Jasper Korte is a researcher affiliated with the Deutsches Institut für Erwachsenenbildung (German Institute for Adult Education) since 2025, where he works in the Organization and program planning department. His career spans roles at the German Aerospace Center, Breitenbach Media, and the University of Münster. He holds a doctorate in Philosophy from the University of Münster (2021) and a diploma in Sociology, Political Science, and Psychology from the Free University of Berlin. Current: Researcher at DIE (2025–present) 2021–2024: Research Associate at the Institute of Software Technology, German Aerospace Center 2019–2021: Project Manager Media Analysis at Breitenbach Media 2012–2018: Research Associate at the Institute of Sociology, University of Münster Research interests include sociology, media analysis, digitalization, and climate change communication. His work explores the public representation of social sciences, data-driven foresight in space policy, graph theory applications for knowledge mapping, and interdisciplinary communication. Recent publications analyze climate change discourse in scientific and Wikipedia contexts, as well as computational tools for graph exploration. Publications span peer-reviewed articles in computational linguistics, environmental policy, and media studies, alongside monographs on public sociology and digital self-presentation. Collaborative projects highlight his focus on integrating sociological theory with technological innovation. Education : 2021: Doctorate in Philosophy from the University of Münster Diploma in Sociology, Political Science, and Psychology from the Free University of Berlin
Heather Hornbeak is an active Associate Professor of Web Design in the Art Department at Charleston Southern University (CSU), where she teaches Web Design, UX/UI, and Photography. She joined CSU in 2024 after previously serving as Professor of Interactive Media at Asbury University (2016-2024) and teaching photography at Union University during graduate studies. Her career uniquely bridges academia and industry, with designs featured globally in Apple stores and major trade shows like CES and MacWorld. Education: M.F.A. in Graphic Design & Photography, Azusa Pacific University (2016) B.A. in Graphic Design, Union University (2004) Animation Design Training, School of Visual Arts (2022) Production Design Training, Asbury University (2017) Her research focuses on user-centered digital design, particularly Web Design and UX/UI methodologies. She investigates practical applications of Data Visualization in education and corporate settings, alongside sustainable design innovations demonstrated through her tiny home project and van conversion. Her work consistently connects technical design skills with real-world user behavior and ethical digital communication practices. Recent publications (2016-2024) reveal three key trends: (1) UX/UI design for corporate and educational contexts, (2) data visualization as a communication tool, and (3) design's role in lifestyle innovation. She emphasizes the intersection of technology, user behavior, and physical space optimization, with growing attention to social media's impact on community events. Heather Hornbeak has not received any listed scientific awards or fellowships in the provided text. While no formal graduate students are documented, she mentors through teaching and industry leadership. She trained employees in her AV & Home Automation business and taught photography at Union University. Grant history isn't mentioned, but her corporate work included major accounts for Target, Walmart, and Best Buy, reflecting applied research funding through industry partnerships. She co-owns a studio and AV & Home Automation business with her husband, personally training employee teams. At CSU, she collaborates with the Art Department but no dedicated research lab is specified. Her Creo Art Guild membership and AIGA judging role indicate professional team engagement.
Natalia Stash is a researcher in the Department of Mathematics and Computer Science at Eindhoven University of Technology. Her work focuses on adaptive learning systems, hypermedia, and recommender technologies, with a particular emphasis on educational applications for autistic students and personalized content delivery. Research Interests include: Content-Based Recommender Systems Hypermedia and Semantic Relations User Modeling and Adaptive Learning Environments Educational Technology for Special Needs Integration of Personalization Tools in CMS Underwater Acoustic Signal Processing Recent Publications highlight interdisciplinary trends, blending computer science with educational innovation. Her 2018 work on hydroacoustic signal processing demonstrates expertise in underwater acoustics, while her 2016 contributions to adaptive educational applications for autism reflect a commitment to inclusive technology. Collaborative efforts on authoring tools like ALAT and WiBAF underscore her focus on accessible, user-friendly systems for personalized learning. Academic Engagement involves teaching the course Information HBO-Top CS since 2020 and supervising multiple research outputs (4 total), though specific student names are not listed. No scientific awards are explicitly mentioned in the provided text.
Michael A. Palley is a Professor in the Paul H. Chook Department of Information Systems and Statistics at Zicklin School of Business, Baruch College (CUNY) . His expertise spans Accounting Information Systems , IT and Organizational Strategy , and Healthcare Information Systems . Education: PhD, MS, and MPhil in Information Systems from NYU Stern School of Business; BS in Finance & Multinational Enterprise from the Wharton School. His research focuses on information system security , statistical database confidentiality , and the intersection of IT with financial markets . He has contributed to journals such as Health Care Management Review and Journal of Official Statistics , with notable work on regression-based disclosure risks and IT diffusion in human services. Recent publications explore portfolio risk/return models for security and consequence frameworks for IT adoption . His work bridges theoretical rigor with practical applications, including user interface design and healthcare reimbursement systems . Scientific Awards: Zicklin Teaching Excellence Award (2001) Beta Gamma Sigma Honors (1986) IBM Fellowships (1983-1984) Invited Participant to ICIS Doctoral Consortium (1984) Paley has held leadership roles in academic governance, including Faculty Committee on Educational Technology and CUNY Baccalaureate Program Mentor . He has also served as a consultant for organizations like Citigroup and IBM.
Tommaso Calo' is a Research Fellow at the Department of Control and Computer Science (DAUIN) at Polytechnic University of Turin. He serves as an external teacher and teaching assistant, contributing to various courses in Computer Engineering and Engineering and Management programs. His research focuses on the intersection of Human-Computer Interaction, Artificial Intelligence, and UI/UX design. Specifically, he explores: Generative AI applications in UI design Code generation from visual designs Visual prompting modalities for AI-assisted design Intelligent tutoring systems and educational technology Algorithms and tools for creating interactive systems Dr. Calo' has been actively involved in teaching Human Computer Interaction courses across multiple academic years (2022/23-2024/25) for Computer Engineering students, as well as contributing to courses like Image Processing and Computer Vision, and Introduction to Web Applications. His research output shows a strong focus on AI-enhanced design tools and methodologies, with multiple publications in 2025 covering topics from visual prompting to synthetic exercise generation for educational systems. His work with the ELITE - Intelligent and Interactive Systems research group demonstrates practical applications of AI in design workflows, particularly through projects that bridge design tools like Figma with web implementation and explore how visual prompts can effectively guide generative AI systems in UI creation.
Regina Stodden is a Research Fellow at the Department of Computational Linguistics, Heinrich Heine University Düsseldorf, since January 2019. She is affiliated with the NRW Research College for Online Participation (second funding phase) and works under the supervision of Prof. Dr. Marc Ziegele. Education: B.A. in Educational Science, Text Technology, and Computational Linguistics from Bielefeld University M.A. in Information Science and Language Technology from HHU Düsseldorf Her research focuses on automatic text processing , particularly text simplification for online discussions. This includes: Enabling participation for people with limited German proficiency Reducing manual workload in text analysis Exploring accessibility in Open Data portals She has contributed to tools like TS-ANNO for corpus annotation and EASSE-DE for simplification evaluation, with recent work extending to CEFR-based language proficiency assessment . Her research intersects Natural Language Processing , Machine Learning , and Usability Studies , often addressing accessibility challenges in digital participation. Scientific awards: No explicit awards mentioned. Advising and grants: Participates in the NRW Research College for Online Participation funding program and collaborates under Prof. Dr. Laura Kallmeyer's supervision. Her work involves grants related to text simplification for online participation processes.
Dr. Kinnis Gosha is the Hortenius I. Chenault Endowed Professor of Computer Science and Academic Program Director for Software Engineering at Morehouse College. He serves as Executive Director of the Morehouse Center for Broadening Participation in Computing and is the Principal Investigator for the NSF-funded Institute for African-American Mentoring in Computing Sciences (IAAMCS) . Dr. Gosha earned his B.S. in Computer Science from Albany State University , an M.S. in Computer Science and Software Engineering from Auburn University , and a Ph.D. in Human-Centered Computing from Clemson University . His research focuses on conversational AI , social media data analytics , computer science education , and culturally relevant computing , with over 60 peer-reviewed publications. He leads the Culturally Relevant Computing Lab , where 21 undergraduates have pursued doctoral degrees. His work includes collaborations with Google, Microsoft, and the National Science Foundation, notably developing virtual reality anti-bias training tools and SMS-based mentoring systems. Key awards include the 2019 RESPECT Conference Distinguished Paper Award and the 2014 Atlanta Magazine Groundbreakers Award .
Professor Dariusz Sawicki is a faculty member at Warsaw University of Technology's Faculty of Electrical Engineering, affiliated with The Institute of the Theory of Electrical Engineering, Measurement and Information Systems. His research spans computer vision, optical engineering, and human factors with applications in virtual reality and occupational safety. His primary research interests focus on advanced optical systems including ray tracing methodologies, light source characterization, and image processing techniques. Specialized work in glare assessment at outdoor workplaces has established him as an expert in lighting ergonomics, while his development of Semi-Cave virtual reality environments demonstrates interdisciplinary innovation connecting computer graphics with human psychophysiology. Recent publications reveal expanding work in botanical reconstruction, fractal generation, and pandemic-era communication systems. Professor Sawicki has supervised 92 promoted theses and authored 80 publications with significant bibliometric impact (h-index 9 in Scopus). His work includes 1 patent and participation in multiple projects, with research funded through institutional support at Warsaw University of Technology. Current laboratory activities center on the Semi-Cave virtual reality facility for studying audiovisual environment impacts on human performance. 80 Publications with cumulative ministry score of 2,315 92 Supervised theses 1 Patent h-index (Scopus): 9 | h-index (WoS): 8 Total CiteScore: 63.19
Nadine Aburumman is an Associate Dean for Equality, Diversity and Inclusion (EDI) and Lecturer in Computer Science at Brunel University London, within the College of Engineering, Design and Physical Sciences. She leads the Graphics and Extended Reality Team (GERT) and is a member of the Centre for AI: Social and Digital Innovation and the Interactive Multimedia System (IMS) research group. Her academic journey includes postdoctoral positions at University College London, the Computer Science Research Institute of Toulouse, and Friedrich-Alexander University Erlangen-Nürnberg. Dr. Aburumman holds a BSc and MSc in Computer Science, with her MSc specializing in computer graphics, vision and imaging, and a PhD in computer science focusing on digital human and shape simulation. She was awarded a PhD Erasmus Mundus Scholarship for her doctoral studies at Sapienza University of Rome. She also holds FHEA status (PgCAP in academic practice) and is a Professional Member of the British Computer Society (BCS). Her research spans real-time computer graphics , extended reality , and AI-powered immersive technologies . She investigates interactive character animation, physically based simulations, and the application of VR/AR/XR in interdisciplinary contexts including neuroscience, education, and social interaction. Her work bridges computer science with practical applications in healthcare, training, and human-computer interaction, with a particular focus on making technology accessible and inclusive. Dr. Aburumman's publication record shows increasing interdisciplinary work, with recent publications focusing on collaborative virtual environments, haptic feedback systems, and the integration of neuroscientific methods like fNIRS to study human responses in virtual environments, particularly with neurodiverse populations. Her work demonstrates a clear trajectory from foundational graphics research toward applied, socially relevant technology development. 2024: Runner-Up: Lecturer of the Year (Student Led Award-University Level) 2023: The Recognition of Excellence (RoE) Award 2022: Brunel Research Initiative And Enterprise Fund (BRIEF) Award 2016-2018: CIMI Post-doctoral Fellowships 2014: Best paper and best presentation awards at the 30th SCCG conference 2012: EU Erasmus Mundus PhD Scholarship Dr. Aburumman has supervised over 140 undergraduate students (including 50 Final Year Projects) and 16 successful MSc dissertations. Notable students include Mariama Kebbeh Suko who won the 2021 BCS prize for her AR project on African & Black History, and Brandon Michael whose work on VR language pedagogy was accepted for publication. She currently supervises PhD students Mingzhao Zhou (real-time visual and haptic feedback) and Rania Xanthidou (haptic feedback in VR learning environments). Her research is supported by multiple grants including Royal Society Partnership Grants, RCIF Grants, and projects with the RESPECT4Neurodevelopment initiative. As leader of the Graphics and Extended Reality Team (GERT), Dr. Aburumman fosters interdisciplinary collaboration across computer science, neuroscience, and education. Her team works on projects ranging from droplet-solid interaction simulations to VR systems for neurodiverse children, reflecting her commitment to applying graphics research to real-world challenges. She co-coordinated the AI Centre Thought Leadership series for 2023-2024 and is actively involved in outreach through programs like Code First Girls and Made In Brunel.
Professor John Cosmas is a leading academic in digital media and broadcast networks at Brunel University London, within the College of Engineering, Design and Physical Sciences. He earned a BEng in Electronic Engineering (1978) from Liverpool University and a PhD in Image Processing (1987) from Imperial College, following industrial roles at Tube Investments and Fairchild Camera. His research spans 5G, Internet of Radio Light (IoRL), and convergence of broadcast/telecom networks. 2006-2008: PLUTO (530K EU project) 2004-2005: INSTINCT (750K EU project) 2000-2001: SAMBITS (250K EU project) His work integrates architectural and electronic design for radio-light networks in smart homes/museums, with recent focus on tactile internet and tele-surgery applications. Over 150 publications and supervision of 20+ PhD students highlight his impact in: 5G/Tactile Internet Antenna & Coverage Optimization Cultural Heritage Multimedia He has served as Associate Editor for IEEE Transactions on Broadcasting since 2006 and chairs IEEE symposia globally. His students now lead projects in 5G, IoT, and network management.
Charaf Hassan is a Professor and Head of Department at the Budapest University of Technology and Economics, specifically in the Department of Automation and Applied Informatics. His work spans interdisciplinary domains, focusing on distributed systems, network coding, and IoT technologies. His research interests include Distributed Systems and Domain-Specific Modeling Network Coding and Mobile Peer-to-Peer Systems Model-Driven Development for Multiplatform Applications Machine Learning in Fluid Dynamics and Pharmaceutical Analysis Recent publications highlight trends in applying convolutional neural networks to viscosity estimation, model-driven methodologies for IoT, and network coding in cloud storage. He teaches advanced courses in distributed systems and software architectures at the university level.
Péter Stumpf is an Associate Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics. His research focuses on advanced control systems, power electronics, and machine learning applications in electrical drives. Contact Information: • Office: Building Q.B114, 1117 Budapest, Magyar tudósok krt. 2. Hungary • Phone: +36 (1) 463-2870 • Email: Stumpf.Peter@aut.bme.hu His recent work explores predictive control methods, including Model Predictive Control (MPC) and Reinforcement Learning (RL), applied to permanent magnet synchronous motors, grid-side converters, and high-speed drives. He has developed novel algorithms for optimal current computation, weighting factor assignment, and harmonics compensation. Key research trends include: Integration of machine learning in control systems Optimization of power electronics for renewable energy Advanced modulation techniques in motor drives Compensation of nonlinear effects in high-speed systems
Dr. Slavisa Radović is a Research Fellow at the Center of Advanced Technology Assisted Learning and Predictive Analytics (CATALPA) at University of Hagen (Distance Education), where he has conducted research since March 2022. His primary focus involves the Adaptive Personalized Learning Environments (APLE II) project, investigating how emerging educational technologies can enhance students' reflection and self-regulation capabilities in learning contexts. Dr. Radović earned his PhD from the Open University of the Netherlands (Faculty of Educational Sciences), with his thesis titled 'Improving experiential learning environments in higher education: more authentic, reflective and collaborative (mARC) instructional design' (2018-2022). His academic journey includes research visits to University of Aix-Marseille (2017), University of Ioannina (2015-2016), Vrije Universiteit (2014-2015), and Lancaster University (2014). Dr. Radović's research spans multiple interconnected domains within educational science, with primary focus on leveraging technology to create effective learning experiences. His work investigates self-regulated learning, experiential learning environments, and innovative instructional design, examining the interplay between technological tools, pedagogical approaches, and student cognitive processes. He specializes in integrating reflection and collaboration mechanisms within digital learning environments, particularly addressing challenges in distance and online education contexts where these elements are difficult to implement. Analysis of Dr. Radović's publication record reveals a clear research trajectory centered on self-regulated learning in technology-enhanced environments. His work has evolved from theoretical frameworks like the mARC instructional design model toward practical implementation and evaluation tools such as the SRL-S Rubric. Recent research incorporates learning analytics and emerging technologies including generative AI to assess and support self-regulated learning processes. His publications span multiple high-impact journals across educational technology, learning sciences, and higher education research, demonstrating interdisciplinary relevance. Dr. Radović maintains active collaborations, most notably with Dr. Nils Seidel at University of Hagen, resulting in numerous co-authored publications and shared research projects. His work bridges theoretical educational research with practical implementation, as evidenced by contributions to educational software development including the SERIAL2 plugin for Moodle. Within CATALPA, he contributes to the center's mission of developing innovative approaches for personalized and adaptive learning environments, particularly addressing challenges of distance education.
Rubén Alcaraz is an Associate Professor at the University of Barcelona's Department of Library and Information Science, with teaching roles at Pompeu Fabra University (since 2013) and EINA Barcelona (since 2014). He holds a PhD in Engineering and Information Technology from University of Lleida (cum laude), Master's in Digital Content Management (UB/UPF), and Library Science Diploma (UB).
Manuel Jesus Lopez Sanchez is a tenured professor at the University of Cádiz, Spain, affiliated with the College of Engineering and the Department of Automatic Engineering, Electronics, Computer Architecture, and Networks. His work focuses on Systems Engineering and Automation, with expertise in Nonlinear Dynamics, Cyber-Physical Systems, Robust Control , and Advanced Process Control . He has developed control methodologies for chaotic systems, marine applications, and real-time simulation environments. Education: PhD in Systems Engineering (1999) - University of Cádiz PhD in Systems Engineering (1995) - University of Sevilla His research spans multiple domains including chaos control , marine automation , and real-time systems . Key contributions include H∞ controller designs for aircraft , adaptive ship stabilization systems , and open-source hard real-time environments . Article trends show sustained focus on robust control algorithms (7/15 articles), chaotic system stabilization (5/15 articles), and maritime automation (6/15 articles) since the 1990s. He has collaborated on numerous projects, including the development of the ControlAvH software for controller design and the EPESC real-time simulation system. His work integrates nonlinear control theory with practical hardware implementations , often through experimental validation using physical systems like chaotic circuits and marine vessels.
