INTERNATIONAL CONFERENCES
Meryem AKOULIH, Smail TIGANI and al. 2019. “Principal Component Analysis based Approach for Understanding Electrocoagulation Setting Impact on Chromium Elimination: A Step Toward Smart Eco-Friendly City”. In The Fourth International Conference on Smart City Applications (SCA2019), October 2–4, 2019, CASABLANCA, Morocco. DOI: https://doi.org/10.1145/3368756.3369010
Soumaya LAMRHARI, Smail TIGANI and al (2018). Enhancing Social Network Communication through Dynamic Clustering Balance”. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence, March 27–28, 2018, Rabat, Morocco. ACM Publisher, New York, NY, USA.
Smail TIGANI and al. “Multivariate Statistical Model based Currency Market Profitability Binary Classifier”. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence, March 27–28, 2018, Rabat, Morocco. ACM Publisher, New York, NY, USA, 5 pages. DOI: https://doi.org/10.1145/3177148.3180093
Smail TIGANI and al, "Monte Carlo simulation based algorithm design for automatic learning machine performance analysis", 5th International Conference on Next Generation Networks and Services, Casablanca, Morocco, 2014. IEEE Publisher.
Smail TIGANI and al, "Statistical Learning Based Framework for Random Networks Knowledge Extraction Applied in Smart Cities", 1st International Symposium on Ubiquitous Networking, Casablanca, Morocco, 2016. Book Chapter, Springer Publisher.
- Machine / Deep Learning: Theory and Applications in Artificial Intelligence
- Convergence Data Analytics and Engineering of Mobile Applications & Cloud
- Machine Learning "Machine Learning"
- C, Python, Java and R programming
- Database Engineering