Bikram Pratim Bhuyan

Papers

Total Citations

129

H-Index

About

Bikram Pratim Bhuyan is a rising researcher at the forefront of neuro-symbolic artificial intelligence, a paradigm that seeks to bridge the gap between neural learning and symbolic reasoning. His most impactful work, the 2024 survey "Neuro-symbolic artificial intelligence: a survey," has already garnered 124 citations, establishing him as a key voice in synthesizing this rapidly evolving field. In this comprehensive review, Bhuyan systematically maps the landscape of neuro-symbolic methods, highlighting their potential to combine the pattern recognition strengths of deep learning with the interpretability and logical rigor of symbolic AI. He further extends this exploration in "Neuro-Symbolic AI in Various Domains," demonstrating the practical applicability of these hybrid systems across diverse sectors. Beyond neuro-symbolic AI, Bhuyan has contributed to optimization theory with a 2025 survey on Manta Ray Foraging Optimization, cataloging its variants, hybridizations, and real-world applications. His work is characterized by a talent for distilling complex, interdisciplinary topics into accessible surveys that guide future research. With a rapidly growing citation footprint and a focus on foundational AI challenges, Bhuyan is a promising scholar whose contributions are shaping the next generation of intelligent, explainable systems.