collaborators

11 papers

cs.CR2026

Post-Quantum Cryptography and Quantum-Safe Security: A Comprehensive Survey

Gaurab Chhetri, Shriyank Somvanshi, Pavan Hebli +2

Post-quantum cryptography (PQC) is moving from evaluation to deployment as NIST finalizes standards for ML-KEM, ML-DSA, and SLH-DSA. This survey maps the space from foundations to…

cs.AI2026

Model Context Protocols in Adaptive Transport Systems: A Survey

Gaurab Chhetri, Shriyank Somvanshi, Md Monzurul Islam +5

The rapid expansion of interconnected devices, autonomous systems, and AI applications has created severe fragmentation in adaptive transport systems, where diverse protocols and c…

cs.LG2026

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba

Shriyank Somvanshi, Md Monzurul Islam, Mahmuda Sultana Mimi +5

Structured State Space Models (SSMs) have become a prominent class of sequence models, developed against two long-standing difficulties: the sequential computation and gradient pro…

cs.NE2025

A Review on Influx of Bio-Inspired Algorithms: Critique and Improvement Needs

Shriyank Somvanshi, Md Monzurul Islam, Syed Aaqib Javed +6

Bio-inspired algorithms utilize natural processes such as evolution, swarm behavior, foraging, and plant growth to solve complex, nonlinear, high-dimensional optimization problems.…

cs.LG2025

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models

Shriyank Somvanshi, Pavan Hebli, Gaurab Chhetri +1

This study presents a deep tabular learning framework for predicting crash severity in electric vehicle (EV) collisions using real-world crash data from Texas (2017-2023). After fi…

cs.LG2025

From Tiny Machine Learning to Tiny Deep Learning: A Survey

Shriyank Somvanshi, Md Monzurul Islam, Gaurab Chhetri +8

The rapid growth of edge devices has driven the demand for deploying artificial intelligence (AI) at the edge, giving rise to Tiny Machine Learning (TinyML) and its evolving counte…