Serge Sonfack Sounchio

Ph.D in Industrial Engineering & Computer Science

• Email: sss.sounchio@gmail.com
• GitHub: https://github.com/sonfack
• Google Scholar: https://scholar.google.com/citations?user=dObAh0sAAAAJ&hl
• ResearchGate: https://www.researchgate.net/profile/Sonfack-Serge/research

Research Fields

Artificial Intelligence • Industrial Engineering
Focus: Knowledge representation • Collaborative intelligence • Uncertainty management • Hypothesis-driven AI —

Education & Professional Background

• Curriculum Development (MSc), BF Virtual University — 2022–2023
  Machine Learning & Natural Language Processing
• Assistant Lecturer, Burkina Faso Virtual University — 2021–2022
  Teaching: Natural Language Processing
• Assistant Lecturer, ENIT (Ecole Nationale d’Ingénieurs de Tarbes), LGP — 2019–2023
  Team: Knowledge & Experience Engineering for Process, System and Organization Improvement
• Ph.D, ENIT / LGP — 2019–2022
  Modelling and exploitation of knowledge for collaborative expertise processes
  Supervisors: Prof. Laurent Geneste, Prof. Bernard Kamsu Foguem
• MSc (Information Technology), Institut Francophone International – Vietnam National University — 2017–2019
• MSc (Computer Science, Data Focus), Université de La Rochelle — 2018–2019
• CTO & Co-founder, Bee (ckomsa.com marketplace) — 2014–2018
  Designer & developer of the e-commerce web app
• BSc (Programming & Analysis), Institut Africain d’Informatique — 2010–2013

Publications (Selected & Recent)

• Activity Knowledge Management. CIE52 (International Conference on Computers and Industrial Engineering), 2025.
• Détection de communautés dans les graphes de connaissance d’activités. APIA, 2025. (with M.D.O. Haback, O. Sonkeng Tsafack, H. Trawina, H.T. Vinh)
• A multilayered graph representation of expertise processes. AFIA, 2024. https://hal.science/hal-04639153 (with B.K. Foguem, L. Geneste)
• A hypotheses-driven framework for human–machine expertise process. Cognitive Systems Research, 87, 2024. https://doi.org/10.1016/j.cogsys.2024.101255 (with L. Geneste, B.K. Foguem)
• An Enterprise Architecture for Interpersonal Activity Knowledge Management. In Iberoamerican Knowledge Graphs and Semantic Web Conference, pp. 66–81, 2023. Springer. (with B.K. Foguem et al.)
• Organizations’ Interpersonal Activity Knowledge Representation. HHAI 2023: Augmenting Human Intellect, pp. 254–262, IOS Press. (with T. Coudert, B.K. Foguem, L. Geneste, C. Béler, S. Namakiaraghi)
• Construction of a base ontology to represent accident expertise knowledge. Cognition, Technology & Work, 25(2):183–201, 2023. Springer. (with B.K. Foguem, L. Geneste)
• Combining expert-based beliefs and answer sets. Applied Intelligence, Springer, 2022. https://doi.org/10.1007/s10489-022-03669-z (with L. Geneste, B.K. Foguem)
• Hybridation de l’Answer Set Programming et de la théorie de Dempster-Shafer. PFIA’21 – IC, pp. 98–104, 2021, Bordeaux, France. https://hal-emse.ccsd.cnrs.fr/emse-03260636 (with L. Geneste, B.K. Foguem)
• Modeling and sharing knowledge in expertise processes. I-ESA 2020, Tarbes, France.

Papers Submitted

• Organizations’ interpersonal activity knowledge (IAG). Cognitive Systems Research. (with H. Trawina, B.I. Tankeu Nguekeu, L. Geneste, B. Kamsu-Foguem)
• A Dynamic Knowledge Graph for Evolving Worlds. Progress in Artificial Intelligence. (with C. Djuikem, B. Kamsu-Foguem, L. Geneste, T. Coudert) ]{index=25}
• Activity Knowledge Graph (AKG). Cognition, Technology & Work. (with H. Trawina, B.I. Tankeu Nguekeu, L. Geneste, B. Kamsu-Foguem)

Program Committee

• LLM-TEXT2KG 2025 — Large Language Model: Text-to-Knowledge Graph
• TEXT2KG 2024 — International Workshop on Knowledge Graph Generation from Text
• AMLDA 2022–2023 — Applied Machine Learning and Data Analytics
• KGSWC 2022 — Knowledge Graph and Semantic Web Conference

Schools & Tutorials

• Winter School 2022: Knowledge Graphs — “Third Wave of AI”, Universidad Camilo José Cela
• IBM Neuro-Symbolic AI Summer School 2022
• Knowledge Graph / Semantic Web Winter School — Texas A&M University–Kingsville, 2021
• Reinforcement Learning Virtual School, IMT Toulouse / Univ. Toulouse III — Paul Sabatier, 2021
• Engineering Project (ENI-Tarbes, 2019–2020): Autonomous car with Arduino

Certifications

• Understanding Embeddings for Natural Language Processing — Hasso Plattner Institute
• Knowledge Graphs — Foundations and Applications — HPI
• Neuro-Symbolic AI Essentials — IBM
• Semantic Web Technologies — HPI
• Information Service Engineering — HPI
• Enterprise Machine Learning in a Nutshell — OpenSAP
• Linux Certification — Linux Professional Institute

Skills

Databases: Relational DB, NoSQL
Semantic Web / Ontologies: OWL, SPARQL, RDF, SHACL
Knowledge Graphs: Kypher, Cypher
AI/ML: Pattern Recognition, Content Indexing, Supervised & Unsupervised Learning

Programming

• Object-oriented: Python, Java, C/C++
• Logic: Answer Set Programming, Prolog
• Functional: Lisp

Languages

French and English — Read, write, and speak.

References

• Prof. Laurent Geneste — laurent.geneste@enit.fr
• Prof. Bernard Kamsu Foguem — bernard.kamsu-foguem@enit.fr
• Prof. Victor van Reijswoud — victor.vanreijswoud@gmail.com