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Ricardo AlonsoView profile

Professor

• Organizational Economics
• Contract Theory
• Information Economics
• +3 more

Professor Ricardo Alonso is a Professor of Management at the London School of Economics (LSE), Department of Management since 2014. Previously, he held academic positions at the University of Southern California and Kellogg School of Management. He holds a PhD in Managerial Economics & Strategy from Northwestern University and an MS in Electrical Engineering from the Universidad Politécnica Madrid. His research focuses on organizational economics, contract theory, and information economics, with notable contributions to Bayesian persuasion, delegation mechanisms, and political economy. Key publications include work on voter persuasion, optimal delegation, and organizational adaptation. His academic leadership roles include directing the LSE Master’s in Management Programme and the PhD Programme in Business Economics. Alonso has been recognized with the Excellence in Refereeing Award from the American Economic Review (2009) and has served as a referee for top journals like Econometrica and the Review of Economic Studies. His work bridges theoretical economics with practical applications in management strategy and policy design. Education: PhD, Managerial Economics & Strategy, Kellogg School of Management, 2007 MSc, Management Economics, University of Essex, 2001 MS, Electrical Engineering, Universidad Politécnica Madrid, 1996 Research Interests: Organizational design, strategic communication, political persuasion, and incentive structures in multi-agent systems. Professional Service: Research Fellow at CEPR (2015–present), grant reviewer for NSF and ERC, and discussant at major academic conferences. Industry Experience: Over a decade in telecommunications leadership roles at Telefónica across Europe and the Americas, including launching greenfield operators and e-commerce platforms. His research explores how organizations optimize decision-making through delegation and information design, with applications in corporate strategy and public policy. Recent work analyzes persuasion strategies in elections and investor contexts, leveraging tools from game theory and behavioral economics.

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.

Florian StahlView profile

Professor

• Empirical Quantitative Marketing
• Marketing Analytics
• Digital Marketing
• +14 more

Florian Stahl is Professor of Marketing at the University of Mannheim, affiliated with the Department of Business Administration in the Business School. His research focuses on empirical quantitative marketing, digital transformation, and marketing analytics, with applications in digital communications, pricing, and social media. His research interests include: Empirical Quantitative Marketing Marketing Analytics Digital and Social Media Marketing Economics of Data and Digital Products Brand and Advertising Strategy Behavioral and Experimental Marketing Methodologically, he employs applied econometrics, machine learning, and experimental designs. His recent publications center on influencer marketing, online reviews, network effects, and digital content strategies, reflecting a strong trend toward understanding consumer behavior in digital ecosystems using data-driven approaches. His scientific awards include: H. Paul Root Award (2012) MSI Best Paper Award (2012) Donald R. Lehmann Award (2021) IJRM Best Paper Award (2014) Finalist, Paul E. Green Award (2021) Finalist, Harold H. Maynard Award (2012) Florian Stahl has advised numerous research projects and published in top-tier journals, contributing significantly to marketing science. He has held research grants and collaborative projects, though specific grant details are not listed. He leads the Chair of Quantitative Marketing and Consumer Analytics and maintains an active research team focused on digital marketing innovations. His lab, the Quantitative Marketing and Consumer Analytics team, conducts cutting-edge research on user-generated content, influencer dynamics, and digital strategy, leveraging real-world data and experiments.

Panagiotis AndriotisView profile

Lecturer

• Cyber Security
• Human Factors in Security
• Mobile and Ubiquitous Computing
• +7 more

Dr. Panagiotis Andriotis is a Lecturer in Computer Science at the School of Computer Science, University of Birmingham, within the College of Engineering and Physical Sciences. He is also a GIAC Certified Forensic Examiner (GCFE, GASF) and a Senior Fellow of the Higher Education Academy (SFHEA). His interdisciplinary research spans Cyber Security, Human Factors, and Mobile and Ubiquitous Computing. He teaches courses in Computer Science, Cyber Security, and Digital Forensics. His educational background includes a PhD in Computer Science from the University of Bristol (2016), an MSc with Distinction in Computer Science from the same institution (2011), and a BSc in Mathematics from the National and Kapodistrian University of Athens (2004). Dr. Andriotis’s research interests focus on user-centered security, particularly in mobile environments. He investigates how users interact with Android’s permission systems, develops novel authentication mechanisms like Bu-Dash, and explores adversarial machine learning in cybersecurity. His work bridges technical and human aspects, aiming to improve both system robustness and user experience. His recent publications reflect a strong trend in adversarial machine learning, mobile malware detection, usable privacy, and the societal implications of AI in education. He has contributed to high-impact journals such as IEEE Transactions on Cybernetics, ACM Transactions on Privacy and Security, and Elsevier’s Journal of Information Security and Applications. Best Paper Award at HCI International 2020 Impact Award, UWE Bristol Student Union GIAC Certified Forensic Examiner (GCFE) GIAC Advanced Smartphone Forensics (GASF) SANS Lethal Forensicator Coin Dr. Andriotis has advised PhD students, including Andrew McCarthy, and has been involved in funded research projects such as those related to fuzzing, software security, and critical infrastructure protection in collaboration with Airbus. He has served as an External Examiner at Cardiff Metropolitan University and is currently on the editorial boards of Digital Threats: Research and Practice (ACM) and the Journal of Responsible Technology (Elsevier). He has held visiting roles at the National Institute of Informatics in Tokyo, including as a JSPS Fellow and Toshiba Fellow. He leads research in digital forensics and security, with a lab focus on mobile ecosystems, behavioral modeling, and AI-driven threat detection. His team explores both technical and human dimensions of cybersecurity, contributing to tools and frameworks that enhance mobile security and user awareness.

Youchang WuView profile

Associate Professor

• Institutional Investors
• Corporate Finance
• Portfolio Management
• +8 more

Youchang Wu is an Associate Professor of Finance and John B. Rogers Research Scholar at the Department of Finance, Lundquist College of Business, University of Oregon. His affiliations include the Cameron Center for Finance and Securities Analysis and the Master of Science in Finance program. Research Interests: Institutional Investors, Corporate Finance, Production Networks, Monetary Policy, and Macro Uncertainty Previous Positions: IPA Financial Economist at SEC, Assistant Professor at University of Wisconsin-Madison, University Assistant at University of Vienna, Junior Faculty Member at Peking University Education: PhD in Finance (University of Vienna), Master’s and Bachelor’s in Economics (Peking University) His research explores institutional investor behavior, production network dynamics, and corporate finance mechanisms. Recent projects examine private equity's environmental impact, pension plan investment performance, and trade credit implications in production networks. Scientific Awards: Engelbert Dockner Fellowship (2023) Consumer Protection Research Grant (University of Oregon, 2023) Dave Petrone Financial Literacy and Wellness Research Award (2022) Dean's College Service Award (2022) Wu has served as Associate Editor for China Finance Review International and Guest Editor for Pacific Basin Finance Journal . He has taught courses in derivatives, asset management, corporate finance, and international financial management.

James WoodView profile

Academic

• Political Economy
• Innovation Policy
• Housing Policy
• +7 more

James Wood serves as an Associate Teaching Professor in Political Economy within the Department of Politics and International Studies (POLIS) at the University of Cambridge, where he is also affiliated with the Faculty of Human, Social, and Political Science. Additionally, he holds a Staff Fellowship in Politics at Trinity Hall, Cambridge, where he serves as the HSPS Director of Studies and Undergraduate Tutor, having previously served as Acting Senior Tutor of the College. University of Sussex: B.A. in Economics (2010-2013) King's College London: M.A. (2014) and Ph.D. in International Political Economy (2017) Wood's research focuses on political economy with particular emphasis on innovation policy, housing systems, and crisis construction across the United States, United Kingdom, and European Union. His work examines how housing functions as an asset-based welfare system, the political dimensions of innovation policymaking, and the construction of economic crises in contemporary democracies. He investigates the role of megaprojects in regional development and the political economy of welfare state transformation, particularly examining housing as what he terms the 'fifth pillar' of the welfare state. His recent publications reveal a strong focus on polycentric governance approaches to innovation, the political dynamics of housing policy, and the comparative analysis of economic policy responses to crises. Wood's research connects theoretical political economy with practical policy analysis, often examining how economic policies are constructed and legitimized in different political contexts. Co-convenor of the Political Studies Association's British and Comparative Political Economy Specialist Group Associate Editor of the Cambridge Journal of Regions, Economy and Society Before entering academia, Wood spent nearly a decade working at one of the largest mortgage joint ventures in the United States, providing him with practical industry experience that informs his academic research on housing finance and asset-based welfare systems. His research bridges academic theory with real-world policy challenges, particularly in the areas of housing affordability, innovation ecosystems, and the political management of economic crises.

• 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)

• Chemistry Education
• Student-centered Inquiry-based teaching
• Technology Integration in Chemistry Education
• +3 more

Tanya Gupta is a Lecturer in the Department of Chemistry and Biochemistry at the University of Oregon , College of Arts and Sciences. With a PhD in Chemical/Science Education from Iowa State University, she specializes in student-centered inquiry-based teaching and technology integration in chemistry education. Education : PhD (2012) and MEd (2007) in Science Education from Iowa State University; MSc (2000) in Inorganic Chemistry and BSc (1998) in Chemistry Honors from Indian institutions Tanya’s research focuses on enhancing student retention through inquiry-based pedagogy , simulations , and collaborative learning . Her work addresses Diversity, Equity, Inclusion & Access (DEIA) in STEM education, with expertise in instructional design models like ADDIE, SAM, and Kirkpatrick. She has taught at multiple institutions, including Iowa State University and Grand Valley State University, delivering both large-enrollment and graduate-level courses through face-to-face, hybrid, and distance education platforms. Tanya’s publications and book chapters highlight her contributions to technology integration in chemistry education, game-based learning , and social media applications for student engagement. Her work spans curriculum development, educational research, and professional development for science educators.

• Health Economics
• Economics of Education
• Development Economics
• +3 more

Jinhu Li is a Senior Research Fellow at the Australian National University, holding positions in both the Department of Health Economics, Wellbeing and Society and the National Centre for Health Workforce Studies. She has previously held academic positions as a Senior Lecturer at Deakin University and a Senior Research Fellow at the University of Melbourne. Dr. Li completed her PhD in Economics from McMaster University in Canada, following an MA in Economics from the University of Victoria and a BA in Economics from Huazhong University of Science and Technology in China. She is also a Fellow of the UK Higher Education Academy (HEA). Her research focuses on health economics, economics of education, and development economics, with particular emphasis on social determinants of health, human capital formation, and health workforce economics. Dr. Li employs advanced methodologies including causal inference techniques and Discrete Choice Experiments to investigate critical issues in health, education, and development. Her recent publications span topics including the impacts of education on health outcomes, physician behavior and incentives, early-life health shocks, and child malnutrition. Her work appears in leading journals such as Journal of Health Economics, Journal of Development Economics, Health Economics, and Social Science and Medicine. Dr. Li has received significant recognition for her research, including an Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) from 2017-2023. She has secured over $4.2 million in research funding, with $3.8 million from Category 1 national competitive grants. She currently leads multiple major research projects, including an ARC DECRA project, an ARC Discovery Project, and an MRFF Primary Health Care Research grant. Her current research examines the impacts of counter-COVID public policies like school closures on child development and optimal workforce mix for team-based care in managing chronic diseases.

Donna J. CaluView profile

Associate Professor

• Reward Learning
• Motivation
• Addiction Vulnerability
• +12 more

Donna J. Calu , PhD, is an Associate Professor in the Department of Anatomy and Neurobiology at the University of Maryland School of Medicine . Her research focuses on behavioral and systems neuroscience to uncover brain mechanisms underlying addiction vulnerability , reward learning , motivation , and individual differences . She employs optogenetics , chemogenetics , in vivo electrophysiology , and fiber photometry to investigate amygdala, cortical, and striatal circuitry. Education: BS in Biology (University of Maryland, College Park), PhD in Neuroscience (University of Maryland School of Medicine) Postdoctoral Training: National Institute on Drug Abuse (NIDA), mentored by Yavin Shaham Her work identifies dopamine signaling and neural pathways (e.g., BLA-insular cortex, BLA-nucleus accumbens) as critical for cue-driven behaviors and resilience to relapse . Recent studies explore CB1R signaling , psychedelic effects on dopamine, and sex differences in addiction models. Scientific Awards include PECASE , NARSAD Young Investigator Award , Outstanding Young Scientist (Maryland Science Center), and Top Junior Investigator (Winter Conference on Brain Research). She serves as Director of the Program in Neuroscience (2023-present) and holds editorial roles in Journal of Neuroscience and Frontiers in Behavioral Neuroscience .

• Pension Systems
• Welfare State Research
• Income Distribution
• +5 more

Axel West Pedersen is a Professor at the Department of Social Sciences within the Faculty of Social Sciences , Oslo Metropolitan University. He holds a joint position between OsloMet and the Norwegian Social Research (NOVA) Institute . His work focuses on pension systems, welfare state research, income distribution, and aging-related policy challenges. Core Research Areas: Pension system development, welfare opinion analysis, income inequality, poverty studies, and ecological adaptation of welfare states. Active Projects: Sustainable Wellbeing Through Investment in Social Services (SWINS), Crisis Management and Governance in Nordic Local Democracies (POLYGOV), and Flexible Retirement Pathways analysis. Past Projects: WEST Project analyzing eco-social state transitions, Pension System Legitimacy (PensionLAB), and Children's Living Conditions research. Pedersen's recent publications examine psychosocial work environments for elderly workers, universal basic income debates, and housing allowance equity. He contributes to policy discussions about welfare state sustainability, particularly regarding aging populations and climate change challenges. Contact: axel.pedersen@oslomet.no

Amir Ardestani-JaafariView profile

Associate Professor

• Healthcare Operations
• Supply Chain Management
• Business Analytics
• +2 more

Amir Ardestani-Jaafari is an Associate Professor at the Faculty of Management , University of British Columbia Okanagan, with affiliations to the Institute for the Sustainability (IGS) . His office is located at EME 4111, and he can be reached at amir.ardestani@ubc.ca or 250.807.8108. Postdoctoral Fellow in Operations Management, McGill University Ph.D. in Management Science, HEC Montreal M.Sc. and B.Sc. in Industrial Engineering, Tehran Polytechnic Dr. Ardestani-Jaafari’s research focuses on Healthcare Operations , Supply Chain Management , and Business Analytics , with particular emphasis on robust optimization techniques for facility location, demand uncertainty, and network design. His work integrates mathematical modeling with real-world healthcare and logistics challenges. Recent publications demonstrate expertise in Two-stage Robust Optimization for equity-driven facility location, Text Mining in telemedicine appointment systems, and Decision-dependent Uncertainty in network interdiction. He has explored applications in Home Healthcare , Cancer Screening Networks , and Global Sourcing Compliance using advanced optimization frameworks. Dr. Ardestani-Jaafari is affiliated with key research centers including the UBC Optimization Center (COCANA) , Materials and Manufacturing Research Institute (MMRI) , and GERAD Research Center . While student advising information isn't explicitly stated, his technical contributions span algorithm development for inventory problems, network design methodologies, and computational solutions for complex operations management challenges.

• Artificial Intelligence
• Decision-Making Systems
• Fuzzy Logic
• +5 more

Núria Agell Jané is a Full Professor at ESADE Business School , Universitat Ramon Llull, specializing in Artificial Intelligence and Decision-Making Systems. She leads the JUICE (Judgements and Decisions in the Market Place) research group and the ESADE D3 - Institute for Data-Driven Decisions . Doctorate in Applied Mathematics (Qualitative Reasoning Modelling), UPC-BarcelonaTech Bachelor's in Mathematics, University of Barcelona Her research focuses on Artificial Intelligence , Decision-Making Systems , and Fuzzy Logic , with applications in Business, Marketing, and Sustainability. Recent publications emphasize Hesitant Fuzzy Linguistic Term Sets , Consensus Modeling , and AI in Sustainable Development . She coordinates multiple publicly and privately funded projects applying AI to Business and Marketing challenges. As PhD Programme Director (2005-2013) and current Department Director of Operations, Innovation and Data Sciences , she has shaped academic and research strategies at ESADE. Her work spans collaborations with institutions like LAAS-CNRS (France) and University of Edinburgh Business School , with over 40 journal publications and 50 conference contributions. She has directly supervised 11 PhD students in AI and Decision Sciences.

• Energy Demand Flexibility
• Smart Energy Systems
• Distributed Energy Resources (DERs)
• +9 more

David Shipworth is Professor of Energy and the Built Environment at University College London (UCL), affiliated with both the UCL Energy Institute and the Bartlett School Env, Energy & Resources. He chairs the International Energy Agency’s User-Centred Energy Systems (Users TCP) programme and represents the UK government in this role. Current appointment: 1 Oct 2017 – 1 Jan 2100 at UCL Previous academic roles: Reader (2009–2017) and Lecturer (1999–2008) at UCL and University of Reading Research focuses on: Energy demand flexibility and local energy market models Consumer behavior in distributed energy systems (DERs) Peer-to-peer energy trading and transactive energy systems Design and evaluation of field trials for DER acceptability Thermal comfort and health implications of heating behavior Scientific contributions include: Editorial Board Member, Nature: Scientific Data EPSRC Peer Review College member Key participant in IEA initiatives and UK government advisory groups Teaching involves postgraduate supervision and teaching on UCL’s Smart Energy and the Built Environment MSc programme, with a focus on: User roles in energy transitions Collective-good outcomes in energy systems Business value propositions for smart energy solutions Professional activities span advisory roles for UK and European energy projects, conference speaking engagements, and consultancy work for organizations like UK Power Networks, Energy Systems Catapult, and the International Energy Agency.

Petr JanataView profile

Professor

• Cognitive Neuroscience
• Music Psychology
• Auditory Perception
• +4 more

Petr Janata is a Professor in the Department of Psychology at the University of California, Davis, and a faculty member at the UC Davis Center for Mind and Brain. His research centers on cognitive neuroscience of music, investigating neural mechanisms underlying music-evoked autobiographical memories and the experience of "groove." He serves on the Board of the Society for Music Perception and Cognition and co-founded the UC Music Experience Research Community Initiative (UC MERCI). Janata's educational background includes: Ph.D. in Biology (Neuroscience) from the University of Oregon (1996) B.A. in Interdisciplinary Studies (Biology/Psychology) from Reed College (1990) His research employs behavioral experiments, fMRI, EEG, and computational modeling to explore how music engages memory, emotion, and sensorimotor systems. Key projects examine music-evoked remembering, the psychology of groove, auditory attention mechanisms, and timbre-emotion links. His work reveals how music activates domain-general brain networks for expectation, memory, and emotional processing. Recent publications (2018-2025) show increasing focus on cross-cultural emotional responses to music, neural correlates of nostalgia, mental replay mechanisms, and clinical applications of music cognition. His lab develops innovative paradigms like the Groove Enhancement Machine (GEM) to manipulate sensorimotor synchronization while measuring subjective enjoyment. Janata's scientific recognition includes: Guggenheim Fellowship (2010) Dual Fulbright Fellowships (1990-91, 2010-11) Music Has Power Award from the Institute of Music and Neurological Function (2010) He has delivered over 100 invited lectures globally and served as scientific advisor to Coro Health LLC before founding Meamer, Inc. in 2017 to connect people through memories and music. His translational work bridges basic cognitive neuroscience with real-world applications in health and technology. The Janata Lab at UC Davis integrates neuroimaging, behavioral testing, and computational modeling to advance understanding of music cognition. Current projects explore lifespan neural changes in music processing, adaptive virtual partners for synchronization studies, and sonification systems for physiological monitoring.