Jan Ullrich is the linguistic director of The Language Conservancy, an organization serving indigenous communities in projects of language documentation and revitalization. His main research interests are in morphosyntactic analyses, semantics, corpus linguistics, lexicography, and second language acquisition.
He holds a Ph.D. in linguistics from Heinrich-Heine-Universität in Düsseldorf. He has taught at Indiana University, University of North Dakota, Oglala Lakota College, and Sitting Bull College and has given lectures at a number of institutions in Europe and North America.
Ullrich has been committed to and worked in fieldwork documentation and analysis of endangered languages since 1992, primarily focusing on the Dakotan branch of the Siouan language family (e.g. Lakhota, Dakhota, Assiniboine, Stoney). His research represents highly innovative, and in parts groundbreaking, analysis of predication and modification in Lakhota. He is the author and co-author of a number of highly acclaimed publications, such as the New Lakota Dictionary and the Lakota Grammar Handbook.
Research on head-marking languages: its contribution to linguistic theory and implications for NLP and NLU
Some of the most widely used linguistic theories, and especially those which have been more or less unsuccessfully applied in computer parsing and NLP, are affected by three main problems: (a) they are largely based on the study of dependent-marking syntax, which means they ignore half of the world’s languages, (b) they are syntacto-centric and mostly disregard semantics, and (c) they are not monostratal, but instead propose deep structures which cannot readily be accessed by statistically driven models and parsing algorithms.
This presentation will introduce a number of the broadly relevant theoretical concepts developed from the study of head-marking languages, such as Lakhóta (Siouan), and some of their implications for NLP and NLU. It will offer a brief introduction to the Role and Reference Grammar, a theory which connects structure and function by implementing a two-way linking algorithm between constituency-based structural analysis and semantics.
Amit Kumar Mishra
Amit Kumar Mishra is, currently, a Professor in the Radar Remote Sensing Group at the University of Cape Town. Prof. Mishra has more than 15 years of experience in the domain of radar and radio system design and applied machine learning. His current interests are around the use of cognitive architectures and advanced signal processing and machine learning to understand radar signals. His H-index (Scopus) is 12. He is also a serial innovator and has six patents to his credit.
Fusing Radar and Telecommunication
Radar and telecommunication systems, even though similar in most of their subsystems, need a substantially different set of algorithms and design to make them work. Multiple reasons have been driving more and more researchers to work on possible ways to make radar and telecommunication systems co-exist, cooperate and if possible to co-design of a hybrid system. In this talk, the author shall discuss some of his research-work around fusing telecommunication and radar systems. The talk shall cover three major ideas, viz. commensal radar, symbiotic radar and CommSense system.
His talk is POSTPONED.
Torsten Sattler received a PhD in Computer Science from RWTH Aachen University, Germany, in 2014 under the supervision of Prof. Bastian Leibe and Prof. Leif Kobbelt. In December 2013, he joined the Computer Vision and Geometry Group of Prof. Marc Pollefeys at ETH Zurich, Switzerland, where he currently is a senior researcher and Marc Pollefeys’ deputy while Prof. Pollefeys is on leave from ETH. His research interests include (large-scale) image-based localization using Structure-from-Motion point clouds, real-time localization and SLAM on mobile devices and for robotics, 3D mapping, Augmented abd Virtual Reality, machine learning, (multi-view) stereo, image retrieval and efficient spatial verification, camera calibration and pose estimation. His current work focuses on making algorithms for localization and mapping “smarter” by incorporating higher-level scene understanding.
Torsten has worked on dense sensing for self-driving cars as part of the V-Charge project. He is currently involved in enabling semantic SLAM and re-localization for gardening robots (as part of the Trimbot2020 project, a EU Horizon 2020 project where he leads the efforts on a workpackage), research for Google’s Tango project, where he leads CVG’s research efforts, and in work on self-driving cars.
Torsten has organized multiple tutorials and workshops at CVPR and ICCV. He regularly serves as a reviewer for the top-conferences in Computer Vision (CVPR, ECCV, ICCV) and Robotics (IROS, ICRA) and is an area chair for CVPR 2018 and 3DV 2018. His talk takes place in POSTPONED.
Miloslav Druckmüller is a Professor of Applied Mathematics at the Institute of mathematics, Faculty of Mechanical Engineering, Brno University of Technology and the head of the Department of Computer Graphics and Geometry. His main interests are numerical methods of image analysis, digital image processing, computer graphics and complex variable analysis. During the last 10 years he has been cooperating widely with the Institute for Astronomy, University of Hawaii in the field of solar coronal plasma research. He created a large archive of K-corona (photospheric light scattered on free electrons) images and temperature maps based on Fe and Ni ions observing based on data obtained during total solar eclipses during last two decades. Nowadays his research is mainly focused on processing and analysis of data obtained by NASA SDO spacecraft. His talk takes place in POSTPONED.
Kevin Köser is a senior researcher at the GEOMAR Helmholtz Centre for Ocean Research, Kiel. His main research interest lies in novel camera-based measurement techniques for (deep) sea environments and processes (3D underwater vision). These help to study resources, to explore and monitor (deep) sea habitats or to assess hazards, e.g. with respect to gas flux or seafloor dynamics. In the past years Dr. Köser has taught the classes 3D Photography and Computer Vision Lab at the Swiss Federal Institute of Technology (ETH Zurich) and has worked as a senior researcher in ETH’s Computer Vision and Geometry Lab on shape and motion extraction from photos and videos, geolocalization and image registration. POSTPONED.