Stevo Bozinovski

Professor at South Carolina State University
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Contact Information
us****@****om
(386) 825-5501
Location
Orangeburg, South Carolina, United States, US
Languages
  • English Full professional proficiency
  • German Limited working proficiency
  • Macedonian Native or bilingual proficiency
  • Serbian, Croatian Full professional proficiency

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Bio

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Experience

    • United States
    • Education Administration Programs
    • 400 - 500 Employee
    • Professor
      • Jul 2001 - Present

      Teaching courses, among them 1) Artificial Intelligence 2) Robotics 3) Biocomputing and Bioinformatics, 4) Neuroinformatics and Brain-Computer Interface Doing research, examples of funded projects: 1) Neuroscisence and Brain Computer Interface, NSF, 2005-2009 and 2) Biorobotics and Biofabrication, NSF, 2009-2011 Organizing a research center, Center for Biocybetrnetics and Robotics with two cooperative labs: 1) Laboratory for Artificial Intelligence, Robotics, and Biocybernetics and 2) Laboratory for Medical Science and Neurophysiology Show less

    • Professor
      • 1976 - 2003

      Doing pioneering steps for engineering and computer science in Macedonia. The following pioneering steps for Electrical Engineering department were done: first electronic devices sold to external customers 1976, first patent filed 1978, first parallel programming done 1983, first robot built 1983, first funded project obtained 1984, first paper published in world class journal 1985. The pioneering works done in Macedonia which are pioneering results worldwide are: relating robotics and genetic engineering 1985, proposing DNA is a database 1987, first control of a robot using spoken commands 1986, first control of a physical object, a robot, using energy emanating from human brain via EEG signals 1988, first control of a robot using signals from eyes movement 1989. Show less

    • Research Fellow
      • 1999 - 2000

      Two summers. In 1999 Working inside Behavior Engineering Group, RoboCup Team, designing training algorithm for Goalkeeper robot. In 2000 proposing that DNA is the cell Operating System of the cell. Introduced systems software metaphor for understanding DNA. Two summers. In 1999 Working inside Behavior Engineering Group, RoboCup Team, designing training algorithm for Goalkeeper robot. In 2000 proposing that DNA is the cell Operating System of the cell. Introduced systems software metaphor for understanding DNA.

    • Fulbright Fellow, Research Associate
      • 1995 - 1996

      Working as Fulbright Fellow, supervisor Dr Andrew Barto, Learn about work of Watkins Q-learning. realizing that it is actually extended version of the previous my work, the CAA crossbar learning. Writing a book about that named "Consequence Driven Systems" Working as Fulbright Fellow, supervisor Dr Andrew Barto, Learn about work of Watkins Q-learning. realizing that it is actually extended version of the previous my work, the CAA crossbar learning. Writing a book about that named "Consequence Driven Systems"

  • Ricoh Hatano Plant
    • Hon Atsugi , Japan
    • JICA Fellow
      • 1984 - 1984

      Educational program. Most Important event: During this work, at Akihabara Market in Tokyo, a state of the art mobile robot, Movit Line Tracer produced by Elehobby, was purchased. That was the robot that 1988 was the first one controlled by EEG signals. Educational program. Most Important event: During this work, at Akihabara Market in Tokyo, a state of the art mobile robot, Movit Line Tracer produced by Elehobby, was purchased. That was the robot that 1988 was the first one controlled by EEG signals.

    • Graduate Research Assistant
      • Jul 1981 - Dec 1981

      Research Assistant to Professor Nico Spinelli. Member of Adaptive Networks (ANW) group. Solved delayed reinforcement learning problem in reinforcement learning. Research Assistant to Professor Nico Spinelli. Member of Adaptive Networks (ANW) group. Solved delayed reinforcement learning problem in reinforcement learning.

    • Fulbright Fellow
      • 1980 - 1981

      Solving delayed reinforcement learning problem using neural network Problem stated inside Adaptive Network (ANW) Group, with two challenging instances: 1) learning path in a maze proposed by Rich Sutton and 2) learning to balance an inverted pendulum proposed by Charles Anderson. The neural network I designed, named Crossbar Adaptive Array which solved both instances before the other network used inside the Group, named Actor/Critic architecture, proposed by Rich Sutton, did. Solving delayed reinforcement learning problem using neural network Problem stated inside Adaptive Network (ANW) Group, with two challenging instances: 1) learning path in a maze proposed by Rich Sutton and 2) learning to balance an inverted pendulum proposed by Charles Anderson. The neural network I designed, named Crossbar Adaptive Array which solved both instances before the other network used inside the Group, named Actor/Critic architecture, proposed by Rich Sutton, did.

    • IBM Werkstudent
      • 1970 - 1973

      Work during Summers and Winter. Programming and applications.Migration of applications between systems. Support of sales. Support of IBM customers. Work during Summers and Winter. Programming and applications.Migration of applications between systems. Support of sales. Support of IBM customers.

Education

  • Electrical Engineering Department, University of Zagreb
    PhD in Computer Science, Neural Networks, Pattern Classification, Teaching and Learning
    1979 - 1982
  • Electrical Engineering Department, University of Zagreb
    Master of Science (MS) in Electronics, Building neural nets using digital integrated circuits
    1973 - 1974
  • Electrical Engineering Department, University of Zagreb
    Bachelor of Science (BSc), Electronic Models of Neurons

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