ARCHITECTURE AND URBAN PLANNING

PhD, Eng, Arch. Marta Rusnak
Department of History of Architecture, Art and Technology
Faculty of Architecture

– I explore how people perceive architectural heritage. Using eye-tracking, I aim to verify existing conservation theories and issues related to museology and architectural history. I want to create a research methodology to enable the use of eye trackers for pro-social and sustainable care of historic architecture in the future. I dream of introducing eye tracking as a teaching tool to support the education of architects, urban planners, conservators, and builders.

Selected published works: 

• Rusnak, M. Eye-tracking support for architects, conservators, and museologists. Anastylosis as pretext for research and discussion. Heritage Science 9, 81 (2021). https://dx.doi.org/10.1186/s40494-021-00548-7
• Rusnak M. Applicability of eye trackers in marketing activities related to historical monuments. Comparision of expert’s predictions and visual reactions of non-profesionals. Journal of Courtulal Heritage 49, 152-163 (2021). https://dx.doi.org/10.1016/j.culher.2021.02.004
• Rusnak, M; Ramus, E. With an eye tracker at the Warsaw Rising Museum: valorization of adaptation of historical interiors, Journal of Heritage Conservation 58, 78-90 (2019). https://dx.doi.org/10.17425/WK58WARSAW

AUTOMATICS, ELECTRONICS, AND ELECTRICAL ENGINEERING

PhD, Eng. Michał Jasiński
Department of Fundamentals of Electrical Engineering and Electrotechnology
Faculty of Electrical Engineering

– My research interests are the ways renewable energy sources work together with the power system and energy concentrators. In my research activity, I use methods based on mathematical optimisation, machine learning, and data mining. My scientific work has been carried out in cooperation with such significant companies as Tauron Dystrybucja and KGHM Polska Miedź S.A.

Selected published works:

• Jasiński M. Combined correlation and cluster analysis for long-term power quality data from virtual power plant. Electronics. 2021, vol. 10, nr 6, art. 641, s. 1-15. https://dx.doi.org/10.3390/electronics10060641
• Najafi A., Jasiński M., Leonowicz Z. A hybrid distributed framework for optimal coordination of electric vehicle aggregators problem. Energy. 2022, vol. 249, art. 123674, s. 1-13. https://doi.org/10.1016/j.energy.2022.123674
• Najafi A., Pourakbari-Kasmaei M.*, Jasiński M., Lehtonen M.*, Leonowicz Z. A hybrid decentralized stochastic-robust model for optimal coordination of electric vehicle aggregator and energy hub entities. Applied Energy. 2021, vol. 304, art. 117708, s. 1-13. https://dx.doi.org/10.1016/j.apenergy.2021.117708

TECHNICAL INFORMATICS AND TELECOMMUNICATIONS

PhD, Eng. Jan Kocoń
Department of Artificial Intelligence
Faculty of Information Technology and Telecommunications

– I’m concerned with the development of artificial intelligence methods in the field of natural language processing. Currently, most of my work focuses on the development of personalised models based on deep neural networks for subjective tasks, such as recognising emotions, offence, humour, overtones, etc. in text. This research leads to the targeting of artificial intelligence methods to the needs of a specific individual while allowing for the individual characteristics of a person and the context in which the text is evaluated the decision-making process. This work also has practical applications, as the CLARIN-PL project has produced services based on the models developed, which are used by researchers in the humanities and social sciences, as well as by companies involved in areas including media monitoring.

Selected published works:

• Kocoń, J., Figas, A., Gruza, M., Puchalska, D., Kajdanowicz, T., & Kazienko, P. (2021). Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach. Information Processing & Management, 58(5), 102643. https://www.sciencedirect.com/science/article/pii/S0306457321001333
• Kocoń, J., Gruza, M., Bielaniewicz, J., Grimling, D., Kanclerz, K., Miłkowski, P., & Kazienko, P. (2021). Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. In 2021 IEEE International Conference on Data Mining (ICDM) (pp. 1168-1173). IEEE. https://ieeexplore.ieee.org/abstract/document/9679002
• Kocoń, J., & Maziarz, M. (2021). Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition. Information Processing & Management, 58(3), 102530. https://www.sciencedirect.com/science/article/pii/S0306457321000388

BIOMEDICAL ENGINEERING

PhD, Eng. Igor Buzalewicz
Department of Biomedical Engineering
Faculty of Fundamental Problems of Technology

– My research topics include the use of various optical techniques (including diffractometry, interferometry, refractometry, digital holography, digital holotomography, spectral imaging, fluorescence confocal microscopy, etc.) for multi-parametric optical phenotyping of biological objects. I have focused, among other things, on the identification of bacterial colonies, the characterisation of single bacterial cells and their interaction with photosensitisers used for their photoinactivation or the differentiation of tissues, tumour cells, and extracellular vesicles to extract new optical patterns as potential diagnostic markers. Some of the technological solutions I have developed have been patented and implemented.

Selected published works::

• Buzalewicz I., Karwańska M., Wieliczko A., Podbielska H. On the application of multi-parametric optical phenotyping of bacterial colonies for multipurpose microbiological diagnostics, Biosensors and Bioelectronics. 2020, art. 112761, s. [1-19]. https://doi.org/10.1016/j.bios.2020.112761
• Buzalewicz I., Ulatowska-Jarża A., Kaczorowska A. M., Gąsior-Głogowska M. E., Podbielska H., Karwańska M., Wieliczko A., Matczuk A. K., Kowal K., Kopaczyńska M. Bacteria single-cell and photosensitizer interaction revealed by quantitative phase imaging. International Journal of Molecular Sciences. 2021, vol. 22, nr 10, art. 5068, s. 1-24. https://doi.org/10.3390/ijms22105068
• Zadka Ł., Buzalewicz I., Ulatowska-Jarża A., Rusak A., Kochel M., Ceremuga I., Dzięgiel P. Label-free quantitative phase imaging reveals spatial heterogeneity of extracellular vesicles in selected colon disorders. American Journal of Pathology. 2021, vol. 191, nr 12, s. 2147-2171. https://doi.org/10.1016/j.ajpath.2021.08.005

CHEMICAL ENGINEERING

PhD, DSc, Eng.Piotr Cyganowski
Department of Process Engineering and Polymer and Carbon Materials Technology
Faculty of Chemistry

– My scientific interests are centred on neutralising nitroaromatic compounds, which belong to the most numerous group of chemicals used on an industrial scale. The associated environmental pollution poses a significant threat to living organisms as nitroaromatics are toxic and carcinogenic in nature. I design and synthesise new nanomaterials to enable efficient neutralisation of these compounds, leading at the same time to the synthesis of aromatic amines, which are high-value chemicals for the production of high-volume pharmaceuticals, among other products.

Selected published works:

• Cyganowski P., et al. Non-thermal atmospheric pressure plasma as a powerful tool for the synthesis of rhenium-based nanostructures for the catalytic hydrogenation of 4-nitrophenol. RSC Advances 11.61 (2021): 38596-38604. https://doi.org/10.1039/d1ra07416d
• Cyganowski P. Fully recyclable gold-based nanocomposite catalysts with enhanced reusability for catalytic hydrogenation of p-nitrophenol. Colloids and Surfaces A: Physicochemical and Engineering Aspects 612 (2021): 125995. https://doi.org/10.1016/j.colsurfa.2020.125995
• Cyganowski P., Wolska J. Nanocomposite membranes with Au nanoparticles for dialysis-based catalytic reduction-separation of nitroaromatic compounds. Reactive and Functional Polymers 170 (2022): 105119. https://doi.org/10.1016/j.reactfunctpolym.2021.105119

CIVIL ENGINEERING AND TRANSPORT

PhD, Eng. Sławomir Czarnecki
Department of Building Materials and Processes Engineering
Faculty of Civil Engineering

– Assessing the mechanical properties of building composites using both destructive and non- destructive methods is the main scientific topic I deal with on a daily basis. I use various machine learning techniques to model these properties. In addition, I’m also interested in tribological phenomena occurring on the surface of cement composites and their metrology.

Selected published works::

• Czarnecki S., Shariq M., Nikoo M., Sadowski Ł. An intelligent model for the prediction of the compressive strength of cementitious composites with ground granulated blast furnace slag based on ultrasonic pulse velocity measurements. Measurement (London). 2021, vol. 172, art. 108951. https://doi.org/10.1016/j.measurement.2020.108951
• Czarnecki S., Sadowski Ł., Hoła J., “Evaluation of interlayer bonding in layered composites based on non-destructive measurements and machine learning: comparative analysis of selected learning algorithms”, Automation in Construction. 2021, vol. 132, art. 103977. https://doi.org/10.1016/j.autcon.2021.103977
• Czarnecki S., Sadowski Ł., Hoła J., Artificial neural networks for non-destructive identification of the interlayer bonding between repair overlay and concrete substrate. Advances in Engineering Software. 2020, vol. 141, art. 102769, https://doi.org/10.1016/j.advengsoft.2020.102769

MATERIAL ENGINEERING

PhD, Eng. Andrzej Żak
Department of Vehicle Engineering
Faculty of Mechanical Engineering

– My work concerns electron microscopy, and I specialize in in-situ methods – building dedicated apparatus to perform experiments directly during electron observations. My modifications to the apparatus allow me to study transformations and interactions under the influence of light or electrical current. While doing it, I develop imaging techniques for rock materials, cement materials and biomacromolecules, thus meeting the needs of my colleagues working in other disciplines.

Selected published works::

• Żak A., Guide to controlling the electron dose to improve low-dose imaging of sensitive samples, Micron, 2021, vol 145, 103058, https://doi.org/10.1016/j.micron.2021.103058  
• Szczepański Ł., Bambach M., Żak A. In Situ and Ex Situ TEM analysis of the copper precipitation in martensitic steel. Metallurgical and Materials Transactions. A. Physical Metallurgy and Materials Science. 2022, vol. 53, s. 1145-1149. https://doi.org/10.1007/s11661-021-06561-6
• Żak A., Kaczmarczyk O., Piksa M., Grzęda J., Matczyszyn K., Fiber-optic sample illuminator design for the observation of light induced phenomena with transmission electron microscopy in situ: Antimicrobial photodynamic therapy. Ultramicroscopy. 2021, vol. 230, art. 113388, s. 1-5.
• https://doi.org/10.1016/j.ultramic.2021.113388

MECHANICAL ENGINEERING

Msc, Eng. Aleksandra Królicka
Department of Metal Forming, Welding and Metrology
Faculty of Mechanical Engineering

– My area of research interest includes the analysis of the micro- and nanostructural structure of engineering materials in relation to their macroscopic properties. In my research work, I use electron microscopy methods (SEM, TEM and EBSD). I focus on improving the technological and performance- related properties of modern nanostructured bainitic steels by modelling them at the structural level. I’m currently developing concepts for novel bainitic steels using new strengthening mechanisms.

Selected published works:

• Królicka A., Żak A.M., Caballero F.G. Enhancing technological prospect of nanostructured bainitic steels by the control of thermal stability of austenite, Mater. Des. 211 (2021) 110143. https://doi.org/10.1016/j.matdes.2021.110143
• Królicka A., Radwański K., Ambroziak A., Żak A. Analysis of grain growth and morphology of bainite in medium-carbon spring steel, Mater. Sci. Eng. A. 768 (2019) 138446. https://doi.org/10.1016/j.msea.2019.138446
• Królicka A., Radwański K., Kuziak R., Zygmunt T., Ambroziak A. Microstructure-based approach to the evaluation of welded joints of bainitic rails designed for high-speed railways, J. Constr. Steel Res. 175 (2020) 106372. https://doi.org/10.1016/j.jcsr.2020.106372

ENVIRONMENTAL ENGINEERING, MINING, AND POWER ENGINEERING

PhD, Eng. Jakub Jurasz
Department of Water Supply and Sewage Systems
Faculty of Environmental Engineering

– I carry out research related to broadly understood issues of integration of non-dispatchable renewable energy sources into the national power system. In particular, I’m interested in issues related to the spatial and temporal variability of renewable sources and the accompanying extreme phenomena (e.g. energy droughts). More recently, I’ve tried to situate my research work more strongly in the context of climate change and the way the water-food-energy link functions.

Selected published works:

• Jurasz, J., Guezgouz, M., Campana, P. E., & Kies, A. (2022). On the impact of load profile data on the optimization results of off-grid energy systems. Renewable and Sustainable Energy Reviews, 159, 112199. https://doi.org/10.1016/j.rser.2022.112199
• Kies, A., Schyska, B. U., Bilousova, M., El Sayed, O., Jurasz, J., & Stoecker, H. (2021). Critical review of renewable generation datasets and their implications for European power system models. Renewable and Sustainable Energy Reviews, 152, 111614. https://doi.org/10.1016/j.rser.2021.111614
• Jurasz, J., Canales, F. A., Kies, A., Guezgouz, M., & Beluco, A. (2020). A review on the complementarity of renewable energy sources: Concept, metrics, application and future research directions. Solar Energy, 195, 703-724. https://doi.org/10.1016/j.solener.2019.11.087

MATHEMATICS

Dariusz Kosz, PhD
Department of Mathematics
Faculty of Mathematics

– I’m interested in harmonic analysis and its relationship with other areas of theoretical mathematics. In my articles, I focus on studying the properties of maximal operators and similar operators. The obtained results are applied, among other areas, for demonstrating good boundary behaviours of important objects that occur in ergodic theory, Fourier analysis, or number theory.

Selected published works:

• González-Riquelme C., Kosz D. BV continuity for the uncentered Hardy–Littlewood maximal operator. Journal of Functional Analysis (2021, artykuł opublikowany online). https://arxiv.org/abs/2009.05729.
• Kosz D., Mirek M., Plewa P., Wróbel B. Some remarks on dimension-free estimates for the discrete Hardy–Littlewood maximal functions. Israel Journal of Mathematics (2021, artykuł zaakceptowany do publikacji). https://arxiv.org/abs/2010.07379.
• Kosz D., Martínez-Perales J., Paternostro V., Rela E., Roncal L. Maximal operators on the infinite-dimensional torus. Mathematische Annalen (2022, artykuł zaakceptowany do publikacji). https://arxiv.org/abs/2109.04811

CHEMICAL SCIENCES

PhD, Eng. Jan Zaręba
Department of Advanced Materials Engineering and Modelling
Faculty of Chemistry

– The topics of my research focus on the characterisation of nonlinear-optic pigments, i.e. microcrystalline solids that exhibit nonlinear effects such as two-photon absorption or generation of radiation harmonics. In particular, I’m concerned with revealing the relationship between structure and nonlinear optical properties of coordination polymers, hybrid organic-inorganic perovskites, and supramolecular networks. This research is a signpost in the search for new materials that are useful for nonlinear-optical temperature and pressure measurements and capable of switching the nonlinear response under the influence of various external stimuli.

Selected published works:

• Zaręba J. K., Nyk M., Samoć M. Nonlinear Optical Properties of Emerging Nano‐and Microcrystalline Materials, Adv. Opt. Materials, 2021, 9, 2100216. https://onlinelibrary.wiley.com/doi/full/10.1002/adom.202100216
• Mączka M., Zaręba J. K., Gągor A.,Stefańska D., Ptak M., Roleder K., Kajewski D., Soszyński A., Fedoruk K., Sieradzki A. [Methylhydrazinium] 2 PbBr 4 , a Ferroelectric Hybrid Organic–Inorganic Perovskite with Multiple Nonlinear Optical Outputs, Chem. Mater. 2021, 33, 2331–2342. https://pubs.acs.org/doi/full/10.1021/acs.chemmater.0c04440
• Zaręba J.K., Nyk M., Janczak J., Samoć M. Three-Photon Absorption of Coordination Polymer Transforms UV-to-VIS Thermometry into NIR-to-VIS Thermometry, ACS Appl. Mater. Interfaces 2019, 11, 10435–10441. https://pubs.acs.org/doi/abs/10.1021/acsami.8b21937

PHYSICAL SCIENCES

PhD, Eng. Maciej Pieczarka
Department of Experimental Physics
Faculty of Fundamental Problems of Technology

– My area of research is the experimental study of the physics of quantum gases composed of particles of light, i.e. photons. In particular, it concerns their condensed form, the Bose-Einstein condensate, which is sometimes referred to as the next state of matter. I am working to find links between the principles of ordinary lasers and Bose-Einstein condensation effects, which may inspire the creation of a new type of optoelectronic device.

Selected published works:

• Estrecho, E., Pieczarka, M. et al. Low-Energy Collective Oscillations and Bogoliubov Sound in an Exciton-Polariton Condensate. Phys. Rev. Lett. 126, 75301 (2021). https://doi.org/10.1103/PhysRevLett.126.075301
• Pieczarka, M. et al. Topological phase transition in an all-optical exciton-polariton lattice. Optica 8, 1084 (2021). https://doi.org/10.1364/OPTICA.426996
• Pieczarka, M. et al. Observation of quantum depletion in a non-equilibrium exciton-polariton condensate. Nat. Commun. 11, 429 (2020). https://doi.org/10.1038/s41467-019-14243-6

MANAGEMENT AND QUALITY SCIENCES

Yash Chawla, PhD
Department of Operations Research and Business Intelligence
Faculty of Management

– My scientific interests are mainly related to innovation management and marketing management. In these areas, I primarily deal with topics such as innovative products in energy markets, consumer awareness and acceptance of innovation, education for sustainable development, circular economy, and marketing and communication channels – especially social media.

Selected published works:

• Chawla Y., Chodak G. (2021) Social media marketing for businesses: organic promotions of web-links on Facebook. Journal of Business Research. Vol. 135, pp. 49-65. https://dx.doi.org/10.1016/j.jbusres.2021.06.020
• Chawla Y., Radziwon A., Scaringella L., Lazarczyk Carlson E., Greco M., Duarte Silveira P., Pestana de Aguiar E., Yang Shen Q., Will M., Kowalska-Pyzalska A. (2021) Predictors and outcomes of individual knowledge on early-stage pandemic: social media, information credibility, public opinion, and behavior in a large-scale global study. Information Processing & Management. Vol. 58, no. 6, art. 102720, pp. 1-15. https://dx.doi.org/10.1016/j.ipm.2021.102720
• Chawla Y., Shimpo F., Sokołowski M. (2022) Artificial intelligence and information management in the energy transition of India: lessons from the global IT heart. Digital Policy, Regulation and Governance. Vol. 24, no. 1, pp. 17-29. https://doi.org/10.1108/DPRG-05-2021-0062