Prof. Dr. Ir. Wim Verbeke is a full professor at Ghent University's Faculty of Bioscience Engineering, Department of Agricultural Economics. His research focuses on consumer behavior, food safety, agricultural economics, animal welfare, beekeeping, and sustainability. Affiliation: Ghent University Academic Rank: Professor Research Interests: Verbeke's work explores the intersection of consumer attitudes, food systems, and sustainability. He investigates microbial food safety risk governance, beekeeper technology adoption, genome editing in agriculture, and microalgae-based food products. His studies often combine behavioral economics with agricultural science. Publication Trends: Recent articles (2024) emphasize food safety, beekeeping technology, and genetic resistance in honeybees. Older works (2023-2018) cover seafood risk assessment, cultured meat acceptance, and sustainable consumption patterns. PhD Students: He has supervised numerous PhD candidates, including Fien Minnens (2025) Hélène Van der Stricht (2024) Christine Yung Hung (2018) Silke Jacobs (2017) Collaborations: Frequent co-authors include Jacques Viaene (85 publications), Filiep Vanhonacker (75), Xavier Gellynck (57), and Zuzanna Pieniak (55). Key institutions: Ghent University, Universidade Federal de Santa Catarina, University of Reading.
Lucy Gongtao Chen Dr. Lucy Gongtao Chen is an Associate Professor in the Department of Analytics and Operations at the National University of Singapore (NUS) Business School. She holds a PhD and MSc in Operations Management from Cornell University's Johnson Graduate School of Management, and a Bachelor of Engineering from Tsinghua University. Education PhD in Operations Management, Cornell University (2007) MSc in Operations Management, Cornell University (2006) Bachelor of Engineering, Tsinghua University (2001) Research Interests Her research focuses on inventory management, supply chain strategy, and the intersection of operations with finance and marketing. Specific areas include strategic inventory dynamics, target-oriented decision making, co-opetition in service clusters, and cross-cultural operational biases. Her work emphasizes quantitative modeling of supply chain systems, risk management frameworks, and behavioral operations insights. Publications Trends Recent work explores competitive supply chain dynamics (e.g., strategic inventory effects, channel competition), target-driven decision frameworks, and co-opetition mechanisms in service environments. Earlier publications pioneered scheduled ordering policies for decentralized networks and cultural differences in inventory decision making. Awards Honorable Mention, M&SOM Student Paper Competition Grants & Advising No explicit grants or advisees listed in available data. Research funding includes NTU's Start-Up Grant (Q. Tang co-author). Labs/Teams No specific lab affiliations mentioned; research conducted through NUS Business School's Analytics & Operations department.
Dr. Syed Hassan Shah is a distinguished adjunct faculty member at California State University, Fullerton's Department of Computer Science, where he teaches graduate-level courses. Concurrently, he serves as a Wi-Fi connectivity subject matter expert and Product Director for Short Range Technologies at Quectel Inc., and previously held roles as Product Manager for Mobile & Compute Connectivity at Qualcomm Inc., focusing on Mi-Fi, CPE, and UWB technologies. Ph.D. in Computer Science & Engineering, Kyungpook National University, South Korea (2013-2017) BS in Computer Science, Kohat University of Science & Technology, Pakistan (2007-2012) Dr. Shah's research spans interdisciplinary domains in Wireless Communications , Cyber-Physical Systems , and Smart Cities , with significant contributions to Vehicular Networks , Internet of Things , and Future Internet Architectures . His recent publications demonstrate expertise in Neural Networks , Optimization Theory , and Security & Privacy applications. Scientific recognition includes: Qualcomm Innovation Award (2016) IEEE Senior Member (2018) ACM Distinguished Speaker (2018) Best Research Contribution Award (Brain Korea, 2016) Multiple travel grants from ACM and IEEE KNU Honors Scholarship (2013) Dr. Shah actively contributes to academic governance as: Editorial Board Member for 60+ special issues in top-ranked journals TPC Member for 100+ international conferences including IEEE Globecom and ACM MobiHoc IEEE Vehicular Technology Society Board appointee (2018-2019)
Prof. Dr. Ufuk Cebeci is a faculty member at Istanbul Technical University , affiliated with the Department of Industrial Engineering . His academic career spans over three decades, with roles progressing from Lecturer (1994) to Professor (since 2020). Fields of Study: Quality Management, Manufacturing Systems Management, Artificial Intelligence Key Research Areas: Decision Support Systems, Lean Manufacturing, ERP Systems, Fuzzy Logic, Customer Relationship Management Research Trends show consistent focus on applying computational intelligence to industrial challenges, particularly through fuzzy logic and hybrid methodologies. His work addresses strategic management, process optimization, and digital transformation across sectors like textiles, construction, and banking. Awards: Most Cited Paper Award (Elsevier, 2017), Awards for Excellence (Emerald Group, 2015) Advising includes supervising 30+ theses in areas like lean manufacturing maturity analysis, ERP satisfaction studies, and AI-driven supply chain solutions. His grants involve projects on carbon footprint tracking software, production scheduling optimization, and IoT-integrated energy management systems.
Anton Behrens is a Lecturer and Researcher at the German Sport University Cologne (Institute of Sport Economics and Sport Management, Section Sports Business Administration) and a Lecturer at the University of Applied Management, Berlin . His work focuses on international consumer behavior, globalization in sports, and brand positioning in team sports. Education: PhD Student in Sport Management at German Sport University Cologne (since 2016) Master of Arts in Sport Management, University of Applied Management, Erding (2014–2016) Bachelor of Arts in Sport Management, Ostfalia University of Applied Sciences, Salzgitter (2011–2014) Research Interests: International consumer behavior in sports Globalization strategies for sports organizations Brand positioning of foreign sports teams in Germany and China Impact of stadium atmosphere on media consumption Segmentation of satellite sports fans Publications: His research has been published in journals like Journal of Sport Management and European Sport Management Quarterly , covering topics such as cross-cultural branding, fan engagement, and media dynamics. He has also presented at conferences like the EASM Conference 2018 . Projects: He contributed to the Konzeptphase EXIST project, focusing on sports science startups.
David Brauer is a DBA holder affiliated with West Virginia University (WVU) as Director of the WVU Sales Institute and Head Coach of the WVU Sales Team. He combines academic leadership with practical business innovation through his startup Priority Bridge LLC, which provides bias-free hiring assessments across four countries. Doctorate in Business Administration from Durham University Business School (UK) Focus on consumer choice, sustainability strategy, and values-led business models Global consulting experience across education, healthcare, insurance, and financial sectors His research emphasizes consumer behavior theory and sustainability strategy , with recent publications analyzing sales ecosystems, Gen Z employment trends, and cultural fit assessments. He originated the concept of a "Value Based Revolution" that has been disseminated through national symposiums. Key contributions include creating implementation plans for educational institutions, developing sustainable programs for Haitian healthcare, and pioneering business development frameworks. His work appears in journals such as the Journal of Management for Global Sustainability and The Journal of Values-Based Leadership .
Mª Belén Derqui Zaragoza is a Full Professor at the IQS School of Management, where she leads the Department of Business Management and serves in the Dean's Office. With a PhD in Business Administration and Management from Universitat Politècnica de Catalunya – Barcelona Tech (2017), she has held leadership roles including Vice Dean of International Relations (2024–) and Vice Dean of Strategic Academic Planning (2023–2024). Her academic career spans teaching and research at the University of Barcelona (2011–2018) and EU Business School (2014–18). Education PhD in Business Administration (UPC, 2017) General Management Program (PDG, IESE, 2011–12) MBA in Management and International Trade (ESADE, 1986–88) Bachelor's in Economics (University of Valencia, 1986) Her research focuses on sustainability, marketing, innovation, and food waste, with notable contributions to neuromarketing and digitalization. She explores AI-driven sustainability in hospitality, surplus food purchasing behavior across cultures, and luxury hospitality strategy. Projects like MAGIC3RF and NEUROSOLV highlight her work in green materials and Catalan business ecosystem support. As coordinator of the Master in International Marketing in a Digital Environment and contributor to the joint PhD program in Business Competitiveness and Sustainability (CETIS), she bridges academia and industry. Her CONHATIVE research group, recognized by AGAUR (2021), drives consumer behavior studies with practical business applications. Scientific Awards Merit recognition for CONHATIVE research group (2021) She leads interdisciplinary projects funded by AGAUR, including studies on neuromarketing, digitalization impacts, and sustainable consumption. Her work spans collaborations with institutions like Deusto Business School and Universidad Pontificia Comillas (ICADE).
Nachiketa Sahoo is an Associate Professor in the Information Systems Department at Boston University's Questrom School of Business, where he has been faculty since 2011. His research sits at the intersection of Machine Learning and Information Systems, with particular focus on personalized recommender systems and user preference modeling. Research Focus: Dr. Sahoo's work centers on learning user preferences and decision-making processes from large disaggregate datasets. His primary projects include: Personalization and Matching: Developing systems to match items to users while examining stability and fairness implications Retail Analytics: Analyzing customer activity data to reduce product expiration through salesforce incentive alignment Data-driven Healthcare: Estimating value of genomic tests and physician decision modeling Content Recommendation: Studying multi-category utility models for diversified content consumption His recent publications demonstrate strong trends toward ethical implications of recommender systems, particularly regarding fairness and market stability, while maintaining technical depth in machine learning applications. Scientific Contributions: Developed novel methods for uncovering population response paths using time-series data Created approaches to match donors with philanthropic causes on crowdfunding platforms Designed salesforce compensation schemes reducing $15B+ in annual product waste Pioneered multi-category utility models for content recommendation Academic Leadership: Dr. Sahoo advises PhD students in Information Systems, with graduates securing tenure-track positions at institutions like University of Minnesota and University of South Florida. His teaching portfolio includes advanced machine learning courses and doctoral seminars on ML methods for social science research. He previously served as a Visiting Assistant Professor at Carnegie Mellon's Tepper School of Business. Education: He holds a PhD in Information Systems from Carnegie Mellon University's Heinz College, an MS in Knowledge Discovery and Data Mining from CMU's Machine Learning Department, and a B.Tech in Industrial Engineering from IIT Kharagpur. His industry experience includes software engineering at i2 Technologies (now JDA Software).
Mª Belén Derqui Zaragoza is an Associate Professor at IQS School of Management , affiliated with the Department of Business Management . She holds a Ph.D. in Business Administration from UPC-Barcelona Tech (2017), an MBA from ESADE (1988), and a Bachelor’s in Economic and Business Sciences from the University of Valencia (1986). Ph.D. in Business Administration and Management, UPC-Barcelona Tech (2017) MBA in Management and International Trade, ESADE (1988) Bachelor’s Degree in Economic and Business Sciences, University of Valencia (1986) Her research focuses on Sustainability , Marketing and Innovation , and Food Waste , with a particular emphasis on consumer behavior and neuromarketing applications. She leads the CONHATIVE research group, which explores consumer behavior dynamics, and has been recognized as a consolidated research group by AGAUR in 2021. Recent publications highlight her work on AI-driven sustainability in hospitality, surplus food purchasing behaviors across cultures, and sustainable consumption patterns in plant-based diets and low-alcoholic beverages. She also contributes to projects like EcoHarmony , MAGIC3RF , and NEUROSOLV , focused on environmental innovation and neuromarketing solutions. She has coordinated programs such as the Master in International Marketing in a Digital Environment and held leadership roles including Vice Dean of International Relations (2024–) and Vice Dean of Strategic Academic Planning (2023–2024).
Weizhao Zhao is a Professor in the Department of Biomedical Engineering within the College of Engineering at the University of Miami. His research focuses on advanced medical imaging techniques and cerebrovascular disease mechanisms, with particular emphasis on stroke pathophysiology and traumatic brain injury. His primary research interests include: Biomedical imaging analysis techniques for cerebrovascular diseases Mechanisms of white matter hyperintensity development in small vessel disease Sex-dependent differences in stroke outcomes and therapies Advanced MRI methodologies for traumatic brain injury assessment Development of deep learning tools for oncological imaging biomarkers Analysis of recent publications (2022-2024) reveals strong thematic focus on cerebrovascular pathology, with significant contributions to understanding pulse-wave velocity correlations with cerebral small vessel disease, sex-specific responses to electronic cigarette exposure in stroke models, and innovative microparticle-based therapies for intracerebral hemorrhage. His work frequently employs multimodal MRI techniques and translational rodent models. Dr. Zhao actively collaborates with neurology and neuroscience researchers across multiple institutions, particularly on the Northern Manhattan Study cohort. His publication record demonstrates consistent contributions to high-impact journals in neurology, stroke research, and biomedical engineering.
Sergey Alexandrovskiy is Associate Professor at the National Research University Higher School of Economics (HSE University) and has served since 2020 as Director of the HSE Business School in Nizhny Novgorod. He has been a continuous member of HSE’s academic staff since 2007, previously heading the Master’s Programme in Marketing (2015–2020) and holding ranks from Senior Lecturer to Associate Professor. Education 2011 – Candidate of Sciences (PhD equivalent) in Economics and National Economy Management, Nizhny Novgorod State University of Architecture and Engineering 2006 – Specialist degree, HSE University Research Interests His research agenda centres on data-driven management , marketing analytics , and strategic alliances within innovation ecosystems. He investigates how firms leverage data for marketing decisions, how entrepreneurial ecosystems evolve in transforming economies, and how imitation strategies shape startup performance. Scientific Awards Best Teacher Award – 2018–2021, 2016 HSE Young Faculty Support Programme – “Future Professoriate” (2012) HSE Young Faculty Support Programme – “New Lecturers” (2009–2010) Grants & Advising He has led or co-led competitive research grants from HSE, including a 2014 faculty grant on “Research of imitation practices in Russian companies” and a 2013 HSE research group grant on “Contemporary marketing practices in Russia”. He supervises numerous master’s theses and term papers in management and marketing analytics. Labs & Teams While no dedicated lab is named, his ongoing leadership of the Business School and master’s programmes implies active engagement with research teams in marketing analytics and data-driven management at the Nizhny Novgorod campus.
Professor Jun Liu is a Professor of Artificial Intelligence and Director of the Artificial Intelligence Research Centre (AIRC) at the School of Computing, Ulster University. With over 270 publications and more than £18 million in research funding, he is a leading figure in artificial intelligence, particularly in trust and explainable AI systems and logic-based reasoning methods. Dr. Liu received his BSc and MSc degrees in Applied Mathematics, and PhD degree in Information Engineering from Southwest Jiaotong University, Chengdu, China, in 1993, 1996, and 1999, respectively. Prior to joining Ulster University, he held postdoctoral positions at The University of Manchester, UK (Feb. 2002 - Dec. 2004) and the Belgian Nuclear Research Centre (SCK*CEN) (Mar. 2000 - Feb. 2002). Professor Liu's research focuses on trust and explainable data-knowledge integrated AI decision models with applications in safety and risk analysis, policy decision making, security/disaster management, and healthcare; and logic and automated reasoning methods for intelligent systems, including resolution-based automated reasoning and lattice-valued logics for handling incomparability, inconsistency, and imprecision. His work spans theoretical foundations to practical applications in smart homes, healthcare, and industrial settings. His recent publications demonstrate a strong trend toward developing more trustworthy and explainable AI systems, with particular emphasis on belief rule-based approaches for handling uncertainty in decision-making. The research spans multiple domains including smart home activity recognition, medical imaging, food quality analysis, and environmental monitoring, showing the versatility and applicability of his methodologies. Ulster University best computer science paper award for 2016 IEEE Senior Member including IEEESMC and IEEECI Fellow of the UK Higher Education Academy Associate Editor of IEEE Transaction on Fuzzy Systems Current Chair of IEEE CIS Emergent Technologies Technical Committee As Director of the Artificial Intelligence Research Centre, Professor Liu has secured significant research funding as principal investigator and co-investigator. His current projects include "The use of Agentic AI in judicial decision-making" funded by EPSRC and "Adaptive Modeling Method for Deep Belief Rule Base" for smart home applications. He serves on editorial boards of multiple high-impact journals and organizes international conferences including the 23rd UK Workshop on Computational Intelligence. The Artificial Intelligence Research Centre under Professor Liu's leadership focuses on developing cutting-edge AI methodologies with practical applications. The center collaborates extensively with industry partners including BT through the BTIIC Phase 2 initiative and PwC through their Advanced Engineering and Research Centre, ensuring research has real-world impact across multiple sectors.
Robert Swinney serves as Professor of Operations Management and Senior Associate Dean for Programs at Duke University's Fuqua School of Business, where he leads academic initiatives while maintaining an active research profile in operations strategy and supply chain management. His research spans critical operations domains with particular emphasis on: Supply chain resilience against disruptions and shortages Strategic consumer behavior in pricing and platform markets Sustainability integration in global supply networks Operational dynamics of digital platforms and crowdfunding Healthcare operations and pharmaceutical supply chains Analysis of his 2016-2024 publications reveals evolving focus from foundational work on strategic consumers and inventory management toward contemporary challenges like platform economics, sustainable operations, and healthcare supply chains. His methodology consistently integrates game theory and operations research to model complex business scenarios, with increasing attention to social responsibility and systemic risk mitigation in multi-tier networks. No scientific awards are documented in the provided information. Administrative leadership as Senior Associate Dean for Programs constitutes his primary service role, though specific grant funding or student advising details remain unreported in the source material.
Professor Niels Fold is a distinguished academic at the University of Copenhagen's Department of Geosciences and Natural Resource Management within the Faculty of Science. He has served as a Professor since 2015, following previous roles as Professor (MSO) from 2006-2015 and Associate Professor from 1997-2006. His extensive career includes significant research management experience, coordination of multi-country programs, and cross-disciplinary project leadership across numerous international collaborations. Dr. Fold earned his PhD in Economic Geography from the University of Copenhagen in 1993, following a Master of Science in Geography (1984), Bachelor of Arts in Economics (1982), and Bachelor of Science in Geography (1979), all from the same institution. His academic journey reflects a consistent focus on the intersection of geography, economics, and development studies. His research addresses the relationship between economic-geographic globalization processes and local responses, primarily examined through the analytical lens of global value chains (GVCs). He specializes in agro-industrial value chains connecting producers in the Global South with consumers in the Global North. His approach combines structural GVC analysis with livelihood studies to understand rural development and agrarian transformation. His work extends to mineral-based GVCs, focusing on small-scale mining in Africa and increasingly on large-scale mining and value chain segments in Europe. His regional expertise spans Africa (Ghana, Tanzania), Southeast Asia (Malaysia, Vietnam), and more recently Greenland. His recent publications demonstrate a continued focus on GVCs, rural development, and socio-ecological systems across multiple continents. The research spans Africa (particularly Tanzania, South Africa, and Colombia), Southeast Asia (Vietnam, Malaysia), and Greenland, with increasing attention to sustainability issues, ecological infrastructure, and the intersection of tourism with natural resource exploitation. His work shows methodological sophistication in linking macro-level global processes with micro-level local impacts. Member of Editorial Board, Journal of Agrarian Change (2012-present) Member of Editorial Board, Danish Journal of Geography (2004-present) Director, Centre for Sustainable Artisanal Small-Scale Mining, Geocenter Denmark (2009-present) Coordinator, Danish University Consortium for capacity development at Sokoine University of Agriculture, Tanzania (2014-present) Task leader in European-African partnership for Food and Nutrition Security and Sustainable Agriculture (2018-2022) Professor Fold has supervised approximately 40 Bachelor's theses and 70 Master's theses, in addition to numerous PhD students whose research spans multiple continents and addresses critical development issues. His research has been supported by major funding bodies including the European Commission, Council for Development Research, Geocenter Denmark, and the Carlsberg Foundation, with total funding exceeding millions of Danish kroner and Euros across numerous projects. His field work spans multiple continents with extensive experience in Africa (Ghana, Mali, Burkina Faso, Tanzania, Rwanda, South Africa, Zimbabwe, Zambia), Asia (Vietnam, Malaysia, Nepal), and Latin America (Colombia). He currently leads research projects in South Africa (Socio-economic benefits of ecological infrastructure), Colombia (Aquaponics and livelihoods), Tanzania (Contract farming), and Greenland (the nexus between tourism and exploitation of natural resources), demonstrating his continued active engagement in cutting-edge research across diverse geographical contexts.
Fabio Gaertner serves as the Cynthia and Jay Ihlenfeld Professor for Inspired Learning in Business at the University of Wisconsin-Madison's Wisconsin School of Business, where he holds a faculty position in the Department of Accounting and Information Systems. His academic career spans institutions including Nanyang Technological University in Singapore, and his research critically examines the intersection of tax policy, corporate decision-making, and financial systems. Education: Ph.D. in Accounting, University of Arizona MAcc in Accounting, Brigham Young University BS in Accounting, Brigham Young University Gaertner's research program investigates how tax legislation shapes corporate behavior, with particular emphasis on executive responses to tax reform, international taxation dynamics, and the financial reporting implications of tax policy. His work bridges theoretical accounting frameworks with real-world market reactions, exploring how entities navigate complex tax environments while balancing compliance, strategic advantage, and stakeholder expectations. This research has positioned him as a leading voice on contemporary tax policy impacts. Analysis of his recent publications reveals a concentrated focus on the Tax Cuts and Jobs Act (TCJA) of 2017 and its multifaceted consequences, including effects on capital structure, pension funding, international earnings repatriation, and executive compensation. His methodology frequently combines large-scale empirical analysis with behavioral insights, demonstrating how tax policy shifts propagate through corporate decision chains and ultimately influence market valuations and economic indicators. Scientific Awards: 2023 Distinguished Teaching Award from Wisconsin School of Business Poets & Quants' Best 40 Under 40 MBA Professor (2020) Professor Gaertner maintains an active teaching portfolio focused on accounting principles and tax systems, recognized through major teaching honors. While specific grant details aren't published in available materials, his research collaborations with institutions like the Hawk Center for Investment Analysis demonstrate engagement with practical business applications. His leadership extends to curriculum development for inspired business learning, aligning with his endowed professorship mission. No dedicated research labs or specialized teams are explicitly mentioned in his public profile, though his work frequently involves cross-disciplinary collaboration with finance and economics scholars through Wisconsin School of Business centers including the Nicholas Center for Corporate Finance & Investment Banking.
