Prof. Hervé Glotin - Institut Universitaire de France, CNRS LSIS and USTV, FR
Hervé Glotin is a Professor at the Insitut Universitaire de France and Univ. of Toulon, in the Systems & Information Sciences CNRS lab. He is leading the DYNI team on stochastic multimodal information retrieval. He received a diploma in computer science from University Pierre et Marie Curie-Paris. During his master thesis he proposed the first modelisation of vocalic system evolution, addressing the emergence of a common phonetic code in a society of communicating speech agents using evolutionary learning, which has been extended in many other works. He carried out his PhD at the Inst. of Perceptual Artificial Intelligence (IDIAP), CH and Inst. of Spoken Communication - Perception Team Grenoble on "Robust adaptive multi-stream automatic speech recognition using voicing and localization cues". In 2000 he was involved as an expert at the Johns Hopkins CSLP lab with the IBM human language team in audiovisual Large Vocabulary Speech Recognition. After two years as a research engineer at CNRS lab on phonology and Semantic analysis, he became an assistant professor at the University of Toulon in 2003. His research focuses on multimodal pattern analysis and retrieval systems, audiovisual indexing, cognitive models and bioacoustics. He is the co-author of one hundred of international refereed articles, and of an international (US, CANADA...) patent on a real-time bio-acoustic indexing algorithm. Herve Glotin is leading the CNRS interdisciplinary project 2012-2016, Scaled Acoustic Biodiversity with LIP6 Paris 6, the CNPS, MNHN and LIG. He is invited as a keynote speaker at the American Society of Acoustics workshop in June 2013 - Montreal for the special session on "Conditioning, Segmentation and Feature Extraction in Bioacoustics".
Prof. Yann LeCun - New York University, USA
Yann received a Diplôme d'Ingénieur from the Ecole Superieure d'Ingénieur en Electrotechnique et Electronique (ESIEE), Paris in 1983, a Diplôme d'Etudes Approfondies (DEA) from Université Pierre et Marie Curie, Paris in 1984, and a PhD in Computer Science from the same university in 1987. His PhD thesis was entitled "Modèles connexionnistes de l'apprentissage" (connexionist learning models) and introduced an early version of the back-propagation algorithm for gradient-based machine learning. In 1987, he joined Geoff Hinton's group at the University of Toronto as a research associate. He then joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, NJ in 1988. In 1991, he spend six months with the Laboratoire Central de Recherche of Thomson-CSF in Orsay, France, after which he returned to Bell Labs. Shortly after AT&T's second breakup in 1996, he became head of the Image Processing Research Department, part of Larry Rabiner's Speech and Image Processing Research Lab at AT&T Labs-Research in Red Bank, NJ. In 2002, he became a Fellow of the NEC Research Institute (now NEC Labs America) in Princeton, NJ. He joined the Courant Institute of Mathematical Sciences at New York University as a Professor of Computer Science in 2003. He was named Silver Professor in 2008. Yann LeCun has been associate editor of PLoS ONE (2008-present), IJCV (2003-present), IEEE Trans. PAMI (2003-2005), Pattern Recognition and Applications, Machine Learning Journal (1996-1998), IEEE Transactions on Neural Networks (1990-1991). Yann LeCun has published over 130 technical papers and book chapters on machine learning. He is leading the Computational and and Biological Learning Lab at NYU.
Dr. Christopher Clark - Cornell University, NY, USA
Christopher Clark is currently the Imogene P. Johnson Director for the Bioacoustics Research Program at the Cornell Lab of Ornithology, and a senior scientist at the Department of Neurobiology and Behavior at Cornell University, NY. He oversees and directs a vigorous, multidisciplinary program that is actively engaged in both basic and applied research. Dr. Clark is an expert in engineering design and implementation of automatic acoustic detection, classification, localization and tracking systems as applied to animal acoustic communication, behavioral ecology and quantifying potential risks to wildlife from anthropogenic activities. Projects include migratory bird monitoring on DOD installations, nicaloise effects on endangered bird species, rare bird monitoring, miniaturized radio tracking transmitters and advanced radio tracking receiver networks. His scientific conservation research on a variety of large whale species continues throughout the world's oceans.
Dr. Xanadu Halkias - CNRS LSIS and USTV, FR
Xanadu Halkias received her PhD from the Electrical Engineering Department of Columbia University, NY. Her research focused on advanced signal processing and machine learning as it applies to bioacoustics. She is currently a post-doctorate fellow at the Université du Sud - Toulon working on machine learning and specifically deep architectures and their applications.
Dr. Peter Dugan - Cornell University, NY, USA
Peter Dugan is currently the PI on the National Oceanic Partnership (NOPP) Grant focusing on detection, classification and localization of marine mammals. He received his PhD in Electrical Engineering and Combined behavioral biology from Binghamton University in NY. Prior to Cornell University he held positions in the industry in companies such as Hughes Link Flight Simulation and Lockheed Martin. He also has an extensive publication and patent portfolio showcasing advanced methodologies in machine learning for marine mammal vocalizations. His interests and motivations include the research and development of computationally intelligent systems, by combining traditional "shallow systems" with "deep learning systems" for object detection and classification in order to enhance system accuracy. The NOPP grant has been awarded 1M$ for the years 2012-2015. As the PI, his goal is to investigate new approaches and deliever comparative studies working on integrated teams representing Science, Technology, Engineering and Mathematics (STEM).
Associate Prof. Jérôme Sueur - Muséum National d'Histoire Naturelle, Paris, FR
Jérôme Sueur is currently an habilitated Associate Professor at the museum of natural history in Paris, France. With a strong international academic background in biological sciences, his interests and expertise can be found in: acoustics ecology i.e biodiversity assessment through acoustics; Animal audition, i.e. the nano-mechanics of tympanal audition in insects; Animal behavior and animal systematics. He has an extensive list of international publications in journals such as Ecological Indicators, Journal of Experimental Biology and Plos ONE.
