Dimitrios Skalkos serves as a Professor at the Department of Chemistry, University of Ioannina, holding the specific title of Professor of Innovation Management in Food Businesses. His office is located in building X2, room X2-206c on the Ioannina Campus (45110 Ioannina), and he leads the Food Chemistry Laboratory. He earned his Basic Degree in Chemistry from the University of Ioannina (1980-1985) followed by a Doctoral Degree from the University of Toledo, USA (1986-1989) with dissertation research on "Di- and Tetrahydroporphyrins: Syntheses and Antitumor Activities". Skalkos's research spans Food Business Management, Food Innovation, and Innovation Management, with specialized focus on Innovation & Entrepreneurship, Aromatic Plants, Innovative Foods, and Strategic Marketing. His work bridges academic research with industry applications in food systems, emphasizing Greek agricultural products and pandemic-era consumer behavior. His 36 publications (2020-2024) reveal strong trends in post-pandemic food innovation, consumer perception of traditional Greek foods, functional food development (particularly olive oil, cheese, and grape by-products), and sustainable agri-food supply chains. Key thematic clusters include traceability systems, bioactive properties of novel foods, and economic impacts on food choices. He has actively supervised Master's and PhD students through departmental presentations, directed 23 research programs, and organized 15 seminars and conferences. His laboratory website ( https://foods.chem.uoi.gr ) showcases ongoing food chemistry innovations.
Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.
Prof. Dr. Frank Ulbrich is a Lecturer and Programme Director for the BSc Business Administration at the Lucerne School of Business (HSLU). He holds a PhD in Business Administration from the Stockholm School of Economics. His academic career spans roles at universities in Sweden, the UK, Canada, and Switzerland, alongside IT & Management consulting experience. Research focuses on management education, project management, information management, and organizational change. He has published extensively in areas like shared services, digital transformation, and curriculum development. Notable awards include multiple Emerald Literati Awards and a Fellowship from the Higher Education Academy. Education: PhD in Business Administration (Stockholm School of Economics) Affiliations: Institute of Business and Regional Economics at HSLU Teaching Subjects: Academic Methods, Higher Education Management, Project Management, Digital Transformation Recent presentations include discussions on bridging academia-industry gaps, curriculum integration of SDGs, and data-driven learning strategies. His work emphasizes aligning education with labor market needs and advancing evidence-based teaching practices.
Dr. Juan Manuel Berbel Pineda is a full Professor at the Department of Business Organization and Marketing at Universidad Pablo de Olavide, Spain. His academic work focuses on tourism economics, sustainable tourism practices, and international business strategies, particularly within the hotel industry and textile sector. Key research areas: Tourism Economics, Sustainable Tourism, International Business Strategy Affiliated with IMEGS (Innovation and Marketing for a Sustainable Global Environment) research group Doctoral Programs: Innovation, Entrepreneurship and Family Business His research explores tourism competitiveness and internationalization patterns through empirical studies on hotel chains in Latin America, fair trade impacts in emerging economies, and post-COVID-19 rural tourism development. Analysis of 15 recent publications reveals strong emphasis on structural equation modeling, cross-cultural comparisons, and market segmentation strategies. Current academic activity includes international collaborations with institutions like Massey University, Varna University of Management, and University of Mauritius. His 2020 work on Ecuadorian chia seed exports demonstrates methodology for EU market selection using 7-dimensional indicators, while his sustainable tourism studies provide frameworks for pandemic-era tourism revival through non-overcrowding strategies.
Yao Qin is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), with dual affiliation in the Department of Computer Science. She concurrently serves as Co-Director of the REAL AI Initiative at UCSB and holds a Senior Research Scientist position at Google DeepMind, where she contributes to the Gemini Multimodal project. Her academic credentials include a PhD in Computer Science and Engineering from the University of California, San Diego (advised by Prof. Garrison W. Cottrell) and a BS in Electrical Engineering from Dalian University of Technology. During her doctoral studies, she completed internships with pioneering researchers Geoffrey Hinton and Ian Goodfellow. Dr. Qin's research program centers on machine learning robustness, with emphasis on adversarial robustness, out-of-distribution generalization, and fairness. She develops reliable AI systems specifically for healthcare applications, with diabetes management as a primary focus. Her lab explores critical themes including AI safety in multimodal models and diabetes-specific AI solutions, particularly exercise metabolism modeling and glycemic effect prediction. Recent publications reveal a strong trajectory in robust machine learning with cross-domain applications. Her work consistently bridges theoretical robustness concepts with practical healthcare implementations, particularly in diabetes care. Key publication venues include CVPR, ICML, NeurIPS, and ICLR, with notable contributions to out-of-distribution detection, adversarial transfer learning, and multimodal AI safety. Her distinguished recognition includes: EECS Rising Star at MIT (2021) UCSB Regents' Junior Faculty Fellowship Award Helmsley Charitable Trust award for Type 1 diabetes research UCSB Faculty Research Grant American Diabetes Association Abstract Award (ADA-2025) Dr. Qin actively mentors four PhD students—Mehak Dhaliwal, Andong Hua, Kenan Tang, and Youngseok Yoon—on projects spanning LLMs for diabetes, multimodal robustness, and generative time-series modeling. Her research is funded by the Helmsley Charitable Trust and UCSB, with recent grants supporting exercise-specific AID algorithms for diabetes management. As Co-Director of the REAL AI Initiative, she leads a research ecosystem focused on developing reliable artificial intelligence. Current lab activities include organizing workshops at NeurIPS-2024 (AdvML-Frontiers and AIM-FM) and developing next-generation diabetes management tools through collaborations with medical institutions.
Christopher R. Knittel is the George P. Shultz Professor of Energy Economics and Professor of Applied Economics at the Massachusetts Institute of Technology (MIT) Sloan School of Management . He serves as Director of MIT’s Center for Energy and Environmental Policy Research (CEEPR), Director of the MIT Climate Policy Center, and Deputy Director for Policy at the MIT Energy Initiative (MITEI). PhD, University of California, Berkeley (1999) M.A., University of California, Davis (1996) B.A., California State University, Stanislaus (1994) His research focuses on energy economics, environmental policy, and machine learning applications in energy systems. He leads interdisciplinary initiatives like the Climate Action Through Education program for high schools and co-directs the E2e Project with UC Berkeley and University of Chicago. Recent publications analyze data center energy dynamics, hydrogen technologies, Russian oil sanctions, and transportation policy reforms. His work emphasizes policy cost-effectiveness, emissions equity, and energy market responses to regulation.
Nicole Koschate-Fischer is Professor and holds the GfK Chair for Marketing Intelligence at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where she currently serves as Dean of Research at the Faculty of Business, Economics and Social Sciences. She is spokesperson for the interdisciplinary research focus "Customer Insights" and founding director of the Experimental Lab for Business Insights Nuremberg (ELAN). Previously, until September 30, 2024, she served as spokesperson for the Institute of Marketing and head of the Master's in Marketing program. Professor Koschate-Fischer earned her doctorate and habilitation from the University of Mannheim after completing a degree in business administration and psychology. Her academic journey includes membership in the interdisciplinary Collaborative Research Center "Concepts of Rationality, Decision Behavior, and Economic Modeling" at Mannheim, along with research stays as visiting scholar at University of Florida and University of Texas at Austin. She has held professorships at Technical University of Kaiserslautern and HEC Paris, and served as visiting professor at University of Vienna and Central University of Finance and Economics in Beijing. Research Interests Professor Koschate-Fischer's research spans customer insights , digital marketing , pricing and product management , and marketing analytics . Her work investigates consumer behavior in digital contexts, brand partnerships, life event impacts on purchasing decisions, and the psychological aspects of pricing. She employs experimental research methods and mediation analysis to understand causal relationships in consumer decision-making processes. Her publication record demonstrates consistent high-impact research in leading journals including Journal of Marketing, Journal of Marketing Research, and Journal of the Academy of Marketing Science. Recent work focuses on digital communication phenomena like emoji usage in electronic word-of-mouth, conversational agent interactions, and the application of behavioral pricing principles in charitable contexts. Professional Recognition Full member of the Bavarian Academy of Sciences and Humanities Member of the Board of Academic Trustees of the Center for Advanced International Marketing Knowledge (AiMark) Editorial board member of Journal of International Marketing Professor Koschate-Fischer regularly serves as reviewer for leading international academic journals and presents her research at both academic and practitioner-oriented conferences. Her work receives funding from organizations including the German Research Foundation (DFG), and she maintains active collaborations with renowned companies across various industries. She has directed the Experimental Lab for Business Insights Nuremberg (ELAN) since its founding, creating a hub for interdisciplinary customer insights research that bridges academic rigor with practical business applications.
Professor Winston Hsu is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served as a full professor since 2015. He is the co-director of the Communications and Multimedia Laboratory (CMLab) and founder of the MiRA (Multimedia indexing, Retrieval, and Analysis) research group. Additionally, he serves as the Founding Director for NVIDIA AI Lab at NTU, the first such lab in Asia. Professor Hsu received his Ph.D. in Electrical Engineering from Columbia University in 2007 under the supervision of Professor Shih-Fu Chang. Prior to his academic career, he was a founding engineer and research manager at CyberLink Corp., now a public image/video software company. National Taiwan University (2007-Present): Professor (2015-Present), Assistant/Associate Professor (2007-2015) MobileDrive (2021-2024): CTO and Vice President (Joint Venture between Foxconn and Stellantis) IBM TJ Watson Research Center (2016-2017): Visiting Scientist Microsoft Research Redmond (2014): Visiting Researcher Columbia University (2007): Ph.D. in Electrical Engineering Professor Hsu's research focuses on machine learning, computer vision, large-scale image and video search and recognition, and embedded AI. His work spans from fundamental research in visual recognition to practical applications in automotive systems, medical imaging, and e-commerce. He has pioneered work in disguised face recognition, low-resolution face hallucination, 3D model search, and virtual try-on systems. His current research emphasizes Embodied AI, integrating perception, action, and learning technologies for applications in automotive and robotics domains. His research group has produced numerous influential publications, particularly in top computer vision and multimedia conferences like CVPR, where they won first place in the Disguised Face Recognition competition in 2018. Their work spans diverse application areas including security, medical diagnostics, automotive systems, and e-commerce solutions, demonstrating strong translation from academic research to real-world impact. IBM Research Pat Goldberg Memorial Best Paper Award (2018) First Place, IARPA Disguised Faces in the Wild Competition (CVPR 2018) Best Brave New Idea Paper Award, ACM Multimedia 2017 NVIDIA AI LAB Award (First in Asia, 2016) First Place, MSR-Bing Image Retrieval Challenge (2013) World's Top 2% Scientists (2023) Professor Hsu actively mentors students and researchers, with his group consistently recruiting PhD students, postdocs, and research assistants. He has successfully bridged academia and industry through multiple collaborations, including his role as CTO at MobileDrive (a joint venture between Foxconn and Stellantis) from 2021-2024. His research has been supported by significant industry partnerships with Microsoft, IBM, and NVIDIA, as well as government grants from Taiwan's Ministry of Science and Technology. His laboratory, the Communications and Multimedia Laboratory (CMLab), maintains strong industry connections and focuses on cutting-edge research in visual AI. The lab has produced numerous award-winning projects and maintains active collaborations with global technology companies, particularly in the automotive and consumer electronics sectors.
Demetris Christodoulou is an Associate Professor in Accounting, Governance and Regulation at the University of Sydney. He holds a BEcon from Piraeus University, an MSc(Fin) from the University of York (UK), and a PhD from Athens University of Economics and Business (AUEB). His research focuses on applying data analytics, econometrics, and visualization techniques to financial analysis, equity valuation, life insurance, and financial advice. He co-directs the PEMA research group, specializing in productivity and performance measurement analytics, and previously led the MEAFA research group (2007–2022). He has collaborated extensively with industry partners including Deloitte and Australian insurers, and developed training programs for over 1,000 executives. His work includes open-source contributions to Stata software and the Graph Workflow platform, alongside $662k in workshop-generated funds supporting academic programs. He has advised multiple PhD students and taught at leading universities globally. Education: BEcon in Economics (Econometrics), Piraeus University MSc in Finance, University of York (UK) PhD in Accounting and Financial Analysis, Athens University of Economics and Business His research interests span financial reporting models, life insurance underwriting strategies, and behavioral finance. Recent projects address dishonesty mitigation in insurance disclosures and the adviser effect on customer disclosures. He has published widely in top journals like the Review of Accounting Studies and Stata Journal , and his work was featured in The Australian for insights on insurance fraud reduction. He maintains international collaborations, including visiting roles at Columbia Business School and the University of Cyprus, and serves on advisory boards for organizations like Behaviour.ai. Publications highlight methodological innovations in econometrics and visualization, with 2025's upcoming Stata Journal paper advancing time-series analysis techniques. His grants include partnerships with industry on longitudinal studies of insured lives, aiming to improve risk modeling and public policy insights.
Eva Ascarza is a Professor of Business Administration in the Marketing Unit at Harvard Business School (HBS) . She co-founded the Customer Intelligence Lab at HBS's D 3 Institute, focusing on responsible and effective customer data utilization. Research Interests include: Customer retention and churn analysis Algorithmic bias in marketing AI Field experimentation (A/B testing) for targeting optimization Customer lifetime value (CLV) modeling Dynamic personalization strategies Scientific Awards and Recognitions: 2023 Weitz-Winer-O'Dell Award (winner) 2022 Paul E. Green Award (PNAS publication) 2020 Marketing Science Institute (MSI) Scholar 2019 Erin Anderson Award for Emerging Female Scholar 2018 Paul E. Green Award (JMR publication) 2014 Frank M. Bass Outstanding Dissertation Award Her articles demonstrate cutting-edge applications of statistical modeling , Bayesian methods , and fair AI frameworks in modern marketing challenges.
John P. O'Doherty serves as the Fletcher Jones Professor of Decision Neuroscience within Caltech's Division of Humanities and Social Sciences, holding continuous faculty appointments since 2004 (Assistant Professor 2004-07, Associate Professor 2007-09, Professor 2009-present, Fletcher Jones Professor 2021-present). He previously directed the Caltech Brain Imaging Center (2013-17) and maintains affiliations with the T&C Chen Center for Social and Decision Neuroscience. His educational background includes a B.A. from University of Dublin, Trinity College (1996) and D.Phil. from University of Oxford (2000). His research focuses on computational and neural mechanisms of reward-based learning and decision-making , employing fMRI, intracranial recordings, and mathematical modeling to investigate how the brain solves complex decision problems through evolutionarily conserved algorithms. Key areas include Reinforcement learning systems (model-based/model-free arbitration) Observational and social learning mechanisms Neural representation of value, risk, and uncertainty Computational phenotyping of mental disorders Temporal dynamics of goal persistence Analysis of his 2023-2025 publications reveals dominant trends in computational psychiatry (problem gambling, autism traits), hierarchical decision-making, and neuroeconomic modeling of social behavior. His work consistently integrates cross-species computational frameworks with human neuroimaging to identify transdiagnostic mechanisms. While specific awards beyond his endowed professorship aren't detailed, his leadership as Brain Imaging Center Director and prolific high-impact publications demonstrate significant recognition. Current advising includes graduate researcher Sneha Aenugu on goal-persistence projects, with administrative support from Mary A. Martin (mmartin@caltech.edu). His active research program continues to pioneer computational approaches to understanding decision pathologies.
Oden Groth is an Assistant Professor of Digital Marketing and Information Systems at Fairleigh Dickinson University (FDU), affiliated with the Department of Marketing, Management and Entrepreneurship within Silberman College. He holds a BSc from the University of York (UK), MSc from the University of Oxford (UK), and a PhD from Baruch College, CUNY. His research focuses on digital marketing strategies, consumer behavior in technology-driven markets, and sensory marketing applications. Key interests include crossmodal sensory effects on consumer preferences, authenticity perceptions in digital formats, and the role of haptic feedback in advertising. Recent publications explore topics like disability identity's impact on innovation, physical vs digital product symbolism, and multisensory consumer experiences. His work bridges marketing theory with practical applications in e-business and digitization trends. No awards or grants explicitly listed. He teaches courses including Social Media Marketing, E-Business, and Sensory Marketing.
Claudia R. Binder is Full Professor at EPFL's School of Architecture, Civil and Environmental Engineering, leading the Laboratory for Human-Environment Relations in Urban Systems (HERUS) since 2016. Previously, she held professorships at the University of Munich (2011-2016), University of Graz (2009-2011), and University of Zurich (2006-2009). She served as Dean of EPFL's ENAC School from 2020-2023 and holds advisory roles with Swiss federal institutions including the Mercator Foundation since 2024. Her academic foundation includes a Biochemistry degree and PhD in Environmental Sciences from ETH Zurich, followed by postdoctoral research at the University of Maryland. This interdisciplinary background underpins her research approach spanning natural and social sciences. Professor Binder's work centers on urban sustainability transitions, examining urban metabolism dynamics through systems science frameworks. She investigates energy-food-transport interdependencies in cities using transdisciplinary methods that integrate material flow analysis, spatial modeling, and socio-technical assessments. Her research particularly emphasizes regulatory mechanisms and transformation drivers in human-environment systems, with case studies across Swiss and global urban contexts. Recent publications reveal evolving focus from foundational urban metabolism studies toward actionable transition strategies. Her 2024-2025 work increasingly addresses social tipping dynamics, circular decarbonization, and spatially explicit waste management, demonstrating methodological innovation through geo-referenced material flow analysis and participatory backcasting frameworks. Key thematic clusters include energy innovation diffusion, plastic waste governance, and demand-side flexibility in residential systems. She actively mentors 7 current PhD candidates while supervising 11 graduates since 2018, with research spanning urban metabolism modeling, sustainability assessment, and transition governance. Her leadership extends to Swiss National Science Foundation committees and National Research Program 71 on energy consumption management. At EPFL, she directs the HERUS laboratory which develops the Sustainability Solution Space methodology for urban assessment. The lab operates at the intersection of data science, environmental engineering, and social theory, maintaining strong field connections in Switzerland, Indonesia, and Germany for empirical validation of transition models.
Peter N. Belhumeur is a Professor in the Department of Computer Science at Columbia University and Director of the Laboratory for the Study of Visual Appearance (VAP LAB). He holds a Sc.B. from Brown University and a Ph.D. from Harvard University, followed by a postdoctoral fellowship at the University of Cambridge. His career includes roles at Yale University before joining Columbia in 2002. Education: Brown University (Sc.B., 1985), Harvard University (Ph.D., 1993) Postdoc: Isaac Newton Institute, University of Cambridge (1994) His research focuses on computer vision and machine learning, with applications in biodiversity and mobile technology. Notable projects include the Leafsnap, Birdsnap, and Dogsnap apps – pioneering species/breed identification tools using machine learning. He has received awards such as the PECASE, Helmholtz Prize, and EO Wilson Biodiversity Technology Pioneer Award. His work bridges academia and industry, demonstrated by collaborations with Dropbox and contributions to consumer-facing AI applications. The VAP LAB explores visual appearance modeling and computational photography.
Georgia Perakis is the John C Head III Interim Dean of MIT Sloan School of Management and a Professor of Operations Management and Operations Research & Statistics. She has been on MIT Sloan's faculty since 1998, contributing extensively to research in analytics/AI, optimization, and machine learning applications in pricing, supply chains, healthcare, and energy. Recognized as a leading academic, she has won numerous awards, including the INFORMS Fellow and Distinguished MSOM Fellow, along with multiple best paper awards. Perakis has supervised 30 PhD and 59 master's students, fostering lifelong academic relationships. Her administrative roles include co-director of the Operations Research Center and Associate Dean for Social and Ethical Responsibilities of Computing. She currently serves as Editor-in-Chief of M&SOM and has held editorial leadership roles in top journals like Operations Research and Management Science. Her education includes a BS in Mathematics from the University of Athens and advanced degrees in applied mathematics from Brown University. Research Interests : Perakis focuses on solving complex problems at the intersection of optimization and machine learning, with applications in retail promotions, healthcare operations (e.g., emergency department management), and energy systems. Her work emphasizes practical solutions to real-world challenges, leveraging data-driven analytics and prescriptive models. Recent projects include optimizing patient placement in emergency departments and modeling demand for new products in retail. Grants & Awards : Her accolades include the NSF CAREER Award, PECASE Award, and over a dozen best-paper recognitions. Notable contributions include a finalist position in the JD.com Competition (2019) and winning first place for Johnson & Johnson’s demand-prediction work (2018). She has also pioneered methodologies for equitable resource allocation in healthcare. Education & Leadership : Perakis holds leadership roles in interdisciplinary initiatives like the MIT Initiative on the Digital Economy and the Food Supply Chain Analytics and Sensing Initiative. Her teaching excellence is underscored by awards such as the Jamieson Prize and Teacher of the Year (MIT Sloan). She has directed major programs like the MIT Leaders for Global Operations and the Executive MBA program. Labs & Teams : She is affiliated with the Operations Research Center (an interdepartmental PhD program) and collaborates with institutions like UMass Memorial Hospital on healthcare optimization projects. Her work integrates ethics into AI development, emphasizing fairness, bias mitigation, and societal impact.
