activity
20242026
collaborators

7 papers

cond-mat.mtrl-sci2026

Genome-Guided Interpretable Screening of Phase-Stable, Lead-Free Double Perovskite Absorbers for All-Inorganic Semiconductors, Sensors, and Photovoltaics with DFT-Validated Design Rules

Nafis Ahtasu, Sohanur Rahman Sohan, Md. Mostaq Ahmed Himel +6

The discovery of stable, lead-free halide perovskites for optoelectronic applications is constrained by vast compositional space and limited interpretability of conventional screen…

cs.LG2026

Explainable Deep Radiogenomic Molecular Imaging for MGMT Methylation Prediction in Glioblastoma

Hasan M Jamil

Glioblastoma (GBM) is a highly aggressive primary brain tumor with limited therapeutic options and poor prognosis. The methylation status of the O6-methylguanine-DNA methyltransfer…

cs.SE2025

CodeR3: A GenAI-Powered Workflow Repair and Revival Ecosystem

Asif Zaman, Kallol Naha, Khalid Belhajjame +1

Scientific workflows encode valuable domain expertise and computational methodologies. Yet studies consistently show that a significant proportion of published workflows suffer fro…

cs.DL2025

Mapping the Evolution of Research Contributions using KnoVo

Sajratul Y. Rubaiat, Syed N. Sakib, Hasan M. Jamil

This paper presents KnoVo (Knowledge Evolution), an intelligent framework designed for quantifying and analyzing the evolution of research novelty in the scientific literature. Mov…

cs.IR2025

A GenAI System for Improved FAIR Independent Biological Database Integration

Syed N. Sakib, Kallol Naha, Sajratul Y. Rubaiat +1

Life sciences research increasingly requires identifying, accessing, and effectively processing data from an ever-evolving array of information sources on the Linked Open Data (LOD…

cs.IR2025

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models

Sajratul Y. Rubaiat, Hasan M. Jamil

The exponential growth of scientific literature challenges researchers extracting and synthesizing knowledge. Traditional search engines return many sources without direct, detaile…