Civil engineering and transport

1. Applications of geoinformation to optimize the location of renewable energy sources.

Supervisor: dr hab. inż. Piotr Cichociński

Auxiliary supervisor: dr inż. Ewa Dębińska

Faculty of Mining Surveying and Environmental Engineering

Abstract: A deficit of land makes it necessary to avoid making wrong decisions regarding its use. Apart from allocating the area for purposes related to housing and human existence, communication, protection of natural resources or cultural heritage, it seems crucial to define the areas related to energy production and in the context of conditions observed on a global scale, especially those based on the use of renewable energy sources (RES). The location of appropriate equipment for obtaining and processing energy from renewable sources is a complex decision-making problem, characterized by its spatial character and requiring the decision-maker to take into account a number of often contradictory conditions. Moreover, in some cases the key factor is the recognition of spatiotemporal variability of energy availability in the analyzed area. Multi Criteria Analysis (MCA) is a tool that allows to effectively solve such problems. Additionally, if decisions are to be made in terms of space, it will be necessary to use geoinformation systems to collect, process and present the required data. Therefore, the aim of the research is to develop universal methods of estimating renewable energy resources and planning of RES developments, based on geospatial data and technologies and the capabilities of multi-criteria analyses.

Research facilities: The Department has at its disposal computer hardware and GIS software necessary to conduct research. According to Article 40a(2)(2) of the Act of 17 May 1989 - Surveying and cartographic law (Journal of Laws 2019.0.725) the University has free access to the data sets of the state surveying and cartographic resource in electronic form.

Number of places: 1

 

2. Geoinformation in the service of Smart City.

Supervisor: dr hab. inż. Piotr Cichociński

Auxiliary supervisor: dr inż. Ewa Dębińska

Faculty of Mining Surveying and Environmental Engineering

Abstract: The smart city concept is developing very quickly around the world, because it provides a comprehensive digital environment that improves the efficiency and security of urban systems and reinforces the involvement of citizens in urban development. This concept is based on the use of geospatial data concerning the urban built environment, the natural environment and urban services. The successful implementation of a smart city project requires the development of a digital system that can manage and visualize the geospatial data in a user-friendly environment. The geographic information system (GIS) offers advanced and user-friendly capabilities for smart city projects. The aim of the research is to determine how GIS can help in the implementation of smart city projects and to propose its applications in the development of geoinformation models of smart cities.

Research facilities: The Department has at its disposal computer hardware and GIS software necessary to conduct research. According to Article 40a(2)(2) of the Act of 17 May 1989 - Surveying and cartographic law (Journal of Laws 2019.0.725) the University has free access to the data sets of the state surveying and cartographic resource in electronic form.

Number of places: 1

 

3. Applying the synergy effects in optimization of monitoring of continuous welded rail geometry shaped by operational processes.

Supervisor: dr hab. inż. Michał Strach, prof. AGH

Auxiliary supervisor: dr inż. Arkadiusz Kampczyk

Department of Engineering Surveying and Civil Engineering, Faculty of Mining Surveying and Environmental Engineering

 

Abstract: The research theme considers a current, complicated and important notion of monitoring of geometry of continuous welded rail. It requires interdisciplinary studies carried out on real objects in various time horizons. Applying the synergy effects in optimization of monitoring of continuous welded rail geometry shaped by operational processes requires a reference not only to surveying, cartographic and diagnostic works, but also to communication construction. In this case, it will also be necessary to consider issues related to railways, traffic engineering and geoinformation. Interdisciplinarity of the research covers the issues of sciences included in the civil engineering and transport discipline (Engineering and technology/Civil engineering and transport) in terms of safety and use. The topics of the research include:

  • geometry of continuous welded rail in straight and curvilinear sections,

  • the state of forces acting on tracks of continuous welded rail,

  • simulation and experimental modeling of railway track geometry,

  • methods of analyzes and evaluations for continuous welded rail geometry,

  • investigations of changes in stress-free temperature of the track in the adopted continuous welded rail,

  • investigations of changes in temperature of steel in rails depending on weather conditions,

  • developing an optimization process for the rail steel temperature monitoring.

Research facilities: The research facilities available for the scientific project are rich technical and software equipment of the Department of Engineering Surveying and Civil Engineering of the AGH University of Science and Technology in Krakow.  This applies in particular to the surveying equipment used to conduct research on the technical condition and geometry of the railway track. The Department is equipped with precise GNSS satellite receivers, a geo-radar, a radar interferometer, tachymeters and a digital level. Among the specialist devices there are: a measuring trolley, a digital track and turnout gauge and a contactless thermometer. It is complemented by software for analysis of results from all measuring devices. The software enables numerical calculations, design of track geometry and analysis and assessment of its technical condition.

Number of places: 1

 

4. Changes in the quality of urban space and the real estate market.

Supervisor: dr hab. inż. Agnieszka Bieda

Auxiliary supervisors: dr inż. Agnieszka Telega, dr inż. Ewelina Wójciak

Faculty of Mining Surveying and Environmental Engineering

Abstract: High aesthetics of the places and their functionality attracts users, which means that properly arranged space creates additional value for property buyers. In local markets, prices may depend on the perception of the space.

Since half of the world's population lives in cities, it is proposed to undertake research into the impact of changes in the quality of space on the real estate market in urban areas. This space is subject to constant changes resulting from, among others, the implementation of various local law documents. Among them, an important role is played by local spatial development plans in the public space parts, local revitalisation programmes and landscape resolutions. Their task is to improve the values of the space in order to improve the living conditions of the inhabitants. Social aspects of these activities are more and more clearly creating tendencies on the real estate market. Among local communities there is a fashion for living in a given area, and among real estate sellers there are attempts to create brands related to the implemented developments.

The aim of the research will be geospatial analyses and with the use of statistical models, as a result of which pricing factors will be determined, describing the impact of changes in the quality of urban space on the real estate market, as well as the size of this impact on individual properties. The research should be carried out on different markets and taking into account different documents, whose task is to organize the space.

Research facilities: Pursuant to Article 40a (2) (2) of the Act of 17 May 1989. – Surveying and cartographic law, consolidated text of 4 April 2019. (Journal of Laws of 2019, item 725) The University has free access to the data sets of the state surveying and cartographic resources (including the register of prices and values for real estates) in electronic form necessary to conduct analyses of the impact of the level of spatial order on the real estate value. Moreover, the Faculty has at its disposal computer hardware and software necessary to conduct research.

Number of places: 2

 

5. Diagnostics and threat assessment of building structures on mining areas with use of methods of machine learning and fem numerical analysis.

Supervisor: dr hab. inż. Karol Firek

Second supervisor: dr hab. inż. Janusz Rusek

Faculty of Mining Surveying and Environmental Engineering

Abstract: As part of the planned research, cooperation in the construction, geotechnical, geodetic and geophysical areas is foreseen. Construction of an in situ database with the current technical condition together with a periodic record of the intensity of static and dynamic impacts on the foundations of structures and geotechnical conditions. The created database is to allow the construction and validation of automated diagnostic systems. As part of the construction of such models, the use of machine learning and data-mining methods is envisaged. At the same time, it is planned to extend the "in situ" database with the results of multiple parametric FEM calculations for a selected group of construction objects. In general, the results of the conducted research are to contribute to: detailing the operation of diagnostic systems built on the basis of measured "in situ" data and increasing the scope of their applicability to the area of ​​phenomena that do not occur in a given research area. As part of the proposed approach, it is expected to use software for advanced FEA calculations of the ANSYS or ABAQUS environment. Additionally, in order to implement multiple FEM simulations, it will be necessary to program scripts that control eg in Python.

Research facilities: Cooperation with industrial units in the area of ​​mining and energy

Number of places: 2

 

6. Assessment of the influence of mining impacts on technical wear, utility characteristics and market value of buildings.

Supervisor: dr hab. inż. Karol Firek

Second supervisor: dr hab. inż. Janusz Rusek

Faculty of Mining Surveying and Environmental Engineering

Abstract:As part of the research, it is planned to conduct analyzes of the impact of mineral exploitation in the form of surface deformation and mining tremors, for the building development located in the mining areas of Upper Silesian Coal Basin, Lublin Coal Basin and Legnica-Głogów Copper District.

The basis of the research will be the information base on the structure, technical condition and potential causes of damage to buildings with a masonry, large-panel and large-block wall structures as well as Portal-frame structures.

The collected information base will allow for multivariate analyzes of dependencies between technical features, technical condition characteristics and mining impact indicators.

As part of the proposed research, it is planned to use statistical methods of data mining and the application of artificial neural networks, fuzzy logic and machine learning.

It is expected that the results of the analyzes will allow comprehensive and accurate identification and modeling of phenomena. As a result, engineers, appraisers and entrepreneurs will obtain a methodology for a more complete qualitative and quantitative assessment of the influence of mining impacts on technical wear, utility characteristics and market value of buildings.

Research facilities: Cooperation with industrial units in the area of ​​mining and energy

Number of places: 2

 

7. Behaviour of concrete under complex loading conditions.

Supervisor: dr hab. inż. Jerzy Cieślik

Department of Geomechanics, Civil Engineering and Geotechnics, Faculty of Mining and Geoengineering

Abstract: In many types of civil engineering constructions, eg composite, prestressed, massive or special, concrete is subjected to complex and time-varying loads. In such conditions of work of structural elements, assessment of effort should be based on strength hypotheses defined for triaxial state of stress. Hence the need to build constitutive relations determined in a complex state of stress.

The research task concerns experimental research on concrete samples carried out on a laboratory scale to assess the behavior of concrete under complex mechanical load conditions. The goal undertaken in this task is to build constitutive relations and limit load conditions determined for concrete in a triaxial state of stress. The results of the tests obtained on the samples will be verified on the mechanical tests of structural elements in the laboratory scale.

Evaluation of concrete behavior under conditions of complex loads is not an easy task due to the fact that it is a heterogeneous and anisotropic material. These factors, significantly affecting the properties of concrete, will be taken into account in the implementation of this research task.

Research facilities: The research task will be carried out in the construction diagnostics laboratory and in the rock concrete testing laboratory.

The laboratories has high-quality equipment for structural elements diagnostics and servo-controlled press for concrete and rock samples strength teststing. MTS servo-controlled Rock and Concrete Mechanics Testing System with MTS triaxial cell, model 656.11 will be used in the implementation of this research task

Specification of the test equipment

- Compression rating 4600 kN

- Actuator displacement 100 mm

- Stiff load frame MTS 315

  • Force Transducer MTS type 661.23

  • Force Transducer MTS type 661.22

- Strain Measurement Transducers

  • An axial strain measurement kit

  • A circumferential strain measurement kit

- Triaxial Testing Assemblies MTS type 656.11 for Concrete and Rock Mechanics

Number of places: 1

 

8. Real estate cadastre in Poland and in other European countries - comparative analysis.

Supervisor: dr hab. inż. Małgorzata Buśko

Auxiliary supervisor: dr inż. Anna Przewięźlikowska

Department of Integrated Geodesy and Cartography, Faculty of Mining Surveying and Environmental Engineering

Abstract: The real estate cadastre in Poland is developing at a rapid pace. However, the direction of change is not uniform or stable. There is a need to present reasonable proposals directions of development of real estate cadastre in Poland. For this purpose, it is possible to analyze the principles of cadastre in a selected country of Europe. On the basis of this analysis and the specificity of conditions in Poland, you can propose directions for the development of a real estate cadastre in Poland.

Research facilities: Realization of research is ensured by the staff of researchers with rich scientific achievements in the field of the submitted topic. The Faculty and the Department provides access to specialist software necessary to carry out the work.

Number of places: 1

 

9. Real estate cadastre as a reference base for the valuation of real estate in various European countries.

Supervisor: dr hab. inż. Małgorzata Buśko

Auxiliary supervisor: dr inż. Anna Przewięźlikowska

Department of Integrated Geodesy and Cartography, Faculty of Mining Surveying and Environmental Engineering

Abstract: The real estate cadastre system is developing in Poland at a rapid pace. However, the scope of information that is collected in the real estate cadastre changes as the law changes. The direction of these changes is not uniform or stable. There is a need to present reasonable proposals for the scope of information on real estate, collected in the real estate cadastre in Poland. For this purpose, it is possible to analyze the principles of cadastre in a selected country of Europe. On the basis of this analysis and the specificity of conditions in Poland, you can propose directions for the development of a real estate cadastre in Poland.

Research facilities: Realization of research is ensured by the staff of researchers with rich scientific achievements in the field of the submitted topic. The Faculty and the Department provides access to specialist software necessary to carry out the work.

Number of places: 1

 

10. 3D Cadastre.

Supervisor: dr hab. inż. Jarosław Bydłosz

Faculty of Mining Surveying and Environmental Engineering

Abstract: At present, many countries in the world have different systems of registration for real estate or corresponding rights. Property location is usually determined in two dimensions, i.e. by the x and y coordinates (two-dimensional cadastre), while the range of rights in the vertical dimension is determined on the basis of other regulations. At present, in the era of high industrialisation and urbanisation it is increasingly necessary to define the scope of property rights and other rights also in the vertical dimension. The subject of research will be to develop the concept of a three-dimensional cadastre (3D cadastre) for a given country or jurisdiction. The tool used in the research will be the UML language. The research will be conducted taking into account standardisation issues. A possible verification of the obtained solutions on the basis of practical examples is planned, as well.

Research facilities: The work may be carried out with the use of free software, software available at the faculty or purchased from funds obtained by the doctoral student from scientific projects. A doctoral student should apply for a research project that will help in financing the research.

Number of places: 1

 

11. Laser scanning and non-contact technologies in monitoring mining excavations in Vietnamese conditions.

Supervisor: dr hab.inż. Tomasz Lipecki

Faculty of Mining Surveying and Environmental Engineering

Abstract: Vietnamese underground and surface mining begins to develop more and more intensively. The systems of inventorying of excavated material and performed exploitation play a greater role, which influences the decision-making processes of the production process as well as enables verification of potential surface deformations and their connection with inventoried geometry of mining excavations. With attention to the continuity of the production process, it is important to use modern methods to increase work safety and, at the same time, the speed of field measurements. Such methods include laser scanning (static and mobile), which can be used in open and underground mining conditions. For surface conditions (opencast mining), other non-contact methods can also be used - aerial photogrammetry using unmanned aerial vehicles and digital photogrammetry from ground level. As part of the research issue, it is proposed to implement the above technologies for use in Vietnamese conditions.

Research facilities: The Department of Mining Surveying and Environmental Engineering has research facilities for research, laser scanning and unmanned aerial vehicles. It also has the appropriate software to develop the results of the conducted research. Other data related to Vietnamese mining can be obtained on the basis of cooperation with Vietnamese partners (Geological and Mining University in Hanoi and VinaComin).

Number of places: 1

 

12. Hyperspectral, optical (Sentinel 2) and radar (Sentinel 2) images in crops monitoring.

Supervisor: prof. dr hab. inż. Beata Hejmanowska

Auxiliary supervisor: dr inż. Ewa Głowienka

Faculty of Mining Surveying and Environmental Engineering

Abstract: The research issue concerns research carried out together with the EU Research Center - Resesarch Center (Ispra, Italy) on crop monitoring for the purposes of control in the system of direct payments to agriculture. Based on the research conducted earlier in the Department, there are two research problems concerning crop monitoring: the use of S1 and S2 enables detection at the crop group level, not the plant, and that the spatial resolution of Sentinel images in the south of Poland is insufficient. Aerial hyperspectral images are excellent source of information that can reinforce monitoring at plant level and solve the problems related to spectral and spatial resolution. Significantly larger number of spectral channels in hyperspectral in compare with multispectral imaging increases the possibility of detection of plants / crops and their condition, which is confirmed in many literature items. Using airborne platform obviously allows the selection of the optimal spatial resolution not only for the purpose of qualitative detection (crop recognition) but also quantitative. The research will be conducted in the direction of the use of Google Earth Engine remote data processing technology and the development of a prototype application for use in administrative and scientific units as well as by all entities interested in the discussed issue.

Research facilities: The research will be carried out ath the Department of Geoinformation, Photogrammetry and Remote Sensing of Environment. The proposed research field is a continuation and development of the research realized in this Department. The Department has appropriate equipment and software enabling the processing and analysis of remote sensing data.

Number of places: 1

 

13. Research on the optimization of acquisition and processing of data from unmanned aerial systems for measuring objects with complex geometry.

Supervisor: dr hab. inż Urszula Marmol

Auxiliary supervisor: dr inż. Antoni Rzonca

Faculty of Mining Surveying and Environmental Engineering

Abstract: The issue includes research on optimizing the acquisition and processing of data obtained from unmanned aerial systems in order to take measurements of objects with complex, irregular geometry, as well as those that are not available. Complicated or inaccessible objects are found in various industries and include, among others: linear objects, whose characteristic parameter is the length that requires a specific distribution of ground control points; bridge structures and flyovers, the measurement of which may be difficult due to the complicated shape of the structure and the lack of accessibility to some elements in the case of ground- based measurement; intersections / nodes of linear objects requiring a special measurement approach in order to optimize the amount of data necessary to obtain the correct quality of the final product; opencast mines and quarries, where direct measurement is often unfeasible or expensive due to possible stoppage of work on the excavation; registered plots with difficult access and high-risk facilities (contamination, natural disasters) for which terrestrial measurement is not possible due to health and safety risk or for legal or practical reasons. The rapid development of photogrammetry with the use of BSL recorded in recent years has caused an emergence of new opportunities related to this technology of performing air surveys. The results of the research will allow to determine the possibilities and limitations of BSL in the measurement of engineering and topographic objects, along with recommendations in the scope of technical requirements for obtaining data and methods for their development.

Research facilities: The Department of Geoinformation Photogrammetry and Remote Sensing of Environment as part of cooperation with commercial companies has the necessary software to implement the research issue. Moreover, it provides access to computer equipment that allows free and continuous research. It is also planned to implement cooperation with external companies in order to obtain the necessary data.

Number of places: 1

 

14. Application of machine learning to automate the analysis of big remote sensing data sets.

Supervisor: prof. dr hab. inż. Beata Hejmanowska

Auxiliary supervisor: dr inż. Tomasz Pirowski

Faculty of Mining Surveying and Environmental Engineering

Abstract: Increasing availability of big data sets of remote sensing data acquired by optical and radar sensors enables to collect and analyse geospatial data on an unprecedented scale. These data differ in spatial, spectral and time resolution. The appropriate selection of remote sensing data useful for a specific application becomes an important problem. The possibility of complementary use of different data sources and the automation of the analysis process is of great importance. The use of machine learning techniques in this field, including deep learning, is currently an up- to-date research topic in the field of remote sensing. The research carried out in this area as part of this research issue will focus in particular on the problems of recognizing and monitoring changes in the land cover and land use. Application areas include identification and assessment of crop status as well as monitoring of urban areas and urbanization processes.

Research facilities: The research will be carried out ath the Department of Geoinformation, Photogrammetry and Remote Sensing of Environment. The proposed research field is a continuation and development of the research realized in this Department. The Department has appropriate equipment and software enabling the processing and analysis of remote sensing data.

Number of places: 1

 

15. Integration of photogrammetric, laser and remote sensing data in the process of automatic extraction of anthropogenic and natural objects using machine learning algorithms.

Supervisor: dr hab. inż Urszula Marmol

Auxiliary supervisor: dr inż. Mariusz Twardowski

Faculty of Mining Surveying and Environmental Engineering

Abstract: Observing current trends in scientific progress in the field of photogrammetry and remote sensing, it can be noticed that one of the main trends of the conducted research is the automation of the data processing. The existing technologies and systems allow to obtain accurate and diversified information about the analyzed objects. Complementarity of data obtained from various sensors (photogrammetric, laser and remote sensing data) opens up wide possibilities in the interpretation and extraction of even very geometrically complex objects. Multisensor integration allows to represent the analyzed object in a various, often very different way, which increases the research potential of the methods. The increase in the use of data analysis techniques, decision theory, artificial intelligence in many areas has led to the dynamic development of learning systems in recent years. Machine learning algorithms such as Random Forest (RF), Support Vector Machine (SVM), Decision Trees (DT), K-nearest Neighbor (KNN), or Deep learning (DL) are able to detect even complex non-linear patterns in data, which in turn allows the detection of anthropogenic and natural objects with a complex geometrical and spectral characteristics.

Research facilities: The proposed research issue will be a continuation and extension of the research presented in the monograph "Wavelet analysis of airborne laser scanning data in the process of automatic extraction of selected objects". This work uses the decision trees algorithm in the automatic processing of a large laser data set, developed using Gabor wavelets. This issue fits in the initiative of Vice-Rector for Education, Professor Wojciech Łużny, who proposed "... to create a university network of cooperation focused on the exchange of experiences and popularization of computational intelligence methods" (30/04/2019). Department of Geoinformation, Photogrammetry and Remote Sensing Environment has a set of modern computing units in the form of computers equipped with AMD Ryzen processors with eight cores, quad-core Intel i5 / i7 processors and 32-64GB of RAM. These units also mostly have NVidia and AMD graphics cards, together providing more than 10Tflop floating point operations per second. In addition, the employees of the Department have access to the computational resources of CK Cyfronet in the form of Prometheus and Zeus clusters, which, if necessary, can supplement computing needs for research projects. The Department staff also has extensive experience in applying various calculation packages, including R, Matlab, Octave and programming languages, among others Python and C / C ++.

Number of places: 1

 

16. Monitoring and risk assessment on the human transformed areas.

Supervisor: prof. dr hab. inż. Ryszard Hejmanowski

Auxiliary supervisor: dr inż. Wojciech T. Witkowski

Faculty of Mining Surveying and Environmental Engineering

Abstract: Threats/risks that can be faced in anthropogenically transformed areas are mainly displacements and deformations, sometimes also seismic phenomena. The displacements can be continuous or sudden - unexpected and are associated with interrupting the continuity of land cover. The latter are discontinuous deformations. They can occur as a result of a number of natural and artificial factors. Their mechanism is often not sufficiently researched to be modeled. The assessment of hazards and risks associated with this type of deformation must therefore be based on a good knowledge base, which is built based on the monitoring of similar phenomena. For the hazard assessment, you can then use a variety of scientific research methods. In the discussed issue, research niches can be identified, that are waiting to be filled in.

Research facilities: The scientific and research base for this task is computer equipment as well as GIS, geodetic and statistical software, as well as the necessary geodetic instruments at the disposal of the Unit. Doctoral scholarship will be funded in the research project of a scientific supervisor submitted at the National Science Center (Opus 17), in case its positive evaluation.

Number of places: 2

 

17. Exploring the possibility of a highly automated process of creating and updating a 3D model of selected mining excavations with a subsequent application for accounting for mining production.

Supervisor: dr hab.inż. Tomasz Lipecki

Faculty of Mining Surveying and Environmental Engineering

Abstract: Having an accurate, updated model of excavations together with the possibility of its ongoing updating allows for the monthly production of spoil, eg rock salt. Using the intersection of the excavation model with geological models - structural and quality, you can receive information on the current production of individual rock salt species. Thanks to this operation, it is possible to quickly and easily calculate the total extraction of minerals with simultaneous estimation of the value of the spoil, especially at salt excavations, which are subject to dynamic convergence. Using the data on costs generated in the course of operation, you can easily determine the profitability of extraction of a given mineral. The main result of the research will be the development of a path of proceedings regarding the creation and updating of a mining excavation model as well as the construction of an accurate model of mining excavations from data from various sources. The model will characterize the highest possible accuracy in relation to the actual mining excavations, taking into account the availability and validity of the source data. The next result will be the preparation of situational and altitude measurements of mining excavations together with software for fast processing of these data. The last projected result will be the development of technology for laser scanning using mobile scanners along with the subsequent processing of the obtained data.

Research facilities: The faculty has the majority of laboratory equipment needed to complete the doctorate. The parent company should have a position for the development of data as well as the equipment needed to carry out fieldwork. At the initial stage of the project, it is expected to use commercially available software in terms of suitability for 3D modeling. If you find alternative software that better addresses the issue of three-dimensional creation of excavations, it will be thoroughly tested both for the use of data from CZM but also for the subsequent export of the resulting model to the CAE Studio program. In addition, it is planned to create software for faster processing of tachymetric data. Data from tachymetric measurements will be the basic source used for the current updating of both the numerical map of mining excavations and the 3D model of excavations. A new type of ZEB-HORIZON mobile scanner will be used to acquire a point cloud.

Number of places: 1

 

 

18. Monitoring and modeling movements in the rock masses and on the terrain surface resulting from anthropogenic and natural transformations

Supervisor: dr hab. inż. Agnieszka Malinowska

Auxiliary supervisor: dr. inż. Wojciech Witkowski

Faculty of Mining Surveying and Environmental Engineering

Abstract: The main objective of the research topic will be application of the modern remote measurement techniques for observing displacements in the rock mass as well as on the terrain surface. These movements can be caused by both anthropogenic factors and natural phenomena. In addition, it is planned to develop prognostic models that allow estimating these movements over time. The research will be based on elements of data mining, multicriteria and expert methods, artificial intelligence and finite element methods.

Research facilities: Software: Oracle Database v. 18c Standard Edition AGH license; Spatialite v. 1.7.1. OpenSource license; ArcGIS Professional v. 16.1. AGH license; Geomedia Professional v. 2018 AGH license; QGIS v. 2.18. OpenSource license; Surfer v. 16 AGH license, Grapher v. 12 AGH license; AutoCAD v. 2018 AGH license, Microstation v. 8i AGH license; Matlab v. 2018Ra AGH license; Statistica v. 13 AGH license; Scilab v. 6.0. OpenSource license, RStudio v. 8.8; OpenSource license; MODFLOW v. 6 OpenSource license; IMOD v. 4.2. OpenSource license; SNAP v. 6.0. OpenSource license; STAMPS v. 6.1. OpenSource license, GMTSAR v. OpenSource license, DORIS v. 1.2. OpenSource license; Keras v. 2.2. OpenSource license, PyTorch v. OpenSource license, TensorFLOW v. 1.12 OpenSource license, Nengo v. 2.8. OpenSource license and the others which has been purchased by AGH.

Geodetic measuring equipment available on Mine Surveying and Environmental Engineering Faculty.

Number of places: 1

 

19. New concepts of algorithms of real estate valuation and real estate market analysis

Supervisor: dr hab. inż. Anna Barańska

Faculty of Mining Surveying and Environmental Engineering

Abstract: The development of the real estate market and the use of real estate value ​​in various fields of the broadly defined real estate management - requires constant improvement of the algorithms used to estimate the value of real estate as well as the development of new ones. They are to meet the diverse needs of real estate market participants, where not only private investors meet, but also local government units, financial institutions, representatives of the judiciary and others. One of the issues worthy of special attention is the development of a cadastral tax base, which would be socially acceptable and which would have a chance for political implementation.

Research facilities: Faculty of Mining Surveying and Environmental Engineering, based on cooperation with local government units, facilitates access to market data on the subject of real estate turnover, which would be the basis for the research.

Number of places: 1

 

20. Organisation of robust construction project implementation in the presence of disruptions

Supervisor: dr hab. inż. Grzegorz Ginda

Faculty of Management

Abstract: The implementation of construction projects is sbject to diverse disruptions. The disruptions may result in essential negative effects. Not only financial and delay effects may appear in this regard. This is why actual implementation of a construction project should be preceded by a careful preparation of project implementation. The application of appropriate construction project structure may particularly help in making project implementation insensitive to disruptions. A comprehensive analysis of possible disruptions and their influence may be also helpful in this regard. Disruption-proof project implementation may improve quality of construction services a lot.

 

Research facilities: Literature analysis, existing data resources and the application of questionanaires will provide necessary data. Own computer system resources will be applied to make data processing. The research will be into home chair activities.

 

Number of places: 1

 

21. Spatial information systems, cartographic modeling methods and artificial intelligence in the issue of circular economy, having regard to the development of information society in Smart Cities.

Supervisor: dr hab. inż. Krystian Kozioł

Auxiliary supervisor: dr inż. Stanisław Szombara

Faculty of Mining Surveying and Environmental Engineering

Abstract: Spatial information systems along with cartographic modeling methods are currently one of the basis for creating wide range of geoinformation services in the economy of every country. Wide access to spatial databases creates various opportunities to take them into account while making decisions concerning development and economy. At the same time, dynamic growth of social consciousness makes it possible to increase the social participation in decision-making process, which is inseparably connected to Smart City and Smart Society issues. Closed-loop economy functions basing on the research of systems full of feedback loops. Its practical application in economic systems evolved implementing different features and contributions from various approaches that go along with the concept of closed loops. In the context of presented research topic the works will be conducted in matters of possibility of using and applying the elements listed below in the closed-loop economy, having regard to Smart City and Smart Society:

  • data input, verification and modeling processes,

  • data storage and database management,

  • spatial data modeling with the usage of noSQL databases and graph databases,

  • spatial multicriteria analysis based on different models than the relational one,

  • implementation of machine learning in the spatial decision support analysis,

  • social participation components,

  • user’s interaction components.

Research facilities: The research will be carried out using IT facilities of the Department of Integrated Geodesy and Cartography with the possibility of using data and computational resources of Academic Computer Centre CYFRONET AGH and Centre for Scientific Geospatial Analysis and Satellite Calculaton (CENAGIS). Additionally, the Faculty provides computer hardware and GIS software that is crucial to conduct the research. According to Article 40a (2) (2) of the Act of 17 May 1989 - Surveying and cartographic law (Journal of Laws 2019.0.725) the University has free access to the data sets of the state surveying and cartographic resource in electronic form.

Number of places: 2

 

22. Application of machine learning in geodetic monitoring of engineering objects

Supervisor: dr hab. inż. Tomasz Owerko

Auxiliary supervisor: dr inż. Przemysław Kuras

Faculty of Mining Surveying and Environmental Engineering

Abstract: The research task will include the creation and optimization of algorithms based on machine learning methods for the processing of data obtained as part of geodetic monitoring of engineering structures. The main objective of the research will be to develop methods related to data processing involving vibrations of engineering objects, eg bridges, to identify potential failures (SHM class solutions). The research work will also include the adaptation of the methods of digital processing of measurement signals in order to be subsequently evaluated by machine learning methods. The second area of research will be the use of deep machine learning to acquire and assess damage registered with ground-based as well as aerial photogrammetry, eg for concrete structures.

Research facilities: The Department has the appropriate equipment to carry out the necessary measurements and specialized software for data processing and analysis. The staff have experience in applying various calculation packages, including R, Matlab, as well as programming languages: Python and C/C ++

Number of places: 1