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Heikki PeuraView profile

Associate Professor

• Operations Research
• Revenue Management
• Supply Chain Management
• +3 more

Heikki Peura is an Associate Professor in the Department of Information and Service Management at Aalto University School of Business. Previously, he served as an Assistant Professor at Imperial College Business School, Imperial College London. His educational background includes: PhD in Management Science and Operations from London Business School (awarded June 30, 2016) MSc in Engineering Physics and Mathematics from Aalto University, specializing in Systems and Operations Research (awarded April 27, 2010) Professor Peura specializes in analytics methods for understanding and improving firms' operational decisions . His research spans several interconnected domains including revenue management, sustainable energy generation, and supply chain management. He applies advanced analytical techniques to solve complex business problems, particularly focusing on optimization methods and decision-making under uncertainty. His work bridges theoretical operations research with practical business applications, making significant contributions to both academic knowledge and industry practice. Analysis of his recent publications reveals a consistent focus on operational decision-making with applications across multiple sectors. His work demonstrates strong methodological rigor in optimization techniques while addressing practical business challenges in energy markets, supply chain dynamics, and revenue management systems. There's a clear evolution in his research from foundational work in pricing and optimization toward more complex applications involving sustainability, risk management, and strategic decision-making in competitive environments. Professor Peura has been actively involved in teaching operations and supply chain analytics as well as revenue management courses at Aalto University. At Imperial College, he taught courses including Data Structures and Algorithms, and contributed to various Master's programs in Business Analytics and Financial Engineering. His research has established significant connections with industry applications, particularly in energy markets and platform businesses. Professor Peura maintains an active research agenda with several working papers addressing contemporary challenges in non-profit fundraising, decarbonization pathways, and healthcare financing.

Ching-To Albert MaView profile

Professor

• Incentives and Contract Theory
• Industrial Organization
• Health Economics

Ching-To Albert Ma is a Professor at Boston University, specializing in Incentives and Contract Theory, Industrial Organization, and Health Economics. He holds a PhD from the London School of Economics. His research explores topics such as moral hazard in disability insurance, physician agency, healthcare quality incentives, and competition dynamics between public and private sectors. He has lectured internationally on industrial organization and health economics in Finland, Germany, Italy, Norway, Spain, and Switzerland. His work analyzes healthcare payment systems, technology adoption by physicians, and the impact of public policies on healthcare markets. Notable themes include the interplay between altruism and profit motives in healthcare, equity in healthcare access, and the design of efficient health insurance systems. His contributions span theoretical frameworks and empirical analyses of real-world healthcare systems. Ma has advised on healthcare governance reforms and has explored behavioral economics through experimental methods. His articles address issues ranging from antibiotic resistance economics to vaccination externalities, reflecting a commitment to bridging policy and academic research.

• Housing Economics
• Urban and Regional Planning
• Public Policy
• +3 more

Grace K.M. Wong is a Senior Lecturer at the NUS Business School, National University of Singapore (NUS), specializing in Real Estate. She holds a B.Sc. (Estate Management) (Honours) and an M.Sc. (Property & Maintenance Management) from NUS, alongside an MPhil and PhD in Housing Economics from the University of Cambridge, UK. Educated at NUS and University of Cambridge Teaching since 1989 Specializes in housing economics and urban policy Advocates student-centric pedagogy Dr. Wong's research spans housing markets, economics and policies; elderly housing; property management; and quality of life issues. Her pedagogical approach emphasizes active learning , scenario thinking , and metacognitive development . She has contributed to journals like Urban Design International and Journal of Cleaner Production , focusing on sustainable housing solutions and SME energy adoption. Notable scientific awards include multiple NUS Annual Teaching Excellence Awards and recognition from the Centre for Development of Teaching and Learning. She served as Vice-Chair of the NUS Teaching Academy Executive Council (2020-2022) and was a Fellow (2014-2023). Her teaching philosophy prioritizes lifelong learning and adapting to diverse student modalities (visual, auditory, kinesthetic).

Dubravko RadicView profile

Professor

• Service Management
• Price Management
• Applied Microeconometrics
• +5 more

Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.

Anders Kalsgaard MøllerView profile

Associate Professor

• Learning Design
• Computational Thinking
• Artificial Intelligence in Education
• +8 more

Anders Kalsgaard Møller is an Associate Professor in the Department of Culture and Learning at Aalborg University's Faculty of Humanities and Social Sciences. He is actively engaged in research and innovation in learning design, digital technologies, and artificial intelligence in education. His work is centered around the L-ILD (IT and Learning Design), Green Society, and MASSHINE Xlab – Design, Learning and Innovation research environments. His research interests span Learning Design , Computational Thinking , Artificial Intelligence in Education , Human-Robot Interaction , and Environmental Literacy . He investigates how emerging technologies can be integrated into educational practices to enhance collaborative learning, literacy development, and sustainable thinking. His work often involves participatory and co-design methods with educators and children. The recent publications of Anders Kalsgaard Møller reflect a strong trend toward the application of generative AI, robotics, and digital tools in language and primary education. His scholarly output emphasizes interdisciplinary collaboration, technological innovation, and real-world educational impact, particularly in K-12 and higher education contexts. Principal Investigator, 'Using artificial intelligence in English teaching at upper secondary schools' (2023–2026) Co-PI, 'Co-Designing Robot-Assisted Learning for Children' (ongoing) Co-PI, 'Labor market-oriented AI skills at cand.it.' (2024–2026) Co-PI, 'Understanding and fostering future consumers' environmental literacy' (2024–2025) Anders Kalsgaard Møller has been involved in media outreach, including coverage on children's interactions with social robots and discussions on AI in education. He has also contributed to academic leadership through conference organization and editorial roles, such as in the DLI conference series. He is affiliated with key research labs including: L-ILD – IT and Learning Design Green Society MASSHINE Xlab – Design, Learning and Innovation These labs focus on digital innovation, sustainability, and human-centered design in educational contexts.

• Decision Neuroscience
• Neuroeconomics
• Cognitive Neuroscience
• +6 more

Scott A. Huettel is a Professor in the Department of Psychology and Neuroscience at Duke University, where he also serves as Senior Associate Dean for Research in Trinity College of Arts & Sciences. He holds additional appointments as Professor of Neurobiology and Professor in Psychiatry and Behavioral Sciences. As a Bass Fellow, Huettel leads research in decision neuroscience and neuroeconomics, with affiliations spanning multiple Duke research centers including the Center for Brain Imaging and Analysis, Duke Institute for Brain Sciences, and Center for Cognitive Neuroscience. Huettel's research focuses on the brain mechanisms underlying economic and social decision making. His laboratory uses fMRI to probe brain function, behavioral assays to characterize individual differences, and various physiological methods including eye tracking, pharmacological manipulation, and genetics to link brain and behavior. His work has advanced new analysis methods for fMRI data, including functional connectivity analyses, pattern classification, and combinatoric multivariate approaches. His research spans applications in behavioral economics, consumer decision making, and neuroethics. Huettel's recent publications demonstrate a strong focus on social decision making, risk assessment, and the neural mechanisms of economic choices. His work increasingly integrates computational approaches with traditional neuroimaging to better understand how people process information during decision making. His research has significant implications for understanding financial behavior, health decisions, and social interactions across the lifespan. Education in Neuroimaging Award from the Organization for Human Brain Mapping (2021) 2014 Innovation Award from the Social and Affective Neuroscience Society (2013) Bass Fellow for Excellence in Research and Teaching (2012) Jerry G. and Patricia Crawford Hubbard Professorship at Duke University (2012) Top 5% undergraduate instructor in Arts & Sciences at Duke (2010) Dean's Award for Excellence in Mentoring from Duke University Graduate School (2010) Huettel actively mentors students and has trained numerous postdoctoral and graduate researchers who now lead their own laboratories. He is lead author of the textbook Functional Magnetic Resonance Imaging (3rd edition, 2014) and teaches courses including Fundamentals of Decision Science, Decision Neuroscience, and Neuroethics. His research is supported by multiple grants from NIH and other funding agencies, focusing on mechanisms of social behavior, aging, and neuroimaging technology development. Huettel directs a productive research laboratory that integrates multiple methodologies to investigate decision processes. His team combines fMRI, eye tracking, behavioral testing, and computational modeling to examine how people make economic and social choices. The lab has made significant contributions to understanding how attention, risk, and social context influence decision making across different populations including adolescents, older adults, and clinical populations.

Jesper Strandgaard PedersenView profile

Professor

• Organizational Theory
• Institutional Theory
• Organizational Change
• +6 more

Jesper Strandgaard Pedersen is a Professor at Copenhagen Business School (CBS) in the Department of Organization, serving as co-director of the Imagine .. Creative Industries Research Centre. He previously chaired SCANCOR (Scandinavian Consortium for Organizational Research) hosted at Stanford and Harvard Universities, establishing his prominence in global organizational studies. His research centers on organizational and institutional change dynamics, examining institutional action, industry emergence, field structuring, and organizational identity construction. Key studies investigate cultural transformation in high-tech firms, mergers in knowledge-intensive industries, diffusion of managerial practices, and creative enterprise organization in film and culinary sectors. Recent work focuses on culinary movements as innovation drivers, analyzing how gastronomic traditions are strategically constructed and institutionalized. Publication analysis reveals consistent emphasis on creative industries (particularly culinary and film), sustainability intersections, and institutional entrepreneurship. His work demonstrates evolving focus from organizational identity in knowledge firms toward sustainability-driven innovation in food systems, with increasing European collaborations. Methodologically, he bridges qualitative case studies with institutional theory frameworks. Professor Strandgaard supervises PhD students and teaches advanced courses including Research Methodology in Organization and Management Analyses and Institutional Organizational Analysis across MSc, HD, and BSc programs. His external engagement includes executive education with CBS Executive Fonden in 2024. He leads the Imagine .. Creative Industries Research Centre, which investigates creative sector dynamics, and maintains influence through SCANCOR networks despite stepping down as chairman. His research directly informs European creative industry policy debates through frequent media contributions and international conference leadership.

Ellen van LooView profile

Associate Professor

• Consumer Behavior
• Food Marketing
• Digital Food Environments
• +5 more

Ellen van Loo is an Associate Professor at Wageningen University & Research, specializing in Marketing and Consumer Behaviour with a focus on the digital food landscape. Her research emphasizes IT-supported consumer food choices, particularly in online environments, aiming to promote healthy and sustainable dietary decisions. She investigates decision support tools and digital interventions to guide consumer behavior in both physical and online retail settings. Her expertise spans food choice environments, digital marketing, consumer valuation methods, and experimental design. Key projects include exploring the impact of food swaps in online supermarkets, analyzing consumer attitudes toward lab-grown and plant-based meats, and evaluating the effectiveness of front-of-package nutrition labels. Dr. van Loo has authored over 60 peer-reviewed articles, with recent work appearing in Appetite , Food Policy , and Applied Economic Perspectives and Policy . She serves as an Area Editor for the Journal of Agricultural and Applied Economics Association and an Associate Editor for Q Open . Her research has been recognized with 580+ citations and awards for innovative contributions to consumer behavior analysis. She collaborates with industry partners on sustainable food systems and digital decision support tools, contributing to both academic and applied knowledge in food marketing.

• Coffee Chemistry
• Food Science
• Analytical Chemistry
• +3 more

Samo Smrke is a Researcher at the ZHAW School of Life Sciences and Facility Management, specializing in the Coffee Competence Centre and Analytical Technologies. His work focuses on advancing coffee science through projects like the SCA Coffee Expertise Program and collaborations with industry leaders such as Nespresso and Julius Meinl. He has led multiple research initiatives including studies on coffee freshness, roasting effects, aroma release mechanisms, and packaging technologies. Smrke's research interests span coffee chemistry, analytical techniques, and sensory analysis. He has published extensively on topics such as degassing kinetics of roasted coffee, antioxidant generation during roasting, and aroma modulation in instant coffee products. His work often employs advanced methods like proton transfer reaction mass spectrometry (PTR-MS) and gravimetric analysis. He is a co-author of influential books including The Coffee Freshness Handbook and The SCA Water Quality Handbook , which provide foundational knowledge for industry professionals. Smrke’s projects frequently bridge academic research with practical applications, addressing challenges in coffee production, storage, and quality assurance.

Ulf HedestigView profile

Senior Lecturer

• Internet of Things (IoT)
• Digital Government
• E-learning
• +4 more

Ulf Hedestig is a Senior Lecturer at the Department of Informatics, Umeå University. Based in MIT building, Umeå, Sweden, he focuses on technology-mediated education and digital government research. Contact: ulf.hedestig@umu.se , +46 90 786 61 32. Research Themes : IoT in public spaces, user-centered design, digitalization in education and government, mobile learning environments, knowledge transfer challenges Recent Trends : 2020 work on IoT urban applications, 2018 publications on China's digital strategies and O2O business models Key Collaborations : Mikael Söderström, Daniel Forest, Victor Kaptelinin Scientific Recognition : Excellent Teacher pedagogical qualification Distinguished University Teacher educational qualification

Kerri McBee-BlackView profile

Assistant Professor

• Adaptive Apparel
• Inclusive Design
• Disability Studies
• +2 more

Kerri McBee-Black is Assistant Professor and Helen Allen Faculty Fellow in the Department of Textile and Apparel Management at the University of Missouri, affiliated with the College of Arts & Science. She holds a PhD, MS, and BS from Missouri institutions and is a CLO3D Accredited Instructor. Her research focuses on adaptive apparel design addressing needs of people with disabilities. Education includes: PhD, University of Missouri MS, University of Missouri BS, Columbia College McBee-Black's work pioneers inclusive design innovations through user-centered approaches, examining functional challenges like independent dressing mechanisms and wheelchair-adaptive clothing. She investigates industry certification standards and digital commerce accessibility while integrating historical costume features into contemporary adaptive solutions. Her research employs mixed methodologies including systematic reviews, case studies, and participatory design. Recognitions include: Innovative Excellence Award (University of Missouri System) Multiple Langsam Family Faculty Appreciation Awards Over $74,000 in funded research grants She mentors undergraduate/graduate design projects and integrates industry partnerships into curriculum development.

Raja JurdakView profile

Professor

• Distributed Systems
• Blockchain Technology
• Network Modeling
• +7 more

Professor Raja Jurdak is a leading academic in distributed systems and applied data sciences at Queensland University of Technology (QUT), where he directs the Trusted Networks Lab. He holds dual roles as Professor of Distributed Systems and Chair in Applied Data Sciences, alongside leadership in the Centre for Data Science. His research focuses on dynamic network modeling, blockchain-based trust frameworks, and IoT applications, with particular emphasis on cybersecurity, energy efficiency, and mobility-driven diffusion processes. Jurdak formerly led CSIRO's Distributed Sensing Systems Group and maintains a visiting scientist role there. Education: PhD in Information and Computer Science, University of California, Irvine MS in Computer Networks and Distributed Computing, University of California, Irvine BE in Computer and Communications Engineering, American University of Beirut Research Interests: Network science, blockchain technology, IoT security, sustainable energy systems, and data-driven decision-making. His work bridges theoretical advancements with practical applications in smart grids, health surveillance, and urban mobility. Awards: Finalist for the 2019 Eureka Prize, multiple CSIRO accolades, and IEEE Senior Member status. His research has received industry recognition for interdisciplinary innovation, including the DiNeMo project's real-time disease surveillance system. Advisory & Grants: Leads high-impact projects funded by government and industry partnerships. Supervises PhD candidates in areas like decentralized data processing and privacy-preserving AI. Holds editorial roles at journals such as Ad Hoc Networks and PLoS ONE . Labs & Teams: Directs the Trusted Networks Lab at QUT, fostering collaborations with institutions like Oxford University and MIT. His work emphasizes cross-disciplinary teams to address global challenges in cybersecurity and sustainable systems.

Federico BecattiniView profile

Assistant Professor

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +7 more

Federico Becattini is a Tenure-Track Assistant Professor at the Department of Information Engineering and Mathematics (DIISM), University of Siena, Italy. He is an active member of the Siena Artificial Intelligence Lab (SAILab), where he contributes to cutting-edge research in computer vision, deep learning, and artificial intelligence. His work spans multiple interdisciplinary domains, including autonomous driving, human behavior understanding, cultural heritage, neuromorphic vision, and fashion recommendation. His research interests center on memory-based neural networks , which he has applied in numerous publications at top-tier venues such as CVPR, ECCV, IEEE TPAMI, and ACM TOMM. He has also delivered tutorials on this topic at international conferences including ICIAP 2022 and ACM MM 2022, and taught a Ph.D. course at the University of Florence. His recent work is aligned with the Collectionless AI paradigm, which emphasizes continual learning and interaction with dynamic environments. The recent publications highlight a strong trend in human-centric AI , focusing on understanding people through multimodal analysis of face, body, and clothing, as well as generating 3D virtual avatars. There is also a clear emphasis on memory-augmented architectures for temporal reasoning, explainability, and adaptive learning. His editorial role as Associate Editor of the International Journal of Multimedia Information Retrieval further underscores his standing in the research community. Associate Editor, International Journal of Multimedia Information Retrieval (IJMIR) Organizer, Workshop on Facial and Body Expressions (ICPR2020) Co-organizer, T-CAP Workshop (ICIAP2021, ICPR2022) Co-organizer, MCFR Workshop (ACM MM 2022) Co-organizer, WCPA Workshop and Challenge (ECCV 2022) Federico Becattini actively advises students and researchers within SAILab, particularly in the context of Ph.D. theses and research projects related to Collectionless AI and memory-based models. While specific grants are not mentioned, his extensive publication record and leadership in workshops and editorial roles suggest involvement in funded research initiatives. He collaborates with both academic and international research communities, serving as a reviewer for top-tier conferences and journals. He is a core member of the SAILab research group, which is pioneering the Collectionless AI initiative—a framework for continual learning over time, interacting with humans and agents without relying on pre-built static datasets. This lab serves as a hub for innovation in adaptive and sustainable AI systems.

Christian UnkelbachView profile

Professor

• Social Cognition
• Evaluative Judgments
• Information Ecologies
• +6 more

Christian Unkelbach is Professor of Social Psychology at the Department of Psychology, Faculty of Humanities, University of Cologne, where he leads the Unkelbach Group. His research spans multiple domains of social and cognitive psychology with significant contributions to understanding evaluative processes. His primary research interests include Social Cognition, Evaluative Judgments, Information Ecologies, Stereotypes and Prejudice, Evaluative Learning, Fluency Effects, and Sport Psychology. Unkelbach's work examines how humans process evaluative information in social contexts, with particular focus on the truth-by-repetition effect , evaluative conditioning , and cognitive ecological frameworks that explain why certain information patterns dominate social cognition. His research demonstrates how repetition increases belief in information , how attributes become associated through mere pairings , and why positive information is processed more efficiently than negative information. Analysis of his recent publications reveals a consistent trajectory examining the relativity of social cognition , truth effects across contexts , and metacognitive awareness of cognitive biases . His work increasingly integrates cross-linguistic perspectives and examines real-world applications in media consumption and social judgment. Honorary Doctorate from UCLouvain (2025) ISCON Best Paper Award 2020 Speaker of DFG Research Unit FOR2150 'Relativity in Social Cognition' (2017-2021) Emmy Noether Research Grant (DFG, 2009-2013) Feodor Lynen Research Scholarship (Alexander von Humboldt Foundation) Fulbright Scholarship Unkelbach has advised numerous doctoral researchers including Andreas Miculka, Anne Irena Weitzel, Felix Speckmann, Lea Sperlich, and Tabea Zorn. His research group has secured multiple C-SEB grants for projects examining social cognition phenomena. The Unkelbach Group maintains active collaborations with international researchers across Europe and North America, with recent work funded through the DFG Research Unit on Relativity in Social Cognition. The Unkelbach Group laboratory at Richard-Strauss-Str. 2 in Cologne comprises postdoctoral researchers, doctoral candidates, and student assistants working on experimental paradigms examining evaluative learning, truth effects, and social judgment processes. Current projects investigate cross-linguistic truth effects, metacognitive monitoring of repetition effects, and ecological validity in social cognition frameworks.

• Open Innovation
• Technology Transfer
• Food Industry Innovation
• +4 more

Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)