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Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +13 more

Cao Jiannong is currently a Chair Professor and Director of the University Research Facility in Big Data Analytics at Hong Kong Polytechnic University . He has held academic roles including Assistant Professor at City University of Hong Kong and University Lecturer at the University of Adelaide and James Cook University. His research spans Cloud and Edge Computing , Parallel and Distributed Systems , Big Data Analytics , and Wireless Sensing . Ph.D. in Computer Science, Washington State University (1990) MSc in Computer Science, Washington State University (1986) BSc in Computer Science, Nanjing University, China (1982) His work focuses on solving theoretical and practical challenges in distributed computing , mobile cloud systems , and wireless sensor networks . Recent projects include coupled network embedding models for heterogeneous networks and SDN architectures for vehicular communication. His research also pioneers WiFi-based non-invasive health monitoring and fault-tolerant sensor deployment for structural health applications. Dr. Cao's publications highlight advancements in network embedding , edge computing , and WSN optimization . Key papers address multi-user computation partitioning , energy-efficient SHM systems , and consensus protocols for mobile networks. These works have been cited over 15,000 times, with an h-index of 60. Ministry of Education (China) Natural Science Award (2018) Distinguished Member, ACM (2017) Fellow, IEEE (2014) Best Paper Awards at IEEE DSAA, SMARTCOMP, and WCNC Dr. Cao has advised multiple PhD students, including Linchuan Xu and Weigang Wu , whose research on WSN-based SHM and coupled network embedding has practical impact. His leadership includes directing Hong Kong Polytechnic University's Big Data Research Facility and serving on technical committees for IEEE INFOCOM and ACM/IEEE conferences.

• Cloud and edge computing
• Parallel and distributed computing
• Big data analytics
• +2 more

Angelo Peccerillo is a distinguished Full Professor of Petrology at the University of Perugia, Italy, with an extensive academic career spanning multiple Italian universities. He previously served as Full Professor of Petrology at the Universities of Calabria (1993-1997) and Messina (1985-1993), and as Associate Professor of Volcanology (1982-1985) and Assistant Professor (1971-1982) at the University of Florence. He earned his Laurea Degree in Geology from the University of Florence in 1970 and has been a member of Academia Europaea since his election. Peccerillo's research focuses on the petrology and geochemistry of magmatic processes, with particular expertise in igneous petrology, geochemistry, volcanology, orogenic volcanism, and continental rift magmatism. His scholarly work has established him as a leading expert in understanding the complex relationships between mantle processes, crustal interactions, and volcanic activity in the Mediterranean region and beyond. His research methodology integrates petrological, geochemical, and geophysical approaches to develop comprehensive models of magmatic systems. Analysis of Peccerillo's recent publications reveals a consistent focus on magmatic processes across diverse geological settings. His work spans from detailed studies of specific volcanic systems like the Aeolian Islands and Ethiopian Rift to broader investigations of mantle structure and geodynamic processes in the Mediterranean region. A recurring theme is the integration of multiple analytical approaches to model magma plumbing systems, understand mantle composition, and elucidate the geodynamic evolution of volcanic regions, particularly examining the relationships between deep and shallow mantle processes. Antonio Feltrinelli Price 2006 for Earth Sciences, awarded by the National Academy of Lincei, Italy Professor Peccerillo has supervised numerous MSc and PhD students both at his home institution and abroad. His editorial leadership includes serving as Chief Editor of the "European Journal of Mineralogy" from 2006 to 2008 and membership on the editorial boards of several prestigious journals including "Lithos," "Journal of Volcanology and Geothermal Research," "Geological Society of Italy Bulletin," and "Open Mineralogy Journal." He has been actively involved in research evaluation, serving on national and international panels for organizations such as NSF, ESF, CNR, MIUR, and NATO. Peccerillo maintains strong international scientific connections through visiting positions at institutions like the Australian National University, University of Gottingen, and University of Paris XI at Orsay. His leadership extends to professional organizations, having served as President of the Italian Petrology Group and currently as a Member of Academia Europaea. His administrative experience includes serving as Department Head and Coordinator of PhD programs at the Universities of Messina, Cosenza, and Perugia.

• Igneous petrology
• Geochemistry
• Volcanology
• +2 more

Univ.-Prof. Torsten Möller, PhD is a Professor at the University of Vienna and serves as Head of the Research Group Visualization and Data Analysis and Head of the Research Network Data Science. His work spans data visualization, visual analytics, and human-computer interaction, with a focus on biomedical, environmental, and societal data applications. Academic rank: Professor Research group: Visualization and Data Analysis Network: Data Science Email: torsten.moeller@univie.ac.at Research interests include: Visual data analysis for complex systems Interdisciplinary applications in climate science and medicine Human-computer interaction in data exploration Image processing and computer graphics Recent publication trends show expertise in: Visualizing climate change and pandemic data Multi-volumetric and network analysis Algorithmic transparency and user-centered design Interdisciplinary collaborations (e.g., astrophysics, medical imaging) Statistical and uncertainty visualization Design frameworks for visualization recommendation Teaching includes courses in: Computer graphics and visualization Image processing and analysis Human-computer interaction Data analysis projects Doctoral research seminars

• Data Visualization
• Visual Data Analysis
• Data Science
• +3 more

Gerald Reiner serves as Head of the Institute for Production Management at the Vienna University of Economics and Business (WU), within the Department of Information Systems and Operations Management. He holds a Magister Degree, doctorate, and Habilitation in Business Administration from WU. His academic career includes positions as full professor in Production Management and Logistics at the University of Neuchatel (Switzerland, 2007-2014) and Universitaet Klagenfurt (Austria, 2014-2018), where he also served as head of the department of Operations, Energy, and Environmental Management. Dr. Reiner has held visiting professorships at Aston Business School (UK), HEC Lausanne (Switzerland), University of Bergamo, and Università Cattolica del Sacro Cuore in Milan (Italy). His research spans several critical areas including Industry 4.0 implementation, integrated capacity and inventory management, humanitarian logistics operations, circular supply chains, and operations management for base of the pyramid contexts. His work particularly focuses on practical applications addressing food waste reduction, sustainable manufacturing, and blockchain technology in supply chains. His publication portfolio demonstrates a clear evolution toward digital transformation in operations, with recent focus on hydrogen production systems, AI integration in manufacturing, and blockchain applications for food supply chain transparency. The research shows increasing emphasis on sustainability integration within traditional operations management frameworks, particularly addressing European manufacturing challenges and food system inefficiencies. Publication Excellence Award 2021 (2023) Researcher of the month (January 2023) Highly Commended paper in the 2017 Emerald Literati Network Awards for Excellence ISIR Service Award (2014) Emerald Outstanding Paper Award (2013) Dr. Reiner coordinates multiple significant international research projects including EU-project 'Keeping Jobs in EU', EU/Ecsel-project 'Power Semiconductor and Electronics Manufacturing 4.0', 'Integrated Development 4.0', and 'Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0'. His current projects focus on FOODIS (cross-border ecosystem for innovation in food supply chains), Circular Design implementation, and blockchain applications for banana supply chains. He actively supervises research teams working on food waste reduction, sustainable packaging systems, and AI applications in operations management.

• Circular Supply Chains
• Operations Management for Base of the Pyramid
• Humanitarian Logistics Operations
• +7 more

Prof. Rossella Ferrari holds a professorship in Chinese Studies at the Department of East Asian Studies, University of Vienna. Her research explores performance cultures across the Chinese-speaking world, with a focus on avant-garde theatre, transnational networks, and postsocialist transformations. Key contributions include the concept of 'pop avant-garde' and 'Xiqu 2.0,' examining how classical performance interacts with digital media. She co-edited Asian City Crossings (2021) and authored Transnational Chinese Theatres (2020). Current projects investigate 'performing postsocialism' and intercultural collaborations. Her work bridges disciplines like architecture, visual arts, and film, emphasizing methodologies rooted in Asian perspectives to challenge Eurocentric paradigms. Recent studies analyze pandemic impacts on transnational theatre networks and the role of cities as analytical frameworks. Collaborations with groups like Hong Kong's Zuni Icosahedron highlight her focus on boundary-crossing performance practices. Publications span monographs, edited volumes, and peer-reviewed articles addressing topics such as Brechtian influences in China, intertextuality in global performance, and avant-garde adaptations of classical works like Mudan Ting . Her research underscores the socio-political dimensions of artistic expression in East Asia, particularly in contested historical contexts.

• Performance Studies
• Theatre Studies
• Avant-Garde Theater
• +6 more

Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.

• Machine learning
• Artificial intelligence
• Signal processing
• +9 more

Benedikt Warth is a Full Professor for Food Chemistry and Exposome Research at the Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna (since 2022). He coordinates the Austrian node of the ESFRI research infrastructure EIRENE and leads the 'Global Exposomics and Biomonitoring Laboratory' since 2017. His work bridges chemistry and toxicology, focusing on exposomics and metabolomics to assess chemical exposure and its health impacts. Education: PhD in Analytical Chemistry (2012), Master’s in Biotechnology (2009), Bachelor’s in Food Science and Biotechnology (2007) Research interests center on exposomics , metabolomics , and analytical chemistry , particularly for environmental and food-related toxicants. Recent articles highlight advancements in mass spectrometry for exposome-scale analysis, combining targeted and non-targeted approaches, and exploring chemical interactions (e.g., xenoestrogens, mycotoxins, flame retardants) in biological systems. Key trends in his publications include: Development of hybrid LC-MS methods (targeted/untargeted) for sensitive exposomics Integration of AI and cognitive computing for pathway analysis Global biomonitoring of mycotoxins and xenobiotics in vulnerable populations Standardization frameworks for non-targeted analysis (SRT) Notable awards include the 2025 Chemical Research in Toxicology Young Investigator Award , Brigitte Gedek-Science Award , and multiple grants (ERC Consolidator, Erwin-Schrödinger Fellowship). He has delivered over 20 invited talks on exposomics, including sessions at ACS Fall Meetings and international conferences. His laboratory's projects span: Breast cancer exposomics (linking environmental exposures to disease onset) High-throughput sample preparation for exposome-wide studies Systems toxicology of chemical mixtures (e.g., flame retardants, mycotoxins) Development of global metabolomic assays for toxicity prediction

• Exposomics
• Metabolomics
• Analytical Chemistry
• +4 more

Professor Robert Eason is a leading academic at the University of Southampton, specializing in photonics and laser technology. His research spans interdisciplinary areas combining Machine Learning , Medical Diagnostics , and Microfluidics . Research Interests : Eason focuses on AI-driven laser applications, including deep learning for phototherapy , autonomous laser machining , and low-cost paper-based diagnostic devices . His work bridges photonics with biomedicine and advanced manufacturing. Recent Publications : His 2025 article in Scientific Reports explores AI simulations for psoriasis treatment, while 2024-2022 works address laser-controlled microfluidics, deep learning in microscopy, and reinforcement learning for laser machining. Supervision : He supervises PhD student Georgia Mourkioti in laser-based research projects. External Roles : Eason has served as a speaker at international conferences including the International Symposium on Laser Precision Microfabrication (2018), LAISER (2019), and Deep Learning for Control of Light-Matter Interactions (2022).

• Photonics
• Laser Technology
• Machine Learning
• +5 more

Armin Kirchknopf serves as a Junior Researcher at the Media Computing Research Group within the Institute of Creative Media/Technologies, Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. His interdisciplinary work bridges artificial intelligence, computer vision, and social media analysis, with significant contributions to misinformation detection and disaster response systems. Based at Campus-Platz 1 in St. Pölten, Austria, he actively collaborates on EU-funded projects and publishes in top-tier AI venues. His educational journey spans humanities and technology: a Bachelor of Arts in Egyptology and Master of Arts in Classical Archaeology from the University of Vienna (including fieldwork at excavation sites across Austria, Germany, and Egypt), followed by a Bachelor of Science in Media Technology from FH St. Pölten. This unique background informs his human-centered AI research approach. Kirchknopf's research centers on explainable multimodal AI systems for real-world challenges. His recent work demonstrates expertise in transformer-based architectures for cross-lingual fake news detection, sexism identification, and flood monitoring through social media imagery. He pioneers techniques like Grad-CAM for object detection explainability and develops visualization tools for complex data interpretation, emphasizing transparency and social impact in AI deployment. Analysis of his 13 publications (2017-2022) reveals a strategic shift toward applied AI in societal contexts , particularly using social media data for disaster management and combating online toxicity. His projects consistently integrate computer vision with natural language processing, showing increasing sophistication in multilingual capabilities and model interpretability frameworks. His scientific recognition includes: Creative Business Award for co-developing the Tenjin learning quiz application No documented student advisement or grant leadership appears in current records, though he actively mentors through project-based collaborations. His work with the Media Computing Research Group drives innovation in educational technology and public safety applications. Kirchknopf contributes to the Media Computing Research Group's portfolio including Fake News Detection, SAiEX (Safe AI with explainable integrity), InfraBase (building footprint segmentation), and Ressel Center music therapy projects. His cross-disciplinary collaborations span computer scientists, archaeologists, and social scientists, reflecting the group's commitment to human-centric technological solutions .

• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• +4 more

Judith Schoonenboom is a Professor at the University of Vienna and Deputy Head of the Department of Education. She teaches courses in quantitative and interpretive methodologies, research design, and PhD/master's thesis supervision, including seminars like 'Methodology and Research Design' and 'Quantitative Methodologies in Education Science'. Her academic responsibilities reflect a focus on advanced research methodologies in educational contexts. Schoonenboom's research centers on mixed methods and multimethod approaches in education science, emphasizing methodological innovation, data integration, and theoretical development. Key interests include the interplay between qualitative and quantitative research, design patterns in mixed methods, and strategies for enhancing inferential rigor in social science studies. Her work bridges epistemological frameworks with practical research applications. Her scholarly publications demonstrate a consistent focus on advancing mixed methods research, particularly through innovations in design, integration techniques, and theoretical reflection. Recent works explore causal inference in qualitative research, visualization of methodological interactions, and performative approaches, highlighting trends toward interdisciplinary synthesis and practical methodology refinement.

• Mixed Methods Research
• Education Science
• Research Methodology
• +2 more

Achille Varzi is a Full Professor of Philosophy at Columbia University since 2006, specializing in analytic metaphysics, logic, and mereology . His academic journey includes an Assistant Professorship at Columbia (1995–1999) and research roles in Artificial Intelligence at Trento’s Institute for Scientific and Technological Research (1989–1995). He earned his PhD from the University of Toronto (1994) under Hans G. Herzberger and holds an honorary professorship at Trento. Research Focus: Leading authority in mereology , exploring part-whole relations through numerous publications, edited volumes, and a forthcoming book with A.J. Cotnoir. His work bridges logic, ontology, and philosophy of language. Public Engagement: Active as a public intellectual with media contributions and a philosophical TV program on Italian national television. Publications Trends: Recent works emphasize classical mereology , ontological neutrality , and vagueness . Earlier contributions include foundational texts on spatial reasoning, identity, and paradoxes in logic. Scientific Awards: Recognized with prestigious fellowships and prizes in Italy and Canada, including the David Savan Dissertation Prize for his groundbreaking PhD thesis. Editorial Leadership: Serves as editor of The Journal of Philosophy since 2001.

• Analytic Metaphysics
• Mereology
• Logic
• +5 more

Stefan Büttner is Professor of Classics (Greek) at the University of Vienna , serving as Deputy Head of the Department of Classical Philology, Medieval and Neo-Latin Studies. His academic career spans institutions including Philipps University Marburg, University of Konstanz, and University of Vienna since 2011. Born 1986–1997: Studied Classical Philology and Philosophy at Johannes Gutenberg University Mainz, Ludwig Maximilian University Munich, and Philipps University Marburg. 1997: Doctorate at Marburg on Plato's Literary Theory. 2007: Habilitation in Classical Philology. 2011: Appointed Professor at University of Vienna. His research focuses on Ancient Philosophy , Antique Aesthetics , Greek Tragedy , and Reception History . Current projects include analyzing the modern self-perception of antiquity , the Euripides reception , and Artes Liberales educational programs . Recent publications explore: Euripides 's shifting image from antiquity to modernity. Mimesis in Platonic dialogues. Homeric elements in Aristotle's Rhetoric. Symmetry as a foundational concept in ancient aesthetics. He serves on editorial boards for Wiener Studien für Klassische Philologie and Eisodos. Zeitschrift für Antike Literatur und Theorie , and chairs the Society for Ancient Philosophy Austria . Supervised theses at University of Vienna include topics on Aristotelian analytics, Platonic deconstruction, and Chrysippus' Medea adaptation. Büttner leads research seminars on ancient rhetoric, metaphor theory, and the interplay of philosophy and tragedy. He co-founded the book series Philosophie und Literatur and Studien zu Literatur und Erkenntnis , emphasizing interdisciplinary approaches to classical studies.

• Ancient Philosophy
• Ancient Aesthetics
• Greek Tragedy
• +6 more

Andreas Lechner is an Associate Professor at Graz University of Technology (TU Graz) , Institute of Building Science. He is also a Visiting Professor at TU Berlin and Politecnico di Milano , indicating an international academic presence. His office hours are available on Tuesdays from 9:00-11:00, with portfolio requirements for diploma inquiries. Research Focus: Lechner's work explores architectural typologies, urban peripheries, and sustainable building practices. His research emphasizes the intersection of theory, design, and practice, particularly through counterintuitive approaches to architectural typologies and their affordances. Publications Trends: Recent work focuses on hybrid architectural practices, typological affordances, and peripheral urbanism. He examines how architectural typologies can be reimagined through the lens of the "Peripherocene," a concept challenging traditional urban center/periphery dichotomies. Design Philosophy: Lechner's "Counterintuitive Typologies" approach challenges conventional design paradigms, particularly in his analysis of urban buildings and their transformative potential. His work on solar energy integration in architecture demonstrates a commitment to sustainable design. Academic Contributions: Through his publications in journals like Journal of Architecture and edited volumes like GAM series, Lechner has been examining architectural theory, material rethinking, and the paradoxes of urban development since at least 2012. Professional Engagements: He has been involved in exhibitions and curation activities, including guest curatorship at Haus der Architektur in Graz. His personal website and social media presence ( @a_alechner ) demonstrate a commitment to public architectural discourse.

• Architectural Typology
• Sustainable Urban Transformation
• Solar Energy Integration in Architecture
• +3 more

Prof. Liew Kim Meow is a Chair Professor of Civil Engineering at City University of Hong Kong (CityU) since 2005. He previously served as Head of the Department of Architecture and Civil Engineering (2011–2017) and held tenured professorial positions at Nanyang Technological University (NTU), Singapore. He earned BS from Michigan Tech (1985), MEng (1988), and PhD (1991) from the National University of Singapore. His research focuses on composite materials, multiscale modeling, structural optimization, and computational mechanics. Notable contributions include pioneering work on carbon nanotube-reinforced composites and advanced numerical methods. He has published over 800 papers with 38,000+ citations (H-index 97). Education: BS, Michigan Technological University (1985) MEng, National University of Singapore (1988) PhD, National University of Singapore (1991) His awards include Clarivate Analytics' Highly Cited Researcher (2018–2019), Xiangjiang Scholar (2017), and multiple fellowships from professional institutions. He serves as Editor-in-Chief of International Review of Civil Engineering and holds editorial roles in over a dozen journals. He founded key research centers like the Nanyang Center for Supercomputing and Visualization (NTU) and led initiatives in computational mechanics. His work influences global research in composite materials and structural analysis.

• Composite Materials
• Multiscale Modeling
• Structural Optimization
• +5 more