Michał Paweł Michalak is an Assistant Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and Department of Geoinformatics and Applied Informatics. His research spans computational geometry in geological modeling, machine learning applications in Earth sciences, statistical epidemiology, and ecclesiological dynamics. Doctoral degree from University of Silesia in Katowice Developed GeoAnomalia software suite combining C++, R, and ParaView Created unbiased risk metrics (WCSIR) for infectious disease surveillance Research focuses on: Subsurface geological modeling using combinatorial algorithms and machine learning; Spatial epidemiology emphasizing testing heterogeneity bias; Ecclesiological dynamics analyzing factional theological interactions. His 2020/37/N/ST10/02504 grant project received 'very good' evaluation for developing angular distance metrics in geological contacts. Scientific contributions include: 2025 Solid Earth paper on fault-related structure detection 2025 Frontiers in Public Health work on global pandemic risk evaluation 2023 AGH Rector award recipient Developer of open-source geological analysis tools Collaboration network includes Harvard University, Technische Universität Freiberg, and University of Texas at Austin. Currently teaching GIS modeling, optimization methods, and geoinformatics systems. Maintains a personal website with open data access.
Maciej Thomas is an Assistant Professor at the Department of Environmental Technologies, Faculty of Environmental Engineering and Energy, Cracow University of Technology. He holds a PhD in environmental engineering and has been actively researching since 2016. His work focuses on wastewater treatment technologies, heavy metal remediation, and environmental sustainability. Key areas include advanced oxidation processes (e.g., Fenton reagent), adsorption using metal-organic frameworks, and resource recovery from industrial byproducts. Dr. Thomas has published 74 articles, achieving a Scopus h-index of 15 and a WoS h-index of 13. His research also addresses challenges in groundwater quality assessment, particulate matter prediction via machine learning, and environmental risk management. Education: PhD in Environmental Engineering (2016). His research integrates chemical engineering principles with ecological sustainability, emphasizing practical solutions for industrial wastewater and soil contamination. He has contributed to projects involving cerium-based oxidation, poultry manure utilization in soil reclamation, and PFAS contamination in marine ecosystems. His recent work highlights optimization studies for hybrid treatment processes (e.g., ferrate/trithiocarbonate systems) and recovery of rare earth elements from mine waters. Collaborations span environmental chemistry, toxicology, and geosciences. Notably, he explores the intersection of machine learning with environmental monitoring, enhancing predictive capabilities for air and water quality. Dr. Thomas leads interdisciplinary projects addressing both technical and societal dimensions of environmental challenges, with a focus on industrial waste valorization and sustainable resource management.
Jakub Nowosad is a researcher affiliated with Adam Mickiewicz University in Poznań and currently holding a prestigious Marie Skłodowska-Curie Actions Postdoctoral Fellowship at the University of Münster's Remote Sensing and Spatial Modeling group (August 2024-August 2026). His work bridges geography, computer science, and environmental science with a focus on spatial data analysis and machine learning applications. Nowosad's research interests center on spatial association methods, landscape metrics, information theory applications in geography, and spatial machine learning techniques. He has made significant contributions to developing and implementing computational methods for analyzing spatial patterns, particularly through R programming packages that address spatial autocorrelation challenges in machine learning. His work spans environmental monitoring, landscape ecology, and geospatial analysis with practical applications in understanding climate change impacts, forest fragmentation, and permafrost degradation. His publication record demonstrates a strong focus on methodological development in spatial data science, with numerous recent publications on spatial machine learning frameworks, computational landscape ecology, and specialized software tools. Nowosad's work shows a clear trajectory toward integrating advanced machine learning techniques with traditional spatial analysis methods to overcome limitations in spatial prediction and pattern recognition. Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) for the PRISM project (PReservation and RecognItion of Spatial patterns using Machine learning) Nowosad actively contributes to the open-source geospatial community through software development, including packages like spatialRF and contributions to spatial machine learning frameworks. His collaborative work spans multiple institutions including the University of Cincinnati, International Institute for Applied Systems Analysis, and various European research groups. He appears to be developing methodologies that will significantly impact how spatial patterns are recognized and preserved in environmental datasets, with applications ranging from Arctic landscape monitoring to forest conservation planning.
Piotr Demczuk is a Lecturer at the Department of Geomorphology and Paleogeography within the Institute of Earth and Environmental Sciences, Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He supervises the Adam Malicki Student Scientific Circle of Geographers and maintains regular academic consultations. His primary affiliations include UMCS as his main institution, with research spanning Polish Carpathians, Lublin Upland, and Arctic environments. Demczuk's research focuses on contemporary geomorphological processes, with emphasis on: Slope dynamics including soil erosion, flushing, and landslide mechanisms Geohazard assessment using GIS spatial analysis Rainfall thresholds for landslide initiation Long-term land use impact studies Arctic and mountain geomorphology His 14+ publications demonstrate strong trends in geohazard modeling, with 40% focusing on landslide prediction using statistical and machine learning methods, 30% examining soil erosion in agricultural catchments, and 20% addressing Arctic/polar geosystems. Recent works increasingly incorporate geospatial technologies and interdisciplinary approaches. Demczuk leads student research initiatives through the Adam Malicki Scientific Circle and maintains academic collaborations across Polish institutions, though no specific grants or laboratories are detailed in source materials.
Piotr Skurski serves as Professor and Head of the Department of Theoretical Chemistry at the Faculty of Chemistry, University of Gdańsk, while maintaining a concurrent Professor of Chemistry position at the Henry Eyring Center for Theoretical Chemistry, University of Utah since 2006. His leadership spans multiple research units including the Laboratory of Quantum Chemistry at UG since 2014. His educational background includes: MSc in Chemistry (1993) from University of Gdańsk under Prof. Wiesław Wiczek PhD in Chemical Sciences (1997) supervised by Prof. Maciej Gutowski (PNNL, USA) Habilitation (2001) leading to Professor title (2005) by Presidential decree Skurski's research pioneers quantum chemical investigations of molecular anions, superhalogens, and reaction mechanisms. His work spans from fundamental electron binding phenomena to applied materials design, particularly focusing on superhalogen anions with electron affinities exceeding 15 eV, DNA repair processes, and polymerization mechanisms. His molecular design innovations include synthons, peptide crosslinks, and superacids. Analysis of his 15 most recent publications reveals a dominant focus on superhalogen chemistry (7 articles), with significant contributions to molecular synthons (4 articles) and environmental applications like PFAS degradation (2 articles). His methodology consistently combines high-level quantum mechanical calculations with machine learning approaches for materials prediction. His accolades include: Karol Taylor Scientific Award (2021) Prime Minister's Award for habilitation work (2002) 15+ Rector's Awards from University of Gdańsk (1995-2023) Foundation for Polish Science Scholarship (1997) Skurski has supervised 10 doctoral students while securing major EU grants including MULTIPOL (FP6), PARYLENS (FP7), ENERLIQ (Polish-Swiss Program), and MAGENTA (Horizon 2020). His 198 publications with 5,371 citations (h-index 42) demonstrate substantial research impact. He leads the Laboratory of Quantum Chemistry at UG and maintains active collaborations with University of Utah's Henry Eyring Center.
Prof. Iwona Anusiewicz is a distinguished faculty member at the University of Gdańsk , affiliated with the Faculty of Chemistry and the Department of Theoretical Chemistry . Her research focuses on advanced quantum chemistry, superhalogen anions, superacids, and electron attachment mechanisms. Current Position: Professor, Department of Theoretical Chemistry, University of Gdańsk Research Themes: Quantum chemical modeling, superhalogen/superalkali systems, CO2 activation, and biomolecule-nanomaterial interactions Contact: iwona.anusiewicz@ug.edu.pl Her recent publications explore ambiphilic inorganic compounds, dative bonding in alkaline earth metal systems, and hybrid molecular simulation frameworks for biomolecule adsorption. Key subfields include anion stability , electron transfer , and acid-base catalysis . While no formal awards or student advisement details are listed, her work contributes significantly to theoretical and computational chemistry. For consultation hours: Fridays 11:00 AM - 1:00 PM (room B327).
Dr. Agnieszka Krzyżewska is an Assistant Professor in the Department of Hydrology and Climatology at the Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University in Lublin, Poland. She serves as the Faculty Coordinator for the Erasmus+ Programme and is a board member of the Polish Geophysical Society, Lublin Branch. Her research primarily focuses on: Heatwaves and cold spells in Poland and Europe Urban climate and air quality Bioclimatic conditions using the Universal Thermal Climate Index (UTCI) Climate change impacts on thermal conditions Applications of AI in weather and climate studies Dr. Krzyżewska's scholarly work demonstrates a strong emphasis on extreme weather events, particularly heatwaves, and their impacts on urban environments and human thermal comfort. Her research often centers on the Lublin region but extends to national and European scales. Recent publications indicate a growing interest in applying artificial intelligence tools to climate and weather analysis, reflecting the evolution of her research focus toward more interdisciplinary approaches. Her scientific contributions include numerous publications in reputable journals such as Atmosphere , Sustainability , Weather , and the International Journal of Biometeorology . She has developed significant expertise in analyzing thermal conditions using the Universal Thermal Climate Index and has conducted extensive research on heatwaves in Poland, particularly the significant events in 2015. Dr. Krzyżewska actively contributes to the academic community through her role in the Erasmus+ Programme, facilitating international academic exchanges, and through her membership in the Polish Geophysical Society where she serves on the Lublin Branch board. She maintains regular consultation hours for students on Tuesdays from 12:00-13:00 in room 111D at the Faculty of Earth Sciences and Spatial Management.
Wrocław University of Environmental and Life SciencesPoland
Jarosław Bosy is a Full Professor at the Institute of Geodesy and Geoinformatics at Wrocław University of Environmental and Life Sciences (WUELS), Poland. He served as Vice-Rector for Research and International Relations (2016–2020) and Rector (2020–2024). Since June 2024, he chairs the Committee on Geodesy of the Polish Academy of Sciences. He holds a PhD in Geodesy and Cartography (1996) and habilitation from AGH University of Science and Technology, Kraków. Awarded the Professor title in Technical Sciences by the Polish President in 2014. His research focuses on three core areas: GNSS-based reference frame realization at global/regional scales, GNSS meteorology (atmospheric state analysis via satellite signals), and GNSS applications in geodynamics. Key contributions include real-time troposphere delay models, integration of GNSS and numerical weather prediction (NWP), and development of the ASG-EUPOS positioning system in Poland. Bosy has authored 286 publications, supervised 23 PhD theses, and led 7 projects. His work bridges geodesy, meteorology, and geodynamics, with applications in climate monitoring, real-time positioning, and Earth system observation. He collaborates internationally, contributing to initiatives like GGOS and EPOS. His lab, GNSS&Meteo, develops services like real-time ZTD estimation and MSTID mitigation for precise positioning.
Grażyna Chaberek serves as an Assistant Professor in the Department of Spatial Management at the Faculty of Social Sciences, University of Gdańsk. With 16 years of academic experience and a PhD in Earth Sciences specializing in economic geography, she combines expertise as an economist and logistician to advance spatial planning research. Her work focuses on the economic dimensions of urban logistics infrastructure, particularly its role in supporting businesses and residents within sustainable mobility frameworks. Her research interests center on spatial planning, urban logistics, and sustainable mobility systems. Dr. Chaberek investigates how geospatial technologies (GIS, remote sensing) and synthetic indicators can optimize transportation networks and regional development. She examines economic geography applications in urban contexts, with particular attention to railway infrastructure feasibility, last-mile logistics solutions, and socio-economic sustainability metrics across diverse geographical settings including Poland, India, Ukraine, and Serbia. Recent publications (2019-2025) demonstrate consistent focus on sustainable urban transport, with key themes including zero-emission bus adoption, e-scooter energy demands, and railway network optimization. Her work integrates economic geography with practical spatial management challenges, employing geostatistical analysis and machine learning to address real-world urban mobility problems across international contexts. As an academic tutor since 2014, Dr. Chaberek implements Design Thinking techniques from Stanford University and Oxford/Cambridge tutoring methodologies. She mentors students in research skill development, personal branding, and goal-setting through positive psychology frameworks. Her educational approach emphasizes practical application of spatial management concepts through essay writing and developmental exercises. Dr. Chaberek collaborates with commercial entities and local government teams on market expertise development projects. Her work bridges academic research with practical spatial management applications, contributing to regional planning initiatives through interdisciplinary approaches that integrate economic, social, and environmental perspectives.
Leszek Jaroszewicz, PhD with habilitation, is a Professor at the Military University of Technology in Warsaw, Poland, specifically affiliated with the Faculty of Advanced Technologies and Chemistry and the Institute of Applied Physics. As a corresponding member of the Polish Academy of Sciences (PAS), he has established himself as a leading researcher in photonics and optical fiber technology. His academic career spans several decades, with continuous research activity evidenced by publications through 2025. Professor Jaroszewicz's research primarily focuses on photonics technology applications for sensor devices, with particular expertise in hybrid waveguide transducers employing liquid crystalline materials. His work encompasses new technologies for manufacturing monocrystals and glasses (especially oxide types), theoretical studies of complex semiconducting structures for electromagnetic radiation detectors, advanced fiber optics technologies including photonic crystal fiber elements, materials for hydrogen storage, and polarization problems in waveguide structures for sensor construction. His research area is formally recognized as materials engineering (100% ME). Analysis of his recent publications reveals a strong trend toward practical applications of optical fiber technologies in sensing systems, particularly rotational seismology and refractive index sensing. His work increasingly integrates liquid crystal technologies with optical fibers, nanomaterials (like Fe 3 O 4 nanoparticles), and computational methods. The research spans fundamental physics of light propagation through applied engineering of sensor devices for diverse applications from seismic monitoring to food safety inspection. His significant recognition includes being elected as a Corresponding Member of the Polish Academy of Sciences, a prestigious honor in Polish academia. His bibliometric indicators demonstrate substantial scholarly impact with 373 publications, an h-index of 24 (Scopus) and 22 (Web of Science), total impact factor of 352.125, and a ministerial score of 8,412. Professor Jaroszewicz has supervised 13 promoted theses, indicating his active role in mentoring the next generation of researchers. His research has been supported by at least 10 projects and has resulted in 4 patents, demonstrating both academic and practical impact of his work. His research group appears to focus on optical instrumentation development, particularly for specialized sensing applications. The research environment led by Professor Jaroszewicz includes advanced laboratories for optical fiber technology, liquid crystal device fabrication, and sensor testing. His team appears to collaborate across disciplines, connecting physics, materials science, and engineering to develop innovative sensing solutions. Current work suggests ongoing development of fiber-optic rotational seismographs and other specialized optical sensors for both scientific and practical applications.
Institute of Dendrology, Polish Academy of SciencesPoland
Ashraf A. Emam is a distinguished researcher and academic affiliated with Prince Sattam bin Abdulaziz University, specializing in earth sciences with a focus on Egypt's Southeastern Desert. His work integrates geological field studies with advanced remote sensing techniques to analyze mineral deposits, structural formations, and climate change impacts. His research spans geochemistry , petrogenesis , and sedimentological evolution , with significant contributions to understanding gold deposits, ophiolitic rock systems, and rare-metal granites. Emam pioneers methodologies like SAM-HIT for hyperspectral data transformation, bridging computational science and geology to decode Earth's processes through calcareous nannofossil assemblages and paleo-stress analysis. Publication trends reveal a strategic shift toward interdisciplinary remote sensing applications, particularly in converting multispectral to hyperspectral imagery for enhanced geological mapping. His work consistently targets high-impact journals like Lithos and Remote Sensing , emphasizing practical solutions for mineral exploration and climate reconstruction in arid regions. Emam secures substantial funding from elite institutions including the Medical Research Council, National Institutes of Health, and King Abdullah University of Science and Technology. His 97% co-authorship rate reflects deep international collaboration, while mentorship in earth sciences drives next-generation research despite no named students being publicly listed.
Ewa Deelman is a Research Professor in the Department of Computer Science at the University of Southern California (USC) and a Principal Scientist at the USC Information Sciences Institute. She also directs Science Automation Technologies, a research group focused on automating scientific processes through advanced workflow management solutions. Her work is foundational in enabling complex scientific computations across distributed computing environments. Deelman's research centers on scientific workflow automation, including resource provisioning, data management, and job scheduling in distributed systems. She pioneered workflow planning for distributed computations and leads the development of the Pegasus Workflow Management System. Current interests extend to anomaly detection using machine learning, quantum-classical hybrid workflows, and edge-to-cloud continuum integration. Her group's work bridges theoretical advances with practical tools for domain sciences like seismology and molecular dynamics. Analysis of her recent publications reveals a strong emphasis on enhancing workflow robustness through machine learning and emerging technologies. Key trends include LLM-based scheduling optimization, pandemic-driven resilience studies, and quantum workflow integration. Her work increasingly addresses cross-cutting challenges in data-intensive science, particularly in managing computational workflows across heterogeneous infrastructures from edge devices to cloud platforms. As Director of Science Automation Technologies, Deelman oversees a team that has made Pegasus a cornerstone tool in scientific computing. The system handles complex workflow orchestration for projects like CyberShake (seismic hazard analysis) and molecular dynamics simulations, automating data movement, execution, and error recovery across campus clusters, supercomputers, and cloud resources.
Piotr Michorczyk serves as Professor and Dean of the Faculty of Chemical Engineering and Technology at Tadeusz Kościuszko Cracow University of Technology, where he leads the Department of Organic Chemistry and Technology. His academic career has been deeply rooted at this institution, having completed his MSc (2000), PhD (2005), and habilitation (2013) at the same university. His educational background includes a Master of Science in Light Organic Technology (2000), Doctorate in Chemical Technology (2005), and Habilitation in Chemical Technology (2013), all from Tadeusz Kościuszko Cracow University of Technology. His international research experience includes internships at the Institute of Catalysis and Petrochemistry CSIC in Spain (2011), Jerzy Haber Institute of Catalysis in Poland, and participation in a NATO Advanced Study Institute in Portugal (2003). Professor Michorczyk's research focuses on catalytic processing of hydrocarbons and alcohols, with particular emphasis on CO 2 utilization in chemical processes and conversion of low molecular weight alkanes. His work explores synthesis and properties of mesoporous silicas (MCM-41, SBA-15, SBA-3), structural nanoreplication for catalytic purposes, and pioneering applications of 3D printing in catalysis. His research bridges fundamental catalyst design with practical industrial applications, particularly in propane dehydrogenation and methane conversion processes. His extensive publication record shows consistent focus on catalytic materials development, with recent work (2020-2025) demonstrating increasing emphasis on 3D printing applications for catalyst design, optimization of methane conversion processes, and development of environmentally friendly chemical processes. His work spans fundamental catalyst characterization to practical industrial applications, with strong connections to environmental sustainability through CO 2 utilization. Among his notable recognitions are the First Degree Individual Award from the Rector of Cracow University of Technology for scientific achievements (2013), an award for the highest number of citations (2014), and the prestigious First Degree Award from the Minister of Science and Higher Education (2014). These awards reflect both the quality and impact of his research contributions to the field of catalysis. Professor Michorczyk has successfully led multiple significant research projects funded by Polish and EU grants, including several National Science Center grants and a PBS grant for developing eco-friendly cosmetics. His grant portfolio demonstrates consistent research productivity from 2003 through 2020, with projects addressing propane dehydrogenation, structural nanoreplication, and 3D printing applications in catalysis. His teaching responsibilities include courses on heterogeneous catalysis, industrial catalysis, and modern nanostructured materials. His laboratory work appears to focus on advanced catalyst development, particularly exploring the intersection of traditional catalytic materials with innovative manufacturing techniques like 3D printing. His research team likely works on catalyst synthesis, characterization, and testing, with strong connections to industrial applications in chemical processing and environmental technologies.
Institute of Dendrology, Polish Academy of SciencesPoland
Onisimo Mutanga is a pioneering Professor at the University of KwaZulu-Natal's Earth and Environmental Sciences program, with affiliations at the Faculty of Geo-Information Science and Earth Observation (ITC) in the Netherlands. His interdisciplinary research integrates remote sensing technologies with ecological and environmental science to address critical challenges in African landscapes. Education: Affiliated with institutions including University of the Western Cape and ITC Research Locations: South Africa, Zimbabwe, Tanzania, Kenya, Rwanda, and multi-country collaborations His research focuses on remote sensing applications , with specific expertise in: Ecosystem health assessment using UAV-derived multi-spectral data Thermal comfort modeling in urban environments Crop stress monitoring through hyperspectral imaging Machine learning integration with environmental data analysis Water quality assessment in sub-Saharan lakes Publications demonstrate methodological innovation through hierarchical Bayesian geostatistics and ensemble statistical learning. Key journals include ISPRS Journal , Remote Sensing , and Physics and Chemistry of the Earth . Scientific Sponsorship: Funded by National Research Foundation, Japan Society for the Promotion of Science, NIH, and MRC Academic Influence: 326 publications, 10,938 citations, H-index 49, with an average impact factor of 7.0
Institute of Dendrology, Polish Academy of SciencesPoland
Timothy I. Dube is a prominent academic researcher in environmental science with recent affiliations at the University of the Western Cape, University of KwaZulu-Natal, University of Limpopo, and the University of Zimbabwe. His work focuses on land use, water resources, and ecosystem dynamics in semi-arid regions of Africa, utilizing remote sensing and geospatial techniques to address critical environmental challenges. His research centers on advanced methodologies including multivariate analysis and geospatial modeling to investigate wetland vulnerability, soil water dynamics, and impacts of illegal mining. Key contributions include developing frameworks for wetland assessment in sub-Saharan Africa and leveraging machine learning for crop stress monitoring, with growing emphasis on cloud-based platforms like Google Earth Engine for environmental management. Recent publications (2015-2024) reveal a strong trend toward remote sensing applications for African environmental monitoring, particularly in water resource management and climate impact assessment. His work consistently addresses regional challenges through interdisciplinary approaches combining earth observation data with ecological modeling. Dube's research has been supported by major sponsors including the National Research Foundation (South Africa) and the Japan Society for the Promotion of Science, reflecting its policy relevance and scientific significance in advancing sustainable environmental practices across sub-Saharan Africa.
