جستجوی استاد راهنمای دانشگاهی

Xiaomei Yangمشاهده پروفایل

مدرس

• Soil Contamination
• Environmental Monitoring
• Microplastic Fate
• +۵ مورد دیگر

Xiaomei Yang is a Lecturer/Researcher at the Soil Physics and Land Management Group of Wageningen University & Research, focusing on soil contaminants including pesticides and microplastics. Her work examines contaminant interactions with soil processes, their environmental fate, and impacts on soil-water-plant systems. She actively contributes to the International Land and Water Management Program (BSc/MSc), mentoring students in thesis research and internships. Key Projects: MINAGRIS: Investigating microplastic sources, fate, and ecosystem impacts in agricultural soils. ISQAPER: Developing interactive soil quality assessments for Europe and China. Soils4Africa: Creating an open-access soil information system for African agricultural resilience. Research Themes: Soil management, ecotoxicology, environmental monitoring, and agroecosystem sustainability. Specific interests include pesticide transport dynamics, microplastic behavior, and ecological risk assessment in agricultural systems. Achievements: Clarivate Highly Cited Scientist (2023) Top 2% Global Scientists (Elsevier/Stanford, 2024) Lead researcher on EU-China collaborative projects (e.g., ISQAPER) Teaching: Oversees MSc thesis supervision, internships, and courses like Sustainable Soil Management: Soil4Life and Land Degradation and Remediation .

Demetrios M. Cotsovosمشاهده پروفایل

دانشیار

• Structural Engineering
• Concrete Behavior
• Finite Element Analysis
• +۵ مورد دیگر

Demetrios M. Cotsovos is an Associate Professor at the School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University. His research focuses on structural concrete behavior under static and dynamic loads, including seismic, impact, and blast scenarios. He holds a PhD from Imperial College London (2005 Unwin Award) and has extensive experience in numerical modeling, experimental testing, and structural assessment. Education: PhD in Civil and Environmental Engineering (Imperial College London), MSc in Structural Design and Analysis (National Technical University of Athens), BEng in Civil Engineering (University of Patras). Research interests include: constitutive modeling of structural materials, nonlinear finite element analysis, fiber-reinforced concrete performance, and seismic design methodologies. Notable contributions involve developing FE tools for predicting structural responses under high-rate loading and investigating the impact of steel fibers and infill walls on structural integrity. He manages specialized equipment such as drop-test rigs and high-capacity load frames (up to 3000kN). Awards include the 2005 Unwin Award for doctoral research. His work aligns with UN Sustainable Development Goals related to resilient infrastructure and climate action. Collaborations include projects on railway infrastructure dynamics and litigation support for structural integrity assessments. He has supervised multiple research projects and contributed to international conferences, producing over 70 peer-reviewed publications.

Fredrik N G Anderssonمشاهده پروفایل

دانشیار

• Macroeconomics
• Climate Policy
• Environmental Economics
• +۴ مورد دیگر

Fredrik N G Andersson is an Associate Professor at the Department of Economics, Lund University School of Economics and Management. His research focuses on macroeconomics, climate policy, environmental economics, fiscal policy, and economic history. He is a profile area member of the Lund University 'Nature-based future solutions' initiative. His research interests include analyzing the intersection of economic policies with climate change, inequality, and historical socioeconomic trends. Notable areas of work include the impact of fiscal frameworks, monetary policy effectiveness, and corporate climate adaptation strategies. He has contributed to over 160 publications, including peer-reviewed articles, policy reports, and consultations for Swedish governmental bodies. Key themes in his recent work include decarbonization pathways, pandemic policy evaluations (e.g., Sweden's lockdown strategies), and the implications of climate policies for industries. His work often bridges theoretical economics with practical policy design, emphasizing evidence-based decision-making. Andersson has advised on major policy reforms, such as evaluations of the Swedish fiscal framework and central bank policies. He frequently engages in public discourse through newspapers like Svenska Dagbladet and Dagens Industri, discussing topics like inflation targeting, climate neutrality, and industrial policy.

Hyuck M. Kwonمشاهده پروفایل

استاد

• Wireless Mobile Communications
• Communication Systems
• Information Theory
• +۶ مورد دیگر

Hyuck M. Kwon is a Full Professor of Electrical and Computer Engineering at Wichita State University (WSU), part of the College of Engineering. His research focuses on wireless communications, including satellite systems, smart antennas, MIMO, and CDMA. He has held academic appointments since 1985, including visiting roles at institutions like KAIST and George Mason University. Kwon has supervised numerous PhD and MS students and has been recognized with prestigious awards, including the Dwane and Velma Wallace Outstanding Educator Award. His work spans over 100 publications and grants from agencies like the Air Force and NASA. He has developed courses such as '5G Wireless Communications' and 'Information Theory'. Education: Ph.D. in Computer, Information and Control Engineering, University of Michigan (1984) MSEE, Seoul National University (1980) BSEE, Seoul National University (1978) Research Interests: Wireless communications and networks Smart antennas and MIMO systems 5G/6G technologies Signal processing for communications Anti-jamming and secure communications Grants and Awards: Over $2M in research funding from the Air Force, NASA, and industry partners Awarded multiple Air Force Summer Faculty Fellowships (2014–2016) Nominated for NAI Fellow (2017) Lab/Teams: Active in developing advanced communication systems, including satellite digital beamforming and nano-antenna research with metamaterials.

• Internal Medicine
• Clinical Quality Improvement
• Cardiovascular Disease Management
• +۳ مورد دیگر

Margaret Izabella Chustecki is an Associate Clinical Professor at the Yale School of Medicine's Department of Internal Medicine. She obtained her MD from Warsaw Medical School (1988) and an MBA from the Yale School of Management (2009). Her clinical practice focuses on improving healthcare efficiency through quality programs achieving NCQA accreditation and implementing initiatives like Meaningful Use and PQRS. She coordinates medical education for trainees while maintaining an active clinical practice. Education: MD - Warsaw Medical School (1988), MBA - Yale School of Management (2009) Clinical Experience: Extensive inpatient/outpatient internal medicine, hospitalist service leadership Practice Management: Founded Internal Medicine of Greater New Haven in 2003 Her research interests center on cardiovascular disease management, diabetes therapies, and healthcare quality improvement. She has led over 30 clinical trials evaluating treatments for cardiovascular conditions, diabetes, COPD, migraines, and osteoarthritis. Key areas of investigation include statin efficacy, anticoagulant therapies, and novel diabetes medications. Dr. Chustecki's clinical trials portfolio demonstrates expertise in cardiology, endocrinology, and gastroenterology. Recent studies focus on residual cardiovascular risk reduction, type 2 diabetes combination therapies, and migraine treatment innovations. Her work bridges clinical practice improvements with rigorous evidence-based research. Teaching contributions include supervising Yale medical students, PA trainees, and residents in both hospital and ambulatory settings. She actively participates in medical education program development and interprofessional team coordination. Labs/Teams: Collaborates with Yale New Haven Hospital teams in clinical trial execution and quality improvement initiatives.

• Virtual Reality
• Secure Data Search
• Human-Computer Interaction
• +۲ مورد دیگر

Jason C. Woodworth is a researcher affiliated with the University of Louisiana at Lafayette, LA, USA. His work primarily focuses on Virtual Reality (VR) and Secure Data Search technologies. Through extensive collaborations, he has explored innovative applications of VR in education, emotion tracking, and cross-reality interfaces, while contributing to methods for secure semantic search over encrypted cloud data. Research Interests: VR for attention guidance, emotion recognition in immersive environments, collaborative VR tools, and secure search architectures. Publication Trends: His recent studies emphasize Visual Cues in VR for attention management, Transformer-based Emotion Recognition , and Time-Continuous Emotion Rating systems. Collaborations: Frequent co-authorship with Christoph W. Borst and Mohsen Amini Salehi, indicating strong partnerships in VR and cybersecurity domains. Contributions: Pioneering work in Teacher-Guided Educational VR , Avatar Redirection for cross-reality communication, and privacy-preserving Secure Semantic Search frameworks.

Steven Brakmanمشاهده پروفایل

استاد

• International Economics
• Globalization
• International Trade
• +۷ مورد دیگر

Steven Brakman is a Professor at the Faculty of Economics and Business, specializing in Global Economics & Management at the University of Groningen. He holds positions as Research Fellow at the CESifo Institute and Academic Partner at the CPB Netherlands Bureau for Economic Policy Analysis. His expertise spans International Economics, Regional Economics, and Globalization dynamics. Brakman has contributed extensively to understanding trade patterns, agglomeration effects, and the economic impacts of geopolitical events like Brexit. He earned his PhD (cum laude) in Economics from Groningen in 1991, with a dissertation on trade flow modeling. His career includes roles as Assistant Professor (1988–1996), Associate Professor (1996–2002), and has held visiting scholar positions at institutions like Yale University and Cambridge University. Brakman’s research addresses contemporary issues such as demographic shifts, global trade resilience, and the interplay between technology and employment. He serves as Managing Editor of the Journal of Regional Science and has advised numerous organizations, including the Dutch Ministry of Economic Affairs. Education: Bachelor's in Economics, University of Groningen (1981, cum laude) PhD in Economics, University of Groningen (1991) Research Interests: Brakman focuses on international trade theory, economic agglomeration, and the macroeconomic implications of globalization. Recent work examines demographic trends' impact on global trade and income distribution, resilience in manufacturing networks, and the post-Brexit economic landscape. His studies often combine empirical analysis with policy-oriented insights. Publications: Over 190 peer-reviewed articles and books, including influential works on Brexit's trade effects, comparative advantages of cities, and the role of supply chains in economic resilience. Achievements: Recognized for contributions to economic geography and international trade modeling, with widespread media commentary on global economic issues.

Vadim Karatayevمشاهده پروفایل

استادیار

• Ecosystem Resilience
• Community Ecology
• Landscape Ecology
• +۵ مورد دیگر

Vadim Karatayev is the William J. Higgins Assistant Professor of Biology at the University of Maryland. His research integrates ecological theory with large-scale field data to study resilience in complex ecosystems, focusing on community ecology, landscape ecology, and network dynamics. He explores critical questions at the intersection of ecological stability and climate change impacts. His work emphasizes spatial synchrony mechanisms, invasive species management, and the role of behavioral dynamics in regulating ecosystem states. Recent projects include analyzing how climate change amplifies synchrony in marine systems and evaluating the cascading effects of resource subsidies across ecosystems. Research interests: Ecosystem resilience, alternative stable states, spatial synchrony, climate change mitigation strategies Key contributions: Quantitative frameworks for understanding biodiversity loss from invasions and habitat degradation Lab affiliation: Resilience Lab (https://resiliencelab.github.io/) Publications span high-impact journals like Ecology Letters and Proceedings of the National Academy of Sciences. His interdisciplinary approach bridges ecological theory with practical conservation challenges, including pandemic response modeling and climate policy analysis.

Donggyu Sulمشاهده پروفایل

استاد

• Panel Data Econometrics
• Empirical Growth
• International Finance
• +۳ مورد دیگر

Dr. Donggyu Sul is the John F. Kain Professor of Economics at the University of Texas at Dallas (UT Dallas), within the School of Economic, Political and Policy Sciences. His research focuses on panel data econometrics, empirical growth, and international finance. He earned his Ph.D. in Economics from The Ohio State University (1992) and a B.S. in Economics from Korea University (1988). His career includes roles at the University of Auckland and research economist positions in Korea. Key research interests include panel data methodologies, economic growth analysis, and financial econometrics. He has contributed to advancements in factor models, convergence testing, and dynamic panel estimation. Notable publications include work on X-differencing, terrorism drivers, and common factor identification in exchange rates. Professional Preparation: Ph.D., Economics, The Ohio State University, 1992 B.S., Economics, Korea University, 1988 Awards: 2019 Maekyung-KAEA Economist Award for contributions to economic research Professional Activities: General Secretary of Korea-American Economic Association Co-editor of International Economic Journal Past associate editor of New Zealand Economic Papers Grants & Collaborations: Extensive collaboration with Peter C.B. Phillips on econometric theory and panel data methods. Labs/Teams: Active in organizing the Korean Econometric Camp and New Zealand Econometric Study Group. His work bridges theoretical econometrics and applied research, emphasizing robust estimation techniques and policy-relevant insights, particularly in growth disparities and financial markets.

• Numerical Methods
• Partial Differential Equations
• Computational Mathematics
• +۳ مورد دیگر

Francisco Manuel Bernal Martínez is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His research focuses on numerical methods, partial differential equations, and computational mathematics, with applications in industrial engineering and materials science. He leads projects such as 'Financiación adicional 5º año (2022)' and collaborates on initiatives like 'Clustering Automático de Comportamientos de Invertebrados en Libertad mediante Imagen 3D.' His work emphasizes domain decomposition algorithms, radial basis functions, and stochastic control problems. He has advised at least one PhD thesis and holds grants from regional and national funding bodies. Key research interests include meshless methods, probabilistic domain decomposition, and uncertainty quantification in energy systems. Recent publications highlight advancements in hybrid algorithms for large-scale PDEs and volatility modeling. Bernal Martínez actively participates in academic networks and has presented at international conferences on computational methods and industrial mathematics.

Evzen Kocendaمشاهده پروفایل

استاد

• Applied Economics
• Econometrics
• Transition Economics
• +۴ مورد دیگر

Evžen Kočenda is a Professor of Economics at the Institute of Economic Studies , Charles University, Prague, where he chairs the Department of Finance and directs doctoral studies. He also serves as a Senior Researcher at the Department of Econometrics, Institute of Information Theory and Automation, Prague, and has held academic roles at CERGE-EI and the Economics Institute of the Czech Academy of Sciences. His work spans applied econometrics, international finance, and European integration, with a focus on banking, corporate governance, and macroeconomic dynamics. Education: Ph.D. in Economics, University of Houston (1996) M.A. in Economics, University of Toledo (1992) International Trade Management, Prague School of Economics (1985) Research interests include: Applied econometrics and nonlinear modeling techniques. European integration and transition economies. Monetary policy, financial markets, and systemic risk. Corporate performance, governance, and financial stability. Publication trends reflect his expertise in econometric analysis of banking systems, ECB policy impacts, and firm survival in emerging markets. Key topics include cross-market connectedness (oil/forex), inflation persistence, and financial regulation. Scientific awards: Donatio Universitatis Carolinae (2019) Czech Science Foundation's Presidential Award (2009) Additional roles include scientific advisory at CESifo, IOS Regensburg, and EABCN, along with editorial leadership for journals like the Czech Journal of Finance and Economics and Eastern European Economics . He has contributed to policy and research for institutions such as the European Commission, World Bank, and Czech National Bank.

Filippo Malandraمشاهده پروفایل

استادیار

• Internet of Things
• Wireless Communications
• 5G/4G Cellular Networks
• +۴ مورد دیگر

Filippo Malandra is an Assistant Professor in the Department of Electrical Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on Internet of Things (IoT), wireless communications, 5G/4G cellular networks, network performance analysis, smart grid communications, optimization, and machine learning applications. PhD in Electrical Engineering from École Polytechnique de Montréal Master of Engineering in Telecommunications Engineering from Politecnico di Milano Bachelor of Engineering in Telecommunications Engineering from Politecnico di Milano His research interests include experimental testbed development for 5G-enabled smart grids, analytical modeling of cellular network delays, and machine learning frameworks for optimizing network performance under environmental factors. He has contributed to tools like WTTool for 5G network simulation and PeRF-Mesh for RF-mesh network analysis. Recent work emphasizes 5G testbed experimentation (e.g., ExTODS), weather-based signal prediction, and CBRS spectrum analysis. He has explored synergies between federated learning and O-RAN architectures for elastic network services. Active service roles include TPC Member for IEEE SECON 2019 and reviewer for IEEE journals and conferences like DRCN. Recipient of NSF CRII grant (2021) for CNS research on IoT-aware dynamic spectrum sharing. Collaborates on projects like UBSpot (aerial-ground wireless networks) and smartDESC (distributed energy storage control).

Nico Palleitمشاهده پروفایل

پژوهشگر

• MIMO Communication Systems
• Channel Estimation
• Signal Processing
• +۳ مورد دیگر

Dr.-Ing. Nico Palleit is affiliated with the University of Rostock's Institute of Communications Engineering, part of the Faculty of Computer Science and Electrical Engineering. His research focuses on MIMO (Multiple-Input Multiple-Output) systems, channel estimation, and prediction techniques to enhance spectral efficiency. He holds a PhD titled Channel Prediction in Multi-Antenna Systems (2011) and has contributed to advancements in MIMO channel analysis, including frequency/time prediction and interference management. Research Interests: Nico's work addresses challenges in modern radio transmission systems, emphasizing the development of robust channel estimation strategies. Key areas include MIMO channel modeling, non-line-of-sight (NLOS) positioning, and optimizing transmitter-side channel state information. His research bridges theoretical frameworks with practical implementations in wireless communication systems. Publications Overview: His 15+ publications (2006–2012) span topics like MIMO channel prediction, antenna array design, and interference channel optimization. Recent work emphasizes frequency/time-domain channel prediction and power allocation strategies for maximizing system capacity. These contributions highlight interdisciplinary approaches combining signal processing with electrical engineering principles. Affiliations & Labs: As part of the Radio Communication Research Group, he collaborates on projects within the Institute's advanced wireless communication initiatives. His work supports next-generation radio systems through innovative solutions for MIMO-FDD and OFDM-based architectures.

Matthieu van der Heijdenمشاهده پروفایل

دانشیار

• Operations Research
• Supply Chain Management
• Inventory Management
• +۷ مورد دیگر

Matthieu van der Heijden is an Associate Professor in the Department of Industrial Engineering & Business Information Systems at Eindhoven University of Technology, and affiliated with the Digital Society Institute. His research focuses on operations research and supply chain management, particularly in inventory systems, after-sales services, maintenance, and transportation logistics. Research Interests: Operations Research and Optimization Supply Chain and Inventory Management After-Sales Service Logistics Maintenance and Asset Management Service Control Towers and Planning Systems Digitalization in Service Operations His recent publications (2021–2025) emphasize dual sourcing strategies, spare parts logistics using additive manufacturing, collaborative planning in service upgrades, and operational heuristics in service control towers. These works reflect a strong applied focus on improving efficiency, resilience, and cost-effectiveness in complex service and supply networks. Scientific Awards: NGOR/DGOR award for best MSc thesis in Operations Research (1986) Rabobank award for best thesis in Economics and Econometrics at VU Amsterdam (1986) Teacher of the Year Award, Industrial Engineering and Management (2017) Advising and Grants: He has supervised at least 7 academic works, indicating active mentorship in graduate research. While specific grants are not listed, his sustained publication record and applied research suggest involvement in funded collaborative and industry-linked projects. Labs and Teams: He is associated with research in the Digital Society Institute, indicating engagement with interdisciplinary teams focused on digital transformation in societal and industrial systems.

Anna Brunströmمشاهده پروفایل

استاد

• Computer Networking
• Internet Architectures
• 5G/6G Mobile Systems
• +۳ مورد دیگر

Anna Brunström is a Full Professor and Head of the Distributed Intelligent Systems and Communications Research Group (DISCO) at Karlstad University's Department of Computer Science. She holds a part-time role as a Researcher at the University of Malaga's Institute of Software Engineering and Technologies (ITIS). Her research focuses on computer networking, Internet architectures, low latency communication, and 5G/6G mobile systems. She leads the nationally funded DRIVE initiative and collaborates on European projects like 6G-PATH. She actively contributes to IETF standardization, notably as a former rmcat WG chair. Her work spans over 200 publications, emphasizing network measurement, latency optimization, and multipath protocols. Education: Ph.D. (1996) and M.Sc. (1993) from College of William & Mary, B.Sc. (1991) from Pepperdine University. Research Interests: Distributed systems, IoT networking (NB-IoT), satellite communication (Starlink), machine learning for positioning, and transport protocols (QUIC, MPTCP). Recent work includes latency-aware scheduling, 5G/6G performance analysis, and edge computing frameworks. Publications highlight trends in: 1) Satellite network throughput modeling, 2) 5G/6G architecture validation, 3) Machine learning applications for positioning and network analysis, 4) Cross-layer optimization of latency-critical services. Collaborations with industry and academia drive applied research in smart grids, healthcare, and automotive communication. Labs/Teams: DISCO group at Karlstad University, leading the DRIVE research profile and 6G-PATH consortium involvement.