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Department of Electrical and Computer EngineeringDepartment of Electrical and Computer Engineering
  • Home
    • Summary
    • Academic Organization
    • Administration
    • Secretariat
    • Facilities
    • Quality Policy & Goals
    • Ιndustrial Advisory Board
    • The University
    • Logo
  • Studies
    • Undergraduate Studies
      • Curriculum
      • Study Guide
      • Integrated Master
      • Courses
      • Diploma thesis
      • Internship
      • Studies Counselor
      • Gender Equality Consultant
      • Disability Advisor
    • Postgraduate Studies
    • Doctoral Studies
    • Academies
    • Career Day
    • Training Courses
    • Summer School
    • Erasmus Plus
    • Recognition and reward of Excellence
    • Student Complaints Management Service
  • Research
    • Research Laboratories
    • Recent Research Projects
    • IEEE Student Branch
    • Researcher Engineer’s Day
    • Postdoctoral Research
  • Personnel
    • Faculty Members
    • Specialized Technical Laboratory Staff
    • Adjunct teaching staff
    • Secretariat
    • Professors Emeriti
  • Video
  • Contact
  • wiki
  • English
  • Ελληνικά

DISyD Lab

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Distributed Intelligent Systems and Data Lab (DISyD Lab)

Greek Government Gazette: 4894 τ. Β’ / 6.11.2020

Director: Vasilis Tampakas, Professor

Web site: http://disyd-lab.ece.uop.gr

The Laboratory of Distributed Intelligent Systems and Data (Distributed Intelligent Systems and Data – DISyD Lab) of the Department of Electrical and Computer Engineering of the University of Peloponnese, established by law in 2020,  serves  on one hand the needs of education and training of  undergraduates, graduates and professionals and the other hand, is active in R&D projects and service at regional, national and international level.

Decide lab serves the following research disciplines:

  • Distributed/Parallel Systems and Distributed/Parallel Computing.
  • Distributed Databases and Structured and Unstructured Information Management Systems.
  • Distributed decision support and resource management environments.
  • Business Intelligence, knowledge mining, machine learning methods, knowledge mining from distributed data, business process/workflow management.
  • Large scale data management, analytics
  • Pervasive Computing: standard methods, standard models, systems.
  • Artificial Intelligence: standard methods, standard models, algorithms, systems.
  • Computational Intelligence: algorithms, machine learning systems.

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Contact

  • secretary.ece [AT] uop.gr
  • 2610 - 369 236
  • 2610 - 369 237
  • 2610 - 369 193
  • 2610 - 369 263

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