News

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Conference

#README: 27th RoboRacer Autonomous Racing Competition

• 2026-06-11
• Event

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

Event

Announcement Talk by Prof. Daniel Große

• 2026-05-22
• RISC-V
• Research

Talk by Prof. Daniel Große of Johannes Kepler University Linz on "From Vectors to CHERI: RISC-V Virtual Prototypes for Verification and System-Level Exploration."

About

We at the Institute of Computer Engineering deal with all aspects of the direct interaction between computer systems and their environment. Designing such systems is our scientific and technological challenge.

Our scope includes the lowest level of circuit and hardware architectures as well as safety-critical cyber-physical systems such as industrial automation and smart grids in, amongst others, the healthcare, spacecraft, and automotive industries.

Our corresponding research activities focus on but are not limited to an integrative view of a multitude of system aspects, including hardware architectures, continuous/discrete systems, parallelism and communication, dependability, real-time processing, low-power design, energy and resource efficiency, decision and control theory, autonomy complemented by other disciplines (e.g. continuous mathematics, system theory, and electrical engineering).

Current research topics address digital circuits and hardware architectures, parallel and distributed, dependable, real-time systems, hybrid systems and optimal control, quantitative and runtime verification, computational modeling and simulation, autonomous systems, robotics and automation systems integration, and cyber-physical social systems and the Internet of Things.

Professors

Ezio Bartocci E. Bartocci

Curriculum Commission for Computer Engineering
Univ.Prof.

Johann Blieberger J. Blieberger

Head of Research Unit
Ao.Univ.Prof. DI Dr.

Ivona Brandic I. Brandic

Head of Research Unit
Univ.Prof.in Mag.a Dr.in

Tobias Fiebig T. Fiebig

Head of Research Unit
Univ.Prof. Dr. / MSc

Radu Grosu R. Grosu

Head of Research Unit
Univ.Prof. DI Dr. Dr.h.c.mult.

Sascha Hunold S. Hunold

Curriculum Coordinator
Assoc.Prof. Dr.

Wolfgang Kastner W. Kastner

Full Professor, on leave
Univ.Prof. DI Dr.

Daniel Müller-Gritschneder D. Müller-Gritschneder

Head of Research Unit
Univ.Prof. Dr. DI

Peter Puschner P. Puschner

Faculty Representative
Ao.Univ.Prof. DI Dr.

Andreas Steininger A. Steininger

Doctoral School
Ao.Univ.Prof. DI Dr.

Jesper Larsson Träff J. Träff

Head of Research Unit
Univ.Prof. Dr. / MSc PhD

 

Retired Professors

Hermann Kopetz H. Kopetz

Emerit. Professor
Em.O.Univ.Prof. Dr. Dr.h.c.

Ulrich Schmid U. Schmid

Retired Professor
Univ.Prof.i.R. DI Dr.

 

Research Units

The Institute of Computer Engineering consists of six specialized research units. Visit their pages to learn about projects, publications, courses, and the people involved.

• Cyber-Physical Systems
  E191-01 / Head: Radu Grosu
• Embedded Computing Systems
  E191-02 / Head: Daniel Müller-Gritschneder
• Automation Systems
  E191-03 / Head: Johann Blieberger
• Parallel Computing
  E191-04 / Head: Jesper Larsson Träff
• Computational Sustainability
  E191-05 / Head: Ivona Brandic
• Internet lnfrastructures
  E191-06 / Head: Tobias Fiebig

Here is a small selection of our recent projects, publications, and awards. To see the full list of each research unit’s activity, please visit the websites above.

Our Research Topics

Main topics covered by CE institute:

• Trustworthy Cyber-Physical Systems/Embedded Systems (Safety, Security, Real-Time)
• Edge AI and Domain-Specific Architectures (e.g., RISC-V)
• Sustainable and Energy-Aware Computing
• Parallel and Distributed Systems
• Machine Learning and Artificial Intelligence
• Formal Methods and Verification
• High-Performance and Quantum-Inspired Computing
• Fault-Tolerant and Asynchronous Circuits
• Industrial Automation, IoT, and Smart Infrastructure
• Intelligent Autonomy and Multi-Agent Systems
• Software Engineering for AI/ML and Safety-Critical Systems
• Cloud and Edge Computing
• Sustainable Computing
• Hybrid Classical-Quantum Systems
• Energy Efficiency
• Symbolic and Machine Learning on the Edge

The Cyber-Physical Systems (CPS) Research Unit (191-01), which includes Prof. Ezio Bartocci, Prof. Radu Grosu, and Prof. Peter Puschner, is internationally recognized for its cutting-edge, interdisciplinary contributions to cyber-physical systems, artificial intelligence, formal verification, time-predictable computing, and intelligent autonomy.

The Embedded Computing Systems (ECS) Research Unit (191-02), which includes Prof. Ulrich Schmid, Prof. Daniel Müller-Gritschneder, and Prof. Andreas Steininger is focusing on distributed systems, agile development of Edge AI and domain-specific architectures based on RISC-V as well as asynchronous circuits.

The Automation Systems (AUTO) Research Unit (191-03), which includes Prof. Wolfgang Kastner and Prof. Johann Blieberger, specializes in intelligent industrial systems, including distributed automation, control networks, safety and security in smart infrastructure.

The Parallel Computing (PAR) Research Unit (191-04), which includes Prof. Sascha Hunold and Prof. Jesper Larsson Träff, advances the state of the art in high-performance computing, parallel algorithms, reproducible benchmarking, task scheduling, and programming models such as MPI for shared and distributed memory systems.

The Computational Sustainability (CompSust) Research Unit (191-05), led by Prof. Ivona Brandić, focuses on sustainable and energy-efficient computing paradigms. The unit pioneers research in cloud and edge computing, hybrid classical-quantum systems, and develops innovative approaches for symbolic and machine learning at the edge while addressing critical challenges in computational sustainability and energy efficiency.

Our Mission

At the Institute of Computer Engineering, we are dedicated to advancing the field of computing by integrating cutting-edge research, high-quality education, and impactful industry collaboration. Our mission is to shape the future of computer engineering by fostering innovation, sustainability, and societal impact through the following core commitments:

Conducting Internationally Competitive Research

We push the boundaries of computer engineering by conducting world-class research that addresses contemporary and future challenges. Our work spans from low-power embedded systems and cyber-physical systems to fault-tolerant architectures, bio-inspired computing, and quantum-classical integration. By embracing an interdisciplinary approach, we ensure our research remains at the forefront of technological advancement, contributing to the global scientific community.

Educating the Next Generation of Academics and Engineers

We cultivate a rigorous, research-driven learning environment that empowers students to become leaders, innovators, and problem-solvers in computer engineering. Through hands-on experience in emerging fields such as RISC-V, AI-driven systems, and energy-aware computing, we equip our graduates with the knowledge and skills to tackle complex engineering challenges while upholding the highest ethical and professional standards.

Translating Research Breakthroughs into Practical Applications

We bridge the gap between theoretical advancements and real-world impact by transforming cutting-edge research into scalable, efficient, and secure computing solutions. Our work directly contributes to autonomous systems, smart infrastructure, industrial automation, healthcare technology, and energy-efficient computing, ensuring that innovation translates into tangible benefits for society.

Offering Expert Scientific Consulting to Industry Partners

By collaborating with industry leaders, we drive technological progress through knowledge transfer, joint research projects, and strategic consulting. Our expertise in hardware-software co-design, security, and fault tolerance helps industry partners develop next-generation computing architectures, optimize embedded systems, and enhance cybersecurity measures. We actively contribute to industrial innovation and economic growth by fostering strong academic-industry partnerships. Engaging with Society through Public Communication and Outreach We recognize our responsibility to demystify technology and inform public discourse on computing-related advancements. Through public lectures, outreach programs, and science communication initiatives, we engage with a broad audience—ensuring that our research findings and technological insights contribute to an informed and technologically literate society.

By integrating these five pillars, we uphold the excellence and global reputation of TU Wien, ensuring that our research and educational contributions empower society, drive sustainable technological progress, and shape the future of intelligent and resilient computing.