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Karoline NoackView profile

Professor

• Ancient American Studies
• Ethnology
• Andean Studies
• +12 more

Karoline Noack is a full Professor of Ancient American Studies and Ethnology at the Institute of Archaeology and Cultural Anthropology , University of Bonn, where she also directs the BASA Museum (Bonn Collection of the Americas). She has held this position since 2009 and is a leading scholar in Andean studies, museum ethnology, and colonial Latin American history. Her research interests are deeply interdisciplinary, focusing on: The Inca state and early colonial Andes, particularly in Peru, Bolivia, and Mexico Transculturation and gender in colonial contexts The history of ethnological knowledge, especially in the GDR Museum studies, collection ethics, and the decolonization of ethnographic museums Material culture and provenance research Her recent scholarly output centers on dependency and mobilization in the Inca Empire, the global history of resources (like cotton and coca), and the role of museums in knowledge production. She has led major projects such as 'Balancing the Center and the Local' in Cochabamba and the KOSMOS collaborative project on object-based knowledge. Her publications span museum ethics, colonial legal history, and transcultural exchange. Karoline Noack has received significant recognition, including: Membership in the German Archaeological Institute Fellowships from the Volkswagen and Gerda Henkel Foundations Membership in the DFG Review Board Leadership roles as Spokesperson for the Transdisciplinary Research Area 'Present Pasts' and Chair of BASS e.V. She advises and mentors students in ethnology and archaeology, and her work involves extensive collaboration with international scholars and institutions. Her research is supported by major German funding bodies and is published in leading academic venues. She is also deeply involved in public engagement through museum curation and exhibitions.

Yuuko Uchikoshi TonkovichView profile

Professor

• Early Childhood
• Multilingual Learners
• Bilingualism and Bilingual Education
• +12 more

Yuuko Uchikoshi Tonkovich is a Professor at the School of Education, University of California, Davis, where she has served since 2004, advancing from Assistant to Associate and then to full Professor. Her work centers on language and literacy development in young dual language learners, with a focus on bilingualism, early literacy, and the role of family and media in language acquisition. Her research interests include: Early Childhood Development Multilingual Learners and Bilingual Education Language Acquisition and Literacy Parent-Child Interaction and Home Language Environment Quantitative Analysis of Educational Outcomes Educational Television and Multimedia Her recent publications span topics such as cognitive distancing in parent-child reading, morphological awareness in bilingual readers, and the impact of teacher language use in multilingual classrooms. The research consistently emphasizes longitudinal, cross-cultural, and interdisciplinary approaches, particularly focusing on Chinese American and Mexican American immigrant families. Her scientific awards include: AERA Vocabulary SIG Notable Vocabulary Researcher Award (2025) Foundation for Child Development Young Scholars Program Grant International Reading Association Dissertation Fellowship and Finalist Award Harvard Graduate School of Education Fellowships She has advised numerous research projects and secured significant funding from NIH/NICHD, the Foundation for Child Development, and other organizations. She teaches courses such as Language Development, Early Literacy, and Research on Text Comprehension. She is actively involved in national initiatives, serving on the Technical Advisory Group for the First 5 California Dual Language Learner Study and as Associate Editor of Applied Psycholinguistics . She leads the Language & Literacy Development Lab at UC Davis, which investigates the cognitive, linguistic, and socio-emotional development of dual language learners.

Ashley BraganzaView profile

Professor

• Artificial Intelligence
• Change Management
• Strategy Implementation
• +4 more

Professor Ashley Braganza serves as Dean of Brunel Business School at Brunel University London and holds the Chair in Business Transformation. He founded and co-directs Brunel's interdisciplinary Research Centre for Artificial Intelligence (established 2018), which includes a dedicated AI Lab and forms part of Brunel's broader AI Ecosystem. His leadership secured £3.5 million in grants during the 2022/23 academic year and a recent €5.8 million ELOQUENCE EU project (2024-2027). His academic qualifications include a PhD in Organisational Change and Information Systems from Cranfield University and an MBA in Strategic Management Responsibility from the University of Strathclyde. Professor Braganza's research centers on artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation-enabled information systems . His practice-based approach stems from over 40 major consultancy projects with global organizations including BT, Microsoft, McDonald's, Astra Zeneca, and UN agencies. He champions interdisciplinary experiential learning and rigorous academic research with real-world applications. Analysis of his 15 most recent publications reveals dominant trends in applying AI and digital technologies to healthcare supply chains, blockchain governance, and socioeconomic challenges like digital poverty. His work consistently bridges operations management, information systems, and social sciences while examining human-organizational impacts of technological transformation. His distinguished recognition includes: Election to the British Academy of Management College of Fellows for 25+ years of scholarly contribution and community service Professor Braganza has directed significant research initiatives including the British Academy-funded digital poverty study in Margate, UK-India collaborative projects on AI in healthcare productivity, and curriculum development for special needs trainers. His consultancy assignments with major corporations have co-created practical frameworks for implementing complex organizational change programs. He founded and chairs the British Academy of Management Special Interest Group in Transformation, Change and Development, and directs Brunel's AI: Social and Digital Innovation Research Centre, fostering cross-disciplinary collaboration through the Operations and Information Systems Management Research Group (OISM).

• Machine Learning
• Probabilistic Inference
• Decision Making
• +1 more

Professor Carl Edward Rasmussen is affiliated with the University of Cambridge , where he focuses on Machine Learning , Probabilistic Inference , Decision Making , and Reasoning Under Uncertainty . His work bridges theoretical advancements with practical applications in robotics, control systems, and computational biology. Academic Affiliation: University of Cambridge Academic Role: Professor His research emphasizes scalable Gaussian process methods, Bayesian system identification, and reinforcement learning. Recent projects include transfer learning for antibacterial discovery , graph neural processes for molecular functions , and efficient variational inference techniques . Key themes in his publications highlight uncertainty quantification , model generalization , and nonparametric approaches . Notable Scientific Contributions Advancements in sparse Gaussian process hyperparameter estimation Framework for Bayesian system identification in dynamic systems Hybrid models combining transformers and Gaussian processes

• Strategic Marketing
• Marketing Management
• Value Propositions
• +7 more

Mika Yrjölä serves as a University Lecturer in Marketing at Tampere University's Faculty of Management and Business. He is an active member of the Customer-Oriented Research Group with extensive research experience in strategic marketing, value propositions, and business models. His academic work spans over a decade with 53 research outputs from 2013 to 2025. Yrjölä's research primarily focuses on strategic marketing, including value propositions, business models, capabilities, and customer orientation. He employs both quantitative and qualitative methods in his investigations, with particular interest in digital transformation, artificial intelligence in retail, and business-to-business platforms. His work contributes to understanding how organizations can create value in evolving market contexts, especially through digital channels and platform-based business models. His publication record shows consistent scholarly output with recent emphasis on AI-enhanced platforms, value creation in ecosystems, and retail transformation. The research demonstrates a clear trajectory toward understanding digital transformation in marketing contexts, with increasing focus on AI applications in services and retail environments. His work spans both theoretical contributions and practical applications for businesses navigating digital disruption. Marvin Jolson Award (2022) - for research in sales management Yrjölä has supervised master's students and doctoral candidates while actively participating in academic service as a journal reviewer and conference committee member. His activities include 41 scientific journal reviews, 19 media appearances, and 11 master's student supervisions. He has also served as an external reviewer for The French National Research Agency (ANR). As a member of the Customer-Oriented Research Group, Yrjölä collaborates with colleagues on projects examining consumer behavior, retail transformation, and digital marketing strategies. His research increasingly focuses on the intersection of AI and service delivery, particularly in platform-based business models and retail contexts.

Sarah A. SouleView profile

Professor

• Organizational Theory
• Social Movements
• Political Sociology
• +3 more

Sarah A. Soule is the Philip H. Knight Professor and Dean of Stanford Graduate School of Business and Morgridge Professor of Organizational Behavior. She has been a faculty member at Stanford since 2008 and previously taught at the University of Arizona and Cornell University. As of June 2025, she serves as the first woman dean of Stanford GSB, marking the school's centennial year. Her educational background includes a PhD and MA in Sociology from Cornell University (1995, 1991) and a BA in Sociology from the University of Vermont (1989). She has held significant leadership roles including Senior Associate Dean for Academic Affairs (2016-2023) and Director of the Center for Advanced Study in the Behavioral Sciences (2023-2025). Soule's research focuses on organizational theory, social movements, and political sociology, examining how social movements impact organizational and policy change. Her work bridges sociology and business, analyzing how protest influences corporate decisions and how organizations respond to social movement pressures. She has made significant contributions to understanding tactical innovation in social movements and the diffusion of protest strategies. Her scholarly output shows a consistent trajectory examining the intersection of social movements with business and policy. Early work focused on protest policing and movement tactics, while more recent research explores corporate activism, DEI initiatives, and the role of design thinking in organizational contexts. Her publications span top sociology and management journals, demonstrating interdisciplinary impact. Hank McKinnell-Pfizer Inc. Faculty Fellow, Stanford GSB, 2014 James and Doris McNamara Faculty Fellow, Stanford GSB, 2011 GSB Trust Faculty Fellow, Stanford GSB, 2010 Member, Sociological Research Association, 2009 Fellow, Michelle R. Clayman Institute for Gender Research, 2009 Magellan Circle Award for Excellence in Graduate Teaching, University of Arizona, 2006 Soule has served on multiple editorial boards including Sociological Science (founding team), Stanford University Press, and Cambridge University Press. She has advised numerous PhD students and has been actively involved in curriculum development, particularly in diversity, equity, and inclusion education. Her leadership extends to nonprofit boards including the Hasso Plattner Institute of Design (Stanford d.school) and the international advisory board to the president of the Stockholm School of Economics. She co-directs the Stanford LEAD Online Business Program and has developed executive education programs focused on coaching skills and diversity leadership.

Achim MengesView profile

Research Professor

• Computational Design
• Robotic Construction
• Biomimetic Architecture
• +5 more

Achim Menges is a Research Professor and Max Planck Fellow at the University of Stuttgart, where he directs the Institute for Computational Design and Construction (ICD). His work bridges architecture, engineering, and computational design, with a focus on developing innovative construction methods and materials. Menges leads the Cluster of Excellence IntCDC: Integrative Computational Design and Construction for Architecture, a major research initiative funded by the German Research Foundation. Menges' research centers on computational design, robotic construction, and biomimetic architecture, with particular emphasis on timber construction, adaptive building systems, and digital fabrication. His work integrates principles from bionics to create responsive, sustainable building systems that adapt to environmental conditions. Notable projects include the BUGA Wood Pavilion (2019), Urbach Tower, BUGA Fibre Pavilion, and the livMatS Biomimetic Shell, all demonstrating his commitment to material innovation and sustainable construction practices. His recent publications reveal a consistent focus on advancing timber construction techniques, developing bio-inspired responsive systems, and implementing robotic fabrication processes. The research shows a clear trajectory toward more sustainable, resource-efficient building methods that integrate digital design with physical construction processes. Menges' work increasingly addresses multi-story timber systems and circular construction principles. Bauwende Prize der Universität Stuttgart 2025 Menges leads numerous research initiatives through the Cluster of Excellence IntCDC, securing significant funding for projects exploring computational design and robotic construction. His work involves extensive collaboration with industry partners and interdisciplinary research teams. Menges directs the ICD research laboratory, which focuses on developing novel computational design methods, robotic fabrication processes, and innovative material systems for architecture. The institute maintains strong partnerships with industry leaders in construction technology and materials science, facilitating the translation of research into practical applications.

Emilio FerraraView profile

Professor

• Artificial Intelligence
• Computational Social Science
• Network Analysis
• +5 more

Dr. Emilio Ferrara is a Professor of Computer Science & Communication at the University of Southern California, holding appointments in the Viterbi School of Engineering, Annenberg School for Communication and Journalism, and Keck School of Medicine. He serves as Associate Director of Applied Data Science at USC, Research Team Leader at the USC Information Sciences Institute, and Principal Investigator at the USC/ISI Machine Intelligence and Data Science (MINDS) group. His educational background includes a PhD in Machine Learning and BSc & MSc in Computer Science. Ferrara's research focuses on the intersection of artificial intelligence and computational social science, specifically using AI to model and predict human behavior in techno-social systems. His work spans social networks, machine learning, and network science with applications to understanding communication dynamics in digital environments. Ferrara has published over 150 articles in prestigious venues including Proceedings of the National Academy of Sciences, Communications of the ACM, and Physical Review Letters. His research has been widely featured in major news outlets and examines topics ranging from social media manipulation to AI ethics and online behavior. His scientific achievements have been recognized with numerous awards: 2019 Viterbi Scientific Award 2018 DARPA Director's Fellowship 2016 DARPA Young Faculty Award 2016 Complex Systems Society Junior Scientific Award 2015 IBM Watson Big Data Influencer Ferrara's research is supported by major funding agencies including DARPA, IARPA, Air Force, and Office of Naval Research. He leads the HUMANS LAB (Humans & Machines + Networks & Social Systems) which has trained numerous PhD students who have gone on to successful careers in academia and industry. His work on social bots, election integrity, and AI ethics continues to shape understanding of digital social dynamics.

Richard S. SuttonView profile

Professor

• Machine Learning
• Artificial Intelligence
• Computational Intelligence
• +5 more

Richard S. Sutton is a Professor in the Department of Computing Science at the University of Alberta , a Research Scientist at Keen Technologies, and the Principal Investigator at the Reinforcement Learning and Artificial Intelligence Lab . He also serves as the Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute (Amii) and as Chief Scientific Advisor there. Additionally, he founded the Openmind Research Institute and is Chief Scientific Officer at ExperienceFlow. His research focuses on identifying general computational principles underlying intelligence and goal-directed behavior. He emphasizes the interaction between intelligent agents and their environment , exploring how goals, choices, and information sources emerge from this interaction. His work spans reinforcement learning (RL) , agent-environment dynamics, and ethical considerations in AI, such as robot rights and moral philosophy. His articles include technical works on RL, ethical frameworks, and philosophical essays like The Bitter Lesson (2019) and The Definition of Intelligence (2016). Canada CIFAR AI Chair Co-author of foundational RL textbook Developed Tile Coding Software for RL

Christopher S. TangView profile

Professor

• Supply Chain Management
• Outsourcing
• Pricing Strategy
• +5 more

Christopher S. Tang is a UCLA Distinguished Professor and Edward W. Carter Chair in Business Administration at the Anderson School of Management , where he researches global supply chain management with a focus on social innovation in developing countries . He also serves as Senior Associate Dean for Global Initiatives and Faculty Director of the Center for Global Management . Education: Ph.D. in Management Science (1985, Yale University) M.Phil. in Administrative Science (1983, Yale University) M.A. in Statistics (1983, Yale University) B.Sc. in Mathematics (First Class Honors, 1981, King’s College, University of London) His research explores the intersection of corporate responsibility and supply chain innovation , addressing topics like microfinancing , mobile platforms for developing economies , direct agricultural procurement , and disaster response logistics . He emphasizes visibility, integrity, and agility in uncertain environments. Recent work highlights AI adoption benefits for supply chains , strategies to reduce forced labor risks , and policy impacts on ride-sharing platforms . His research bridges operations management and social justice , advocating for environmental stewardship alongside business growth. Scientific Awards: Salzberg Medallion (2017) Lifetime Fellow, INFORMS (2011) Responsible Research in Management Award (2017) Teaching Excellence Award (multiple years, UCLA-NUS) Dean’s Excellent Service Award (2014) As an influential adviser and consultant , Tang has worked with Amazon, HP, IBM, Nestlé, GKN , and Accenture . He has taught at Stanford University, UC Berkeley, Hong Kong University of Science and Technology , and served as visiting professor at Cambridge University and the Institute of Advanced Study at HKUST .

• Marketing Strategy
• Advertising
• Digital Communications
• +4 more

Kevin McTigue is a Clinical Professor of Marketing at Northwestern University's Kellogg School of Management since 2023, teaching MBA and Executive Education programs. His expertise spans marketing strategy, advertising strategy, and digital marketing. Education: MBA (2005) from Kellogg School of Management, B.S. (1996) from Miami University His research focuses on marketing strategy in hyper-connected environments, digital transformation , and consumer insights . Recent publications address advertising innovation in subscription services, metaverse marketing, and data-driven strategies in entertainment platforms. He has received multiple teaching accolades including: Sidney J. Levy Teaching Award Chair's Core Course Teaching Award (multiple years) J. Keith Murnighan Outstanding Professor Award Faculty Impact Award McTigue directs Kellogg’s Chief Digital Officer program and co-directs the Advertising and Marketing Communication Strategy program. His prior roles include leading strategy consulting at SapientRazorfish and brand management at Tyson/Hillshire Brands/Sara Lee.

• Labor market policy
• Attitude research
• Policy analysis
• +4 more

Professor Paul Marx is a faculty member at the University of Bonn, affiliated with the Faculty of Philosophy and the Institute of Political Science and Sociology. His research focuses on critical areas of political sociology and policy analysis, with particular emphasis on labor market dynamics and political participation. His research interests center on labor market policy , attitude research , policy analysis , politics and emotions , political socialization , tax and redistribution policy , and inequalities in political participation and representation . Professor Marx examines how economic conditions, particularly labor market experiences, shape political attitudes, behaviors, and representation. His work often employs mixed-methods approaches, combining quantitative analysis with qualitative insights from focus groups and elite interviews. Analysis of Professor Marx's recent publications reveals a consistent focus on the intersection of economic conditions and political behavior. His research demonstrates how labor market insecurity, income inequality, and welfare state policies influence political participation, voting behavior, and attitudes toward redistribution. A notable trend is his examination of political inequality, particularly how economic hardship in childhood affects later political engagement. His work also addresses contemporary political debates in Germany and Europe, including identity politics, gender-neutral language, and taxation policies. Professor Marx maintains an active research agenda with numerous publications in 2023-2025. His work appears to focus on German politics and comparative European welfare states, with some research extending to development contexts such as Bangladesh. His methodology frequently combines survey data with experimental and qualitative approaches to provide comprehensive insights into political behavior.

• Behavioral Ecology
• Evolutionary Biology
• Population Ecology
• +11 more

Prof. Dr. Oliver Krüger is a behavioral ecologist and evolutionary biologist at Bielefeld University 's Faculty of Biology , where he leads the Department of Animal Behaviour since 2013. His research spans avian and marine mammal systems, focusing on life history strategies, parasite-host interactions, and environmental adaptation. Education: Biology studies at Bielefeld University (1994-1996) MSc in Oxford (1996-1997) PhD at Bielefeld University with Fritz Trillmich and Jan Lindström (1998-2000) Research Themes: Behavioral ecology, evolutionary biology, and population dynamics across tropical and temperate ecosystems. Key projects include NC³ (Niche Choice/Construction) and studies on Galápagos sea lions, common buzzards, and pinniped species. Scientific Leadership: Spokesperson, SFB TRR 212 "NC³" (2018-2025) Advisory Board member: German Ornithologists Union, IUCN SSC pinniped group, German Primate Centre Peer review roles: Humboldt Foundation, DFG, HFSP, NSF Awards: Leopoldina Prize (2001) Niko Tinbergen Award (2008) DFG Heisenberg Professorship (2010-2015)

Anil MadhavapeddyView profile

Professor

• Environmental Computing
• Climate Change Informatics
• Distributed Systems
• +5 more

Anil Madhavapeddy serves as Professor of Planetary Computing at the University of Cambridge's Department of Computer Science and Technology and directs the Cambridge Centre for Carbon Credits (4C). A Fellow of Pembroke College, he integrates systems research with environmental conservation through the Computer Laboratory's Environment and Energy Group. His career spans industry leadership (NetApp, Citrix, Intel), academic appointments (Cambridge, Imperial, UCLA), and entrepreneurial ventures (XenSource, Unikernel Systems, Docker). Madhavapeddy earned his PhD at Cambridge's Computer Laboratory in 2006. His research bridges computational systems and planetary-scale environmental challenges, with deep expertise in open-source development (OCaml, Xen, Docker, OpenBSD) and technology strategy advising for organizations including Zededa, Tezos Foundation, and Tarides. His work centers on environmental computing and climate informatics, leveraging distributed systems and functional programming to develop sensing infrastructure for conservation. Recent projects focus on carbon credit systems, AI-driven biodiversity monitoring, and sustainable computing architectures that minimize ecological footprints while maximizing analytical capability. Analysis of his 2025 publications reveals a concentrated effort on AI-integrated conservation tools, privacy-preserving carbon accounting, and energy-efficient computing. Key themes include spatial networking for ecological data, LLM-enhanced evidence retrieval in conservation science, and novel metrics for extinction risk assessment—demonstrating computational innovation applied to urgent planetary boundaries. No scientific awards were documented in the source material. Madhavapeddy advises multiple technology firms on strategic development while leading the Cambridge Centre for Carbon Credits, though specific grant funding details remain unreported. He actively contributes to the Environment and Energy Group at Cambridge's Computer Laboratory and directs the interdisciplinary Cambridge Centre for Carbon Credits (4C). His open-source leadership spans critical infrastructure projects including OCaml, Xen, and Docker, fostering collaborative development communities that underpin modern cloud and container technologies.

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