Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.
Pablo Arbelaez received a PhD with honors in Applied Mathematics from the Universite Paris-Dauphine in 2005. He was a Research Scientist with the Computer Vision group at UC Berkeley from 2007 to 2014. He currently holds a faculty position at Universidad de los Andes in Colombia. His research interests are in computer vision, where he has worked on a number of problems, including perceptual grouping, object recognition and the analysis of biomedical images.
Mario Luca Bernardi received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.
Since 2003 I have worked as a researcher in the field of software engineering writing several papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering and reengineering, with particular interest on software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as reviewer of papers submitted to some of the main journals and magazines in the field of data mining, software engineering, software maintenance and program comprehension.
Currently I am an Assistant Professor at Giustino Fortunato University , holding the courses of "Computer Science" and "Software Systems and Services" for the Avionics Science and Technologies master degree.
Léon's primary research interest is machine learning. His contributions to this field address theory, algorithms and large scale applications. Léon's secondary research interest is data compression and coding. His best known contributions are his work on large scale learning and on the DjVu document compression technology. He is serving or has served on the boards of the Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine and Pattern Recognition Letters.
Vania Braga's research interests include understanding the signalling pathways required for epithelial specification and how these processes are subverted during diseases and tumour progression. She is Deputy-Head of the Molecular Medicine Section, and was appointed Campus Director for the Faculty of Medicine (2012-2015). Dr. Braga participates in a number of editorial boards, review panels and grant committees in Europe.
Dr. Chitra Dorai is an IBM Distinguished Engineer and a Master Inventor, with a sustained record of world renowned research and pioneering transformative innovations for clients in Banking, Financial Markets and Media & Entertainment over the last twenty three years. Chitra has co-authored 100+ peer reviewed technical papers in premier IEEE and ACM conferences and journals, edited a book and received 5 best paper awards at international conferences. She is also the inventor of 41 patents.
Pinar Duygulu has received her BSc, MSc and PhD degrees from Department of Computer Engineering at Middle East Technical University, Ankara, Turkey in 1996, 1998 and 2003 respectively. During her PhD, she was a visiting scholar at University of California at Berkeley under the supervision of Prof. David Forsyth. After being a post-doctoral researcher at Informadia Project at Carnegie Mellon University, she joined to Department of Computer Engineering at Bilkent University, Ankara, Turkey in 2004. During 2014 and 2015 she was at Carnegie Mellon University as a research associate. Currently, she is a faculty member at Department of Computer Engineering at Hacettepe University, Ankara, Turkey. She received BAGEP award in 2015, Fulbright scholarship in 2013, TUBITAK Career award in 2005, and the best paper in Cognitive Vision award at European Conference on Computer Vision in 2002. Her current research interests include computer vision and multimedia data mining, specifically object, face and action recognition in large image and video collections and analysis of historical documents.
Cornelia Fermüller’s research is in the areas of Computer Vision and Human Vision. She has studied multiple view geometry and statistics, and her work includes view-invariant texture descriptors, 3D motion and shape estimation, image segmentation, and computational explanations and predictions of optical illusions. Her recent work focuses on the integration of perception, action and high-level reasoning to develop cognitive robots that can understand and learn human manipulation actions.
Mário Figueiredo is a Professor of electrical and computer engineering at Instituto Superior Técnico, University of Lisbon, and group leader at Instituto de Telecomunicações. His research interests include image processing/analysis, machine learning, and optimization. A Fellow of the IEEE and the IAPR, he received the 2011 IEEE Signal Processing Society Best Paper Award, the 2014 IEEE W. R. G. Baker Award, and his name is included in the Thomson Reuters' Highly Cited Researchers list.
Charless C. Fowlkes in an Associate Professor in the Dept. of Computer Science at the University of California, Irvine. He received a BS with honors from Caltech in 2000 and a PhD in Computer Science from UC Berkeley in 2005. His research interests are in computer vision, in particular the integration of visual recognition and perceptual organization. He also works on biological image and shape analysis with applications to gene expression regulation in animal development.
Juergen Gall obtained a Ph.D. in computer science from the Saarland University and the Max Planck Institut für Informatik in 2009. He was a postdoctoral researcher at the Computer Vision Laboratory, ETH Zurich, from 2009 until 2012 and senior research scientist at the Max Planck Institute for Intelligent Systems in Tübingen from 2012 until 2013. Since 2013, he is professor at the University of Bonn and head of the Computer Vision Group.
Dr. Haralick has worked in the areas of remote sensing, image processing,
image texture analysis, machine learning, computer vision, computer vision performance analysis, mathematical morphology and artificial intelligence.
He developed the facet model for image analysis.
Professor Haralick is a Fellow of IEEE for his contributions in
computer vision and image processing and a Fellow of IAPR for his
contributions in pattern recognition, image processing, and for service