جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۴٬۳۵۳ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Peyman Afzali Gorouhمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Peyman Afzali Gorouh is a Postdoctoral Researcher in the Applied Power Electronic Systems group within the Faculty of Engineering and Science at Aalborg University, Denmark. His research focuses on developing innovative models for energy communities, smart grids, and renewable energy integration. Dr. Afzali's research interests span power engineering, smart grid technologies, renewable energy systems, and energy communities. His work particularly emphasizes prosumer economics, peer-to-peer energy trading, risk modeling in power systems, and energy democracy frameworks. He has developed novel approaches for optimizing energy communities while considering socio-economic-environmental factors, demand response, and uncertainty management. His recent publications (2020-2024) demonstrate a consistent focus on energy community modeling, with particular emphasis on peer-to-peer trading mechanisms, risk-constrained optimization, and multi-objective planning. His work bridges technical power system challenges with socio-economic considerations, creating integrated models that address both engineering and human aspects of modern energy systems. Dr. Afzali maintains an active research profile with numerous publications in high-impact journals including IEEE Transactions on Engineering Management, Energy and Buildings, Applied Sciences, and Sustainable Cities and Society. His research shows strong international collaboration, particularly with researchers from Iranian institutions.

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Andreas Kleinerمشاهده پروفایل

استاد

University of MannheimGermany

Andreas Kleiner is a Professor in the Department of Economics at the University of Bonn. His research focuses on Mechanism Design , Voting Theory , Game Theory , and Political Economy . Research Interests Mechanism Design Voting Theory Game Theory Political Economy Recent Publications (2018-2025) Kleiner's work explores multidimensional delegation with stochastic mechanisms, convex choice properties in mechanism design, and extreme point analysis in fusions. He investigates sequential veto bargaining dynamics, interdependent voting models, and costly verification in resource allocation. His research connects linear programming to monopoly pricing duality and examines historical legislative agenda-setting strategies. Contact Email: andreas.kleiner@uni-bonn.de Email: andykleiner@gmail.com

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Matthias Baitschمشاهده پروفایل

استاد

Bochum University of Applied SciencesGermany

Matthias Baitsch serves as Professor of Construction Informatics and Numerical Methods in the Department of Civil and Environmental Engineering at Bochum University of Applied Sciences, where he concurrently heads the BIM Institute. His academic trajectory includes research assistant and senior engineer roles at Ruhr-University Bochum (2000-2009), academic coordination at the Vietnamese-German University (2009-2012), and an acting professorship at the University of Kassel (2012-2014). His educational foundation comprises: Civil Engineering studies at the University of Dortmund (1991-1997) under the interdisciplinary "Dortmund Model" Doctorate from Ruhr-University Bochum (2003) on geometric imperfection-based optimization of compressive beam structures Professor Baitsch's research integrates computational mechanics with civil engineering practice, specializing in construction informatics, numerical optimization, and high-order finite element methods. His work pioneers distributed optimization frameworks, structural health monitoring for wind energy infrastructure, and BIM-based construction informatics. Key methodological contributions include hp-FEM implementations, parallel optimization algorithms, and mobile structural analysis tools. Analysis of his recent publications reveals three dominant research trajectories: (1) Advanced numerical methods for structural optimization under uncertainty, (2) Health monitoring-driven lifetime prediction for wind turbine systems, and (3) Computational modeling of tunnel environments using viscoacoustic inversion techniques. These threads demonstrate consistent focus on robust numerical implementations and real-world civil engineering applications. As Head of the BIM Institute, he leads institutional efforts in digital construction technologies, fostering industry-academia collaboration on building information modeling standards and applications. His teaching portfolio spans foundational mathematics, numerical methods, and computer science for civil engineering students, emphasizing practical computational skills.

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Jonas Fredrikssonمشاهده پروفایل

استاد

Chalmers University of TechnologySweden

Jonas Fredriksson is a Professor in the Mechatronics research group at the Department of Systems and Control Engineering, Chalmers University of Technology. His work focuses on electric/hybrid vehicles, vehicle dynamics, active safety systems, and optimization-based coordination of automated vehicles. Academic Rank: Professor Affiliation: Chalmers University of Technology Department: Systems and Control Engineering Email: jonas.fredriksson@chalmers.se Research Themes: Powertrain control and energy management for electric/hybrid vehicles Advanced control strategies for heavy articulated vehicles Autonomous driving in confined environments Battery thermal management and charging optimization Vehicle stability and safety systems using Newtonian mechanics Article Trends: Recent publications emphasize 1) optimization algorithms for electric vehicle coordination, 2) aerodynamic modeling under crosswind conditions, 3) stochastic approaches to longitudinal vehicle dynamics, and 4) robust control systems for articulated heavy vehicles. The work combines classical mechanics with modern machine learning techniques. Teaching & Leadership: Supervises doctoral students and leads research projects in mechatronics. Manages the master's program in Systems, Control and Mechatronics. Teaches courses in mechatronics and vehicle control systems.

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George Grossمشاهده پروفایل

استاد

University of Illinois Urbana-ChampaignUnited States

George Gross is a Professor at the University of Illinois and a former leader of CREDC (Center for Reliable and Cyber-secure Power Delivery Systems) research activities, specifically developing frameworks for integrated energy storage resource assessment. His work directly supports critical infrastructure security and grid modernization initiatives. Research focuses on power systems engineering with emphasis on energy storage integration, cybersecurity for power grids, and reliability assessment of cyber-physical energy systems. His conceptual frameworks address challenges in renewable energy adoption, grid resilience, and storage resource optimization within modernized electrical infrastructure. Recent publications examine energy storage assessment methodologies, spanning electrical engineering and energy systems disciplines. Key subfields include grid-scale storage economics, renewable integration stability, resource planning under uncertainty, electricity market design for storage, and security-constrained operational frameworks. Gross contributed significantly to CREDC's mission of advancing secure and reliable power delivery systems through research on integrated storage resources and grid security architectures.

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Lars J. Olsonمشاهده پروفایل

استاد

University of Maryland, College ParkUnited States

Lars J. Olson is a Professor in the Department of Agricultural and Resource Economics at the University of Maryland, College Park , within the College of Agriculture and Natural Resources . His research and teaching focus on the intersection of economics and environmental policy, particularly in the areas of natural resource management, invasive species economics, and uncertainty in environmental decision-making. Education: Ph.D. in Economics (1988), Cornell University M.A. in Economics (1985), Cornell University B.A. in Mathematics and Economics (1981), Eckerd College Research Interests: Professor Olson’s research spans several critical areas of environmental and resource economics. He has made significant contributions to understanding how economic policies can mitigate the risks of invasive species, particularly through trade regulation and phytosanitary standards. His work also delves into the economics of uncertainty, exploring how precautionary principles and dynamic modeling can inform environmental policy. Additionally, he examines the long-term impacts of resource depletion and technological substitution under uncertainty. Publications Overview: His recent publications reflect a strong focus on applied and theoretical environmental economics. Topics include the design of precautionary buffers in environmental policy, the role of tariffs in managing invasive pest risks, and the effectiveness of international phytosanitary standards. These works often combine empirical analysis with theoretical modeling to provide actionable insights for policymakers. Editorial and Review Service: Associate Editor, Journal of Environmental Economics and Management (1996–1999) Editorial Council, Journal of Environmental Economics and Management (1994–1995, 2001–2004) Referee for over 20 leading journals including American Economic Review , Econometrica , and Journal of Public Economics Grant Reviewing: Binational Agricultural Research and Development Fund (BARD) Social Sciences and Humanities Research Council of Canada (SSHRC) National Sea Grant College Program USDA Economic Research Service UC Water Resources Center And others Labs and Teams: While no specific lab is mentioned, Professor Olson is deeply embedded in the academic and policy community through his editorial roles, grant reviewing, and collaborative research across institutions and disciplines.

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Jean-Michel Benkertمشاهده پروفایل

استادیار

University of BernSwitzerland

Jean-Michel Benkert is an Assistant Professor at the Department of Economics, University of Bern . He obtained his PhD in Economics from the University of Zurich in 2017 under the supervision of Nick Netzer and Georg Nöldeke, and has held positions in strategy and innovation within the private sector prior to his academic career. University: University of Bern Department: Department of Economics Education: PhD in Economics from University of Zurich (2017) Email: jean-michel.benkert@unibe.ch Office: A224 Personal Website: jmbenkert.ch Benkert specializes in applied microeconomic theory , with a focus on behavioral economics , industrial organization , and mechanism design . His recent work explores: Strategic learning of product attributes Response time analysis in economic decision-making Reputation mechanisms in digital platforms Innovation dynamics through acquihires and talent hoarding Behavioral aspects of bilateral trade Dynamic research contest design His research integrates psychological insights into traditional economic models, particularly examining how loss aversion and behavioral biases impact market outcomes and information processing. He has published in leading journals including European Economic Review , Journal of Industrial Economics , and Economic Theory . Benkert's publications demonstrate strong connections to: Theory of Mechanism Design in his work on behavioral and disappointment aversion Industrial Organization through studies on startup acquisitions and innovation search Behavioral Economics in his analyses of response times and platform 'likes' Game Theory in dynamic contest design and bilateral trade models Decision Theory through optimal search and nudging frameworks Information Economics in his work on recommendation systems While no formal awards are listed in the available information, Benkert's research output demonstrates significant contributions to his fields of interest. He has collaborated with prominent economists including Nick Netzer , Armin Schmutzler , and Igor Letina across multiple publications.

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Chancellor Johnstoneمشاهده پروفایل

استادیار مدعو

Air Force Institute of TechnologyUnited States

Chancellor Johnstone serves as an Adjunct Assistant Professor at the Air Force Institute of Technology (AFIT), specializing in interdisciplinary research bridging military applications with advanced analytics. His work integrates operations research, statistical modeling, and machine learning to solve complex defense-related challenges. His academic credentials include: PhD in Statistics, Iowa State University, 2020 MS in Operations Research, Air Force Institute of Technology, 2015 BS in Operations Research, United States Air Force Academy, 2013 Dr. Johnstone's research focuses on robust optimization for decision-making under uncertainty, anomaly detection in complex systems, and federated learning frameworks for distributed data environments. His methodology emphasizes conformal prediction for uncertainty quantification and physiology-based classification in human-machine systems, with direct applications to Air Force operations including pilot training, mission planning, and personnel selection. Analysis of his 2021-2024 publications reveals three dominant research trajectories: (1) military logistics optimization incorporating cyber-physical constraints; (2) physiological signal processing using graph neural networks for multi-modal data; and (3) responsible AI development addressing bias in high-stakes military personnel decisions. His work consistently demonstrates translation of theoretical advances—particularly in conformal prediction and federated learning—into operational Air Force contexts.

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Visa Koivunenمشاهده پروفایل

استاد

Aalto UniversityFinland

Visa Koivunen is a Distinguished Professor of Signal Processing at Aalto University (since 1999), with positions as Academy Professor (2010) and Aalto Distinguished Professor (2020). He holds an honorary D.Sc. (Tech.) from the University of Oulu and has held visiting roles at Princeton University, the University of Pennsylvania, and EPFL. His research focuses on statistical signal processing, wireless communications, radar systems, and integrated sensing and communications (ISAC). He has published over 490 papers, including award-winning works, and advised 31 doctoral theses. Key roles include leadership in conferences (e.g., Asilomar 2018 General Chair) and technical committees (IEEE SPS). Recognitions include the EURASIP Technical Achievement Award (2015), IEEE Signal Processing Society Best Paper Awards (2007, 2017), and EURASIP Fellow status (2020). He co-chairs NATO panels on cognitive radars and ISAC. His research interests span signal processing fundamentals and applications in radar, communications, and machine learning. Recent work emphasizes ISAC, reinforcement learning for resource allocation, and causal inference in federated systems. He has pioneered waveform design techniques using GANs and Bayesian methods for spatial signal analysis. Educations: D.Sc. (Tech.) with honors from the University of Oulu (1994), Primus Doctor Award (1989-1994). Awards: IEEE Fellow, EURASIP Fellow, Member of Academia Europaea. Service: Associate Editor for IEEE Transactions, Chair of IEEE SPAWC and Asilomar conferences. His work bridges theory and practice, addressing challenges in radar-communication coexistence, energy-efficient edge computing, and secure distributed inference. He has delivered over 50 invited talks globally and actively contributes to NATO initiatives on cognitive radar systems.

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George Mannمشاهده پروفایل

استاد

Memorial University of NewfoundlandCanada

George Mann is a Professor at Memorial University of Newfoundland's Faculty of Engineering and Applied Science. He holds a B.Sc. in Mechanical Engineering from the University of Moratuwa (Sri Lanka), an M.Sc. in Computer Integrated Manufacturing from Loughborough University (UK), and a Ph.D. in Intelligent Control from Memorial University. His research focuses on intelligent control systems, robotics, and machine vision, with significant contributions to autonomous navigation, sensor fusion, and UAV technologies. He leads the Intelligent Systems Laboratory (ISLAB) and has pioneered work on LiDAR-assisted radar enhancement, multi-robot localization, and exoskeleton control systems. **Education**: B.Sc., Mechanical Engineering, University of Moratuwa (Sri Lanka) M.Sc., Computer Integrated Manufacturing, Loughborough University (UK) Ph.D., Intelligent Control, Memorial University (Canada) **Research Interests**: Dr. Mann’s work spans autonomous systems, UAV navigation, sensor fusion (e.g., LiDAR, radar, INS), and robotics applications in mining, healthcare, and environmental monitoring. His recent projects include developing computationally efficient NMPC algorithms for UAVs and creating robust localization systems for heterogeneous multi-robot networks. **Publications**: His articles emphasize advancements in navigation algorithms, disturbance estimation for multi-rotor stability, and AI-driven sensor integration. Key themes include improving system robustness under uncertainty and optimizing computational efficiency in real-time control. **Labs & Teams**: Director of ISLAB, collaborating on exoskeleton development (e.g., Anthro-X) and UAV plume tracking for environmental sensing. Active in industry partnerships like C-CORE for mining automation.

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Kenneth Backlundمشاهده پروفایل

دانشیار

Umea UniversitySweden

Kenneth Backlund is an Associate Professor at the Department of Economics within the Umeå School of Business, Economics and Statistics (USBE) at Umeå University. His primary affiliation is with the Economics section and he is located at Samhällsvetarhuset, Biblioteksgränd 6, A23701 in Umeå. He holds a recognized university teacher qualification and is actively involved in the Economic Policy Network research group. His research focuses on environmental policy, sustainability frameworks, and welfare economics. Key areas include tax policy design under migration pressures, hyperbolic discounting effects on paternalistic policies, and the role of technology transfers in climate policy. He has extensively studied green taxation mechanisms, public goods provision in heterogeneous economies, and the interplay between nuclear energy policy and differential game theory. Backlund's work frequently integrates quantitative methods with normative policy analysis. His publications span topics from optimal tax systems in unionized labor markets to the theoretical foundations of green accounting in imperfect markets. Notable contributions include analyses of the Clean Development Mechanism's effectiveness and the economic implications of emigration on fiscal frameworks. He has collaborated with institutions like the Edward Elgar Publishing and has contributed to edited volumes such as Handbook Of Environmental Accounting . His research demonstrates a commitment to bridging theoretical economic models with real-world policy challenges in sustainability and public finance. Backlund can be contacted via email at kenneth.backlund@umu.se or via phone at +46 90 786 78 78 for academic inquiries related to his research or teaching activities.

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Negin Enayaty Ahangarمشاهده پروفایل

دانشیار

University of Texas at DallasUnited States

Negin Enayaty Ahangar is an Associate Professor of Instruction in the Department of Operations Management at the Jonsson School of Management (JSOM), University of Texas at Dallas. Her research focuses on network optimization, interdiction, logistics, and statistical quality control. She holds a PhD in Operations Management from the University of Arkansas (2018), an MS (2014) from the same institution, and a BS in Industrial Engineering from Sharif University of Technology (2011). Her educational background includes advanced studies in operations research and industrial engineering. She teaches courses such as Quantitative Business Analysis, Managerial Methods in Decision Making Under Uncertainty, and Advanced Statistics for Data Science. Research interests emphasize solving complex optimization problems in infrastructure systems, facility layout design, and network interdependencies. Her work combines algorithmic design with practical applications in logistics and supply chain management. Recent publications address rail yard routing, multi-floor facility layouts, and multi-layered network modeling. No scientific awards or grants are explicitly mentioned in the provided information. She is affiliated with the Institute for Operations Research and the Management Sciences (INFORMS).

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Ignacio Rios Uribeمشاهده پروفایل

استادیار

University of Texas at DallasUnited States

Ignacio Rios Uribe is an Assistant Professor at the Naveen Jindal School of Management (University of Texas at Dallas) specializing in Operations Management . He holds a PhD in Operations, Information and Technology (2020) from Stanford University, with additional MA in Economics from Stanford and MS/BS in Operations Research and Industrial Engineering from Universidad de Chile. PhD in Operations, Information and Technology (2020) - Stanford University MA in Economics (2020) - Stanford University MS in Operations Management (2014) - Universidad de Chile BS in Industrial Engineering (2014) - Universidad de Chile His research focuses on Behavioral Operations Management , particularly in matching markets , college admissions systems, and online platform optimization . Current projects examine mechanism design for dating apps, strategic behavior in college applications, team-building incentives, and charity donation systems. He employs mathematical modeling, field experiments, and structural estimation techniques. Recent publications analyze platform design for curated dating markets (M&SOM, 2023), stable matching with contingent priorities (Management Science, 2023), and capacity planning in school choice (Operations Research, 2022). His work combines theoretical analysis with empirical validation using real-world data from Chilean education systems and industry partners. Awards include First Place in Doing Good with Good OR (2018) and BOM Best Working Paper Competition (2023) Published in top journals like Management Science, M&SOM, Operations Research Professional affiliations with INFORMS and Manufacturing & Service Operations Management Society

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Jiahua Wuمشاهده پروفایل

دانشیار

Imperial College LondonUnited Kingdom

Dr. Jiahua Wu is an Associate Professor of Operations at the Department of Analytics, Marketing and Operations within Imperial College Business School, Imperial College London. His research focuses on designing incentives such as pricing and information systems to enhance operational efficiency in fair and transparent ways, particularly in platforms, supply chains, and the sharing economy. He holds a PhD in Operations Management from the Rotman School of Management (University of Toronto), an MSc in Electrical and Computer Engineering from the University of Toronto, and a BEng in Electronic Engineering from Tsinghua University. Education: PhD in Operations Management, Rotman School of Management, University of Toronto MSc in Electrical and Computer Engineering, University of Toronto BEng in Electronic Engineering, Tsinghua University His research interests span platform operations, revenue management, mechanism design, and applied mathematics. Recent work includes studies on auction design with predictions, supply chain coordination, and crowdfunding mechanisms. He actively seeks motivated PhD candidates and research assistants with strong mathematical backgrounds. His research bridges operational challenges with strategic decision-making in dynamic markets, addressing issues like pricing under uncertainty and social influence effects.

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Joachim Artsمشاهده پروفایل

استاد

University of LuxembourgLuxembourg

Joachim Arts is a Full Professor at the University of Luxembourg in the Faculty of Law, Economics and Finance , Department of Economics and Management. He is affiliated with the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and holds visiting positions at MIT Sloan School of Management and Eindhoven University of Technology. His research focuses on operations research applications in supply chain management, logistics, maintenance optimization, and business analytics, often collaborating with companies like ASML and Philips. He has published extensively in top journals such as Operations Research and European Journal of Operational Research . Dr. Arts holds a European Doctoral Dissertation Award (EURO) and a Veni Career Grant from the Netherlands. His work emphasizes practical applications, including inventory systems, maintenance scheduling, and sustainability in supply chains. He previously served as an Assistant Professor at TU Eindhoven and a visiting scholar at MIT. His research bridges theoretical models with real-world industry challenges. Awards : European Doctoral Dissertation Award (201?), Veni Career Grant (201?) Visiting Appointments : MIT Sloan, TU Eindhoven Key Focus Areas : Lost sales inventory systems, condition-based maintenance, green logistics, and service parts optimization His recent work explores profitability-sustainability trade-offs in chemical value chains and dynamic supply mode selection for emission reduction. He leads initiatives in data-driven maintenance strategies and multi-echelon inventory systems.

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