جست‌وجوی استاد و پژوهشگر

Stefan Minnerمشاهده پروفایل

استاد

• Logistics
• Supply Chain Management
• Inventory Management
• +۹ مورد دیگر

Prof. Stefan Minner is a Full Professor of Logistics and Supply Chain Management at the TUM School of Management, Technical University of Munich since 2012. His academic career includes professorships at the University of Vienna (2008–2012) and University of Mannheim (2004–2008), with prior roles at the University of Calgary and University of Magdeburg. He holds a Ph.D. (1999) and Habilitation (2003) from Magdeburg, focusing on supply chain optimization and inventory management. Research focuses on data-driven logistics network design, inventory management under uncertainty, and urban logistics. Key areas include blockchain in supply chains, commodity procurement strategies, and automation in retail operations. He serves as Editor-in-Chief for the International Journal of Production Economics and holds leadership roles in logistics societies like the German Logistics Association (BVL) and International Society for Inventory Research (ISIR). His honors include Fellow of ISIR (2016), Wirtschaftswoche Top Researcher (2020), and the M&SOM Practice-based Research Competition (2019). Research output spans 25+ years, with recent work addressing AI in logistics, sustainable supply chains, and pandemic-era ambulance dispatching systems. Teaching includes courses on inventory management, transportation analytics, and sustainable supply chains. His lab's work integrates optimization, simulation, and empirical methods to solve real-world logistics challenges in automotive, retail, and manufacturing sectors.

• Data Analytics
• Signal Processing
• Operations Research
• +۴ مورد دیگر

Dr. Mikhail Nediak is an Associate Professor at the Smith School of Business, Queen's University. He holds a PhD in Operations Research from Rutgers University and dual MSc degrees in Computer Science and Applied Mathematics. His research focuses on complex Management Science and Operations Research problems with computational components, including revenue management, dynamic pricing, and data-driven optimization. He serves as Associate Dean for Research at the Moscow School of Management SKOLKOVO and holds the Scotiabank Scholar title at Queen's. Education: PhD in Operations Research, Rutgers University (2002) MSc in Computer Science, Rutgers University (2002) MSc in Applied Mathematics, Moscow Institute of Physics and Technology (1997) BSc in Natural Sciences, Moscow Institute of Physics and Technology (1997) Research Interests: Dr. Nediak explores data analytics, signal processing, and optimization algorithms applied to revenue management and strategic consumer behavior. His work integrates techniques like integer programming, control theory, and stochastic simulation to address real-world business challenges. Recent studies examine dynamic pricing under social influence, resale price maintenance, and indirect lending risk pricing. Key Contributions: His articles highlight advancements in scalable bid pricing, strategic consumer cooperation, and discriminatory pricing models. These contributions bridge theoretical optimization frameworks with practical business applications. Awards & Positions: Scotiabank Scholar, Scotiabank Centre for Customer Analytics Associate Director of Research, Smith School of Business Advising & Leadership: Currently supervising academic work across doctoral and master's programs, with a focus on mentoring students in Operations Research and Analytics. His leadership in research administration at Queen's and SKOLKOVO reflects his commitment to advancing academic rigor and industry collaboration.

Yolanda Santana Jiménezمشاهده پروفایل

دانشیار

• Financial Econometrics
• Tourism Demand Analysis
• Spatial Economics
• +۳ مورد دیگر

Yolanda Santana Jiménez is an Associate Professor and Deputy Director at the Departamento de Métodos Cuantitativos en Economía y Gestión, Universidad de Las Palmas de Gran Canaria. She specializes in Financial Econometrics and Tourism Demand Analysis, with a focus on spatial economics and quantitative methods. Her research group, Finanzas Cuantitativas y Computacionales, addresses interdisciplinary challenges in economics and tourism through advanced modeling techniques. Current teaching responsibilities include courses such as 'Introducción a la Econometría' and 'Estadística Básica Aplicada al Sector Turístico', reflecting her expertise in statistical analysis for economic and tourism sectors. Her work spans over 15 years, with notable contributions on tourism sustainability, spatial econometric modeling, and policy evaluation in rural and urban contexts. Key research projects include analyzing land use conversion in tourism regions, air pollution impacts on tourism demand, and bibliometric studies on open-access publishing trends. She has presented at international conferences like the International Association for Tourism Economics and co-authored influential papers in journals such as Tourism Management and the Malaysian Journal of Library & Information Science.

Kuno Huismanمشاهده پروفایل

استاد

• Real Options Analysis
• Investment Under Uncertainty
• Game Theory
• +۳ مورد دیگر

Kuno Huisman is a part-time Full Professor of Decision Making under Uncertainty at Tilburg University’s Department of Econometrics and Operations Research (TiSEM). He concurrently serves as Head of Strategy Coordination and former Director/Head of Finance at ASML’s Twinscan Factory. His academic career includes roles as Associate Professor (2014–2016) and Assistant Professor (2008–2014) at Tilburg University. He holds a PhD and master’s in Operations Research from Tilburg University. Research interests focus on real options analysis, investment under uncertainty, game theory, and strategic decision-making. Key projects include studies on capacity investment dynamics, product life cycles, and triopoly market strategies. He has supervised over 16 PhD students across institutions like Tilburg, Antwerp, and Erasmus University. Professional experience spans quantitative consulting at CQM (2000–2010) and decision support leadership at ASML (2012–2022). External roles include Secretary of Vereniging Afgestuurde Econometristen Tilburg and board membership at Stichting Decisioni Sustentatio. His work bridges academia and industry, emphasizing practical applications of decision quality frameworks. Notable contributions include models addressing double marginalization in financing and strategic timing in triopoly markets.

Eirini Spiliotopoulouمشاهده پروفایل

دانشیار

• Behavioral Operations
• Supply Chain Coordination
• Information Sharing
• +۷ مورد دیگر

Eirini Spiliotopoulou is an Associate Professor at the Department of Information Systems and Operations Management, Tilburg School of Economics and Management (TiSEM), Tilburg University. Her research focuses on behavioral operations, supply chain coordination, and human-algorithm interaction, with a strong emphasis on sustainability and humanitarian logistics. She holds a PhD and M.Eng. from the MIT-Zaragoza Logistics Program and has held academic positions at VU Amsterdam and European Business School. Visiting Scholar at MIT Sloan School of Management (Spring 2024) Editorial roles: Decision Sciences Journal (Associate Editor), Production & Operations Management (Review Board) Education: PhD in Logistics and Supply Chain Management, MIT-Zaragoza Logistics Program (Spain) M.Eng. in Logistics and Supply Chain Management, MIT-Zaragoza Logistics Program Research Interests: Behavioral operations, supply chain coordination, information sharing, human-algorithm interaction, sustainability in supply chains, and global health logistics. Methodologies include experimental design, analytical modeling, and secondary data analysis. Publications: Recent work explores inventory management under uncertainty, data-driven decisions in restaurants, and behavioral aspects of supply chain dynamics. Her articles appear in Production and Operations Management , Decision Sciences , and European Journal of Operational Research . Awards: POM Skinner Best Paper Award 2016 Advising & Grants: Active in editorial roles and research grants focusing on behavioral supply chain dynamics. No listed advisees. Labs/Teams: Collaborates with MIT, Harvard, and industry partners on applied logistics and supply chain projects. Involved in global health supply chain initiatives.

• Rural Medicine
• Medical Education
• Indigenous Health
• +۳ مورد دیگر

Richard Murray is a Professor at the School of Medicine, James Cook University (JCU), specializing in rural medicine, medical education, and Indigenous health. His work focuses on addressing healthcare inequities in rural and remote areas, particularly for Aboriginal populations. He has contributed extensively to socially accountable medical education models, emphasizing the training of healthcare professionals for underserved regions. Dr. Murray has co-authored key publications on rural workforce development, Indigenous health policy, and clinical trials in remote settings. He played a pivotal role in JCU's decentralised medical training program, which has positively impacted rural healthcare workforce distribution. His research also explores health policy frameworks and interventions targeting smoking cessation and chronic disease management in Indigenous communities. Collaborative projects include partnerships with Aboriginal health services to improve healthcare access and outcomes. His research interests span medical education reform, health workforce planning, telemedicine applications in remote areas, and culturally competent healthcare delivery. Notable contributions include the textbook Aboriginal Primary Health Care: an evidence-based approach , addressing healthcare challenges faced by Indigenous Australians. Murray’s work bridges clinical practice, education, and policy to strengthen healthcare systems in rural and Indigenous contexts.

Frédéric PICHONمشاهده پروفایل

استاد

• Uncertain Reasoning
• Information Fusion
• Machine Learning
• +۳ مورد دیگر

Frédéric Pichon is a Full Professor at Artois University's Laboratory of Computer Engineering and Automation of Artois (LGI2A), part of the Faculty of Applied Sciences in Béthune, France. He holds a Ph.D. in Information and Communication Systems (2009) and an H.D.R. (2018) from Artois University. His research focuses on uncertain reasoning, information fusion (particularly belief functions theory), and machine learning applications in decision-making under uncertainty. Education: B.Eng. (Hons) in Computer Networks and Distributed Systems, Edinburgh Napier University, 2003 M.Sc. in Information Technology, Aalborg University Esbjerg, 2005 Ph.D., University of Technology of Compiègne, 2009 H.D.R., Artois University, 2018 Research Interests: Belief functions theory and applications Optimization under severe uncertainty Machine learning with uncertain data Information fusion for decision support Articles Trends: Recent work emphasizes belief function-based solutions for optimization problems (e.g., shortest path, vehicle routing) and deep learning integration with uncertainty quantification. Early-career contributions include foundational work on Dempster-Shafer theory and conflict analysis. Awards: Notable recognitions include the IJAR Early Career Researcher Award (2022), multiple best paper awards at LFA and BELIEF conferences, and distinctions for student research supervision. Advising & Grants: Supervised 9 PhD students (3 in progress). Active in organizing international conferences (BELIEF, LFA) and editorial roles (Area Editor for International Journal of Approximate Reasoning). Research spans theoretical advancements and applied projects in logistics, image processing, and simulation. Labs/Teams: Core member of LGI2A, collaborating with institutions like Heudiasyc and IBISC labs on uncertainty modeling and fusion systems.

• Mental Health Policy
• Health Economics
• Health Planning
• +۴ مورد دیگر

Sebastian Rosenberg is a Senior Lecturer (part-time) at the Brain & Mind Research Institute, School of Medical Sciences, University of Sydney, and concurrently serves as Head of the Mental Health Policy Unit at the Australian National University (part-time). His research focuses on mental health systems and policy, particularly accountability mechanisms, economic models, and community engagement strategies. Rosenberg holds a PhD in mental health policy from the University of Sydney (2017), following a career spanning public service, non-profit leadership, and consulting. His academic roles include co-leading the Economics, Systems Science and Mental Wealth Policy stream at the Brain and Mind Centre and teaching the postgraduate course BMRI5027, Leadership and Policy in Mental Health. Current projects address mental health planning economics, inequity studies, and future system design. Rosenberg’s research outputs emphasize policy evaluation, systems modeling, and healthcare access equity. He collaborates with global experts on frameworks like the Mental Wealth perspective and participatory systems modeling. His work bridges academic research with practical policy implementation, often critiquing gaps in current mental health reforms. Key affiliations include the National Mental Health Systems Modelling Group, Woden Community Services Board (2017–2020), and advisory roles such as the National Health and Medical Research Council’s Public and Community Health Committee (2009–2012).

Simon Fløj Thomsenمشاهده پروفایل

پژوهشگر ارشد

• Macroeconomics
• Environmental Economics
• Input-Output Analysis
• +۳ مورد دیگر

Simon Fløj Thomsen is a Research Fellow at Aalborg University Business School, part of the Faculty of Social Sciences and Humanities. His research focuses on macroeconomic modeling with an emphasis on ecological sustainability, unemployment policy, and environmental regulations. He holds a PhD Fellow position and is affiliated with the MaMTEP (Macroeconomic Methodology, Theory and Economic Policy) research group. Teaching responsibilities include Mathematics for Economists, Advanced Macroeconomics, Econometrics, and Causal Inference at both BA and MA levels. He has also developed data analysis courses using DataCamp's interactive platform. His key research areas include stock-flow consistent models, input-output analysis, and the evaluation of Danish unemployment policies. Recent work explores the Porter Hypothesis and carbon leakage under environmental regulations, as well as macroeconomic impacts of policy decisions. He has contributed to 6 peer-reviewed publications between 2024-2025. Recipient of the prestigious Inge Røpke Award (2023), he actively participates in academic networks such as the International Input-Output Association and organized/co-organized workshops like the 'Economic Policies in the Socio-Ecological Transition II' conference (2025). His research integrates ecological and economic systems through advanced modeling frameworks.

Agneta Marellمشاهده پروفایل

استاد

• Marketing
• Consumer Behavior
• Business Administration
• +۳ مورد دیگر

Agneta Marell is a Professor (on leave) at the Umeå School of Business, Economics and Statistics (USBE), Umeå University. She holds a position in the Department of Business Administration, Marketing. Her work focuses on consumer behavior, sustainable marketing, and business-to-business dynamics. Key research interests include proenvironmental technology adoption, eco-innovation diffusion, and the interplay between customer experience and brand equity. She has extensively studied topics like grocery shopping behavior, vacation decision-making, and transportation sustainability. Her work frequently bridges marketing theory with empirical applications in Swedish and international contexts. Publications highlight trends in green consumer behavior, cluster analysis of proenvironmental choices, and the role of value orientation in sustainable tourism. She has collaborated with industry partners on projects involving absorptive capacity in university-industry collaborations and barriers to deregulation in transportation sectors. Labs/Teams: Not explicitly mentioned in the text. Advising & Grants: No specific grants or advising roles listed, though her work indicates collaborative research with industry and government bodies.

Nigel L. Williamsمشاهده پروفایل

استاد

• Responsible Project Management
• Systems Thinking
• Sustainable Development
• +۳ مورد دیگر

Nigel L. Williams is a Professor in Responsible Project and Systems Management at the University of Portsmouth's Faculty of Business and Law, where he serves as Associate Dean for Research and Innovation. With a PhD in Engineering from the University of Cambridge and prior industry experience in the Caribbean, he bridges academic research and professional practice. Current roles: Pro Vice-Chancellor (Research and Innovation), Director of the Agile Centre for Equitable Sustainability Research focus: Systems Thinking, Responsible Project Management (ResponsiblePM.com), and sustainability integration in project governance His work spans project management maturity , stakeholder dynamics, and machine learning applications in business contexts. Recent publications emphasize existential risk assessment , digital twins for retail productivity, and social value creation in infrastructure. He collaborates with UN agencies, NGOs, and industry bodies like PMI and APM. As a board member of the Project Management Institute UK Chapter (2023-2025), he drives academic outreach. His research addresses UN Sustainable Development Goals through GCRF and Innovate UK-funded projects.

Jacob Daviesمشاهده پروفایل

پژوهشگر

• Health Economics
• Healthcare Policy
• Healthcare Resource Allocation
• +۳ مورد دیگر

Jacob Davies is a Research Project Support Officer at the Centre for Health Economics and Medicines Evaluation (CHEME), Bangor University. He holds a First Class Honours degree in Economics from Cardiff University and is currently pursuing a PhD in Health Economics, focusing on the economic impact of NHS waiting list rationing in South Wales. His research spans evidence reviewing, economic evaluations within clinical trials, and patient-reported outcome measures (PROMs). Education: Bachelor of Economics (First Class Honours), Cardiff University PhD candidate in Health Economics (ongoing) Research Interests: Healthcare resource allocation Economic evaluation of public health interventions Cost-effectiveness analysis in healthcare systems Health equity and policy design Key Contributions: Published 25+ peer-reviewed articles and reports on topics like hospice care economics, post-stroke service costs, and AI in cancer diagnosis. Project Manager for Health and Care Economics Cymru (HCEC) Management Board. Welsh representative on the Health Economists’ Study Group (HESG) Early Career Researcher committee. Awards: Early Career Research Excellence Prize (2023) Grants/Projects: Invest4Health project on collaborative health financing models Wales COVID-19 Evidence Centre initiatives Labs/Teams: Public Health and Prevention Economics Research Group (PHERG) at CHEME Health Economics and Medicines Evaluation team

• Public Economics
• Labor Economics
• Environmental Economics
• +۵ مورد دیگر

Marcelo Arbex is a Professor in the Department of Economics at the University of Windsor. He serves as the graduate director and has contributed to expanding the department’s global reach through its growing international student population. His research focuses on public economics, tax policy, labor markets, and the informal economy, with notable studies on tax evasion, pandemic economic impacts, and environmental policy. Arbex has collaborated with institutions like Assumption University to analyze socio-economic factors influencing career choices, such as men entering priesthood. His work often bridges theoretical frameworks with policy-relevant analysis, including the economic costs of drownings in the Great Lakes region and Brazil’s Bolsa Família program. He has advised students such as Derek Lanoue (thesis on hockey salaries) and Jared Seagris (summer research). Arbex received the Faculty Performance Award from the University of Windsor, recognizing his contributions to teaching and research. His research spans tax enforcement mechanisms, climate change welfare costs, and the macroeconomic effects of pandemics. Arbex’s work emphasizes empirical rigor and policy implications, addressing topics such as circular economy costs, optimal taxation of informal firms, and the role of testosterone in tax compliance behavior. His interdisciplinary approach integrates economics with public health, environmental science, and network theory.

Yousef Ghiamiمشاهده پروفایل

استادیار

• Supply Chain Management
• Inventory Management
• Operations Analytics
• +۳ مورد دیگر

Yousef Ghiami is an Assistant Professor of Logistics and Supply Chain Management at the Department of Operations Analytics, Vrije Universiteit Amsterdam. He holds a PhD in Inventory and Supply Chain Management from Southampton Business School (2014). His expertise spans supply chain sustainability, inventory optimization, and operations analytics, contributing to UN Sustainable Development Goals related to responsible consumption and production (SDG 12). Research Interests: Green supply chain management Inventory systems for deteriorating items Carbon pricing and emissions reduction Healthcare logistics and pharmaceutical supply chains Multi-echelon inventory routing Stochastic demand modeling in operations Recent work focuses on: Carbon-sensitive supply chain models (2023-2025) Pharmaceutical supply chain resilience in the Netherlands (2021-2025) Optimization of LNG distribution networks (2015-2019) Collaborations include projects funded by TKI Urban Energy, with emphasis on sustainable logistics solutions. He teaches Global Supply Chain Management and contributes to the Amsterdam Business Research Institute's operations research initiatives.

• Power Systems
• Renewable Energy
• Optimization Models
• +۴ مورد دیگر

Dr. Hamza Abunima is an Assistant Professor at the Electrical Electronics Engineering Department of Uskudar University since 2021. He holds a PhD in Power Systems and Energy Conversion from Universiti Sains Malaysia (2020), an MSc in Electrical Engineering from Universiti Teknikal Malaysia (2015), and a BSc in Electrical Engineering from The Islamic University of Gaza (2011). His research focuses on power systems optimization, renewable energy integration, and smart grid technologies. He has published extensively on topics such as mixed-integer programming for scheduling, microgrid operations, and photovoltaic system reliability. Abunima has led or participated in projects like the establishment of a Power Systems and Electric Machines Laboratory (expiring 2024) and research on industrial energy problems (expiring 2024). His administrative roles include Erasmus Coordinator (2022–2023) and membership in the Exam Schedule Preparation Committee (2023–present). He teaches courses such as Power Systems, Fuzzy Logic and Neural Networks, and Circuit Theory II. His research interests emphasize optimizing energy systems through mathematical modeling and control strategies, with a focus on renewable energy integration challenges and grid stability. Recent work includes studies on PV system efficiency, demand-side management, and stochastic optimization for microgrids.