Find Academic Supervisors

• Software Engineering
• Workflow Management Systems
• Image Analysis
• +2 more

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
• +6 more

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 TrpkovskaView profile

Associate Professor

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +4 more

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 NitzeView profile

Professor

• Internet of Things
• Digital Business Models
• Software Engineering
• +9 more

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
• +5 more

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 KroghView profile

Professor

• Strategic Management
• Digital Innovation
• Organizational Knowledge
• +3 more

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.

• Maritime Navigation
• Marine Engineering
• Human Factors in Maritime Systems
• +3 more

Reto Weber is a Lecturer in Technology at Chalmers University of Technology, specializing in Maritime Studies . With a professional background as a sea captain and pilot on the Swedish west coast, he brings practical maritime expertise to his academic work in bridge simulators and e-navigation systems. Education : Sea Captain's Degree, Master's from World Maritime University (Switzerland, England, Sweden) Affiliations : Chalmers University, Lighthouse - Swedish Maritime Competence Center, Swedish Transport Administration (Trafikverket) His research focuses on maritime navigation systems , particularly examining human factors in automated environments. Key areas include: Algorithmic decision support in maritime traffic Collision avoidance mechanisms Impact of automation on vessel traffic services Development of web-based simulation tools Route exchange protocols and e-navigation solutions Remote ship monitoring ergonomics Reto's publications reveal trends in SMART ship technologies and Lighthouse projects , emphasizing the integration of artificial intelligence with traditional maritime practices. His work spans simulation-based training tools, COLREG compliance, and physics-informed machine learning architectures for wind propulsion optimization. As an examiner for courses like MManeuvering and Navigation in Confined Waters and Bridge Service , he bridges academic research with practical maritime education through Chalmers' Full Mission Bridge Simulator . Collaborations with institutions like Lighthouse and Trafikverket demonstrate his commitment to advancing maritime safety and efficiency through technology.

Kathrin FiglView profile

Professor

• Human-Centric Information Systems Design
• Human-AI Interaction
• Algorithmic Management
• +7 more

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
• +4 more

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 VatamanitsaView profile

Assistant Professor

• Client-server programming
• Java and Android pattern development
• Application information systems
• +6 more

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 SolinaView profile

Professor

• Computer Vision
• Human-Computer Interaction
• 3D Documentation
• +6 more

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 .

Sotiria FotopoulouView profile

Lecturer

• Astrophysics
• Active Galactic Nuclei
• Galaxy Clusters
• +4 more

Sotiria Fotopoulou is a Lecturer in the School of Physics at the University of Bristol. Her research focuses on astrophysics, particularly in active galactic nuclei (AGN), quasars, galaxy clusters, and cosmic web structure. She contributes to the Euclid mission's scientific objectives through studies of photometric redshifts, galaxy evolution, and environmental effects. Current Project: Principal Investigator for 'Co-evolution or co-existence? Growth of supermassive black holes in next generation surveys' (2023-2024) Research Themes: Quasar census, slitless infrared spectroscopy for high-redshift objects, cosmic web reconstruction, intracluster light analysis, and gravitational lensing detection. Her work integrates Euclid data with machine learning techniques for galaxy morphology and photometric studies. Award: Recipient of Undergraduate Bursary Grant (2020)

Peter LongView profile

Researcher

• Remote Sensing
• Environmental Modeling
• Biodiversity
• +7 more

Dr Peter Long is a researcher at the University of Oxford specializing in satellite remote sensing and environmental modeling to study biodiversity, ecosystem services, and land cover dynamics. His work focuses on algorithm development for processing satellite data, high-performance computing, and GIS/RS software applications. Key projects: Biodiversity monitoring in Madagascar, Marine LEFT/LEFT tools, NaturEtrade, and Community-Based Conservation evaluation Technical expertise: Databases, R programming, web-based environmental tools, stakeholder engagement Research trends indicate interdisciplinary applications of remote sensing in conservation biology, agroforestry, and climate resilience. His publications span ecological modeling, historical land-use impacts, and wetland bird conservation. He has not been documented receiving scientific awards or mentoring students. No information is available about laboratory affiliations or team memberships.

Rodriguez Zalepinos Ramon AntonioView profile

Associate Professor

• distributed systems
• databases
• Big data
• +6 more

Dr. Ramon Antonio Rodriguez Zalepinos is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). With 16+ years of scientific and teaching experience, he specializes in geospatial data systems, distributed databases, and high-performance computing. Doctor of Science in Computer Science (2024) Candidate of Technical Sciences (2013) Master's in Computer Science (2008, Donetsk National Technical University) His research focuses on geospatial array databases , distributed systems , and Big Earth Data engineering , particularly through his ChronosDB and Quantum Tensor DBMS projects. He has pioneered cloud-native solutions for multi-terabyte environmental datasets and developed novel approaches for in-database road traffic simulations. Key publication trends show 7+ years of contributions to VLDB and SIGMOD conferences, with special emphasis on: Quantum-enhanced geospatial processing Web-based array database systems Cellular automata integration High-speed raster data aggregation Scientific recognition includes: Best Teacher award (2017-2021, 2023) HSE Personnel Reserve member Additional post-doctoral funding (2024-2027) Multiple publication bonuses (2019-2023) He supervises student research in geospatial data science and leads projects on satellite data processing systems, with implementations at major institutions including Amazon and Planet Labs.

Rebecca HedreenView profile

Researcher

• Information Science
• Library Science
• Health Sciences
• +5 more

Rebecca Hedreen serves as the Life and Clinical Sciences Librarian and Distance Learning Coordinator at Southern Connecticut State University's Hilton C. Buley Library. With expertise spanning biology, health sciences, nursing, psychology, and information literacy, she provides specialized research support to students and faculty across multiple disciplines. Her role encompasses developing subject-specific research guides, offering citation management instruction, and coordinating distance learning library services. Dr. Hedreen's research interests focus on information literacy in health sciences, citation management tools, nursing literature search methodologies, and virtual librarianship. Her work bridges traditional library services with digital innovations, particularly in supporting distance learners through technologies like screencasts and virtual environments. She has made significant contributions to understanding how librarians can effectively support evidence-based practice in nursing and healthcare education. Her scholarly output demonstrates consistent engagement with evolving library practices over nearly two decades, from early explorations of virtual reference services in Second Life to current work on citation collection methods and professional development for library staff. Recent publications highlight her focus on precise search strategies for nursing literature and innovative approaches to supporting online learners across time zones. As a dedicated educator, Dr. Hedreen provides extensive support through research consultations, classroom instruction, and online resources. She has developed numerous subject-specific research guides covering biology, nursing, psychology, and health sciences, helping students navigate complex information landscapes. Her commitment to open access and educational resources has informed her work on OER initiatives and citation management tools. Dr. Hedreen actively contributes to the library profession through her research on distance learning, virtual reference services, and information literacy assessment. Her work helps shape best practices for academic librarians supporting online and hybrid education models, particularly in health science disciplines where precise information retrieval is critical for evidence-based practice.