Rajneesh Suri is the Senior Vice Provost for Academic Industry Partnerships and former Vice Dean for Research & Strategic Partnerships at Drexel University's LeBow College of Business. He holds a PhD in Marketing from the University of Illinois Urbana-Champaign, an MBA from the Indian Institute of Management Calcutta, and a Bachelor of Engineering (Mechanical) from Delhi College of Engineering. His research focuses on consumer decision-making, pricing strategies, and the application of neuroimaging (e.g., fNIR, EEG) to study consumer behavior. He has authored numerous articles in top journals like Journal of Consumer Research and Journal of Retailing , and his work has been recognized with awards such as the Literati Award and teaching accolades. Dr. Suri’s research explores how consumers perceive value through price and brand cues, with recent studies addressing upcycled foods, crisis pricing, and the impact of digital marketing. His interdisciplinary collaborations, often involving neurophysiological tools, bridge traditional marketing theory with cutting-edge methodologies. He has advised corporate partners on talent acquisition and innovation through Drexel’s Solutions Institute, emphasizing applied research and industry partnerships. Key achievements include co-authoring a book on pricing strategies, leading teaching fellowships at LeBow’s Center for Teaching Excellence, and serving as a Research Fellow at Cornell’s Center for Hospitality Research. His work has been cited widely, including in media outlets for its relevance to consumer behavior trends.
Pablo Jiménez-Calvo is a Marie Skłodowska-Curie Post-doctoral Fellow and Research Fellow in the Department of Chemistry and Pharmacy, leading the 'Carbon-Inorganic Interface Materials' project since 2023. His research focuses on energy materials for solar fuel production, particularly photoelectrocatalysis, artificial photosynthesis, and carbon nitride-based systems. He has held postdocs at the Max Planck Institute, University of Paris Saclay, and previously earned his Dr.-Ing. from the University of Strasbourg (2019). Research interests include carbon nitride heterojunctions, metal nanoparticle integration, and sustainable hydrogen production. His 2025 work highlights advancements in photocatalytic stability and organic synthesis, while 2023/2024 studies emphasize strategic hydrogen value chains and device engineering for carbon neutrality. Awards include the 2024 Materials Today Catalysis Rising Stars Award and Marie Curie Fellowship (2023). His articles span 15+ peer-reviewed publications since 2020, focusing on photocatalytic efficiency, nanomaterial design, and energy systems innovation. Collaborations include the Bachmann Group and institutions like the Solid-State Physics Laboratory (University of Paris Saclay).
Mikael Wiberg is full Professor of Informatics at Umeå University, Sweden, where he leads research groups in Design Informatics and Digital Interaction & Design. He is co Editor-in-Chief of ACM Interactions and has held chaired and guest professorships at Uppsala, Södertörn and Chalmers universities. His work sits at the intersection of human-computer interaction, materiality, architecture and emerging technologies. Education: PhD in Informatics, Umeå University, 2001 Docent (Associate Professor) in Informatics, Umeå University, 2004 Research interests revolve around interactivity, mobility, materiality and architecture . Wiberg coined the notion of “materiality of interaction” to study how digital resources merge with physical materials, spaces and artefacts. Recent strands include more-than-human design, human-building interaction, autonomous systems UX, and social justice in HCI, all interrogating how interactive technologies shape—and are shaped by—human and non-human actors. Across more than two decades he has published in top venues such as ACM TOCHI, Design Issues, Int. Journal of Design, Human-Computer Interaction journal and the magazine ACM Interactions . His 2018 MIT Press monograph The Materiality of Interaction consolidates his theoretical stance and has become a touchstone for architectural and material HCI discourse. Editorial & scientific awards: Co Editor-in-Chief, ACM Interactions (2019-) Member, Royal Skyttean Society (Kungliga Skytteanska Samfundet) Board member, Professors’ Association, Umeå University He currently leads interdisciplinary projects on digital heritage archives, autonomous vehicle experiences for children with intellectual disabilities, and sustainable interaction infrastructures. Although the provided text does not enumerate specific grants or doctoral students, his continuous project leadership and editorial roles evidence sustained funding and supervisory activity. Wiberg directs the Design Informatics research environment and is a core member of Umeå’s Internet of Things group, fostering collaboration between informatics, architecture, design and social sciences. His overarching agenda asks how interactive technologies can support just, sustainable and aesthetically rich futures at architectural and urban scale.
Dr. Hameed Chughtai is an Associate Professor at Lancaster University Management School, where he conducts critical research on decolonial approaches to information systems and the engagement of marginalized populations with technology. His work spans multiple research centers including the Academy for Gender and Social Justice, the Pentland Centre for Sustainability in Business, and the Centre for Technological Futures. Dr. Chughtai's research focuses on critical and decolonial approaches to technology, with particular interest in how marginalized populations such as Indigenous Peoples interact with information technologies. His methodological approach emphasizes fieldwork and ethnographic methods to examine ethical aspects of technology, body, marginalization, decolonization, and Indigenous scholarship. His work challenges conventional information systems research paradigms by centering local contexts and marginalized perspectives. His recent publications reveal a strong trend toward decolonizing information systems research, with increasing focus on ethical considerations in technology, particularly regarding generative AI applications and the experiences of marginalized communities. His work bridges theoretical frameworks from postcolonial studies, critical theory, and information systems to create more inclusive and contextually relevant research approaches. Associate Editor at the Information Systems Journal Senior Editor at The Electronic Journal of Information Systems in Developing Countries Chair of IFIP Working Group 9.5 Guest Senior Editor for special issues on Decoloniality in IS Research (2022-2024) Guest Senior Editor for special issues on Addressing Refugees and Migration Issues (2024-2026) As a dedicated supervisor, Dr. Chughtai mentors postgraduate research students in critical and interpretive research related to digital technologies, focusing on ethical technology, marginalization, and decolonial approaches to information systems.
Eva Erman is Professor of Political Science at Stockholm University and Deputy Head of the Department of Political Science. She serves as Chief Editor of Ethics & Global Politics and has held visiting scholar positions at institutions including the University of Melbourne, London School of Economics, and George Mason University. Her research bridges political philosophy, global democracy, and the ethical implications of artificial intelligence governance. Her scholarly work emphasizes meta-theoretical and methodological questions in political theory, focusing on feasibility, epistemic norms, and the interplay between moral and political legitimacy. She explores the democratization of global governance structures and the role of civil society actors in transnational decision-making processes. Key article themes since 2025 include algorithmic fairness, moral norms in AI governance, and democratic challenges in transnational AI frameworks 2024 contributions analyze legitimacy, behaviorism in political realism, and function-sensitive approaches to global governance 2023 research expands on empirical and normative AI governance, political normativity definitions, and behavioral theory critiques Erman's academic leadership extends to organizing international workshops and refereeing for top journals like Journal of Philosophy , American Political Science Review , and Political Studies . Her projects address critical intersections of technology, democracy, and justice in the 21st century.
Daniel Hershcovich is a Tenure-Track Assistant Professor at the Natural Language Processing section of the Department of Computer Science, University of Copenhagen. His research focuses on cross-cultural adaptation of language models, integrating human values into AI systems, and evaluating AI's real-world impact in domains like law, literature, and food culture. Research Themes Cultural value alignment in LLMs Multimodal models for accessibility Cross-cultural recipe and food knowledge Historical Scandinavian text analysis Ethical AI and bias mitigation Scientific Recognition SAC Highlight Award (ACL 2025) Outstanding Paper Award (ACL 2017) Advising & Grants : Mentions collaborations on multiple EMNLP/ACL/CoNLL papers. Leads Independent Research Fund Denmark project ALIKE (2025-2027) and contributes to Innovation Fund Denmark's XHAILe (2025-2028). Co-organized SemEval 2019 and CoNLL 2019/2020 shared tasks. Labs & Teams : Leads the CoAStaL research group. Collaborates with teams at IBM Research Haifa, University of Manchester, and Wuhan University of Science and Technology.
Bryan S. Kim is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. His research focuses on computer systems, particularly data storage systems, emphasizing performance, reliability, and scalability in the context of heterogeneous hardware. He holds a Ph.D. and M.S. in Computer Science and Engineering from Seoul National University and a B.S. in Electrical Engineering and Computer Science from UC Berkeley. Prior to academia, he worked as a postdoctoral researcher at Seoul National University and as a manager at SK Telecom. Key research interests include SSD reliability, storage system design, and overcoming hardware limitations through innovative architectures. Notable recent work includes projects on capacity-variant storage systems, CXL-enabled SSDs, and RAID adaptations for heterogeneous SSDs. He has been awarded two NSF grants: the DESC proposal (CHIPLETS360) in 2025 and a CAREER award for bridging memory/storage gaps in 2025. Education: Ph.D. in Computer Science and Engineering, Seoul National University M.S. in Computer Science and Engineering, Seoul National University B.S. in Electrical Engineering and Computer Science, UC Berkeley Recent Awards: NSF DESC Proposal Award (2025) NSF CAREER Proposal Award (2025) Teaching: CSE486: Design of Operating Systems CIS341: Computer Organization & Programming Systems CIS700: Storage Systems for Big Data His students include Shao-Peng Yang, Xiangqun Zhang, and Omkar Desai. He advises on projects related to storage systems, and his work has been published in top-tier conferences like FAST, ATC, EuroSys, and OSDI.
Trine Anker is a Professor of Religious Studies with Subject Didactics at MF University of Applied Sciences' Faculty of Religious Studies and Society. She holds a PhD from the Norwegian School of Theology (2011), specializing in youth perspectives on respect in multicultural schools. Her academic career includes roles as Associate Professor at Østfold University College and MF University, with extensive experience in teacher education and professional development. Research interests focus on religious didactics, aesthetic teaching methods, ethics in education, and controversial topics like terrorism and memory culture. Notable contributions include analyzing the sacralization of July 22nd events in schools and exploring folk religions in Argentine football culture. She received the 2024 Distinguished Lecturer award for pedagogical innovation. Teaching responsibilities include courses on research methodology (MET-EMP910), pedagogy (PPU1010/1015), and didactic practices. She leads projects like EtiPP (Ethics in Professional Practice) and ReDi (Religion and Dialogue in Modern Societies), investigating ethical frameworks for educators and interfaith dialogue strategies. Publications span 30+ articles in journals like Journal of Moral Education and Prismet , addressing topics from classroom ethics to youth religious expression. Her 2020 textbook Analyse i praksis guides master's students in practical research methods.
Timothy Menzies is a full Professor in the Department of Computer Science at North Carolina State University's College of Engineering. He serves as the director of the Irrational Research lab (mad scientists r'us) and holds editorial positions as editor-in-chief of the Automated Software Engineering journal and associate editor for IEEE Transactions on Software Engineering. With over 300 publications and more than 24,000 citations, Menzies is a globally recognized leader in software engineering research. Menzies' research focuses on developing computer systems that make optimal decisions with minimal data, specializing in artificial intelligence, intelligent agents, data sciences, analytics, and software engineering. His pioneering work in data-driven, explainable, and minimal AI for software systems has redefined defect prediction, effort estimation, and multi-objective optimization. He is particularly known for his contributions to empirical software engineering, emphasizing transparency and reproducibility. As the co-creator of the PROMISE repository, he helped establish modern empirical software engineering by demonstrating that small, interpretable AI models can outperform larger, more complex ones. Menzies' recent publications reveal several key trends in his research: a growing emphasis on ethical considerations in AI deployment, particularly in sensitive domains like legal systems; continued innovation in software analytics with a focus on hyperparameter optimization tailored specifically for software engineering tasks; exploration of causal relationships in software analytics; and development of techniques that work effectively with limited data, including landscape analysis, surrogate learning, and active learning approaches. Mining Software Repositories Foundational Contribution Award (2017) Carol Miller Graduate Lecturer Award (2016) IBM Faculty Award (2016, 2017) ACM Fellow (2025) ASE Fellow (2024) IEEE Fellow Professor Menzies has advised 24 Ph.D. students throughout his career, with recent completions including Andre Motta (April 2025) and Xueqi Yang (October 2024). His research has secured over $19 million in funding from prestigious agencies including NSF, DARPA, and NASA, as well as industry partners like Meta, Microsoft, and IBM. Current grants focus on improving machine learning model efficiency, adapting empirical software engineering methods to computational science, vulnerability detection, and software analytics at scale using transfer learning across 10,000+ GitHub projects. Menzies has developed innovative approaches to help developers navigate the challenges of AI implementation while maintaining ethical standards and practical effectiveness. As director of the Irrational Research lab, Menzies leads a team focused on creating AI tools that are not only intelligent but also fair, transparent, and trustworthy. The lab's work emphasizes practical applications of AI in software engineering while addressing the human factors involved in developer-AI collaboration. Current projects include developing methods for better fuzzing with L3harris, improving vulnerability detection through smart pruning techniques, and creating AI platforms for workforce empowerment through credential gap diagnostics.
Behnam Taebi is Full Professor of Energy & Climate Ethics and Scientific Director of the Safety & Security Institute at Delft University of Technology. He leads TU Delft | The Hague, a university-wide initiative connecting engineering knowledge with public policy. His work bridges technology, ethics, and policy through roles at Harvard University’s Belfer Center (2014–2020) and The Young Academy of the Royal Netherlands Academy of Arts and Sciences (2016–2021). As co-Editor-in-Chief of Science and Engineering Ethics , he contributes to shaping ethical discourse in engineering. BSc in Material Science and Engineering (2006) PhD in Philosophy of Technology (2010) Taebi's research focuses on the ethical dimensions of energy systems, nuclear technology, and climate engineering. He explores intergenerational justice, distributive equity, and responsible innovation frameworks. His work integrates value-sensitive design and moral emotions to address uncertainties in technological risk governance, particularly for nuclear energy and carbon capture. Recent publications highlight ethics in nuclear waste repositories, climate policy metaphors, and synthesizing justice frameworks. His VENI-grant from NWO supports innovative research on technological risks. Collaborations span the OECD Expert Panel on transdisciplinary research and co-editorship of influential volumes like The Ethics of Nuclear Energy (Cambridge, 2015) and Ethics and Engineering: An Introduction (Cambridge, 2021). As Scientific Director of the Safety & Security Institute , he leads interdisciplinary efforts to address societal challenges through engineering ethics. His initiatives emphasize inclusive energy transitions, equitable climate strategies, and bridging technical and social sciences in policy-making.
Nathan Young is an Assistant Professor in the Department of Sustainable Resources Management at SUNY College of Environmental Science and Forestry (ESF). His research focuses on physical hydrology and environmental science, with a particular emphasis on understanding how heat, water, and solutes move through the environment in response to climate change and landscape alterations such as permafrost thaw, sea-level rise, and environmental hazards like wildfires and landslides. He integrates fieldwork, numerical modeling, and quantitative analysis to improve predictive models for sustainable water management. Education includes a Ph.D. in Geology and Environmental Science (2019, Iowa State University), an M.S. in Earth and Environmental Science (2014, Wright State University), and a B.A. in Geology and Sociology/Anthropology (2012, Earlham College). Research interests span hydrogeology, climate change impacts, permafrost dynamics, and groundwater flow modeling. His work often involves advanced tools like MATLAB, R, Python, and numerical models such as MODFLOW and HydroGeoSphere. He emphasizes fieldwork in student mentorship, valuing hands-on experience and quantitative skills. Teaching includes courses like Watershed Hydrology (FOR 340) and Watershed Ecology and Management (FOR 442). Current advisee Ford Ford is pursuing an MS in Environmental Science. Awarded funded graduate assistantships and undergraduate research positions are available to qualified candidates with academic excellence, research experience, and enthusiasm for hydrological studies. His lab focuses on cryohydrogeological systems, particularly in Arctic regions like Nunavik, Québec, and investigates the interplay between thermal regimes, permafrost degradation, and subsurface hydrology.
Prof. Dan Olteanu is a full professor at the Department of Informatics, University of Zurich, leading the Data Systems and Theory (DaST) group. He holds visiting professorships at the University of Oxford and is an emeritus fellow of St Cross College. His academic journey includes a PhD from Ludwig Maximilian University (2005), postdoctoral roles at Saarland University and Cornell University, and prior faculty positions at Oxford (2007–2020). He has also worked in industry with companies like LogicBlox and RelationalAI, focusing on database systems and AI. Education: Bachelor’s in Computer Science, Politehnica University of Bucharest (2000) PhD in Computer Science, Ludwig Maximilian University (2005) Professional Roles: Full Professor, University of Zurich (since 2020) Visiting Professor, University of Oxford Emeritus Fellow, St Cross College Editorial Roles: ACM TODS, VLDBJ, SIGMOD Conference Chair: ICDT Council (since 2022) His research focuses on data systems theory, including query optimization, probabilistic databases, factorized databases, and in-database machine learning. He co-authored the seminal book Probabilistic Databases (2011) and has pioneered algorithms for efficient machine learning over relational data and incremental maintenance of analytical workloads. His work emphasizes scalable, theoretically grounded solutions for real-world data challenges. Awards: ICDT 2019 Best Paper Award ACM SIGMOD 2018 Distinguished PC Member Award ERC Consolidator Grant (2016) Oxford Outstanding Teaching Award (2009) Grants & Funding: Supported by Google, Microsoft Azure, Amazon AWS, EPSRC, and the European Commission. His research bridges academia and industry, with contributions to commercial systems like LogicBlox and RelationalAI. Labs & Teams: Heads the DaST group at Zurich, focusing on data systems theory and applications. Collaborates widely in the database and AI communities.
Josep Llach is a Senior Lecturer at the Barcelona School of Management, Universitat Pompeu Fabra, and a part-time Professor Agregat in the Department of Business Administration, Management and Product Design at the University of Girona. He is an active researcher in innovation management, organizational innovation, sustainability, and operations, with extensive involvement in European and national research projects. University: University of Girona Department: Department of Business Administration, Management and Product Design Secondary Affiliation: Barcelona School of Management, Universitat Pompeu Fabra Academic Rank: Senior Lecturer Part-Time: Yes His research focuses on the intersection of innovation, quality, and sustainability in manufacturing and service firms. He studies how lean practices, digital transformation, circular economy strategies, and green technologies impact firm performance. His work often employs advanced statistical methods such as structural equation modelling and fuzzy-set qualitative comparative analysis. The recent publications highlight a strong trend toward sustainability, digital transformation, and methodological robustness in empirical models. His work spans industries including manufacturing, hospitality, and education, with a methodological emphasis on survey-based research and configurational analysis. Scientific Awards: Emerald Literati Awards – Most Outstanding Paper in 2018 for 'Creating value through the balanced scorecard: how does it work?' Top Downloaded Paper 2018–2019: 'Socially responsible companies: Are they the best workplace for millennials?' Josep Llach has directed five doctoral theses and actively mentors PhD students. He collaborates with the Catalan University Quality Assurance Agency (AQU) as a methodological secretary in accreditation processes. His research is supported by multiple national and European grants, particularly through participation in the European Manufacturing Survey. He is a member of the Grup de Recerca Avançada sobre Dinàmica Empresarial i Impacte de les Noves Tecnologies a les Organitzacions (GRADIENT), a research group focused on organizational dynamics and the impact of new technologies.
Jennifer M Morton is the Presidential Penn Compact Professor of Philosophy at the University of Pennsylvania with a secondary appointment at the Graduate School of Education. As Graduate Chair of the Philosophy Department, she bridges philosophical theory with empirical research on poverty, social class, and upward mobility. Her work interrogates the ethical sacrifices of first-generation and low-income students, earning her the Grawemeyer Award in Education (2023) and the Frederic W. Ness Book Award for Moving Up Without Losing Your Way (2019). A Guggenheim Fellow (2023-2024), she integrates social psychology, policy analysis, and ethics to address structural inequities in education. Key Themes: Pessimism traps, cultural mismatch, and non-cognitive skill development. Awards: Grawemeyer Award, Scheffler Prize, Philosopher’s Annual Best Paper (2019). Media: Featured in The New York Times , The Atlantic , and Hidden Brain podcast. Her recent articles analyze poverty’s impact on prospective agency, planning capacity, and decision-making under uncertainty. She critiques online education’s limitations for marginalized students and explores the educator’s dual role in ideal vs. non-ideal contexts. As a senior fellow at Wisconsin’s Center for Ethics and Education, she advocates for inclusive institutional design, balancing pragmatic success with systemic critique.
Steven P. Dow is a Professor at the University of California San Diego leading the ProtoLab, which investigates collective intelligence, creativity, and decision-making through social computing and human-centered design. His work develops systems leveraging LLMs, crowdsourcing, and visualization to scaffold problem-solving for individuals and communities. His research spans Social Computing , Human-Computer Interaction , and Participatory Design , focusing on cognitive/social aspects of collaborative processes. Key areas include AI-augmented creativity tools, value-centered civic engagement frameworks, and metadata-driven collective ideation systems that bridge technical and cultural dimensions of design. 2025 publications reveal a strong trend toward LLM-crowd integration for creative workflows, with work appearing at UIST and Collective Intelligence conferences. Research emphasizes inclusive idea convergence in civic contexts and dynamic exploration in design processes using forward-backward propagation techniques. Prof. Dow actively mentors students, with advisees like Sangho Suh and Nancy Qiu leading publications on AI storyboarding and self-reflective crowds. His ProtoLab drives projects including community-driven design environments and context-aware exploratory search systems. The ProtoLab serves as an interdisciplinary hub developing socio-technical systems for community co-design, leveraging ubiquitous devices and mixed-initiative interfaces to transform how teams solve complex problems through emergent scaffolding and value-centered frameworks.
