Goran Pavić holds BSc in Mechanical Engineering and PhD in Acoustics and Vibration. After having spent 24 years in research in shipbuilding, electrotechnical and mechanical industries, he was elected to professorship at the National Institute of Applied Sciences in Lyon, France. He is the former associate editor of Acta Acustica and current associate editor of Technical Acoustics and also former director of International Institute of Acoustics and Vibration. He is one of the member of two ISO standardisation committees. The present research activities of G. Pavić are in the areas of vibroacoustics of mechanical systems, virtual noise synthesis and energy related techniques of sound and vibration analysis. G. Pavić has participated in 9 international projects concerning noise and vibration, out of which in 4 as the coordinator, in several tens of industry funded projects as well as in the European Doctorate in Sound and Vibration programme.
Anuj Sharma is working for Department of Computer Science and Applications, Panjab University, Chandigarh, India. His research interests include Pattern Recognition and Machine Learning in the areas of handwriting recognition, SVMs, classification and online learning algorithms. He has post-Doc from RWTH Aachen, Germany and PhD in Computer Science from Thapar Institute of Engineering and Technology, Patiala, India. He also an active researchers in AI fields with many articles have been published in the recent years.
Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Technical University of Koszalin, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.
Tetsuya Ogata is a Professor (full) at Department of Intermedia Art and Science, Waseda University. His research interest include machine learning, neuroscience robotics, computer vision and human robot interaction. He has PhD in Mechanical Engineering from Waseda University in 2000. Prof Ogata is currently joint appointed fellow at Artificial Intelligence Research Center, AIST, Japan since 2017. He is the author for “Speech and Language in Humanoid Robots” in 2017 and “What should be computed to Understand and Model Brain Function?” in 2001. He also has publish around 400 research articles in machine learning, robotics and also deep learning. Prof Ogata have been involved in many activities in AI and robotics and recently he is one of the Member of Domestic Committee of Advanced Robotics, Action editor of Neural Network Editorial Board and General Chair of IEEE International Conference on Development and Learning 2018. He also involved in many AI and robotics talk, tutorial and workshop and recently will attend as invited speaker for 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) in October 2018, tutorial speaker for 28th Annual Conference of the Japanese Neural Network Society (JNNs 2018) also in October and workshop speaker for the upcoming EAAIC 2018 in December 2018.
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