ELTE Institute of Industry‑Academia Innovation

The institute is conceived as an agent that facilitates the ELTE Faculty of Informatics’ research and excellence through university-industry collaboration in action. As such it is responsible for all industry cooperation of the Faculty of Informatics. It bundles the competences and resources of industry endowed departments (Data Science and Engineering - Deutsche Telekom/Magyar Telekom; Artificial Intelligence – Bosch), as well as departments focusing on project work, including Digital Innovation and Entrepreneurship .A typical result of research is an invention (among other result types). An invention that generates impact (e.g. market impact) is called an innovation. The systematic creation of innovations is the subject of innovation management and entrepreneurship. At the IAI we have an integrated approach of research, education, and innovation. We enrich the classic curriculum and research portfolio in computer science with an integrated approach to Digital Innovation while keeping and extending the technical excellence in core computer science. As a result, IAI, on one hand can open doors of opportunities for ELTE students by enriching their academic journey with practical experience with industry. On the other hand, for the collaborating industrial partners, among others IAI can provide access to newest insight from basic research, as well as sourcing of highly qualified project staff.

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Our mission

Our mission is to integrate the knowledge triangle of Research, Education, and Innovation in one Center of Excellence. We want to implement institutionalized University-Industry-Collaboration, positioning Digital Innovation as part of Computer Science. We aspire to become the most profiled institute of technology-driven Digital Innovation in Central Eastern Europe (CEE) with strong visibility in Western Europe, US, and China.

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Departments

  • Department of Artificial Intelligence (including the Neural Information Processing Group)
  • Department of Data Science and Engineering
  • Center of Digital Innovation and Cooperation
    • Co-Location Center
    • Method Factory (Methods & Tools)
  • Cooperation Center for IT Research and Education

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Innovation Process

What is innovation? What is the difference between invention and innovation?

  • A typical result of research is an invention (among other result types).
  • An invention that generates impact (e.g. market impact) is called an innovation.
  • The systematic creation of innovations is the subject of innovation management and entrepreneurship (I&E).
  • At the Insitute of Industry-Academia Innovation we have an integrated approach of research, education, and innovation. We enrich the classic curriculum and research portfolio in computer science with an integrated approach to Digital Innovation while keeping and extending the technical excellence in core computer science.

Studies
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MSc Courses

The IAI is the leading entity for the following three specializations

  • Computer Science MSc - Artificial Intelligence Specialization
  • Computer Science MSc - Data Science Specialization
  • Computer Science for Autonomous Systems MSc

MSc Courses

The IAI is the leading entity for the following three specializations

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Offered PhD topics

Our professors continuously offer cutting edge PhD topics and positions in the domains of the Institute's competences. If you are interested, please, contact us or visit the websites of our departments.

Offered PhD topics

Our professors continuously offer cutting edge PhD topics and positions in the domains of the Institute's competences. If you are interested, please, contact us or visit the websites of our departments.

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PhD Courses

In addition to our professors advising PhD students, our Institute offers a selection of advanced courses for in ELTE's Doctoral School of Informatics

PhD Courses

In addition to our professors advising PhD students, our Institute offers a selection of advanced courses for in ELTE's Doctoral School of Informatics

Services & Competences

Artificial Intelligence

  • Composite AI
  • Computational intelligence
  • Robotics
  • Distributed artificial intelligence
  • Applications
    • Pattern completion and information fusion
    • Knowledge distillation: compressing AI solutions for real time applications
    • Characterization of humans for diagnostics and therapy
    • Human-machine interaction, collaboration

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Co-Location Center

  • Operating physical co-working space (co-location center)
  • Project management incl. proposal management (to be built up)
  • Business Development
  • Innovation Management
  • Marketing/Communication
  • Legal cooperation framework
  • Innovation & Entrepreneurship: Research, and Education

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Method Factory (Methods and Tools)

  • Method Engineering
  • Design Science Research, Research Processes
  • Methods of AI Engineering & Machine Learning
  • Methods of Cloud-native Engineering & Information Systems Engineering
  • Methods of Digital Innovation Management
  • Industrial Domain Knowledge

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Cooperation Center for IT-Research and Education

  • Software Technology
  • Industrial Trainings (Security, Functional Languages)
  • Competence on Demand (leveraging know-how of the entire faculty case-by-case), e.g.

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Data Science and Engineering

  • Data-driven Machine Learning Approaches
  • Multi-modal Machine Learning Models
  • Natural Computing Techniques and Black-box optimization for Automated Machine Learning
  • Domain-specific Data Science Applications

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Projects
Completed projects
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Project 01

CodeChecker and CodeCompass

(Ericsson) open source static analyser for C++ used by Mozilla, Samsung, Huawei, Google

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Project 02

Deeply programmable networks and their applications

L4S: Low Latency, Low Loss and Scalable Throughput, P4 language for programming network devices (Ericsson)

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Project 03

5G Edge Computing

context awareness for migration, computation offloading (Ericsson)

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Project 05

AI in human-machine collaboration

e.g. Quantifying diagnosis of autism

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Project 06

SkinCare (Degetel)

an interactive deep learning system for differential diagnosis of malignant skin lesions

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Project 04

Advanced Driver Assistance Systems

Detection of distance and speed of unknown objects (Bosch)

Dedicated Team
Professional Individuals
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Research professor (full) Director of IAI Institute
Udo Bub
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Associate Professor Head of the Data Science and Engineering Department
Tomáš Horvath
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Associate Professor Deputy Director of IAI Institute
Máté Tejfel
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Associate professor - Head of the Artificial Intelligence Department
János Botzheim (AI)
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Associate professor - Deputy Institute Director for Innovation & AI
László Gulyás
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Senior Research Fellow - Head of NIPG
András Lőrincz (AI NIPG)
Location
Organization and Team

7th floor of the North Building of ELTE Lágymányos

Campus (1300 sqm) and the EIT CLC building (1000 sqm)

7th floor of the North Building of ELTE Lágymányos