Prof. Dr. Souhir Ben Souissi

Profile

Prof. Dr. Souhir Ben Souissi Dozentin

Contact

Links

souhirbensouissi.net

Address Berner Fachhochschule
School of Engineering and Computer Science
Lehre
Höheweg 80
2501 Biel

Research

Specialisations

Deep Learning related applications
Semantic Web Technologies for Medical applications
Generative AI
NLP for Medical applications
Computer vision : Satellite images
Decision Support Systems

Projects

Projects at the BFH

Low-data & low-code geo-spatial Deep-Learning

Towards a Low-data, Low-code Geospatial Deep Learning Platform for Domain Experts: A first application to wildfire impact severity assessment.
Institute(s) Institute for Data Applications and Security (IDAS)

Research unit(s) IDAS / Applied Machine Intelligence

Head of project Souhir Ben Souissi
- See research project
Generative AI for the Sound Arts and Music Performance

Investigate the potential of Generative AI through an interdisciplinary project that explores the application of AI for Sound Art creation.
Institute(s) Institute Interpretation
Institute for Data Applications and Security (IDAS)

Research unit(s) Intersection of Contemporary Music
IDAS / Applied Machine Intelligence

Head of project Souhir Ben Souissi
- See research project
NLP Work related stress

Stress in the workplace should be automatically detected and described via routine data in the documentation system.
Institute(s) Nursing

Research unit(s) Innovation in the Field of Health Care and Human Resources Development

Head of project Christoph Golz
- See research project
Automatic work-related stress detection among nurses

Nearly half of the nurses leave their jobs due to work-related stress. Surveys are no longer effective in capturing the real-time stress levels. Our project aims to revolutionize stress measurement using...
Institute(s) Nursing

Research unit(s) Innovation in the Field of Health Care and Human Resources Development

Head of project Christoph Golz
Souhir Ben Souissi
- See research project

Publications

PARS, an approach combining semantic technologies with MCDA for antibiotic prescription decision support systems. Journal of Biomedical Informatics. 2019.

https://www.sciencedirect.com/science/article/pii/S1532046419302230

Reducing the toxicity risk in antibiotics prescription by combining Semantic Technologies with a Multiple Criteria Decision Model. American Medical Informatics Annual Fall Symposium (AMIA) 2017.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977731/

Vers une nouvelle génération d'outils d'aide à la décision s'appliquant à la prévention des risques lors de la prescription des antibiotiques.

Vers une nouvelle génération d'outils d'aide à la décision s'appliquant à la prévention des risques lors de la prescription des antibiotiques : combinaison des technologies Web sémantique et de l'aide multicritère à la décision. PhD Thesis. 2017. https://tel.archives-ouvertes.fr/tel-01684761

Categorizing the suitability of an alternative for a subject. An application to antibiotics prescription recommendation. IEEE Symposium Series on Computational Intelligence, Athens, Greece, 2016.

https://ieeexplore.ieee.org/document/7849894

Language skills and intercultural knowledge

Language skills

English - Full professional proficiency
French - Full professional proficiency
Arabic - Native or bilingual proficiency
German - Limited working proficiency