Bikram Pratim Bhuyan
- Laboratoire d'Ingénierie des Systèmes de Versailles (LISV)
- Université Paris-Saclay
- Ecole Centrale d'Electronique
Présentation
Dr. Bikram Pratim BHUYAN currently serves as the head of the three masters programs in MSc Artificial Intelligence, MSc Data Management, MSc Embedded AI & Edge Intelligence at École centrale d’électronique (ECE) École d’Ingénieurs, Paris, France and a researcher at LISV Laboratory, Université Paris-Saclay, France. He earned his PhD in Computer Science from Université Paris-Saclay and has over a decade of teaching and research experience in India and France, contributing to the integration of symbolic reasoning and deep learning for Neuro-Symbolic AI systems. He has authored numerous research papers in the field with several best-paper awards and actively contributes to the advancement of next-generation AI systems. He serves on the editorial board of Nature Scientific Reports and reviews for leading conferences and journals such as NeurIPS and AAAI. Beyond publications, Dr Bhuyan mentors PhD, MSc/MTech and BSc/BTech/BE students on topics ranging from knowledge representation to learning. A member of the AAAI, ACM and the European Trustworthy AI Association, he combines technical depth with pedagogical passion, preparing the next generation of engineers and scientists.
Domaines de recherche
Compétences
Publications
Publications
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Neuro-symbolic knowledge hypergraphs : knowledge representation and learning in neuro-symbolic artificial intelligenceArtificial Intelligence [cs.AI]. Université Paris-Saclay; University of Petroleum and Energy Studies (Dehradun, India), 2025. English. ⟨NNT : 2025UPASG024⟩
Thèse
tel-05051386
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Neuro-Symbolic Green Computing and Its Integration with UN Sustainability GoalsGreen Computing for Sustainable Development, 1, Auerbach Publications, pp.1-26, 2025, ⟨10.1201/9781003471356-1⟩
Chapitre d'ouvrage
hal-05088566
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Statistical Machine Learning in Loan Analysis from Financial InstitutionsMachine Intelligence and Data Science Applications, Springer Nature Singapore, pp.405-418, 2023, Algorithms for Intelligent Systems, ⟨10.1007/978-981-99-1620-7_32⟩
Chapitre d'ouvrage
hal-04738787
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A Guided Kolmogorov-Arnold Network for Enhanced Security in Assistive UAV Technologies2025 International Conference on Computer Systems and Technologies (CompSysTech), Jun 2025, Ruse, France. IEEE, pp.1-8, 2025, ⟨10.1109/CompSysTech65493.2025.11136929⟩
Proceedings/Recueil des communications
hal-05245001
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Encoding Higher-Order Logic in Spatio-Temporal Hypergraphs for Neuro-Symbolic LearningESANN 2025, Apr 2025, Bruges (Belgium) and online, France. pp.579-584, ⟨10.14428/esann/2025.ES2025-78⟩
Communication dans un congrès
hal-05041806
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Ontology Development for Sustainable Intelligent Transportation Systems2024 IEEE 29th Asia Pacific Conference on Communications (APCC), Nov 2024, BALI, France. pp.442-449, ⟨10.1109/APCC62576.2024.10767997⟩
Communication dans un congrès
hal-04815516
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An Ontological Knowledge Representation for Smart Agriculture2021 IEEE International Conference on Big Data (Big Data), Dec 2021, Orlando, France. pp.3400-3406, ⟨10.1109/BigData52589.2021.9672020⟩
Communication dans un congrès
hal-04083438
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Neuro-Symbolic Artificial IntelligenceSpringer Nature Singapore, 1176, 2024, Studies in Computational Intelligence, ⟨10.1007/978-981-97-8171-3⟩
Ouvrages
hal-04854182
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AI and Knowledge Representation in Smart Urban AgricultureDoctoral. Erasmus+ International Training Week, Selçuk Üniversitesi, Turkey. 2024, pp.25
Cours
hal-04595069
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