Twinning Day

prowadzący2On 23rd of March 2014 we organized the first edition of the Twinning Day. The main purpose of the meeting was to present the potential of the Wroclaw University of Technology research teams to wide range of potential business partners and initialization further contacts that could lead to establishing closer cooperation, including launching research and development projects. The meeting was attended by 25 guests representing 23 companies. Name list of participants is attached to this report.

The meeting agenda was the following:

  1. Guests welcome (Marek Żuk, SMB Knowledge Transfer Manager – ENGINE Project)
  2. Presentation of ENGINE project objectives, potential of Wroclaw University of Technology, possible form of cooperation between the University and commercial partners, prospective sources of financing. Presentation of research teams, in particular their experiences, research interests, realized projects, teams members, and current cooperation offer. (prof. Przemysław Kazienko)
  3. Short presentation of how do universities cooperate with business in Spain (prof. Ricardo Colomo-Palacios)
  4. Discussion panel moderated by Grzegorz Steinmetz (BCC – Lower Silesia – Knowledge Transfer Coordinator); anelists:
    1. Prof. Przemysaw Kazienko – what do science may offer a business
    2. Łukasz Neumanmember of the International Advisory Board of ENGINE project , former IT Director at KRUK S.A.) – Does business need innovations
    3. Dr. Tomasz Kajdanowicz (Engine project) – How do universities cooperate with business , international examples after Top 500 Innovators visit at Stanford University, USA.
    4. Dr. Anita Zbieg (Director – Mapa Organizacji) – Innovation transfer sample.
    5. Marek Żuk (SMB Knowledge Transfer Manager – ENGINE Project, former Managing Director of QAD Polska) – Funds for innovations.
  5. Session of bilateral discussion during which guests had an opportunity to have a closer insight into offer and competences of particular research teams, present their problems and discuss possible ways of their solution. The teams represented to faculties:
    1. Faculty of Computer Science and Management: Artificial Intelligence Group (prof. Halina Kwaśnicka), Data Analysis and Social Networks Group (prof. Przemysław Kazienko), and Human-Computer Interaction Group (prof. Janusz Sobecki);
    2. Faculty of Electronics: Machine Learning Group (prof. Michał Woźniak), and Computer Network Group (prof. Krzysztof Walkowiak).