جست‌وجوی استاد و پژوهشگر

Ram Natarajanمشاهده پروفایل

دانشیار

• Managerial Accounting
• Efficiency Analysis
• Contracting Mechanisms
• +۵ مورد دیگر

Ram Natarajan is an Associate Professor of Accounting at the Jonsson School of Management (JSOM), University of Texas at Dallas (UT Dallas). His research focuses on managerial accounting, efficiency analysis, executive compensation, and the application of data envelopment analysis (DEA) in evaluating organizational performance. He holds a PhD from the University of Pennsylvania (1992), a Post-graduate diploma from the Indian Institute of Management (1982), and a BTech from the Indian Institute of Technology (1980). His research interests include contracting mechanisms, performance evaluation, productivity growth, and the impact of managerial incentives on organizational outcomes. Notable areas of study involve the effectiveness of SG&A expenditure in creating long-term value, the role of clawback provisions in corporate governance, and the use of DEA for statistical hypothesis testing in productivity analysis. He has been recognized with the Arthur Andersen Junior Faculty Teaching and Research Fellowship (1997-98) and was a nominee for the Chancellor’s Council Outstanding Teaching Award at UT Dallas (2000-01). His work bridges accounting, operations research, and economics, addressing practical issues in managerial decision-making and organizational efficiency. Education: PhD, University of Pennsylvania, 1992 Post-graduate diploma, Indian Institute of Management, India, 1982 BTech, Indian Institute of Technology, India, 1980 His articles often explore the intersection of accounting practices and organizational performance, with recent trends emphasizing DEA methodologies, incentive contracts, and the valuation of intangible assets. His research has been published in leading journals and has contributed to both academic discourse and practical managerial strategies. Awards: Nominee, Chancellor’s Council Outstanding Teaching Award, UT Dallas (2000-01) Arthur Andersen Junior Faculty Teaching and Research Fellowship (1997-98) Prof. Natarajan’s work also involves collaborations with professional organizations like the American Accounting Association and INFORMS. His teaching includes courses such as Managerial Accounting (ACCT 6202) and Analytical Research in Accounting and Economics (ACCT 7333), reflecting his commitment to both research and pedagogy.

Yanzhi Zhangمشاهده پروفایل

استاد

• Fractional Partial Differential Equations (PDEs)
• Scientific Computing
• Numerical Analysis
• +۶ مورد دیگر

Dr. Yanzhi Zhang is a Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (Missouri S&T), where she has held academic positions since 2010. She earned a Ph.D. in Mathematics from the National University of Singapore and a B.Sc. in Applied Mathematics (with a Computer Science minor) from Chongqing University. Her research spans computational and applied mathematics, focusing on fractional PDEs, nonlocal models, machine learning applications in materials science and business, Bose-Einstein superfluids, and seismic wave inversion. Dr. Zhang has been awarded the Faculty Excellence Award from Missouri S&T and other accolades. Her work is supported by grants from the National Science Foundation, including projects on fractional viscoacoustic wave equations, Bose-Einstein superfluids, and dispersive wave equations. She advises Ph.D. students in interdisciplinary research, such as Yumeng Wang (machine learning for eye-tracking data) and Yixuan Wu (seismic inversion). Her research integrates mathematical rigor with computational innovation, addressing real-world challenges in geophysics, materials science, and business analytics. Collaborations with industry and academia enhance her contributions to data-driven modeling and open-source strategies for digital transformation.

Lance Saundersمشاهده پروفایل

استاد

• Supply Chain Management
• Operations Management
• Sustainability in Logistics
• +۳ مورد دیگر

Lance Saunders is the Jerry & Suzanne Ratledge Professor of Supply Chain Management and Vallett Family Faculty Fellow at the University of Tennessee's Haslam College of Business. He holds a joint affiliation with the Supply Chain Management Center and the Global Supply Chain Institute. His academic journey includes a Ph.D. in Management Systems from Virginia Tech (2013), alongside earlier degrees from the University of Tennessee: a B.S. and M.S. in Industrial Engineering, and an MBA in New Product Development/Integrated Value Chain Management (2001–2003). Research interests focus on supply chain resilience, sustainability, product variety optimization, and operational agility. His work addresses challenges in logistics, environmental partnerships, and pandemic-driven risk mitigation. Recent studies explore driver engagement in rideshare/delivery sectors and closed-loop supply chains in automotive industries. Publications highlight trends in empirical methodologies, demand planning biases, and the interplay between corporate strategy and freight emissions. Media contributions include insights on supply chain disruptions, tariff impacts, and safety in construction sectors. Awards include the Vallett Family Faculty Fellowship, recognizing his scholarly contributions. Advising and grant details are currently unavailable, but his leadership in the Global Supply Chain Institute underscores collaborative research efforts. His expertise bridges academic rigor and real-world applications, as seen in media features addressing consumer and industry concerns.

John N Friedmanمشاهده پروفایل

استاد

• Public Economics
• Labor Economics
• Education Policy
• +۴ مورد دیگر

John N Friedman is the Briger Family Distinguished Professor of Economics and Dean of International and Public Affairs at Brown University. He holds dual appointments in the Department of Economics and the School of International and Public Affairs. Friedman earned his AB, AM, and PhD in Economics from Harvard University between 2002 and 2007. His research focuses on leveraging large datasets to address critical questions in public policy, education economics, labor markets, and political institutions. He has pioneered methodologies to measure long-term impacts of educational interventions, teacher effectiveness, and tax policies. Friedman’s work often bridges theoretical econometric frameworks with real-world policy evaluation, emphasizing causal inference and empirical rigor. Research interests include the evaluation of social policies, taxation mechanisms, and political systems. Notably, his studies on kindergarten classroom impacts, teacher value-added metrics, and retirement savings behavior have shaped policy debates. At Brown, he teaches courses on big data applications in economics and statistics for public policy. Friedman collaborates extensively with institutions like Denmark’s tax authorities and the English National Health Service to analyze systemic policy effects. His advisory role as Dean underscores his commitment to international public affairs and academic governance.

Xi Jiangمشاهده پروفایل

استاد

• Sustainable Energy Engineering
• Thermofluid Modelling and Simulation
• Combustion Science
• +۱۳ مورد دیگر

Professor Xi Jiang is a Professor of Mechanical Engineering at the School of Engineering and Materials Science, Queen Mary University of London (QMUL). He leads research in thermofluid modelling and simulation for sustainable energy utilisation, with a focus on cleaner combustion, carbon storage, and thermal management. He has previously held academic positions at Lancaster University, Brunel University, and international institutions, and currently leads an active research group funded by EPSRC, EU, and industry. Research Interests: His expertise lies in applying advanced computational methods to sustainable energy challenges. Key areas include: Thermofluid modelling for clean combustion of alternative fuels Molecular dynamics and machine learning for fuel property prediction Geological carbon storage and CO₂ sequestration Thermal management in batteries and computing systems Digital twin development for marine engine decarbonisation High-performance computing (HPC) applications in energy systems His recent publications show a strong trend toward integrating machine learning with molecular dynamics and combustion simulation to accelerate the design of low-carbon fuels and reduce emissions. The research spans scales from nanoscale molecular interactions to field-scale geological processes. Scientific Awards: Gaydon Prize, Combustion Institute (British Section) Editorial and Professional Roles: Subject Editor, International Journal of Computer Mathematics ; Editor, Nature Scientific Reports ; EPSRC Peer Review College Member. He has served on various research assessment panels and conference organising committees. Advising and Grants: Professor Jiang supervises multiple PhD students working on topics including ammonia combustion, molecular dynamics of biofuels, and digital twins. His research is supported by significant grants, including a current £436,930 EPSRC project on synthetic fuels for difficult-to-decarbonise transport. Previous funding includes projects from EPSRC, EU, and Royal Society. Laboratory and Research Group: He leads a computational research group specialising in high-fidelity simulations using HPC. The group focuses on cross-cutting themes of net zero, digital design, and data-driven energy solutions.

• Bilingualism
• Cognitive Neuroscience
• Neuroplasticity
• +۳ مورد دیگر

Professor Vincent DeLuca holds a faculty position at UiT The Arctic University of Norway , specifically in the Department of Language and Culture within the Faculty of Humanities, Social Sciences and Education . He serves as Leader of the C-LaBL Brain Domain , leading interdisciplinary research initiatives. His academic rank is Professor of English Language . His research focuses on understanding how bilingual and multilingual experiences shape brain structure, function, and cognitive processes across the lifespan. Key areas include: Neuroplasticity mechanisms underlying language acquisition and control Effects of multilingualism on aging-related cognitive decline Individual differences in bilingual experience and their neural correlates He is affiliated with the C-LaBL and AcqVA Aurora research groups, and leads projects such as the MIND-MAP Project exploring multilingualism and cognitive aging. His work integrates neuroimaging, behavioral studies, and computational models. Key contributions include redefining bilingualism as a spectrum of experiences influencing brain adaptations, and demonstrating how multilingual engagement modulates resting-state neural activity. Recently, his team has investigated third language (L3) development using artificial grammar paradigms and EEG. He collaborates globally with institutions like the University of Reading (Christos Pliatsikas) and the University of Trento (Jubin Abutalebi). His research has been published in journals like NeuroImage , Cerebral Cortex , and PNAS .

Fernando Castedo Doradoمشاهده پروفایل

دانشیار

• Forest Ecology
• Environmental Science
• Biological Modeling
• +۳ مورد دیگر

Fernando Castedo Dorado is a University Associate Professor in the Department of Engineering and Agricultural Sciences at the School of Agricultural and Forestry Engineering, University of León. He holds a PhD in Forestry Engineering from Universidade de Santiago de Compostela (2004). Academic Background : Technical Forestry Engineer (1996) Forestry Engineer (1999) Doctorate in Forestry Engineering (2004) Research Focus : His work centers on biotic/abiotic risk modeling in forest ecosystems, including: Forest fuel dynamics (canopy/ground) and fire severity Growth loss from invasive pests (e.g., Asian chestnut gall wasp) Climate-productivity relationships in eucalyptus and pine stands IoT-based forest health monitoring Article Trends : Recent publications emphasize invasive pest interactions, climate change impacts on forest productivity, fuel load modeling using LiDAR/Sentinel-2, and citizen science applications for damage reporting. Professional Roles : Currently coordinates the interuniversity MasterFUEGO program in forest fires. Previously held teaching roles at the University of León (2002-2008). International Experience : Conducted postdoctoral research at: USDA Forest Service (2004) Georg-August-Universität Göttingen (2005) Universidade de Trás-Os-Montes (2011) Universidad de La Plata (2023) Research Groups : Active member of DRACONES (modeling complex forest environments) and collaborator with UXAFORES at Universidade de Santiago de Compostela.

• Financial Management
• International Finance
• Strategic Financial Management
• +۳ مورد دیگر

Dr. Fatma Kose is an Assistant Professor in the Department of Business Administration at Kütahya Dumlupınar University, specializing in Accounting and Finance within the Faculty of Economics and Administrative Sciences. She holds a PhD from Kütahya Dumlupınar University (2015–2020), a Master's degree in Business Administration (Accounting-Finance) from Dumlupınar University (2012–2015), and a Bachelor's degree in Business Administration from Eskisehir Osmangazi University (2008–2012). She has been actively involved in academic roles since 2013, including Research Assistant (2013–2020), Research Assistant Dr. (2020–2023), and Assistant Professor (2023–present). Her research focuses on financial management, international finance, strategic financial management, and behavioral finance. Key areas include market efficiency analysis, financial performance evaluation using grey relational analysis, and SWOT analysis of energy markets. She has authored/co-authored multiple books and journal articles, with a particular emphasis on Turkish and global financial markets. Dr. Kose teaches courses such as Financial Management I/II, Business Finance, Strategic Financial Management, and International Finance. Her work demonstrates expertise in applying quantitative methods to financial decision-making and policy analysis. Despite no listed awards, her extensive publication record and academic contributions highlight her scholarly impact in business and finance disciplines.

• Remote Sensing
• Environmental Monitoring
• Forest Ecology
• +۳ مورد دیگر

Dr. Lydia Li is a Research Fellow at the School of the Environment, University of Queensland. Her work focuses on advancing remote sensing techniques for environmental monitoring, with a particular emphasis on forest ecosystems, urbanization impacts, and air quality analysis. She has contributed to studies on inter-satellite variability in grassland curing estimates, forest cover change detection in Sichuan Province, and urban expansion effects on croplands in Buenos Aires. Her research interests span remote sensing applications in ecology, geospatial data analysis, and environmental policy. Notable projects include analyzing fire risk through satellite data, evaluating topographic correction methods, and identifying air pollution sources in megacities like Beijing. Dr. Li's publications consistently bridge technical remote sensing methodologies with real-world environmental challenges. While her academic profile highlights significant contributions to environmental remote sensing, no formal teaching roles, student advisement records, or listed grants are explicitly mentioned in the provided text. She maintains an active research agenda without noted academic awards or affiliations with specific labs or teams beyond her institutional position.

• 5G/6G Networks
• Wireless Networks
• Mobility Management
• +۵ مورد دیگر

M.Sc. Anna Prado is a Research and Teaching Associate at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich. She holds a B.Sc. in Information Systems and Communication Engineering from Bauman Moscow State Technical University (2017) and an M.Sc. in Communication Engineering from TUM (2020). She is currently pursuing her Ph.D., focusing on mobility management in 5G/6G networks, simulation of wireless systems, and digital twins for 6G. Her research emphasizes minimizing handover occurrences while ensuring smooth user connectivity through optimization and reinforcement learning techniques. Anna's academic role involves contributing to projects like the BMBF-funded 6G-ANNA initiative, which aims to develop holistic 6G systems prioritizing security, sustainability, and flexibility. She collaborates on network architecture design, resource allocation strategies, and resilient communication frameworks. Her work aligns with German technological sovereignty goals, addressing industrial and societal needs through advanced network technologies. Her research interests span 5G/6G networks, wireless resource management, digital twins, and machine learning applications in networks. She has authored/co-authored peer-reviewed papers on topics like admission control, slice dimensioning, energy-efficient edge orchestration, and secure 6G architectures. Her contributions enhance network efficiency, reliability, and adaptability for future communication systems. Anna is actively involved in the FlexComNetsLab and 6G-IP Lab, testing and demonstrating innovative 6G concepts. She participates in conferences and collaborates with industry partners to bridge academic research and real-world deployment.

Vassilis Papakostopoulosمشاهده پروفایل

استادیار

• Ergonomics
• Cognitive Science
• Human Factors Engineering
• +۴ مورد دیگر

Vassilis Papakostopoulos is an Assistant Professor at the Department of Product and Systems Design Engineering, University of the Aegean, specializing in Ergonomics. His academic background includes a PhD in Cognitive Psychology (Panteion University, 2008), MSc in Ergonomics (Loughborough University, 1998), and BSc in Psychology (University of Crete, 1996). He has extensive research experience in driver behavior analysis, human-robot interaction, and workplace design. His research focuses on visual perception, motor coordination, and ergonomics applications in transportation systems. Key areas include advanced driver assistance systems (ADAS), human factors in autonomous vehicles, and safety in urban environments. He has contributed to major EU-funded projects such as interACT, ASK-IT, and PReVENT, addressing challenges in traffic safety and human-machine interaction. Teaching responsibilities include undergraduate and graduate courses on ergonomics, user-centered design, and product development. He has published over 20 peer-reviewed articles, emphasizing holistic approaches to driver behavior analysis and interdisciplinary ergonomics applications. As Greece’s representative in the Centre for Registration of European Ergonomists (CREE), he promotes professional standards in ergonomics practice. Recent research trends include autonomous vehicle interactions, motorcycle safety, and organizational policies affecting risky driving behaviors. His work bridges historical ergonomic principles (e.g., ancient Athenian court design) with modern challenges in smart city infrastructure and human-robot collaboration.

Jan S. Hesthavenمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Scientific Computing
• +۶ مورد دیگر

Jan S. Hesthaven is a Professor and Provost at EPFL, leading academic affairs. He holds a Master's from the Technical University of Denmark (DTU) and a PhD in Numerical Analysis, followed by an honorary dr.techn degree from DTU. His research focuses on high-order computational methods for wave problems, reduced order models, and machine learning integration. He has co-authored over 175 papers and 4 monographs. Previously, he served as Dean of the School of Basic Sciences at EPFL and held roles at Brown University, including Director of the Center for Computation and Visualization. Awards include the Alfred P. Sloan Fellowship and the Philip J. Bray Award. Education: Master of Science in Computational Physics, DTU (1991) PhD in Numerical Analysis, DTU (1995) dr.techn in Computational Mathematics, DTU (2009) Research Interests: Development of high-order numerical methods, computational wave propagation, geophysical flows, and machine learning applications in scientific computing. His work bridges traditional methods with AI-driven approaches for real-time modeling and structural health monitoring. Recent Work: His 2023–2025 publications emphasize machine learning-enhanced models, reduced order methods, and seismic data analysis for environmental applications. Key techniques include physics-informed neural networks and graph-based operator learning. Awards: Alfred P. Sloan Fellowship (2000) NSF Career Award (2002) Philip J. Bray Award (2004) Dr.techn from DTU (2009) Grants & Leadership: Led the Center for Computation and Visualization (CCV) at Brown (2006–2013) and co-directed the NSF Institute ICERM (2010–2013). Current roles include Provost at EPFL and leadership in MATHICSE. Collaborates with industry and applied scientists on computational challenges. Labs & Teams: Active in the MATHICSE lab, focusing on numerical methods and high-performance computing. Involved in interdisciplinary projects combining AI with traditional computational science.

Amer Qounehمشاهده پروفایل

دانشیار

• Computer Architecture
• High-performance Computing
• Data Centers
• +۲ مورد دیگر

Amer Qouneh serves as an Associate Professor in the Department of Electrical and Computer Engineering at Western New England University, where his research centers on computer architecture, high-performance computing, data centers, Internet of Things (IoT), and embedded systems with emphasis on energy efficiency and practical implementations. Education: Ph.D. in Computer Engineering, University of Florida, 2014 M.S. in Computer Engineering, University of Florida, 2010 M.S. in Computer Science, University of Wisconsin-Milwaukee, 2007 M.S. in Electrical Engineering, Fairleigh Dickinson University, 1988 B.S. in Electrical Engineering, Fairleigh Dickinson University, 1985 Dr. Qouneh's research integrates theoretical innovation with real-world applications across multiple domains. His computer architecture work addresses thermal resilience in photonic networks and processing-in-memory systems, while his data center research focuses on renewable energy integration, resource allocation, and containerization. In IoT and embedded systems, he develops practical solutions like solar array trackers and edge-based machine learning deployments, demonstrating a commitment to sustainable and accessible technology education. Publication analysis from 2009-2022 reveals a strategic evolution from foundational work in transactional memory and containerization toward advanced energy-efficient architectures. His recent output emphasizes IoT educational integration and embedded AI applications, maintaining consistent contributions to top venues like IEEE Transactions on Parallel and Distributed Systems while adapting to emerging computational challenges in green computing and edge intelligence. Dr. Qouneh actively mentors undergraduate researchers, evidenced by multiple co-authored conference papers on IoT implementations and curriculum development. His scholarly impact spans both technical innovation in data center optimization and educational leadership in modernizing engineering curricula for emerging technologies.

• Electrical Engineering
• Renewable Energy Systems
• Electric Vehicles
• +۳ مورد دیگر

Jesús Diego Chouza Gestoso is a Professor in the Department of Industrial Engineering at the School of Engineering of Ferrol, University of A Coruña. His academic career spans over two decades with continuous teaching and research activities focused on electrical engineering and renewable energy systems. He is actively involved in multiple degree programs including Electrical Engineering, Industrial Technologies Engineering, and Electronic Engineering. His research interests focus on Renewable Energy Systems , particularly in electrical machines, energy efficiency, and sustainable applications. His work emphasizes practical implementations of renewable energy in residential buildings, marine applications, and electric mobility. He leads research in the 'Materials and renewable energy for engineering, environment and sustainability' group, investigating real-world applications of sustainable energy technologies. Analysis of his publication record reveals a strong focus on practical renewable energy applications , with particular emphasis on electrical machine design, energy management systems, and sustainable infrastructure development. His research consistently addresses Galicia's specific energy challenges, particularly coastal and marine renewable energy potential. Throughout his career, Professor Chouza Gestoso has supervised numerous bachelor's and master's theses focused on sustainable energy applications, including projects on electric vehicles, wind energy potential, and energy-efficient residential buildings. His teaching spans core electrical engineering subjects with specialization in electrical machines and renewable energy systems. His laboratory and research activities center around practical testing and implementation of renewable energy systems, with particular focus on electrical machine applications in marine environments and sustainable building projects. Current work appears to be advancing electric mobility infrastructure and offshore wind energy applications specific to the Galician coastline.

Jennifer Feitosaمشاهده پروفایل

دانشیار

• Culture
• Diversity
• Organizational Psychology
• +۳ مورد دیگر

Jennifer Feitosa is an Associate Professor at Claremont McKenna College and Director of the METRICS Lab, focusing on diversity, equity, and inclusion (DEI) in team dynamics. Her work bridges organizational psychology with cross-cultural research, emphasizing measurement validity and practical interventions. Education: B.S., M.S., Ph.D., University of Central Florida Research Interests: Dr. Feitosa investigates DEI policy implementation, trust in virtual teams, and cultural influences on workplace collaboration. Her studies often integrate qualitative and quantitative methodologies to address organizational challenges. Scientific Contributions: With over 40 publications, her research spans journals like American Psychologist and Journal of Organizational Behavior , covering topics such as measurement equivalence, gender diversity in leadership, and virtual team resilience. She is an active editorial board member, promoting rigorous peer-reviewed research. Labs and Teams: The METRICS Lab (Methodological Examination of Teams Research in Inter-Cultural Settings) serves as the hub for her interdisciplinary research, driving empirical studies on diverse team performance and psychological measurement tools.