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Lecture on “Where Technologist and Entrepreneur Meet
     To Stimulate Academic Spin-offs” by Prof. Russell Hsing


     On December 15, 2020 at 15:15, prof. Russell Hsing from the USA gave a lecture for our stu-
     dents and staff on "Where Technologist and Entrepreneur Meet To Stimulate Academic Spin
     -offs". Prof. Hsing was the Executive Director of Applied Research at Bellcore / Telcordia / Er-
     icsson  (now  retired),  Honorary  Chair  Professor  at  National  Chiao  Tung  University  in  Taiwan,
     Member of Advisory Council of Harvard Business Review USA, Visiting Professor at IIT Kanpur, India,
     University  Beijing,  China,  and  Arizona  State  University  in  the  US.  He  is  also  a  board  member  and  advisor  to  the
     boards of start-ups and academic companies in the USA, Taiwan, Poland and Ireland.

     During the lecture, prof. Hsing presented his over 35 years of industrial research and development experience in the
     US and 8 years in academia around the world. Using his global experience and involvement in several start-ups, he
     presented how to combine competences in the field of technology and management, how to use creativity, innova-
     tion and business to achieve success. He discussed the "Curiosity> Opportunity> Business Model> Risk> Manage-
     ment> Technology Commercialization> Money" process of successfull business.















      14TH EAI International Conference on Cognitive
      Radio Oriented Wireless Networks
      Poznań, June 11-12, 2019
      http://crowncom2019.eai-conferences.org



      The aim of CROWNCOM 2019 is to bring together researchers from academia, industry, standards, and policy to pre-
      sent their new solutions of how cognitive radio systems will help deliver the required stringent requirements of fu-
      ture 5G and beyond 5G networks. Following the success of past editions, the main scope of this event was on new
      application domains for the cognitive-based solutions in the context of 5G and beyond. In particular, the conference
      focus was on science and industry drivers, such as machine learning and big data analysis in future wireless networks.
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