Computer Engineering (CE)

Research Focus

We make computation real. Connecting hardware, software, communication, and the physical world to build computing systems that are intelligent, dependable, secure, and sustainable.

Committed to society.

Our Computer Engineering (CE) research focus has an integrative systems perspective that bridges traditionally separate disciplines: Our researchers combine expertise in hardware and software co-design, cyber-physical systems, dependable and safety-critical systems, energy-aware computing, and scalable computing infrastructures. This allows us to address challenges ranging from low-power embedded devices and intelligent edge systems to autonomous cyber-physical ecosystems and high-performance computing platforms.

Through strong international collaborations and leadership in European and national research projects, we shape the future of computing technologies and their societal impact. Our industry partnerships translate fundamental research into impact, exemplified by our pioneering time-triggered systems and the spin-off TTTech, as well as internationally recognized research leading to Liquid Neural Networks and Liquid AI.

Sustainability

Growing Data with our Green Facade

2026-07-13
Faculty
Focus CE
Focus VC+HCT

What started as tiny seedlings is now a thriving green facade—helping researchers explore sustainable buildings with the help of a digital twin.

Conference

#README: 27th RoboRacer Autonomous Racing Competition

2026-06-11
Event
Focus CE
Focus VC+HCT

Thrilling races, vivid discussions, and a bunch of exciting developments for the future of autonomous driving - that was the 27th Autonomous Racing Competition!

Powered by community.

We advance computing from the ground up. Uniting hardware, software, and systems expertise to build not only robust but transformative tech.
Ezio Bartocci, Focus Coordinator

Contact

Ezio Bartocci E. Bartocci

Focus Coordinator

ezio.bartocci@tuwien.ac.at

Grant

FFG Leitprojekt DOMINO

2026-01-23
People
FFG
Excellence
Focus CE
Focus ISE

We’re delighted that Daniel Müller-Gritschneder’s project, DOMINO, has been selected for funding by the FFG!

Professors

Johann Blieberger J. Blieberger

Automation Systems
Associate Professor

Ivona Brandic I. Brandic

Computational Sustainability
Full Professor

Radu Grosu R. Grosu

Cyber-Physical Systems
Full Professor

Sascha Hunold S. Hunold

Parallel Computing
Associate Professor

Ulrich Schmid U. Schmid

Embedded Computing Systems
Retired Professor

Andreas Steininger A. Steininger

Embedded Computing Systems
Associate Professor

Wolfgang Zagler W. Zagler

Human Computer Interaction
Retired Professor

Daniel Müller-Gritschneder D. Müller-Gritschneder

Embedded Computing Systems
Full Professor

Peter Puschner P. Puschner

Cyber-Physical Systems
Associate Professor

M. Anton Ertl M. Ertl

Compilers and Languages
Associate Professor

Ezio Bartocci E. Bartocci

Cyber-Physical Systems
Full Professor

Tobias Fiebig T. Fiebig

Internet Infrastructures
Full Professor

Andreas Krall A. Krall

Compilers and Languages
Retired Professor

Jesper Larsson Träff J. Träff

Parallel Computing
Retired Professor

Christos Mavridis C. Mavridis

Cyber-Physical Systems
Assistant Professor

Georg Weissenbacher G. Weissenbacher

Formal Methods in Systems Engineering
Full Professor

Elena Andreeva E. Andreeva

Security and Privacy
Associate Professor

Thomas Grechenig T. Grechenig

Business Informatics
Retired Professor

Martina Lindorfer M. Lindorfer

Security and Privacy
Associate Professor

Marco Squarcina M. Squarcina

Security and Privacy
Assistant Professor

Scientific Staff

Edris Zaman Farsa E. Zaman Farsa

Embedded Computing Systems
PreDoc Researcher

Josef Widder J. Widder

Embedded Computing Systems
Affiliated

Mihaela-Larisa Clement M. Clement

Cyber-Physical Systems
PreDoc Researcher

Daniel Hofstätter D. Hofstätter

Computational Sustainability
PreDoc Researcher

Monika di Angelo M. di Angelo

Automation Systems
PostDoc Researcher

Luca Di Stefano L. Di Stefano

Cyber-Physical Systems
PostDoc Researcher

Daniela Kaufmann D. Kaufmann

Formal Methods in Systems Engineering
PostDoc Researcher

Koumudi Yasara Ganepola Ganepola Achchige K. Ganepola Achchige

Data Management
PreDoc Researcher

Manuel Sorge M. Sorge

Algorithms and Complexity
PostDoc Researcher

Dedicated to excellence.

Big questions deserve high standards. Our award-winning research shows that we are pushing the limits. Here is what we have been working on.

Funding

NoctuaNet2 secures €200,000 and advances in Anti-Drone Response Challenge

2026-09-10
Award
Competition
AI
Focus CE

The funding supports the team from TU Wien in building a robust counter-system that combines AI-driven visual detection with high-speed autonomous drones.

Award

NEST project selected for funding by the FFG!

2026-03-05
FFG
AI
Excellence
Focus CE
Focus AI+DS

We’re delighted to announce that the project Neuro-symbolic Ethical Safe Traffic has been selected for funding by the FFG!

Below is some of our recent work.
Want more? Head over to our research unit pages!

Recent Projects

QAE: Quantum Algorithm Engineering
2026 – 2029 / Austrian Research Promotion Agency (FFG)
ALPAQA: Advancing learning paradigms for photonic quantum processors
2026 – 2028 / Vienna Science and Technology Fund (WWTF)
DOMINO: ML DevOps Methods for a Green and Safe EdgeAI Lifecycle
2025 – 2028 / Austrian Research Promotion Agency (FFG)
HoloWaterAI: AI-supported Holographic Environmental Water Monitoring
2025 – 2028 / Vienna Science and Technology Fund (WWTF) / Website
TA-CPS: Trustworthy Autonomous Cyber-Physical Systems
2023 – 2028 / TTTech Auto AG / Publications (4)
Intel CARS 2: Robust Atomic Computing Platform and Enhanced Fault-Tolerant Distributed Algorithms 2
2019 – 2028 / Intel Corporation
MATTO-GBM: Multimodality Artificial intelligence open-source Tools for Radiation Treatment Optimization in patients with Glioblastoma
2024 – 2027 / Austrian Science Fund (FWF) / Publications (5)
Themis FWF: Themis - Trustworthy and Sustainable Code Offloading
2024 – 2027 / Austrian Science Fund (FWF) / Publications (14)
TRITON FWF: Transprecise Edge Computing
2023 – 2027 / Austrian Science Fund (FWF) / Publications (19)
DC Digi Twin 2.0: Optimierung der Energieeffizienz im IT-Betrieb von WienIT durch datengetriebene Ansätze & explorative Forschung 2.0
2025 – 2026 / WienIT GmbH
GenerIoT - Unterauftrag: Generating and Deploying Lightweight, Secure and Zero-overhead Software for Multipurpose IoT Devices
2025 – 2026 / XCoorp GmbH
TÜV-trustworthy electronics
2025 – 2026 / TÜV Austria Holding AG
Virtual Shepherd
2024 – 2026 / Austrian Research Promotion Agency (FFG) / Publications (6)
EdgeAI: EdgeAI: Technologies for Optimized Performance - Embedded Processing
2022 – 2026 / Austrian Research Promotion Agency (FFG) / Publication
NimbleAI: ULTRA-ENERGY EFFICIENT AND SECURE NEUROMORPHIC SENSING AND PROCESSING AT THE ENDPOINT
2022 – 2026 / European Commission / Publications (2)
DC Digi Twin: Optimierung der Energieeffizienz im IT-Betrieb von WienIT durch datengetriebene Ansätze & explorative Forschung
2024 – 2025 / WienIT GmbH
CORPORA: COntext-free model checking for Recursive PrObabilistic pRogrAms
2023 – 2025 / European Commission / Publications (6)
HPQC: High-Performance integrated Quantum Computing
2023 – 2025 / Austrian Research Promotion Agency (FFG) / Publications (11)
HPQC: High‐Performance integrated Quantum Computing
2022 – 2025 / Austrian Research Promotion Agency (FFG) / Website / Publications (5)
Autotune: Offline and Online Autotuning of Parallel Applications
2021 – 2025 / Austrian Science Fund (FWF) / Publications (16)

Recent Publications

Gao, Q., Han, L., Hunold, S., Robert, Y., Vivien, F. (2026). Coping With Silent Errors for Workflows of Moldable Tasks. IEEE Transactions on Parallel and Distributed Systems, 37(11), 2296–2311. Peer-reviewed.
DOI: 10.1109/TPDS.2026.3727706
He, J., Kenbeek, V. T. W., Yang, Z., Qu, M., Bartocci, E., Ničković, D., Grosu, R. (2026). TD-interpreter: enhancing the understanding of timing diagrams with visual-language learning. Computing, 108(11), Article 163. Peer-reviewed.
DOI: 10.1007/s00607-026-01737-7
Hunold, S., Träff, J. L., Laso, R. (2026). Tuned your MPI library? Now check the performance guidelines. Parallel Computing, 129, Article 103205. Peer-reviewed.
DOI: 10.1016/j.parco.2026.103205 / Download: PDF / Project: Autotune
Ahmad, S., Schneidergruber, T., Brandic, I., Scholz, J. (2026). On-Device Federated Learning for Remote Alpine Livestock Monitoring. In W. E. Nagel, D. Goehringer, P. C. Diniz (Eds.), Euro-Par 2025: Parallel Processing : 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25–29, 2025, Proceedings, Part II (pp. 365–379). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-99857-7_26
Laso, R., Salimi Beni, M., Vardas, I., Benkner, S., Hunold, S. (2026). Where Did My NCCL Calls Go? A Profiler Comparison. In 2026 IEEE International Parallel and Distributed Processing Symposium Workshops : IPDPSW 2026 (pp. 431–435). IEEE. Peer-reviewed.
DOI: 10.1109/IPDPSW71298.2026.00076
Šabanović, A., Maliakel, P. J., Brandić, I. (2026). INAR-VL: Input-Aware Routing for Edge–Cloud Vision–Language Inference. In Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops (pp. 328–335). Association for Computing Machinery.
DOI: 10.1145/3812836.3814782
Lehninger, P., Steininger, A., Jantsch, A. (2026). Effect of Self-Timed Design Styles on the Lifetime of NEMS Circuits. In 2026 30th International Symposium on Asynchronous Circuits and Systems : ASYNC 2026 (pp. 88–91). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/ASYNC69614.2026.00022 / Download: PDF
Burin, J., Afsah, A., Steininger, A. (2026). Amplifier Circuit-Based Metastability Model. In 2026 30th International Symposium on Asynchronous Circuits and Systems (ASYNC) (pp. 74–82). IEEE. Peer-reviewed.
DOI: 10.1109/ASYNC69614.2026.00020
Djajapermana, M., Reiber, M., Müller-Gritschneder, D., Schlichtmann, U. (2026). Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification. In M. Cerrato, D. Kalinauskaitė, M. Lukoševičius, Kristina Šutienė, M. Pechenizkiy (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. 168–179). Springer.
HDL: 20.500.12708/230081
Laso, R., Salimi Beni, M., Vardas, I., Benkner, S., Hunold, S. (2026). To ncclsee, or Not to ncclsee: That is the Profiling Question. In I. Vialov (Ed.), Austrian-Slovenian HPC Meeting 2026 – ASHPC26 (pp. 13–13). EuroCC Austria.
DOI: 10.34726/12480 / Download: PDF
Clement, M.-L., Farsang, M., Stanusoiu, M.-T., Rus, D., Hasani, R., Grosu, R., Bartocci, E. (2026). Evaluating Domain-Shift Generalization of Liquid Neural Networks in Autonomous Driving. In Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop. Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop, Rio de Janeiro, Brazil. Peer-reviewed.
HDL: 20.500.12708/227937 / Project: DK - AR
Lemmel, J., Resch, F., Farsang, M., Hasani, R., Rus, D., Grosu, R. (2026). Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL. In Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop. Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop, Rio de Janeiro, Brazil. Peer-reviewed.
HDL: 20.500.12708/227938
Yadav, D., Mandrioli, C., Bartocci, E., Bianculli, D. (2026). Fault Injection for Simulink-based CPS Models: Insights and Future Directions. In 40th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 3834–3839). IEEE. Peer-reviewed.
DOI: 10.1109/ASE63991.2025.00326
Lemmel, J., Kranzl, M., Lamine, A., Neubauer, P., Grosu, R., Neubauer, S. (2026). Online Fine-Tuning of Carbon Emission Predictions using Real-Time Recurrent Learning for State Space Models. In 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 6953–6958). IEEE. Peer-reviewed.
DOI: 10.34726/12240 / Download: PDF
Grosu, R. (2026). ResNets, NeuralODEs and CT-RNNs are Particular Neural Regulatory Networks. In Engineering Safe and Trustworthy Cyber Physical Systems : Essays Dedicated to Werner Damm on the Occasion of His 71st Birthday (Vol. 15471, pp. 288–297). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-97537-0_17
Schuchart, J., Bouteiller, A., Hunold, S., Jaeger, J., Niethammer, C., Smith, B. (Eds.). (2026). Recent Advances in the Message Passing Interface (Vol. 15977). Springer, Cham. Peer-reviewed.
DOI: 10.1007/978-3-032-07194-1
El Shahaby, R., Függer, M., Huemer, F., Steininger, A. (2025). SeAL: A Provably Complete Fault-Injection Tool for Asynchronous Circuits. In 2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS). 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS 2025), Marrakech, Morocco. IEEE. Peer-reviewed.
DOI: 10.1109/ICECS66544.2025.11270590
Ertl, M. A. (2025). Multi-precision integer arithmetics. In D. Holle, J. Knoop, M. Plümicke, P. Thiemann, B. Trancón Widemann (Eds.), Tagungsband des Jahrestreffens 2025 der GI-Fachgruppe “Programmiersprachen und Rechenkonzepte” (pp. 15–25). Fakultät Technik der DHBW Stuttgart.
DOI: 10.34726/11859 / Downloads: PDF, PDF
van Kempen, P., Hager-Clukas, A., Müller-Gritschneder, D., Schlichtmann, U. (2025). GenIE: Reuse-Oriented Generation of Domain-Specific Instruction Extensions. In 2025 IEEE Nordic Circuits and Systems Conference (NorCAS). IEEE Nordic Circuits and Systems Conference (NorCAS 2025), Riga, Latvia. IEEE. Peer-reviewed.
DOI: 10.1109/NorCAS66540.2025.11231278
Klotz, S., Joglekar, N., Bucksch, T., Goswami, D., Müller-Gritschneder, D. (2025). Embedding Current Constraints in Reinforcement Learning for Electric Motor Control. In 2025 IEEE PES 35th Australasian Universities Power Engineering Conference (AUPEC). IEEE PES 35th Australasian Universities Power Engineering Conference (AUPEC 2025), Brisbane, Australia. IEEE. Peer-reviewed.
DOI: 10.1109/AUPEC66173.2025.11219467

Recent Presentations

Kofnov, A., Kapla, D. B., Bartocci, E., Bura, E. (2025, December 17). Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs [Conference Presentation]. 2025 IMS International Conference on Statistics and Data Science (ICSDS), Sevilla, Spain.
HDL: 20.500.12708/225179
Ertl, M. A. (2025, September 14). What is a character? UTF-8, Unicode, and the Xchar wordset [Conference Presentation]. 41st EuroForth Conference, Hamburg, Germany.
DOI: 10.34726/11824 / Download: PDF
Müller-Gritschneder, D., Lieber, P. (2025, August 16). Combining TinyML Model-based Architecture Methods for Predictive Maintenance in Highly Regulated Environments [Presentation]. AI Solution Days 2025, Nürnberg, Germany.
HDL: 20.500.12708/219807
Müller-Gritschneder, D. (2025, June 25). Towards an Automated Toolchain and Fusion-based Instruction Identification for RISC-V Custom Extensions [Conference Presentation]. 2nd Austrian RISC-V Meetup, Graz, Austria.
HDL: 20.500.12708/220428
Müller-Gritschneder, D. (2025, May 30). Low Overhead Fault Tolerance for tinyML and Security Applications [Presentation]. 3rd Workshop on Intelligent Methods for Test and Reliability, Tallinn, Estonia. Invited.
HDL: 20.500.12708/219806
May, D., Tundo, A., Ilager, S., Brandic, I. (2025). Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective [Poster Presentation]. EuroSys 2025, Rotterdam, Netherlands (the).
HDL: 20.500.12708/225745
Farsang, M., Neubauer, S., Grosu, R. (2024, December 14). Liquid Resistance Liquid Capacitance Networks [Poster Presentation]. NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions (NeuroAI @ NeurIPS2024), Canada.
HDL: 20.500.12708/223289
Müller-Gritschneder, D. (2024, September 11). Rapid Prototyping Methods for custom-tailored, safe and secure RISC-V processors [Conference Presentation]. TRISTAN Technical Conference 2024, Graz, Austria.
HDL: 20.500.12708/206261
Mueller-Gritschneder, D., Geier, J. (2024, September). Open Source Simulators for Pre-Silicon Validation of Safety-critical RISC-V System-on-chip [Conference Presentation]. Open Source Summit 2024, Wien, Austria.
HDL: 20.500.12708/206489
Brandic, I. (2024). Challenges in the Design of Hybrid Classic-Quantum Systems [Keynote Presentation]. The 32nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2024), Dublin, Ireland.
HDL: 20.500.12708/210997 / Projects: HPQC, TRITON FWF, Themis FWF
Hunold, S. (2023, December 8). Unveiling the Complexities of Performance Analysis and Optimization in HPC Systems [Presentation]. Universität Münster, Münster, Germany.
HDL: 20.500.12708/190739
Brandic, I. (2023, November 17). Sustainable Computing [Presentation]. Can Machines Save The World?, Austria. Invited.
HDL: 20.500.12708/196106
Brandic, I. (2023, October 18). Benchmarking of Hybrid Computational Continuum [Keynote Presentation]. 35th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2023), Porto Alegre, Brazil. Invited.
HDL: 20.500.12708/196108
Brandic, I. (2023, October 11). Teil der Lösung oder Teil des Problems - Die ambivalente Rolle von Künstlicher Intelligenz in der Klimafrage [Keynote Presentation]. AI Policy forum Artificial Intelligence Mission Austria 2023, Austria. Invited.
HDL: 20.500.12708/196042
Brandic, I. (2023, October 5). ChatGPT Sustainability [Presentation]. EY Transformation Talks: KI im Spotlight - Talk 1, Austria. Invited.
HDL: 20.500.12708/196043
Brandic, I. (2023, September 15). Nachhaltige Nutzung der K.I. in der Mobilität [Keynote Presentation]. Austrian Traffic Telematics Cluster Annual Retreat (ATTC Klausur 2023), Austria. Invited.
HDL: 20.500.12708/196894
Scheuchenstuhl, D., Ulmer, S., Resch, F., Berducci, L., Grosu, R. (2023, May 29). Enhancing Robot Learning through Learned Human-Attention Feature Maps [Poster Presentation]. ICRA 2023 Workshop on effective Representations, Abstractions, and Priors for Robot Learning (Rap4Robots), London, United Kingdom of Great Britain and Northern Ireland (the).
DOI: 10.34726/4861 / Download: PDF / Project: NimbleAI
Brandic, I. (2023, May 10). Computational Sustainability [Keynote Presentation]. 9th International Conference on Computer Technology Applications (ICCTA 2023), Wien, Austria. Invited.
HDL: 20.500.12708/196896
Brandic, I. (2023, May 8). Towards Computational Sustainability: The Role of Edge Computing in the Post Moore Era [Keynote Presentation]. International B2B Software Days 2023 - the Future of Digital Business, Austria. Invited.
HDL: 20.500.12708/196895
Ertl, M. A. (2023, May). See-code und Codeerzeugung in Gforth 1.0 [Conference Presentation]. Forth-Tagung 2023, Germany.
DOI: 10.34726/5465 / Download: PDF

Recent Theses

Strasser, M. (2026). Efficient validation of UML sequence diagrams against UML state machines via Kronecker algebra [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.130801 / Download: PDF
Chakarov, T. (2026). Performance and scalability analysis of dask applications on large scale systems [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.131836 / Download: PDF
Leszczyk, J. (2026). Computational modeling of macaque locomotion: from motion capture to joint torque actuation [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.136100 / Download: PDF
Schnirzer, H. (2026). Extending a fast performance estimation approach for out-of-order processors [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.133299 / Download: PDF
Tremurici, N. (2026). Efficient integrity-tree-aware scheduling for memory controllers with encryption [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.133440 / Download: PDF
Felber, S. (2026). Complete Characterization of Stabilizing Consensus in Distributed Systems [Dissertation, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.141012 / Download: PDF
Hagn, M. (2026). LLM-driven translation of GPU code across parallel execution models [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.138663 / Download: PDF
Tepaev, A. (2026). Comparative evaluation of TLA+ and R-CHECK specifications [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.132821 / Download: PDF
Cerar, J. (2026). Enhancing the performance analysis of NCCL GPU collectives [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.136848 / Download: PDF
Mohamed, S. (2026). Higher language features for weak memory models [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.110725 / Download: PDF
Olusesi, V. E. (2026). Data-Driven Synthesis of Finite-State Machines for AI-Based Self-Adaptive IoT Edge Applications [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.130129 / Download: PDF
Haraszti, P. (2026). Advancing Karst Spring Time Series Forecasting: Transfer Learning through Temporal Fusion Transformers and xLSTM [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.137441 / Download: PDF
Blattner, D. (2026). Accelerating the Classic McEliece Post-quantum Cryptosystem using the RISC-V Vector Extension [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.135650 / Download: PDF
John, M. (2026). Exploring RISC-V Vector Extension for micro-ROS [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.144260 / Download: PDF
Wolpert-Veit, F. (2026). A more efficient set union operation on distributed memory machines [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.141712 / Download: PDF
Briem, L. F. (2025). Towards resource efficient code generation through dynamic early exits in LLMs [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.127160 / Download: PDF
Leitzinger, L. (2025). A multi objective discrete particle swarm optimization algorithm for mobile offloading [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.92761 / Download: PDF
Dallinger, H. (2025). Verfication of concurrent programs in weak memory models [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.110724 / Download: PDF
Fahringer, J. (2025). Decentralized epistemic-based communication protocols for volatile edge systems [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.128844 / Download: PDF
Fromherz, T. (2025). Optimization strategies for locating extrema in a 5G cellular transceiver model [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.122762 / Download: PDF

We shape the future.

The future of CE will be shaped by the increasing integration of artificial intelligence, physical processes, and computing infrastructures. By connecting advances from hardware to large-scale cyber-physical ecosystems, the goal is to push the limits across the whole computing stack. Our vision is to create computing technologies that are intelligent, trustworthy, sustainable, and deeply integrated into the physical systems that support modern life.

Public Lecture

Matthias Scheutz: AI and Cognitive Systems

2026-11-25
AI
Focus CE
Focus AI+DS

Join us on November 25 for Matthias Scheutz’s lecture “AI and Cognitive Systems” in our “AI in Science and Engineering” lecture series!

Public Lecture

Arnon Sturm: From Requirements to Domain Models

2026-11-23
Lecture
Guest Professor
Doctoral School
Focus CE

Join us on Nov 23, when Guest Professor Arnon Sturm will hold a lecture on how domain models can be systematically derived from software requirements.

Public Lecture

Guest Lecture: Effective Formal Verification

2026-11-16
Lecture
Guest Professor
Doctoral School
Focus CE

Join us on Nov 16, when Guest Professors Ferreira & Mendes will give a lecture on generating proofs and assessing specifications for formal verification!

Sustainability