kEYNOTE&Plenary sPEAKERS

 

Brief introduction & topic of speech

 

Prof. Wolfgang Osten,
University of Stuttgart, Germany

About Prof. Wolfgang Osten: he received the MSc/Diploma in Physics from the Friedrich-Schiller-University Jena in 1979. From 1979 to 1984 he was a member of the Institute of Mechanics in Berlin working in the field of experimental stress analysis and optical metrology. In 1983 he received the PhD degree from the Martin-Luther-University Halle-Wittenberg for his thesis in the field of holographic interferometry. From 1984 to 1991 he was employed at the Central Institute of Cybernetics and Information Processes ZKI in Berlin making investigations in digital image processing and computer vision. Between 1988 and 1991 he was heading the Institute for Digital Image Processing at the ZKI. In 1991 he joined the Bremen Institute of Applied Beam Technology (BIAS) to establish and to direct the Department Optical 3D-Metrology till 2002. Since September 2002 he has been a full professor at the University of Stuttgart and director of the Institute for Applied Optics. From 2006 till 2010 he was the vice rector for research and technology transfer of the Stuttgart University where he is currently the vice chair of the university council. His research work is focused on new concepts for industrial inspection and metrology by combining modern principles of optical metrology, sensor technology and image processing. Special attention is directed to the development of resolution enhanced technologies for the investigation of micro and nano structures.

Prof. Antanas Verikas,
Halmstad University, Sweden

About Prof. Antanas Verikas: He was awarded a PhD degree in pattern recognition from Kaunas University of Technology, Lithuania. Currently he is holding a professor position at both Halmstad University Sweden, where he leads the Department of Intelligent Systems & Digital Design, and Kaunas University of Technology, Lithuania. His research interests include learning systems, deep learning, classification, pattern recognition, image processing, computer vision, fuzzy logic, and visual media technology. He published more than 200 peer reviewed articles in international journals and conference proceedings and served as Program committee member in numerous international conferences. He is a member of the Swedish Artificial Intelligence Society, the International Pattern Recognition Society, European Neural Network Society, International Association of Science and Technology for Development, and a member of the IEEE.

 

Prof. Dr. Petra Perner (IAPR Fellow)
Institute of Computer Vision and Applied Computer Sciences, Leipzig,Germany

Petra Perner is the founder and director of the Institute of Computer Vision and Applied Computer Sciences in Leipzig, Germany. Under her leadership the institute developed to one of the leading institutes in basic and applied research in computer vision, data mining, machine learning, case-based reasoning and image databases.
She received a diploma degree in electrical engineering in 1981 and a PhD degree in computer science in 1985. In 1989 she finished her habilitation entitled “A Methodology for the Development of Knowledge-Based Image-Interpretation Systems”.
Under her guidance highly qualified national and international personnel got trained in the above mentioned high-technology fields through research projects and education programs. The tutorial on Data Mining (www.data-mining-tutorial.de) is a recognized tutorial among the domain experts and is especially designed for training industrial people on hot topics in data mining. She gave courses on Data Mining and Image Interpretation at different universities in various countries.
She has been the project leader and principal investigator of various national and international research projects for which she received several research awards. Her projects are marked by the fact that they tie together high-class research with the aspect of the economic application.
She is frequently invited as a guest professor for knowledge-based image inspection systems by several national and international institutes and companies.
She supervised the foundation of two high-technology companies named ibai-solutions (www.ibai-solutions.de) and ImageInterpret GmbH (www.imageinterpret.de) whose teams received 4 distinct business prices for transferring image-interpretation and data-mining methods to industry.
She was the principal founder and chairwoman of the Technical Committee “Machine Learning and Data Mining”. She is the chairwoman of three distinct conferences in Machine Learning, Data Mining and High-Content Analysis of Signals and Images called MLDM (www.mldm.de), ICDM (www.data-mining.forum.de) and MDA (www.mda-signals.de).
Presently she is working on various medical, chemical and biomedical applications, information management applications, technical diagnosis and e-commerce applications. Most of the developments are protected by legal patent rights and can be licenced to qualified industries.
She has published numerous scientific publications and patents and is frequently requested as pleanary speaker in distinct research fields as well as across disciplinces.
Her vision is to build intelligent flexible and robust data-interpreting systems that are inspired by the human case-based reasoning process.

Title: Learning of Shape Models from Exemplars of Biological Objects in Images, Conceptual Clustering and Case Generalization of two-dimensional Forms

Abstract: Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they must be learnt from examples. Real world applications such as the recognition of biological objects in images cannot be solved by one general model but a lot of different models are necessary in order to handle the natural variations of the appearance of the objects of a certain class. Therefore we are talking about case-based object recognition. In this paper we describe how the shape of an object can be extracted from images and input into a case shape description. We describe how we can determine the pair-wise similarity between two objects based on the Procrustes similarity. These acquired number of cases we mine for more general shapes by conceptual clustering so that we end up with shapes at different granularity level. At the end a case base of shapes can be constructed and applied for case-based object recognition.

Prof. Dmitry Nikolaev
Institute for Information Transmission Problems, RAS (IITP RAS), Russia
Head of Vision Systems lab in IITP RAS

About Prof. Dmitry Nikolaev: he was born in Moscow, Russia. He obtained his Master degree (in physics) in 2000 and Ph.D. degree (in computational methods of image processing) in 2004 from Moscow State University. Since 2007 he is a head of the Vision Systems Lab. at the Institute for Information Transmission Problems, RAS. His research activities are in the areas of computer vision with primary application to color image understanding. Since 2005 he gives a course “Image processing” in the Moscow Institute of Physics and Technology, take up an appointment of Assoc. Prof in 2008. At 2015 he has more than 120 publications.

Prof. Petia Radeva
University of Barcelona, Spain

About Prof. Petia Radeva: she completed her undergraduate study on Applied Mathematics at the University of Sofia, Bulgaria, in 1989. In 1996, she received a Ph.D. degree in Computer Vision at UAB. In 2007, she moved as Tenured Associate professor at the Universitat de Barcelona (UB), Department of Mathematics and Informatics, where from 2009 to 2013 she was Director of Computer Science Undergraduate Studies. Petia Radeva is Head of the Consolidated Group Computer Vision at the University of Barcelona (CVUB) at UB (www.ub.edu/cvub) and Head of the Medical Imaging Laboratory of Computer Vision Center (www.cvc.uab.es). Petia Radeva’s research interests are on Development of learning-based approaches (specially, deep learning) for computer vision, and their application to health. Currently, she is involved on projects that study the application of wearable cameras and life-logging, to extract visual diary of individuals to be used for memory reinforcement of patients with mental diseases (e.g. Mild cognitive impairment). Moreover, she is exploring how to extract semantically meaningful events that characterize lifestyle and healthy habits of people from egocentric data. She is associate editor of Pattern Recognition journal and International Journal of Visual Communication and Image Representation. She obtained the ICREA award from the Catalonian Government for her scientific merits in 2014, the international award “Aurora Pons Porrata” from CIARP in 2016 and the Prize “Antonio Caparrós” for the best technology transfer project of 2013.

Prof. Alexander Bernstein,
Skolkovo Institute of Science and Technology, Moscow, Russia Federation

Professor Alexander Bernstein is a Principal Research Scientist in Skolkovo Institute of Science and Technology (Skoltech), Center for Computational and Data-Intensive Science and Engineering. Prof. Bernstein started his career at the Research Institute of Automatic Equipment in 1969, where he was developing mathematical models and algorithms for computer networks. At the same time, he was engaged in mathematical statistics. For research in this field, he received the Candidate of Sciences Degree in Math from Steklov Mathematical Institute of USSR Academy of Sciences in 1973 and the Doctor of Sciences degree in Math in 1987 from the Department of Computational Mathematics and Cybernetics of Moscow State University In the year of 1991, the Higher Attestation Commission awarded Alexander with the academic rank of Professor in the field of Intelligent Technologies and Systems. In 2002, Alexander joined the Software Engineering Center of the Russian Academy of Sciences to lead the projects in developing data analysis and applied mathematics software. Prior to joining Skoltech, Alexander held the positions of Chief Researcher at the Institute for System Analysis RAS and Lead Scientist in the Data Analysis Research Lab at the Institute for Information Transmission Problems RAS. At the same time, he had part-time full professor positions at National Research University Higher School of Economics and Moscow Institute of Physics and technology.

Prof. Johan Debayle
Ecole Nationale Supérieure des Mines, Saint-Etienne, France

About Prof. Johan Debayle: he received his M.Sc., Ph.D. and Habilitation degrees in the field of image processing and analysis, in 2002, 2005 and 2012 respectively. Currently, he is a Full Professor at the Ecole Nationale Supérieure des Mines de Saint-Etienne (ENSM-SE) in France, within the SPIN Center and the LGF Laboratory, UMR CNRS 5307, where he leads the PMDM Department interested in image analysis of granular media. In 2015, he was a Visiting Researcher for 3 months at the ITWM Fraunhofer / University of Kaisersleutern in Germany. In 2017, he was invited as Guest Lecturer at the University Gadjah Mada, Yogyakarta, Indonesia. He was also Invited Professor at the University of Puebla in Mexico in 2018. He is the Head of the Master of Science in Mathematical Imaging and Spatial Pattern Analysis (MISPA) at the ENSM-SE.
His research interests include image processing and analysis, pattern recognition and stochastic geometry. He published more than 100 international papers in international journals and conference proceedings and served as Program committee member in several international conferences (IEEE ICIP, MICCAI, ICIAR...). He is Associate Editor for 3 international journals: Pattern Analysis and Applications (Springer), Journal of Electronic Imaging (SPIE) and Image Analysis and Stereology (ISSIA).
He is a member of the the International Association for Pattern Recognition (IAPR), International Society for Stereology and Image Analysis (ISSIA) and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is also Officer (Membership Development) of the IEEE France Section.

Prof. Dorra Sellami
Sfax University, Tunisia

Doctor Dorra Sellami was born in 1969 in Sfax-Tunisia. She obtained her electrical engineering diploma from Sfax University, National Engineering of Sfax in 1994, and got awarded the price of the president of Tunisia. At 1995, she received the DEA in electronics and signal processing from university Bordeaux I at IMS Laboratory. She received her PhD at 1998 from the same university Bordeaux 1. From 2006 and until currently, she is Professor at Sfax University, National Engineering School. Her researches include image and signal analysis, characterization, selection and interpretation. Her interests include medical imaging, biometry identification, hidden biometry, neural networks and neurofuzzy based modeling of image processing, deep learning, ontology based decision making and possibility theory for information modeling. She is responsible of the research group CIELS (Computer, Imaging and ELectronic Systems) at the CEM Lab (Computer and Energy management). Teaching courses: image processing, advanced signal processing, pattern recognition, medical imaging, .. She presides many recruitment commissions in the High research and teaching ministry of Tunisia. She is author and co-author of hundreds of papers. She supervised about twenty PhD students. She was general chairs of many IEEE conferences in her domain, held in Tunisia.


 

 

 

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