جستجوی استاد راهنمای دانشگاهی

Duane Robinsonمشاهده پروفایل

دانشیار

• Power Transmission and Distribution Systems
• Energy Efficiency
• Renewable Energy Applications
• +۲ مورد دیگر

Duane Robinson is an Associate Professor at the Faculty of Engineering and Information Sciences, University of Wollongong. He serves as Director of the Australian Power Quality and Reliability Centre and Deputy Director of the Sustainable Buildings Research Centre. Robinson completed his B.E. (Hons I) in Electrical Engineering at University of Wollongong in 1998 and his PhD on harmonic distortion in distribution systems at the Integral Energy Power Quality Centre. His research focuses on modelling, analysis and control of power transmission/distribution systems, energy efficiency, renewable energy applications, microgrids, and power quality mitigation techniques. Recent publications demonstrate strong emphasis on PV integration challenges, harmonic analysis, voltage control optimization using AI techniques, and economic impacts of power quality issues. Award highlights include the 2018 Best Research Paper Award (International Conference on Sustainability in Energy and Building) and 2004 Cresswell Award from Electric Energy Society of Australia. Robinson leads multiple PhD projects on energy flexibility, grid-forming inverters, and AI-based control systems.

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.

• Nuclear Engineering
• Thermal Hydraulics
• Molten Salt Reactors
• +۳ مورد دیگر

Matthew J. Memmott is an Associate Professor in the Department of Chemical & Biological Engineering at Brigham Young University (BYU). His research focuses on advanced nuclear reactor technologies, particularly molten salt reactors, thermal energy storage systems, and nuclear safety systems. He is actively involved in the design and analysis of next-generation nuclear reactors, including the BYU molten salt microreactor and the Integral Inherently Safe Light Water Reactor (I2S-LWR). His work emphasizes thermal hydraulics, neutronics, and multi-objective optimization for nuclear systems. Memmott has contributed to the development of passive safety systems, such as the Passive Endothermic Reaction Cooling System (PERCS), and has explored applications of machine learning in reactor design and thermal management. His academic background includes expertise in fluid dynamics, thermodynamics, and reactor engineering. Memmott’s research spans both theoretical and experimental domains, with notable projects involving dynamic modeling using tools like RELAP5-3D. He has published extensively on topics such as molten salt properties, fission product behavior, and hybrid energy systems integration. His work aims to enhance reactor safety, efficiency, and flexibility while addressing challenges in nuclear waste management and renewable energy coupling. Motivated by the need for sustainable energy solutions, Memmott’s recent studies include multi-scale optimization of hybrid energy systems and the characterization of novel molten salt eutectics for reactor applications. His contributions have been disseminated through peer-reviewed journals, conference proceedings, and industry collaborations. While no specific awards are mentioned in the provided texts, his impactful research has positioned him as a key figure in the field of advanced nuclear reactor technology.

• Control Systems Engineering
• Biomedical Engineering
• Aerospace Engineering
• +۳ مورد دیگر

Professor Paul Stewart is affiliated with the University of Derby's College of Science and Engineering, specializing in Control and Systems Engineering. His research focuses on biomedical monitoring systems, nuclear reactor optimization, airport operations, and aerospace propulsion. Notable projects include developing real-time blood pressure estimation systems for dialysis patients and advancing modular nuclear reactor designs using genetic algorithms. He collaborates across disciplines, addressing challenges in energy efficiency, control systems, and transportation logistics. His work integrates advanced algorithms and engineering principles to solve complex problems in healthcare, aerospace, and sustainable energy. Research interests span hemodialysis monitoring technologies, genetic algorithm applications in modular systems, and multi-objective optimization for airport ground movements. His contributions also include pioneering studies on solar-powered high-altitude aircraft and energy-efficient electric propulsion systems. Despite no explicitly listed awards or grants, his prolific publications reflect sustained academic and industrial engagement. Key collaborations involve institutions like the University of Derby and international teams in nephrology, aerospace, and transportation engineering fields. While no labs or formal research teams are named, his work indicates involvement in interdisciplinary research networks focused on practical engineering solutions with societal impact.

Sebastian Bersickمشاهده پروفایل

استاد

• International Political Economy
• EU-Asia Relations
• China-EU Strategic Partnership
• +۴ مورد دیگر

Prof. Dr. Sebastian Bersick is a Professor of International Political Economy at Ruhr-Universität Bochum's Faculty of East Asian Studies, where he leads research on global governance and interregional relations. His primary affiliation is with the Department of International Political Economy of East Asia, focusing on contemporary Asia-Europe dynamics. His research examines: EU-China strategic partnerships and trade relations Soft power applications in global governance Regional security architectures in East Asia ASEM (Asia-Europe Meeting) institutional development Perception studies in transcontinental diplomacy Recent publications analyze cybersecurity cooperation, China's role in global capitalism reform, and ASEAN's perception in European foreign policy. Bersick has supervised doctoral candidates including Y. Li (2019) on China-Iran relations. While no awards are documented, his editorial leadership includes the volume China's International Roles: Challenging or Supporting International Order? (Routledge, 2016). He coordinates the Centre of Excellence and Think Lab Energie initiatives, facilitating interdisciplinary collaboration on Eurasian affairs. Consultation hours are available by appointment through the departmental email.

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.

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.

• International Relations
• Nuclear Non-Proliferation
• Military Policy
• +۵ مورد دیگر

Christoph Bluth is a Professor in International Relations at the University of Bradford, affiliated with the School of Social Sciences within the Faculty of Management, Law & Social Sciences. His expertise spans nuclear non-proliferation, military policy, North East Asia security dynamics, Cold War history, and humanitarian security issues. He has authored over 17 publications including books, journal articles, and edited volumes. Teaching: Specializes in strategic studies, nuclear policy, East Asian geopolitics, and global governance frameworks. Teaches modules like 'Technology, Violence and War' and 'Globalisation and Global Governance'. Research: Focuses on nuclear diplomacy (e.g., North Korea’s program), NATO strategy, Russian military reform, and the intersection between security and human rights. His work bridges historical analysis with contemporary policy challenges. Professional Activities: Holds six recorded employment positions and is part of one professional association. His research has addressed US foreign policy in conflict zones like Afghanistan and Iraq, and energy security in China. Awards: No specific honors listed, but his extensive publication record indicates sustained academic distinction.

Alexander K. Wagnerمشاهده پروفایل

استاد

• Behavioral Economics
• Experimental Economics
• Data-Driven Decision Making
• +۳ مورد دیگر

Alexander K. Wagner is a Professor of Behavioral Economics and Digitization at the University of Salzburg (PLUS), affiliated with the Faculty of Law, Business and Economics and the Department of Economics. He previously held positions at the University of Vienna, University of Cologne, and University of Konstanz. His research focuses on behavioral economics, experimental economics, algorithmic interactions in decision-making, and applied game theory. Education Bachelor/Master: Humboldt-University Berlin, University of Toronto PhD in Economics: Toulouse School of Economics Research Interests Wagner combines theoretical models with empirical analysis to study individual and firm decisions. Key areas include algorithmic pricing strategies, experimental platforms, and the impact of behavioral biases on economic outcomes. His recent work examines how managers respond to algorithmic recommendations in hotel pricing and explores strategic behavior in ambiguous environments. Grants & Projects Anniversary Fund Project (OeNB): "Human-Algorithm Interactions in Economic Decision Making" (2023-2027) Affiliations He is an affiliate at the Vienna Center for Experimental Economics (VCEE) and maintains active collaborations across international research networks.

• 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.

• Control Systems
• Model Predictive Control
• Data-Driven Methods
• +۳ مورد دیگر

Shuhao Yan is a Researcher and Post Doc Researcher at the University of Stuttgart, affiliated with the Department of Mathematics/IMNG within Faculty 08. His research focuses on advanced control systems, particularly in data-driven methods for uncertain systems, stochastic model predictive control (MPC), and grid-forming control in power electronics. He leads the SimTech Project Network 4-3 (II) titled 'Data-Integrated Control Systems Design with Guarantees,' emphasizing robustness and real-world applicability. His research interests revolve around integrating data with traditional control theory to address challenges in uncertain dynamic systems. Key areas include robust MPC, stochastic optimization, and the application of machine learning in control systems. He has contributed to advancements in grid stability analysis, voltage source converter control, and adaptive control strategies under intermittent data conditions. Recent publications highlight trends in learning-based control (e.g., homothetic tube MPC), stochastic MPC with probabilistic constraints, and power grid stability analysis for renewable energy integration. His work bridges theoretical foundations with practical implementations in energy systems and automation. Shuhao Yan holds a PhD and currently conducts research within the Institute of Mathematical Methods in Engineering, Numerical Analysis and Geometric Modeling. His projects emphasize interdisciplinary collaboration between control theory, applied mathematics, and electrical engineering.

Fang Luoمشاهده پروفایل

دانشیار

• Power Electronic Converters and Systems
• Power Module Packaging
• EMI Modeling and Mitigation

Fang Luo is the Empire Innovation Associate Professor and Director of the Spellman High Voltage Power Electronics Laboratory at Stony Brook University's Department of Electrical and Computer Engineering. He is affiliated with the College of Engineering and Applied Sciences, focusing on advancing power electronics technologies. His research interests encompass Power Electronic Converters and Systems, Power Module Packaging, and EMI Modeling and Mitigation. These areas address challenges in high-voltage systems, renewable energy integration, and electromagnetic compatibility. Dr. Luo's work emphasizes practical applications, such as optimizing power converters for offshore wind farms and developing advanced packaging solutions for wide bandgap (WBG) semiconductors. His laboratory, the Spellman High Voltage Power Electronics Lab, drives innovation in high-voltage systems and energy-efficient power electronics. His recent publications highlight advancements in HVDC wind energy systems, GaN-based converter designs, and EMI mitigation strategies. He has contributed to the design of modular power converters and cryogenic power electronics for electric aircraft propulsion. As a leader in his field, Dr. Luo's research bridges theoretical modeling and practical engineering solutions, with a focus on sustainable energy systems and cutting-edge semiconductor technologies.

Damien Ernstمشاهده پروفایل

استاد

• Energy Systems
• Operations Research
• Remote Renewable Energy Hubs
• +۵ مورد دیگر

Prof. Damien Ernst is a faculty member at the Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège (Belgium). His research focuses on energy systems, remote renewable energy hubs, reinforcement learning, and optimization algorithms. He actively contributes to decarbonization strategies for hard-to-abate sectors like shipping and aviation. Academic Rank: Professor University: University of Liège School: Montefiore Institute Department: Electrical Engineering and Computer Science Research interests include: Design and techno-economic analysis of remote renewable energy systems Reinforcement learning applications in energy and optimization Energy transition policy and sustainability modeling Machine learning techniques for energy system transparency Integration of nuclear, hydrogen, and battery technologies His recent publications demonstrate expertise in: Remote Renewable Energy Hub (RREH) design Small Modular Reactor (SMR) integration Asymmetric Actor-Critic algorithms Energy system optimization and modeling Grid stability and hosting capacity analysis Explainable AI for closed-domain question answering Prof. Ernst leads PhD projects at the intersection of Operations Research and Energy Systems, focusing on energy systems models' transparency and optimization techniques.