Projects and Grants

The information comes from the university database V3S.

Principal Investigator:
doc. Ing. Andrej Lališ, Ph.D.
Annotation:
The goal of the project is to increase safety intelligence of complex aviation organizations by proposing a way of measurement and visualization of organizations’ safety performance based on systemic approach to safety. The project is focused on development of technical solution aligned with International Civil Aviation Organization’s plans. Objectives of the project are (1) to develop knowledge base for storing knowledge about achieved safety performance (2) to propose a procedure of safety performance evaluation based on systemic approach to safety and (3) to develop software tool to support systemic measurement and visualization of safety performance based on the proposed procedure and by utilizing data from the knowledge base.
Department:
Year:
2024 - 2026
Program:
Program na podporu aplikovaného výzkumu a inovací v oblasti dopravy – DOPRAVA 2030

Principal Investigator:
Co-Investigators:
Annotation:
In many domains such as aerospace and civil aviation in general, safety assessment is performed with old and outdated methodologies when it comes to complex systems involving software and/or human interactions. Newer and more effective methodologies exist, such as System-Theoretic Process Analysis (STPA), but their adoption and implementation by the industry is rather long and not marked. One of the reasons explaining it is the lack of time to train employees and create new procedures within the organization, as well as the time-demanding nature of the analysis and the related processes . This project tackles this issue by bringing an automation tool that will reduce the time of performing an STPA analysis and will increase its efficiency at the same time. Overall, safety would be increased in organizations willing to implement such a tool to adopt STPA. The challenges will lie in defining a conceptual model as well as defining and formalizing the data that will be mapped to this conceptual model.
Department:
Year:
2023 - 2024
Program:
Studentská grantová soutěž ČVUT - SGS23/137/OHK2/2T/16

Principal Investigator:
Co-Investigators:
Ing. Natalia Guskova; Ing. Martin Kála, Ph.D.; doc. Ing. Andrej Lališ, Ph.D.
Annotation:
The project deals with the development of logistics management for aircraft maintenance organisations. It addresses the overall streamlining of the process of ordering individual parts for replacement on the aircraft, the costs associated with logistics, or the storage of the materials. The data for the solution of this work will be provided by a maintenance organisation based in the Czech Republic. Consultations will be made with both Czech-based organisations and companies from abroad to ensure that the results of the project are applicable in practice. The project will provide a comprehensive overview of representative materials and parts that will bring the most significant streamlining of the aircraft maintenance process. Based on the input data, appropriate statistical methods as well as mathematical formulas and equations will be selected to make the logistics management process more efficient. All of the data collected, a summary of sample materials and parts, statistics and mathematics will be used to develop a mathematical model that will provide comprehensive outputs that will ensure increased efficiency of logistics management for the planning and execution of maintenance of transport aircraft in authorized maintenance organizations which shall reduce costs of maintenance process.
Department:
Year:
2023 - 2024
Program:
Studentská grantová soutěž ČVUT - SGS23/141/OHK2/2T/16

Principal Investigator:
doc. Ing. Andrej Lališ, Ph.D.
Co-Investigators:
Mgr. Miroslav Blaško, Ph.D.
Annotation:
The goal of the project proposal is application of STAMP prediction model theory in the civil aviation authority environment and development of a tool supporting the application. Particular goal is creation of a model of key safety management procedures of the authority and audit models of selected overseen aviation organizations, which will be interconnected with safety data from the organizations. Created models and safety data will be compatible with the theory of STAMP. Next particular goal is development of a software tool supporting the application of STAMP in the civil aviation authority, which will support the use case of safety data collection and processing and management of model of key safety management procedures of the authority and audit models of the overseen organizations.
Department:
Year:
2020 - 2023
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Principal Investigator:
doc. Ing. Andrej Lališ, Ph.D.
Co-Investigators:
Mgr. Miroslav Blaško, Ph.D.
Annotation:
The main goal of the project is improvement of effectiveness of aircraft maintenance planning and execution with consequent improvement of air transport competitiveness and availability. Particular goala are identification of factors and dependencies, which determine the course of aircraft maintenance, and improvement of accuracy of the aircraft maintenance and repair process estimation. The scope of the project is research of relations among factors and creation of knowledge model, i.e. knowledge graph, which will consider relevant factors and relations among them during estimation of individual task schedule and so increase the accuracy of the overall maintenance calculation. In this regard, the project is focused on utilization of contemporary solutions from the domain of knowledge management systems and mathematical predictive analysis.
Department:
Year:
2020 - 2023
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Principal Investigator:
Co-Investigators:
Ing. Lenka Hanáková, Ph.D.; Ing. Michaela Kalivodová; Ing. Stanislav Kušmírek, Ph.D.; doc. Ing. Andrej Lališ, Ph.D.; Ing. Tomáš Malich; doc. Ing. Bc. Vladimír Socha, Ph.D.; doc. Ing. Peter Vittek, Ph.D.
Annotation:
The use of augmented reality in aviation is a result of a constant effort of increasing aviation safety. The idea of augmented reality is commonly used in form of a Head-Up Display or is in testing as a Head-Worn Display (HWD) technology. HWD is a display unit attached directly to the user which implies that its most commonly in form of a helmet or glasses, specifically smart glasses. The projection of augmented reality into a visual field of a user in aviation department is undoubtedly a step forward, but the limitation of these imaging systems is the absence of an analysis of ergonomics of the display of selected data in the field of view. Presented project is focused on removing the above mentioned limitations and designing a concept layout of flight and navigation data from the primary flight display, in terms of both graphical and spatial, respecting the perceptual possibilities of the visible field of the user. The aim is to develop augmented reality software design and to verify HWD application. The software will be implemented in open-source smart glasses, and the way the flight and navigation data will be displayed will be designed with a view to maximize the usability of the presented data.
Department:
Year:
2019 - 2020
Program:
Studentská grantová soutěž ČVUT - SGS19/133/OHK2/2T/16

Principal Investigator:
doc. Ing. Andrej Lališ, Ph.D.
Co-Investigators:
Mgr. Miroslav Blaško, Ph.D.
Annotation:
Projekt je zaměřen na vývoj znalostních systému v letecké dopravě s ohledem na využití ontologického inženýrství v této doméně. Cílem projektu je využít konceptuálního modelování kvality a spolehlivosti leteckých výrobků za účelem reprezentace znalosti a korelace v datech o kvalitě a spolehlivosti. Důraz v projektu bude kladen na možnost extrakce klíčových informací z nestrukturovaných dat a na zkoumání možností pro transformaci nestrukturovaných dat na data strukturované. Projekt povede k tvorbě znalostního systému letecké kvality a spolehlivosti, za účelem podpory správy doménové znalosti, její extrakce a dalšího využití v průmyslu. Výsledky projektu budu ověřeny pomocí případových studií v reálných podmínkách, jako podpora procesu rozhodování o zajištění kvality a spolehlivosti v letectví.
Department:
Year:
2019 - 2022
Program:
INTER-EXCELLENCE

Principal Investigator:
Co-Investigators:
Ing. Simona Bolčeková; doc. Ing. Andrej Lališ, Ph.D.; prof. Ing. Milan Lánský, DrSc.
Annotation:
The goal of the project is to develop concept for safety performance evaluation for systemic safety models in civil aviation. Safety is focused on proactive approach to prevent accidents instead of reacting to accidents, which already happened. Proactive approach also includes safety performance. The newest trend in safety is to use systemic approach. System analysis covers all interactions among system components, effects of environment and human factor. Systemic approach does not try to find one fault but it want to cover the overall system cause of problems. Evaluation of safety performance is one of the most important component of safety system but it was not yet fully implemented into different industries, due to novelty of the systemic approach to modelling safety. Currently, few implementations of the system approach to safety exist. The issue of safety performance evaluation using the systemic approach is very highly present. The output of the project should be concept of safety performance evaluation for systemic models of safety according the latest safety theories.
Department:
Year:
2018 - 2019
Program:
Studentská grantová soutěž ČVUT - SGS18/156/OHK2/2T/16

Principal Investigator:
Ing. Lenka Hanáková, Ph.D.
Co-Investigators:
Ing. Stanislav Absolon; Ing. Bc. David Hůlek, Ph.D.; doc. Ing. Andrej Lališ, Ph.D.; doc. Ing. Vladimír Němec, Ph.D., prof. h. c.; doc. Ing. Bc. Vladimír Socha, Ph.D.
Annotation:
The present project deals with the bases of performance evaluation and psychophysiological stress in pilots. The idea is in selection of appropriate physiological parameters and methods of their evaluation to identify the psychophysiological state of the pilot during the execution of flight operations based on existing knowledge and on usage of biotelemetry. This could lead to identification of stress, fatigue or power states based on non-invasive modular biotemetric systems. The review of current state shows that the evaluation of performance and psychophysiological workload of pilot sis based on monitoring and evaluation of psychophysiological functions. There are plenty of methods how to evaluate such data which are mostly based on linear methods (evaluation in time and frequency domain). Specificity and sensitivity of the methods with the purpose of identification and clasification of psychophysilogical state, or pilots performance, is still unknown. Therefore, the proposed project has the ambition to supplement these common methods with a nonlinear methods, such as recurrence quantification analysis and fractal analysis. The used signals will be primarily myopotentials, electrocardiogram, respiratory rate, body temperature, actigram and electroencephalogram. The main objective of the project is to propose a method of dynamic evaluation of data that can be obtained via wearable biotelemetry systems, and which will allow complex identification of psychophysiological state and pilot performance. Measurements will be performed on flight simulators placed at Department of Air Transport Faculty of Transportation Sciences CTU.
Department:
Year:
2017 - 2018
Program:
Studentská grantová soutěž ČVUT - SGS17/150/OHK2/2T/16

Principal Investigator:
doc. Ing. Andrej Lališ, Ph.D.
Co-Investigators:
Ing. Jan Franěk; doc. Ing. Vladimír Němec, Ph.D., prof. h. c.; Ing. Vladimír Plos, Ph.D.; Ing. Slobodan Stojić, Ph.D.; Ing. Veronika Červená; Ing. Oldřich Štumbauer, Ph.D.; Ing. Marek Štumper
Annotation:
The project is aimed at establishment of basic model allowing advanced evaluation and analysis of safety performance in time. In nowadays aviation, safety performance is an element subjected to efforts for its effective quantification. Expressing the safety performance in time represents a signal which is possible to analyse similarly as any other sensorial signal (picked up from speedometers, navigational systems etc.) utilizing current mathematical modelling. This basic model, however, will be focused on the so called soft data (data about events, operational data etc.) which are modern phenomenon and which comprise significant part of the domain of safety. In aviation, air navigation service providers have the majority of relevant data available, and at the same time, they have the most advanced safety management systems (SMS). Thus such a model application appears to be most feasible for them. The model will provide safety management with brand-new type of safety analysis which should facilitate decision process and priority settings. It will be based upon most appropriate mathematical mechanism selection which will serve for identification of ways for safety performance evaluation in time.
Department:
Year:
2016 - 2017
Program:
Studentská grantová soutěž ČVUT - SGS16/188/OHK2/2T/16