جست‌وجوی استاد و پژوهشگر

Vassilios Angelidisمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Sources
• Electrical Power Systems
• +۱ مورد دیگر

Professor Vassilios Angelidis is a distinguished academic in the field of Electrical Engineering, currently serving as a Professor at the Department of Electrical and Computer Engineering of Democritus University of Thrace. He joined the university in June 2024, bringing with him extensive international experience from prestigious institutions including the University of Glasgow, University of Sydney, University of New South Wales (UNSW), and the Technical University of Denmark. Professor Angelidis received his educational foundation with a degree in Electrical Engineering from Democritus University of Thrace, followed by a Master of Applied Science from Concordia University in Canada, and a PhD from Curtin University in Western Australia. He further enhanced his expertise with an MBA from Curtin Graduate School of Business. His research interests span Power Electronics, Renewable Energy Sources, Electrical Power Systems, and Autonomous Electricity Networks. Professor Angelidis has made significant contributions to the development of advanced power conversion techniques, grid integration of renewable energy sources, and the application of artificial intelligence in power system analysis and prediction. His work has been instrumental in advancing the field of smart grid technologies and sustainable energy systems. An analysis of his recent publications reveals a strong focus on power electronics applications in renewable energy integration, particularly in photovoltaic systems and electric vehicle charging infrastructure. His research demonstrates expertise in developing advanced algorithms for power system monitoring and control, with particular emphasis on frequency estimation, phase angle calculation, and power quality enhancement in modern grids with high penetration of distributed energy resources. Among his notable scientific achievements, Professor Angelidis has been recognized as an IEEE Fellow for his significant contributions to power electronics and the conversion and integration of renewable energy sources into power grids. He has also received the prestigious Advanced Research Fellowship for young researchers from the Engineering and Natural Sciences Council of the United Kingdom. Throughout his career, Professor Angelidis has secured research funding from various organizations across Australia, the United Kingdom, Denmark, China, India, and Malaysia, as well as industry partners with global reach. He has served on the International Councils of Beijing Jiaotong University and Universiti Tenaga Nasional (UNITEN), and currently holds the position of Vice President-elect of the IEEE Power Electronics Community. At Democritus University of Thrace, Professor Angelidis is affiliated with the Electrical Machines Laboratory within the Energy Systems Sector, where he leads research on Control and Diagnostic Methods of Electrical Machines. His current work focuses on advancing the integration of renewable energy sources into electrical power systems while maintaining grid stability and reliability.

Vigdis Vandvikمشاهده پروفایل

استاد

• Plant and vegetation ecology
• Biodiversity
• Ecosystem responses to climate change
• +۷ مورد دیگر

Professor Vigdis Vandvik at the University of Bergen (Department of Biological Sciences) is a leading community ecologist studying global change impacts on plants, biodiversity, and ecosystem functions. Her research spans three key areas: local-regional process interactions, environmental change scaling from individuals to ecosystems, and human land-use impacts. She directs the Between The Fjords Lab using macroecological experiments across Norway's Vestland Climate Grid and global networks. Key research systems: Alpine, grassland, heathland ecosystems Methodological focus: Experimental macroecology, field-lab integration Policy engagement: IPBES assessments, Norwegian Council on Ethics Her 15 most recent articles reveal trends in climate-vegetation interactions, functional trait analysis, and nature-climate policy linkages. Studies range from Arctic nutrient dynamics to alpine grazing mitigation and heathland carbon fluxes, emphasizing cross-scale ecological modeling and experimental frameworks. Current PhD/MSc projects include climate budget integration (ECOBUDGETS), mycorrhizal responses (FUNDER/DURIN), range expansion impacts (RangeX), and carbon flux dynamics (ThreeD/INCLINE). She actively promotes open science through GBIF ambassadorship and FAIR data initiatives. Labs/teams: Between The Fjords Lab, CeSAM Centre for Sustainable Area Management, Ecological and Environmental Change Research Group, bioCEED Center of Excellence in Biology Education. International collaborations span Norway, Europe, US, Uganda, Nepal, China, and Peru.

• Control Engineering
• Process Control
• Optimal Control
• +۱۱ مورد دیگر

Torsten Wik is a Professor in Control Engineering at Chalmers University of Technology. He leads the Control Engineering research group and focuses on process control with theoretical and applied methodologies. Institution: Chalmers University of Technology Department: Control Engineering His research spans optimal control, model reduction, and systems with model uncertainties. Applications include energy-saving systems, environmental improvement, biological systems (water purification, recirculating fish farms, LED greenhouse lighting), and battery estimation/modeling/control. Recent work emphasizes battery degradation diagnosis, state estimation, fast charging, and reconfigurable systems. Key methodologies include physics-informed frameworks, machine learning integration, entropy-based predictive algorithms, and hypergraph modeling. Applications extend to electric vehicles, photovoltaic systems, fuel cells, and biofilm reactors. Publications highlight collaborations across engineering domains, focusing on control theory, electrochemical modeling, and real-time optimization. His work bridges theoretical advancements with industrial applications in energy systems, transportation, and sustainable agriculture.

• Construction Engineering
• Discrete-Event Simulation
• Industrial Construction
• +۶ مورد دیگر

Yasser Mohamed is a Professor in the Civil and Environmental Engineering Department at the University of Alberta . His academic and professional focus revolves around construction engineering, discrete-event simulation, and process optimization for industrial and tunneling operations. He has also explored knowledge engineering techniques and the application of TRIZ (Theory of Inventive Problem Solving) to construction processes. Email: yaly@ualberta.ca Location: 7-269 Donadeo Innovation Centre For Engineering, Edmonton, AB Courses Taught: CIV E 603 (Construction Informatics), CIV E 606 (Design and Analysis of Construction Operations) His research emphasizes modeling construction processes using discrete-event simulation to optimize performance and develop synthetic environments for construction operations. Recent publications, however, indicate a shift toward power systems, focusing on DC microgrids , grid-forming converters , and renewable energy integration . Scientific Awards: None explicitly mentioned in the provided data. Advising and Grants: No formal advisees listed. A co-applicant on a CRD grant (2007–present) for synthetic environments in construction simulation.

Emily Jensenمشاهده پروفایل

استادیار

• Control Systems
• Power Systems
• Robotics
• +۳ مورد دیگر

Emily Jensen is an Assistant Professor in the Department of Electrical, Computer & Energy Engineering at the University of Colorado, Boulder. She specializes in the analysis and control of spatially-distributed systems with applications in power grids, satellite constellations, and bio-inspired robotics. Her work focuses on developing theoretical frameworks to optimize system performance under constraints such as communication limitations and nonlinear dynamics. Education: B.S. in Engineering Mathematics & Statistics, UC Berkeley, 2015 M.S./Ph.D. in Electrical & Computer Engineering, UC Santa Barbara, 2020 Professional Appointments: Postdoctoral Researcher at UC Berkeley (2022-2023) Postdoctoral Researcher at Northeastern University (2021) Her research interests center on optimal distributed control, system-level synthesis, and the interplay between system structure and controller design. Key projects include multi-timescale power network control, nonlinear wave dynamics in engineering systems, and distributed parameter systems with limited communication. Dr. Jensen has delivered invited talks at high-profile venues such as the International Symposium on Mathematical Theory of Networks & Systems (2024) and the System Level Synthesis Workshop (2022). She currently advises a team of graduate and undergraduate researchers, including Addie McCurdy, Andy Gusty, and Matt Baughman (co-advised with Prof. Hodge). Awards: UC Regents’ Graduate Fellowship (2016) Zonta Amelia Earhart Fellowship (2019) IFAC Conference Young Author Award Honorable Mention (2022) She teaches ECEN 3300 (Linear Systems) and ECEN 5738 (Nonlinear Control Systems) at CU Boulder. Her work has been published in IEEE journals and conferences, emphasizing theoretical contributions with practical engineering relevance.

Sai Mounika Errapotuمشاهده پروفایل

استادیار

• Cybersecurity
• Privacy Preservation
• Smart Grid Security
• +۶ مورد دیگر

Sai Mounika Errapotu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). She leads the Cyber Physical Systems Privacy and Security Enhanced Computing (CyPSEC) Lab, focusing on developing practical security and privacy solutions for hardware and software systems in distributed networks, IoT, and smart grids. Her research integrates cryptography, differential privacy, and optimization to address emerging challenges in cyber-physical systems. Education: Ph.D. in Electrical and Computer Engineering (University of Houston, 2018), B.Tech. in Electronics and Communication Engineering (Jawaharlal Nehru Technological University, 2013). Postdoctoral work: AI, Networking Technologies, and Security Lab, University of Houston (2018–2019). Her research interests span cybersecurity, privacy-preserving protocols, trust modeling, and optimization in smart grids, IoT, and wireless networks. She emphasizes application-specific solutions that balance security, privacy, and scalability. Recent articles highlight advancements in intrusion detection via GANs and neural networks, smart home IoT security protocols, and privacy-preserving techniques in healthcare and transportation systems. Major Grants: $782,500 ARL grant for GAN-based intrusion detection, $1.1M DOE NNSA consortium for power systems, and $140K PNNL grant for healthcare synthetic data. Awards: Miguel Izquierdo Teaching Excellence Award (2021), Rising Stars Award, and Best Dissertation Award (2018). Advising highlights include mentoring students like Humaira (CPS Rising Star), Nicholas Lopez (M.S. grad in IoT security), and Ismael Holguin (LLNL intern). The CyPSEC Lab actively publishes in IEEE and NAPS conferences, addressing vulnerabilities in protocols like DNP3 and smart home IoT systems. Labs/Teams: CyPSEC Lab focuses on bridging theory and practice in CPS security, collaborating with industry partners and national labs.

• Scientific computing
• Computational mathematics
• Numerical methods
• +۶ مورد دیگر

Christina C. Christara is a Professor in the Department of Computer Science at the University of Toronto, specializing in scientific computing and numerical methods. Her research focuses on numerical solutions of partial differential equations, high performance computing, parallel computation, and financial mathematics applications. She holds a Ph.D. in Computer Science from Purdue University (1988), an M.Sc. from Purdue (1986), and a B.Sc. in Mathematics from Aristotle University (1982). She has taught courses such as Numerical Methods for Optimization Problems (CSC466/2305), High-Performance Scientific Computing (CSC456-2306), and Numerical Algorithms (CSC436), emphasizing both theoretical and computational aspects. Her research interests span numerical weather prediction, computational finance, and advanced numerical techniques like spline collocation and penalty methods. She has supervised over 20 graduate students in topics ranging from GPU-accelerated PDE solvers to XVA pricing models. Her work often addresses challenges in computational efficiency and accuracy, with applications in engineering, finance, and environmental science. She is affiliated with the Numerical Analysis and Scientific Computing Group and actively contributes to high-performance computing methodologies.

• Applied Analytics
• Statistical Inference
• Time Series Analysis
• +۷ مورد دیگر

Dr. Laleh Tafakori is a Senior Lecturer in the Department of Statistics and Analytics at RMIT University's School of Science. Her research focuses on the intersection of statistical modeling, machine learning, and their applications in healthcare, finance, and environmental science. She is affiliated with the university's City Campus and can be contacted at laleh.tafakori@rmit.edu.au . Her teaching interests include Applied Analytics , Statistical Inference , Time Series Analysis , Mathematical Statistics , Stochastic Processes , and Probability Theory . She actively supervises research projects in areas such as: Healthcare modeling (e.g., diabetes onset prediction, maternal risk assessment) Environmental data analysis (e.g., extreme precipitation estimation via satellite data) Financial risk analysis (e.g., Value-at-Risk forecasting, credit portfolio management) Machine learning applications in complex networks and smart grids Her recent research trends emphasize predictive modeling for public health challenges, leveraging advanced statistical techniques (copula models, functional volatility) and machine learning (CNNs, random forests). She collaborates with institutions worldwide, addressing issues like Saudi Arabia's healthcare indicators and European financial systemic risk. While no formal awards are listed, her work demonstrates impactful contributions to interdisciplinary data science. Dr. Tafakori has advised over 16 students on topics ranging from diabetes epidemiology to edge computing optimization. Her research outputs include 28+ peer-reviewed articles, with a focus on methodological innovation and real-world problem-solving. She maintains active engagement in collaborative projects without explicitly listed grants.

• Network Protocols Engineering
• Cybersecurity
• Distributed Systems
• +۳ مورد دیگر

Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.

• Environmental Science
• Oceanography
• Data Visualization
• +۳ مورد دیگر

Alastair Gemmell is affiliated with the University of Reading, contributing to research in environmental science and oceanography. His work focuses on developing web-based tools for visualizing and analyzing environmental and oceanographic data, including the creation of portals and applications for model-data comparison. Key research interests include environmental data visualization, oceanographic modeling, computational modeling, and geospatial technologies. His publications span from 2007 to 2013, emphasizing interdisciplinary approaches combining environmental science with computational methods. Notable contributions include the development of a Web Map Service for multidimensional environmental data visualization and an ECOOP web portal for coastal oceanography data comparison. These projects highlight his expertise in integrating geospatial technologies with environmental data analysis.

• Climate Science
• Environmental Data Management
• Geographic Information Systems (GIS)
• +۳ مورد دیگر

Jon Blower is an academic affiliated with the University of Reading's Department of Geography and Environmental Science. His work focuses on climate data management, environmental data visualization, and geospatial technologies. He has contributed to projects like the C3S ECEM climate service, the CHARMe metadata initiative, and the GODIVA2 web mapping system. His research spans cloud computing applications in environmental science, oceanographic data dissemination, and urban density analysis. He has authored over 40 peer-reviewed publications and technical reports, including foundational work on Climate Forecast metadata conventions and cloud-based GIS systems. Blower has led interdisciplinary efforts in integrating environmental data quality frameworks and developing open-source tools for geospatial analysis. Education & Background: While specific educational details are not explicitly stated, his extensive contributions to environmental science and computing imply advanced training in these fields. His work often bridges computer science and environmental applications, suggesting a multidisciplinary academic background. Research Focus: Key areas include: Data interoperability standards (e.g., CF metadata conventions) Climate service development for energy policy Interactive environmental data visualization systems Cloud computing for large-scale environmental datasets Oceanographic data synthesis and quality frameworks Recent Trends in Publications: Recent work emphasizes urban systems analysis (2023), renewable energy-climate integration (2018), and cloud infrastructure for environmental science (2014/2016). Earlier contributions focused on ocean data systems (2009-2012) and grid computing for climate modeling (2006-2009). Awards & Grants: No specific awards listed, but his sustained contributions to major projects like GODAE and MELODIES reflect institutional recognition. Active in grant-funded initiatives related to environmental data infrastructure. Labs/Teams: Collaborates with teams at the National Oceanography Centre, NASA, and European climate initiatives. Core contributor to projects managed by organizations like ESA and the UK's Natural Environment Research Council (NERC).

• Multiphase Flows
• Computational Fluid Dynamics
• Turbulence
• +۴ مورد دیگر

Dr. Lina Baroudi is an Associate Professor in Mechanical Engineering at Manhattan University. Her research focuses on multiphase flows, computational fluid dynamics, and turbulence, with applications in nuclear reactor thermal hydraulics and mesoscopic simulation techniques. She holds a Ph.D. from The City College of New York and a B.S. from Damascus University. Education: Ph.D., The City College of New York MPhil, The City College of New York M.S., The City College of New York B.S., Damascus University Her research interests include studying surface-tension-driven flows, particle-laden flows, and developing predictive models using advanced computational methods like Lattice Boltzmann (LB), Molecular Dynamics (MD), and parallel high-performance computing. She has contributed to understanding Taylor-Couette flow dynamics, bubble rising mechanics, and droplet coalescence phenomena. Dr. Baroudi has been awarded prestigious fellowships including the Nuclear Regulatory Commission Graduate Fellowship (2015-2016), MRSEC PREM Fellowship (2011-2015), and NSF Graduate Research Fellowship (2009-2010). Her work bridges fundamental fluid dynamics with industrial and nuclear engineering applications. She teaches courses such as Engineering Mathematics, Applied Heat Transfer, and Finite Element Analysis. Her lab focuses on multiphase flow modeling and high-performance computing, collaborating with ASME, APS, and other professional societies.

Faegheh Moazeniمشاهده پروفایل

استادیار

• Mathematical Optimization
• Design Optimization of Critical Infrastructure
• Cybersecurity of Smart Systems
• +۵ مورد دیگر

Faegheh Moazeni is an Assistant Professor in the Department of Civil & Environmental Engineering at Lehigh University. Her research focuses on mathematical optimization, cybersecurity of critical infrastructure systems, and smart city technologies. She leads projects in water-energy nexus systems, resilient microgrids, and data-driven predictive control. Her work integrates machine learning, nonlinear model predictive control (MPC), and cyber-physical security frameworks to enhance infrastructure resilience. Recent efforts include hardware-in-the-loop validation of control systems and stochastic modeling for offshore renewable energy. Key research areas include securing smart water systems against cyberattacks, optimizing energy dispatch in islanded microgrids, and developing adaptive algorithms for real-time operational challenges. Her interdisciplinary approach addresses challenges at the intersection of environmental engineering, control theory, and cybersecurity. Notable contributions include frameworks for detecting cyberattacks in water networks, economic dispatch models for water-energy systems, and stability-guaranteed control architectures for naval and civilian infrastructure.

DAVID LOPEZ VILARIÑOمشاهده پروفایل

استاد

• Computer Architecture
• Computer Vision
• FPGA Acceleration
• +۳ مورد دیگر

David Lopez Vilariño is a **Professor** at the **University of Santiago de Compostela**, affiliated with the **Department of Electronics and Computing** within the **Faculty of Physics**. He earned his PhD in 2001 with a thesis titled *"Active contours at the pixel level: design and implementation on cellular network architectures,"* advised by Dr. Diego Cabello Ferrer. His research focuses on **Computer Architecture**, **FPGA Acceleration**, **LiDAR Data Analysis**, and **Embedded Systems**, with notable contributions to LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He is part of the **ARQCOMP (Computer Architecture)** and **Artificial Vision** research groups. His work spans topics such as high-performance computing, parallel processing, and hardware optimization for vision-capable systems. Key projects include developing FPGA-based solutions for real-time video surveillance, retinal vessel analysis, and autonomous navigation systems. Publications emphasize **LiDAR data processing**, including algorithms for road detection, power line characterization, and 3D point cloud analysis. He also pioneered tools like the *Open Lidar Visualizer and Analyser* for 3D stereoscopic visualization. His expertise bridges hardware design and software development, particularly in leveraging FPGAs for embedded vision systems. No scientific awards or grants are explicitly listed, but his prolific publication record highlights sustained innovation in computer vision and geospatial technologies. His research team collaborates on projects involving manycore systems, GPU acceleration, and reconfigurable computing architectures.

• Renewable Energy Sources
• Distributed Generation
• Power Systems Engineering
• +۹ مورد دیگر

Stavros Papathanasiou is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Electrical and Computer Engineering and the Department of Electric Power. His academic career includes a PhD (1997) and Diploma (1991) in Electrical Engineering from NTUA. He specializes in renewable energy systems, power electronics, grid integration of renewables, energy storage, and autonomous power systems. His research focuses on optimizing energy systems with high renewable penetration, microgrids, and grid stability in isolated/islanded grids. Prof. Papathanasiou has led over 100 projects addressing regulatory frameworks for RES and storage, grid codes, interconnections, and energy policy. He collaborates internationally with utilities like TEPCO, KEPCO, and TERNA. His work emphasizes technical solutions for integrating renewables, managing grid stability, and enhancing energy resilience in non-interconnected systems. Key research areas include wind energy systems, photovoltaic technologies, battery storage optimization, and hydrogen storage applications. He has published extensively (>170 papers) in journals like IEEE Transactions on Energy Conversion and Renewable Energy, focusing on technical challenges in renewable integration, power quality, and system dynamics. His lab, the Electric Machines and Power Electronics Laboratory, develops innovative solutions for distributed energy systems. Prof. Papathanasiou advises on national and EU energy policies, contributing to the design of state aid frameworks for renewable projects and grid infrastructure. He has advised governments on island decarbonization strategies and participated in international initiatives like the MERGE project on EV-grid interactions.