جست‌وجوی استاد و پژوهشگر

Daniel Aobdiaمشاهده پروفایل

استاد

• Empirical Accounting
• Economics of Auditing
• Regulatory Impact Analysis
• +۵ مورد دیگر

Professor Daniel Aobdia holds the Ernst & Young Professorship of Accounting at the Smeal College of Business, Penn State. His prior roles include Assistant/Associate Professor at Northwestern Kellogg School and Senior Research Fellow at PCAOB’s Center for Economic Analysis. He advises scholarly journals including Journal of Accounting and Economics, The Accounting Review, and Auditing: A Journal of Practice & Theory. Education: Ph.D. & MBA, UCLA Anderson School of Management (2012, 2006) M.S., Management Science & Engineering, Stanford University (2002) B.S., École Polytechnique (France, 1999) Professional Background: Morgan Stanley Investment Banking (Los Angeles) Strategy Consultant, Mars & Company (Tokyo) His research explores auditing as a lens to examine economic phenomena: regulatory impacts, labor inputs (e.g., high-skilled immigration), information spillovers, and disclosure effects on markets. Recent work addresses audit quality drivers, auditor workload effects, and ESG integration in audits. He frequently examines institutional investor behavior, audit firm governance, and cross-border talent dynamics. Editorial roles include Associate Editor at Journal of Accounting and Economics and membership on five editorial boards. His work bridges academic rigor with practical implications for audit oversight, capital markets, and organizational strategy.

• Computational Mathematics
• Fluid Dynamics
• Traffic Flow Modeling
• +۳ مورد دیگر

Dr. Anargyros (Argiris) Delis is a Professor of Computational Mathematics at the School of Production Engineering & Management, Technical University of Crete. He holds a B.Sc. in Mathematics (1993, University of Crete), M.Sc. in Numerical Analysis and Computing (1994, University of Manchester/UMIST), and a Ph.D. in Applied and Computational Mathematics (1998, University of the West of England). His academic career includes roles as Lecturer (2003–2008), Assistant Professor (2008–2013), and Associate Professor (2013–2022) at Technical University of Crete, before becoming Full Professor in 2022. He has directed the MSc in Applied Mathematics program (2019–2023) and leads research in numerical methods for fluid dynamics, traffic flow modeling, and computational mathematics. Research Interests: Development of high-resolution finite volume schemes for shallow water equations, traffic flow dynamics, and fluid-structure interactions. Key domains include coastal engineering, tsunami modeling, and ACC/CACC vehicle systems. Active in labs like Turbomachines & Fluid Dynamics Laboratory and the Numerical Analysis Group at IACM-FORTH. Notable Projects: TRAMAN21 (traffic management), C-NORA (transport systems control), and contributions to flood simulation (e.g., Malpasset Dam Failure modeling). Publications focus on numerical methods, wave propagation, and traffic flow control, with over 50 peer-reviewed articles. Grants: Involved in EU-funded projects and Greek national initiatives. Collaborations with institutions like INRIA, ERCIM, and Global Power and Propulsion Society. Labs/Teams: Member of Applied Mathematics and Computers Laboratory (AMCL), Turbomachines Lab, and Coastal Information Research Unit (CIRUM).

Xin Fangمشاهده پروفایل

استادیار

• Power System Optimization
• Cyber-Physical Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Xin Fang is an Assistant Professor in the Electrical & Computer Engineering Department at Mississippi State University, affiliated with the Bagley College of Engineering. His research focuses on power system optimization with uncertainty, cyber-physical dynamic modeling, and renewable energy integration. He holds a Ph.D. from the University of Tennessee, Knoxville, an M.S. from China Electric Power Research Institute, and a B.S. from Huazhong University of Science and Technology. Education: Ph.D., Electrical and Computer Engineering, University of Tennessee, Knoxville, 2016 M.S., Power System Automation, China Electric Power Research Institute, 2012 B.S., Power System Automation, Huazhong University of Science and Technology, 2009 His research interests emphasize cyber-physical systems integration, grid resiliency through multi-timescale modeling, and equitable energy distribution. Recent work addresses challenges in high-renewable grid operations, including dynamic co-simulation frameworks for electricity-transportation networks. He explores innovative solutions for frequency stability, voltage control, and market mechanisms for emerging energy systems. Publications highlight advancements in hybrid power plant optimization, distributed energy resource coordination, and equitable load-shedding methodologies. His work bridges theoretical modeling with practical applications in grid security and renewable integration.

Pirathayini Srikanthaمشاهده پروفایل

دانشیار

• Game Theory
• Large-scale Optimization
• Distributed Control
• +۵ مورد دیگر

Pirathayini Srikantha serves as Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering, holding a Tier 2 Canada Research Chair in Reliable and Secure Power Grid Systems with critical national security implications for Canada's power infrastructure. Her academic foundation includes: B.A.Sc. in Systems Design Engineering from University of Waterloo (2009) M.A.Sc. in Electrical and Computer Engineering from University of Waterloo (2013) Ph.D. from University of Toronto's Edward S. Rogers Sr. Department of Electrical and Computer Engineering (2017) Professor Srikantha's research centers on game theory, large-scale optimization, and distributed control to enable adaptive power grid operations. Her work addresses cybersecurity vulnerabilities in smart grids through distributed coordination frameworks and develops transactive energy market mechanisms that incentivize grid support during congestion. By integrating AI breakthroughs, she focuses on creating systems that automatically infer, predict, and respond to power disturbances while enhancing infrastructure resilience against evolving threats. Her publication trajectory reveals consistent innovation in grid security and optimization, with increasing emphasis on AI-driven solutions for grid resilience since 2015. Key thematic evolution shows progression from foundational distributed control (2015-2017) to sophisticated cybersecurity applications (2018-2021), consistently appearing in premier venues like IEEE Transactions on Smart Grid. Her scholarly impact is recognized through: Best paper award at IEEE Smart Grid Communications Runner-up best poster award at ACM Women in Computing As Canada Research Chair holder, she directs a federally funded research program addressing critical grid vulnerabilities, while serving as Associate Editor for IEEE Transactions on Smart Grid. Her work bridges theoretical advances in game-theoretic security with practical grid applications, though specific student mentorship details aren't publicly enumerated in source materials. Her research group operates at the intersection of electrical engineering and computer science, developing next-generation tools for grid operators through collaborations with Canadian energy infrastructure stakeholders.

Ben Leshchinskyمشاهده پروفایل

استاد

• Geotechnical Engineering
• Landslide Hazards
• Slope Stability
• +۷ مورد دیگر

Ben Leshchinsky is a Professor and Richardson Chair in the Department of Forest Engineering, Resources & Management at Oregon State University's College of Forestry. He specializes in geotechnical engineering with focuses on landslide hazards, slope stability, and geosynthetic applications. His research integrates numerical modeling, remote sensing, and field monitoring to address natural hazard challenges in forested and coastal environments. Education: Ph.D., Civil Engineering, Columbia University (2012) M.Phil, Civil Engineering, Columbia University (2010) M.S., Civil Engineering, Columbia University (2008) B.S., Civil Engineering, University of Delaware (2007) Research Interests: Landslide dynamics and mitigation Coastal erosion forecasting Wildfire-landslide interactions Geotechnical infrastructure resilience Numerical modeling of slope failure mechanisms His recent publications emphasize landslide susceptibility modeling, coastal highway vulnerability assessment, and post-wildfire geohazard analysis. He leads the Landslide Hazards Research Lab, advancing interdisciplinary approaches to natural hazard mitigation. Advises graduate students and teaches courses on soil mechanics, geosynthetics, and slope stability analysis. Key Contributions: Developed the RegionGrow3D algorithm for 3D landslide source characterization Pioneered real-time landslide displacement monitoring techniques Advocated for climate-resilient transportation infrastructure planning

Sean X. Heمشاهده پروفایل

دانشیار

• Transportation Systems
• Infrastructure Resilience
• Connected Autonomous Vehicles
• +۲ مورد دیگر

Sean X. He is an Associate Professor in the Civil and Environmental Engineering department at Rensselaer Polytechnic Institute , joining in 2017. His research focuses on modeling and simulating transportation systems, particularly the impacts of emerging technologies and network disruptions. Ph.D. and M.S. in Transportation Engineering from University of Minnesota, Twin Cities B.S. and M.S. in Computational Mathematics His expertise spans interdependent infrastructure resilience, connected autonomous vehicles (CAVs), and electric vehicles. He serves on the Network Modeling Standing Committee of the Transportation Research Board (TRB), and holds editorial roles for Transportation Research Part B , Frontiers in Future Transportation , and as guest editor for multiple journals. His work on CAVs and transportation resilience has earned recognition, including the Best Paper Award at the 18th International IEEE Conference on Intelligent Transportation Systems and the NSF CAREER Award 2021 . Recent publications highlight his work in dynamic traffic equilibrium, vehicle re-identification algorithms, and energy-efficient transportation systems. Collaborative research trends integrate AI, optimization techniques, and environmental impact analysis to address challenges in urban mobility and network disruptions. NSF CAREER Award 2021 Best Paper Award - 18th International IEEE Conference on Intelligent Transportation Systems

Armin Zareمشاهده پروفایل

استادیار

• Control Theory
• Fluid Mechanics
• Stochastic Dynamical Modeling
• +۳ مورد دیگر

Armin Zare is an Assistant Professor at the University of Texas at Dallas in the Department of Mechanical Engineering , affiliated with the Center for Wind Energy . He obtained his PhD in Electrical Engineering from the University of Minnesota (2016) and previously held a postdoctoral position at the University of Southern California. Education : PhD (2016), MS (2016) in Electrical Engineering from University of Minnesota; BS (2010) in Electrical Engineering from Sharif University of Technology Research Interests : Modeling, dynamics, and control of large-scale and distributed systems; optimization; dynamics and control of complex fluid flows; renewable energy generation. His work focuses on stochastic modeling of turbulent flows and wind farm dynamics using control theory. Recent Publications highlight advancements in wind farm turbulence modeling, stochastic receptivity analysis, and covariance completion algorithms, reflecting his expertise at the intersection of control systems and fluid dynamics. Scientific Awards Young Investigator Program Award, Air Force Office of Scientific Research (2023) Doctoral Dissertation Fellowship, University of Minnesota (2015) Best Student Paper Award Finalist, American Control Conference (2014) Advisees include PhD students working on topics like wall turbulence modeling, wind farm forecasting, and stochastic dynamical systems, with several former students having completed theses on wind turbine wake modeling and fluid flow uncertainties.

• Power Electronics
• Microgrids
• Wide Bandgap Devices
• +۵ مورد دیگر

Leon M. Tolbert is a Chancellor’s Professor and Min H. Kao Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Electrical Engineering from Georgia Tech and has been with the university since 1999. His research focuses on power electronics, microgrids, wide bandgap devices, and renewable energy integration. He is a Fellow of the IEEE and has led initiatives like CURENT, an NSF/DOE Engineering Research Center. Education: BSEE (1989), MSEE (1991), PhD (1999), all from Georgia Tech. Professional roles include former Department Head (2013–2018) and adjunct researcher at Oak Ridge National Laboratory. Research interests span power electronics applications, multilevel converters, electric vehicles, and grid modernization. His work has led to innovations in SiC device utilization and grid stability solutions. Awards include the NSF CAREER Award and multiple university recognitions for teaching and research. Key contributions include over 200 publications, patents on power converter designs, and leadership in IEEE technical committees. His lab develops hardware-in-the-loop systems to emulate grid dynamics and test inverter-based resources.

Brett van Poortenمشاهده پروفایل

استادیار

• Fisheries Management
• Environmental Management
• Social-Ecological Systems
• +۵ مورد دیگر

Brett van Poorten is an Assistant Professor in the School of Resource & Environmental Management at Simon Fraser University. He holds a BSc in Biology from the University of Guelph, an MSc in Fish Ecology from the University of Calgary, and a PhD in Fisheries from the University of British Columbia. His research focuses on fisheries management decisions, integrating recreational/commercial fisheries with human dimensions and management science. Prior to SFU, he was Senior Aquatic Scientist at the BC Ministry of Environment, addressing fisheries and aquatic system challenges such as social-ecological system management, invasive species, and hydroelectric impacts. His research interests include decision analysis, structured decision-making, novel fishing effort monitoring techniques, and social-ecological systems modeling. He leads the Fisheries Management Lab ( www.fisheriesmanagementlab.ca ), emphasizing applied solutions for sustainable resource management. Brett teaches REM 412 (Environmental Modeling) and REM 612 (Simulation Modelling in Natural Resource Management). His work bridges ecological and human dimensions, with a focus on creating actionable frameworks for complex management challenges.

• Marine Geology
• Ocean Mapping
• Submarine Geomorphology
• +۳ مورد دیگر

Robin Beaman is an Adjunct Senior Research Fellow at James Cook University in Cairns, Australia. With over 30 years of experience, he specializes in marine geology and ocean mapping, focusing on submerged geological features and their ecological implications. Research Interests : Drowned reefs, mesophotic coral ecosystems, submarine canyons, turbidite sediment flows, underwater landslides, and deep-water marine life Projects : GBR Marine Park mapping, Queensland Coastline Capture, Crowdsourced bathymetry, and Antarctic marine census initiatives His work develops 3D depth models of the Great Barrier Reef and Coral Sea, integrating geological and ecological data. Recent publications focus on Halimeda bioherms, carbonate platform drowning, and benthic community distributions across depth gradients. While no awards are listed, his research spans interdisciplinary collaborations with academic, government, and industry partners.

• Applied Mathematics
• Fluid Mechanics
• Theoretical Mechanics
• +۳ مورد دیگر

Professor Andrew Bassom is a Professor of Applied Mathematics and Head of Discipline in Mathematics at the University of Tasmania's School of Natural Sciences. He holds a PhD and has held prior appointments at the University of Western Australia (UWA) and the University of Exeter (UK). His research focuses on fluid mechanics, differential equations, and mathematical modelling with applications to ocean flows, geophysics, and biomedical engineering (e.g., ventilation of premature babies). Research Interests: Applied mathematics, theoretical and applied mechanics, fluid dynamics, and nonlinear systems. Recent work involves magnetic bubble dynamics, climate system hyperbolicity, thermal convection patterns, and seismicity modelling in mining contexts. Grants & Projects: Key projects include: A$460,000 ARC Discovery Project (2019–2023) studying Antarctic ice-sheet collapse via seismic signals. A$15,000 ARC College of Experts 2023 nomination grant. Modelling mining-induced seismicity using the Material Point Method (MPM). Teaching & Supervision: Teaches third-year/honours applied mathematics units. Current doctoral supervision includes projects on climate system hyperbolicity, non-spherical bubbles, and ice-rock interface dynamics. Completed students include Earl Sullivan Lester (dark matter cosmology) and Gysbert Basson (MPM applications in mining). Publications: Over 228 peer-reviewed articles, emphasizing fluid mechanics innovations and interdisciplinary applications. Recent trends focus on geophysical fluid dynamics, climate modelling, and computational methods for complex systems.

Mehrdad Ghandhari Alavijhمشاهده پروفایل

استاد

• Power System Dynamics
• Power System Stability and Control
• FACTS and HVDC Systems
• +۳ مورد دیگر

Mehrdad Ghandhari Alavijh is a Full Professor in Electric Power Systems at KTH Royal Institute of Technology. He leads research in power system dynamics, stability, and control, with a focus on FACTS (Flexible AC Transmission Systems), HVDC systems, and advanced control strategies. His work addresses challenges in grid reliability, renewable energy integration, and environmental sustainability. Education: Received M.Sc. (1995) and Ph.D. (2000) in Electrical Engineering from KTH. His research group develops innovative methods for secure, efficient power system operation, leveraging advanced monitoring and communication technologies. Research Interests: Power System Dynamics and Stability Transient Stability Assessment HVDC and FACTS Technologies Renewable Energy Integration Publications: Recent works focus on HVDC systems, battery storage, transient stability algorithms, and frequency control. His studies emphasize real-time monitoring and control strategies to enhance grid resilience against outages. Teaching: Supervises courses in power systems engineering, including degree projects in Electric Power Systems and Energy Innovation. Serves as an examiner and course responsible for multiple graduate programs.

Cristian Rojasمشاهده پروفایل

استاد

• Automatic Control
• System Identification
• Control Theory
• +۷ مورد دیگر

Cristian Rojas is a Professor of Automatic Control at KTH Royal Institute of Technology, specializing in system identification. His research bridges control theory, statistics, and machine learning to develop data-driven methods for analyzing and controlling dynamical systems. He holds an MS in Electronics Engineering from Universidad Técnica Federico Santa María (Chile) and a PhD in Electrical Engineering from the University of Newcastle (Australia). Research focuses on efficient utilization of data for self-learning systems, including topics like continuous-time system identification, robust control, and statistical estimation. Notable contributions include work on subspace identification, input design for sparse systems, and algorithms for H-infinity norm estimation. His methodologies emphasize practical applications in industrial automation, smart infrastructure, and autonomous systems. Recent publications highlight advancements in inverse filtering, decentralized learning systems, and the theoretical underpinnings of data-driven control. He collaborates widely on projects involving Bayesian methods, adversarial systems, and privacy-protected decision-making frameworks. Rojas' work often addresses challenges such as undersampling effects, model consistency, and computational efficiency in real-world control scenarios. His academic contributions include organizing academic ceremonies at KTH and mentoring researchers in the Department of Automatic Control. Current research explores intersections between machine learning interpretability and control theory, with applications to explainable AI in engineering systems.

• Fluid Dynamics
• Aerodynamics
• Environmental Engineering
• +۳ مورد دیگر

Hrvoje Kozmar is a Full Professor in the Department of Physics at the University of Zagreb's Faculty of Science. His research focuses on fluid dynamics, aerodynamics, and environmental engineering, with particular emphasis on wind energy systems, atmospheric boundary layer flows, and structural dynamics. His work addresses challenges in offshore engineering, wind turbine design, and urban building aerodynamics. Professor Kozmar has contributed to advanced computational models for hydrodynamic loads on offshore structures, turbulence effects on tall buildings, and wind energy harvesting systems. His studies on Bora wind dynamics and rotor blade aerodynamics highlight interdisciplinary applications in meteorology and renewable energy. Key projects include surrogate modeling for offshore monopiles, numerical simulations of wave-current interactions, and experimental studies on porous double-skin façades for wind load mitigation. He has collaborated on wind farm layouts, cable-supported bridge stability, and aerodynamic optimization of vehicles.

Tianfeng Luمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Chemical Kinetics
• Turbulent Combustion
• +۳ مورد دیگر

Professor Tianfeng Lu is a faculty member in the School of Engineering at the University of Connecticut, where he joined as an Assistant Professor in 2008 and was appointed as the United Technologies Associate Professor of Engineering Innovation in 2016. His research focuses on computational fluid dynamics, combustion chemistry, and turbulent flow simulations. He earned his B.S. and M.S. in Engineering Mechanics from Tsinghua University and his Ph.D. in Mechanical and Aerospace Engineering from Princeton University. Dr. Lu's work emphasizes reducing complex chemical mechanisms for efficient simulations of multidimensional turbulent flows and engineering systems. His contributions include advancements in ignition dynamics, detonation modeling, and plasma-assisted combustion. Key projects involve exascale simulations through initiatives like PELE and collaborations on real-fuel combustion models for engines. His articles highlight breakthroughs in combustion diagnostics, engine efficiency, and pollutant reduction, with recent efforts addressing hydrogen-methane mixtures and low-temperature combustion strategies. Awards include his endowed chair position, reflecting recognition of his impactful contributions to combustion science.