CV
Hamza Ouhaichi
Address: Jägersrovägen 8B, Malmö, Sweden
Phone: +46700831495
Email: hamza.ouhaichi@mau.se
LinkedIn: linkedin.com/in/hamza-ouhaichi
Work Experience
PhD Candidate (Defense: 24th Sep 2024)
Malmö University
Malmö, Sweden
2019 – Present
- Focus: Multimodal Learning Analytics (Data analytics in education and learning).
- Using Action Design Research methodology, prototyping and data-driven approaches to understand the process of education and learning.
- Teaching courses: Operating Systems, Databases, Object-Oriented Programming, Internet of Things, and UX.
Software Developer
Softlab
Rome, Italy
2018 – 2019
- Maintained web applications developed with Java and executed on WebSphere.
- Developed microservices applications with Spring Boot.
Research Assistant (Developer)
Institut de Recherche en Informatique de Toulouse
Toulouse, France
2017 (7 months)
- Focus: Detecting homonyms in author names.
- Worked on natural language processing, information retrieval, machine learning, and graph theory.
Web Developer
BuzzMyVideos
Cagliari, Italy
2016 – 2017
- Designed and developed a MEAN stack project (MongoDB, Express, AngularJS, and NodeJS).
- Integrated various social network APIs into the project.
Software Developer
Outline
Rabat, Morocco
2014 – 2015
- Web development using PHP, Symfony, and WordPress.
- Bachelor Thesis: Task Scheduling in the Cloud - Optimization by the Genetic Algorithm.
Inventory Management
DataTrend
Rabat, Morocco
2013 – 2014
- Digitalization of the inventory system for electronic equipment.
Education
Licentiate Degree in Computer Science
Malmö University
Malmö, Sweden
2019 – 2022
Master Degree in Computer Science
University of Cagliari
Cagliari, Italy
2015 – 2017
Bachelor Degree in Mathematics and Computer Science
Mohammed V University of Rabat
Rabat, Morocco
2011 – 2014
Personal Interests
Secretary
Marockanska Föreningen i Malmö
2022 - Present
Gym Instructor
Nordic Wellness
2022 - Present
Volunteer
Erasmus Student Network Cagliari
2016 - 2018
Volunteer
ENACTUS-FSR
2013 - 2015
Publications
- Ouhaichi H, Vogel B, Spikol D. “Exploring design considerations for multimodal learning analytics systems: an interview study.” In Frontiers in Education, 2024 Jul 12 (Vol. 9, p. 1356537). Frontiers Media SA. https://doi.org/10.3389/feduc.2024.1356537
- Ouhaichi H, Spikol D, Vogel B. “A Systematic Review Of Multimodal Learning Analytics Design Models And Frameworks.” In EDULEARN24 Proceedings, 2024:5304-14. https://doi.org/10.21125/edulearn.2024.1299
- Chow YB, Olsson D, Ouhaichi H. “Smart Assistants For Multimodal Learning Analytics Systems In Spoken Language Acquisition: A Systematic Review.” In EDULEARN24 Proceedings, 2024 (pp. 10700-10709). IATED. https://doi.org/10.21125/edulearn.2024.2672
- Ouhaichi H, Spikol D, Vogel B. (2024). “Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA.” In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026 SciTePress, pages 478-485. https://doi.org/10.5220/0012690900003693
- Ouhaichi H, Spikol D, Vogel B. (2023). “Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems.” In Proceedings of the Tenth ACM Conference on Learning @ Scale (L@S ‘23). Association for Computing Machinery, New York, NY, USA, 354–359. https://doi.org/10.1145/3573051.3596186
- Ouhaichi H, Spikol D, Vogel B. “Research trends in multimodal learning analytics: A systematic mapping study.” In Computers and Education: Artificial Intelligence, Volume 4, 2023, 100136. ISSN 2666-920X. https://doi.org/10.1016/j.caeai.2023.100136
- Serrano S, Spikol D, Lorenzo M, Ouhaichi H, Eduardo Gómez Sánchez, and Bahtijar Vogel. “Adaptable smart learning environments supported by multimodal learning analytics.” In EC-TEL 2021: Learning Analytics for Smart Learning Environments, September 21, 2021, Bolzano, Italy, pp. 24-30. ISBN: 978-3-030-86436-1.
- Ouhaichi H, Spikol D, Vogel B. “MBOX: Designing a Flexible IoT Multimodal Learning Analytics System.” In 2021 International Conference on Advanced Learning Technologies (ICALT), Tartu, Estonia, 2021, pp. 122-126. https://doi.org/10.1109/ICALT52272.2021.00044
- Ouhaichi H, Olsson H.H, Bosch J. (2019). “Dynamic Data Management for Machine Learning in Embedded Systems: A Case Study.” In: Hyrynsalmi S., Suoranta M., Nguyen-Duc A., Tyrväinen P., Abrahamsson P. (eds) Software Business. ICSOB 2019. Lecture Notes in Business Information Processing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-030-33742-1_12
Software Realisations
- Email Spam Classifier: GitHub Repo
Machine learning method for email spam classification using Spark and Java. The classification is based on Naive Bayes’ approach. - Author Names Disambiguation: GitHub Repo
The project aims to import DBLP dataset into Neo4j, processing the file to create a complete graph representing the dataset. - Delaunay Triangulation: GitHub Repo
Implementation of Delaunay triangulation using C++. - Task Management Platform: Designed to help teams track their work on a project (developed using Symfony framework).
Skills
- Data Analytics, Research, Teaching, Event Management.
- Programming Languages & Technologies: Java EE, C++, PHP, Symfony, NodeJS, WordPress, Android, SQL, Apache Spark, MongoDB.
- Problem Solving, Design Patterns.
Languages
- Arabic: Native
- English: Fluent
- French: Fluent
- Italian: Fluent
- Swedish: Limited
Erasmus+ Trainings
- 2021, Italy: Happiness in the rat race.
- 2021, Serbia: Entrepreneurship.
- 2020, Bulgaria: Sports for empowerment.
- 2020, Spain: Pandemic.
- 2019, Lithuania: Mindfulness.
- 2019, Cyprus: Migration and Equality.
- 2018, Greece: Mindfulness.
- 2018, Latvia: Wildlife and Hiking.
- 2017, Estonia: Sports and Social Inclusion.
- 2017, Slovakia: Critical thinking.
- 2016, Romania: Voting EU elections.
Professional References
Daniel Spikol
Copenhagen University
ds@di.ku.dkBahtijar Vogel
Malmö University
bahtijar.vogel@mau.seMichael Belfrage
Malmö University
michael.belfrage@mau.se ``