جست‌وجوی استاد و پژوهشگر

• Magnetism
• Spintronics
• Magnetic Microscopy
• +۳ مورد دیگر

Dr. Claire Donnelly is a Research Professor and Lise Meitner Group Leader heading the Spin3D research group at the Max Planck Institute for Chemical Physics of Solids in Dresden, Germany, where she investigates three-dimensional magnetic systems using advanced imaging techniques. She holds a distinguished research position focused on nanoscale magnetism and spintronics. Education & Career Following her MPhys at the University of Oxford, Donnelly completed her PhD at ETH Zurich and Paul Scherrer Institute (2017). Her doctoral work on 3D magnetic systems received multiple honors. She subsequently held postdoctoral positions at ETH Zurich and the University of Cambridge as a Leverhulme Early Career Research Fellow before establishing her independent group at MPI-CPFS in 2021. Research Focus Donnelly specializes in developing cutting-edge X-ray magnetic tomography techniques to visualize 3D magnetization dynamics at the nanoscale. Her work encompasses: Three-dimensional magnetic nanostructures and topological spin textures Advanced imaging methods including X-ray vector nanotomography and soft X-ray laminography Chiral magnetic interactions and domain wall dynamics in complex geometries Her research bridges fundamental magnetism with potential applications in high-density data storage and quantum computing. Publication Trends Donnelly's recent publications demonstrate strong focus on three-dimensional characterization of magnetic systems, with recurring themes: nanoscale topological textures (skyrmions, Bloch points), advanced X-ray tomography techniques, chiral interactions in synthetic antiferromagnets, and curvature effects in magnetic nanostructures. Her work consistently integrates novel imaging methodologies with fundamental physics exploration. Honors APS Richard Greene Dissertation Award Werner Meyer-Ilse Memorial Award ETH Medal for outstanding doctoral thesis SPS Award for Computational Physics L'Oréal-UNESCO For Women in Science Fellowship European Magnetism Association Young Scientist Award Leadership As founder of the Spin3D group, Donnelly leads a research team developing next-generation magnetic imaging techniques. Her group focuses on creating novel approaches to visualize and manipulate 3D magnetic configurations in complex nanomaterials, with ongoing work in nanofabrication of magnetic architectures and time-resolved imaging of magnetization dynamics.

Sofia Wikströmمشاهده پروفایل

دانشیار

• Marine Ecology
• Coastal Ecosystems
• Benthic Habitat Protection
• +۷ مورد دیگر

Sofia Wikström is an Associate Professor at Stockholm University , affiliated with the Baltic Sea Centre . Her work focuses on marine ecology with specific emphasis on anthropogenic pressures (e.g., eutrophication, boating, physical disturbance), benthic habitat mapping and monitoring , biological invasions , and seaweed/seagrass ecology . Research Trends Wikström’s recent publications highlight: Carbon and nutrient reservoir dynamics in shallow coastal bays (2025) Greenhouse gas fluxes in coastal ecosystems (2025) Environmental gradient impacts on aquatic plant meadows (2025) Advancements in ecosystem-based management through projects like BalticCAT (2024) Strategies for establishing no-take zones to preserve fish stocks (2024) Projects Current initiatives include: Coastal exploitation and marine habitats – investigating human impacts on Baltic Sea ecosystems BalticCAT – developing cumulative effect assessment tools for the Baltic Sea Synthetic chemicals – analyzing chemical impacts on Baltic Sea biodiversity

Khoi Dang Lyمشاهده پروفایل

پژوهشگر ارشد

• Soft Robotics
• Cyber-Physical Systems
• Control Systems
• +۳ مورد دیگر

Dr. Khoi Dang Ly is a Postdoctoral Research Associate at Cornell University, specializing in robotics with a focus on embedded control systems and soft robotics. He holds a Ph.D. in Mechanical Engineering (2021) from the University of Colorado Boulder and a B.Sc. in Mechanical Engineering (2017) from Texas Tech University. His research targets the integration of high-speed electro-hydraulic actuators, self-sensing mechanisms, and model predictive control to advance the autonomy of soft robotic systems. Ph.D. in Mechanical Engineering (University of Colorado Boulder, 2021) B.Sc. in Mechanical Engineering (Texas Tech University, 2017) Dr. Ly's work bridges theoretical innovation and practical application, with projects on soft robotic shape displays, electro-hydraulic rolling wheels, and magnetic sensing for actuator control. His research extends to tactile interfaces, bio-inspired locomotion, and energy-efficient designs. He has secured over $800,000 in grants from ARPA-E and DOE for robotics applications in subterranean excavation and renewable energy harvesting. His 15 most recent publications highlight expertise in soft robotics, nonlinear control, and embedded sensing technologies. Key areas include high-speed actuation, magnetic displacement sensing, and model predictive control for hybrid dynamic systems. While no formal scientific awards are explicitly listed, his grants and patent filings underscore significant contributions to the field. Advised 5 students on projects ranging from wave tanks to HASEL actuator characterization Developed embedded high-voltage power systems and control algorithms Co-invented 3 U.S. patents, including a magnetic sensing method for soft actuators Dr. Ly's work aligns with future goals of applying system design innovations to human-centric challenges, such as improving sensorimotor function for the elderly and enhancing human-robot interaction through tangible interfaces.

Aaditya Khanalمشاهده پروفایل

استادیار

• Reservoir Simulation
• Carbon Sequestration
• Hydrogen Storage
• +۴ مورد دیگر

Aaditya Khanal, Ph.D., is an Assistant Professor of Chemical Engineering & Petroleum Engineering at The University of Tulsa's College of Engineering & Computer Science. His research focuses on modeling fluid flow in porous media with applications to energy extraction and climate change mitigation. Dr. Khanal's research interests include: CO2 sequestration in saline aquifers Underground hydrogen storage Hydrocarbon production forecasting for unconventional reservoirs Phase behavior modeling of hydrocarbons Machine learning applications to solve complex engineering problems His research methodology combines both numerical simulations and experimental approaches to address critical challenges in energy transition and sustainable resource management. Dr. Khanal has published extensively in the areas of carbon sequestration, hydrogen storage, and machine learning applications in reservoir engineering, with a notable focus on recent advancements in 2024-2025 publications that address critical challenges in underground energy storage and carbon management. Dr. Khanal's scholarly work demonstrates a strong interdisciplinary approach, bridging petroleum engineering, chemical engineering, and data science to develop innovative solutions for energy transition challenges. His recent publications show particular emphasis on hydrogen storage technologies, CO2 mineralization processes, and the application of machine learning to reservoir characterization.

Don P. Chambersمشاهده پروفایل

استاد

• Sea Level Rise
• Global Climate Change
• Ice Mass Balance
• +۴ مورد دیگر

Don P. Chambers is a Professor of Physical Oceanography at the University of South Florida's College of Marine Science. With over 25 years of experience, he is an internationally recognized expert in sea level science, utilizing satellite observations to study climate change and ocean dynamics. Education: Ph.D., University of Texas at Austin, 1996 Research Interests: Dr. Chambers specializes in sea level rise , global climate change , and ice mass balance of Greenland and Antarctica. His work focuses on separating natural climate variability from anthropogenic change, using satellite altimetry and gravimetry to study ocean circulation, heat storage, and mass redistribution. His research spans ocean dynamics , glaciology , and satellite oceanography , contributing to international climate assessments. Publication Trends: His recent work (2023-2025) emphasizes regional sea level change, deep ocean heat content, and the use of GRACE/GRACE-FO satellite data for monitoring ocean mass and currents. He has contributed significantly to global ocean observing systems, including the Surface Ocean CO2 Atlas and studies on Southern Ocean dynamics. Scientific Awards: No specific awards listed in the provided text. Advising and Grants: Dr. Chambers has served on high-profile committees including the Intergovernmental Panel on Climate Change (2010-2014) and the National Academy of Sciences Decadal Survey (2016-2018). His research is supported by funding from the National Science Foundation, particularly for Southern Ocean research and satellite oceanography initiatives. Labs and Teams: He leads the Satellite Oceanography Laboratory at USF and is a key member of the Southern Ocean Science group, which conducts interdisciplinary research around Antarctica and mentors graduate students and postdocs.

Tsichlas Kostasمشاهده پروفایل

دانشیار

• Algorithms and Data Structures for Main and Secondary Memory
• Algorithms and Data Structures in Distributed Environments
• Computational Geometry
• +۵ مورد دیگر

Tsichlas Kostas serves as an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece, within the Division of Applications and Foundations of Computer Science. His research spans fundamental and applied computing domains with active involvement in the ML@Cloud laboratory. His expertise centers on algorithmic innovation across multiple dimensions: Memory-optimized algorithms for primary/secondary storage systems Distributed environment data structures and computational geometry Physics-informed computing and complex network analysis Specialized domains including alphanumeric and graph algorithms Recent publication trends (2022-2025) demonstrate concentrated research in historical graph management systems, temporal network analysis, and physics-computing intersections. Key contributions include vertex-centric partitioning strategies, temporal community detection frameworks, and machine learning applications for energy data motif discovery. He maintains active laboratory affiliations with the LARGE-SCALE CLOUD DATA MACHINE LEARNING WORKSHOP (ML@Cloud lab), Combinatorial Algorithms Laboratory, and Distributed Systems and Telematics Laboratory, contributing to Greece's computational research infrastructure.

Lavinia Pataraمشاهده پروفایل

پژوهشگر

• Southern Ocean Circulation
• Marine Biogeochemistry
• Climate Change
• +۵ مورد دیگر

Dr. Lavinia Patara is a leading researcher at the GEOMAR Helmholtz Centre for Ocean Research in Kiel, Germany, where she has worked since 2012. Her work focuses on Ocean Circulation and Climate Dynamics , particularly in the Southern Ocean, and its interplay with Marine Biogeochemistry . She employs high-resolution ocean models (e.g., ORION10 at 0.1° resolution) and advanced data analysis techniques to investigate how wind stress, buoyancy forcing, and mesoscale eddies regulate ocean ventilation, carbon uptake, and climate feedbacks. Education: Ph.D. in Environmental Sciences (2010), University of Bologna, Italy M.Sc. in Environmental Sciences (2005), University of Milano-Bicocca, Italy Research Highlights: Patara's work has revealed that recent Southern Ocean climate changes since the 1980s have increased interior ventilation through wind-buoyancy interactions. She demonstrated that ongoing Antarctic warming may strengthen the North Atlantic Meridional Overturning Circulation and showed how mesoscale eddy fields respond differently to climate variability across ocean basins. Current projects include a DFG-funded initiative on Southern Ocean carbon sinks and development of machine learning methods to detect carbon biomes via adaptive clustering. Advising and Grants: She has supervised numerous graduate students, including Sweety Mohanty (PhD), Helene Hollitzer (Master's), and Mariana Pacheco (Master's thesis on eddy properties). Her research has been funded by the German Research Foundation (DFG), the MarDATA graduate school, and Italian Ministry of Research projects.

• Computer Networks
• Network Security
• Internet of Things
• +۳ مورد دیگر

Utz Roedig is a Full Professor of Computer Science at University College Cork (UCC), Ireland, and a Principal Investigator at the CONNECT Centre. Previously, he served as Professor at Lancaster University, UK, leading the Academic Centre of Excellence in Cyber Security Research (ACE-CSR), and held research positions at UCC and Darmstadt University of Technology, Germany. Education: Dipl.-Ing in Engineering from Darmstadt University of Technology Dr.-Ing (Doctor of Engineering) from Darmstadt University of Technology His research spans computer networks and network security , with over 150 publications in IoT security, industrial control systems, 5G networks, and voice assistant vulnerabilities. Recent work integrates machine learning for intrusion detection and fault prediction while addressing human factors in secure coding. Industry collaborations have yielded multiple patents. Analysis of 2023-2025 publications reveals dominant themes in industrial IoT security (e.g., resilient time-sensitive networking), 5G infrastructure protection, and voice assistant threats (wake word jamming/spoofing). His team develops countermeasures using protocol design and ML-driven anomaly detection, with growing emphasis on human-centric security challenges. Scientific Awards: No specific awards are documented, though research impact is evidenced by patents and sustained funding from major international bodies. Advising and Grants: Secured funding from EU, EPSRC, and industry partners. Serves as grant reviewer for EPSRC (UK), ESF (EU), and FWO (Belgium), and on TPCs for DCOSS, EWSN, and IPSN conferences. Student supervision details are unavailable, but research leadership implies active mentoring. Grants: EU, EPSRC, Industry Review Roles: EPSRC, ESF, FWO Labs and Teams: Leads research at UCC's CONNECT Centre (telecommunications security). Previously directed Lancaster University's ACE-CSR, a UK government-designated cybersecurity research hub.

• Hydrogen Combustion
• Sustainable Energy Systems
• Internal Combustion Engines
• +۴ مورد دیگر

Joshua Lacey is a Senior Lecturer in the Department of Mechanical Engineering , affiliated with the Faculty of Industrial Engineering Sciences at KU Leuven . He leads the EnergyVille TME Subdivision and is actively involved in promoting sustainable energy systems and combustion technologies through the KIEM – KU Leuven Institute for Energy and Society . His research focuses on hydrogen combustion , CO2-reduction strategies , and numerical simulation tools for energy systems. He has contributed to projects such as the Decarbonization Lab and the University of Melbourne Global PhD Partnership , emphasizing hydrogen engine optimization and wind-assisted shipping. Joshua Lacey serves as a promotor or co-promotor for numerous ongoing research initiatives, including flame-wall interactions , CO2-diluted oxy-fuel combustion , and tomographic PIV systems for fluid dynamics analysis. He supervises students such as M. Ghorbani Poshtmashhadi and contributes to the development of carbon-free emission engines using direct-injected hydrogen and wind propulsion technologies.

Miguel Ramirez Gonzalezمشاهده پروفایل

پژوهشگر

• Power Systems
• Renewable Energy Integration
• Machine Learning
• +۵ مورد دیگر

Dr. Miguel Ramirez Gonzalez is a Researcher at the Zurich University of Applied Sciences (ZHAW) , affiliated with the School of Engineering and the IEFE Electric Power Systems and Smart Grids department. His research focuses on modern power system challenges, including renewable integration, stability enhancement, and machine learning applications for grid security. Research Focus Dr. Gonzalez's work spans: Power System Dynamics : Inertia quantification, stability assessment, and oscillation damping. Renewable Integration : Grid-forming converters, HVDC links, and solar/wind integration. Computational Methods : Machine learning (CNNs, transfer learning) for security assessment and optimization. Real-time Simulation : Hardware emulation and co-simulation of transmission-distribution networks. Project Leadership He leads key initiatives: Deputy Project Leader for inertia measurement to support renewables (ongoing). Project Leader for expanding the CE-Nordic dynamic grid model using OPAL-RT (completed). Team member in Europe-North Africa interconnection studies (completed). Publication Trends His 15 most recent works (2020-2025) emphasize machine learning-driven solutions for power system stability, real-time simulation validation, and converter-based grid support. Dominant themes include CNN architectures for security assessment, spatio-temporal data analytics, and hardware-in-the-loop testing for low-inertia systems. Laboratory & Collaboration He contributes to the IEFE laboratory, specializing in dynamic hardware emulation and real-time grid simulation. Collaborations include work with international utilities and conferences like IEEE PowerTech and CIGRE.

Aggelos Zacharopoulosمشاهده پروفایل

مدرس ارشد

• Solar Energy
• Renewable Energy Systems
• Sustainable Building Design
• +۳ مورد دیگر

Aggelos Zacharopoulos is a Senior Lecturer at Ulster University's Belfast School of Architecture and the Built Environment, serving as Course Director for the BSc (Hons) in Energy. He is a core member of the Built Environment Research Institute and the Centre for Sustainable Technologies (CST), where he leads research on solar thermal and photovoltaic systems. BSc (Hons) in Physics, University of Patras (Greece) PhD in Design, Modelling and Experimental Characterisation of Line-axis Concentrators for Solar Thermal and PV Applications (Ulster University, 2001) His research focuses on solar photovoltaic/thermal systems , building integration of renewable energy technologies , multifunctional façade glazing systems , and energy efficiency in industrial processes . He has extensive expertise in experimental characterisation using CST solar simulator facilities and has pioneered concentrating photovoltaic glazing (CoPVG) innovations for building integration. His recent publications demonstrate trends in solar energy assessment , hybrid solar technologies , thermal diode applications , and building energy performance . Key themes include solar radiation analysis, energy storage innovations, and sustainable building design. Scientific awards include: Fellow of the Higher Education Academy (2014) Aggelos has supervised PhD students at Ulster University and examined international PhD projects. He leads externally-funded projects like the Royal Society-supported CoPVG systems research and the Department for the Economy-funded Passive House Zero Emission Climate Control initiative. As a member of the editorial board for Renewable Energy journal, he contributes to solar energy research dissemination. He actively collaborates through EU COST Action TU1205 working group and has participated in international workshops in Botswana and the UK. His work aligns with UN Sustainable Development Goals 7 (Affordable Energy) and 13 (Climate Action).

• Ecological impacts of climate change
• Ecological adaptation
• Biological oceanography
• +۷ مورد دیگر

Professor Philip Boyd is a leading marine scientist at the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, where he holds the position of Professor of Marine Science within the Ecology and Biodiversity department. His research focuses on the critical role of the Southern Ocean in global climate processes, particularly examining how marine ecosystems respond to and influence climate change. Boyd's work integrates field observations, experimental approaches, and modeling to understand biogeochemical cycles in polar and subpolar regions. Professor Boyd's research interests center on ecological impacts of climate change and adaptation in marine environments, with particular emphasis on biological oceanography and global change biology. His work investigates the Southern Ocean's biological carbon pump, iron limitation of phytoplankton, ocean acidification effects, and the ecological consequences of changing sea ice patterns. He employs cutting-edge technologies including autonomous profiling floats (BGC-Argo) and ship-based observations to study carbon cycling, nutrient dynamics, and ecosystem responses across spatial and temporal scales in the Southern Ocean. Analysis of Professor Boyd's recent publications reveals a strong focus on understanding carbon cycling mechanisms in the Southern Ocean, particularly the biological carbon pump and its sensitivity to climate change. His research spans multiple scales from microbial processes to basin-wide biogeochemical patterns, with increasing emphasis on marine carbon dioxide removal (mCDR) approaches and their potential role in climate mitigation. A notable trend in his recent work is the integration of observational data with modeling approaches to assess climate risks to Southern Ocean ecosystems. ARC Laureate Fellowship ($2.496 million) for 'Geoengineering the Southern Ocean? A transdisciplinary assessment' Multiple ARC Discovery Projects on Southern Ocean biogeochemistry Marie Curie International Outgoing Fellowship Leadership roles in major international research programs including SOLACE (Southern Ocean Large Areal Carbon Export) Contributions to IPCC assessment reports as an author Professor Boyd actively supervises numerous PhD students, with over 10 completed doctoral theses and several current students examining topics ranging from ocean temperature extremes to physiological tolerance of Southern Ocean crustaceans. His research is supported by substantial grant funding totaling millions of dollars from diverse sources including the Australian Research Council, National Environmental Research Council, CSIRO, and international collaborators. His work has significant policy relevance, particularly regarding climate change mitigation strategies involving ocean processes. Professor Boyd leads research within the Institute for Marine and Antarctic Studies, collaborating with international teams across multiple Southern Ocean research expeditions. His work connects with the Australian Centre for Excellence in Antarctic Science and the Southern Ocean Observing System, contributing to large-scale efforts to monitor and understand polar ecosystem changes. His laboratory and field research integrates physical, chemical, and biological approaches to address fundamental questions about ocean-climate interactions.

• Uncertainty Quantification
• Multiscale Simulation
• Machine Learning
• +۷ مورد دیگر

Dr. Yumeng Li is an Assistant Professor at the University of Illinois at Urbana-Champaign, Department of Industrial and Enterprise Systems Engineering. Prior to this, he was an Assistant Professor at Wichita State University and a Postdoctoral Researcher at Vanderbilt University. Ph.D., Aerospace Engineering, Virginia Tech (2014) M.S., Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology (2009) B.S., Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology (2007) Dr. Li’s research focuses on uncertainty quantification in multiscale simulation, physics-based machine learning, surrogate modeling, and integrated computational material engineering. His work bridges computational modeling with experimental validation in material design and digital manufacturing. His publications span topics like corrosion modeling, additive manufacturing, battery systems, polymer crystallization, and life cycle assessment. Recent works emphasize multi-physics simulations, adaptive machine learning, and sustainable material design. Dr. Li teaches courses including SE 310 (Design of Structures & Mechanisms), SE 410 (Component Design), and SE 598 (Machine Learning in Material Design).

Khalid Omariمشاهده پروفایل

پژوهشگر ارشد

• Spintronics
• Nanomagnetic Materials
• Domain Wall Dynamics
• +۴ مورد دیگر

Dr Khalid Omari is a Research Fellow currently working in Dr Liu's spintronics group, where he leads the nanofabrication of spin-wave structures using topological insulators. His research focuses on designing, micromagnetic modelling, and nanofabrication of spin-wave waveguides for quantum logic operations. Previously, he was a research fellow at the University of Nottingham working on antiferromagnetic spintronics and a postdoc at the University of Manchester on graphene spintronics. His educational background includes: BEng in Electrical and Computer Engineering from the American University of Beirut (2006) MSc in Nanotechnology from the University of Sheffield (2011) PhD in Nanomagnetic Materials from the University of Sheffield (2016) Dr Omari's primary research interests lie in spintronics, with a focus on nanomagnetic materials and domain wall dynamics. He has made significant contributions in the areas of graphene spintronics, antiferromagnetic materials, and topological spintronics. His work aims at developing novel spin-based devices for low-energy and high-speed computing, including logic architectures and quantum information processing. His publication record, spanning from 2014 to 2020, demonstrates a consistent focus on domain wall phenomena and spin-wave devices. The articles reveal a progression from fundamental studies of domain wall motion in magnetic nanowires to the development of antiferromagnetic switching and topological insulator-based spin-wave structures, highlighting his expertise in both experimental and computational aspects of spintronics. His notable recognition includes: Daniel Doncaster Prize (2016) Dr Omari has served as Principal Investigator for a research project in the Department of Electronic Engineering, though the project status is currently Not started. He has collaborated with prominent researchers in the field, such as Dr. T. Hayward, on domain wall logic and chirality control. He is an active member of the Nano-Electronics and Materials Group, contributing to cutting-edge research in spintronics and nanofabrication.

Moon-Ghu Parkمشاهده پروفایل

استاد

• Neutron Detection
• Nuclear Instrumentation & Control
• Charged Particle Transport
• +۵ مورد دیگر

Professor Moon-Ghu Park is affiliated with Sejong University's Department of Quantum and Nuclear Engineering. With 30+ years of experience in nuclear R&D, he has held key roles at Korea Electric Power Research Institute (KEPRI) and Korea Hydro & Nuclear Power's Central Research Institute before transitioning to academia in 2013. Ph.D. in Nuclear & Quantum Engineering (KAIST, 1993) M.S. in Nuclear Engineering (KAIST, 1986) B.S. in Nuclear Engineering (Hanyang University, 1984) His research spans neutron detection, nuclear reactor protection systems, and small modular reactor design, with recent focus on nuclear big data analytics and AI applications. His lab develops advanced signal processing techniques for reactor monitoring and safety analysis. 2020-2025 publications demonstrate his work on machine learning for nuclear safety, compressive sensing for detector signal reconstruction, and Monte Carlo simulations for spent fuel analysis. Research keywords include: Nuclear Engineering, Machine Learning, Reactor Physics, Signal Processing, Big Data, and Reactor Safety. ABI American Medal of Honor (2006) Korea Electric Power Corporation R&D Award (2009) Engineer of the Month (2008) Science and Technology Minister Award (2000) Contact: mgpark@sejong.ac.kr | Office: Da 211A | Research lab: Nuclear Instruments and Informatics Lab