collaborators

5 papers

cs.SE2026

CAKE: Cloud Architecture Knowledge Evaluation of Large Language Models

Tim Lukas Adam, Phongsakon Mark Konrad, Riccardo Terrenzi +4

In today's software architecture, large language models (LLMs) serve as software architecture co-pilots. However, no benchmark currently exists to evaluate large language models' a…

eess.IV2026

Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models

Phongsakon Mark Konrad, Casper Kunstmann-Olsen, Jacek Fiutowski +1

Post-harvest fruit quality assessment is essential for reducing food waste, yet reliable non-destructive methods typically depend on expensive hyperspectral cameras and computation…

cs.SE2026

Architecture Without Architects: How AI Coding Agents Shape Software Architecture

Phongsakon Mark Konrad, Tim Lukas Adam, Riccardo Terrenzi +1

AI coding agents select frameworks, scaffold infrastructure, and wire integrations, often in seconds. These are architectural decisions, yet almost no one reviews them as such. We…

cs.IR2026

A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search

Riccardo Terrenzi, Phongsakon Mark Konrad, Tim Lukas Adam +1

Ad hoc dataset search requires matching underspecified natural-language queries against sparse, heterogeneous metadata records, a task where typical lexical or dense retrieval alon…

cs.CV2025

Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets

Phongsakon Mark Konrad, Andrei-Alexandru Popa, Yaser Sabzehmeidani +5

Accurate segmentation of carotid artery structures in histopathological images is vital for cardiovascular disease research. This study systematically evaluates ten deep learning s…