EDBT 2026 Demo / reviewers in the wild / expert

Bikram Pratim Bhuyan

dblp:309/7206 · DBLP profile ↗
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4ranked-venue papers in the field
1as first author
4since 2021 · last 2026
0000-0001-5373-8912ORCID · verified

Domains — venue-derived; a paper can count in several

Big Data, Cloud & Distributed Data Systems · 3 (1 first)Data Mining & Knowledge Discovery · 1
YearPublicationVenuePosition
2026 Temporal motif-based representation learning on continuous-time dynamic graphs
Marouane Alilou, Bikram Pratim Bhuyan, Rachida Fissoune, Amar Ramdane-Cherif
 Data Min. Knowl. Discov.2
2025 Geometric Model Merging for Efficient and Scalable Adaptation of Large Language Models
abstract
International audience
Lilian Rage, Youri Lalain, Mathis Escriva, Martial Roberge, Paul Lemaistre, André-Louis Rochet, Gérard Réus, Bikram Pratim Bhuyan
 IEEE Big Data8
2025 CU-1: A Class-Agnostic Detection Transformer Bridging Large Language Models and Big Data Interface Understanding
abstract
International audience
André-Louis Rochet, Matis Despujols, Léo Appourchaux, Noé Brandolini, David Soeiro-Vuong, Paul Lemaistre, Gérard Réus, Bikram Pratim Bhuyan
 IEEE Big Data8
2021 An Ontological Knowledge Representation for Smart Agriculture
abstract
In order to provide the agricultural industry with the infrastructure it needs to take advantage of advanced technology, such as big data, the cloud, and the internet of things (IoT); smart farming is a management concept that focuses on providing the infrastructure necessary to track, monitor, automate, and analyse operations. To represent the knowledge extracted from the primary data collected is of utmost importance. An agricultural ontology framework for smart agriculture systems is presented in this study. The knowledge graph is represented as a lattice to capture and perform reasoning on spatio-temporal agricultural data.
Bikram Pratim Bhuyan, Ravi Tomar, Maanak Gupta, Amar Ramdane-Cherif
 IEEE BigData1