جست‌وجوی استاد و پژوهشگر

Jin Leeمشاهده پروفایل

پژوهشگر ارشد

• Digital Intimacies
• Social Media Studies
• Identity Politics & Digital Activism
• +۳ مورد دیگر

Dr. Jin Lee is a Senior Research Fellow at Curtin University's School of Media, Creative Arts and Social Inquiry, within the Faculty of Humanities. He holds multiple research affiliations including the Influencer Ethnography Research Lab (IERLab), the Australian Research Council Centre of Excellence for the Digital Child, and is a founding member of the TikTok Cultures Research Network. His work focuses on digital intimacies, marginalized communities' media practices, and social media pop cultures. His research explores how marginalized groups navigate digital spaces to assert agency, with particular attention to identity politics, gender/sexuality dynamics, and digital activism. He has conducted extensive studies on South Korean media ecosystems, including analyses of YouTube influencers, K-pop idol cultures, and TikTok's global expansion. His work bridges academic rigor with public engagement, appearing in both scholarly journals and popular media outlets. Key contributions include co-editing special issues on TikTok cultures, exploring social justice through platform-based activism, and examining the intersection of child stardom and digital media. Lee's methodologies emphasize ethnographic approaches to digital spaces, revealing how cultural artifacts and online interactions shape contemporary media landscapes. He is affiliated with the Korea Research Centre of Western Australia and has been recognized for his interdisciplinary approach to media studies. His current projects investigate cute activism on social media, the role of influencers in nationalist discourses, and children's digital cultures across the Asia Pacific region.

Tillman Weydeمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Signal Processing
• Data Analysis
• +۵ مورد دیگر

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

• Business Process Management
• Information Systems
• Petri Net Modeling
• +۳ مورد دیگر

Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.

Alexander Steenمشاهده پروفایل

استادیار

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +۷ مورد دیگر

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.

Daniel Barbaráمشاهده پروفایل

استاد

• Data Mining
• Machine Learning
• Databases
• +۳ مورد دیگر

Daniel Barbará is a Professor in the Department of Information and Software Engineering at George Mason University since 1997. He holds a PhD and MS in Computer Science from Princeton University, and a BS in Electrical Engineering from Universidad Metropolitana. Research Interests: Data mining, machine learning, cybersecurity, mobile computing, and fractal-based data analysis. His work focuses on clustering algorithms, intrusion detection, data compression, and handling high-dimensional datasets. Grants: Multiple NSF and Air Force grants including "Clustering by Impact" (2002-2005) and "Data Mining Support for NIAC" (1999-2000). Scientific Awards: Outstanding Researcher, CS Department, George Mason University Best Paper Finalist at WWW 2002 Projects: Developed ADAM (Intrusion Detection), COOLCAT (Categorical Clustering), Fractal Mining, and Quasi-Cubes (Approximate Query Processing).

• Software Engineering
• Workflow Management Systems
• Image Analysis
• +۲ مورد دیگر

Michał Turek is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary workplace is located in room 303a of building C-2, and he maintains active contact through email (mitu@agh.edu.pl) and phone (+48 12 617 52 03), indicating current academic engagement. His research spans Software Engineering with particular emphasis on Workflow Management Systems integration with industrial applications, Image Analysis for 3D surface inspection, and Agile Methodologies implementation. Turek has pioneered innovations in Scrum adaptation for multi-project environments and software product lines, while developing formal verification frameworks for business processes and service-oriented architectures. His work bridges theoretical computer science with practical industrial solutions, especially in automated damage identification systems and workflow optimization. Analysis of his 15 most recent publications reveals consistent focus on workflow system intelligence (2020-2022), with significant contributions to automatic correction mechanisms and smart procedure integration. Earlier works (2010-2016) demonstrate deep expertise in formal verification methods, Scrum economics, and 3D surface analysis techniques. The publications show interdisciplinary convergence between software engineering, computer vision, and industrial automation, with recurring themes of system resilience and process optimization across both English and Polish scholarly outputs.

• User Experience
• Human-Robot Interaction
• Robotics
• +۶ مورد دیگر

Shih-Yi Chien is an Associate Professor in the Department of Management Information Systems at National Chengchi University, Taipei, Taiwan. His research focuses on User Experience , Human-Robot Interaction , and Robotics , with applications in Information Behavior and Machine Learning . Education: Ph.D. in Information Sciences from University of Pittsburgh (2009–2017). Professional Experience: Assistant Professor (2018–2023), then Associate Professor (2023–present) at NCCU. His research spans Explainable AI (XAI), Dementia Prediction , Fake News Detection , and Human-Automation Trust . Recent work includes cross-cultural studies on AI perception and neuromarketing applications in e-commerce robotics. Publications appear in Information Systems Frontiers , IEEE Transactions on Human-Machine Systems , and ACM/IEEE International Conference on Human-Robot Interaction . Notable scientific awards include: 2024 Yushiu Creative Award (Silver) 2023 National Somatic Interactive Technology First Prize 2022 Fubon Life Insurance Thesis Excellence Award Multiple INFORMS/IEEE/HICSS conference recognitions He has led research grants from Taiwan's National Science and Technology Council (MOST) on topics like human-multirobot cognitive processes and AI-driven high-age dementia care . Collaborative labs include the Ambient e-Services Laboratory and Digital Innovation & Management Research Lab at NCCU, focusing on smart contracts , human-robot collaboration , and digital sustainability .

Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

André Nitzeمشاهده پروفایل

استاد

• Internet of Things
• Digital Business Models
• Software Engineering
• +۹ مورد دیگر

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

• Distributed Systems
• Data Mining
• Machine Learning
• +۵ مورد دیگر

Karl Aberer is a full Professor for Distributed Information Systems at École polytechnique fédérale de Lausanne (EPFL) since 2000. From 2005 to 2012, he led the Swiss National Research Center for Mobile Information and Communication Systems (NCCR-MICS). Currently serving as Vice-President of EPFL responsible for information systems, he contributes to academic leadership while maintaining an active research profile. His research spans Distributed Systems Data Mining Machine Learning Social Computing Web Science Graph Neural Networks with recent work focusing on multimodal learning, federated unlearning, and social media analysis. He serves on the editorial boards of the VLDB Journal ACM Transactions on Autonomous and Adaptive Systems World Wide Web Journal and contributes to PeerJ Computer Science.

Georg von Kroghمشاهده پروفایل

استاد

• Strategic Management
• Digital Innovation
• Organizational Knowledge
• +۳ مورد دیگر

Prof. Dr. Georg von Krogh is a Full Professor and Chair of Strategic Management and Innovation at ETH Zurich , where he also chairs the Global Advisory Board and serves on the Risk Management Commission. He holds honorary affiliations as a Research Fellow at Judge Business School, University of Cambridge , and Affiliated Scholar at the Laboratory for Innovation Science (LISH) at Harvard University . Previously, he served as Head of the Department of Management, Technology, and Economics (2008-2011) and Professor at the University of St.Gallen (1994-2006), with leadership roles at SDA Bocconi and BI Norwegian Business School. PhD in Management, Norwegian University of Science and Technology MSc in Engineering and Marine Technology, Norwegian University of Science and Technology His research focuses on competitive strategy , digital innovation , and organizational knowledge creation , with industry expertise spanning financial services, media, software, life sciences, and consumer goods. Recent publications examine AI-augmented decision-making, open-source AI development, and generative AI's impact on research practices. He serves on editorial boards of Academy of Management Journal (Deputy Editor), Mit Sloan Management Review , and Organization Studies . His honors include the Fellow of the European Academy of Management , ETH Zurich Teaching Award 'Goldene Eule' , and Association of American Publishers' Best Professional Business Book Award . Von Krogh actively consults for companies in Asia, Europe, and the USA, with advisory roles at organizations like UBS , World Web Forum , and Swiss-American Chamber of Commerce . He leads the Public Interest Committee at PwC Switzerland since 2024 and contributes to policy through memberships in the Research Council of Norway and the Swiss National Science Foundation.

Kathrin Figlمشاهده پروفایل

استاد

• Human-Centric Information Systems Design
• Human-AI Interaction
• Algorithmic Management
• +۷ مورد دیگر

Kathrin Figl is a Full Professor (Tenured) for Human-centric Information Systems Design at the Department of Information Systems, Production and Logistics Management at the University of Innsbruck. Previously, she held positions as an Assistant Professor at WU Vienna University of Economics and Business and as a research associate at the University of Vienna. Her educational background includes a doctoral degree in Information Systems (2008, with honors, awarded the Dr. Maria Schaumayer Prize) and dual master's degrees in Information Systems (2004) and Psychology (2006), all from the University of Vienna. This interdisciplinary foundation bridges technical and psychological perspectives in her research approach. Professor Figl's research centers on human-centered information systems with particular emphasis on cognitive aspects of digital interaction: Human-AI interaction and algorithmic management systems Digital nudging techniques and online manipulation Eye-tracking methodologies in user research Cognitive biases and heuristics in digital environments Fake news perception and detection mechanisms Webpage prototypicality and its effects on user attitudes Business process modeling as cognitive tools Her publication trajectory demonstrates a sophisticated evolution from foundational work on business process modeling to cutting-edge research on device-specific cognitive effects and misinformation perception. A hallmark of her methodology is the rigorous application of empirical approaches, particularly eye-tracking studies, to investigate how screen design, device type, and interface elements influence human cognition and decision-making across digital platforms. Professor Figl has earned significant recognition for her scholarly contributions: Dr. Maria Schaumayer Prize for doctoral excellence Three Best Paper Awards at major international conferences Excellent Teaching Award from WU Vienna Recognition as a top reviewer for Software & Systems Modeling journal Outstanding service awards as associate editor and track chair She has secured substantial research funding including an FWF Lisa Meitner Programme grant (€145,260) on Web Design Prototypicality and an Austrian Nationalbank Research Grant (€55,000) on Cognitive Effectiveness in Business Process Modeling. While specific advisees aren't documented in the provided materials, her extensive publication record with numerous co-authors indicates active mentorship of graduate researchers. Her work with eye-tracking technology suggests leadership of a specialized laboratory environment for studying human-computer interaction, with established collaborations including the Technical University of Denmark and Queensland University of Technology.

• Customer/Patient Experiences
• Service Design
• Service Innovation
• +۴ مورد دیگر

Dr. Susan Stead is an Assistant Professor at the Institute for Technology and Innovation Management (TIM) within the Faculty of Business and Economics at RWTH Aachen University. She leads the Healthcare Innovation Lab and Digital Responsibility & Innovation Lab , focusing on customer/patient experiences, service design, and AI applications in healthcare. Her career spans roles at Maastricht University (2014-2020), including project leadership, mentoring, and teaching in service design and innovation management. Education: M.Sc. in International Business (Strategic Marketing), Maastricht University B.BA. in International Business, Zuyd University of Applied Sciences Ph.D. in Service Design and Innovation (2020), Maastricht University Research engagement at Bishop’s University (Quebec) and practical experience at NorthSouth GIS (Wellington) Her research integrates qualitative and quantitative analysis using tools like SPSS, SmartPLS, and Leximancer 4.0, with data from Web of Science, PubMed, and primary sources such as interviews and co-creation workshops. Recent publications address AI in emergency care ( Ärzteblatt , 2024), gamification ( Journal of Service Research , 2023), and multisensory customer experiences ( Journal of Service Research , 2020). Stead collaborates across disciplines, including co-authored works with researchers like Dominik Mahr and Gaby Odekerken-Schröder, and contributes to understanding digital transformation, ethical AI, and smart hospital frameworks.

Edgar Vadimovich Vatamanitsaمشاهده پروفایل

استادیار

• Client-server programming
• Java and Android pattern development
• Application information systems
• +۶ مورد دیگر

Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)

Franc Solinaمشاهده پروفایل

استاد

• Computer Vision
• Human-Computer Interaction
• 3D Documentation
• +۶ مورد دیگر

Franc Solina is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana, Slovenia. He holds a Ph.D. from the University of Pennsylvania and has been active in academia since the 1990s. Education: Dipl.Ing. (1979) and M.S. (1982) in Electrical Engineering, University of Ljubljana Ph.D. (1987) in Computer and Information Science, University of Pennsylvania Research Interests: His work spans Computer Vision (superquadric modeling, underwater archaeology documentation), Human-Computer Interaction (interactive art installations, sign language technology), and Air Transport Applications (machine learning for aircraft trajectory prediction). He also explores Color-Based Applications and Visual Expression in art-technology intersections. Publication Trends: Franc's 15 most recent articles focus on superquadric modeling (1990-2004), underwater archaeology (2013-2015), and machine learning applications (2020). His work bridges theoretical computer vision with practical implementations in art and aviation. Students: He has supervised notable students like Marko Hrastovec (2018 thesis on aircraft trajectory prediction) and Tim Oblak (2020 work on superquadric deep learning). Labs & Teams: A key member of the University of Ljubljana's Computer Vision Laboratory , he collaborates with international researchers in projects like the Slovenian sign language web dictionary and air traffic safety initiatives .