Research

Modern computing systems are increasingly shaped by the convergence of AI, large-scale software infrastructures, data, and physical environments. This convergence creates new opportunities, but also fundamental challenges concerning reliability, safety, security, trustworthiness, scalability, and human interaction.

At IDeaLS Lab, we investigate these challenges across several interconnected research directions:

Research

Research 01

AI for Software Engineering & Software Engineering for AI

Generated UAV test scenarios, ICST 2027 testing track

We investigate how Machine Learning, Generative AI, Large Language Models, and AI agents can transform software development, testing, maintenance, evolution, and operation. At the same time, we study how Software Engineering principles can help build reliable, secure, reproducible, and trustworthy AI systems.

Research 02

Trustworthy AI & Intelligent Systems

Drone flight in strong wind, simulated weather

We develop methodologies for engineering AI-enabled systems that are reliable, transparent, responsible, robust, and dependable. Our research addresses challenges related to trustworthy Generative AI, AI-assisted development, explainability, evaluation, safety, and responsible AI.

Research 03

Autonomous Cyber-Physical Systems & Robotics

X500 drone inspecting a wind turbine, Isaac Sim

We investigate how software, AI, sensors, networks, and physical components can be integrated into safe and dependable autonomous systems. Applications include drones, robotics, autonomous vehicles, smart mobility, industrial systems, and intelligent infrastructures.

Research 04

AI Engineering, MLOps, DevOps & Cloud Computing

48 Unitree G1 humanoids sharing one policy

We develop approaches for engineering the lifecycle of AI-intensive and large-scale software systems, including automated development and deployment pipelines, continuous integration and delivery, model monitoring, data and model evolution, scalability, and reliability.

Research 05

Data-driven Software Engineering & Empirical Research

3D OctoMap built by a TurtleBot3 in the lab

We use large-scale software repositories, developer data, empirical methods, Natural Language Processing, and Data Science to understand how software is developed and maintained and to create evidence-based technologies for improving software quality and developer productivity.

Our approach

From Fundamental Research to Real-World Impact

There are no “basic” or “applied” researchers, only research in different states.

We move between fundamental inquiry and real-world application as the research question, the technological opportunity and the societal or industrial challenge require.

Funded by

Swiss National Science Foundation (SNSF)InnosuisseHasler FoundationEuropean Commission

Collaboration

Research in Action

Current topics

Generative AI and LLMs for Software EngineeringTrustworthy and Responsible AIAI-assisted software developmentAI agents and intelligent software systemsTesting and verification of autonomous systemsUAVs and autonomous vehiclesRobotics and intelligent mobilityMLOps and AI engineeringDevOps for Cyber-Physical SystemsCloud and large-scale software infrastructuresAI and Software Engineering for healthcare and life sciencesData-driven and empirical software engineering

Selected projects

All grants and projects →

Network

Research Ecosystem & Collaborations

35industrial and innovation collaborations
50academic collaborators
18+countries in the academic network

The IDeaLS Lab hosts this network. Industrial partners bring real-world problems, technologies, datasets and operating environments; academic partners strengthen methods, scientific exchange and international visibility.

Industry

Industrial & Innovation Ecosystem

I collaborate with large technology companies, start-ups and research-driven enterprises in aerospace, robotics, automotive, healthcare, cloud computing, railways and industrial automation. The collaborations cover joint projects, funding proposals, technology transfer and Bachelor’s and Master’s theses; the table lists a selection.

Organization Country Period Research Area
Leonardo S.p.A. Italy 2026-02–Today Artificial Intelligence, Autonomous Systems, Software Engineering
Cubbit Italy 2026-02–Today Cloud Computing, Distributed Systems, AI-enabled Infrastructure
NXP Netherlands 2025-05–Today Embedded Systems, Cyber-Physical Systems
Hygeia Hospitals Greece 2025-06–Today Healthcare, AI, Data Analytics
TKMS ATLAS ELEKTRONIK GmbH Germany 2025-05–Today Safety-Critical Systems, Autonomous Technologies
BioAssist Greece 2025-06–Today Biopharmaceutical R&D, AI, Software Engineering
Institut für angewandte Systemtechnik Bremen GmbH (ATB) Germany 2025-05–Today Industrial AI, Cyber-Physical Systems
PAL ROBOTICS SLU Spain 2025-06–Today Robotics, Autonomous Systems
JetBrains Netherlands 2025-05–Today Software Engineering Tools, Developer Productivity
LOXO Switzerland 2025-04–Today Autonomous Driving Technologies
Tahereh Zohdinasab (Sonova Group) Switzerland 2024-09–Today Software Engineering, Data Analytics
Genedata Switzerland 2024-01–Today Biopharmaceutical R&D, AI/ML
Terraview Switzerland 2021-05–Today Agriculture, AI-based Systems
Stadler Signalling AG Switzerland 2022-05–Today Mobility, Safety-Critical Systems
ANYbotics Switzerland 2021-10–Today Autonomous Robots, Robotics Software
LEDCity Switzerland 2021-12–Today AI-based Optimization, Smart Systems
BeamNG Germany 2020-06–Today Simulation, Autonomous Vehicles Testing
ARQUIMEA Spain 2020-02–Today Autonomous Vehicles, Aerospace Systems
BOND Switzerland 2019-10–2021 Smart Mobility, eBikes
Helio Switzerland 2019-10–Today Computational Systems
Siemens Healthcare GmbH Germany 2019-05–Today Healthcare Software Systems
Intelligentia S.r.l. Italy 2020-01–Today Aerospace, Autonomous Systems
AICAS GmbH Germany 2020-01–Today Automotive Software
Q-media s.r.o. Czech Republic 2020-01–Today Railway Systems
Unparallel Innovation LDA Portugal 2019-01–Today Water-Smart Systems
smide Switzerland 2019-01–2020 Smart Mobility, eBikes
The Open Group Belgium 2019-01–Today Open Standards, Digital Transformation
Siemens AG Germany 2019-01–Today DevOps, Industrial Software Systems
GMV Spain 2019-01–Today Aviation, Autonomous Systems
Red Hat Switzerland 2018–Today DevOps, Cloud-native Software Engineering
Haidar Osman (Swisscom) Switzerland 2018–Today Data Science, Artificial Intelligence
VSHN Switzerland 2018–2019 DevOps, Cloud Platforms
Ikubinfo Austria 2018–Today DevOps, Software Engineering
Daniele Romano (ING) Netherlands 2017–Today DevOps, Software Engineering
Junji Shimagaki (Sony Mobile Communications) Japan 2016–2018 Mobile Software Engineering

Academia

International Academic Research Network

Academic collaborators come from universities and research institutes in the following countries, among others. The collaborations include joint publications, international projects, research visits and PhD and postdoctoral mentoring; the table lists a selection.

Italy

Switzerland

Germany

Netherlands

Spain

France

Belgium

Luxembourg

Austria

Finland

Norway

United Kingdom

United States

Canada

Australia

Japan

China

Chile

ResearcherInstitutionPeriod
Jane Cleland-HuangUniversity of Notre Dame, USA2024–Today
Pablo Sánchez-MolinaUniversity of Malaga, Spain2024–Today
Aldeida AletiMonash University, Australia2023–Today
Catia TrubianiGran Sasso Science Institute (GSSI), Italy2024–Today
Anna Rita FasolinoUniversity of Naples, Italy2023–Today
Fiorella ZampettiUniversity of Sannio, Italy2017–Today
Alexandre BergelUniversity of Chile2024–Today
Sasa MiladinovicHES-SO Valais-Wallis, Switzerland2023–Today
Diane de ZélicourtUniversity of Zurich, Switzerland2022–Today
Giovanni GuizzoUniversity College London, UK2021–2023
Anand SawantUniversity of California Davis, USA2020–2022
Pooja RaniUniversity of Zurich, Switzerland2018–Today
Pouria DerakhshanfarPreviously Delft University of Technology; currently JetBrains2021–2022
Rafael KallisIndependent Researcher / Rafael Kallis Consulting2019–Today
Leonardo MilitanoZurich University of Applied Sciences2019–Today
Alessio GambiAustrian Institute of Technology (AIT), Austria2019–Today
Sebastian ProkschDelft University of Technology, Netherlands2018–2019
Karina VillelaFraunhofer IESE, Germany2018–Today
Emitza GuzmanVrije Universiteit Amsterdam, Netherlands2015–2017
Myra CohenUniversity of Nebraska, USA2023–Today
Paolo ArcainiNational Institute of Informatics (NII), Japan2023–Today
Patricia LagoVrije Universiteit Amsterdam, Netherlands2023–Today
Ivano MalavoltaVrije Universiteit Amsterdam, Netherlands2023–Today
Vincenzo RiccioUniversity of Udine, Italy2020–Today
Alessandra GorlaIMDEA Software Institute, Spain2020–Today
Alexander SerebrenikEindhoven University of Technology, Netherlands2020–Today
Vincent HellendoornCarnegie Mellon University, USA2019–Today
Xavier DevroeyUniversité de Namur, Belgium2020–Today
Gordon FraserUniversity of Passau, Germany2020–Today
Aitor Arrieta MarcosMondragon Unibertsitatea, Spain2020–Today
Prof. ScaramuzzaUniversity of Zurich, Switzerland2019–Today
Domenico BianculliUniversity of Luxembourg, Luxembourg2019–Today
Fabrizio PastoreUniversity of Luxembourg, Luxembourg2019–Today
Gregorio RoblesUniversidad Rey Juan Carlos, Spain2018–Today
Damian A. TamburriUniversity of Sannio, Italy2019–Today
Paolo TonellaUniversity of Lugano, Switzerland2019–Today
Shaukat AliSimula Research Laboratory, Norway2018–Today
Davide TaibiUniversity of Oulu, Finland2019–Today
Oscar NierstraszUniversity of Bern, Switzerland2018–2022
Timo KehrerUniversity of Bern, Switzerland2021–Today
Yu ZhouNanjing University of Aeronautics and Astronautics, China2016–Today
Taolue ChenBirkbeck, University of London, UK2016–Today
Andy ZaidmanDelft University of Technology, Netherlands2016–Today
Aaron VisaggioUniversity of Foggia, Italy2015–Today
Venera ArnaoudovaWashington State University, USA2015–Today
Harald GallUniversity of Zurich, Switzerland2014–Today
Gabriele BavotaUniversity of Lugano, Switzerland2013–2015
Gerardo CanforaUniversity of Sannio, Italy2011–Today
Massimiliano Di PentaUniversity of Sannio, Italy2011–Today
Andrea De LuciaUniversity of Salerno, Italy2009–Today

Research Impact

110+publications in international journals and conferences
~8,000Google Scholar citations
50h-index
3.5M+CHF in competitive funding as PI or co-PI

Recognition

Top-20 Most Impactful Software Engineering Researchers WorldwideStanford University Top 2% ScientistsScholarGPS top 0.5% of scholars worldwide

Awards include Best Paper, Most Influential Paper and Distinguished Reviewer Awards.