collaborators

7 papers

cs.CV2026

A Hybrid Vision-Language Architecture for Automated Defect Reasoning and Report Generation in Industrial Inspection

Malikussaid, Imad Gohar

Automated industrial inspection requires both precise defect localization and structured maintenance report generation; in current practice these tasks are handled separately, with…

cs.DB2026

Accelerating Large-Scale Cheminformatics Using a Byte-Offset Indexing Architecture for Terabyte-Scale Data Integration

Malikussaid, Septian Caesar Floresko, Sutiyo

The integration of large-scale chemical databases represents a critical bottleneck in modern cheminformatics research, particularly for machine learning applications requiring high…

cs.LG2026

Diagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property Prediction

Malikussaid, Septian Caesar Floresko, Ade Romadhony +3

Lipophilicity (logP) prediction remains central to drug discovery, yet linear regression models for this task frequently violate statistical assumptions in ways that invalidate the…

cs.CY2025

The Impact of the Russia-Ukraine Conflict on the Cloud Computing Risk Landscape

Malikussaid, Sutiyo

This study examines how geopolitical tensions catalyze IT risk evolution through systematic analysis of the conflict's impact on data sovereignty, cybersecurity paradigms, and clou…

cs.LG2025

Bridging the Plausibility-Validity Gap by Fine-Tuning a Reasoning-Enhanced LLM for Chemical Synthesis and Discovery

Malikussaid, Hilal Hudan Nuha, Isman Kurniawan

Large Language Models frequently generate outputs that appear scientifically reasonable yet violate fundamental principles--a phenomenon we characterize as the "plausibility-validi…

cs.LG2025

VALID-Mol: a Systematic Framework for Validated LLM-Assisted Molecular Design

Malikussaid, Hilal Hudan Nuha, Isman Kurniawan

Large Language Models demonstrate substantial promise for advancing scientific discovery, yet their deployment in disciplines demanding factual precision and specialized domain con…