Find Academic Supervisors

• Gravitational Physics
• Cosmology
• Astrophysics
• +5 more

Jose Maria Ezquiaga is an Associate Professor at the Theoretical high energy, astroparticle and gravitational physics section of the Niels Bohr Institute (NBI), University of Copenhagen's Faculty of Science. He joined NBI as an Assistant Professor in 2022 and was subsequently promoted to Associate Professor. Prior to his position at Copenhagen, he held a prestigious NASA Einstein Fellowship at the University of Chicago. His work focuses on exploiting gravitational wave data to explore fundamental physics questions at the intersection of cosmology and astrophysics. PhD from Universidad Autonoma de Madrid (2019) NASA Einstein Fellow at University of Chicago Associate Professor at Niels Bohr Institute (2022-present) Dr. Ezquiaga's research centers on probing gravity and unveiling the nature of dark energy and dark matter through gravitational wave observations. His work spans gravitational lensing of gravitational waves, black hole formation mechanisms, primordial black holes as potential dark matter candidates, and cosmological applications of gravitational wave data. He actively investigates how gravitational wave observations can test general relativity and alternative theories of gravity in extreme regimes. His recent publications (2023-2025) demonstrate a strong focus on gravitational lensing effects in gravitational wave astronomy, with particular attention to waveform distortions, identification techniques, and cosmological applications. His work on spectral sirens and cosmology from gravitational wave data represents an innovative approach to measuring cosmic expansion without traditional astrophysical assumptions. NASA Einstein Fellow Member of LIGO Scientific Collaboration Member of LISA Consortium Member of Cosmic Explorer Collaboration As a member of multiple major international collaborations including LIGO, LISA, and Cosmic Explorer, Dr. Ezquiaga contributes to both theoretical development and observational analysis in gravitational wave astronomy. His research group focuses on developing novel techniques for extracting cosmological information from gravitational wave signals and testing fundamental physics through multi-messenger observations. He has been involved in numerous significant discoveries related to gravitational wave lensing and its implications for cosmology and fundamental physics.

• Control Systems
• Signal Processing
• Automation Engineering
• +1 more

Professor Minyue Fu is an Honorary Professor in the School of Engineering at the University of Newcastle, Australia, specializing in Electrical and Computer Engineering. With over 30 years of research experience, he has established himself as a leading expert in control systems and signal processing, having published over 500 research papers with an H-index of 55. His academic journey began with a Bachelor's degree from the University of Science and Technology of China, followed by M.S. and Ph.D. degrees from the University of Wisconsin-Madison. Prof. Fu's research interests span a broad range of topics in control theory and signal processing. His work consistently focuses on fundamental theoretical problems with practical applications in diverse fields including power systems, sensor networks, multi-agent systems, and cyber-physical systems. He has made significant contributions to distributed control algorithms, stochastic systems, quantization effects in control, and networked systems. His recent publications (2021-2024) demonstrate continued productivity and relevance in the field, with research spanning decentralized optimal control, anomaly detection in cyber-physical systems, cart-pole control systems, and mean-field games. These works reflect his ability to bridge theoretical control concepts with practical engineering challenges, particularly in the context of modern networked and distributed systems. Fellow of IEEE (2004) Fellow of IFAC (2022) Fellow of Engineers Australia Fellow of Chinese Association of Automation (2018) Throughout his career, Prof. Fu has held significant editorial positions including Editor of IEEE Transactions on Signal Processing (2010-2014) and Associate Editor for several prestigious journals. His research has been supported by numerous grants, though specific details aren't provided in the current text. His laboratory work has focused on practical implementations of control algorithms in various systems, demonstrating the real-world applicability of his theoretical contributions. Prof. Fu has also supervised numerous students throughout his career, though specific names aren't listed in the available information.

Weiwei HuView profile

Professor

• Applied Mathematics
• Partial Differential Equations
• Mathematical Control Theory
• +3 more

Weiwei Hu is a Professor in the Department of Mathematics at the University of Georgia, specializing in applied mathematics with a focus on control theory and fluid dynamics. Her research bridges theoretical analysis and computational methods to address complex problems in partial differential equations and optimal control systems. She received her Ph.D. in Mathematics from Virginia Tech, establishing the foundation for her expertise in mathematical modeling and analysis. Her educational background directly informs her innovative approaches to fluid dynamics and control problems. Professor Hu's research spans approximation and mathematical control theory of partial differential equations, optimal control of transport and mixing via fluid flows, well-posedness and long-time behavior of mathematical fluid dynamics, data-driven optimal control for network dynamics, computational methods for model reduction, and reliability analysis of renewable systems. She develops advanced theoretical frameworks and numerical algorithms to solve boundary control problems in Stokes and Navier-Stokes flows, with applications in engineering and environmental systems. Her publication record from 2018-2023 reveals consistent advancement in fluid flow control, particularly in optimal mixing and transport phenomena. She has pioneered numerical methods for boundary control of fluid systems while expanding into data-driven approaches for network dynamics and renewable energy applications. Her collaborative work with institutions including Kansas State University, Missouri S&T, and Carnegie Mellon University demonstrates the interdisciplinary impact of her research. Her scientific contributions have been recognized with the prestigious Humboldt Research Fellowship for Experienced Researchers in 2024. Professor Hu has secured over $1.5 million in research funding as principal investigator from NSF, AFOSR, and DARPA, including a 2023-2026 AFOSR grant on hybrid control of semi-dissipative systems and multiple NSF collaborative projects addressing deep-learning-enabled optimization for power systems and computational methods for optimal transport. Her grant portfolio reflects leadership in securing competitive funding for high-impact mathematical research. She actively collaborates with researchers across the United States and Europe on interdisciplinary projects integrating PDE modeling, machine learning, and topology analysis for applications in MRI analysis and renewable energy systems, demonstrating strong leadership in collaborative mathematical research.

Tomislav PlesaView profile

Lecturer

• Synthetic Biology
• Mathematical Biology
• Biochemical Systems
• +4 more

Dr. Tomislav Plesa is a Lecturer and Fellow at Peterhouse, University of Cambridge. His research bridges mathematics and biology, focusing on synthetic biology and the construction of deterministic/stochastic dynamical systems for biological substrates. He completed his PhD at the University of Oxford (2018) and postdoctoral work at Imperial College London (2021). Education: Doctoral Research, Mathematical Institute, University of Oxford (2018) Postdoctoral Research, Department of Bioengineering, Imperial College London (2021) Research Interests: Dr. Plesa investigates design principles of living systems and challenges in biochemical system design. His work includes integral feedback mechanisms, stochastic approximations, noise utilization in molecular computing, and chemical reaction network dynamics. He explores both theoretical and applied aspects of synthetic biology, with a focus on deterministic/stochastic modeling and mathematical approximations. Publication Trends: Recent works (2023–2024) emphasize chemical reaction networks, integral feedback, and stochastic control. Earlier publications (2016–2021) address noise dynamics, bistability, and homoclinic bifurcations. His research spans nonlinear dynamics, biomathematics, and computational biology, often integrating synthetic biology with theoretical frameworks.

Alex WhiteView profile

Senior Lecturer

• Thermofluids
• Two-Phase Flow
• Thermodynamics
• +6 more

Dr. Alex White is a Senior Lecturer in Thermofluids at the Department of Engineering, Cambridge University, and a Fellow and Director of Studies at Peterhouse. He earned his undergraduate and PhD degrees from King's College, Cambridge, and conducted postdoctoral research in Cambridge, Lyon, and Toulouse before returning to Cambridge in 2000 as part of the Energy Group. His research focuses on two-phase flow (vapour-droplet flows), thermodynamics of power generation, Computational Fluid Dynamics (CFD), and heat pumps. His work includes theoretical and numerical studies on warm dense matter, electron transport, and energy storage systems like pumped thermal and compressed air storage. Recent publications emphasize warm dense matter physics, inertial confinement fusion, and thermal energy storage innovations. His theoretical analyses and simulations span high-energy-density plasmas, nonlocal electron stopping power, and hybrid energy systems. While no scientific awards are documented, his contributions to thermofluids and extreme condition physics are significant.

• Electrical Engineering
• Signal Processing
• Fault Detection
• +5 more

Tarik Namas is a Senior Lecturer in the Department of Electrical and Electronics Engineering at the International University of Sarajevo's Faculty of Engineering and Natural Science. With over 15 years of academic experience, he has held roles including Teaching and Research Assistant (2006-2009), Technical and Industrial Instructor at Jubail Industrial College (2009-2011), and IT Assistant at Prince Sultan Military College. His expertise spans Electrical Engineering , Signal Processing , and Power Systems , with a focus on fault detection, impedance analysis, and augmented reality applications in healthcare.

Christoph MüllerView profile

Professor

• Climate Change Ecology
• Nitrogen Cycle
• Soil Science
• +7 more

Christoph Müller is a Professor of Experimental Plant Ecology at Justus Liebig University Giessen (since 2009) and a Visiting Professor at University College Dublin's School of Biology and Environmental Science (since 2007). His work bridges soil science, plant ecology, and climate change biogeochemistry. PhD in Soil Science (Lincoln University, NZ, 1995) MSc in Soil Water Management (University of Reading, 1991) Diploma in Horticulture (FH, 1990) Research centers on climate change impacts on terrestrial ecosystems , focusing on elemental cycles and trace gas production in soils. He pioneered 15N/13C isotope tracing to quantify gross nitrogen transformations and developed Ntrace software for analyzing these processes. His landmark Giessen FACE experiment (20+ years) demonstrates how elevated CO2 alters rhizosphere microbiomes and nutrient dynamics. Recent publications (2021-2023) reveal mechanisms linking soil clay minerals to nitrogen cycling, quantify DNRA patterns across ecosystems, and explore biochar-nitrapyrin synergies for emission reduction. Grants from EPA Ireland and Department of Agriculture Ireland support his work on greenhouse gas mitigation and sustainable fertilization . Collaborations span institutions like UCD, with co-authors including Gerald Moser , Daniela Senkbeil , and Lea Meng . Current editorial roles involve European Journal of Soil Science and Frontiers in Terrestrial Microbiology . His methodology integrates stable isotope tracing , metabarcoding , and process-based modeling to unravel soil-plant-microbe interactions.

• Energy Engineering
• Fuel Cell Technology
• Thermal Systems Modeling
• +3 more

Marcin Wołowicz, PhD in Engineering , is a researcher at the Department of Rational Use of Energy within the Institute of Heat Engineering at Warsaw University of Technology. His academic career focuses on advanced energy system modeling and optimization, with particular emphasis on fuel cell technologies and thermal energy storage solutions. Key research areas: Fuel Cell Modeling & Design Expertise: Thermal System Optimization Specialization: Energy Storage & CO2 Reduction Wołowicz's publication record demonstrates sustained contribution to: Molten Carbonate Fuel Cell applications (11+ papers) Combined Heat and Power systems Thermal integration in power plants Seasonal energy storage solutions Waste heat utilization Supercritical power plant optimization His technical work involves both theoretical modeling (GateCycle, Hysys) and experimental validation across various energy scales from 100cm² laboratory cells to 800MW power stations.

• Computational Fluid Dynamics (CFD)
• Hydraulic Turbines
• Cavitation Modeling
• +4 more

Jean Decaix is a Researcher at the University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis - Haute Ecole d'Ingénierie ) within the Department of Energy and Environmental Techniques . His work focuses on hydropower systems , computational fluid dynamics (CFD) , and cavitation modeling for hydraulic turbines. Decaix contributes to projects like SCCER-SoE (Supply of Electricity center) and XFlex Hydro , aiming to enhance grid stability through advanced turbine operation. Decaix's research spans Francis and Pelton turbines , with a focus on flow topology , unsteady cavitating flows , and hydraulic short-circuit modes . He develops freely distributable CFD tools for building airflow and turbine efficiency, validated through experimental measurements and numerical simulations . Notable projects : SCCER-SoE (2017-2020): Innovation roadmaps for geothermal and hydropower Solution de transfert d'énergie par pompage-turbinage à petite échelle (2015-2017): Economic model development for small-scale hydropower Decaix's 15 most recent publications (2015-2024) cover topics like cavitation suppression , vortex rope dynamics , Pelton turbine efficiency , and CFD validation for building energy systems. His work emphasizes renewable energy integration and mechanical stress reduction in hydropower plants.

Sung-Woo LeeView profile

Associate Professor

• Medical Physics
• Radiation Oncology
• Radiotherapy
• +3 more

Sung-Woo Lee serves as an Associate Professor in the Department of Radiation Oncology at the University of Maryland School of Medicine, based at the Central Maryland Radiation Oncology Center in Columbia, MD. His educational background includes: Bachelor of Science and Master of Science in Nuclear Engineering from Hanyang University, Seoul, Korea Master of Science in Health Physics from Texas A&M University Ph.D. in Nuclear Engineering (specializing in Health Physics and Medical Physics) from Texas A&M University (2003) Dr. Lee's research focuses on Medical Physics and Radiation Oncology , with expertise in stereotactic radiosurgery systems (Gamma Knife/CyberKnife), image-guided radiotherapy, treatment planning optimization, and imaging dose assessment. His work bridges engineering principles with clinical radiation oncology applications to enhance precision in cancer treatment. Analysis of his 2014 publications reveals concentrated research on comparative effectiveness of stereotactic radiosurgery platforms for brain metastases, CyberKnife prescription parameter optimization, and quantification of imaging dose impacts in robotic radiosurgery. His 2008 foundational work established clinical validation protocols for dual-tube kV localization systems in radiotherapy treatment rooms. Dr. Lee maintains active clinical engagement at the Central Maryland Radiation Oncology Center, where he applies medical physics expertise to advance radiotherapy technology implementation and quality assurance protocols.

Marco RossiView profile

Associate Professor

• Mechanical Engineering
• Materials Science
• Plasticity
• +9 more

Marco Rossi is an Associate Professor at Marche Polytechnic University in the College of Engineering , affiliated with the Department of Industrial Engineering and Mathematical Sciences . His research focuses on Mechanical Engineering and Materials Science , particularly the plasticity and fracture mechanics of sheet metals and additive manufacturing materials , utilizing advanced techniques like digital image correlation and inverse problems in computational mechanics . Scientific Sector: IIND-03/A - Mechanical Design and Machine Construction Contact: m.rossi@staff.univpm.it , via Brecce Bianche, Ancona, Italy His work emphasizes 3D anisotropic plasticity models , material calibration for sheet metal forming , and thermomechanical characterization of metals. Recent publications highlight applications of virtual fields method (VFM) and finite element model updating (FEMU) in optimizing experimental setups for additive manufacturing and high-strain testing . Key Research Areas: Mechanical Design Plasticity Modeling Digital Image Correlation Inverse Identification 3D Printing Material Behavior Tensegrity Structural Systems

Gwenn SmithView profile

Professor

• Neuroimaging
• Geriatric Psychiatry
• Neurodegenerative Disorders
• +6 more

Gwenn Smith, PhD, is a Professor of Psychiatry and Behavioral Sciences at Johns Hopkins University School of Medicine. She serves as Director of the Division of Geriatric Psychiatry and Neuropsychiatry and Co-Director of the Center for Translational Molecular Imaging at Johns Hopkins Bayview Medical Center. Her primary research facility is located at the Department of Psychiatry, 5300 Alpha Commons Drive, Baltimore. Dr. Smith leads a research program focused on molecular neuroimaging of neurodegenerative and mood disorders. For over two decades, her work has centered on: Developing PET imaging methods to study neurobiological mechanisms of cognitive decline Investigating monoaminergic system dysfunction in late-life depression and dementia Mapping treatment response mechanisms for brain stimulation therapies Identifying early biomarkers for Alzheimer's, Parkinson's, and related disorders Her publication portfolio demonstrates consistent focus on multimodal neuroimaging approaches integrating PET, MRI, and proteomic analyses. Recent work emphasizes: Interactions between serotonin degeneration and amyloid deposition Optimization of deep brain stimulation for Alzheimer's disease Neurobiological signatures of psychosis across neurodegenerative disorders Advanced 7T MR spectroscopy applications Dr. Smith directs several neuroimaging initiatives including studies on fornix deep brain stimulation (ADvance trial), blood-brain barrier opening using focused ultrasound, and traumatic brain injury in athletes. She maintains active collaborations across neurology, neurosurgery, and radiology departments to advance translational applications of neuroimaging.

• Cyber-Physical Systems
• Real-Time Systems
• Distributed Systems
• +4 more

Geir Mathisen serves as a Professor within the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is an active member of the Group for Industrial Computer and Instrumentation Systems, focusing on real-time systems integration and cyber-physical applications across industrial and energy domains. His educational background includes a Civil Engineering degree and a Doctorate (PhD), both earned from NTNU's Department of Technical Cybernetics, establishing foundational expertise in control systems and technical cybernetics. Professor Mathisen's research spans cyber-physical systems, deterministic networking, and distributed real-time systems with significant applications in smart grids and industrial automation. His work pioneers magnetic field energy harvesting for railway systems, edge-based fault detection for photovoltaic panels, and multi-robot coordination in sewing automation. Current investigations focus on power system state estimation, optimal power flow in smart grids, and deterministic communication channels for latency-sensitive applications. Analysis of his 2020-2024 publications reveals a strategic convergence of real-time computing with energy systems, particularly in railway energy harvesting and photovoltaic monitoring. His research consistently bridges theoretical advances in networking protocols with practical industrial implementations, emphasizing determinism and composability in distributed cyber-physical environments. Scientific Awards: No specific awards or fellowships were documented in the provided materials. Professor Mathisen actively supervises doctoral and master's students, including Johannes Schrimpf (2013 PhD thesis on industrial robot control), and offers project assignments as noted for fall 2021. His research is conducted through Norwegian collaborative projects on flexible distribution grids and smart grid services, though specific grant mechanisms remain unspecified in the source material. He contributes significantly to the Group for Industrial Computer and Instrumentation Systems at NTNU, which develops advanced solutions for industrial control, measurement systems, and cyber-physical integration, particularly in energy and manufacturing contexts.

• Furniture Mechanics
• Engineering Design
• Structural Analysis in Wood Construction
• +7 more

Mesut UYSAL is an Associate Professor at the Department of Forest Industry Engineering, Faculty of Forestry, Bursa Technical University. His research focuses on furniture mechanics, structural analysis in wood construction, and advanced manufacturing technologies like CAD/CAM/CAE and additive manufacturing for furniture components. Fields of Interest: Furniture Engineering, Structural Design, Materials Science, Additive Manufacturing, Environmental Engineering Recent Research Trends: 3D-printed biocomposites, screw withdrawal strength optimization, finite element modeling of wood products, and noise pollution assessment in manufacturing. His work emphasizes sustainable design and durability testing for wooden furniture joints, including mortise and tenon and dowel systems. He has published extensively on topics like epoxy resin reinforcement, cross-laminated timber properties, and cyclic load reliability metrics.

James M. CordesView profile

Professor

• Radio Astronomy
• Pulsars
• Neutron Stars
• +7 more

James M. Cordes holds the George Feldstein Professorship in Astronomy at Cornell University, affiliated with the Department of Astronomy within the College of Arts and Sciences. He maintains dual associations with the Carl Sagan Institute and the Center for Radiophysics and Space Research (CCAPS), conducting observations across global facilities including Arecibo Observatory, the Very Large Array, Parkes Telescope, and space-based instruments like Hubble and Chandra. His research centers on pulsar astronomy as a tool for fundamental physics, with expertise in radio signal processing , interstellar medium studies , and the search for extraterrestrial intelligence . Cordes pioneers statistical inference methods for gravitational wave detection and leads development of next-generation instrumentation like Arecibo's multiple-feed receiver system, while serving as a key contributor to the international Square Kilometer Array project. Analysis of Cordes's 2008–2012 publications reveals a cohesive research program using pulsars to probe spacetime curvature near black holes, detect gravitational waves, and investigate galactic center environments. His work consistently integrates multiwavelength observations with innovative data analysis, establishing foundational methodologies for pulsar timing arrays and demonstrating how circumpulsar phenomena can reveal hidden astrophysical structures. Cordes collaborates through the Carl Sagan Institute team and major consortia including NANOGrav. His observational campaigns coordinate radio, optical, infrared, and gamma-ray facilities worldwide—from Arecibo upgrades to Hubble Space Telescope campaigns—enabling breakthrough studies of cosmic plasma environments and gravitational phenomena, as highlighted in Cornell's coverage of the 2020 gravitational wave 'hum' detection.