activity
20242026
most citedMeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning

7 citations · 18 across the 8 of their papers we have counts for

collaborators

9 papers

cs.SE2026

UAMTERS: Uncertainty-Aware Mutation Analysis for DL-enabled Robotic Software

Chengjie Lu, Jiahui Wu, Shaukat Ali +5

Self-adaptive robots adjust their behaviors in response to unpredictable environmental changes. These robots often incorporate deep learning (DL) components into their software to…

cs.SE2025

Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models

Sangwon Hyun, Shaukat Ali, M. Ali Babar

Assessing the trustworthiness of Large Language Models (LLMs), such as robustness, has garnered significant attention. Recently, metamorphic testing that defines Metamorphic Relati…

cs.SE2025

Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap

Hassan Sartaj, Shaukat Ali, Paolo Arcaini +1

Search-based software engineering (SBSE), which integrates metaheuristic search techniques with software engineering, has been an active area of research for about 25 years. It has…

cs.RO2025

Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels

Erblin Isaku, Hassan Sartaj, Shaukat Ali

An autonomous vessel (AV) is a complex cyber-physical system (CPS) with software enabling many key functionalities, e.g., navigation software enables an AV to autonomously or semi-…

cs.RO2025★ 1 cited

Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models

Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri +2

Future self-adaptive robots are expected to operate in highly dynamic environments while effectively managing uncertainties. However, identifying the sources and impacts of uncerta…

cs.SE2024★ 5 cited

Uncertainty-Aware Environment Simulation of Medical Devices Digital Twins

Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby

Smart medical devices are an integral component of the healthcare Internet of Things (IoT), providing patients with various healthcare services through an IoT-based application. En…

cs.SE2024★ 2 cited

Assessing Quantum Extreme Learning Machines for Software Testing in Practice

Asmar Muqeet, Hassan Sartaj, Aitor Arrieta +6

Machine learning has been extensively applied for classical software testing activities such as test generation, minimization, and prioritization. Along the same lines, there has b…

cs.SE2024★ 3 cited

REST API Testing in DevOps: A Study on an Evolving Healthcare IoT Application

Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby

Healthcare Internet of Things (IoT) applications often integrate various third-party healthcare applications and medical devices through REST APIs, resulting in complex and interde…

cs.SE2024★ 7 cited

MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning

Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby

Testing healthcare Internet of Things (IoT) applications at system and integration levels necessitates integrating numerous medical devices of various types. Challenges of incorpor…