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Professor
Abbas Kouzani is a Professor of Engineering at the Deakin University School of Engineering , with a focus on cutting-edge biomedical engineering and AI applications. His work bridges 3D/4D printing and clinical challenges , particularly in dysphagia management and neurological disorders.
Associate Professor
Associate Professor Dušan Medved serves at the Department of Electrical Power Engineering within the Faculty of Electrical Engineering and Informatics at the Technical University of Košice. As Head of the Electricity Generation and Distribution Department, he plays a key leadership role in shaping electrical engineering education and research at the institution. His extensive teaching portfolio spans fundamental electrical engineering concepts through to specialized topics in power systems and renewable energy technologies. Medved's research interests primarily focus on power system modeling, renewable energy integration, and smart grid technologies . His work demonstrates particular expertise in photovoltaic systems, electric vehicle integration, electromagnetic field analysis, and power quality assessment. He has developed significant expertise in using EMTP-ATP software for power system transient analysis and has published extensively on modeling techniques for electrical power engineering applications. An analysis of his recent publications (2023-2024) reveals a strong emphasis on the integration of renewable energy sources into power grids, with particular attention to photovoltaic systems, electric vehicle charging infrastructure, and energy storage solutions. His work bridges theoretical modeling with practical implementation challenges, addressing critical issues such as grid stability during high renewable penetration, optimal sizing of energy storage systems, and maximizing self-consumption of locally generated renewable energy. The interdisciplinary nature of his research connects electrical engineering with energy economics and environmental considerations. Medved has been actively involved in teaching a wide range of courses including Fundamentals of Electrical Engineering, Electrothermal Technology, Electrical Energy Transformations, and Modeling in Electrical Power Engineering. His teaching materials demonstrate a hands-on approach with practical assignments covering resistance furnace design, arc steelmaking furnace analysis, and power system modeling using EMTP-ATP software. His commitment to education is evident in his development of numerous teaching resources and student projects spanning from 2012 to the present.
Associate Professor
Danijel Grahovac is an Associate Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. His academic career spans multiple research areas in probability theory and applied statistics, with particular focus on stochastic processes and their applications. His educational background includes a PhD in mathematics from the Faculty of Natural Science, Department of Mathematics, University of Zagreb (2015), with a thesis titled Scaling properties of stochastic processes with applications to parameter estimation and sample path properties , supervised by N.N. Leonenko and M. Benšić. He also holds two Master's degrees (2010, 2016) and a Bachelor's degree (2008) in Mathematics from the University of Osijek. Grahovac's research primarily focuses on limit theorems, scaling properties of stochastic processes (including self-similarity and multifractal processes), heavy-tailed distributions, and applied probability and statistics. His work often bridges theoretical developments with practical applications in fields such as image analysis, seismology, and financial modeling. He has developed innovative clustering algorithms and contributed significantly to the understanding of supOU (superpositions of Ornstein-Uhlenbeck) processes and their properties. His recent publications (2023-2025) demonstrate continued productivity across multiple journals including Pattern Analysis and Applications, Bernoulli, and Journal of Theoretical Probability. The articles reveal a consistent research trajectory examining the behavior of stochastic processes, particularly focusing on intermittency, scaling properties, and applications to real-world problems like earthquake analysis and image segmentation. Grahovac leads the project Scaling in stochastic models , funded by the Croatian Science Foundation since December 2023. Previously, he led another project Limiting behavior of intermittent processes and diffusions funded by the University of Osijek (2019/2020). He has served on editorial boards including as Co-Editor of Croatian Operational Research Review and participated in organizing committees for several statistical conferences. As an educator, Grahovac teaches Probability (Winter semesters), Time Series Analysis, and Statistical Learning (Summer semesters). His teaching materials, primarily in Croatian, cover advanced statistical methods with practical implementations in R.
Assistant Professor
Dr. Anđelija Mitrović is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. She holds a PhD in Technical Sciences (Mechanical Engineering) from 2016 and Master of Science in Information Technology from 2010. Her academic career spans multiple institutions including College of Technical Vocational Studies Čačak (2006-2011) and Faculty of Technical Sciences Čačak (2020-present). BSc in Hydropower Engineering, Mechanical Engineering Faculty Belgrade (1996) Profesor in Engineering and Informatics, Technology Faculty Čačak (2006) MSc in Information Technology, Technology Faculty Čačak (2010) PhD in Technical Sciences, Faculty of Technical Sciences Novi Sad (2016) Her research focuses on Production Technologies with emphasis on metal cutting thermal analysis, CAD/CAM systems, and educational technology innovations. Key research trends include: Thermal modeling in conventional and unconventional machining 3D virtual environment applications for engineering education Finite element analysis of milling processes Software-based cutting parameter optimization Integration of immersive learning platforms Publications demonstrate expertise in Thermal Analysis , Manufacturing Simulation , and Virtual Learning Environments . While no formal awards are listed, her work appears in reputable journals and international conference proceedings.
Assistant Professor
Dr. Vesna Petrović is an Assistant Professor at the Department of Social and Human Sciences within the Faculty of Technical Sciences in Čačak , part of the University of Kragujevac . She holds a Doctor of Science in Philological Sciences (English Language) and specializes in English for Specific Purposes (ESP) pedagogy. PhD in Philological Sciences (2022), University of Belgrade Master of Academic Studies in English Language and Literature (2010) Undergraduate Degree in English Language and Literature (2000) Her research focuses on Task-Based Learning (TBL) , Oral Presentation Assessment , and Technology-Enhanced Language Learning . She has developed multicriteria rating scales for communicative competence evaluation and investigated the role of MS Teams in pandemic-era ESP instruction. Recent work explores foreign language anxiety reduction in digital environments. She co-authored over 15 peer-reviewed publications, including articles in ELOPE and Teaching Innovations , and presented at conferences like TIE and EUROCALL . She participates in Erasmus+ projects and leads professional development seminars for language educators.
Researcher
Florian Grassinger is a Junior Researcher at the Institute of Creative Media/Technologies, Department of Media and Digital Technologies at Fachhochschule St. Pölten (University of Applied Sciences St. Pölten). He has been working in the Media Computing Research Group since July 2016, focusing on data visualization, visual analytics, and interactive systems. His educational background includes: Bachelor's degree in Industrial Simulation (2010-2014) from FH St. Pölten Master's degree in Digital Healthcare (2014-2016) from FH St. Pölten Grassinger's research focuses on making data more accessible and understandable through innovative visualization techniques. His work spans data visualization, visual analytics, and visualization onboarding, with particular emphasis on multimodal data representation (making data visible, audible, and tangible). He explores how to effectively guide users in understanding complex visualizations through educational theories and interactive systems design. His research has applications in diverse domains including healthcare (particularly dementia care), facility management, and data journalism. His publication record shows a strong focus on visualization onboarding techniques, data physicalization, and multimodal data representation. Over the past several years, his work has increasingly addressed practical applications of visualization in real-world contexts such as dementia care counseling and facility management systems. He frequently collaborates with researchers like Wolfgang Aigner and Christina Stoiber on advancing visualization literacy and developing more intuitive visualization interfaces. Grassinger is actively involved in numerous research projects including the Josef Ressel Center Industrial Data Lab, IoT4LAC, Dataskop, and SEVA (Self-Explanatory Visual Analytics). These projects focus on applying visualization techniques to solve practical problems in domains ranging from community IoT applications to data-driven journalism.
Assistant Professor
Grzegorz Krawczyk, PhD, is an Assistant Professor at the John Paul II Catholic University of Lublin, employed in the Department of Social and Humanistic Foundations of Landscape Architecture, Institute of Mathematics, Informatics and Landscape Architecture, Faculty of Natural and Technical Sciences. His research focuses on regional socio-economic development, local public finance, demographic change, FDI, innovation and academic entrepreneurship. Research interests revolve around measuring and explaining patterns of development at municipal and regional level, with particular emphasis on: local public budgets and fiscal capacity socio-economic mapping and typologies of communes demographic ageing and its fiscal consequences foreign-direct-investment determinants and local spill-overs academic entrepreneurship and university-industry knowledge transfer evaluation of cohesion-policy instruments Empirical coverage is dominated by the Lublin Voivodeship and Eastern Poland, but comparative studies (e.g. Poland-Spain FDI) are also present. Methodologically the work combines descriptive statistics, comparative case studies and policy-oriented evaluation. Scientific output comprises over 40 items, including peer-reviewed articles, chapters and conference papers published between 2003 and 2023; no research grants or supervised doctoral candidates are listed in the source material.
Professor
Dr. Jan Swart is a Professor at the Department of Probability and Mathematical Statistics within the Faculty of Mathematics and Physics at Charles University, and a researcher at the Institute of Information Theory and Automation (UTIA) of The Czech Academy of Sciences in Prague. His office is located at Pod vodarenskou vezi 4, 18200 Praha 8, Czech Republic, where he works in Room 112 of the Stochastic Informatics department. Professor Swart specializes in probability theory with particular expertise in interacting particle systems, stochastic processes, and their mathematical foundations. His research spans quantum probability, random matrix theory, Markov chains, large deviations, and Brownian continuum objects. He has developed significant theoretical frameworks for understanding complex stochastic systems and their scaling limits. His publication record shows a consistent focus on advancing the mathematical understanding of interacting systems, with lecture notes and research materials that have become valuable resources in the field. His work demonstrates strong connections between theoretical probability and applications in statistical physics and theoretical biology. Professor Swart has supervised numerous theses and taught a wide range of advanced courses including Quantum Probability Theory, Interacting Particle Systems, Random Matrix Theory, and Advanced Markov Chains. He has also created a comprehensive simulation library for interacting particle systems that enables numerical exploration of these complex models. Notably, Professor Swart has also contributed to mathematical education through creative works including a mathematical fairy tale titled "Roulette a la princess" that explores game theory and probability concepts in an engaging narrative format. His work on the Czech language demonstrates his integration into the local academic community while maintaining international scholarly connections.
Assistant Professor
Dr. Ebenezer Miezah Kwofie holds the position of Assistant Professor within the Department of Bioresource Engineering at McGill University's Macdonald Campus, where he also serves as Co-Director of the Integrated Food and Bioprocess Engineering Program. His research focuses on sustainable food systems, with particular emphasis on agri-food life cycle assessment and circular bioeconomy development in the Canadian context. Dr. Kwofie's primary research interests include agri-food life cycle assessment , sustainable food systems , and circular bioeconomy . He investigates environmental impacts such as greenhouse gas emissions and resource use across food supply chains, while also considering nutritional outcomes and food security dimensions. His methodological approach frequently employs life cycle sustainability assessment (LCSA), multi-criteria decision analysis (MCDA), and systems modeling to evaluate trade-offs and identify sustainable pathways for agricultural and food processing systems. Analysis of Dr. Kwofie's recent publications (2023-2025) shows a growing emphasis on integrating environmental and health considerations in food system analysis. His work increasingly applies advanced computational methods, including deep learning, to develop decision support tools for sustainable healthy diets. Key research themes include circular bioeconomy accounting, plant-based dietary transitions, and the development of holistic frameworks for net-zero food systems, with many studies focusing on Canadian case examples. No scientific awards, fellowships, or major honors were documented in the provided faculty profile and related materials. While Dr. Kwofie's role as Assistant Professor and Co-Director of the Integrated Food and Bioprocess Engineering Program indicates involvement in graduate education, specific details about current or past students were not provided. Similarly, information about research grants, funding sources, or collaborative projects was not included in the available text. The source materials did not specify any dedicated research laboratory or core research team associated with Dr. Kwofie. However, his research focus suggests collaboration within McGill's Department of Bioresource Engineering and potentially with external partners in the Canadian agri-food sector.
Associate Professor
Dr. Karol Kyslan serves as Associate Professor and Vice-Dean for Research at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, where he leads research initiatives and doctoral education programs. His academic profile centers on advanced control systems for electrical drives, with institutional affiliation deeply rooted in industrial automation applications. His research expertise spans sensorless control of Permanent Magnet Synchronous Motors (PMSM) , finite control set model predictive control , and sliding mode observers , addressing critical challenges in low-speed operation, fault tolerance, and industrial implementation. Key application domains include material processing lines, rotary shears, and steel production systems, where his work bridges theoretical control algorithms with practical machinery dynamics. Analysis of his 2021-2025 publications reveals a strategic evolution toward integrating machine learning for fault diagnosis while maintaining core focus on high-frequency signal injection techniques. Recent work demonstrates increasing sophistication in torque ripple compensation and real-time optimization, with growing emphasis on multiphase machine control and hardware-in-the-loop validation for industrial deployment.
Assistant Professor
Melissa Ocepek is an Assistant Professor at the School of Information Sciences , University of Illinois at Urbana-Champaign. She holds a PhD in Information Studies from the University of Texas at Austin and a B.A. in Political Science and Sociology from Pepperdine University. Education: PhD in Information Studies (UT Austin), B.A. in Political Science and Sociology (Pepperdine) Her research focuses on everyday information behavior using cultural and critical theory frameworks, with a unique emphasis on food studies and ethnography. She explores how people interact with information in mundane contexts like grocery shopping and leisure activities, often employing shadowing and participant observation methods. Recent publications analyze serendipity in bookshops, sensory grocery shopping behaviors, and historical food advertising. She has co-authored two books: Food in the Internet Age and Formal and Informal Approaches to Food Policy with William Aspray and George Royer. Her 2019 INTERACT paper won a Best Paper Award. Scientific Awards: Best Paper Award Winner, INTERACT 2019 Ocepek teaches courses like Libraries, Information and Society (IS510AC) and Independent Study (IS589MGO). She collaborates internationally on misinformation governance and has contributed to studies on food-buying behavior during the COVID-19 pandemic. Her work bridges library science with informatics through her Faculty Affiliate role in Illinois Informatics.
Associate Professor
Helen Egger MD is a tenured Associate Professor in the Departments of Psychiatry and Pediatrics at Duke University, holding key leadership roles including Chief of the Division of Child and Family Mental Health and Developmental Neuroscience, Vice-Chair for Integrated Pediatric Mental Health, and Director of the Duke Early Childhood Research Program within the Center for Developmental Epidemiology. She co-leads the Duke Information and Child Mental Health Initiative alongside Dr. Guillermo Sapiro under the Information Initiative at Duke (iiD). Her academic foundation includes: Undergraduate studies at Yale College Medical degree from Yale School of Medicine Adult and child psychiatric training at Duke University Post-doctoral research training at Duke University With over a decade of faculty service at Duke, her research bridges clinical child psychiatry and epidemiology, focusing on developmental trajectories of mental health disorders in young children and innovative integration of information technology for pediatric mental health assessment. The Duke Early Childhood Research Program drives population-based studies on early intervention, while the Information Initiative collaboration pioneers data science applications in child mental health systems. Scientific Awards: No specific awards, fellowships, or medals are referenced in the provided text. Advising and Grants: The source material does not enumerate advisees or grant funding details. As Director of a major research program and Division Chief, she directs substantial research operations but explicit student mentorship or grant records remain unlisted. Labs and Teams: Duke Early Childhood Research Program (Center for Developmental Epidemiology) Duke Information and Child Mental Health Initiative (co-led with Dr. Guillermo Sapiro, under iiD)
Professor
Rick Bunch serves as a Professor in the Department of Geography, Environment, and Sustainability at the University of North Carolina at Greensboro (UNCG), where he teaches introductory through advanced Geographic Information Systems (GIS) courses. His research integrates geospatial technologies with environmental conservation and disaster management applications. His educational credentials include: Ph.D. in Geography, University of South Carolina (2000) M.S. in Geography, University of South Carolina (1998) B.S. in Geography, Ohio State University (1996) Bunch specializes in Geographic Information Science (GIScience), with research emphasizing habitat suitability modeling for species like Wild American Ginseng and Monarch Butterflies. His work bridges conservation biology, spatial analysis, and disaster response informatics, particularly through social media data mining during hurricanes. He has developed multidisciplinary frameworks for geospatial technologies in educational contexts and natural resource management. Analysis of his 2018-2024 publications reveals consistent methodological innovation in capability analysis, migratory pattern modeling, and disaster informatics. His research demonstrates strong interdisciplinary connections between geography, ecology, and computational sciences, with increasing focus on climate resilience and species conservation. Scientific recognition includes: No formal awards documented in source materials Professor Bunch maintains active research collaborations across ecology, natural products chemistry, and disaster management fields. While student advising details are not specified, his co-authored publications indicate mentorship roles in graduate-level research. Current projects involve habitat suitability testing and social media analytics for emergency response. No dedicated laboratories or formal research teams are referenced, though his publications reflect sustained partnerships with environmental scientists, chemists, and disaster response specialists across multiple institutions.
Adjunct Professor
Wendy MacCaull is an Adjunct Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her scholarly activity focuses on formal methods for healthcare workflow verification, ontology reasoning, and temporal logic applications in process mining. Role: Adjunct Professor Institution: McMaster University Department: Computing and Software Research Interests: Workflow Verification, Ontology Reasoning, Healthcare Process Mining Her work bridges formal logic and healthcare IT , with publications on compensable workflows, timed BDI CTL logic verification, and ontology merging for clinical systems. She has contributed to Journal of Symbolic Logic , Lecture Notes in Computer Science , and IEEE Transactions on Knowledge and Data Engineering . Recent trends include contextual process mining (2024) and multi-context reasoning architectures (2023). Earlier works (2008-2012) explored non-classical logics, residuated logic models, and Kripke semantics.
Researcher
Dr. Inna Vashkite is a Researcher at the Department of Informatics, University of Zurich since 2022, affiliated with the Information Management Research Group. Her office is located at Binzmuehlestrasse 14, CH-8050 Zurich (Room: BIN 2.D.11). Prior professional engagements include: 2019-2022: Private psychotherapeutic practice 2018-2022: Postdoc assistant, Department of Psychiatry, Narcology, Medical Psychology and Social Work at Kharkiv National Medical University 2013-2018: Postdoc assistant, Psychotherapy Department at Kharkiv Medical Academy of Postgraduate Education 2014-2017: Docent, Department of Psychiatry, Narcology, Neurology and Medical Psychology at V.N. Karazin Kharkiv National University (Medical Faculty) 2010-2015: Psychiatrist and psychotherapist at Mental Health Center of Students in Kharkiv Regional Student Hospital 2010: Psychotherapist at Kharkiv Regional Psychiatric Hospital №1 Her research interests bridge information systems with healthcare applications, focusing on Information Management and Health Informatics , supported by expertise in Data Science , Business Informatics , and Digital Health . This interdisciplinary profile leverages her clinical background in mental health to address challenges in data-driven healthcare systems. No scientific awards are documented in the provided materials. Professional activities indicate no formal student advising roles or grant management responsibilities at the University of Zurich based on current information. Dr. Vashkite operates within the Information Management Research Group , which focuses on advancing data integration, information retrieval, and digital transformation frameworks applicable to complex organizational environments.
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