Ruhai Wu is a tenured Associate Professor of Marketing at McMaster University's DeGroote School of Business. He holds a B.Sc. and M.Sc. in Finance from Tsinghua University, and an M.A. and Ph.D. in Economics from the University of Texas at Austin. His research focuses on retail and industrial marketing strategies, including pricing, advertising, channel relationships, and platform management in digital ecosystems. He has been awarded grants from SSHRC and NSERC for projects analyzing sharing economies, mobile marketing, and social commerce. Dr. Wu's teaching portfolio includes courses on Digital Marketing, Marketing Management, and Marketing Research Methodology at both undergraduate and graduate levels. He actively supervises doctoral students and has published in top-tier journals such as the Journal of Retailing , Journal of Business Research , and Electronic Markets . His research explores platform governance, network effects, and online consumer behavior using game-theoretical models. Recent work examines live-stream shopping trends, cross-platform competition, and seller review manipulation. Dr. Wu has contributed to scholarly discussions on emerging digital marketing strategies and their societal impacts through media features and industry collaborations.
Associate Professor Lucy Chen is a faculty member at the NUS Business School , National University of Singapore, specializing in the Department of Analytics & Operations. With over 15 years at NUS, she bridges operations management and business analytics in her teaching and research. PhD and MSc in Operations Management from Cornell University Her research explores inventory management , supply chain dynamics , and the intersection of operations-marketing . Recent work investigates corporate behavior around quarterly targets, including publications like Supply Chain Performance with Target-Oriented Firms . She employs immersive teaching methods such as supply chain simulations and role-playing games to engage students. Lucy's Google Scholar profile reveals 15 years of contributions spanning: Strategic inventory optimization Behavioral aspects of supply chain decision-making Co-opetition models in service clusters Impact of financial turbulence on operations Cultural influences on inventory behavior Architectural innovations in balanced ordering systems In 2022, her research on target-oriented firms demonstrated how operational adjustments benefit trading partners more than focal companies. She actively mentors students in operations/supply chain management , emphasizing skill transferability to sectors like banking analytics and logistics consulting.
Mathieu Arnoux is a University Professor and Director of Studies at the École des Hautes Études en Sciences Sociales (EHESS), affiliated with University Paris Diderot. He is attached to the Centre for Economic and Social History François Simiand (CRH) and works within the GrHEco research team. His professional contact is based at the EHESS-CRH center located at 48, boulevard Jourdan, 75014 Paris. Arnoux specializes in Medieval European History with a focus on economic history, particularly examining European economy from the 10th to 16th centuries. His research interests encompass work and techniques in medieval societies, Normandy, and the broader Anglo-Norman world. He is particularly known for his studies on resource management, economic growth, and social organization during the medieval period. His research output demonstrates a consistent focus on medieval economic structures, with particular attention to the relationship between resource availability, agricultural production, and societal development. Arnoux's work bridges historical analysis with contemporary questions about sustainability and economic development, as evidenced by his 2023 publication 'A world without resources. Need and society in Europe (11th-14th centuries)' and his 2019 article 'Renewable Resources and Economic Growth: Medieval Suggestions and Contemporary Questions'. Arnoux is actively engaged in academic life, teaching courses on natural resources including 'renewal, depletion and crisis' for the 2024-2025 academic year. He participates in multiple research groups including GRHECO and LIED (Intradisciplinary Laboratory for the Energies of Tomorrow at Paris 7-Diderot University).
Hailiang Chen serves as Professor in Innovation and Information Management, Assistant Dean (Taught Postgraduate), and Director of the Artificial Intelligence Research Institute at HKU Business School, The University of Hong Kong. His academic journey includes a PhD and MS from Purdue University and a BM from Tsinghua University. Doctoral Degree: Management Information Systems, Purdue University Master Degree: Economics, Purdue University Bachelor Degree: Information Management and Information Systems, Tsinghua University Professor Chen's research spans artificial intelligence, FinTech, social media analytics, and platform economics, with significant contributions to understanding how digital interactions shape financial markets and consumer behavior. His work frequently examines the intersection of technology adoption and economic outcomes, particularly in cryptocurrency markets, live-stream commerce, and venture capital decision-making. His research methodology combines large-scale data analysis with experimental designs to uncover causal relationships in digital ecosystems. His publications in elite journals like Journal of Financial Economics and Management Science demonstrate consistent impact, with multiple ESI Highly Cited Papers. Current projects include Gov-RAG for e-government services and comparative studies of AI search tools. His research has received continuous funding from Hong Kong's Research Grants Council for five consecutive years (2019-2023). Faculty Outstanding Researcher Award, HKU Business School (2022-23) INFORMS ISS Sandra A. Slaughter Early Career Award (2022) Association for Information Systems Early Career Award (2019) Three ESI Highly Cited Papers (Top 1% in field) Professor Chen actively contributes to academic service as Associate Editor for Journal of Management Information Systems and MIS Quarterly , and serves as Program Chair for the International Conference on Smart Finance. His industry collaborations include Alibaba, HSBC, and China Construction Bank, bridging academic research with real-world business applications in AI implementation and digital transformation.
Xiaolei Guo is a Professor of Management Science at the Odette School of Business, University of Windsor. His expertise spans transportation systems, supply chain optimization, and infrastructure pricing strategies. He holds a Ph.D. in Transportation from the Hong Kong University of Science and Technology (2008) and a B.A. in Hydraulic Engineering from Tsinghua University (2004). His research focuses on congestion pricing mechanisms, transportation network modeling, and toll road economics. Notable areas include optimizing toll designs under uncertainty, analyzing autonomous vehicle impacts on ridesharing, and evaluating strategic distribution channel decisions under environmental regulations. Dr. Guo has contributed to over 30 peer-reviewed articles since 2005, exploring topics such as Braess paradox under bounded rationality, Pareto-improving congestion schemes, and profit maximization for private toll roads. His work bridges theoretical optimization with practical policy applications. He is an active member of the Canadian Transportation Research Forum (CTRF) since 2011 and the Institute for Operations Research and the Management Sciences (INFORMS) since 2009.
David Caron is the Captain Allan Hancock Chair in Marine Science and Professor of Biological Sciences at the University of Southern California (USC), affiliated with the USC Dornsife College of Letters, Arts and Sciences. He co-founded the Center for Integrated Networked Aquatic Platforms (CINAPS) and is part of the Wrigley Institute for Environmental Studies. His research focuses on marine and freshwater microbial ecology, particularly protist trophic relationships and harmful algal blooms. Caron holds a Ph.D. from the MIT-Woods Hole Oceanographic Institution Joint Program in Biological Oceanography (1984), an M.S. (1977) and B.S. (1975) in Oceanography and Microbiology from the University of Rhode Island. Research Interests: His work spans protistan ecology, mixotrophic microalgae physiology, Antarctic protist adaptations, and molecular approaches to microbial ecology. He investigates harmful algal bloom dynamics, protist grazing impacts, and the role of environmental drivers in planktonic communities. His studies often integrate field observations, experimental work, and advanced technologies like robotic sampling platforms. Key Achievements: Caron has authored over 100 peer-reviewed publications and pioneered methods in protistan diversity assessment. He received the AAAS Fellowship (2011), American Academy of Microbiology Fellowship (2007), and the USC Raubenheimer Outstanding Senior Faculty Award (2010–2011). He served as President of the International Society of Protistologists (2004–2005). Grants & Labs: He leads CINAPS, which uses autonomous systems to monitor coastal ecosystems. His lab studies microbial communities in the Southern California Bight, focusing on harmful algal toxins (e.g., domoic acid) and their ecological impacts. Collaborations with engineers and roboticists enhance data collection and environmental modeling efforts.
Valerie Good serves as an Assistant Professor in the Department of Marketing and Transportation at the Walton College of Business, University of Arkansas, where she contributes to academic research and teaching in marketing disciplines. Her research spans critical domains including: Sales Management : Investigating salesperson well-being, motivation, and digital transformation impacts Retail Marketing : Analyzing online retail formats and product sales dynamics B2B Marketing : Exploring brand leverage and end-user engagement strategies Corporate Social Responsibility : Examining CSR's role during economic recessions Analysis of her 15 recent publications (2021-2025) reveals three dominant trajectories: (1) Human elements in sales processes, including resilience, loneliness, and purpose-driven motivation; (2) Digital transformation effects on retail formats, lead quality, and sales arrangements; (3) Strategic applications of corporate social responsibility during economic volatility. Her work consistently bridges theoretical rigor with practical sales and marketing applications, demonstrating increasing focus on psychological factors within commercial contexts.
He Zhu is an Assistant Professor at Rutgers, The State University of New Jersey, affiliated with the Department of Computer Science. His research focuses on programming languages, compilers, wireless communications, IoT systems, and 5G network protocols. He received the PLDI 2019 Distinguished Paper Award for his contributions to formal methods in programming systems. His work addresses challenges in vehicle-to-everything (V2X) communication, resource allocation in sidelink networks, network security, and dynamic authorization frameworks for IoT devices. Key research interests include optimizing 5G NR (New Radio) protocols for vehicular environments, developing efficient data aggregation techniques for user equipment, and enhancing service layer mechanisms for IoT systems. He leads projects funded by the NSF, such as 'Formal Symbolic Reasoning of Deep Reinforcement Learning Systems,' and has contributed to advancements in beam management, RACH protocols, and energy-efficient DRX configurations in wireless networks. His office is located in Core 315. Notable Awards: PLDI 2019 Distinguished Paper Award Grants: NSF Grant: Formal Symbolic Reasoning of Deep Reinforcement Learning Systems His research group explores intersections between compiler design, distributed systems, and network architecture, with applications in smart mobility, edge computing, and secure IoT communication. He actively contributes to standards development for 5G and future generations of wireless networks.
Saibal Ray is a James McGill Professor of Operations Management and Vice-Dean, Faculty at the Desautels Faculty of Management, McGill University. He holds the Desautels Business Leadership Chair and has served in multiple academic leadership roles, including Vice-Dean, Research and Academic Director of the Bensadoun School of Retail Management. His expertise spans supply chain management, risk management, and retail operations, with a focus on agri-food and natural resources sectors. He has published extensively in top journals like Management Science and Operations Research, and holds editorial roles at journals such as Production and Operations Management. Ray earned a PhD from the University of Waterloo, an MEng from the Asian Institute of Technology, and a BEng from Jadavpur University. His research bridges operations and marketing, addressing challenges like supply chain risk, pricing strategies, and sustainability. He has secured major grants from NSERC, SSHRC, and Quebec agencies, and received awards including the Desautels Faculty Scholar and Quebec Teaching Excellence Award. His teaching focuses on operations and supply chain management at the MBA and graduate levels. Ray’s work integrates academic leadership with practical impact, advising on initiatives like the McGill Center for the Convergence of Health and Economics. His recent research explores behavioral retail tactics, health-conscious bundling, and supply chain resilience in dynamic markets.
Nicolas Binder is a Professor and Head of the Turbomachinery and Propulsion Research Group at ISAE-SUPAERO . His research focuses on turbomachinery aerodynamics, unsteady flow analysis, and innovative propulsion systems for aerospace applications. Member of EuroTurbo executive committee ASME Member Associate Editor, Journal of Turbomachinery Research expertise in off-design operations and windmilling flows Research Interests : Aerodynamics of turbomachinery in severe off-design conditions Unsteady flow dynamics in turbines Innovative propulsion methods including magneto-hydrodynamics Flow analysis techniques for compressors and fans Recent publications (2024-2021) emphasize transient flow modeling in turbines, windmilling operation optimization, and variable geometry turbine performance. Articles span experimental validation of numerical models, shock wave interactions, and novel propulsion concepts like plasma-thrusters for drones.
Professor Daniel Chicksand is a faculty member in the Department of Management at Birmingham Business School, University of Birmingham , where he holds the rank of Professor of Operations and Supply Management . He also serves as the Director of the Distance Learning MBA programme. Daniel has held academic positions at Warwick Business School and Aston Business School prior to joining Birmingham in 2016 as a Reader, being promoted to full Professor in 2021. Education: PhD in Commerce, University of Birmingham (2009) MBA in Business Strategy & Procurement, University of Birmingham (2003) MSc in Industrial Logistics, University of Central England (1996) BSc in Industrial Information Technology (2:1 hons), University of Central England (1995) Postgraduate Certificate in Academic and Professional Practice, University of Warwick (2011–2013) Daniel’s research is centered on Operations and Supply Chain Management , with a strong theoretical foundation in Resource Dependency Theory (RDT) . His work explores power dynamics , value appropriation , and relationship management in buyer-supplier interactions across sectors such as food, construction, and sustainable supply chains. He has a growing interest in servitization and its impact on value creation. His methodological approach is primarily qualitative, using case-based research. The recent publications reflect a consistent focus on power and negotiation in procurement , resilience and disruption in supply chains (including simulation modeling), and sustainability reporting . His research spans both private and public sectors and often involves international collaboration with institutions in the UK, Europe, and the US. Scientific Engagement and Awards: Visiting Lecturer at Audencia Nantes School of Management (France) Visiting Lecturer at Ecole des Ponts ParisTech and Solvay Business School (France/Belgium) Educator for Duke Corporate Education Collaborator with leading researchers from Aston, Cardiff, Cranfield, Loughborough, Linkoping, and Fox Business School Daniel supervises multiple doctoral students and is involved in pilot research projects funded by the British Academy and the Chartered Institute of Logistics and Supply. He also leads two consultancy firms— DDC Solutions Ltd and Opsworks Ltd —delivering bespoke training and education programmes to corporate clients like UBS, KPMG, and Adams Foods. His prior experience as a business owner in African arts and crafts importation provides practical insights into supply chain and operations management, enriching his teaching and research. Laboratories and Research Teams: Member of the Aston Centre for Seritization Research and Practice (2015–present) Collaborative research network across UK, European, and US universities Lead on projects involving discrete-event simulation and gamification in SCM
Cathy Lee Crane is a Professor at the Roy H. Park School of Communications within Ithaca College , specializing in directing actors for film. Since 1994, her work has redefined speculative history through lyrical, archival-based filmmaking. She received the prestigious Guggenheim Fellowship (2013) and has been honored with multiple awards, including Best Feature Documentary at the Syracuse International Film Festival (2020). Key Projects: Crossing Columbus (2020), terrestrial sea (2022), and the (X)-trACTION collective Residencies: Harun Farocki Institute (2022), Rockefeller Foundation Bellagio Center Her cross-platform border work challenges traditional storytelling, while her 16mm short films distributed by Canyon Cinema and Light Cone continue to shape experimental cinema. As SFIndie Fest 2018’s The Manhattan Front was declared a 'masterpiece' by Noel Burch, Crane remains a pivotal figure in queer and experimental film discourse. Scientific Awards: Guggenheim Fellowship (2013) New York Foundation for the Arts Fellowship Best Feature Documentary (Syracuse International Film Festival, 2020) Jury Citation (Festival de Cinema da Fronteira, 2022)
Dr Zhiyuan (Thomas) Tan is an Associate Professor at Edinburgh Napier University’s School of Computing, Engineering and the Built Environment . He is internationally recognised for his cybersecurity research and has been listed among Stanford University’s Top 2% Scientists for 2021–2023. Education BEng (2005) with high distinction – North-eastern University, China MEng (2008) – Beijing University of Technology, China PhD in Computer Systems (2014) – University of Technology Sydney, Australia Research Interests Dr Tan’s research integrates cybersecurity with machine learning and data analytics. His core areas include: Intrusion detection and defence of critical service systems Adversarial machine learning for malware and anomaly detection Virtualisation security through non-parametric behaviour modelling IoT and vehicular network security—cloud/edge/cloudlet frameworks Privacy-preserving AI and federated machine unlearning Smart-city digital forensics and cyber-physical system resilience Research Output Trends His recent articles (2020–2025) reveal a strong focus on federated learning, edge & mobile computing, UAV coordination, and AI-driven security. Topics span advanced steganography, metamorphic malware, graph injection attacks, and trustworthiness in vehicular platoons, all anchored in real-world IoT and transportation applications. Awards & Distinctions Stanford University Top 2% Scientists List (2021, 2022, 2023) National Research Award 2017 – Research Council of the Sultanate of Oman Best Paper Awards (three instances) Kaspersky Lab Student Cyber Security Conference – Finalist Award SICSA Supervisor of the Year 2019 – Honourable Mention Grants & Leadership Dr Tan has attracted over £200k in external funding including: Carnegie Trust (£73,564) – Federated Machine Unlearning ENU Development Trust (£29,998) – Machine Unlearning Royal Society (£12,000) – VANET Security & Privacy SICSA & other awards for MemoryCrypt, AI Secrets, behaviour biometrics, and visiting-fellow schemes. Supervision & Mentoring Since 2013 he has supervised or co-supervised 16 doctoral candidates and several master’s students; six PhDs have successfully graduated. Roles range from Director of Studies to additional supervisor across diverse topics from malware evolution to VR olfactory interfaces. Research Groups & Collaboration He is affiliated with the Centre for Artificial Intelligence and Robotics , the Centre for Distributed Computing, Networking and Security , and the Centre for Cybersecurity, IoT and Cyber-physical Systems at ENU, fostering interdisciplinary collaboration with national and international partners.
Roles and Affiliations: Daniel Ellström is an Associate Professor at Linköping University's Department of Management and Engineering (IEI) and a member of the Industrial Management (INDEK) division. He serves as Director of Studies and Degree Project Coordinator at INDEK, and participates in IL-nämndens programplanegrupp (PPG-IL). His academic email is daniel.ellstrom@liu.se . Education: No specific educational details provided in the text. Research Interests: Ellström's research focuses on market strategies, sustainable business practices, and digital transformation. He applies frameworks such as the resource-based view, resource dependence theory, and dynamic capabilities to analyze firm capabilities in areas like customer support, SME growth, and environmental sustainability. His work emphasizes how firms leverage capabilities to navigate challenges such as digital transformation and sustainable offering development. Research Contributions: His publications span topics including green marketing typologies, startup equity strategies, and synergies in sustainable food systems. Recent work highlights digital transformation dynamics and SME financing mechanisms. Grants and Labs: Affiliated with the Centre for Business Model Innovation (CBMI), which explores adaptive business models in societal changes. Collaborates with industry partners to ensure research relevance. Teaching: Responsible for courses like TEIM32 and TEIM11 in industrial marketing. Engages in educational innovation to align with industry needs.
Thomas E. DeCarlo , Ph.D., is the Ben S. Weil Endowed Chair of Industrial Distribution and Professor of Marketing and Industrial Distribution at the University of Alabama at Birmingham since 2009. He previously served at Iowa State University (1993-2006) and earned his Ph.D. in Business from the University of Georgia (1993) and BA in Accounting from North Carolina State University (1982). Research focus on strategic sales management , customer relationship management , and marketing communications Key methodologies: in-depth interviews , field experiments , and multivariable regression analysis Research Trends : His 15 most recent publications (2015-2025) examine: Salesperson ambidexterity and stress dynamics Consumer suspicion and persuasion knowledge Digital crowdfunding strategies Internal selling process optimization Service ecosystem theory in B2B contexts Scientific Awards : Recognized for outstanding teaching Multiple business impact awards Professional Activities : Served as Interim Department Chairperson (2014-2015) and ID Faculty Search Chair (2020). Actively reviews for journals like European Journal of Marketing and Industrial Marketing Management .
