activity
20242026
most citedAdvancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba

4 citations · 4 across the 3 of their papers we have counts for

collaborators

8 papers

cs.RO2026

HERMES: Heterogeneous Edge-Relational Multi-Head Embedded SSM Attention for Traffic Conflict Prediction at Signalized Intersections

Md Monzurul Islam, Subasish Das

Surrogate safety measures (SSMs) enable proactive traffic safety assessment, but many existing methods evaluate pairwise interactions independently or flatten multi-agent scenes in…

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.LG20264 cited

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

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…

cs.LG2025

ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity

Mahmuda Sultana Mimi, Md Monzurul Islam, Anannya Ghosh Tusti +2

Understanding the spatial and temporal dynamics of automated vehicle (AV) crash severity is critical for advancing urban mobility safety and infrastructure planning. In this work,…