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Tran Duc Minh, Ph.D.

Tran Duc Minh, Ph.D.

Information Technology Program Chair
  • Post-Doc (Data Mining, the National Institute for Research in Digital Science and Technology, 2020)
  • Ph.D. (Computer Science, University of Côte D’Azur, 2018)
  • M.Sc. (Computer Science, Military Technology Academy, 2005)
  • B.Sc. (Applied Mathematics and Informatics, Thang Long University, 2000)

Tran Duc Minh


RESEARCH INTERESTS

  • Machine learning
  • Semantic Web

SELECTED PUBLICATIONS

  • Radia Zeghari, Rachid Guerchouche, Minh Tran-Duc, François Bremond, Kai Langel, Inez Ramakers, Nathalie Amiel, Maria Pascale Lemoine, Vincent Bultingaire, Valeria Manera, Philippe Robert and Alexandra König, Feasibility Study of an Internet-Based Platform for Tele-Neuropsychological Assessment of Elderly in Remote Areas, MDPI, April 7, 2022.

  • Alexandra König, Radia Zeghari, Rachid Guerchouche, Minh Duc Tran, François Bremond, Nicklas Linz, Hali Lindsay, Kai Langel, Inez Ramakers, Pascale Lemoine, Vincent Bultingaire, Philippe Robert, Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis: protocol for a cross-over feasibility study, BMJ Open, September 3, 2021.

  • Radia Zeghari, Rachid Guerchouche, Minh Tran Duc, François Bremond, Maria Pascale Lemoine, Vincent Bultingaire, Kai Langel, Zeger De Groote, Francis Kuhn, Emmanuelle Martin, Philippe Robert and Alexandra König, Pilot Study to Assess the Feasibility of a Mobile Unit for Remote Cognitive Screening of Isolated Elderly in Rural Areas, MDPI, 2021.

  • Tran Duc Minh, Claudia d’Amato, Nguyen Thanh Binh, Andrea G.B. Tettamanzi, Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules, RIVF, IEEE, 2019.

  • Tran Duc Minh, Claudia d’Amato, Nguyen Thanh Binh, Andrea G.B. Tettamanzi, Comparing rule evaluation metrics for the evolutionarydiscovery of multi-relational association rules in the semantic web. in Genetic Programming, EuroGP 2018, Parma, Italy, April 4-6, 2018, (Cham), pp.289-305, Springer International Publishing, 2018. 2)

  • Tran Duc Minh, Claudia d’Amato, Nguyen Thanh Binh, Andrea G.B. Tettamanzi, An evolutionary algorithm for discovering multi-relationalassociation rules in the semantic web. in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO2017, Berlin, Germany, July 15-19, 2017, pp. 513–520, 2017.3)

  • Claudia d’Amato, Andrea G.B. Tettamanzi, Tran Duc Minh, Evolutionary discovery of multi-relational association rules fromontological knowledge bases, in Knowledge Engineering and Knowledge Management, EKAW 2016, Bologna, Italy, November19-23, 2016, (Cham), pp.113–128, Springer International Publishing, 2016.4)

  • Claudia d’Amato, Steffen Staab, Andrea G.B. Tettamanzi, Tran Duc Minh, Fabien Gandon, Ontology enrichment by discovering multi-relational associationrules from ontological knowledge bases, in Proceedings of SAC2016, Pisa, Italy, April 4-8, 2016, ACM, pp. 333- 338, 2016.


AWARDS & HONOURS


TEACHING COURSES

  • OOP
  • Data Structures and Algorithms
  • Programming Techniques
  • Artificial Intelligence
  • C/C++
  • Java
  • Python
  • JavaScript
  • Operating System Principles
  • Database
  • Software Engineering
  • Mobile Programming
  • Machine Learning
  • Deep Learning