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Discover the stories behind our research papers - in-depth explorations of our work, methodologies, and findings
Shriyank Somvanshi, Md Monzurul Islam, Syed Aaqib Javed, Gaurab Chhetri, Kazi Sifatul Islam, Tausif Islam Chowdhury, Sazzad Bin Bashar Polock, Anandi Dutta, Ph.D., Subasish Das, Ph.D.
Comprehensive survey of bio-inspired algorithms exploring their theoretical foundations, applications, and future potential in optimization and machine learning.
Shriyank Somvanshi, Syed Aaqib Javed, Md Monzurul Islam, Diwas Pandit, Subasish Das, Ph.D.
Comprehensive survey of Kolmogorov-Arnold Networks (KAN) exploring theoretical foundations, evolution, applications, and future potential in neural network architectures.
Gaurab Chhetri, Shriyank Somvanshi, Md Monzurul Islam, Shamyo Brotee, Mahmuda Sultana Mimi, Dipti Koirala, Biplov Pandey, Subasish Das, Ph.D.
Comprehensive survey of MCP exploring their theoretical foundations, evolution, applications, and future potential in AI-enabled adaptive systems.
Shriyank Somvanshi, Md Monzurul Islam, Mahmuda Sultana Mimi, Sazzad Bin Bashar Polock, Gaurab Chhetri, Subasish Das, Ph.D.
Comprehensive survey of Structured State Space Models (SSMs) exploring their theoretical foundations, evolution, applications, and future potential in sequence modeling.
Shriyank Somvanshi, Md Monzurul Islam, Gaurab Chhetri, Rohit Chakraborty, Mahmuda Sultana Mimi, Sawgat Ahmed Shuvo, Kazi Sifatul Islam, Syed Aaqib Javed, Sharif Ahmed Rafat, Anandi Dutta, Ph.D., Subasish Das, Ph.D.
Comprehensive survey of Tiny Machine Learning to Tiny Deep Learning exploring their evolution, optimization techniques, hardware platforms, and applications in edge AI.
Shriyank Somvanshi, Subasish Das, Ph.D., Syed Aaqib Javed, Gian Antariksa, Ahmed Hossain
Comprehensive survey of deep learning models for tabular data exploring their evolution, architectures, and applications across various domains.