CALL FOR NOMINATIONS
VCLA International Student Awards 2018 in Memory of Helmut Veith
The Vienna Center for Logic and Algorithms of TU Wien (Vienna University of Technology), calls for the nomination of authors of outstanding theses and scientific works in the field of Logic and Computer Science, in the following two categories:
- Outstanding Master Thesis Award
- Outstanding Undergraduate Thesis Award (Bachelor thesis or equivalent, 1st cycle of the Bologna process)
The main areas of interest are:
- Computational Logic, covering theoretical and mathematical foundations such as proof theory, model theory, algorithmic lower and upper bounds, Boolean satisfiability (SAT), QBF, constraint satisfaction, satisfiability modulo theories, automated deduction (resolution, refutation, theorem proving), non-classical logics (substructural logics, multi-valued logics, deontic logics, modal and temporal logics), computational complexity (complexity analysis, parameterized complexity, decomposition methods).
- Databases and Artificial Intelligence, concerned with logical methods for modeling, storing, and drawing inferences from data and knowledge. This includes subjects like query languages based on logical concepts (Datalog, variants of SQL, XML, and SPARQL), novel database-theoretical methods (schema mappings, information extraction and integration), logic programming, knowledge representation and reasoning (ontologies, answer-set programming, belief change, inconsistency handling, argumentation, planning).
- Verification, concerned with logical methods and automated tools for reasoning about the behavior and correctness of complex state-based systems such as software and hardware designs as well as hybrid systems. This ranges from model checking, program analysis and abstraction to new interdisciplinary areas such as fault localization, program repair, program synthesis, and the analysis of biological systems.
The award is dedicated to the memory of Helmut Veith, the brilliant computer scientist who tragically passed away in March 2016, and aims to carry on his commitment to promoting young talent and promising researchers in these areas.
Award
The Outstanding Master Thesis Award is accompanied by a prize of € 1200, and the Outstanding Undergraduate Research Award by a prize of € 800. Additionally, the winners will be invited to present their work at an award ceremony during the Federated Logic Conference (FLoC) 2018 in Oxford.
Eligibility
The degree must have been awarded between November 15th 2015 and December 31st 2017. Students who obtained the degree at TU Wien are excluded from the nomination.
Important dates
- Submission deadline: March 15, 2018 (anywhere on Earth)
- Notification of decision: End of May 2018
- Award ceremony: July 2018 (during FLoC, details to be announced)
Nomination Procedures
For nomination instructions, please visit http://logic-cs.at/award-call-2018/
Kindly address all inquiries to award@logic-cs.at
VCLA Award Committee
- Federico Aschieri
- Paolo Baldi
- Ezio Bartocci
- Johannes Fichte
- Ekaterina Fokina
- Robert Ganian (committee co-chair)
- Yazmin A. Ibanez-Garcia
- Roman Kuznets
- Bjoern Lellmann
- Nysret Musliu
- Michael Morak
- Martin Nöllenburg
- Sebastian Ordyniak
- Magdalena Ortiz (general chair)
- Revantha Ramanayake (committee co-chair)
- Martin Suda
- Friedrich Slivovsky
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Due to their increasing use by civil and federal authorities and vast commercial and amateur applications, Unmanned Aerial Systems (UAS) will be introduced into the National Air Space (NAS); the question is only how this can be done safely. Today, NASA and the FAA are designing a new, (NextGen) automated air traffic control system for all aircraft, manned or unmanned. New algorithms and tools will need to be developed to enable computation of the complex questions inherent in designing such a system while proving adherence to rigorous safety standards. Researchers must develop the tools of formal analysis to be able to address the UAS in the NAS problem, reason about UAS integration during the design phase of NextGen, and tie this design to on-board capabilities to provide runtime System Health Management (SHM), ensuring the safety of people and property on the ground. This proposal takes a holistic view and integrates advances in the state of the art from three intertwined perspectives to address safe integration of unmanned systems into the national airspace: from on-board the vehicle, from the environment (NAS), and from the underlying theory enabling their formal analysis. There has been rapid development of new UAS technologies yet few of them are formally mathematically rigorous to the degree needed for FAA safety-critical system certification. This project bridges that gap, integrating new UAS and air traffic control designs with advances in formal analysis. Within the wealth of promising directions for autonomous UAS capabilities, this project fills a unique need, providing a direct synergy between on-board UAS SHM, the NAS environment in which they must operate, and the theoretical foundations common to both of these. This research will help to build a safer NAS with increased capacity for UAS and create broadly impactful capabilities for SHM on-board UAS. Advancements will require theoretical research into more scalable model checking and debugging of safety properties. Safety properties express the sentiment that "something bad does not happen" during any system execution; they represent the vast majority of the requirements for NextGen designs and all requirements researchers can monitor on-board a UAS for system heath management during runtime. This research will tackle new frontiers in embedding health management capabilities on-board UAS. Collaborations with aerospace system designers at the National Aeronautics and Space Administration and tool designers at the Bruno Kessler Foundation will aid real-life utility and technology transfer. Broader impact will be achieved by involving undergraduate students in the design of an open-source, affordable, all-COTS and 3D-printable UAS, which will facilitate flight testing of this project's research advances. An open-UAS design for academia will be useful both for classroom demonstrations and as a research platform. Further impact will be achieved by using this UAS and the research it enables in interactive teaching experiences for K-12, undergraduate, and graduate students and in mentoring outreach specifically targeted at girls achieving in Science, Technology, Engineering and Mathematics (STEM) subjects.