جست‌وجوی استاد و پژوهشگر

Joachim Henkelمشاهده پروفایل

استاد

• Patent Management
• Technology Standards
• Digitalization
• +۴ مورد دیگر

Prof. Joachim Henkel is a Professor of Technology and Innovation Management at the Technical University of Munich (TUM), holding the Dr. Theo Schöller Endowed Chair. He specializes in patent management, standards, digitalization, and open innovation. Henkel earned his PhD in Economics from the University of Mannheim and habilitation in Business Administration from Ludwig Maximilian University of Munich. His research bridges strategic management, IP law, and innovation economics, with notable contributions to understanding patent ecosystems, open source development, and venture capital dynamics. He advises ICT firms on patent disputes and standards and has held visiting roles at MIT, Harvard, and Singapore Management University. Education: PhD in Economics (University of Mannheim, 1997), Habilitation in Business (LMU Munich, 2004), Physics Degree (University of Bonn, 1991). Research Focus: Standards essential patents (SEPs), innovation governance, and the strategic role of data in AI. Awards: Walter Rathenau Prize (2004), multiple paper awards, and recognition for contributions to open innovation and IP strategy. Grants & Collaborations: Editor of Academy of Management Discoveries , funded by DFG, Thyssen Foundation, and others. His work addresses blockchain-based trust systems, IoT licensing, and synthetic biology IP frameworks.

Alisa Lorenzمشاهده پروفایل

مدرس

• Business Intelligence
• Data Analytics
• Smart Cities
• +۴ مورد دیگر

Alisa Lorenz is a Lecturer for Business Intelligence and Research Associate for the VLUID project at Technische Hochschule Mittelhessen (THM) in Gießen, Germany, while pursuing her PhD in Information Systems at the University of Cologne. With over 7 years of industry experience in Data & Analytics, Business Intelligence, and Project Management, she bridges academic research and practical application in smart city development. Her research focuses on the intersection of smart cities, technology acceptance, and data-driven traffic management. Specifically, she investigates how citizen science approaches influence technology acceptance and adoption in smart city contexts, with a particular emphasis on intelligent traffic management applications. Her work combines business intelligence methodologies with urban planning considerations to develop more effective and user-accepted smart city solutions. Best Paper Award at the International Conference on Software Business (ICSOB) 2022, Bolzano As an educator, she lectures on Business Intelligence for master's courses in Digital Business and Corporate Management at THM. She actively supervises student theses on emerging topics such as Data Mesh architecture and its implications for data-driven organizations. Currently, she is working on the VLUID project in Wetzlar, funded by the German Federal Ministry for Digital and Transport, which aims to revolutionize traffic management through data-driven approaches and intelligent solutions developed in collaboration with citizens.

Xin Liuمشاهده پروفایل

استاد مدعو

• Machine Learning
• Cybersecurity
• Network Security
• +۳ مورد دیگر

Xin Liu is an Adjunct Professor in the Department of Civil Engineering at the Faculty of Engineering. His research focuses on cybersecurity, machine learning applications, and IoT security, with a particular emphasis on network intrusion detection, data compression, and risk-aware access control systems. He holds a Ph.D. from the University of Ottawa, Canada, and M.Sc. and B.Sc. degrees from Hebei University of Technology, China. Education: Ph.D., University of Ottawa, Canada M.Sc., Hebei University of Technology, China B.Sc., Hebei University of Technology, China Research Interests: Dr. Liu's work bridges machine learning and cybersecurity, addressing challenges in IoT security, adversarial attacks, and network traffic analysis. His contributions include developing AI-driven intrusion detection systems, optimizing data compression techniques for IoT devices, and formulating risk-aware access control frameworks. Recent efforts focus on advanced persistent threats (APTs) and privacy leakage mitigation in language models. Articles Trends: His publications emphasize practical applications of machine learning in cybersecurity, including network attack detection, privacy-preserving methods, and resilient IoT infrastructure. Recent work highlights innovations in transformer-based models for intrusion detection and realistic benchmarking for APT simulations. Awards: No scientific awards explicitly mentioned in the provided materials. Advising & Grants: No advising records or grant information available in the current data. Labs/Teams: No specific lab affiliations or collaborative teams noted in the profile.

• Complex Event Processing
• Healthcare Informatics
• Semantic Computing
• +۵ مورد دیگر

Fabio Persia is a Professor at the University of Naples Federico II with an extensive publication record spanning 15 years (2009-2025), demonstrating continuous academic engagement. His research portfolio spans multiple institutions through collaborations with over 70 co-authors, most notably Daniela D'Auria (43 publications), Mouzhi Ge (17), and Giovanni Pilato (14). Dr. Persia's research interests focus on the intersection of semantic computing, event processing, and practical applications. His work evolved from foundational contributions to multimedia recommender systems (2013) to developing the ISEQL interval-based surveillance event query language (2016), and most recently to healthcare AI applications. He has pioneered complex event processing frameworks for video surveillance, created multi-agent systems for epilepsy detection (PredictMed-epilepsy), and explored social sensing for personalized routing during the pandemic. His recent work increasingly integrates large language models with healthcare monitoring systems, reflecting current AI trends. Analysis of his publication trends since 2020 reveals a strong healthcare focus (65% of recent work), particularly in patient monitoring architectures, clinical decision support, and medical AI integration. His publications demonstrate consistent methodological rigor across domains, often combining semantic computing with real-time event processing to address practical challenges in healthcare and social computing contexts. Dr. Persia has served as guest editor for six special issues in the International Journal of Semantic Computing (2023-2025) covering Robotic Computing, Transdisciplinary AI, and Multimedia Computing, confirming his leadership in these research communities. His editorial roles complement his extensive publication record, which includes 25 journal articles and 76 conference papers. His collaborative research includes significant projects with Stefania Costantini on patient monitoring systems, with Mouzhi Ge on multimedia recommenders, and with Sven Helmer on interval joins and event detection. While specific grant information isn't detailed in publications, his sustained output suggests successful funding from multiple sources. His current research trajectory indicates growing emphasis on LLM integration in medical contexts and context-aware systems for public health applications.

• Cognitive Linguistics
• Sociolinguistics
• World Englishes
• +۳ مورد دیگر

Prof. Alexander Onysko is a full-time Professor and Head of the Institute of English and American Studies at the University of Klagenfurt's Faculty of Cultural and Educational Sciences. His academic roles include membership in the Curricular Commission for English and American Studies and the Faculty Conference. His research focuses on cognitive linguistics, sociolinguistics, and world Englishes, with particular interest in language contact, multilingualism, and conceptual metaphors. Recent research projects explore interdisciplinary topics like media literacy, swarm intelligence in robotics, and sustainable business ecosystems. Notable publications in 2025 address online political avoidance, robotic exploration algorithms, and healthcare workforce retention during pandemics. He actively contributes to academic administration and has supervised multiple institutional innovation projects. His work bridges linguistic theory with practical applications in education and technology-driven solutions.

• Organizational Behavior
• Work Design
• Gig Economy
• +۳ مورد دیگر

Fabiola Bertolotti is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. Her research focuses on organizational behavior, work design in digital platforms, gig economy dynamics, and multiple team membership (MTM). She teaches courses such as 'Organizational Systems and Behavior' for Management Engineering students, emphasizing strategic design, group dynamics, and leadership theories. Her work integrates empirical studies with interdisciplinary frameworks to address contemporary workplace challenges like algorithmic work environments and hybrid collaboration. Key research interests include the impact of technology on work-life balance, algorithmic governance in online labor markets, and identity formation in inter-organizational partnerships. She has published extensively on topics like crowdwork platforms, MTM's influence on career trajectories, and boundary spanning in innovation projects. Her studies often employ mixed-methods approaches, combining field observations with surveys and interviews. Bertolotti's contributions bridge organizational theory, management practices, and technological advancements, offering insights into future of work dynamics. Her recent publications explore algorithmic embeddedness in gig work, dynamic stereotyping in academic-practitioner exchanges, and the trade-offs between creativity and work-life balance in collaborative spaces. While no specific awards are listed, her prolific output reflects significant scholarly impact. Teaching responsibilities include guiding students through foundational concepts in organizational theory and strategic design, with a focus on real-world case analysis and participatory learning.

Josep Casanovasمشاهده پروفایل

استاد

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +۴ مورد دیگر

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

Amélie Gourdon-Kanhukamweمشاهده پروفایل

مدرس

• Social Psychology
• Judgment and Decision-Making
• Health Communication
• +۴ مورد دیگر

Dr. Amélie Gourdon-Kanhukamwe is a Lecturer in Neuroscience and Psychology Education at King's College London's Department of Neuroimaging, part of the Institute of Psychiatry, Psychology & Neuroscience. She specializes in experimental social psychology, focusing on decision-making under uncertainty, health communication, and neurodivergence in academia. She contributes to the Psychological Science Accelerator for large-scale replication studies and actively promotes open scholarship practices. As deputy programme leader for the BSc Neuroscience and Psychology, she teaches statistics using R and open science principles. Research Interests : Judgment/decision-making, verbal uncertainty interpretation, autonomy-focused health communication, neurodivergence in academia, and open science methodologies. Current projects include workplace accommodations for neurodivergent individuals and biases in medical communication involving neurodivergent patients. Publications Trends : Recent work emphasizes replicability in psychological science, neurodiversity advocacy, and pedagogical strategies for open scholarship. Key contributions include multi-lab cognitive dissonance studies and frameworks for participatory research in neurodiversity. Awards : None explicitly listed in provided texts. Grants/Advising : Collaborates with students on neurodivergence research projects. Leads initiatives integrating open science into curricula and promoting accessible academic practices. Active member of the Society for Improvement of Psychological Science and Psychological Science Accelerator. Labs/Teams : Manages a lab focused on replicability and neurodiversity research, collaborating internationally through multi-institutional projects.

Dariusz Królمشاهده پروفایل

استاد

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +۵ مورد دیگر

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

• Parallel Programming
• Communicating Sequential Processes
• Software Systems
• +۴ مورد دیگر

Professor Jon Kerridge is a distinguished academic at the School of Computing, Edinburgh Napier University, where he has made significant contributions to parallel programming, software systems, and database applications. With a career spanning several decades, he has published extensively in the field of computer science and has supervised numerous PhD students. BSc, MSc, PhD Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) Professor Kerridge's research primarily focuses on parallel programming models, particularly through his work on the Groovy Parallel Patterns Library and Communicating Sequential Processes (CSP). His research spans multiple domains including software engineering, database systems, and interdisciplinary work in neuroscience related to dyslexia. He has also made significant contributions to pedestrian movement modeling and evolutionary algorithms. His publications demonstrate a consistent focus on practical software engineering solutions for parallel and distributed systems. The research trajectory shows progression from foundational work in computer architecture education in the 1980s through database systems in the 1990s-2000s to modern parallel programming frameworks. His interdisciplinary work connecting computer science with visual processing in dyslexia represents an innovative application of computational approaches to neuroscience problems. Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) Professor Kerridge has supervised several PhD students to completion, including Kevin Chalmers (Investigating communicating sequential processes for Java to support ubiquitous computing) and Robert Kukla (A software framework for the microscopic modelling of pedestrian movement). His research has been supported by Edinburgh Napier University funding, with applications ranging from healthcare systems to pedestrian flow optimization. He is a key member of the Centre for Algorithms, Visualisation and Evolving Systems at Edinburgh Napier University, where his work continues to influence both theoretical and applied aspects of computing.

Christos Tryfonopoulosمشاهده پروفایل

دانشیار

• Information Retrieval
• Information Filtering
• Personal Information Management
• +۲۰ مورد دیگر

Christos Tryfonopoulos is an Associate Professor and Head of the Department of Informatics & Telecommunications at the University of the Peloponnese, where he leads the Software and Database Systems (SoDa) Lab. His academic career spans prestigious institutions including the Max-Planck Institute for Informatics in Germany, where he led the P2P and Information Management research area from 2006-2009, and the Technical University of Crete, where he completed his PhD and MSc degrees. His research interests focus on information management, distributed systems, digital libraries, and data/user anonymity. His work bridges theoretical foundations with practical applications across diverse domains including environmental monitoring, cybersecurity, cultural heritage, and medical informatics. He has developed innovative frameworks for pollution prediction, cyber-threat intelligence, and academic expertise mapping that demonstrate the interdisciplinary nature of his research. Professor Tryfonopoulos has published over 80 papers in top-tier journals and conferences including TOIS, TKDE, SIGIR, and SIGMOD. His recent work shows a strong trend toward applying machine learning techniques to information management problems, with publications spanning environmental science, cybersecurity, and bibliometrics. His research group has developed several significant tools including VeTo+ for expert set expansion, inTIME for cyber-threat intelligence, and Hydria for cultural heritage analytics. Candidate for best research paper in ESWC 2016 conference Honorable mention for best poster (3rd place) in ESWC 2012 conference Award as Distinguished Scientist Excelling in Research Abroad (2008) Best student paper award in ECDL 2005 conference Heraclitus PhD fellowship from Greek Ministry of Education (2002-2005) National Scholarship Foundation of Greece (IKY) scholarship (1998) Professor Tryfonopoulos has supervised 5 PhD students (3 in progress), 19 MSc students, and 31 BSc students. He has led or participated in 13 competitive EU and national research projects including ENIRISST+ for shipping and transport infrastructure, WeCare for student support structures, and FORESIGHT for cybersecurity simulation. His current research focuses on intelligent infrastructure for transportation logistics, cyber-threat intelligence systems, and educational technologies for data science.

James Jordanمشاهده پروفایل

استاد

• Holocaust Studies
• Media Studies
• Film and Television Studies
• +۵ مورد دیگر

Professor James Jordan is a faculty member at the University of Southampton, serving as Head of the Department of English and co-editor of Holocaust Studies . He holds affiliations with the Parkes Institute for Jewish/non-Jewish Relations and the Centre for Modern and Contemporary Writing. His research focuses on Holocaust representation in media, post-war British media, and cultural studies. He earned his PhD in 2014 with a study on Holocaust narratives in American film and has held roles including the Ian Karten Fellow and Karten Professor in Jewish/non-Jewish Relations. Education: B.A. English and History (University of Southampton), M.A. Jewish History and Culture, PhD in Film Studies. Current projects include analyzing BBC's Holocaust coverage and exploring location-based narratives via the Leverhulme Trust-funded Story Places initiative. Awards include the Ian Karten Fellowship (2005-06). Teaching spans English, Film, and History, emphasizing Holocaust studies, media historiography, and cultural representation. He supervises PhD students in English and History and advises on grants such as the British Academy-funded Legacies of the Jewish Other in Slavic Horror Film . Grants: British Academy, Leverhulme Trust, Rothschild Foundation Labs/Teams: Parkes Institute, Centre for Modern and Contemporary Writing

Kyle Steinfeldمشاهده پروفایل

دانشیار

• Computational Design
• Design Computation
• Artificial Intelligence in Design
• +۳ مورد دیگر

Kyle Steinfeld is an Associate Professor of Architecture and Director of the Master of Design program at the University of California, Berkeley, College of Environmental Design. His work bridges computational design methods and architectural practice, emphasizing critical engagement with software and data. He teaches design studios, visualization courses, and seminars in digital design theories. Master of Architecture, MIT (2004) Bachelor of Design in Architecture, University of Florida (1999) Steinfeld's research explores the intersection of architecture and computational design, focusing on bioclimatic information design, software development, and the social implications of digital tools. His creative work has been exhibited at NeurIPS workshops and published in Towards Data Science . He has received notable awards including the IDEA Studio Fellowship (2013), Hellman Fellowship (2012), and multiple research grants like the Faculty Research Grant for "Decod.es" (2013) and the Research Enabling Grant for "Dhour" (2011). Steinfeld has taught core architectural design courses and contributed to software development for design computation.

Joey van Angerenمشاهده پروفایل

دانشیار

• Digital Platforms
• Business Models
• Competitive Strategy
• +۳ مورد دیگر

Dr. Joey van Angeren is an Associate Professor at the KIN Center for Digital Innovation within the School of Business and Economics at Vrije Universiteit Amsterdam. He holds a PhD in Innovation Management from Eindhoven University of Technology, an MSc (cum laude) in Business Informatics from Utrecht University, and a BSc in Information Science from Utrecht University. His research focuses on the intersection of strategy and technology, particularly digital platforms, with publications in journals like Strategic Management Journal and Organization Science. He has been recognized with multiple Best Reviewer Awards from the Academy of Management's TIM Division (2018, 2019, 2024) and his dissertation was a finalist for the Best Dissertation Award. Research interests include platform ecosystems, competitive strategy, and optimal distinctiveness in digital markets. He teaches courses on digital innovation, information systems, and research methods, including 'Introduction to Digital Innovation' and 'Analyzing Digital Data in Business Research'. Education: PhD in Innovation Management, Eindhoven University of Technology MSc (cum laude) in Business Informatics, Utrecht University BSc in Information Science, Utrecht University Projects: Active in the EDIH NWNL project focusing on SME digitalization, AI transformation, and High Performance Computing. Awards: 3 Best Reviewer Awards (TIM Division, Academy of Management), Dissertation Finalist (2020), and Student Paper Award (2016). Grants: Multiple grants including Best Reviewer recognitions and project funding. His research explores platform governance, venture capital impacts, and complementor dynamics. Recent articles analyze M&A activity in platform ecosystems, moral motives in governance, and optimal revenue model strategies. He actively participates in workshops and lectures on AI and digital innovation.

• Artificial Intelligence
• Multi-Agent Systems
• Social Network Analysis
• +۵ مورد دیگر

Gita Reese Sukthankar is a Professor at the University of Central Florida, specializing in artificial intelligence, multi-agent systems, and social network analysis. Her work integrates machine learning, human-robot interaction, and collaborative systems to address challenges in decentralized task allocation, online community dynamics, and human-machine teaming. She has contributed to projects involving agent-based modeling, reinforcement learning, and ethical AI applications in open-source software and policy discourse moderation. Affiliations: University of Central Florida Key Research Areas: Multi-Agent Systems, Social Network Analysis, Reinforcement Learning, Human-Computer Interaction Her research explores topics such as conflict prediction in team dialogues, bot impact on GitHub workflows, and chess mastery analysis using language models. She has co-authored over 185 publications in top venues like AAAI, AAMAS, and IROS, often collaborating with researchers like Rahul Sukthankar, Katia Sycara, and Kiran Lakkaraju. Her work bridges theoretical AI advancements with practical applications in robotics, software development, and policy analysis, emphasizing ethical considerations and scalable solutions.