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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, Amir Rafe, Ph.D., Anannya Ghosh Tusti, Arka Chakraborty, Anika Baitullah, Tausif Islam Chowdhury, Nawaf Alnawmasi, Anandi Dutta, Ph.D., Subasish Das, Ph.D.
ACM Computing Surveys article surveying mechanistic interpretability: neurons, circuits, algorithms, and behavioral, counterfactual, and causal evaluation.
Gaurab Chhetri, Shamyo Brotee, Mohammed Wasim Ansari, Venkata Surya Bellamkonda, Amir Rafe, Ph.D., Nawaf Alnawmasi, Anandi Dutta, Ph.D., Subasish Das, Ph.D.
Survey of machine unlearning for foundation models and LLMs: taxonomy, methods, guarantees, interfaces, and verification.
Shriyank Somvanshi, Subasish Das, Ph.D., Md Monzurul Islam, Sazzad Bin Bashar Polock, Gaurab Chhetri, Darrell Anderson
Survey of quantum computing methods mapped to transportation engineering and intelligent transportation systems, covering optimization, learning, and deployment challenges.
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.
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, 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.
Shamyo Brotee, Gaurab Chhetri, Sazzad Bin Bashar Polock, Venkata Surya Bellamkonda, Amir Rafe, Ph.D., Subasish Das, Ph.D.
Survey of Joint Embedding Predictive Architectures and their role as world models across vision, video, audio, 3D, and multimodal 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.
Gaurab Chhetri, Shriyank Somvanshi, Pavan Hebli, Shamyo Brotee, Subasish Das, Ph.D.
Comprehensive survey of post-quantum cryptography from algorithm families and NIST standards through implementation, protocols, and deployment for quantum-safe 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.
Gaurab Chhetri, Shriyank Somvanshi, Mahmuda Sultana Mimi, Mohammed Wasim Ansari, Md Monzurul Islam, Swastika Barua, Subasish Das, Ph.D.
Survey of realism and causality in synthetic data generation, covering RAD-style evaluation, generative and simulators, and trustworthy deployment.