جست‌وجوی استاد و پژوهشگر

• Decision Analysis
• Risk Management
• Public Policy
• +۷ مورد دیگر

Aron Larsson is a Professor at Mid Sweden University's Department of Communication, Quality Management and Information Systems (KKI). His professional affiliations include roles in the Risk and Crisis Research Centre. He holds a PhD in Decision Analysis from Mid Sweden University (2008) and a Licentiate degree (2006), focusing on computational decision models. His research interests span decision analysis methodologies, risk management, public policy evaluation, critical infrastructure resilience, and regional development. He specializes in multi-criteria decision analysis (MCDA), uncertainty modeling, and participatory decision tools for complex societal challenges. Recent work includes studies on pandemic response strategies, digital health systems, and governance of critical infrastructure. Larsson's publications emphasize practical applications of decision support systems in emergency management, healthcare, and environmental policy. His projects include developing simulation games for assessing payment system disruptions and collaborative resilience frameworks for finance-food-fuel systems. He also explores digital service governance and the role of data in crisis response. His articles frequently address decision-making under uncertainty, stakeholder collaboration, and the integration of qualitative and quantitative methods. Notable contributions include frameworks for evaluating policy interventions in Botswana and methodologies for assessing misinformation in social media contexts. Larsson collaborates with institutions like the Swedish Energy Agency and the EU, focusing on energy policy, crisis management, and sustainable development. His work bridges academic research with real-world applications in public administration and private sector innovation.

• Behavioral Economics
• Environmental Economics
• Public Policy
• +۴ مورد دیگر

Maria Arvaniti is an Assistant Professor in the Department of Economics at the University of Bologna. Previously, she held a postdoctoral position at the Centre of Economic Research, D-MTEC, ETH Zürich. Her research focuses on behavioral economics anomalies such as temptation preferences and present bias, strategic policy design, and environmental economics challenges like climate coalitions and resource management under regime shifts. She holds a Ph.D. in Economics from the University of Warwick (2014). Her work emphasizes the intersection of behavioral economics with public policy, particularly in designing time-consistent policies and analyzing international climate agreements. Her recent articles explore topics such as climate policy coalitions, renewable resource management, and the role of financial imperfections in environmental disasters. While no scientific awards are explicitly mentioned, her contributions highlight innovative approaches to addressing global environmental and behavioral economic challenges. Advising and grant details are not documented here, but her research engages with institutions like the University of Bologna and ETH Zürich. No lab or team affiliations are explicitly stated in the provided texts.

Yves Robertمشاهده پروفایل

استاد

• Parallel Computing
• Scheduling Algorithms
• High-Performance Computing (HPC)
• +۵ مورد دیگر

Yves Robert is a Professor at the Computer Science Laboratory LIP (Laboratoire de l'Informatique du Parallélisme) at École Normale Supérieure de Lyon (ENS Lyon). He also holds a Visiting Scientist position at the University of Tennessee Knoxville since 2011. His research focuses on resource optimization, parallel algorithms, scheduling techniques, and resilience methods in high-performance computing (HPC). Key areas include fault-tolerant numerical algorithms, energy-efficient scheduling, and iterative application checkpointing strategies. Robert has received prestigious awards such as the 2020 IEEE Computer Society Charles Babbage Award for contributions to parallel algorithms and scheduling. He is an IEEE Fellow (since 2005) and a Senior Member of Institut Universitaire de France. His work bridges theoretical foundations and practical algorithmic solutions, addressing challenges in distributed-memory architectures, workflow scheduling, and resilience at scale. His research spans parallelizing compilers, task graph scheduling, and energy-aware computing. Notable contributions include optimizing checkpointing strategies for HPC platforms, analyzing fault tolerance in iterative applications, and developing resilient scheduling heuristics for parallel jobs. His work often emphasizes scalability and reliability in modern computing systems.

Katriona Sheaمشاهده پروفایل

استاد

• Theoretical Ecology
• Infectious Disease Dynamics
• Global Warming
• +۵ مورد دیگر

Professor Katriona Shea holds the position of Professor of Biology and Alumni Professor in the Biological Sciences at Pennsylvania State University, within the Eberly College of Science's Department of Biology. She is affiliated with the Huck Institutes of the Life Sciences and the Center for Infectious Disease Dynamics (CIDD). Her research focuses on theoretical applied ecology, particularly invasion biology, epidemiology, and the impacts of climate change on ecological systems. She earned a B.A. in Physics from New College, Oxford, and a Ph.D. in Theoretical Population Ecology from Imperial College, University of London. Postdoctoral training included studies at UC Santa Barbara, CSIRO Australia, and UC Santa Cruz. Her work integrates ecological theory with practical management, addressing challenges in invasive species control, disease dynamics, and conservation. Key areas include the ecology of outbreaks in disturbed environments, management under uncertainty, and disturbance regime impacts on biodiversity. She leads the Shea Lab, which collaborates on projects involving field studies, computational models, and interdisciplinary approaches. Her research has informed pandemic responses, such as during the COVID-19 crisis, through multi-model decision frameworks. Publications span high-impact journals like *Science*, *PNAS*, and *Ecology*, emphasizing outbreak management, climate effects on species, and ecological modeling. Her lab's contributions include developing strategies for invasive species control and optimizing vaccination strategies during epidemics.

Francesca Beccaceceمشاهده پروفایل

دانشیار

• Quantitative Finance
• Decision Theory
• Risk Theory
• +۷ مورد دیگر

Francesca Beccacece is an Associate Professor of Financial Mathematics at Bocconi University in Milan. She has held leadership roles as Director of the Bachelor of Science in Economics and Management for Arts, Culture, and Communication (2016–2019) and Director of the Master in Quantitative Finance and Risk Management (2008–2010; 2012–2014). Her educational background includes a Degree in Economics from Università di Parma. Her research focuses on Quantitative Finance (financial markets models, asset pricing, term structure models), Decision Theory (benchmarking models in finance), and Risk Theory (default risk modeling). Recent work explores multivariate risk attitudes in sustainability policies and regulatory principles for financial amortization. Earlier studies include applications of functional ANOVA in utility theory and stochastic frameworks for project evaluation. Teaching responsibilities span undergraduate and graduate courses, including Financial Models for Valuation , Mathematics , and Quantitative Methods for Social Sciences . Past courses include Mathematics, Advanced Financial Mathematics, Quantitative Methods for Management, and Fixed Income/Asset Pricing in master programs. Her contributions to academia include curriculum development and editorial work in finance-related journals. She advises on financial modeling and risk strategies, though specific advisees are not listed. No scientific awards were explicitly mentioned in the provided text.

• Energy Economics
• Environmental Policy
• Real Options Analysis
• +۵ مورد دیگر

Verena Hagspiel-Janssen is a Professor at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), within the Faculty of Economics. Her research focuses on energy economics, environmental policy, and real options analysis with applications in resource management and sustainable development. She has published extensively on topics such as green technology investment under policy uncertainty, multi-objective decision-making in energy systems, and risk-sharing mechanisms in oil and gas projects. Her work integrates quantitative methods from operations research and economics to address challenges in energy transition, offshore field development, and aquaculture sustainability. Recent studies include sustainability assessments of offshore platform electrification, optimization of marginal oil field investments, and biodiversity impact assessments in Norwegian aquaculture. Key contributions include frameworks for evaluating subsidy retraction risks, real options applications in circular plastics, and policy-targeted welfare analysis. Her research is disseminated through journals like Energy Economics , European Journal of Operational Research , and Science of the Total Environment . Dr. Hagspiel-Janssen collaborates with industry partners (e.g., oil & gas companies, renewable energy firms) and policymakers to bridge academic insights with real-world decision-making in energy and environmental sectors.

Nemanja Anticمشاهده پروفایل

دانشیار

• Microeconomic Theory
• Political Economy
• Contract Theory
• +۵ مورد دیگر

Nemanja Antic is an Associate Professor of Managerial Economics & Decision Sciences at the Kellogg School of Management, Northwestern University. His research focuses on microeconomic theory and political economy, with emphasis on communication games, mechanism design, contract theory, and public good provision. He holds a PhD in Economics from Princeton University (2015), and prior degrees from institutions including the Australian National University and Queensland University of Technology. Education: Ph.D., 2015, Economics, Princeton University M.A., 2012, Economics, Princeton University M.Sc., 2010, Mathematics, Australian National University B.Bus., 2007, Economics, Queensland University of Technology (1st Class Honours) Research Interests: Antic’s work explores how communication and strategic interactions shape economic outcomes. He examines mechanisms for robust contract design, subversive communication strategies in political contexts, and the role of task clarity in relational contracts. His recent studies include analyses of equity markets, banking regulation, and optimal policy under uncertainty. Editorial Contributions: He serves as a referee for top journals including the Journal of Political Economy, AER Insights, Review of Economic Studies, and others. His editorial work spans microeconomics, political economy, and theoretical economics. Labs & Affiliations: Antic is affiliated with the Kellogg Center for Economic Theory and the MEDS Department. He contributes to academic communities through lectures on economic theory and participation in the Applied Theory Working Group at Kellogg.

Lewis Ntaimoمشاهده پروفایل

استاد

• Stochastic Programming
• Optimization Methods
• Healthcare Operations
• +۶ مورد دیگر

Dr. Lewis Ntaimo is a Professor and Department Head of Industrial & Systems Engineering at Texas A&M University. He holds a Ph.D. in Systems & Industrial Engineering (with a minor in Electrical & Computer Engineering) from the University of Arizona, alongside M.S. and B.S. degrees in Mining Engineering. His research focuses on stochastic programming, optimization methods, and their applications in healthcare, wildfire management, energy systems, and operations research. Notable awards include the Distinguished Educator Award (2022), INFORMS Computing Society Prize (2015), and the Marilyn and L. David Black Faculty Fellowship (2016). He is a Fellow of the Institute of Industrial and Systems Engineers (IISE). Key contributions include developing stochastic models for wildfire risk mitigation, healthcare scheduling under uncertainty, and carbon capture systems. His work bridges simulation and optimization, exemplified by the DEVS-FIRE wildfire modeling framework and the SIPLIB test problem library. Education: Ph.D., Systems & Industrial Engineering, University of Arizona (2004) M.S., Mining & Geological Engineering, University of Arizona (2000) B.S., Mining Engineering, University of Arizona (1998) Grants & Projects: Includes NSF-funded research on wildfire fuel treatment planning, space surveillance scheduling, and wind energy reliability. Labs/Teams: Leads research in stochastic optimization and discrete event simulation, collaborating on interdisciplinary projects with IISE and INFORMS.

Mattias Vesterbergمشاهده پروفایل

دانشیار

• Energy Economics
• Environmental Policy Analysis
• Electricity Market Regulation
• +۳ مورد دیگر

Mattias Vesterberg is an Associate Professor in the Department of Economics at Umeå School of Business, Economics and Statistics (USBE), Umeå University. He holds a Docent qualification and is affiliated with the Centre for Environmental and Resource Economics (CERE). His research focuses on electricity markets, including regulation, consumer behavior, distributed generation, and policy design. Key topics include demand response to pricing schemes, household PV systems, and the interplay between energy policy and industrial labor markets. Notable contributions include analysis of real-time pricing effects, grid efficiency under distributed generation, and the socio-economic impacts of environmental policies. He has been recognized with the USBE Scientific Awards 2019. Current research projects address electrification of transport, demand flexibility in distribution markets, and equity implications of energy transition policies. His work bridges academic research with practical policy recommendations, emphasizing data-driven approaches to energy market challenges. Awards: USBE Scientific Awards 2019 Research Focus: Electricity market regulation, consumer price responsiveness, renewable energy integration, and industrial policy impacts Current Projects: Electrification of private transport and equity considerations (2024–2026) Household reactions to high electricity prices (2022–2023) Grid efficiency in local distribution markets (2022–2026)

• Sustainable Energy Systems
• Numerical Optimization
• Deep Learning
• +۳ مورد دیگر

Dr. Manuel Dahmen is the Head of Department at the Institute of Climate and Energy Systems (ICE-1) within the Research Center Jülich. His research focuses on designing sustainable and cost-efficient energy systems through advanced techniques like numerical optimization and deep learning. Key areas include renewable energy integration, process network analysis, and machine learning-driven system design. His work addresses challenges in decarbonizing industries, optimizing energy systems, and developing tailor-made fuels for high-efficiency engines. Dahmen leads interdisciplinary projects combining computational methods with practical engineering solutions, emphasizing robust design under uncertainty. He contributes to open-source tools like COMANDO for energy systems optimization and explores innovations in graph neural networks for molecular property prediction. Research trends reflected in his publications highlight optimization algorithms (e.g., semi-infinite programming), demand response strategies for industrial processes, and physics-informed machine learning for dynamic systems. Dahmen’s contributions bridge theoretical advancements with real-world applications, aiming to accelerate the transition to sustainable energy systems.

Khatereh Ahadiمشاهده پروفایل

دانشیار

• Operations Research
• Transportation Logistics
• Large-scale Optimization
• +۳ مورد دیگر

Khatereh Ahadi is an Associate Professor of Instruction in the Department of Operations Management at the Jindal School of Management (JSOM), University of Texas at Dallas. She holds a PhD from the University of Arkansas (2018), an MS from Sharif University of Technology (2012), and a BS from Sharif University of Technology (2010). Her research focuses on Applied Operations Research, Transportation Systems, and Large-Scale Optimization, with notable contributions to cellular layout design, maintenance strategies, and big data applications in e-commerce. Professional affiliations include the Institute for Operations Research and the Management Sciences (INFORMS). Her published works span analytical methodologies, optimization algorithms (e.g., Tabu search), and infrastructure resilience. She teaches courses such as Quantitative Business Analysis (OPRE 3333) and Managerial Methods in Decision Making Under Uncertainty (OPRE 3360).

Mingliu Chenمشاهده پروفایل

استادیار

• Market Design
• Mechanism Design
• Operations and Finance Interface
• +۳ مورد دیگر

Mingliu Chen is an Assistant Professor in Operations Management at the Naveen Jindal School of Management, University of Texas at Dallas. Previously, he served as a Lecturer in Discipline and Postdoctoral Researcher at Columbia University's Industrial Engineering and Operations Research Department. He holds a PhD in Decision Sciences from Duke University and dual Bachelor's degrees in Mathematics and Civil & Environmental Engineering from the University of Illinois Urbana-Champaign. His research focuses on market design, mechanism design, operations-finance interface, revenue management, and applied probability. Notable work includes optimizing on-demand delivery systems, dynamic contracts under moral hazard, and emergency service facility reliability. He teaches courses in advanced statistics, managerial decision-making under uncertainty, and business analytics. Teaching experience spans institutions including UTD, Columbia, and Duke, covering optimization models, probability, and business analytics. His research has been published in top journals like Management Science and Operations Research , with multiple working papers under review or invited for conferences.

• Supply chain risk management
• Homeland security games
• Process flexibility
• +۳ مورد دیگر

Yini Gao is an Assistant Professor of Operations Management at the Lee Kong Chian School of Business, Singapore Management University. She holds a dual bachelor's degree in Business Administration and Chemical Engineering from the National University of Singapore (2012) and a Ph.D. in Decision Sciences from NUS (2017). Her research focuses on supply chain risk management, healthcare analytics, and distributionally robust optimization. She has received prestigious awards including the Lee Kong Chian Research Fellowship and multiple Dean's Teaching Honor Lists. Her work spans critical areas such as disruption risk mitigation in global supply chains, healthcare operations optimization (e.g., cancer screening strategies and pandemic response modeling), and strategic decision-making under uncertainty. She has published in top-tier journals like Management Science , Production and Operations Management , and Manufacturing & Service Operations Management . Education: B.A. Business Administration & Chemical Engineering, National University of Singapore (2008-2012) Ph.D. Decision Sciences, National University of Singapore (2013-2017) Dr. Gao’s research portfolio demonstrates expertise in applying advanced optimization techniques to real-world problems, with notable contributions to anti-counterfeiting strategies, inventory management systems, and public health policy design. Her recent work explores the intersection of technology flexibility and subscription-based business models in operations strategy.

• Power System Stability
• Renewable Energy Integration
• Wind Farm Planning
• +۴ مورد دیگر

Dr. Yuchen Zhang is a Lecturer and ARC DECRA Fellow at the School of Electrical Engineering & Robotics, QUT. He holds a PhD in Electrical Engineering from UNSW (2018), alongside Bachelor degrees in Engineering and Commerce. His research focuses on power system stability, renewable energy integration, wind farm planning, smart grid technologies, and AI applications in power engineering. His work bridges interdisciplinary approaches in energy systems and data-driven methodologies. Education: Bachelor of Engineering (2013) Bachelor of Commerce (2013) PhD in Electrical Engineering (2018), UNSW Research Interests: Power system stability assessment and control, grid integration of renewables, wind farm planning, smart grid technologies, smart city infrastructure, and AI-driven system development. Awards: 2020 Best Paper Award for IET Smart Cities for work on smart campus frameworks. Grants & Projects: Leads the ARC-funded project 'Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions' (2024–present), focusing on enhancing power grid resilience through real-time monitoring and control strategies. Teaching: Coordinates courses on renewable energy systems and power systems management. Engages in industry collaborations across renewable energy, maritime services, and IEEE standards development. Future Work: Expanding research into electrified logistics integration, smart city energy systems, and AI-driven emergency control mechanisms for power grids.

Christian O Ewaldمشاهده پروفایل

استاد

• Quantitative Finance
• Risk Management
• Commodities
• +۳ مورد دیگر

Christian O Ewald is a Professor in Financial Economics at the University of Glasgow. He holds additional Research Professorships at the University of Inland Norway and Umeå University in Sweden. His research focuses on Quantitative Finance, Risk Management, Commodities, Derivatives, and Natural Resources. Ewald earned his MSc from the University of Mainz, PhD from the University of Heidelberg, and a Habilitation from the University of Kaiserslautern, all in Germany. Prior roles include positions at the University of Sydney, Nottingham University Business School (China), University College Cork, University of St. Andrews, and the University of Leeds. He has supervised over 20 PhD students, with notable alumni now in academia and finance sectors globally. Ewald's research explores commodity markets (e.g., salmon futures, crude oil), stochastic volatility models, real options, and risk management strategies. His work often integrates advanced mathematical techniques like Malliavin calculus and stochastic optimal control. Notable grants include leadership in the 'Aquarisk' project (NOK 8 million) and a Kempe Foundation grant on longevity risk. Publications span journals such as *Quantitative Finance*, *Journal of Economic Dynamics and Control*, and *Energy Economics*. His contributions address practical challenges like hedging strategies, asset pricing under uncertainty, and environmental risk assessment.