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Our Expertise

We foster innovation both through basic research projects as well as industry partnerships. These different perspectives open up great possibilities for a wide range of research collaborations.

Thomas Schmid Assistant Professor (Lecturer) in Computer Science

The Leipzig School of Computing and Communications (LZSCC) includes a varied group of researchers.

Research results of our team can take on many different forms, ranging from theoretical breakthroughs to proof-of-concept implementations of novel algorithmic apporaches to exciting industry-driven real-world applications.

Our academic output is not only reflected by research-driven teaching, but also frequently published in highly-regarded scholarly journals and internationally recognized research conferences. Currently, members of LZSCC conduct resarch on key topics:

 

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Artificial intelligence and machine learning

Artificial intelligence and machine learning research aims to create smart computer systems that can mimic human-like thinking. The goal is to develop algorithms that learn from data, design neural networks inspired by the brain, and advance technologies for language processing, computer vision, and robotics. They also explore how these systems can make decisions autonomously and consider the ethical implications of increasingly intelligent machines in our society.

Human-computer interaction

Human-computer interaction research explores how people engage with technology, aiming to make digital systems more user-friendly and efficient. It involves studying user behavior, designing intuitive interfaces, and developing new interaction methods like voice commands or gesture controls. Researchers also investigate accessibility, user experience, and the psychological and social impacts of technology on individuals and society.

Formal methods

Formal methods research focuses on using mathematical techniques to design and verify computer systems and software. It aims to create error-free, reliable programs by applying rigorous logical reasoning. Researchers develop tools and languages to precisely specify system behavior, prove correctness, and detect flaws. This approach is crucial for critical systems where failures could have severe consequences, like in aerospace or medical devices.

Cyber security

Cyber security research focuses on protecting digital systems, networks, and data from unauthorized access and attacks. It involves developing techniques to identify vulnerabilities, create robust defenses, and respond to threats. Researchers study encryption methods, design secure software, analyze malware, and explore human factors in security. They also investigate emerging challenges like protecting IoT devices and countering sophisticated cyber-attacks that could impact critical infrastructure and personal privacy.

Software engineering

Software engineering research focuses on improving methods for designing, developing, and maintaining high-quality software systems. It explores efficient coding practices, project management techniques, and tools for testing and debugging. Researchers study ways to enhance software reliability, scalability, and security. They also investigate agile methodologies, user-centered design, and strategies for managing large-scale software projects in diverse domains, from mobile apps to complex industrial systems.

Interdisciplinary Computing

Interdisciplinary Computing research combines computer science with other fields to solve complex problems. It explores how computing can enhance areas like biology, physics, or social sciences. Researchers develop algorithms and tools to analyze vast datasets, model complex systems, and simulate scenarios across various disciplines. This field aims to leverage computational power and techniques to drive innovation and discoveries in diverse domains, from climate modeling to personalized medicine.

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