Find Academic Supervisors

• Numerical Analysis
• Partial Differential Equations
• Finite Element Method
• +3 more

Dirk Praetorius is a Professor of Numerics of Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Wien) , affiliated with the Institute for Analysis and Scientific Computing (ASC) within the Faculty of Mathematics and Geoinformation . He leads the research group on Numerics of PDEs and has held various leadership roles, including Institute Director (since 2020) and head of the Numerics research area. His work focuses on numerical methods for PDEs, including Finite Element Methods (FEM), Boundary Element Methods (BEM), adaptive algorithms, and computational micromagnetics. Education and Career: Praetorius earned his Diplom in Mathematics (2000) and PhD in Applied Mathematics (2003) from TU Wien, followed by a Habilitation in Numerical Analysis (2005). He has been a faculty member at TU Wien since 2005, progressing from Assistant Professor to full Professor in 2017. He has also held visiting positions at institutions such as the University of Jyväskylä and RICAM (Linz). Research Interests: His research spans numerical analysis, adaptive FEM/BEM, a-posteriori error estimation, matrix compression, and computational micromagnetics. He has contributed to modeling spin dynamics, magnetic skyrmions, and multiscale systems. His work emphasizes efficient algorithms for large-scale problems and optimal computational complexity. Awards and Editorial Roles: Praetorius received the TU Best Teacher Award (2021) and TU Best Lecture Award (2019). He serves as Senior Editor for Computational Methods in Applied Mathematics (CMAM) and on the editorial board of Applied Numerical Mathematics (APNUM) . He co-founded the outreach initiative TUForMath to promote mathematics education. Grants and Projects: He leads or co-leads several research projects funded by the Austrian Science Fund (FWF), including the collaborative SFB "Taming Complexity in Partial Differential Systems" (2017–2025) and international collaborations with Germany. His work addresses topics like functional error estimates, nonlinear PDEs, and computational design of magnetic devices. Labs and Teams: He contributes to the ASC Institute and coordinates interdisciplinary projects involving computational physics and engineering. His team develops software tools like MooAFEM and Commics for micromagnetic simulations.

Joseph FriedmanView profile

Associate Professor

• Artificial Intelligence Hardware
• Beyond-CMOS Computing
• Neuromorphic Computing
• +6 more

Joseph S. Friedman is an Associate Professor of Electrical & Computer Engineering at the University of Texas at Dallas, leading the NeuroSpinCompute Laboratory within the Erik Jonsson School of Engineering and Computer Science. His research focuses on unconventional computing paradigms leveraging nanotechnology, including neuromorphic systems, spintronics, and memristive devices. He specializes in nanomagnet-based logic architectures, neuromorphic computing with domain walls and skyrmions, and hardware security for emerging technologies. His research explores energy-efficient computing through novel paradigms such as reversible skyrmion logic, neuromorphic networks using magnetic tunnel junctions, and stochastic Bayesian inference circuits. He has pioneered spintronic neurons demonstrating 94% accuracy in handwritten digit recognition and developed secure logic locking mechanisms using nanomagnet logic. His work integrates experimental fabrication with SPICE modeling, emphasizing scalable beyond-CMOS systems. Recent advancements include toggle SOT-MRAM architectures, quantum circuit design for neutral atom systems, and neuromorphic networks leveraging superconducting flux quanta. He advises over 20 graduate and undergraduate students, fostering innovation in AI hardware and unconventional computing. Notable projects include the NeuroSpinCompute Lab's domain wall neuromorphic networks, secure logic locking schemes, and collaborations with institutions like Sandia National Labs on neuromorphic reservoir computing. Current research trends emphasize low-energy spintronic architectures, hybrid quantum-classical systems, and neuromorphic applications in edge computing. His research is supported by NSF grants CCF-1910800 and CCF-2146439, focusing on neuromorphic and spintronic systems. He regularly contributes to conferences like IEEE Rebooting Computing and SPIE Spintronics, showcasing breakthroughs in nanomagnetic logic and neuromorphic inference.

• Magnetism
• Spin Transport
• Magnetic Heterostructures
• +6 more

Axel Hoffmann is a Professor of Materials Science and Engineering at the University of Illinois at Urbana-Champaign , where he has been since 2019. His research focuses on magnetism , spin transport , magnetic heterostructures , and quantum materials . He has published extensively on topics including skyrmions , spin-orbit torques , and magnonics . Education: PhD in Physics (University of California-San Diego, 1999); Diplom in Physics (RWTH Aachen, 1994) Professional History: Postdoctoral Fellow (Los Alamos National Laboratory, 1999-2001); Staff Scientist to Senior Group Leader (Argonne National Laboratory, 2001-2019) His scientific awards include being a Highly Cited Researcher (2019-2023), Fellow of the American Physical Society, IEEE, and American Vacuum Society, and the David Adler Lectureship Award (2022). Notable research trends from his publications include advancements in antiferromagnetic spintronics , skyrmion dynamics , and hybrid magnonic systems . Editorial Roles: Associate Editor, Journal of Applied Physics (2009-present).

• Geology
• Geophysics
• Geochemistry
• +5 more

Peter C. Lippert is an Associate Professor in the Department of Geology & Geophysics at the University of Utah , with research spanning paleomagnetism, tectonics, and environmental magnetism. His work connects geological time scales to climate dynamics, orogenic processes, and urban pollution monitoring. BS (2003) and PhD (2010) in Earth sciences Postdoctoral training at University of Arizona and UC Santa Cruz Research focuses include: Antarctic ice age cyclicity and Earth's orbital influences Hydrothermal alteration effects on paleomagnetic records in Tibet Magmatism during Mongol-Okhotsk Ocean closure Magnetofossils as climate proxies for rapid warming events Evergreen needle magnetization for urban pollution mapping Recent publications highlight collaborations across 50+ international institutions , with methodological innovations in site-level paleomagnetic analysis and FORC-PCA magnetofossil discrimination. His 15 most recent articles (2020–2024) address tectonic reconstructions, geomagnetic field evolution, and climate-ocean interactions. He serves on the Magnetics Information Consortium (MagIC) Steering Committee and has received the Taft-Nicholson Summer Faculty Fellow award. Teaching emphasizes Earth science as a philosophy, with courses on structural geology, dynamic Earth systems, and field research.

Rasmus BjørkView profile

Professor

• Energy Conversion
• Materials Science
• Magnetocaloric and Elastocaloric Cooling
• +4 more

Rasmus Bjørk is a Professor at the Technical University of Denmark (DTU) in the Department of Energy Conversion and Storage. His research focuses on advanced materials for energy systems, particularly in magnetocaloric and elastocaloric cooling, magnetic materials, and additive manufacturing for functional devices. His work contributes to the UN Sustainable Development Goals, especially in affordable and clean energy. PhD Supervision: Active projects include energy storage using topological spin textures, magnetothermal waste heat harvesting, and bio-magnetometers. Key Research Areas: Magnetic refrigeration, energy harvesting, and freeze-casting of functional materials. Recent advancements include 3D-printed elastocaloric coolers and studies on magnetoresistive devices. His team develops novel techniques for optimizing magnetic systems and energy conversion processes. He has published over 160 articles and led projects on regenerator design, magnetic bearings, and sensor technologies. Collaborations span multiple countries and disciplines. Notable contributions include pioneering work on freeze-casting for biomaterials and the MagTense micromagnetic framework. His research bridges theoretical modeling and practical applications in sustainable energy solutions.

Philip HemmerView profile

Professor

• Quantum Optics
• Quantum Computing
• Nanodiamonds
• +5 more

Philip Hemmer is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. He holds a Ph.D. in Physics from MIT (1984) and a B.S. from the University of Dayton (1976). His research focuses on quantum optics, nanodiamond-based quantum sensing, and advanced optical materials for applications in quantum computing, biosensing, and thermal imaging. Key areas include solid-state quantum systems, upconversion nanoparticles, and fiber-optic sensor technologies. Dr. Hemmer's work spans interdisciplinary fields such as quantum communication, luminescent thermometry, and nanotechnology. His lab develops novel materials like GeV color centers in diamonds for high-precision sensing and explores applications in medical diagnostics, environmental monitoring, and fundamental physics. Awards include the National Science Foundation Fellowship and multiple AFOSR Star Team Awards. Education: Ph.D., Physics, Massachusetts Institute of Technology, 1984 B.S., University of Dayton, 1976 Awards: National Science Foundation Fellowship Summa Cum Laude, University of Dayton Air Force Research Laboratory Chief Scientist's Award AFOSR Star Team Award (three-time recipient) His recent publications emphasize quantum-enhanced biosensing, nanodiamond engineering, and fiber-optic quantum sensors. Research trends highlight innovations in thermal imaging using diamond defects, multiplexed sensing platforms, and scalable quantum technologies.

• Numerical Analysis
• Stochastic Partial Differential Equations
• Computational Physics
• +12 more

Prof. Dr. Lubomir Banas is a full-time Professor at the Faculty of Mathematics , University of Bielefeld. His research focuses on numerical analysis of stochastic partial differential equations (SPDEs) , particularly in micromagnetism, phase field models, and stochastic games. He leads Subproject B03 in the SFB 1283 project 'Taming Uncertainty and Profiting from Randomness and Low Regularity in Analysis, Stochastics and Their Applications.' Research Interests: Numerical methods for SPDEs and singular-degenerate PDEs Adaptive finite element techniques and a posteriori estimates Phase field models (Cahn-Hilliard, obstacle potentials) Stochastic games with asymmetric information Computational micromagnetism and magnetostriction Self-organized criticality and nonlinear stochastic flows Recent work includes: 2025: Numerical approximation of biharmonic wave maps and stochastic games 2024: Sharp interface limits for stochastic Cahn-Hilliard equations 2023: Singular-degenerate SPDEs and a posteriori estimates 2022: Stochastic total variation flow and Hamilton-Jacobi-Bellman equations 2021: Nematic electrolytes and homogenization of two-phase flows He serves on examination boards for Bachelor's and Master's programs in Mathematics and Mathematical Physics, and supervises graduate students within the Bielefeld Graduate School in Theoretical Sciences . His publications (over 30) address convergence analysis, error estimation, and computational modeling in applied mathematics.

Bastian PfauView profile

Researcher

• X-ray Holography
• Magnetic Imaging
• Ultrafast Dynamics
• +5 more

Dr. Bastian Pfau serves as Department Head of the “Imaging and Coherent X-rays” (B2) division and Project Coordinator for “Transient Structures and Imaging with X-rays” at the Max Born Institute in Berlin, where he has conducted postdoctoral research since 2016. His work pioneers nanoscale magnetic imaging using coherent X-ray techniques, with significant contributions to ultrafast magnetization dynamics and topological spin structures. His academic foundation includes a Dr. rer. nat. (PhD) in Physics from Technical University Berlin (2013) with thesis “Imaging magnetic nanostructures using soft x-ray Fourier transform holography,” and a Diplom (MSc) in Physics from Technical University Dresden (2006) focused on “Combining photon correlation spectroscopy and fluctuation analysis for investigating diffusion dynamics.” Additional research experience spans Lund University (2014-2015), Technical University Berlin (2010-2013), and Helmholtz Center Berlin (2006-2010). Dr. Pfau’s research centers on developing and applying X-ray holography and coherent diffraction imaging to visualize magnetic nanostructures at nanometer-femtosecond scales. His group specializes in ultrafast magnetization dynamics , skyrmion imaging , and element-specific magnetic probing using soft X-rays. Key innovations include achieving 5 nm resolution magnetic imaging and demonstrating all-optical helicity-independent switching via plasmonic nanostructures, with applications in next-generation spintronic devices and magnetic storage technologies. Analysis of his 15 most recent publications reveals dominant themes in nanoscale magnetic imaging (particularly skyrmions and topological textures), ultrafast opto-magnetic effects using extreme ultraviolet radiation, and advanced X-ray methodologies for capturing transient magnetic states. His work consistently bridges fundamental physics with practical instrumentation development, as evidenced by contributions to laser-driven plasma sources and tabletop X-ray setups. As Department Head of B2, Dr. Pfau leads a multidisciplinary team operating cutting-edge X-ray microscopy facilities at MBI. The group maintains strong collaborations with international synchrotron facilities (including BESSY II) and free-electron laser centers, focusing on developing MHz-repetition-rate pump-probe capabilities and high-resolution magnetic imaging techniques. Current projects emphasize real-time visualization of light-induced phase transitions and magnetic switching phenomena in functional materials.

Otto FelixView profile

Professor

• Micromagnetics
• Coarsening
• Stochastic Homogenization
• +3 more

Felix Otto is a Professor and Director at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) since 2010. Previously, he held Full Professorships at the University of Bonn (1999–2010) and the University of California, Santa Barbara (1998–1999). His research focuses on applied mathematics, including micromagnetics, coarsening dynamics, stochastic homogenization, and hydrodynamic limits. He has received prestigious awards such as the Gottfried Wilhelm Leibniz Prize (2006) and the Max Planck Research Prize (2001). Education: 1993 PhD in Mathematics (advisor S. Luckhaus), University of Bonn 1990 Diploma in Mathematics (advisor G. Dziuk), University of Bonn Research interests emphasize the interplay between analysis, probability, and physics, particularly in understanding complex systems through rigorous mathematical methods. His work on gradient flows and optimal transport has led to foundational contributions in applied mathematics. Awards: Collatz Prize (2007) Membership in Berlin-Brandenburg Academy (2014) Leopoldina Academy (2008) Professional activities include roles as Editor of Archive for Rational Mechanics and Analysis and advisory roles at institutions like the Weierstrass Institute and Fondation Mathématique Jacques Hadamard.

Sofia KantorovichView profile

Professor

• Magnetism
• Soft Matter Physics
• Computational Physics
• +4 more

Sofia Kantorovich is a Professor at the University of Vienna, serving as Deputy Head of both the Research Platform MMM (Mathematics-Magnetism-Materials) and Computational and Soft Matter Physics group. Her departmental affiliation is with Computational and Soft Matter Physics at Kolingasse 14-16, 1090 Wien (Room 03.22). She actively teaches undergraduate and graduate courses including Linear Algebra for Computational Science, Analysis for Computational Science, and seminars on soft matter physics through the 2025 academic year. Her research centers on computational modeling of magnetic soft matter systems, with emphasis on ferrofluids, magnetic nanoparticles, nanogels, and supracolloidal polymers. She investigates how external magnetic fields influence structural properties, self-assembly dynamics, rheological behavior, and transport phenomena in complex magnetic fluids. Key applications include drug delivery systems, responsive materials design, and magnetic composites engineering, employing molecular dynamics simulations and theoretical analysis to uncover fundamental mechanisms. Analysis of her 2023-2025 publications reveals consistent focus on field-responsive dynamics in magnetic colloidal systems. Her work frequently examines coarsening phenomena in ferrogranulate networks, morphology-dependent responses in magnetic nanogels, and filamentous structure behavior under applied fields. These studies demonstrate how particle shape, concentration gradients, and interaction potentials govern macroscopic properties in magnetic soft matter. No scientific awards are documented in the available sources. Information regarding graduate student advising and grant funding details is not provided in the current materials. Professor Kantorovich leads research within the Computational and Soft Matter Physics group and co-directs the interdisciplinary MMM platform, which integrates mathematical modeling, magnetic theory, and materials science to advance understanding of complex magnetic systems and their technological applications.

• Condensed Matter Physics
• Theoretical Physics
• Spintronics
• +4 more

Vivek Amin is an Assistant Professor in the Department of Physics at Indiana University. His research focuses on theoretical investigations of condensed matter systems, particularly spintronics and spin-orbit torque mechanisms. He explores how spin and magnetic moments of electrons can be harnessed for information processing and storage, including applications in magnetic memories and neural networks. Education: B.S. in Electrical Engineering, University of Texas at Austin, 2006 Ph.D. in Physics, Texas A&M University, 2014 Research Interests: Spintronics and low-power spintronic devices Spin-orbit torque in materials like topological insulators and ferromagnets Design of spin-based neural networks Quantum materials and their magnetic properties Recent work includes studying interface-generated spin currents and their applications in energy-efficient computing. Awards: None explicitly listed in the provided text. Advising & Grants: No advisees or grants detailed in the text. His research is supported through institutional and collaborative efforts. Labs/Teams: Not specified in the provided materials.

Vitaliy LomakinView profile

Professor

• Electromagnetic Theory
• Computational Electromagnetics
• Nanophotonics
• +7 more

Vitaliy Lomakin is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), affiliated with the Jacobs School of Engineering. He joined UCSD in September 2005 and is associated with the Center for Memory and Recording Research (CMRR). His research spans electromagnetic theory, computational methods, nanophotonics, and metamaterials. His research interests include: Electromagnetic theory and computational techniques in frequency and time domains Wave phenomena on metal-dielectric surfaces and subwavelength structures Antenna analysis and design, including high-efficiency cell-phone antennas Nanophotonics and plasmonics, particularly nanoscale lasers Micromagnetic simulation and magnetic recording technologies Metamaterials, including left-handed and polarization-converting materials His recent publications reveal a strong focus on high-performance computing for electromagnetic and micromagnetic simulations, GPU-accelerated solvers, nanoscale coherent light sources, and advanced magnetic recording systems. Key themes include FastMag development, plasmonic excitation, metamaterial design, and thresholdless nanolasers. Notable scientific contributions are evident through publications in Nature , IEEE Transactions , ACS Nano , and Applied Physics Letters , though specific awards are not listed in the provided text. He advises several graduate students, including Shaojing Li, Ruinan Chang, and Marko Lubarda, and collaborates with researchers in micromagnetics and photonics. His group utilizes advanced computational tools for modeling electromagnetic and magnetic systems. He has also contributed to educational development in electromagnetics and optics at the graduate level. Labs and teams associated with him include the CMRR research group, where he leads projects in electromagnetic modeling, magnetic recording, and nanophotonic devices. His work integrates theoretical, numerical, and applied approaches across disciplines.

Michele RuggeriView profile

Assistant Professor

• Numerical Analysis
• Partial Differential Equations
• Materials Science
• +6 more

Michele Ruggeri is an Assistant Professor of Numerical Analysis (RTD-B) at the Department of Mathematics, University of Bologna, and an Honorary Lecturer at the University of Strathclyde, UK. His research focuses on numerical analysis of partial differential equations in materials science and engineering, including liquid crystal theory, micromagnetism, nonlinear elasticity, and spintronics. He is also active in developing numerical methods for uncertainty quantification and model order reduction. Education: PhD in Technical Mathematics (TU Wien, Austria), Laurea Magistrale in Mathematics (University of Pavia, Italy), and a Diploma in Science and Technology from Scuola Universitaria Superiore IUSS, Italy. He holds a Fellowship (FHEA) from Advance HE and a PGCert in Learning & Teaching in Higher Education from the University of Strathclyde. His work emphasizes finite element methods and their applications, with contributions to computational micromagnetics and software development (e.g., Commics). He is affiliated with the (AM)² Research Center on Applied Mathematics and ARCES at the University of Bologna. Awards: Fellowship (FHEA), Advance HE, UK. Key Projects: Development of numerical methods for micromagnetic simulations, uncertainty quantification in stochastic models. Contact: m.ruggeri@unibo.it

Bernd WitzigmannView profile

Professor

• Optoelectronic Devices
• III-Nitride Semiconductors
• Quantum Well Simulations
• +7 more

Prof. Dr. Bernd Witzigmann serves as Chair Holder at the Friedrich-Alexander University Erlangen-Nürnberg (FAU) within the Department of Electrical-Electronic-Communication Engineering and the Institute of Optoelectronics. His research focuses on advanced optoelectronic device modeling, particularly III-nitride semiconductors for ultraviolet applications, THz sensing, and photonic crystal technologies. Research Areas: Optoelectronic Device Physics, III-Nitride Semiconductors, THz Sensing, Quantum Well Modeling Key Projects: DUV AlGaN LEDs, InP/InAsP Nanowire Photodetectors, Germanium Fano-Resonators His work emphasizes computational simulation of carrier transport, polarization-induced doping effects, and optical gain mechanisms, particularly in ultraviolet light-emitting diodes and quantum disc structures. Collaborative studies span CMOS-compatible sensor fabrication and biofunctionalized THz antenna systems. Recent publications highlight advancements in aluminum nitride trenchFETs, multi-color DUV LEDs, and superparamagnetic label detection using micromagnetic models. His team explores subwavelength field effects in photonic crystal cavities and bandwidth optimization for photogated nanowire photodetectors. Located in Raum 01.045 at Konrad-Zuse-Strasse 3/5, Erlangen, Prof. Witzigmann leads research at the intersection of semiconductor physics and nanophotonic applications through both theoretical and experimental approaches.

S. Joseph PoonView profile

Professor

• Experimental Condensed Matter Physics
• Thermoelectric Materials
• Topological Semimetals
• +7 more

S. Joseph Poon is the William Barton Rogers Professor of Physics at the University of Virginia in the Department of Physics, College of Arts and Sciences. He is an active experimental condensed matter physicist with a Ph.D. from the California Institute of Technology (1978). His research spans thermoelectric materials, magnetic skyrmions, and high-entropy alloys, combining experiment, computation, and data science. His research focuses on three main areas: (i) thermoelectric properties of narrow-gap semiconductors and topological semimetals, (ii) synthesis and computational modeling of ferrimagnetic and antiferromagnetic heterostructures exhibiting skyrmions and anomalous Hall effects for spintronics, and (iii) data-driven exploration of high-entropy alloys in high-dimensional composition space. These efforts aim to enable low-power, ultrafast computing and superior functional materials. The recent publications reflect a strong trend in topological magnetism and advanced materials design. His group leverages atomistic simulations, thin-film synthesis, and machine learning to uncover new physical phenomena and optimize material performance. Work on skyrmionics and high-entropy alloys demonstrates a forward-looking approach integrating physics with data science. Notable scientific recognition includes: 2020 Jesse W. Beams Research Award, American Physical Society (Southeastern Section) His research has attracted significant funding, including a $3.4 million DARPA grant for developing ultra-compact computing memory. He leads a vibrant research group and collaborates extensively with experts in spintronics and materials theory. He is also active in departmental governance, serving on key committees such as the APS/AAAS Fellowship Committee (Chair), Long Range Planning Committee, and Chair's Advisory Committee. His lab focuses on experimental and computational studies of quantum and emergent phenomena in complex materials.