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Sebastian BersickView profile

Professor

• International Political Economy
• EU-Asia Relations
• China-EU Strategic Partnership
• +4 more

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 SrikanthaView profile

Associate Professor

• Game Theory
• Large-scale Optimization
• Distributed Control
• +5 more

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 ZareView profile

Assistant Professor

• Control Theory
• Fluid Mechanics
• Stochastic Dynamical Modeling
• +3 more

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
• +5 more

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. WagnerView profile

Professor

• Behavioral Economics
• Experimental Economics
• Data-Driven Decision Making
• +3 more

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
• +5 more

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
• +3 more

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 LuoView profile

Associate Professor

• 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 ErnstView profile

Professor

• Energy Systems
• Operations Research
• Remote Renewable Energy Hubs
• +5 more

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.

• Applied Mathematics
• Fluid Mechanics
• Theoretical Mechanics
• +3 more

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.

Ammar Al-BaziView profile

Associate Professor

• Operations Research
• Supply Chain Management
• Simulation and Optimization
• +3 more

Dr. Ammar Al-Bazi is an Associate Professor in Operations and Supply Chain Simulation at Aston Business School, part of the College of Business and Social Sciences at Aston University. He holds a PhD in Simulation and Optimization from Teesside University and an MSc in Statistics and Operational Research from the University of Baghdad. He is a Senior Fellow of the Higher Education Academy (SFHEA) and has led multiple funded projects, including those supported by Innovate UK and the European Regional Development Fund (ERDF). His research focuses on applying simulation, optimization, AI, and digital technologies to solve real-world challenges in logistics, energy, and manufacturing. Education: PhD in Simulation and Optimization, Teesside University (UK) MSc in Statistics and Operational Research, University of Baghdad (Iraq) BSc (Honors) in Operational Research, Al-Mansour College University (Iraq) Research Interests: Simulation and optimization techniques for supply chain management Energy efficiency and demand-side management Transportation and logistics optimization (including drones) Artificial Intelligence applications in manufacturing and healthcare Risk mitigation and disruption management in operations Recent Article Trends: Dr. Al-Bazi's recent work emphasizes digital twin technology, IoT integration in energy systems, and resilience in supply chains. His studies often combine machine learning with traditional optimization methods to address challenges like emissions prediction, consumer behavior modeling, and pandemic logistics. Awards and Roles: Senior Fellow of the Higher Education Academy (SFHEA) External Examiner for PhD programs at multiple universities Editorial board member of journals like Supply Chain Analytics and Journal of Information and Communication Technology Grants and Funding: £39,751 (Innovate UK) for dynamic railway contaminant control barriers £202,308 (KTP, Innovate UK) for collaboration with The Birmingham Assay Office Multiple KEEN and KTP projects focusing on SME performance improvement Advisory and Teaching: He supervises PhD students on topics like behavioral decision-making in healthcare logistics and renewable energy integration. He teaches courses in operations management, simulation for project management, and business analytics.

• Numerical Analysis
• Nonlinear Systems
• Circuit Theory
• +3 more

Dr. Marissa Condon is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU), where she has been since 2000. She holds a BE (First Class Honours) from the National University of Ireland, Galway (1995) and a PhD from the National University of Ireland (1998). Prior to her academic role, she worked at the National Grid of the Electricity Supply Board of Ireland (1998–2000). Her research focuses on numerical modeling of highly oscillatory systems, nonlinear systems analysis, and high-frequency circuit simulation. She led the SFI Investigator Programme Grant SMART (Simulation and Modelling Techniques for Radio Frequency Technology). Her teaching roles include coordinating modules such as Circuits, Numerical Problem Solving for Engineers, and Signals. Her work spans electromagnetic scattering analysis, interconnect modeling, and model order reduction techniques. She has contributed to advancements in RF oscillator simulation and robust control of power electronics systems.

Sheldon WilliamsonView profile

Professor

• Electric Energy Storage Systems
• Power Electronics
• Transportation Electrification
• +4 more

Dr. Sheldon Williamson is a Professor and NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification at Ontario Tech University's Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science. His research focuses on advanced energy storage technologies, power electronics, and their integration into transportation systems and smart grids. Education: Ph.D. (Electrical Engineering, Illinois Institute of Technology, 2006), M.S. (Electrical Engineering, Illinois Institute of Technology, 2002), B.E. (Electrical Engineering, University of Mumbai, 1999). Research Interests - Electric Energy Storage Systems for Transportation Electrification - Battery Management Systems (BMS) and Thermal Safety - Wireless Power Transfer and Charging Infrastructure - Cyber-Physical Security in EV Systems - Smart Grid Integration of Renewable Energy Publications : Over 50 peer-reviewed articles from 2021–2025, focusing on battery technologies, power electronics, and electrification challenges. Key themes include solid-state batteries, cloud-based BMS architectures, and dynamic wireless charging systems. No scientific awards explicitly listed in provided texts. Active in academic leadership and curriculum development within the department.

• Grid Integration of Renewable Energy
• Power Systems
• Smart Grids
• +3 more

Professor Mithulan Nadarajah is a Professor at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. from the University of Waterloo (Canada), and prior academic positions at the Asian Institute of Technology (Thailand) and the University of Peradeniya (Sri Lanka). His research focuses on Grid Integration of Renewable Energy (GIRE), with two main themes: Planning and Operational Planning of renewable energy integration. He has supervised 29 PhD students and 50 research masters, and secured over AUD 3.6 million in grants from ARC, Government of India, Indonesia, Malaysia, and industry partners. His work spans smart grids, power systems stability, and energy storage systems. He served as Director of HDR Studies (2019–2025) and coordinated regional energy initiatives at ASEAN and Asian countries. He is a Senior Member of IEEE and Editor for the American Institute of Mathematical Sciences journal. Education: Ph.D. (Waterloo, Canada), B.Sc. (Peradeniya, Sri Lanka), M.Eng. (AIT, Thailand) Research interests include renewable energy grid integration, power system stability, and distributed generation. Over 320 publications include 1 book, 8 book chapters, and impactful journal/conference papers. His international collaborations span ASEAN, Asia, and Europe. Current roles include leadership in HDR programs and energy policy research.

Feng AnView profile

Research Fellow

• Renewable Energy Power Conversion
• Power Electronic Converters
• Optimized Power System Operation
• +3 more

Dr. Feng (Chris) An is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. in Electrical Engineering from Tsinghua University (2023) and joined UQ in 2024. His research focuses on renewable energy power conversion, power electronics topology/control, and optimized power system operation with integrated power electronic devices. He is a reviewer for top-tier journals like IEEE Transactions on Power Electronics and has been recognized in the Stanford/Elsevier Top 2% Scientists List 2024. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2023 Research Interests: Renewable energy systems, power electronic converters, grid integration, energy storage systems, and power system modeling. Publications: Over 16 peer-reviewed articles in journals like IEEE Transactions and conference proceedings, focusing on DC transformers, energy storage, and grid resilience. Awards: Stanford/Elsevier Top 2% Scientists List 2024 He advises students in renewable energy and power conversion and collaborates with the Power & Energy Systems Research Group. His work addresses challenges in high-renewable grids and power system stability.