collaborators

7 papers

cs.CV2026

Parameter Efficient Fine-tuning for Domain-specific Gastrointestinal Disease Recognition

Sanjaya Poudel, Nikita Kunwor, Raj Simkhada +3

Despite recent advancements in the field of medical image analysis with the use of pretrained foundation models, the issue of distribution shifts between cross-source images largel…

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…