collaborators

6 papers

cs.AI2026

A Closed-Loop Evaluation of Capability Loss and Recovery in Compressed Driving Policies

Ahmad Alfan Alfian Irfan, Nur Ahmad Khatim, Mansur Arief

Many automobile and mobility companies deploy learned driving policies on embedded computers with limited memory and power. Pruning, knowledge distillation, and quantization are th…

cs.SE2026

Integrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications

Mansur Arief, Nur Ahmad Khatim, Ali Akarma +1

Modern software teams have mature tools for low-level testing, such as pytest, JUnit, and Jest, which make it inexpensive to write unit tests and run them on every commit. Systems…

cs.CV2026

Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis

Azmul A. Irfan, Nur Ahmad Khatim, Alfan Alfian Irfan +3

Grading knee osteoarthritis (KOA) on plain radiographs is poorly reproducible across readers. A single-grade disagreement on the Kellgren-Lawrence (KL) scale can alter surgical man…

cs.RO2026

Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities

Nur Ahmad Khatim, Mansur Arief

Securing petroleum infrastructure requires balancing autonomous system efficiency with human judgment for threat escalation, a challenge unaddressed by classical facility location…

cs.AI2024

Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia: A Proof-of-Concept Study

Nur Ahmad Khatim, Azmul Asmar Irfan, Mansur M. Arief

One of the critical issues contributing to inefficiency in Puskesmas (Indonesian community health centers) is the time-consuming nature of documenting doctor-patient interactions.…

cs.AI2024

Toward an Integrated Decision Making Framework for Optimized Stroke Diagnosis with DSA and Treatment under Uncertainty

Nur Ahmad Khatim, Ahmad Azmul Asmar Irfan, Amaliya Mata'ul Hayah +1

This study addresses the challenge of stroke diagnosis and treatment under uncertainty, a critical issue given the rapid progression and severe consequences of stroke conditions su…