Hynek Hermansky, PhD

Keynote Lecture: Dealing with Noise in Speech Signal

Workshop: Information Extraction from Speech: Humans and Machines

Hynek Hermansky is the Julian S. Smith Professor of the Electrical Engineering and the Director of Centre for Language and Speech Processing at the Johns Hopkins University in Baltimore, Maryland, and a Research Professor at the Brno University of Technology, Czech Republic. His main research interests are in bio-inspired speech processing. He has been working in speech research for over 30 years, previously as a Director of Research at the IDIAP Research Institute, Martigny and a Titular Professor at the Swiss Federal Institute of Technology in Lausanne, Switzerland, a Professor and Director of the Center for Information Processing at OHSU Portland, Oregon, a Senior Member of Research Staff at U S WEST Advanced Technologies in Boulder, Colorado, a Research Engineer at Panasonic Technologies in Santa Barbara, California, a Research Fellow at the University of Tokyo, and an Assistant Professor at the Brno University of Technology, Czech Republic. He is a Fellow of IEEE, a Fellow of International Speech Communication, and an External Fellow of the International Computer Science Institute in Berkeley, California. He is also the holder of the 2013 International Speech Communication Association Medal for Scientific Achievement, is a Member of The Board of the International Speech Communication Association, and a Member of the Editorial Board of Speech Communication. He was the General Chair of the 2013 ICASSP Workshop on Automatic Speech Recognition and Understanding, a Member of the Organizing Committee at the 2011 ICASSP in Prague, Technical Chair at the 1998 ICASSP in Seattle and an Associate Editor for IEEE Transaction on Speech and Audio. He holds 10 US patents and authored or co-authored over 250 papers in reviewed journals and conference proceedings. Prof. Hermansky holds Dr.Eng. degree from the University of Tokyo, and Dipl. Ing. degree from Brno University of Technology, Czech Republic.

Luis Enrique Sucar Succar, PhD

Keynote Lecture: Object Search and Recognition with Mobile Robots

Workshop: Probabilistic Graphical Models and their Applications in Vision

Luis Enrique Sucar Succar is PhD in Computer Science from Imperial College London, UK; MSc in Electrical Engineering from Stanford University, CA, USA; and B. Eng in Electronics and Communications from ITESM, Monterrey, Mexico. Dr Sucar has been researcher and professor at Instituto de Investigaciones Eléctricas, ITESM and INAOE. He has done research stays at Imperial College London, University of British Columbia, INRIA and CREATE-NET. Dr. Sucar is member of the National System of Researchers, Level III of the Mexican Academy of Sciences, and the Mexican Academy of Engineering. He has been president of the Mexican Society for Artificial Intelligence, member of the Advisory Committee IJCAI, IEEE Senior Member and Associate Editor of the journals Computational Intelligence, Inteligencia Artificial, y Computación y Sistemas. He has more than 250 publications in journals, books and conferences, two patents and has supervised more than 70 undergraduate, master's and PhD thesis. His research focuses on artificial intelligence, mainly in developing probabilistic graphical models and their application in computer vision, robotics, intelligent tutoring systems and biomedicine. He has been pioneer in the development of Bayesian networks, highlighting their contributions in modeling high-level vision based on Bayesian networks, and the development of new models and techniques for temporary representations, data validation, reliability analysis, multimodal information recovery, gestures recognition, students modeling in tutoring systems and multidimensional and hierarchical classifiers.

Miguel Velez Reyes, PhD

Keynote Lecture: Integrating Spatial Information in Hyperspectral Unmixing

Workshop: Introduction to Hyper/Multispectral Remote Sensing

Dr. Miguel Vélez Reyes is the George W. Edwards/El Paso Electric Distinguished Professor in Engineering and Chair of the Electrical and Computer Engineering Department at the University of Texas at El Paso (UTEP) since 2012. He received the BSEE degree from the University of Puerto Rico at Mayagüez (UPRM), in 1985, and the MSEE and PhD degrees from the Massachusetts Institute of Technology (MIT) in 1988, and 1992, respectively. He was a member of the faculty at the Electrical and Computer Engineering in the University of Puerto Rico at Mayaguez (UPRM) from 1992 to 2012. He has held faculty research internship positions with the Air Force Research Laboratories, and the NASA Goddard Space Flight Center. He was the Founding Director of the UPRM Institute for Research in Integrative Systems and Engineering (IRISE) and was Associate Director of the NSF Engineering Research Center for Subsurface Sensing and Imaging Systems (CenSSIS) led by Northeastern University. He was director of the UPRM Tropical Center for Earth and Space Studies (TCESS), a NASA University Research Center. His research interests are in integrating physical model, statistical, and machine-learning approaches for information extraction using remote or minimally intrusive sensing. His work has been focused in recent times in remote sensing methodologies using hyperspectral remote sensing in earth sciences, national defense and security applications. He has over 150 publications in journals, books, and conference proceedings, and has supervised over 50 post-doctoral, doctoral and master students. Dr. Velez-Reyes is a Fellow of SPIE, The International Society for Optics and Photonics, and member of the Academy of Arts and Sciences of Puerto Rico. In 1997, he was one of 60 recipients from across the United States and its territories of the Presidential Early Career Award for Scientists and Engineers (PECASE) from the White House. He is Chair of the SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery. He is a senior member of the IEEE where he has held many posts such as president of the IEEE Western Puerto Rico Section, and Latin America (Region 9) representative to the IEEE PELS AdCom. He is a member of the Tau Beta Pi, Sigma Xi, and Phi Kappa Phi honor societies. He is also member of ASEE, SHPE, SACNAS, and AGU.

Hamid Krim, PhD

Keynote Lecture: Convexity, Sparsity, Nullity and All That...

Workshop: Shape Analysis and Modeling in Video Applications: Activity Analysis

Hamid Krim received his BSc. MSc. and Ph.D. in Electrical Engineering. He was a Member of Technical Staff at AT&T Bell Labs, where he has conducted R&D in the areas of telephony and digital communication systems/subsystems. Following an NSF postdoctoral fellowship at Foreign Centers of Excellence,LSS/University of Orsay, Paris, France, he joined the Laboratory for Information and Decision Systems, MIT, Cambridge, MA as a Research Scientist and where he was performing and supervising research. He is presently Professor of Electrical Engineering in the ECE Department, North Carolina State University, Raleigh, leading the Vision, Information and Statistical Signal Theories and Applications group. His research interests are in statistical signal and image analysis and mathematical modeling with a keen emphasis on applied problems in classification and recognition using geometric and topological tools. He has served and is currently serving on the IEEE editorial board of SP, and the TCs of SPTM and Big Data Initiative, as well as an AE of the new IEEE Transactions on SP on Information Processing on Networks, and of the IEEE SP Magazine. He is also one of the 2015-2016 Distinguished Lecturers of the IEEE SP Society.