collaborators

11 papers

cs.CV2026

Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

Nirajan Kunwor, Sanjaya Poudel, Quoc-Huy Trinh +2

Dermatology artificial intelligence (AI) models are predominantly trained on light-skinned, cancer-focused image collections, yet they are increasingly proposed for deployment in r…

cs.SE2025

Citation-Grounded Code Comprehension: Preventing LLM Hallucination Through Hybrid Retrieval and Graph-Augmented Context

Jahidul Arafat

Large language models have become essential tools for code comprehension, enabling developers to query unfamiliar codebases through natural language interfaces. However, LLM halluc…

cs.LG2025

Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning

Jahidul Arafat

Federated learning enables collaborative model training across distributed data sources but suffers from slow convergence under non-IID data conditions. Existing solutions employ a…

cs.SE2025

How Deep Does Your Dependency Tree Go? An Empirical Study of Dependency Amplification Across 10 Package Ecosystems

Jahidul Arafat

Modern software development relies on package ecosystems where a single declared dependency can pull in many additional transitive packages. This dependency amplification, defined…

cs.CL2025

Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation

Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel

Wordle presents an algorithmically rich testbed for constraint satisfaction problem (CSP) solving. While existing solvers rely on information-theoretic entropy maximization or freq…

q-bio.GN2025

AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining

Jahidul Arafat, Sanjaya Poudel

Nanopore sequencing enables real-time long-read DNA sequencing with reads exceeding 10 kilobases, but inherent error rates of 12-15 percent present significant computational challe…

eess.IV2025

Synthetic-to-Real Transfer Learning for Chromatin-Sensitive PWS Microscopy

Jahidul Arafat, Sanjaya Poudel

Chromatin sensitive partial wave spectroscopic (csPWS) microscopy enables label free detection of nanoscale chromatin packing alterations that occur before visible cellular transfo…

cs.CY2025

Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI

Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel +1

Medical AI faces challenges in privacy-preserving collaborative learning while ensuring fairness across heterogeneous healthcare institutions. Current federated learning approaches…

cs.LG2025

Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints

Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel

Multi-class wine classification presents fundamental trade-offs between model accuracy, feature dimensionality, and interpretability - critical factors for production deployment in…

cs.DC2025

Next-Generation Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration Across Messaging Frameworks

Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel

Modern distributed systems demand low-latency, fault-tolerant event processing that exceeds traditional messaging architecture limits. While frameworks including Apache Kafka, Rabb…

cs.SE2025

Detecting and Preventing Latent Risk Accumulation in High-Performance Software Systems

Jahidul Arafat, Kh. M. Moniruzzaman, Shamim Hossain +1

Modern distributed systems employ aggressive optimization strategies that create latent risks - hidden vulnerabilities where exceptional performance masks catastrophic fragility wh…