Vinasetan Ratheil HOUNDJI Vinasetan Ratheil HOUNDJI
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Vinasetan Ratheil HOUNDJI

Ing., MSc., PhD.


Research interests: Artificial Intelligence, Constraint Programming, Machine Learning, Combinatorial Optimization.

Applied Research: Artificial Intelligence for Agriculture, Health, and Education. Applied Augmented/Virtual Reality.

Advanced Algorithms for Optimisation and Machine Learning

• Time constrained DL8.5 using Limited Discrepancy Search , H. Kiossou, P. Schaus, S. Nijssen, V. R. Houndji. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (ECML PKDD) Grenoble, France, September 2022.
• The Item Dependent StockingCost Constraint, V.R. Houndji, P. Schaus, L. Wolsey. Constraints journal (2019) 24: 183-209.
• The Weighted Arborescence Constraint, V.R. Houndji, P. Schaus, M. N. Hounkonnou, L. Wolsey. Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming (CPAIOR’2017), Lecture Notes in Computer Science, Springer International Publishing, Volume 10335, pp. 185-201.
• The StockingCost Constraint, V.R. Houndji, P. Schaus, L. Wolsey, Y. Deville. Principles and Practice of Constraint Programming (CP’2014), Lecture Notes in Computer Science, Springer International Publishing, Volume 8656, pp. 382-397.



Applied Research

• UMLDesigner: An Automatic UML Diagram Design Tool , V. R. Houndji, G. Akotenou. In: Conte, D., Fred, A., Gusikhin, O., Sansone, C. (eds) Deep Learning Theory and Applications. DeLTA 2023. Communications in Computer and Information Science, vol 1875. Springer.
• GrailSolver, à la dernière itération de l'obtention du graal de la programmation , V. R. Houndji, G. Akotenou, A. M. Kousse, K. Bonou Selegbe. Accepted at Journées Francophones de Programmation par Contraintes (JFPC), 2023, Strasbourg, France.
• Performance profiles to refine analysis of machine learning models , V. R. Houndji, B. Zossou. IEEE conference. International Seminar on Machine Learning, Optimization, and Data Science (ISMODE), 2022, Indonesia.
• Features analysis of internet traffic classification using interpretable machine learning models , E. Adje, V. R. Houndji, M. Dossou. International Journal of Artificial Intelligence (IJ-AI). Vol. 11, No. 3, July 2022, pp. 1108~1116.
• Automatic UML Defects Detection Based on Image of Diagram , M. S. Lokonnon, V. R. Houndji. In Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA, ISBN 978-989-758-584-5, pages 193-198. Lisbon, Portugal, July 2022.
• Prediction of the Purchase Intention of users on e-commerce Platforms using Gradient Boosting , Y. Kiki, V. R. Houndji. International Journal of Engineering and Advanced Technology (IJEAT). 2020.
• Using an interpretable Machine Learning approach to study the drivers of International Migration , H. Kiossou, Y. Schenk, F. Docquier, V. R. Houndji, S. Nijssen, P. Schaus. Havard CRCS Workshop on Artificial Intelligence for Social Good. 2020.
• AmonAI : a students academic performances prediction system , I. Houndayi, V. R. Houndji, P-J Zohou, E. C. Ezin. (eds) e-Infrastructure and e-Services for Developing Countries. 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 311. Springer, Cham, pp 212-218. See a video.
• Sorghum Yield Prediction using Machine Learning, G. Zannou, V. R. Houndji. International Conference on Bio-engineering for Smart Technologies (BioSMART'2019), Paris, France. In proceedings, pp. 152-155. See a video.
• Awale Game : Application Programming Interface and Augmented Reality Interface , P. Houessou, V.R. Houndji, E.C. Ezin, P. Kiki, H. Kiossou, J-B. Sossou, F. Zoumarou Walis. Emerging Technologies for Developing Countries. 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 260, Springer, pp. 147-154.
• Generic heuristic for the mnk games, A-H. Abdoulaye, V.R. Houndji, E.C. Ezin, G. Aglin. African Conference on Research in Computer Science and Applied Mathematics (CARI 2018), Stellenbosh, South Africa. In proceedings, pp. 265-275.



Litterature Review

• Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives , S. C. A. Houetohossou, V. R. Houndji, C. G. Hounmenou, R. Sikirou, R. L. Glele Kakaï, In: Artificial Intelligence in Agriculture, Elsevier. Volume 9, 2023, Pages 46-60, ISSN 2589-7217,
• Radio coverage prediction: a bibliometric study , M. Balogoun, V. R. Houndji, A-C Honfoga, M. Dossou. International Congress on Information and Communication Technology (ICICT), 2023, London, Volume 4.
• Use of Artificial Intelligence in cardiology: where are we in Africa? , F. Lo, V. R. Houndji, M. Lamine, J. Degila. In: Saeed, R.A., Bakari, A.D., Sheikh, Y.H. (eds) Towards new e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 499. Springer, Cham.
• A Bibliometric Analysis of the Trends in the Research on Wearable Technologies for Cardiovascular Diseases , G. E. A. KPADJOUDA JOB, J. Degila, S. A. Ahouandjinou, V. R. Houndji, M. L. Ba. pHealth, Studies in Health Technology and Informatics, 2022.


Other scientific realizations

• CP4PP : Constraint Programming for Production Planning, V.R. Houndji, P. Schaus, https://bitbucket.org/ratheilesse/cp4pp, Toolkit (using the OscaR solver as a dependency) and some benchmarks on a variant of the Discrete Lot Sizing Problem. 2017.
• CP4CAP : Constraint Programming for Constrained Arborescence Problem, V.R. Houndji, P. Schaus, https://bitbucket.org/ratheilesse/cp4cap, Toolkit (using the Oscar solver as a dependency) and some benchmarks on a variant of the Constrained Arborescence Problem. 2017.
• CSPLib Problem 058 : Discrete Lot Sizing Problem, V.R. Houndji, P. Schaus, L. Wolsey, Y. Deville, http://www.csplib.org/Problems/prob058, CSPLib : A problem library for constraints. 2015.