Find Academic Supervisors

Michael ScottView profile

Professor

• Structural Engineering
• Nonlinear Structural Analysis
• Finite Element Analysis
• +6 more

Michael Scott is a Professor in the Department of Civil and Construction Engineering at Oregon State University, part of the College of Engineering. He holds a Ph.D. in Structural Engineering from the University of California, Berkeley (2004), an M.S. from the same institution (1999), and a B.S. in Civil Engineering from North Carolina State University (1998). His research focuses on nonlinear structural analysis, dynamics, numerical methods, and software design, particularly in the context of bridges and fluid-structure interactions. He has developed widely used tools like OpenSees and contributed to multi-hazard resilience frameworks for infrastructure. Key research areas include tsunami impacts on coastal bridges, GPU-accelerated analysis, and machine learning applications for structural simulation. His work emphasizes sensitivity analysis and software reliability, with notable contributions to OpenSees and PFEM methodologies. He has been recognized with the 2019 Celebrate Excellence Awards for Online Teaching. His research also addresses bridge loading from truck platooning, seismic sensitivity, and ponding effects on structural steel roofs. Educations: Ph.D., Structural Engineering, UC Berkeley (2004) M.S., Structural Engineering, UC Berkeley (1999) B.S., Civil Engineering, NC State University (1998) Awards: 2019 Celebrate Excellence Awards, Online Teaching Award Key Contributions: Development of OpenSees software framework Pioneering work in PFEM for fluid-structure interaction Multi-hazard engineering for tsunami resilience

Shahram ShiraniView profile

Professor

• Multimedia Communications
• Image/Video Processing
• Medical Image Processing
• +5 more

Dr. Shahram Shirani is a Professor and holds the L.R. Wilson/Bell Canada Chair in Data Communications in the Department of Electrical & Computer Engineering at McMaster University. He also serves as Acting Chair of the department. His research focuses on multimedia communications, image/video processing, medical imaging, and hardware architectures. He teaches courses like Image Processing (COMPENG 4TN4) and 3D Image Processing and Computer Vision (ECE 736). Shirani earned his B.Sc. from Isfahan University of Technology (1989), M.Sc. from Amirkabir University of Technology (1994), and Ph.D. from the University of British Columbia (2000). His achievements include the Faculty of Engineering Leadership Fellowship (2014–15) and leadership roles in editorial boards for IEEE Transactions on Multimedia and Circuits and Systems for Video Technology. Research interests include video quality assessment, biomedical signal processing, and edge computing for traffic monitoring. His lab develops algorithms for multimedia representation, compression, and hardware implementation. Recent work includes AI-driven medical sound datasets, real-time noise removal in MRI, and efficient CNN pruning techniques. He advises over 15 graduate students and collaborates on projects like the HLS-CMDS dataset and cardiac segmentation reviews. His lab’s contributions span biomedical engineering, autonomous systems, and smart sensor technologies.

• Plasma Physics
• Fluid Dynamics
• Turbulence
• +4 more

Dr Mahdi Davoodianidalik is a researcher in the Department of Nuclear Physics & Accelerator Applications at the Australian National University (ANU). He is affiliated with the Space plasma power and propulsion group and the Physics of fluids group, focusing on interdisciplinary research at the intersection of plasma physics, fluid dynamics, and space propulsion technologies. His research interests include Turbulence and wave-driven flows Plasma thrusters and electrothermal propulsion Fluctuation-induced forces and interactions Fluid-structure dynamics Thermal engineering of micro-thrusters Nonlinear phenomena in fluids Recent publications highlight his work on analogs of the Casimir effect in turbulent flows, passive propulsion mechanisms, and advanced propulsion systems using solid hydrocarbon propellants. He has contributed to understanding turbulence in both fundamental and applied contexts, with a focus on energy transfer and chaotic flow phenomena. His collaborations span ANU colleagues including Nicolas Francois and Michael Shats, with a strong emphasis on experimental and computational fluid dynamics.

Ediz CetinView profile

Associate Professor

• Radio Frequency Interference Detection
• Fault-Tolerant Reconfigurable Circuits
• Machine Learning Applications
• +4 more

Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.

Graeme BraggView profile

Teaching Professor

• Parallel Computing
• Event-driven Systems
• Bioinformatics
• +5 more

Dr Graeme Bragg is a Senior Teaching Fellow at the University of Southampton within the Department of Electronics and Computer Science . His work spans teaching, research, and technical development with a focus on event-driven computing, bioinformatics, and computational modeling. He actively supervises PhD students and collaborates on interdisciplinary projects. Research Interests: Parallel computing, event-driven systems, genotype imputation, Petri net simulations, subglacial hydrology modeling Teaching: Specializes in hardware description languages and computational methods for engineering students Technical Expertise: RISC-V architecture, FPGA acceleration, bespoke compute fabric development His recent publications demonstrate expertise in applying event-driven computing to diverse problems including: 2025: Automated marking systems for SystemVerilog labs 2025: Seasonal dynamics in subglacial hydrology 2023: Genotype imputation using custom hardware 2022: Optimization algorithms and graph analysis Current research explores: Custom RISC-V FPGA clusters for bioinformatics Event-triggered systems for scientific simulations Parallel computing solutions for molecular modeling Contact: gmb@ecs.soton.ac.uk | +44 23 8059 2784

Anke-Susanne MüllerView profile

Professor

• Particle Accelerator Physics
• Coherent Terahertz Radiation
• Ultrashort Electron Pulses
• +6 more

Prof. Anke-Susanne Müller is a physicist at the Karlsruhe Institute of Technology (KIT), where she serves as Director of the Institute for Accelerator Physics and Technology (IBPT) and Spokesperson for the Accelerator Technology Platform (ATP). Her work focuses on advancing ultra-compact, energy-efficient particle accelerators with applications in fundamental science, medicine, and industry. Müller leads a multidisciplinary collaboration of 17 KIT professors and over 200 researchers from 14 institutes, integrating expertise in physics, artificial intelligence, cryogenic engineering, and robotics. Her research has significant implications for medical diagnostics, tumor therapy, material refinement, and astrophysics. She co-founded the Committee for Accelerator Physics in Germany and drives partnerships with institutions like CERN, Heidelberg University Hospital, and the German Cancer Research Center. Müller was awarded the 2022 Baden-Württemberg State Research Prize for her contributions to accelerator technology. The ATP platform under her leadership develops next-generation accelerators such as the FLUTE research accelerator and KARA test facility, while initiatives like KITTEN explore grid stability and energy efficiency in large research infrastructures.

• Coatings Science
• Nanotechnology
• Crosslinked Coating Systems
• +7 more

Dr. Mark D. Soucek is a Professor and Interim Director at the University of Akron 's School of Polymer Science and Polymer Engineering . With over 140 publications, his work focuses on developing environmentally benign coatings, including UV-curable systems, nanotechnology-enabled smart coatings, and inorganic/organic hybrid materials. He previously served as President of the Cleveland Coating Society (2009) and has held academic positions at NASA-Langley (1990-1993), North Dakota State University (1993-2001), and currently at the University of Akron since 2001. Education : Ph.D. in Inorganic Chemistry (University of Texas, Austin, 1990) M.S. in Organic Chemistry (Illinois State University, 1986) B.S. in Chemistry (Eastern Illinois University, 1983) His research emphasizes crosslinked coating systems such as autoxidatively crosslinked , high solids , crosslinkable latexes , and UV-curable thermosets . Using Photo-DSC , Real-time IR , and DMTA , his group analyzes in situ crosslinking reactions to correlate molecular structure with coating properties like fracture toughness , abrasion resistance , and corrosion protection . Recent projects include creating a UV-Curable Powder Coatings Research Center to bridge industrial and academic collaborations. Dr. Soucek's publications span topics like smart ceramer coatings , seed oil-based reactive diluents , and hydrolytic stability of polyesters . His work has received multiple citations in areas such as environmental degradation and tire wear particle analysis . He has secured grants from the National Institute of Food and Agriculture and the Industry/University Cooperative Research Center in Coatings .

Matthew R. EdwardsView profile

Assistant Professor

• Plasma Physics
• Laser Technology
• Optical Diagnostics
• +4 more

Matthew R. Edwards is an Assistant Professor of Mechanical Engineering at Stanford University, affiliated with the School of Engineering. His research focuses on high-power lasers and plasma physics, developing optical diagnostics for fluids and plasmas, and exploring light-matter interactions. He holds a PhD and prior degrees from Princeton University in Mechanical and Aerospace Engineering, followed by a Lawrence Fellowship at Lawrence Livermore National Laboratory. Education : PhD in Mechanical and Aerospace Engineering, Princeton University (2019) MA in Mechanical and Aerospace Engineering, Princeton University (2015) BSE in Mechanical and Aerospace Engineering, Princeton University (2012) Research Interests : Edwards' work bridges mechanical engineering and plasma physics, emphasizing ultrafast laser-plasma interactions, plasma-based optical components, and applications in energy science. His lab, the SAPPHIRE Laser Laboratory, explores femtosecond laser technologies for creating novel optical elements (e.g., plasma gratings, holographic lenses) and advancing laser-driven particle acceleration, fusion research, and diagnostic tools. Key areas include: Design of plasma-based optical components for high-power laser control Simulation of laser-matter interactions at relativistic intensities Development of compact light and particle sources Research Trends : His recent articles (2024–2025) highlight advancements in plasma gratings, relativistic birefringence, and laser wakefield acceleration. Notable contributions include ionization-based compression of ultrafast laser pulses and polarization control in underdense plasmas. Awards/Grants : No awards explicitly listed, but his Lawrence Fellowship indicates prior recognition. His work aligns with grants in plasma physics and laser technology. Labs/Teams : He leads the SAPPHIRE Laser Laboratory , collaborating with the PULSE Institute and National Ignition Facility (NIF) on plasma optics and high-energy laser applications.

• Machine Learning
• Control Systems
• Robotics
• +3 more

Sebastian Trimpe is a Full Professor and Head of the Institute for Data Science in Mechanical Engineering at RWTH Aachen University, concurrently serving as Co-Executive Director of the RWTH Center for Artificial Intelligence since 2023. Previously, he led a Max Planck Research Group at the Max Planck Institute for Intelligent Systems from 2018 to 2022. His educational background includes: Ph.D. in Dynamic Systems and Control from ETH Zurich (2013) Dipl.-Ing. (M.Sc.) in Electrical Engineering from TU Hamburg (2007) MBA in Technology Management from TU Hamburg (2007) B.Sc. in General Engineering from TU Hamburg (2005) Professor Trimpe's research integrates machine learning with control theory to address safety and efficiency challenges in autonomous systems. His work spans theoretical frameworks for robust decision-making under uncertainty and practical implementations in robotics, with particular emphasis on event-triggered control, distributed systems, and data-efficient learning methodologies. Key contributions include novel approaches to safe reinforcement learning and model predictive control with guaranteed stability. Analysis of his recent publications reveals a pronounced focus on bridging machine learning with control engineering, especially in safety-critical robotics applications. Common themes include distribution-aware learning for medical diagnostics, diffusion-based control approximation, and hardware-in-the-loop validation of theoretical frameworks, demonstrating strong alignment between algorithmic innovation and real-world deployment. His scientific achievements have been recognized with prestigious honors: IFAC World Congress Interactive Paper Prize (2011) Klaus Tschira Award for public understanding of science (2014) Best Paper Award at International Conference on Cyber-Physical Systems (2019) Future Prize by Ewald Marquardt Stiftung (2020) As institutional leader, he directs the Institute for Data Science in Mechanical Engineering and co-leads the RWTH AI Center, overseeing strategic research initiatives and industry collaborations. His academic service includes editorial roles for IEEE Control Systems Society conferences and participation in the Cluster of Excellence 'Internet of Production'. The Institute for Data Science in Mechanical Engineering operates as a multidisciplinary hub where fundamental research in learning-based control meets industrial applications. Current projects focus on drone swarm coordination, deformable object manipulation, and medical diagnostics systems, leveraging both simulation environments and physical testbeds like the Mini Wheelbot platform.

• Plasma Physics
• Accelerator Technology
• X-ray Science
• +3 more

Prof. Matthias Fuchs is a Professor and Head of Department for Accelerator Research and Development I at the Karlsruhe Institute of Technology (KIT). His research focuses on advanced accelerator technologies, laser-plasma acceleration, and ultrafast X-ray science. He is affiliated with the IBPT group (Institut für Beschleunigerphysik und Teilchenphysik) and coordinates activities at the Department of Physics. His work bridges fundamental plasma physics with applied accelerator engineering, aiming to develop next-generation compact light sources and ultra-short wavelength technologies. Research interests include laser-plasma electron acceleration, quasi-isochronous storage ring dynamics, and nonlinear X-ray optics. His team explores parametric excitation mechanisms, high-order beam dynamics, and novel X-ray wave mixing phenomena in materials like silicon. Collaborations involve developing predictive laser stabilization techniques and high-bandwidth imaging systems for precision experiments. No scientific awards are explicitly listed, but his contributions to the Snowmass 2021 report on advanced accelerators highlight his influence in the field. He leads the Accelerator Research and Development I group, overseeing projects like the FLUTE compact storage ring commissioning and compact transverse deflecting system experiments. His lab work focuses on creating tunable X-ray sources and studying betatron radiation generation through transverse oscillating bubbles in plasma.

• Space Systems Engineering
• Computer Architecture
• Embedded Systems
• +5 more

Pablo Parra Espada is an Associate Professor at the Department of Automática, University of Alcalá (Spain), affiliated with the Space Research Group (SRG-UAH). He holds a PhD from the University of Alcalá (2012) titled Integración de tecnologías de desarrollo y análisis basadas en componentes bajo un enfoque multi-plataforma , supervised by Dr. Sebastián Sánchez Prieto and Dr. Óscar Rodríguez Polo. His research focuses on space systems engineering , particularly in RISC-V processor design , embedded systems , and model-driven engineering . Key areas include hardware-software co-design for satellite systems, real-time computing, and fault-tolerant architectures. He has contributed to the Solar Orbiter mission through work on the Energetic Particle Detector (EPD) and its on-board software validation. His recent work emphasizes virtualization techniques for LEON processors, FPGA-based digital beamforming , and spaceborne phased array systems . He also explores model-driven approaches for automated configuration of ground support equipment. His interdisciplinary contributions bridge computer architecture with aerospace applications. Prof. Parra Espada has published extensively on topics such as hardware performance monitoring, memory management units for satellites, and system-level verification of space software. His work combines rigorous engineering methodologies with cutting-edge technologies to address challenges in space instrumentation and embedded systems.

Ian AbelView profile

Researcher

• Fusion Energy
• Plasma Physics
• Magnetic Confinement Systems
• +3 more

Dr. Ian Abel is an Associate Research Scientist at the Institute for Research in Electronics & Applied Physics (IREAP) at the University of Maryland, where he has been since 2018. His expertise spans fusion energy, plasma physics, and computational modeling. Abel holds a B.A. in Mathematics (2006) and M.S. in Applied Mathematics (2007) from the University of Cambridge, followed by a Ph.D. in Theoretical Physics from the University of Oxford (2012). His research focuses on magnetically confined fusion systems, particularly edge dynamics in tokamaks and innovative centrifugal mirror concepts. He has contributed to the development of gyrokinetic simulation tools like the GX code and the MaNTA transport model. Abel’s work also explores machine learning applications in plasma turbulence analysis and centrifugal mirror fusion reactor design for space propulsion. His research leverages advanced numerical methods, including GPU-native algorithms and adjoint-based optimization techniques for plasma equilibria. Key projects include the Centrifugal Mirror Fusion Experiment (CMFX), where he investigates plasma confinement and transport phenomena. His publications emphasize interdisciplinary approaches, integrating computational fluid dynamics, statistical physics, and high-performance computing to address challenges in fusion energy and plasma dynamics. While no specific awards are listed, his contributions to gyrokinetic turbulence modeling and centrifugal confinement systems are central to current fusion research.

Miloš RackovićView profile

Professor

• Artificial Intelligence
• Machine Learning
• Databases
• +4 more

Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.

• Accelerator Physics
• Beam Dynamics
• RF Systems
• +6 more

John Fox serves as an Adjunct Professor in the Department of Applied Physics within Stanford University's School of Humanities and Sciences, specializing in accelerator physics and energy systems optimization. His research bridges theoretical control methods with practical engineering applications in particle accelerators and sustainable transportation. Ph.D. in Applied Physics with minor in Electrical Engineering from Stanford University (1986) A.B. in Physics from Harvard University (1977) Professor Fox's research focuses on two primary domains: (1) accelerator physics including RF systems, beam dynamics, and instability control for particle accelerators, where he leads LARP projects for LHC LLRF techniques and electron-cloud instability mitigation; and (2) optimal control methods for improving energy efficiency in plug-in hybrid vehicles. His work combines advanced digital signal processing with practical instrumentation challenges in both synchrotron facilities and automotive systems. The research demonstrates consistent innovation in control theory applications across disparate physical systems. His publication record shows strong interdisciplinary connections between accelerator physics and energy systems engineering, with recent work increasingly focusing on multilevel inverter technologies and battery health optimization. The publications reveal a consistent thread of applying advanced control theory to complex physical systems across both high-energy physics and sustainable energy domains. Scientific Recognition: Dean's Award for Distinguished Teaching (2001) Fellow of the American Physical Society (2008) IEEE Senior Member (2018) Professor Fox has successfully mentored 5 Ph.D. students to completion and supervised 13 M.S. students, with two students receiving American Physical Society Dissertation Prizes and another winning the Toohig Fellowship. His research has been supported by significant collaborations including the Ford-Stanford Alliance and Precourt Center for Energy, with projects focusing on battery health modeling and optimal control strategies for hybrid vehicles. Current research includes leadership roles in LHC accelerator projects and development of energy optimization algorithms for transportation systems. As Group Leader for LARP projects, he directs teams working on feedback control systems for the LHC and SPS accelerators, with expertise spanning electron/positron and hadron synchrotrons, storage rings, and LINAC systems. His laboratory work emphasizes practical implementation of theoretical control concepts in both accelerator and automotive contexts.

Lynn KistlerView profile

Professor

• Plasma Physics
• Space Weather
• Magnetospheric Dynamics
• +3 more

Lynn Kistler is a Professor in the Department of Physics & Astronomy at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. Her research focuses on plasma physics, space weather, and magnetospheric dynamics, particularly investigating the interactions between the solar wind and Earth's magnetosphere-ionosphere system. She holds a Ph.D. in Physics from the University of Maryland, along with a B.S. from Harvey Mudd College. Dr. Kistler's work emphasizes understanding plasma processes such as ion outflow from the ionosphere, magnetic reconnection, and storm-time magnetospheric evolution. She has led studies using data from missions like the Van Allen Probes, Solar Orbiter, and Cluster, contributing to advancements in instrumentation (e.g., the SWA suite) and computational modeling. Her research bridges observational analysis, theoretical frameworks, and machine learning to address challenges in space weather prediction and plasma dynamics. Key areas of her research include the role of ionospheric ions (O⁺, H⁺) in plasma sheet dynamics, the effects of geomagnetic storms on ring current formation, and the behavior of heavy ions in near-Earth space. She has authored or co-authored over 260 publications, spanning journals like Nature Communications , Geophysical Research Letters , and Journal of Geophysical Research . Dr. Kistler has secured grants and collaborations through initiatives like the NASA Interstellar Mapping and Acceleration Probe (IMAP) and has served as a co-investigator on multiple missions. Her work emphasizes interdisciplinary approaches, combining spacecraft observations with ground-based data and numerical simulations to unravel the complexities of Earth's space environment.