جست‌وجوی استاد و پژوهشگر

Maurizio Tomasellaمشاهده پروفایل

استاد

• Airport Operations
• Manufacturing and Supply Chain Operations
• AutoID Technologies
• +۱۲ مورد دیگر

Maurizio Tomasella is a Reader in Management Science at the University of Edinburgh Business School and a Chancellor's Fellow . He previously served as a Research Associate at the AutoID Lab and Distributed Information and Automation Lab at Cambridge University Engineering Department, and as a Research Fellow at Politecnico di Milano. Doctor of Philosophy (PhD) in Manufacturing Technology and Systems, Politecnico di Milano (2009) Master of Science in Industrial Engineering/Manufacturing Technology and Systems, Politecnico di Milano (2004) His research focuses on Airport Operations , Organisational Resilience , Simulation-Optimisation , and Constraint Programming , with applications in Supply Chain Management and AutoID Technologies . Recent publications explore simheuristics for workforce planning and dynamic operational policies in airport systems, leveraging Discrete Event Simulation and Stochastic Modeling . Scientific Awards Best Contributed Applied Paper (2024) As a principal investigator, he has led projects such as EPSRC IAA PV014 (2022–2023) on airport operational resilience and Modelling Edinburgh Airport's Baggage Overhaul System (2015–2016). He actively supervises PhD students and collaborates with institutions like the Institute for Operations Research and the Management Sciences (INFORMS).

Mohamed Osmaniمشاهده پروفایل

استاد

• Circular Economy
• Sustainable Design and Construction
• Construction Waste Management
• +۷ مورد دیگر

Professor Mohamed Osmani is a Professor of Sustainable Design and Construction at University College London (UCL). His research focuses on circular economy principles, sustainable construction innovation, material efficiency, and the integration of digital technologies like BIM and blockchain in construction governance. He leads interdisciplinary projects funded by UKRI, the European Commission, and industry partners, addressing challenges in construction waste management, low-carbon building design, and smart city infrastructure. His work includes pioneering studies on plasterboard recycling, BIM-driven sustainability frameworks, and blockchain applications for trust in construction projects. Key projects include the UKRI-funded Interdisciplinary Circular Economy Centre for Mineral-based Construction Materials (ICEC-MCM) and the EU’s ICEBERG project on gypsum purification. He contributes to international standards such as ISO 59004 (Circular Economy Framework) and the UN’s Anthropogenic Resources Working Group. Research interests span smart cities, healthcare design for well-being, and innovative recycling technologies. He emphasizes collaboration across sectors to achieve circular economy goals in construction, transportation, and urban development. Notable contributions include developing BIM-based water efficiency frameworks, blockchain-enhanced waste management systems, and lifecycle assessments for construction materials. His work aligns with global sustainability targets, including the UN Sustainable Development Goals (SDGs).

Tony Thorpeمشاهده پروفایل

استاد

• Digital Construction
• Construction IT
• Building Information Modeling (BIM)
• +۷ مورد دیگر

Professor Tony Thorpe holds the position of Professor of Construction IT and Construction Engineering Management Part C Tutor at Loughborough University's School of Architecture, Building and Civil Engineering. With over 40 years of experience, his expertise spans construction management, digital construction technologies, and BIM integration. He has supervised 40 PhD students and authored over 180 refereed publications. His research focuses on construction IT, including data integration via BIM, off-site construction automation, and circular economy applications. Current projects include model-based systems engineering for virtual railway networks (with Joseph Murphy) and embedding circular economy principles in building sectors (with Katherine Adams). Recent work explored collaborative dynamics in construction (Eloise Grove's EngD project). Key research themes include: Construction supply-chain optimization RFID/barcode data capture systems BIM standardization and communication efficiency Freeform construction and 3D printing in architecture His publications highlight innovations like automated scanning systems for infrastructure, causal analysis in ethics, and strategic management frameworks. He advocates for BIM education reforms through case studies in UK universities. Teaching contributions include developing curriculum for digital construction practices and managing MERIT simulation tools for construction education.

• Operations Research
• Machine Learning
• Healthcare
• +۶ مورد دیگر

Dr. Esra Büyüktahtakιn Toy is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech, directing the Systems Optimization and Machine Learning Lab (SysOptiMaL). Her research focuses on integrating machine learning (ML), optimization, and artificial intelligence (AI) to address high-stakes decision-making in healthcare, environmental sustainability, and biosecurity. She has secured over $3 million in external funding from NSF, USDA, DOD, and others, and has authored 45 peer-reviewed publications, including 23 in A/A-ranked journals. Education: Ph.D. in Industrial and Systems Engineering, University of Florida (2009) M.S. in Management Science, Lehigh University (2007) M.S. in Industrial Engineering, Bilkent University (2005) Her research interests span multi-stage stochastic programming, reinforcement learning, and epidemic modeling. Recent work addresses resource allocation for disease outbreaks (e.g., Ebola, HIV), invasive species control (emerald ash borer), and AI-driven logistics optimization. She has graduated 8 Ph.D. students now in academic/industry roles and currently advises 8 more. Awards: 2016 NSF CAREER Award Five INFORMS Best Publication Awards Dr. Toy has pioneered the integration of epidemic modeling with logistics systems and contributed scenario dominance algorithms for stochastic optimization. She serves as Associate Editor for the INFORMS Journal on Computing and previously led the INFORMS Junior Faculty Interest Group (JFIG). Lab & Collaborations: The SysOptiMaL Lab develops scalable algorithms combining optimization theory and deep learning. Current projects include AI-driven multi-stage optimization frameworks for healthcare and environmental systems, supported by grants from NSF, USDA, and U.S. Forest Service.

• Applied Operations Research
• Healthcare Management
• Supply Chain Optimization
• +۳ مورد دیگر

Maryam Keshtzari, PhD, is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of San Diego. She holds a PhD in Industrial Engineering from Texas Tech University (2020), an MS from Azad University, and a BS from Kar University. Her research focuses on applied operations research, healthcare and supply chain optimization, simulation, and stochastic modeling. Dr. Keshtzari’s academic career includes teaching roles at Texas Tech University, where she received the Excellence in Graduate Teaching Award, and the University of Applied Science and Technology in Iran, where she taught Project Management and Supply Chain Management. She has received the Covenant Health and Social Services Graduate Fellowship (2019–2020) for contributions to healthcare operations research. Her research bridges healthcare logistics and supply chain efficiency, addressing challenges such as oncology clinic capacity planning, IV fluid delivery optimization, and cross-docking systems. She frequently presents at conferences like INFORMS and IISE, focusing on mathematical modeling and simulation-based solutions.

Berit Irene Helgheimمشاهده پروفایل

دانشیار

• Supply Chain Management
• Healthcare Operations Management
• Logistics
• +۴ مورد دیگر

Berit Irene Helgheim is an Associate Professor in Logistics at Molde University College's Faculty of Logistics, where she holds multiple director positions including Director of the Master of Science in Logistics, Master of Science in Sustainable Energy Logistics, Experienced-based Master in Logistics, Experienced Master in Health Care Operations Management and Digital Systems, Bachelor in Supply Chain Management and Logistics, and Director of the Center for Health Care Operations Management. Her research focuses on Supply Chain Management and Operations Management in Health Care, with particular expertise in applying logistics principles to healthcare systems. Her work explores the intersection of digital transformation, AI applications, and operational efficiency in healthcare delivery, home care services, and sustainable logistics systems. She has made significant contributions to understanding how technology can improve patient flow, reduce healthcare workloads, and enhance documentation systems in both hospital and home care settings. Analysis of her recent publications reveals a strong trend toward applying advanced analytics and AI to healthcare operations, with increasing focus on sustainability and digital transformation across multiple sectors. Her work spans from theoretical frameworks like principal-agent theory in port digitalization to practical applications in emergency departments and home healthcare. The research demonstrates a consistent pattern of interdisciplinary collaboration, often involving computer science experts for AI implementations and healthcare professionals for domain expertise. Professor Helgheim leads the Center for Healthcare Operations Management research group and contributes to Digitalization for Sustainability and Supply Chain Management research groups at Molde University College. Her work demonstrates strong connections between academic research and practical applications in healthcare systems, with numerous case studies conducted in Norwegian municipalities and healthcare institutions. As director of multiple academic programs, she oversees curriculum development and student supervision across bachelor's, master's, and experienced-based master's programs in logistics and healthcare operations. Her leadership extends to major research projects including e-Hospital4Future, which focuses on digital transformation in healthcare settings.

• Statistical Quality Control
• Supply Chain Management
• Operations Research
• +۳ مورد دیگر

George Nenes is a Professor and Head of the Department of Mechanical Engineering at the University of Western Macedonia (Greece), affiliated with the Polytechnic School. He also serves as a research associate at Aristotle University of Thessaloniki's Mechanical Engineering Department. His academic journey includes a PhD in Statistical Quality Control (2006), MSc in Management of Production Systems (2002), and a Mechanical Engineering Diploma (2000), all from Aristotle University. He has held visiting roles at institutions like the University of Thessaly and Democritus University of Thrace, and taught in international programs like Middlesex University's external programme. Research focuses on Statistical Quality Control and Supply Chain Management, with expertise in adaptive control charts, economic-statistical design methodologies, and inventory optimization. His work spans journals such as European Journal of Operational Research and IIE Transactions. He leads the MORSE Lab (Quantitative Methods of Operations Research and Statistics in Engineering) and teaches courses including Operations Research I/II, Inventory Management, and Simulation. Publications emphasize optimization of quality control systems, remanufacturing lot sizing, and finite-horizon process monitoring. His research integrates Bayesian methods, stochastic modeling, and cost-benefit analysis to address challenges in manufacturing and supply chain systems.

Arnaud Costinotمشاهده پروفایل

استاد

• International Economics
• Trade Policy
• Development Economics
• +۳ مورد دیگر

Arnaud Costinot is the Ford Professor of Economics at the Massachusetts Institute of Technology (MIT). He specializes in international economics, with a focus on trade policy, globalization, and industrial policy. His research bridges theoretical and empirical approaches to address pressing questions in global trade dynamics and development. Costinot has held prestigious positions, including membership in the American Academy of Arts and Sciences and fellowship in the Econometric Society. He has contributed significantly to understanding trade barriers, policy impacts, and economic integration effects. His recent work explores tariff impacts, trade shocks, and the role of industrial policy in fostering economic growth. Costinot’s awards include the Best Coeditor Prize from the Journal of International Economics (2020) and the Kiel Excellence Award (2011). His research frequently appears in top journals like the Quarterly Journal of Economics and Review of Economic Studies . Despite no explicit mention of labs or teams in the provided texts, his collaborative projects with institutions and co-authors highlight his role in shaping modern trade economics.

Burak Galip Aslanمشاهده پروفایل

مدرس

• Decision-support systems
• Expert systems
• Forecasting
• +۷ مورد دیگر

Burak Galip Aslan is a Lecturer in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). He has been affiliated with the institution since 2000. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Dokuz Eylul University (2000), an M.Sc. in Computer Software from IZTECH (2003), and a Ph.D. in Computer Engineering from Ege University (2010). Education: B.Sc. Electrical and Electronics Engineering, Dokuz Eylul University (2000) M.Sc. Computer Software, Izmir Institute of Technology (2003) Ph.D. Computer Engineering, Ege University (2010) Research Interests: His work focuses on educational technology, adaptive learning systems, and computational methods in education. Key areas include decision-support systems, Bayesian modeling for academic achievement, cloud-based e-learning architectures, and learning style analysis through behavioral data. He also explores hands-on educational approaches in computer hardware instruction for secondary students. Courses Taught: Core courses include Logic Design (CENG 214), Microprocessors (CENG 384), Probability and Statistics (CENG 222), Professional Ethics in Computer Engineering (CENG 411), and Research Methodology (CENG 518). His teaching integrates laboratory work involving digital circuits, microcontroller programming, and ethical considerations in technology. Publications: His research highlights include studies on Bayesian techniques in language education, cloud deployment for e-learning systems, and learning style validation frameworks. Recent work emphasizes practical educational tools like hardware teaching modules for high school students. Laboratory Contributions: Develops hands-on experiments in digital systems design, including BCD-to-7-segment displays, combinational circuits, and microcontroller-based projects. These labs emphasize troubleshooting, ADC interfacing, and embedded systems development.

• Decision Making Under Uncertainty
• Stochastic Dynamic Programming
• Operational Research
• +۳ مورد دیگر

Dr. Christopher Kirkbride is a Senior Lecturer in Management Science at Lancaster University's Management School. His research focuses on decision-making under uncertainty, employing methodologies such as stochastic dynamic programming, simulation, and approximate dynamic programming to address challenges in project scheduling, nuclear decommissioning, workforce planning, and asset management. He actively supervises PhD students and participates in interdisciplinary research groups like STOR-i and the Lancaster Intelligent Systems Centre. Key research projects include optimizing nuclear decommissioning processes and developing resource allocation strategies for dynamic environments. He has presented at major conferences such as EURO and IFORS, contributing to both academic and applied operational research communities. His work bridges theoretical advancements with practical applications, emphasizing robust solutions for stochastic systems. Dr. Kirkbride advises PhD students on topics including reinforcement learning applications and optimization for dynamic systems. His grants include projects funded through STOR-i, focusing on reinforcement learning safety and machine learning-optimization integration. He collaborates with teams specializing in simulation, stochastic modeling, and intelligent systems, further enhancing interdisciplinary research impact.

Niki Matinradمشاهده پروفایل

استادیار

• Emergency Response Logistics
• Health Care Logistics
• Quantitative Logistics
• +۵ مورد دیگر

Niki Matinrad is an Assistant Professor at Linköping University, affiliated with the Communications and Transport Systems (KTS) division within the Department of Science and Technology (ITN). Their research focuses on emergency response and healthcare logistics, emphasizing optimization of volunteer networks and resource allocation in crisis scenarios. Collaborating closely with the rescue and healthcare sectors, their work integrates operations research and systems analysis to enhance disaster preparedness and response efficiency. Research interests include volunteer center localization, unmanned aerial systems (UAS) in search and rescue, sustainable supply chain design for crisis management, and predictive modeling for emergency medical service demand. Niki is part of the Center for Advanced Research in Emergency Response (CARER) and contributes to the Quantitative Logistics (KL) research group. Recent publications highlight innovations in rural emergency volunteer networks, UAS dispatch strategies from maritime platforms, and optimal task assignment algorithms for cardiac arrest response. Their interdisciplinary approach bridges technical, organizational, and socio-cultural dimensions of crisis management. As a member of the Junior Faculty network at Linköping University, Niki actively engages in advancing early-career research leadership while maintaining strong ties to industry and governmental stakeholders in emergency logistics and transport systems.

• Agricultural Economics
• Climate Change Impacts
• Food Security
• +۶ مورد دیگر

Ernesto Valenzuela is a Senior Lecturer in Agricultural Economics at La Trobe University, Melbourne, Australia. He holds a PhD from Purdue University (2004), an MSc from Southern Illinois University (2000), and a BSc in Aquaculture from Escuela Superior Politécnica del Litoral, Ecuador (1995). His research focuses on climate change impacts, food security, agricultural markets, and international trade, with over 90 scholarly outputs and significant citations (h-index 21, i-index 36). He has collaborated with organizations like the World Bank, CSIRO, and GTAP, and contributed to policy analysis through CGE modeling. His recent work includes studies on hempcrete technology for sustainable housing and regional development in Australia. **Education:** PhD, Agricultural Economics, Purdue University, 2001–2004 MSc, Agricultural Economics, Southern Illinois University, 1998–2000 BSc (Aquicultor), Escuela Superior Politécnica del Litoral, 1991–1995 **Research Interests:** Climate change economics, food security, agricultural trade policies, regional development, natural resource management, and applied macroeconomic analysis. His work bridges theory and practice, addressing global challenges through empirical research and policy recommendations. **Grants & Collaborations:** Consultancies and projects with Agrifutures, CSIRO, World Bank, UNCTAD, and GTAP. His research often involves multidisciplinary teams and industry partnerships, such as analyzing hemp’s potential for multi-industry growth in Gippsland. **Awards & Recognition:** Recognized in top 10% globally in agricultural economics (IDEAS/RePEc, 2023) and top 8% in distinct works (2024). His publications appear in journals like the American Journal of Agricultural Economics and the World Bank Economic Review. **Key Themes in Articles:** Recent work emphasizes blockchain adoption in grain trade, climate impacts on investment flows, and global agricultural policy distortions. Earlier contributions include studies on wine tax reforms in Australia and the economic effects of trade liberalization.

Soheil Davariمشاهده پروفایل

مدرس ارشد

• Rare Earth Minerals
• Renewable Energy
• Supply Chain Management
• +۳ مورد دیگر

Dr. Soheil Davari is a Senior Lecturer (Associate Professor) at the University of Bath's School of Management, serving as Director of Accreditations. He holds a PhD in Management Sciences and is a Senior Fellow of the Higher Education Academy (SFHEA). His research focuses on rare earth minerals, renewable energy systems, supply chain resilience, and food resilience. He has over 20 years of industry experience across healthcare, retail, pharmaceuticals, and education sectors. Education: Doctor of Philosophy in Management Science (2007–2012) Master of Science in Industrial Engineering (2005–2007) Bachelor of Science in Industrial Engineering (2000–2005) Research Interests: Dr. Davari's work addresses critical issues in sustainable systems, including rare earth mineral supply chains, renewable energy infrastructure, and healthcare network optimization. His research bridges operations research and real-world applications, with notable contributions to facility location problems, emergency service modeling, and technology adoption studies among older adults. Awards: Senior Fellow of Higher Education Academy (2019) External Roles: External Examiner at Imperial College London (2021–2025) British Academy of Management Consultancy Network Committee Member (2025–present) Academic Board Member at London School of Innovation (2024–present) Key Research Themes: His recent work emphasizes sustainable energy systems, healthcare resource optimization, and digital inclusion challenges. Notable projects include hospital resource models, ambulance demand forecasting systems, and preventive healthcare network design.

Joshua Pulsipherمشاهده پروفایل

استادیار

• Optimization under Uncertainty
• Data Science
• Machine Learning
• +۷ مورد دیگر

Joshua Pulsipher is an Assistant Professor of Chemical Engineering at the University of Waterloo, Canada. He joined in 2023 and leads a research group focused on interdisciplinary solutions at the intersection of chemical engineering, computer science, mathematics, and statistics. His work addresses challenges in sustainability, energy systems, and data-driven decision-making under uncertainty. He holds a B.Sc. from Brigham Young University and a Ph.D. from the University of Wisconsin-Madison, with postdoctoral training at Carnegie Mellon University. Education: B.Sc. in Chemical Engineering, Brigham Young University (2017) Ph.D. in Chemical & Biological Engineering, University of Wisconsin-Madison (2022) Postdoctoral Research, Carnegie Mellon University (2022–2023) Research Interests: Optimization under uncertainty, machine learning, sustainable systems, infinite-dimensional optimization, energy systems, wildfire mitigation, and software development for accessibility in research. His projects span wildfire management frameworks, resilient infrastructure, and software tools like InfiniteOpt.jl and FlexibilityAnalysis.jl. Awards: Best Presentation Award, JuMP-dev 2024 Travel Award, FOCAPO/CPC (2023) Plenary Speaker at AICHE Annual Meeting (2022) Teaching: Courses include CHE 322 (Numerical Methods), CHE 341 (Process Control), and CHE 521 (Process Optimization). His philosophy emphasizes active learning and inclusivity. Labs/Software: Develops open-source software frameworks such as InfiniteOpt.jl for infinite-dimensional optimization and SAFE-OCC for computer vision sensor reliability. Active in promoting reproducibility and software-driven research.

Switgard Feuersteinمشاهده پروفایل

استاد

• International Economic Relations
• Industrial Economics
• Monetary Economics
• +۳ مورد دیگر

Professor Switgard Feuerstein holds the Chair of the Audit Committee at Heidelberg University's Alfred Weber Institute. She specializes in International Economic Relations and Industrial Economics, with research focusing on EU enlargement, monetary policy, and oligopoly dynamics. Her academic journey includes a PhD (1991) and habilitation (1998) from Heidelberg University, followed by roles as acting professor at the University of Essen and professorships at the University of Erfurt and Linz. She has held prestigious fellowships, including the Marie Curie Fellowship at the University of Nottingham. Education: Studied Mathematics and Economics at universities in Göttingen, Warsaw, Heidelberg, and Singapore. Earned a Mathematics diploma (1985), economics doctorate (1991), and habilitation (1998) at Heidelberg University. Research Interests EU Enlargement and its economic impacts Monetary policy coordination in currency unions Collusion dynamics in industrial markets International trade and price discrimination mechanisms Publications span EU integration, monetary economics, and industrial organization. Her work includes seminal analyses of the Euro's adoption, Zollverein's legacy, and coffee industry taxation. Awards German National Academic Foundation Scholarship (1979–1984) DAAD Scholarship (1980/81) EU Human Capital Mobility Fellowship (1995) Marie Curie Fellowship (2006–2008) Advising & Grants No listed advisees, but her research has been supported by EU programs and the Leverhulme Center. Leads the Foreign Trade Working Group at Heidelberg, focusing on international economic relations and policy.