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Diana Adela MartinView profile

Research Fellow

• Engineering Ethics
• Sustainability in Engineering
• Ethics Education
• +5 more

Diana Adela Martin is a Senior Research Fellow at the Centre for Engineering Education (CEE) within University College London (UCL). She previously served as a postdoctoral researcher at TU Eindhoven between 2021-2023. Her professional roles include Associate Editor for Science and Engineering Ethics and The European Journal of Engineering Education , co-chair of the Ethics Special Interest Group (SIG) at SEFI (European Society for Engineering Education), and Europe board representative in REEN (Research in Engineering Education Network). Diana holds a PhD from TU Dublin (2020) and completed her education in theoretical philosophy and logic at the University of Bucharest (2004-2008) followed by value studies and liberal arts at Bard College Berlin (2009-2011). Her research focuses on integrating engineering ethics, responsibility, sustainability, and societal themes into engineering education and accreditation systems. She develops teaching materials and case studies addressing these areas, emphasizing intercultural ethics and pedagogical innovation. Diana has collaborated with institutions like the European Commission DG Research & Innovation and founded the educational NGO Link Education and Practice in Romania to enhance graduate employability and academia-private sector partnerships. Notable recognitions include the Australasian Journal of Engineering Education’s top citations (2022), an Ethics Education Research Award (2025), and the Glen Earthman Dissertation Award (2022). In advisory capacities, she has engaged policymakers from multiple European nations and organized conferences such as the 51st SEFI Annual Conference (2023). Her work contributes to UN Sustainable Development Goals, particularly through fostering equitable and sustainable engineering practices. Diana’s activities span editorial work, conference organizing, and workshops like the CCESTEM Ethics Workshop (2023), reflecting her commitment to advancing ethical education across borders.

Daisy YooView profile

Assistant Professor

• Human-Computer Interaction
• Political and Social Participation Design
• Sustainable and Inclusive Urban Design
• +3 more

Daisy Yoo is an Assistant Professor at the Industrial Design Research department of Eindhoven University of Technology, specializing in Human-Computer Interaction (HCI) with a focus on political/social engagement, sustainable urban design, and reconciliation technologies. She collaborates with Caroline Hummels in the Transforming Practices squad and nonprofit Enpuls on ecological futures. Educational Background : BSc in Industrial Design (KAIST), Master in Interaction Design (Carnegie Mellon), PhD in Information Science (University of Washington). Her research bridges technology and societal impact through: Designing interfaces for post-genocide reconciliation (e.g., UN-ICTR information systems) Ecological and social justice projects with Enpuls Value-sensitive design frameworks in education (VASE project) Advancing SDGs via inclusive digital tools for Afro-Colombian medicine units Recent publications analyze: Mobile apps for intercultural healthcare systems More-than-human perspectives in HCI Asset-based and pluriversal design methodologies

Peter-Paul C.C. VerbeekView profile

Researcher

• Technology Ethics
• Philosophy of Technology
• Human-Computer Interaction
• +3 more

Peter-Paul C.C. Verbeek is a Researcher in Philosophy at the University of Twente, holding an honorary Professorship in Techno-Anthropology at Aalborg University. He serves on the Supervisory Board of Netherlands Organisation for Applied Scientific Research (TNO). His expertise focuses on technology ethics, philosophy of technology, and design theory. Key projects include the NWO-funded 'Ethics of Socially Disruptive Technologies' (2019–2029) as Co-Principal Investigator. Research interests emphasize the ethical implications of emerging technologies, with notable contributions in healthcare technology, human-computer interaction, and new materialism. He has received prestigious awards including the World Technology Award (2016) and Supervisor of the Year (2018). His work frequently addresses societal impacts of AI, nanotechnology, and digital therapeutics through interdisciplinary frameworks. Verbeek actively engages in public discourse via media contributions like the podcast 'Universiteit van Nederland' and delivers keynote lectures on topics like inclusive ethics for cyborgs and disruptive technologies. He supervises graduate research and participates in global academic networks.

Vali AsimitView profile

Professor

• Actuarial Science
• Risk Modelling
• Insurance Mathematics
• +5 more

Vali Asimit is a Professor of Actuarial Analytics at Bayes Business School, City, University of London. He holds roles including Associate Editor of the Insurance: Mathematics and Economics journal, IFoA Module Leader for CS2 (Risk Modelling and Survival Analysis), and Founding Course Director of the MSc Business Analytics and BSc Business Analytics programs. His research focuses on optimal risk sharing, robust decision-making, and statistical extremes in actuarial science. Education: PhD (2007) and MSc (2003) in Actuarial Science from the University of Western Ontario, Canada. Postdoctoral Fellow at the University of Toronto (2008). Research Interests: His work spans actuarial analytics, risk modeling, and insurance mathematics, with contributions to robust machine learning, optimization techniques, and extreme value theory. Key areas include optimal reinsurance design, risk aggregation, and systemic risk evaluation. Publications: Over 40 peer-reviewed articles in top journals like Insurance: Mathematics and Economics , European Journal of Operational Research , and Risks . Recent work emphasizes machine learning applications in insurance and robust statistical methods. Awards: 2010 Fortis Chair Award for best paper in Insurance Mathematics and Economics, and recognition from K.U.Leuven. Advising & Grants: Supervised PhD students including Junlei Hu (now at the University of Essex) and Runshi Wang. Secured Innovate UK grants for projects like the Fintuity Virtual Adviser. Engaged in academic leadership through program coordination and editorial roles. Professional Contributions: Consulted for government bodies (NHS Resolution, Government Actuary's Department) and industry (Moody’s Climate on Demand Pro system). Active in curriculum development and international academic networks.

Tim DwyerView profile

Professor

• Information Visualization
• Visual Analytics
• Network Visualization
• +7 more

Tim Dwyer is a Professor of Data Visualization and Immersive Analytics at Monash University's Faculty of Information Technology, Department of Human Centred Computing. He holds a PhD from the University of Sydney (2005) and has extensive industry experience, including roles at Microsoft Research and Microsoft Corporation. His research focuses on information visualization, network visualization, and immersive analytics, leveraging emerging technologies like AR/VR to enhance data analysis. He leads the Immersive Analytics Lab and has advised numerous PhD students. Education: PhD in Computer Science, University of Sydney (2005) Bachelor of Computer Science (Honours), University of Melbourne (2001) Bachelor of Science, University of Melbourne (1995) Research Interests: Tim's work spans information visualization, network visualization, and immersive analytics. He explores how technologies like augmented and virtual reality can transform data analysis. Key areas include network layout optimization, novel data representations, and interaction design. His Immersive Analytics Lab pioneers projects such as Immersive Analytics (book) and the IATK toolkit. Article Trends: Recent work emphasizes immersive analytics applications (e.g., forensic autopsy in mixed reality), network visualization techniques (e.g., torus wrapping), and human-computer interaction challenges in AR/VR. His research bridges theoretical foundations (e.g., graph proofs) and practical tools (e.g., visualization toolkits). Awards: IEEE InfoVis 2015 Best Paper Award IEEE InfoVis 2016 Honorable Mention Advising & Grants: Current PhD students include Benjamin Lee and Kun-Ting Chen. He leads projects funded by CSIRO, Australian Research Council, and industry collaborations. Notable grants include 'Australian Research for Global Power System Transformation' and 'Immersive Analytics CRC'. Labs & Teams: Director of the Immersive Analytics Lab, collaborating with global researchers on projects like IATK (Immersive Analytics Toolkit) and Immersive Human-Centred Computational Analytics. Active in IEEE VIS conferences as a chair and organizer.

Jacqui AllenView profile

Associate Professor

• Aged Care
• Chronic illness management
• Community health
• +5 more

Jacqui Allen is an Associate Professor in the School of Nursing and Midwifery at Monash University. She holds a PhD in Nursing from Deakin University (2017) and has over 30 years of experience spanning clinical nursing, education, and research. Her work focuses on improving transitional care for older adults, informal carer support, and culturally competent healthcare. Education: PhD (Deakin), Graduate Certificate in Higher Education (Deakin), dual Bachelor of Arts (Honours) from University of Melbourne and Deakin University. Leadership: Awarded Senior Fellow Higher Education Academy (2023) for education innovation. Research Themes: Transitional care design, shared decision-making, LGBTQIA+ healthcare in nursing education, and reducing low-value healthcare practices. Her research contributes to UN Sustainable Development Goals related to quality education and good health. Current projects include co-designing carer support services and investigating cultural barriers in care transitions. She has led 5 major research projects since 2018, involving collaborations with institutions like Australian Association of Gerontology. Key Awards: HESTA Research Scholarship (2017), AAG Victorian Branch committee member. Grants: $2.3M secured across 5 active/funded projects focusing on aging and carer support. Her lab focuses on implementing co-designed solutions to improve care transitions, with particular attention to vulnerable populations including ethnic minorities and LGBTQIA+ communities.

Patricia OsseweijerView profile

Professor

• Sustainable Biotechnology
• Bioeconomy Sustainability
• Public Policy in Biotechnology
• +3 more

Prof. Patricia Osseweijer is a Full Professor and Section Leader of the Biotechnology and Society group at Delft University of Technology’s Faculty of Applied Sciences. Her research focuses on linking biobased innovations to societal challenges, emphasizing sustainable value chain design, public engagement, and policy-making. She holds a PhD in Science Communication (Free University Amsterdam) and a Master’s in Molecular Biology (Utrecht University). Education: PhD in Science Communication, MSc Molecular Biology Roles: Director of TU Delft/BE-Basic Brazil Office, former Flagship Manager of the €12M socio-economic programme 'Societal embedding of a Sustainable Biobased Society' Research interests include ethical, legal, and social aspects of biotechnology, stakeholder interaction, and capability-sensitive design for inclusive value chains. She leads the Dual Degree PhD program in Brazil targeting 100+ graduates by 2025 and co-initiated TU Delft’s first MOOC on Industrial Biotechnology (EdX). Publications span over 90 articles/reports, with recent work addressing biofuel sustainability, wastewater valorization, and aviation biofuel impacts. Awards include the 2015 Lorentz Fellowship for integrating social sciences with technology. Grants include leadership in the €120M BE-Basic consortium and the extended 'Economy, Sustainability, and Policy' program. She coordinates international courses and joint research projects in Brazil, emphasizing education innovation and global collaboration. Labs/Teams: Biotechnology and Society Research Group, collaborating with UNICAMP and industry partners on bioeconomy strategies and public policy frameworks.

• Computational Social Science
• Complexity Science
• AI Ethics
• +4 more

Prof. Dirk Helbing is a Full Professor at the Department of Humanities, Social and Political Sciences at ETH Zürich. His work focuses on computational social science, complexity science, and the ethical implications of digital transformation. He explores topics such as AI ethics, smart cities, democracy upgrades, traffic systems, and crisis management. His research integrates multi-agent systems, participatory design, and value-sensitive approaches to address societal challenges. Education details: Not explicitly mentioned in provided texts, but as a Full Professor at ETH Zürich, he likely holds a PhD in a related field. His academic career includes leadership roles in interdisciplinary research. Research interests span digital democracy innovations, socio-economic impacts of technology, and resilience engineering. Notable themes include voting system reforms, digital twin applications for governance, and citizen science in AI development. His work emphasizes participatory frameworks and systemic solutions for sustainability and fairness. Recent articles highlight topics like traffic management optimization, multi-currency systems for crisis response, and ethics in smart city design. He advocates for human-centered technologies and democratic upgrades through digital tools. No awards listed in provided texts. Grants and advising activities are not detailed here but likely central to his academic work. Labs/teams: Implied involvement in interdisciplinary teams focused on computational social science, digital governance, and urban systems modeling, though specific lab names are not mentioned.

Mollie ChapmanView profile

Lecturer

• Sustainability Transformations
• Inter- and Transdisciplinary Research
• Food Systems
• +5 more

Mollie Chapman is a Lecturer at the Department of Environmental Systems Science, ETH Zurich, where she leads the Environmental Values and Food System Transformation group in TdLab. She holds a B.A. (2006) in Anthropological Sciences from Stanford University, a M.Sc. (2012) in Sustainable Development from the University of Basel, and a Ph.D. (2017) in Resource Management and Environmental Studies from the University of British Columbia. Her research focuses on sustainability transformations, emphasizing inter- and transdisciplinary collaboration between academic and civil society groups. Key areas include food systems, farmer motivations, ecological restoration, and the role of cultural values in shaping human-nature relationships. Chapman’s work bridges social sciences, natural sciences, and humanities to address systemic sustainability challenges. She explores how plural value concepts—especially relational values—can foster inclusive environmental policies while maintaining place-specific meanings. Recent projects examine the socio-cultural dynamics of community supported agriculture and the potential of social media influencers to drive sustainability behaviors, while also critiquing platform limitations. She advocates for methodologies that prioritize creativity and reflexivity in sustainability science. Her publications in 2025 emphasize innovative approaches to sustainability communication and policy, including leveraging social media’s influence and refining transdisciplinary values frameworks. Earlier work (2023–2021) highlights collaborations on cultural dimensions in land use and participatory models in agriculture. Though no formal awards are listed, her contributions reflect a commitment to advancing transformative sustainability practices through rigorous, context-sensitive research. While Chapman does not list formal advisees, her academic roles and publications indicate active involvement in mentoring transdisciplinary research initiatives. TdLab, her affiliated team, serves as a hub for integrating diverse perspectives to tackle complex environmental challenges.

Berç RustemView profile

Professor

• Operations Research
• Optimization Algorithms
• Robust Optimization
• +7 more

Professor Berç Rustem is a distinguished academic in the Department of Computing at Imperial College London. He holds the position of Professor of Computational Methods in Operations Research and leads research groups including the Computational Optimisation Group (COG), Quantitative Analysis & Decision Science (QUADS), and Analysis, Engineering, Simulation & Optimization of Performance (AESOP). His research focuses on optimality, sensitivity, robustness, and the development of algorithms for optimization under uncertainty, with applications in engineering, economics, finance, and defense. His expertise spans linear/nonlinear/integer programming, game theory, stochastic systems, and risk management. He has edited journals like Computational Management Science and Optimization Methods & Software , and served as President of the Society for Computational Economics (2001-2003). His work emphasizes robust optimization techniques, portfolio strategies, and decision-making frameworks in uncertain environments. Professor Rustem has collaborated extensively with colleagues and advised numerous research students, contributing to advancements in global optimization, bilevel programming, and computational economics. His recent papers address topics like robust portfolio optimization, correlated equilibria, and algorithmic solutions for complex systems.

Peren OzturanView profile

Associate Professor

• International Marketing
• Socially Responsible Marketing
• Marketing Strategy
• +2 more

Peren Ozturan is an Associate Professor of Marketing at Copenhagen Business School specializing in international marketing and corporate social responsibility. Her research examines how marketing organizations adapt to socio-economic shifts and engage in socially responsible practices. Primary research streams include: Brand activism in global contexts Marketing strategy during economic cycles Corporate social responsibility communication Emerging market dynamics Social media leadership Publications demonstrate how socially responsible marketing contributes to brand legitimacy, explores CMO communication strategies on social platforms, and analyzes competitive advertising patterns across economic fluctuations. Recent work addresses quantitative research standards and emerging market applications. No information is available regarding scientific awards, student advising, or research grants.

Hu ZhenyuView profile

Associate Professor

• Revenue management
• Dynamic pricing
• Supply chain management
• +3 more

Zhenyu Hu is an Associate Professor in the Department of Analytics & Operations (DAO) at NUS Business School. He is affiliated with the Institute of Operations Research and Analytics (IORA) and the Institute of Data Science (IDS) at NUS. His research focuses on revenue management, dynamic pricing, supply chain management, dynamic programming, and game theory. He currently serves as an Associate Editor for Manufacturing & Service Operations Management . Education: Ph.D., Industrial Engineering, University of Illinois at Urbana-Champaign (2015) B.Sc., Mathematics, Sun Yat-sen University (2011) His research explores optimization under uncertainty, strategic interactions in operations, and robust decision-making. Key themes include dynamic pricing strategies with customer reference effects, supply chain coordination mechanisms, and game-theoretic frameworks for resource allocation. Recent work addresses challenges in renewable resource management and vehicle-sharing systems under uncertainty. His articles examine topics such as offer optimization under delayed feedback, robust capacity planning, and multi-location inventory pooling. Research emphasizes both theoretical contributions (e.g., duality approaches in screening problems) and practical applications (e.g., vehicle pre-allocation algorithms). Affiliated labs/teams: IORA focuses on operations research applications for Singapore's Smart Nation initiatives. IDS leverages data science for interdisciplinary solutions.

• Design Ethics
• Graphic Design
• Popular Culture Studies
• +3 more

Leslie Becker is a Professor in the Graphic Design Program at California College of the Arts (CCA). Her work focuses on design ethics, exploring how graphic images shape societal values. She holds a BFA from The Cooper Union, an MFA and PhD in Architecture (Theory & Methods) from UC Berkeley. A former CCA design director, she is an AIGA Fellow and has lectured globally at institutions like Harvard, Tsinghua University, and Saint Louis University. Her publications include contributions to PRINT , Graphis New Talent Design Annual , and Routledge's Design and Ethics . Becker advocates for ethical design practices through pro bono work with nonprofits and cross-cultural pedagogy initiatives. Education: BFA in Graphic Design, The Cooper Union MFA in Design, UC Berkeley PhD in Architecture (Theory & Methods), UC Berkeley Research emphasizes design's sociocultural impact, particularly in visual communication and ethical frameworks. She has pioneered discussions on design responsibility through international conferences and academic collaborations. Her 2010 lectures in Beijing and 2012 Melbourne conference presentations underscore her commitment to global design discourse. Current work includes advancing ethical curricula and participatory innovation methodologies. Awards & Recognition: AIGA Fellow (2010s) Teaching and advising focus on integrating ethics into design education. She has mentored students through CCA's Graphic Design program and contributed to professional development initiatives. Her pro bono projects highlight community engagement, aligning with CCA's mission to foster socially conscious art and design.

Lisa K. MeulbroekView profile

Professor

• Executive Compensation
• Risk Management
• Pensions
• +3 more

Lisa K. Meulbroek holds the Fritz B. Burns Professorship at the Robert Day School of Economics and Finance. Her expertise spans financial economics, risk management, pensions, and corporate finance. She earned an A.B. from the University of Chicago and a Ph.D. from MIT. Her research focuses on executive compensation mechanisms, pension plan structures, and integrated risk management frameworks. Notable contributions include analyzing the efficiency of equity-linked compensation and the impact of stock-based incentives on managerial behavior. Her work frequently explores the intersection of corporate governance, incentive alignment, and market dynamics. Over her career, she has published extensively on topics like indexed stock options, underwater equity awards, and the role of short sellers in financial markets. Methodologically, her studies combine empirical financial analysis with strategic corporate finance principles. While no specific grants or advising roles are documented here, her publications demonstrate sustained engagement with critical issues in corporate finance and executive compensation design. Her research often addresses practical challenges faced by senior managers in risk management and organizational decision-making processes.

• Numerical Linear Algebra
• High Performance Computing
• Machine Learning
• +5 more

Ren-Cang Li is a Professor of Mathematics at The University of Texas at Arlington, with affiliations including past roles as Chair Professor at Hong Kong Baptist University and positions at University of Kentucky and Oak Ridge National Laboratory. He earned his BS from Xiamen University (1985), MS from Chinese Academy of Sciences (1988), and PhD in Applied Mathematics from UC Berkeley (1995). His research focuses on numerical linear algebra, eigenvalue problems, high-performance computing, and machine learning, with impactful contributions like secular equation solvers in LAPACK and work on matrix equations. Awards include the NSF CAREER Award (1999) and multiple distinguished paper awards. Education: PhD in Applied Mathematics, UC Berkeley, 1995 MS in Computational Mathematics, Chinese Academy of Sciences, 1988 BS in Computational Mathematics, Xiamen University, 1985 Research interests span numerical algorithms, eigenvalue computations, optimization, and applications in machine learning. Notable contributions include methods for large-scale eigenvalue problems, matrix equations, and compressed sensing. His work on the secular equation solver is foundational in scientific computing libraries. Key Awards: Friedman Memorial Prize in Applied Mathematics (1996) NSF CAREER Award (1999) Three Distinguished Paper Awards from ICCM (2018-2020) INFORMS Data Mining Best General Paper (2019) Advising and Grants: Supervised numerous PhD students and led federally funded projects totaling over $5M, including work on probabilistic graph learning and nonlinear matrix equations. Active in editorial roles for journals like SIAM Journal on Matrix Analysis and Mathematical Communications .