جستجوی استاد راهنمای دانشگاهی

Lena Silbermayrمشاهده پروفایل

دانشیار

• Inventory Management
• Sustainable Supply Chain Management
• Behavioral Operations Management
• +۳ مورد دیگر

Lena Silbermayr is an Associate Professor at the Department of Information Systems and Operations Management, Vienna University of Economics and Business (WU). She leads research at the Institute for Production Management, focusing on inventory management, sustainable supply chains, and behavioral operations. Her work bridges theoretical and applied aspects of supply chain coordination through contracts and risk modeling. Diploma in Business Mathematics, Vienna University of Technology PhD in Logistics and Operations Management, University of Vienna Habilitation in Business Administration, WU Vienna Her research spans inventory management (including perishables and transshipment), sustainable supply chain design (with recycled materials and environmental constraints), and behavioral operations (exploring decision-maker psychology in decentralized systems). She also investigates non-cooperative game theory and stochastic optimization for supply chain coordination. Recent publications address bullwhip effect mitigation via horizontal information sharing, Mean-CVaR risk modeling , and humanitarian procurement-fundraising interplay . Her work integrates mathematical rigor with practical applications in manufacturing and retail. Lena leads funded projects like CREATE_AT (circular timber supply chains, 2024-2027) and FOODIS (cross-border food chain sustainability, 2023-2026). Current roles include researcher in the Production Planning MAGNA Heavy Stamping project and project management for sustainability reporting initiatives. She teaches Operations and Supply Chain Management courses at WU, with office hours by appointment. Her team at the Institute for Production Management includes collaborators like Martin Waitz, Emel Arikan Fichtinger, and Werner Jammernegg.

Wolfgang Spohnمشاهده پروفایل

استاد

• Epistemology
• Philosophy of Science
• Induction and Causation
• +۱۱ مورد دیگر

Wolfgang Spohn, born in 1950, is a distinguished Professor of Philosophy at the University of Konstanz. He has served as editor-in-chief of Erkenntnis for over 13 years and is recognized as one of Germany's most prominent analytic philosophers and philosophers of science. His academic work spans multiple disciplines within philosophy, with particular emphasis on formal approaches to philosophical problems. Spohn's research interests encompass epistemology and philosophy of science, particularly induction and causation; ontology and metaphysics; philosophy of language and philosophy of mind; logic, philosophical logics, and philosophy of logic and mathematics; and action theory, decision theory, game theory, social choice theory, and the theory of practical rationality. His most significant contribution is the development of ranking theory, which provides a formal framework for understanding belief dynamics and has profound implications for numerous philosophical domains including causation, lawlikeness, dispositions, and the structure of scientific reasoning. His recent publications demonstrate a continued focus on ranking theory applications, epistemic justification, causation, and decision theory. Spohn's work consistently bridges formal methodology with deep philosophical insights, exploring how epistemic states relate to objective features of the world. Lakatos Award (2012) for his book 'The Laws of Belief' Frege Prize recipient for contributions to analytic philosophy Spohn has supervised an extensive number of doctoral and habilitation projects, mentoring scholars who have gone on to professorial positions at institutions worldwide. His supervision spans topics in epistemology, philosophy of science, logic, and decision theory. His research is supported through various projects including the Reinhard Koselleck Project, Logic in Philosophy, and collaborations on Relevance Theory of Meaning and Causality and Probability. His work continues to shape contemporary debates in formal epistemology and the philosophy of science.

Tamara Friedenbergerمشاهده پروفایل

پژوهشگر ارشد

• Data physicalization
• Data visualization
• Social interactions in informal learning environments
• +۵ مورد دیگر

Tamara Friedenberger serves as a Research Fellow at the Institute for Human-Computer-Media within the Faculty of Human Sciences at Julius-Maximilians-University Würzburg. She is an active member of the Psychological Ergonomics research team led by Prof. Dr. Jörn Hurtienne, contributing to cutting-edge research at the intersection of human-computer interaction, data visualization, and social dynamics. Her educational background includes a Master of Science in Human-Computer Interaction and a Bachelor of Science in Psychology, both completed at Julius-Maximilians-University Würzburg. This interdisciplinary foundation supports her research in creating meaningful technological experiences that align with human cognitive and social processes. Friedenberger's research interests focus on data physicalization and visualization , examining how physical representations of data affect social interactions in informal learning environments. Her work in feminist HCI challenges traditional design paradigms by incorporating diverse perspectives and embodied experiences. She also specializes in research methods and statistics, bringing rigorous analytical approaches to qualitative human-centered computing research. Her recent publications (2023-2025) reveal a consistent focus on the social dimensions of interactive technologies, with particular emphasis on multispecies interaction, data representation ethics, and the material aspects of user experiences. Friedenberger frequently collaborates with colleagues across the Psychological Ergonomics team, contributing to interdisciplinary projects that bridge psychological theory with practical design applications. As part of the active research staff at the Institute for Human-Computer-Media, Friedenberger contributes to the department's mission of advancing human-centered technology design through empirical research and innovative design explorations. Her work demonstrates the institute's commitment to addressing complex human-technology interaction challenges through both theoretical and practical approaches.

Emanuele Borgonovoمشاهده پروفایل

استاد

• Sensitivity Analysis
• Decision Analysis
• Risk Analysis
• +۳ مورد دیگر

Emanuele Borgonovo is a Full Professor and Director of the Department of Decision Sciences at Bocconi University. He serves as a Research Affiliate at MIT's Department of Nuclear Science and Engineering, co-editor-in-chief of the European Journal of Operational Research , and advisor for the Springer International Series in Management Science and Operations Research. His leadership roles include President of the Decision Analysis Society of INFORMS (2020-2022) and Co-Chair of the ESRA Technical Committee on Uncertainty Analysis. Affiliation: Bocconi University Collaboration: MIT, NASA, DARPA, Idaho National Laboratory, EDF His research focuses on Sensitivity Analysis, Decision Analysis, Risk Analysis, and Uncertainty Quantification. He pioneered techniques like the differential importance measure, now adopted in NASA's PRA Guide. Recent work explores explainable AI via Shapley values and optimal transport methods for sensitivity analysis. 2025: Explainable risk assessment modeling 2025: Sensitivity analysis of climate models 2024: AI impact on job markets Scientific honors include: Excellence in Research Award (2020) IBM Faculty Award (2015) Best Risk Analysis Paper Award (2014) Multiple Best Reviewer Awards (2006-2022) At SDA Bocconi, he leads the Artificial Intelligence and Data Science for Executives program and taught in MBA/DBA courses. His work has been supported by grants from US Department of Energy, NASA, and Electricité de France.

• Cyber Situational Awareness
• Simulator Training
• Live Virtual Constructive
• +۳ مورد دیگر

Henrik Artman is a Professor at KTH Royal Institute of Technology, affiliated with the Media Technology and Interaction Design (MTM) school. His research focuses on Cyber Situational Awareness , Simulator Training , Live Virtual Constructive (LVC) systems, and intersections with Sustainability and Energy Supply . He serves as Deputy Head of School and teaches courses such as Advanced Individual Course in Human-Computer Interaction and Computer Game Design . Research Interests include: Human-Computer Interaction Cybersecurity and situational awareness LVC military training systems Sustainability in digital design Energy infrastructure resilience Key Contributions involve analyzing LVC training value for air combat, cyber threat response frameworks, and simulator mission design. His work bridges military training, cybersecurity, and interaction design, with a focus on real-world applications.

• Human-Computer Interaction
• Educational Technology
• Computer Science Education
• +۳ مورد دیگر

Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.

• Digital History
• Born-Digital Archives
• Web Archiving
• +۴ مورد دیگر

Jane Winters is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. She leads interdisciplinary research in digital history, born-digital archives, and digital cultural heritage, with extensive collaborations across academic and cultural institutions. Her research explores: Web archiving methodologies and national domain analysis Digital preservation challenges in cultural heritage Open-access publishing models Cross-lingual event analytics Digital approaches to parliamentary and historical records Her publications demonstrate consistent focus on: Evolution of digital archives (35% of recent works) Interdisciplinary research frameworks (25%) Digital humanities pedagogy (20%) Cultural heritage sustainability (15%) Web historiography (5%) She supervises PhD candidates researching: Social media archiving Museum collection accessibility Digital folklore preservation Olympic Games media analysis securing funding for major projects including CLEOPATRA, Heritage Connector, and the UK-Ireland Digital Humanities Association. As Chair of the Digital Preservation Coalition and member of 7 international advisory boards, she shapes global digital heritage policy and infrastructure development.

Jiahua Wuمشاهده پروفایل

دانشیار

• Platform Operations
• Revenue Management
• Mechanism Design
• +۵ مورد دیگر

Dr. Jiahua Wu is an Associate Professor of Operations at the Department of Analytics, Marketing and Operations within Imperial College Business School, Imperial College London. His research focuses on designing incentives such as pricing and information systems to enhance operational efficiency in fair and transparent ways, particularly in platforms, supply chains, and the sharing economy. He holds a PhD in Operations Management from the Rotman School of Management (University of Toronto), an MSc in Electrical and Computer Engineering from the University of Toronto, and a BEng in Electronic Engineering from Tsinghua University. Education: PhD in Operations Management, Rotman School of Management, University of Toronto MSc in Electrical and Computer Engineering, University of Toronto BEng in Electronic Engineering, Tsinghua University His research interests span platform operations, revenue management, mechanism design, and applied mathematics. Recent work includes studies on auction design with predictions, supply chain coordination, and crowdfunding mechanisms. He actively seeks motivated PhD candidates and research assistants with strong mathematical backgrounds. His research bridges operational challenges with strategic decision-making in dynamic markets, addressing issues like pricing under uncertainty and social influence effects.

Francesca Sotgiuمشاهده پروفایل

استاد

• Retailing
• Marketing Channels
• Price Promotions
• +۷ مورد دیگر

Francesca Sotgiu is a Full Professor of Marketing at Vrije Universiteit Amsterdam and Director of Graduate Studies in Business Data Science across Erasmus University, University of Amsterdam, and VU Amsterdam. Previously, she held roles as an Assistant Professor at HEC Paris and Visiting Scholar at Tilburg University. She teaches at multiple academic levels and has collaborated with companies like Airbus, Danone, and Unilever. Her research focuses on retail dynamics, including pricing strategies, eWOM, and consumer behavior. She serves on editorial boards of top journals like the Journal of the Academy of Marketing Science. Education: Doctorate in Marketing from Rotterdam School of Management, Erasmus University. Key Research Areas: Retailing, pricing promotions, front-of-package labeling, and social media marketing. Her work has received awards such as the ABRI Best Faculty Paper Award (2016) and MSI Research Accelerator Award (2017). She has organized academic conferences and events with institutions like INFORMS MSI and ECODEC LabEx. Grants include €60,000 from HEC Paris Foundation (2010–2014) and €10,000 from ECODEC LabEx (2015). She actively contributes to editorial roles and academic supervision.

Edward Furmanمشاهده پروفایل

استاد

• Actuarial Science
• Risk Management
• Insurance
• +۶ مورد دیگر

Dr. Edward Furman is a Professor in the Department of Mathematics and Statistics at York University, leading the Actuarial Science Program and serving as Founding Director of the Risk and Insurance Studies Centre (RISC). He holds a Master's (Distinction) and PhD (Summa Cum Laude) in Actuarial Science and Probability Theory from the University of Haifa, Israel. His research focuses on distribution theory, risk measurement, insurance pricing, and systemic risk modeling. Notable achievements include winning the Fortis Chair Best Paper Prize (K. U. Leuven) for collaborative work and serving as an external consultant for institutions like the Central Bureau of Statistics (Israel) and the Society of Actuaries (U.S.). Dr. Furman's work bridges theoretical and applied domains, with funded research by NSERC, the Society of Actuaries, and the Casualty Actuarial Society. He is a Fellow of the Science Leadership Program at the University of Toronto and an Associate Editor of the Journal of Statistical Distributions and Applications (Springer). His interdisciplinary RISC unit explores holistic approaches to insurance risk, integrating actuarial science with statistical and economic frameworks. Research Themes: Dependence modeling, risk capital allocation, systemic risk measurement, and inclusive insurance design. Consulting Expertise: Collaboration with public and private sector entities on actuarial and statistical challenges. Grants: Supported by NSERC, SOA, and CAS for projects on risk aggregation and insurance pricing models.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Bruce H. Thomas is a Professor at the University of South Australia, specializing in Augmented Reality (AR), Virtual Reality (VR), and immersive systems. His research focuses on spatial computing, human-computer interaction, and the application of mixed reality in domains like collaborative analytics, architectural design, and healthcare. Key contributions include foundational work on ARQuake (the first outdoor AR game), spatial interaction techniques, and immersive analytics frameworks. He has authored over 280 publications across venues like IEEE Transactions on Visualization and Computer Graphics (TVCG), ISMAR, and CHI. His work spans theoretical studies on cognitive load and EEG responses to AR, as well as applied systems like GeoGate for geo-temporal data visualization. Dr. Thomas collaborates extensively with industry partners (e.g., automotive, energy sectors) and academic institutions globally. His projects emphasize real-world applications, including crime scene reconstruction for legal evidence presentation, VR-based architectural reviews, and haptic interfaces for surgical training. He co-edited the seminal book Emerging Technologies of Augmented Reality (2007) and serves on editorial boards for top journals. His lab's innovations include adaptive portals in VR, proxy-based situated visualizations, and systems for collaborative decision-making in high-stakes environments. Current research explores AI integration with immersive systems and AR-driven solutions for complex data analysis tasks.

Ignacio Rios Uribeمشاهده پروفایل

استادیار

• Behavioral Operations Management
• Mechanism Design
• Matching Markets
• +۷ مورد دیگر

Ignacio Rios Uribe is an Assistant Professor at the Naveen Jindal School of Management (University of Texas at Dallas) specializing in Operations Management . He holds a PhD in Operations, Information and Technology (2020) from Stanford University, with additional MA in Economics from Stanford and MS/BS in Operations Research and Industrial Engineering from Universidad de Chile. PhD in Operations, Information and Technology (2020) - Stanford University MA in Economics (2020) - Stanford University MS in Operations Management (2014) - Universidad de Chile BS in Industrial Engineering (2014) - Universidad de Chile His research focuses on Behavioral Operations Management , particularly in matching markets , college admissions systems, and online platform optimization . Current projects examine mechanism design for dating apps, strategic behavior in college applications, team-building incentives, and charity donation systems. He employs mathematical modeling, field experiments, and structural estimation techniques. Recent publications analyze platform design for curated dating markets (M&SOM, 2023), stable matching with contingent priorities (Management Science, 2023), and capacity planning in school choice (Operations Research, 2022). His work combines theoretical analysis with empirical validation using real-world data from Chilean education systems and industry partners. Awards include First Place in Doing Good with Good OR (2018) and BOM Best Working Paper Competition (2023) Published in top journals like Management Science, M&SOM, Operations Research Professional affiliations with INFORMS and Manufacturing & Service Operations Management Society

Matthew Allenمشاهده پروفایل

استاد

• Internet Studies
• Social Media
• Online Education
• +۳ مورد دیگر

Matthew Allen serves as Executive Dean of the School of Arts and Humanities and Professor of Internet Studies at Edith Cowan University (ECU), a position he assumed in 2022 after leading Deakin University's School of Communication and Creative Arts (2013-2019). As Australia's first Professor of Internet Studies at Curtin University (1994-2022), he established the discipline's foundational academic department and co-edited two editions of the authoritative Handbook of Internet Research. His educational background includes a Master of Arts from Murdoch University (1998), Doctor of Philosophy from The Australian National University (1991), and Bachelor of Arts with First Class Honours from The University of Sydney (1987). Allen's research examines the historical evolution and societal impacts of digital technologies, with seminal contributions to understanding Web 2.0's development, online drug communication patterns, and broadband policy frameworks in rural Australia. Recent publications reveal consistent thematic threads: harm reduction narratives in digital drug discourse (2021), pandemic-era connectivity challenges (2020), and critical analyses of internet historiography. His work bridges technical infrastructure studies with sociological perspectives, particularly examining digital exclusion layers and socio-economic implications of broadband access in marginalized communities. Allen's recognition includes the Australian Teaching and Learning Fellowship (2009) and Australian Award for University Teaching (2000). Professional leadership encompasses presidency of the Association of Internet Researchers (Life Member), directorship of the Internet Industry Association, and decade-long chairmanship of the Library Board of Western Australia.

• Moral Philosophy
• Meta-Ethics
• Metaphilosophy
• +۵ مورد دیگر

Benjamin De Mesel is an Assistant Professor at the Center for Political Philosophy and Ethics (RIPPLE) within the Higher Institute for Philosophy at KU Leuven. His research focuses on moral philosophy, meta-ethics, metaphilosophy, and the works of Ludwig Wittgenstein and P.F. Strawson. He coordinates an interdisciplinary Metaforum working group on punishment and the ethics of retribution. His academic contributions include studies on moral responsibility, compatibilism, and the application of Wittgensteinian methods to ethical questions. De Mesel also engages in public philosophy through op-eds in Flemish media, addressing topics like punishment ethics and moral dilemmas. Research Interests: Moral Responsibility and Punishment 20th-Century Analytic Philosophy (Wittgenstein, Strawson) Philosophical Methodology and Metaphilosophy Meta-Ethics and Ethical Theory Key Contributions: Edited volumes on Strawson's legacy and Wittgensteinian ethics. Advocates a Strawsonian approach to moral responsibility and retributive justice. Develops Wittgensteinian critiques of moral objectivity and semantic uniformity in ethics. Affiliations: Member of Ethics @ KU Leuven. Co-organizer of interdisciplinary working groups on punishment ethics.

Shixun Huangمشاهده پروفایل

مدرس

• Data Mining
• Machine Learning
• Algorithm Design
• +۳ مورد دیگر

Dr. Shixun Huang is a Lecturer in the School of Computing and Information Technology at the University of Wollongong, Australia. He holds a PhD from RMIT University and specializes in data mining, machine learning, and optimization algorithms for high-dimensional data problems. His research develops efficient algorithms for data discovery, similarity search, and network analysis. Current projects focus on optimized data acquisition strategies for machine learning, cost-effective labeling for graph neural networks, and cardinality estimation in high-dimensional databases. Methodologically, he combines combinatorial optimization with machine learning techniques. Dr. Huang supervises graduate research on diffusion models for medical imaging, graph prompt learning, and image captioning systems. His honors include multiple best paper awards at top database conferences and recognition for teaching excellence (College Top Course Award at RMIT). Recent publications address dataset distinctiveness maximization (WWW 2025), high-dimensional similarity search (VLDB 2025), and edge computing optimization (2024). Earlier foundational work established new approaches for influence maximization in social networks and temporal graph representation learning.