Dr. Anna Bendrat is an Assistant Professor at the Department of English and American Studies, Maria Curie-Skłodowska University, Poland. A scholar in Rhetoric, American Drama, and Cognitive Poetics, she is actively involved in interdisciplinary research, particularly through the Cognitive Studies Team and the International Federation for Theatre Research (IFTR). Her research interests span Rhetoric, Social Communication, Identity Studies, New Media, and Affect Studies. She has led the EU Erasmus+ project MigraMedia (2023–2026) and co-founded the journal New Horizons in English Studies . Her work bridges academic rigor with public engagement, including organizing the Media in America, America in Media conference series. Anna’s recent publications interrogate urban trauma in Pulitzer-winning drama, AI’s role in reconstructing memory, and cognitive texture in multi-perspective narratives. Her scholarly activities are enriched by editorial roles in Res Rhetorica and New Horizons in English Studies , alongside grants for research in New York and Poland. She mentors the UMCS Philology Student Circle, promoting anglophone cultures, and maintains a focus on Polish-American academic collaborations. Her research team explores digital rhetoric, migration narratives, and the intersection of literature with cognitive theory.
Konrad Kowalczyk is an Associate Professor at AGH University of Science and Technology in Krakow, Poland, where he heads the Signal Processing Group within the Faculty of Computer Science, Electronics and Telecommunications. With extensive international experience from institutions including Queen's University Belfast, Stanford University, and Fraunhofer Institute, he has established himself as a leading researcher in audio and speech signal processing. His academic journey includes B.Eng. and M.Sc. degrees from AGH University (2005), a Ph.D. from Queen's University Belfast (2009), and a Habilitation in ICT from AGH University (2020). B.Eng. and M.Sc. in Electronics and Telecommunications, AGH University of Krakow (2005) Ph.D. in Electronics, Queen's University Belfast, UK (2009) Habilitation (D.Sc.) in Information and Communication Technology, AGH University of Krakow (2020) Kowalczyk's research spans multiple cutting-edge areas in audio processing, with particular focus on speech and audio signal processing enhanced by machine learning techniques. His work integrates deep neural networks with traditional signal processing methods to address challenges in array signal processing , speech enhancement , and speaker recognition . The research group he leads explores innovative applications in distributed signal processing for IoT , acoustic event detection , and spatial audio rendering , bridging theoretical advances with practical implementations. His recent publications demonstrate a clear trend toward integrating deep learning with traditional signal processing techniques, particularly in speaker diarization, source separation, and robust speech recognition. The research increasingly focuses on real-world applications requiring reverberation-robust processing , distributed microphone array systems , and end-to-end neural architectures that can operate in challenging acoustic environments. There's a noticeable shift toward more complex, integrated systems that combine multiple signal processing tasks. Stanislaw Staszic Medal for best graduate of AGH (2005) IEEE Best Student Paper Contest finalist (2007) AES Student Technical Paper Award winner (2008) Best Student Paper Award at IWAENC conference (2014) Best Paper Awards at IEEE SPA conferences (2016, 2019) Polish Ministry of Science Scholarship for Distinguished Young Scientists (2016-2019) Prime Minister Award for outstanding scientific achievements (2020) As Principal Investigator, Kowalczyk leads multiple significant research projects including "Acoustic Intelligence" (2024-2028) funded by National Science Center, and "Deep extraction for robust speech recognition" (2023-2028). He has successfully secured funding from prestigious programs including First TEAM from the Foundation for Polish Science, and EU FP7 projects. His research group actively supervises Ph.D., M.Sc., and B.Eng. students, with strong connections to international institutions including Aalto University and IEEE Signal Processing Society. The research output includes numerous journal publications, conference papers, patents, and software implementations that have advanced the field of audio signal processing. Kowalczyk leads the Signal Processing Group at AGH University, which focuses on developing innovative solutions for speech and audio processing challenges. The group maintains strong collaborations with international institutions including Aalto University (Finland), and participates in European research initiatives. Their work spans theoretical development through practical implementation, with applications ranging from medical voice assistants to distributed acoustic sensor networks.
Dr. Magdalena Ślusarz serves as an Adjunct Professor in the Department of Theoretical Chemistry at the Faculty of Chemistry, University of Gdańsk. Her research focuses on computational approaches to structural biology problems, particularly in viral immunomodulation and receptor-ligand interactions. Her research interests span computational chemistry , molecular modeling of protein structures , and structural analysis of viral immune evasion mechanisms . She specializes in applying molecular dynamics simulations, NMR spectroscopy data interpretation, and UNRES force field methodologies to study herpesvirus proteins (particularly UL49.5), opioid receptor interactions, and vasopressin receptor systems. Her work bridges theoretical chemistry with biomedical applications including viral pathogenesis and neuropharmacology. Analysis of her recent publications reveals a strong focus on herpesvirus immunomodulation mechanisms (2023-2024), particularly how viral proteins hijack cellular degradation pathways. Earlier work demonstrates expertise in computational structural biology methodologies including UNRES force field development for membrane proteins (2019) and protein structure prediction (2016-2020). Her research consistently applies molecular modeling to solve biomedical problems ranging from viral immune evasion to neuropharmacology. Dr. Ślusarz maintains active research in the Laboratory of Molecular Modeling at the University of Gdańsk, where she applies computational approaches to protein structure-function relationships. Her work involves collaborations across international research teams, particularly evident in large-scale projects like the WeFold consortium for protein structure prediction.
Włodzimierz Kasprzak is a Professor at the Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology. His research focuses on computer vision, robotics, human-computer interaction, and machine learning. He has contributed to advancements in human action classification, skeleton-based feature analysis, and multimodal interface design. Research Highlights: Development of lightweight classification models for human actions in video using skeleton-based features. Advances in multi-stream fusion techniques for image and video analysis. Design of embodied agent systems for cybersecurity event visualization and control. Awards and Recognition: 2024: Individual First Class Rector's Award for Scientific Achievements (2022-2023) 2021: Medal of the Commission of National Education 2011: Golden Cross of Merit His work integrates theoretical contributions with practical applications in robotics, surveillance systems, and human-centered technologies.
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.
Professor Jacek Banasiak holds a prestigious DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria, Department of Mathematics and Applied Mathematics. He also maintains strong academic ties with Lodz University of Technology in Poland where he serves as a research professor in the Department of Mathematical Modeling. His career spans several decades with extensive contributions to mathematical modeling, particularly in population dynamics, fragmentation-coagulation processes, and epidemiological modeling. Professor Banasiak's research interests center on mathematical modeling of biological and physical processes, with particular expertise in singular perturbation theory, semigroup theory, and transport equations on networks. His work bridges theoretical mathematics with practical applications in epidemiology, ecology, and population biology. He has developed sophisticated mathematical frameworks for understanding fragmentation-coagulation phenomena, malaria transmission dynamics, and savanna ecosystem modeling. His publication record shows a consistent trajectory of high-impact research, with recent work focusing on climate-based malaria models, multiscale epidemiological systems, and mathematical analysis of growth-fragmentation equations. His publications appear in top-tier journals across mathematical analysis, epidemiology, and mathematical biology fields, demonstrating the interdisciplinary nature of his work. DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering Author of numerous influential publications spanning from 1984 to 2025 Editor of special issues and author of several books including 'Introduction to Mathematical Methods in Population Theory' (2025) Professor Banasiak has supervised over 15 PhD students, many of whom have gone on to successful academic careers. His mentoring spans topics including fragmentation-coagulation with transport effects, telegraph systems on networks, and mathematical modeling of malaria transmission. His research has attracted significant funding, particularly through his SARChI Chair position which supports advanced mathematical research in biosciences and bioengineering.
Daria Hemmerling , PhD, Eng., is a Lecturer at the Department of Metrology and Electronics under the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. Her research focuses on the intersection of biomedical engineering, voice analysis, and artificial intelligence, particularly for neurological and cardiovascular disease diagnostics. Research Interests : Applying mixed reality and AI for Parkinson’s disease assessment Voice/speech biomarkers for heart failure and neurodegenerative disorders Deep learning techniques in medical imaging (e.g., skull segmentation/reconstruction) Haptic feedback systems for multisensory interaction Simulation training in electrophysiology education Unsupervised learning and modality translation in biomedical signal processing Scientific Trends : Her recent work emphasizes multimodal diagnostic systems integrating voice analysis, VR/MR visualization, and deep learning. She explores explainable AI for medical classification tasks, data augmentation strategies, and innovative haptic/gamification interfaces.
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.
Marek Wiśniewski is a Lecturer at the University of Maria Curie-Skłodowska , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Cybersecurity and Computational Linguistics . His research focuses on Information and Communication Technology (ICT) , particularly in areas like Cybersecurity and Computational Linguistics . Consultations are held on Mondays from 11:00 a.m. to 1:00 p.m. at the Institute of Computer Science, Room D413, or remotely via MS Teams by prior email arrangement. Contact him directly at marek.wisniewski@mail.umcs.pl .
Robert Sitnik is a Professor and Dean of the Faculty of Mechatronics at Warsaw University of Technology, where he is affiliated with The Institute of Micromechanics and Photonics. He earned his Doctorate in 2002 and has established himself as a leading researcher in 3D optical measurement techniques and applications. His research focuses on 3D light measurement, optical shape analysis, structured light techniques, and 3D data processing with applications spanning cultural heritage documentation and medical imaging. As the leader of the 3D/4D Optical Surface Measurement Team, he has pioneered innovative approaches to surface measurement and documentation. His work demonstrates strong interdisciplinary connections between mechanical engineering, computer vision, and practical applications in both cultural preservation and healthcare. His research has led to significant advancements in 3D scanning technologies, particularly for human body analysis and cultural heritage conservation. His publications reveal a consistent research trajectory focused on improving accuracy, efficiency, and applicability of 3D measurement systems. His scientific impact is evidenced by 159 publications, an h-index of 18 in Scopus and 17 in Web of Science, and 103 promoted theses. His research has been supported by 22 projects, resulting in 1 patent and substantial contributions to both academic knowledge and practical applications. As an academic leader, he has supervised numerous students and researchers, contributing significantly to the development of expertise in optical measurement technologies. His work bridges theoretical research with real-world applications in medical diagnostics, cultural heritage preservation, and industrial measurement systems.
Jacob Fish holds the Rosalind and John J. Redfern Jr. Chair in Engineering at Columbia University's Department of Civil Engineering and Engineering Mechanics within the Fu Foundation School of Engineering and Applied Science. His research program focuses on computational mechanics and multiscale modeling with applications across material science and structural engineering. His research interests center on developing advanced computational frameworks for multiscale analysis of heterogeneous materials. Key areas include computational continua, atomistic-to-continuum coupling, fracture mechanics of composites, and thermomechanical modeling of advanced materials. His work bridges theoretical developments with practical engineering applications through reduced-order modeling and data-physics integration. His recent publications demonstrate strong trends in multiscale computational engineering, particularly in homogenization techniques, phase-field fracture modeling, and data-driven approaches for material behavior prediction. The research spans from atomistic simulations to structural-scale analysis with emphasis on computational efficiency and physical fidelity. Fellow, U.S. Association for Computational Mechanics (USACM) Computational Structural Mechanics Award, 2005 Fellow, International Association for Computational Mechanics (IACM), 2002 National Science Foundation Presidential Young Investigator Award, 1992 Walter P. Murphy Fellowship, Northwestern University, 1986 Fish serves as Editor-in-Chief of the International Journal for Multiscale Computational Engineering and has secured numerous research grants focused on multiscale modeling of advanced materials. His collaborative network spans multiple institutions and disciplines, particularly in computational mechanics and material science. His laboratory develops computational frameworks for multiscale analysis with applications in structural engineering, material science, and biomechanics, focusing on efficient algorithms for complex material behavior prediction.
Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.
Jakub Grela is a Lecturer at AGH University of Science and Technology, affiliated with the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering. His work focuses on building automation systems, IoT applications in energy management, and renewable energy integration. Current faculty member at AGH University Specializes in energy efficiency and smart grid technologies Active in IoT-driven building automation research Research interests include hybrid energy storage systems, thermal modeling for heating optimization, and demand response solutions in smart grids. His publications emphasize practical implementations of IoT in consumer electronics and energy management systems. His recent work explores trends in transactive energy systems, human-centric building automation, and heat recovery simulations. Articles highlight case studies across university infrastructure, street lighting, and residential energy systems, demonstrating cross-disciplinary applications of IoT in energy efficiency.
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.
Wakgari A. Deressa is a renowned researcher with 9 years of publications and 21 total works, achieving 2,840 citations and an H-index of 29 . His work focuses on public health challenges in sub-Saharan Africa, particularly malaria prevention , health disparities , and chronic disease management . Supported by major funders like the Medical Research Council and NIH, he has published extensively in journals such as BMC Pregnancy and Childbirth and Malaria Journal . Active research across 12 institutions in Ethiopia, Kenya, and Sudan Co-authorship network spans 31 institutions globally Research Themes : His work addresses critical issues including healthcare access inequities , environmental health impacts , and preventive strategies for infectious diseases like tuberculosis and malaria. He investigates socio-demographic barriers to interventions such as insecticide-treated bed net usage and PMTCT services for HIV. Publication Trends : Recent studies focus on border malaria transmission in Ethiopia (2023) and socioeconomic disparities in Kenyan malaria prevention. Earlier works examine maternal health engagement (2020), mosquito sampling methods (2017), and substance use patterns in medical students (2011). Grant Support : His research is funded by prestigious organizations including the Medical Research Council , National Institutes of Health , and National Research Foundation . Collaborative projects involve institutions like Addis Ababa University and the Faculty of Computers and Information at Cairo University.
