Bydgoszcz University of Science and TechnologyPoland
Tomasz Stefan Wiśniewski is a Professor at the Division of Thermodynamics within the Institute of Heat Engineering (ITC) at Warsaw University of Technology. His research focuses on heat transfer, thermodynamics, infrared thermography, and thermal property measurements of materials. He teaches courses on Statistical and Nonequilibrium Thermodynamics and Energy Storage . Research Trends: His publications emphasize composite materials, thermal conductivity modeling, interfacial thermal resistance, and advanced measurement techniques like flash method and infrared thermography. Key subfields include oscillatory chemical reactions, thermo-rheological properties of smart materials, and biomedical thermodynamics. Roles: Head of Scientific Council for Environmental Engineering, Mining, and Power Engineering at Warsaw University of Technology Head of Division of Thermodynamics at ITC Laboratory Affiliation: Division of Thermodynamics at Warsaw University of Technology's Institute of Heat Engineering.
SWPS University of Social Sciences and HumanitiesPoland
Dr. Joanna Gutral-Sutherland is an Assistant Professor at SWPS University , affiliated with the Faculty of Design in Warsaw and the Department of Social Applications of New Technologies . She also contributes to the Centre for Climate Action and Social Transformations (4CAST) . Her research focuses on: Social expectations and psychological needs Personality trait development across the lifespan Climate change impact on well-being Mental health stigma and prevention Psychoeducation and cognitive-behavioral therapy Self-concept and temporal comparisons Scientific recognitions include: Professor Zbigniew Pietrasiński Award (2016) Podcast of the Year 2022 for "Gutral Gada" Vivelo Top Creators 2024 She teaches statistics, psychological research methodology, and personal skills development at SWPS University, while providing individual cognitive-behavioral psychotherapy and coordinating UX specialization programs.
Wrocław University of Science and TechnologyPoland
Maciej Zięba is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically within the Department of Artificial Intelligence . His work spans machine learning, deep learning, and computer vision, with a focus on hyperspectral imaging, autonomous systems, and 3D modeling. Recent research includes uncertainty-aware sensor deployment for autonomous vehicles, low-light image enhancement algorithms, and probabilistic regression frameworks for tabular data. He has co-authored publications on flow-based models, hypernetworks, and neural radiance fields (NeRF) applied to 3D face rendering. Contact: maciej.zieba@pwr.edu.pl
Konrad Czernichowski is an Assistant Professor at the Department of World Economy and European Integration, Faculty of Economics, Maria Curie-Skłodowska University in Lublin, Poland. He also serves as a Visiting Professor at the Department of Economics, Mathematics and Statistics, Faculty of Commerce, Jordan University College in Morogoro, Tanzania. His academic career includes positions at the University of Wrocław and extensive research on African economic development. Dr. Czernichowski's research focuses on African economic development , particularly in East Africa and Tanzania. His expertise spans economic integration, banking systems, labor markets, and development challenges in Sub-Saharan Africa. He has conducted extensive research on the East African Community's integration processes, the impact of global crises on African economies, and regional monetary cooperation. His 18 publications demonstrate consistent research output with a focus on practical economic challenges facing African nations. The research shows a clear trajectory from theoretical integration models toward applied policy analysis, particularly regarding the East African Community's development. His work bridges academic research with practical policy implications for developing economies. Member of editorial board, Journal of Economic Integration (2024-2025) Member of board, Polish African Studies Society (since 2021) Member of editorial board, Afryka journal (since 2021) Member of editorial board, Business Education Journal (since 2022) Dr. Czernichowski actively engages with international academic communities through his editorial roles and maintains research connections with African institutions. His work with the 'Maitri' movement center in Lublin (2014-2021) demonstrates practical engagement with development issues. His multilingual abilities (Polish, English, French, German, and Swahili) facilitate direct research engagement across multiple African contexts.
Ella Marlenivna Libanova is a Ukrainian socio-economist and demographer, serving as Professor at the Department of Statistics and Demography of the Economic Faculty of Taras Shevchenko National University of Kyiv. She is also Director of the M. V. Ptukha Institute of Demography and Social Research of the National Academy of Sciences of Ukraine and Academician-Secretary of the Department of Economics of the National Academy of Sciences of Ukraine. As the first woman in the history of the NASU to be a member of its Presidium, she has made significant contributions to Ukrainian demography and labor economics. Her educational background includes: Graduated from the D. S. Korotchenko Kyiv Institute of National Economy (1971) PhD in Statistics (1977) Doctor of Economics (1992) Doctor of Economics (2021, on Poverty of the Population of Ukraine) Professor Libanova is a leading expert in labor economics and demography, with research focusing on population poverty, human development, demographic crisis in Ukraine, labor market transformations, and socio-economic assessment of life expectancy. Her work has been instrumental in developing methodologies for measuring human development at the regional level, which has been adopted as official methodology by the State Statistics Service of Ukraine for annual calculations. Her research output shows a consistent focus on demographic challenges facing Ukraine, with particular attention to mortality rates, birth rates, and the impact of socio-economic transformations on population dynamics. She has also made significant contributions to understanding poverty, social stratification, and the formation of the middle class in Ukraine. Her scientific awards include: Honored Economist of Ukraine (2002) Order of Princess Olga I, II, and III degrees Honorary Certificate of the Cabinet of Ministers of Ukraine (2003) Award of the National Academy of Sciences of Ukraine named after M.I. Tugan-Baranovsky (2011) All-Ukrainian Award Woman of the III Millennium (2012) Professor Libanova has supervised 2 doctoral students and 14 PhD students in economics. She has been involved in numerous research grants, particularly those related to demographic studies, human development, and socio-economic transformations in Ukraine. She has served as scientific consultant to President Leonid Kuchma (2000-2005) and is currently a member of the Council on Economic Development of Ukraine, a temporary consultative-advisory body of the Cabinet of Ministers of Ukraine since April 2020. She leads the M. V. Ptukha Institute of Demography and Social Research, which conducts comprehensive demographic research on Ukraine's population. She is also actively involved in international collaborations, serving as an expert for the European Commission and World Economic Forum since 2012, and is a member of several international organizations including the International Union for the Scientific Study of Population (IUSSP).
Bydgoszcz University of Science and TechnologyPoland
Adam Woźniak is a Professor and Vice-Rector for Development at Warsaw University of Technology (WUT), holding positions at the Faculty of Mechatronics and the Institute of Metrology and Biomedical Engineering. He earned a PhD in 2002, D.Sc. (habilitation) in 2011, and was promoted to full professor in 2017. His research focuses on advanced geometrical measurement techniques, coordinate metrology, quality engineering, and reliability of mechatronic systems. He has authored 2 books and over 130 scientific publications, including work on probing accuracy, X-ray CT applications, and dynamic error analysis in manufacturing systems. Notably, he served as Director of the Institute of Metrology and Biomedical Engineering (2012–2020) and later as Dean of the Faculty of Mechatronics (2020). He received the Polish Prime Minister’s Prize for Scientific Achievements (2012) and multiple scholarships from the Foundation for Polish Science. Education: PhD (2002), D.Sc. (2011), Warsaw University of Technology; Visiting Professor at École Polytechnique de Montréal (2005–2006). Research interests include coordinate measuring machine (CMM) performance, probing system accuracy, and industrial CT applications. His work addresses dynamic error identification, probe error compensation, and precision measurement techniques. Recent projects involve high-density point cloud correction, scanning probe validation, and pediatric growth measurement systems. His articles analyze topics like probe reliability, CNC machine tool errors, and X-ray CT threshold optimization. Awards also include recognition for leadership in standardization bodies, including roles in Poland’s Council for Metrology and Standardization. He has supervised 6 PhD students and numerous master’s candidates, contributing to over a dozen funded research projects. His lab, the Virtual Manufacturing Research Laboratory, integrates metrology, mechatronics, and biomedical engineering for advanced measurement solutions.
Bydgoszcz University of Science and TechnologyPoland
Rafał Biedrzycki is an Assistant Professor at The Institute of Computer Science within Warsaw University of Technology's Faculty of Electronics and Information Technology. His research focuses on optimization algorithms, evolutionary computation, and machine learning applications. He holds a PhD in Information Science (2009) and a D.Sc. (2024). Key research interests include evolutionary algorithms (e.g., Differential Evolution, CMA-ES), optimization techniques for real-world problems (e.g., compressor scheduling, optical networks), and algorithm benchmarking. He has contributed to improving constraint-handling methods and hybrid algorithm designs. Received team awards for scientific achievements from Warsaw University of Technology (2019, 2023) and teaching excellence (2021, 2024). Active in interdisciplinary projects, including the DAFNE initiative for data fusion systems (2010-2011). Supervises research in optimization, machine learning, and computational electromagnetics. His work bridges theoretical algorithm development with practical applications in engineering and data analysis. Recent efforts include analysis of CEC competition algorithms and parameter-tuning methodologies.
Professor Tomasz Kapitaniak is a distinguished academic in the field of nonlinear dynamics and theoretical mechanics. He serves as a Professor of Theoretical and Applied Mechanics and Head of the Division of Dynamics at the Faculty of Mechanical Engineering, Technical University of Lodz, Poland. His career spans over three decades at the university, where he has made significant contributions to the understanding of nonlinear systems, chaos theory, and mechanical oscillations. Professor Kapitaniak holds advanced degrees in both mechanics and applied mathematics from the Technical University of Lodz and the University of Lodz. His educational background includes: M.Sc. in mechanics, Faculty of Mechanical Engineering, Technical University of Lodz (1982) M.Sc. in applied mathematics, Faculty of Mathematics, Physics and Chemistry, University of Lodz (1985) Ph.D. in mechanics, Faculty of Mechanical Engineering, Technical University of Lodz (1985) D.Sc. in mechanics, Faculty of Mechanical Engineering, Technical University of Lodz (1988) Professor of technical science, title given by the President of Poland (1995) His research focuses on nonlinear dynamics, with particular emphasis on mechanical oscillations, stability, bifurcations and chaos, stochastic dynamics, and applications of nonlinear dynamics in mechanical engineering. Professor Kapitaniak is renowned for his work on the development of methods for controlling chaos without feedback, identification of new types of bifurcations, synchronization mechanisms in coupled mechanical oscillators, and explaining the origin of randomness in mechanical systems. His research has evolved from fundamental theoretical work to increasingly applied studies involving complex networks, biological systems, and engineering applications. Professor Kapitaniak has published over 300 scientific papers in renowned journals, cited over 8,000 times. His work exhibits a consistent focus on understanding complex nonlinear phenomena across various physical systems. The trend in his recent publications shows continued exploration of synchronization phenomena, extreme events in dynamical systems, and applications of nonlinear dynamics to biological, mechanical, and physical systems. His most recent work demonstrates a growing interest in multistability, chimera states, and the prediction of tipping phenomena in complex systems. Among his notable scientific achievements and distinctions are: Election as a member of the Polish Academy of Sciences (corresponding member in 2013, ordinary member in 2019) Election to Academia Europaea in 2021 Honorary doctorates from Saratov State University (Russia, 2001) and Lublin University of Technology (Poland, 2014) Multiple prestigious fellowships including the British Council Fellowship (1989), King Abdul Aziz Award Fellowship (1990), and Fulbright Fellowship (1997) Editorial roles including Associate editor of Chaos, Solitons and Fractals since 1990 and member of editorial boards of several other prestigious journals Throughout his career, Professor Kapitaniak has been actively involved in mentoring the next generation of researchers, having supervised numerous PhD students including Jerzy Wojewoda, Anton van Wyk, Barbara Błażejczyk-Okolewska, Andrzej Stefański, Andrzej Kozłowski, and Przemysław Szumiński. He has secured significant research funding from various national and international sources including the Ministry of Science and Higher Education (Poland), Deutscher Akademischer Austauschdienst, The Royal Society of London, and others. His research team has maintained strong international collaborations with institutions worldwide, including universities in the United States, United Kingdom, Germany, Brazil, Russia, and Ukraine. He leads the Division of Dynamics at the Technical University of Lodz, which serves as a hub for research in nonlinear dynamics, mechanical oscillations, and related fields. The division maintains strong international collaborations with institutions worldwide and continues to produce cutting-edge research in the field of nonlinear dynamics and its applications.
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.
Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.
Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.
Dr. Wojciech Kosior is a researcher at the Department of Comparative Civilization Studies within the Centre for Comparative Studies of Civilisations at Jagiellonian University, Poland. He holds degrees in Jewish Studies from the Paideia Institute, Religious Studies, and Psychology from Jagiellonian University. Education: Jewish Studies (Paideia Institute) Religious Studies (Jagiellonian University) Psychology (Jagiellonian University) His research focuses on angelology, demonology, and apotropaism, cognitive science of religion, and digital humanities applications in religious text analysis. He specializes in Hebrew Bible, early rabbinic literature (Talmuds, Midrashes), Targums, Dead Sea Scrolls, and apocryphal texts. His work often intersects ancient religious traditions with modern quantitative and qualitative analysis. Key trends in his recent publications include systematic databases for supernatural entities (Elyonim veTachtonim project), cognitive theory of religion applications, and digital humanities tools in Jewish and Biblical studies. His work has been supported by grants from the National Science Centre (2018/31/D/HS1/00513) and Ministry of Science and Higher Education initiatives. While he has not explicitly listed scientific awards, his research has been funded through competitive grants. He manages significant projects like the Elyonim veTachtonim database and co-edits comparative religious studies outputs.
Dr. Krystian Barzykowski is a Professor at the Department of General Psychology within the Faculty of Philosophy at Jagiellonian University in Kraków, Poland. He currently serves as Head of the Applied Memory Research Laboratory and is a Member of the Research Ethics Committee. He also holds the position of Proxy of the Dean of the Faculty of Philosophy for quality assessment and is a Member of the Board of the Krakow Branch of the Polish Psychological Society. Barzykowski obtained his doctorate in 2014 from Jagiellonian University and has since established himself as a leading researcher in cognitive experimental psychology with a focus on memory processes. His research spans multiple areas of cognitive psychology, particularly examining the mechanisms of autobiographical and episodic memory, involuntary cognitive processes, and the intriguing phenomenon of déjà vu. His work uniquely integrates cross-cultural perspectives with experimental cognitive psychology, exploring how multiculturalism and multilingualism affect psychological assessment and memory processes. His research program demonstrates a sophisticated approach to understanding the cognitive mechanisms behind memory retrieval, particularly focusing on how working memory influences involuntary autobiographical memories. Barzykowski's work on mind-wandering and thoughts detached from tasks represents a significant contribution to understanding spontaneous cognition. His recent Marie Skłodowska-Curie Postdoctoral Fellowship project 'SpontaneousPAST' specifically investigates how déjà vu can illuminate spontaneous memory retrieval processes. Barzykowski's extensive publication record shows a consistent focus on memory mechanisms while increasingly incorporating cross-cultural dimensions. His recent work has expanded to address timely societal issues including the psychological impact of the pandemic, refugee integration in educational settings, and the development of cultural intelligence among healthcare professionals. The interdisciplinary nature of his research connects cognitive psychology with educational, clinical, and social applications. Marie Skłodowska-Curie Postdoctoral Fellowship (2023) Andrzej Malewski Award from the Polish Academy of Sciences (2020) Mieczysław Bekker Scholarship from the National Agency for Academic Exchange (2020) Ministry of Science and Higher Education Scholarship for Outstanding Young Researchers (2018-2020) Multiple French Government Scholarships (2019-2021) International European Roma Spirit Award Finalist (2016) Barzykowski has successfully led multiple significant research projects funded by prestigious organizations including the National Science Centre, the Ministry of Science and Higher Education, the Stefan Batory Foundation, and the European Commission. His project portfolio includes 'Analysis of the role of working memory in the formation of involuntary autobiographical memories' (2020-2025), 'Wandering-mind: Advances in involuntary past and future thinking research' (2020), and 'The Role of Cognitive Inhibition in Involuntary Thinking about the Past and Future' (2016-2019). He is particularly noted for originating and co-authoring the first Polish textbook on psychological assessment in multicultural and multilingual contexts, which received a recommendation from the Council of Europe. At Jagiellonian University, Barzykowski leads the Applied Memory Research Laboratory, which focuses on experimental investigations of memory processes, particularly examining involuntary and voluntary memory retrieval mechanisms. His laboratory work integrates sophisticated experimental designs with cross-cultural perspectives, creating a unique research environment that bridges cognitive psychology with multicultural considerations. The laboratory has become a significant center for memory research in Poland, attracting international collaborators and contributing to major multinational research initiatives.
Somnath Ghosh is the Michael G. Callas Chair Professor at Johns Hopkins University, holding joint appointments in the Departments of Civil & Systems Engineering, Mechanical Engineering, and Materials Science & Engineering. He directs the Computational Mechanics Research Laboratory (CMRL) and founded the Center for Integrated Structure-Materials Modeling and Simulations (CISMMS). His research focuses on multiscale computational mechanics, materials science, and integrated computational materials engineering (ICME). Key areas include additive manufacturing, fatigue and fracture mechanics, machine learning, and uncertainty quantification. Education includes a B.Tech. from IIT Kharagpur, M.S. from Cornell University, and Ph.D. from the University of Michigan. Ghosh has led major initiatives like NASA’s Space Technology Research Institute for Additive Manufacturing (IMQCAM) and the Air Force-funded Center of Excellence in Integrated Materials Modeling (CEIMM). He has authored over 300 peer-reviewed publications, three books, and is a Fellow of multiple societies, including the AAAS, ASME, and TMS. Award highlights include the Theodore von Karman Medal (2025), J.N. Reddy Medal (2024), and Nathan M. Newmark Medal (2013). His work bridges theory and industry applications in aerospace, automotive, and defense sectors. Labs under his leadership (CMRL and CISMMS) develop digital twins and advanced modeling tools for materials qualification and design.
John Hughes, PhD, is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. With nearly 30 years of experience in higher education, he has held positions at institutions including Frostburg State University, the University of Minnesota, and Pennsylvania State University. His methodological research focuses on statistical models for dependent data, Bayesian methods, and spatial and spatiotemporal analysis. He has developed numerous software packages for R and Perl, including copCAR , ngspatial , and krippendorffsalpha . Dr. Hughes' interdisciplinary work spans environmental health, bioimaging, vaccine hesitancy, and spatial epidemiology of HPV-related cancers. He has consulted for organizations such as the Courage Kenny Research Center and Temple University. His education includes a PhD in Statistics from Penn State University and an MS in Applied Computer Science from Frostburg State University. His research emphasizes statistical computing and the application of advanced models to health data. Recent work includes methodologies for agreement coefficients, environmental noise measurement, and spatial analysis of vaccination refusal patterns. Dr. Hughes teaches courses in biostatistics, data science, and programming, reflecting his dual role as a teacher-scholar. Professional contributions include software development, collaborative research projects, and academic leadership. His work bridges computational innovation and real-world health challenges, positioning him as a key figure in modern biostatistical research.
