جستجوی استاد راهنمای دانشگاهی

George Fikiorisمشاهده پروفایل

استاد

• Antennas
• Electromagnetic Theory
• Numerical Methods
• +۵ مورد دیگر

George Fikioris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). He holds degrees from NTUA and Harvard University, and has held academic positions since 2002, progressing to full Professor in 2017. His research focuses on electromagnetism, antennas, numerical methods, and applied mathematics. He authored/co-authored over 60 peer-reviewed papers and multiple books including 'Cylindrical Antennas and Arrays' and 'Selected Asymptotic Methods with Applications to Electromagnetics.' Education: BEng in Electrical Engineering, NTUA (1986) MS and PhD in Applied Sciences from Harvard University (1987, 1993) Research Interests: Electromagnetic theory and numerical methods Antenna design and analysis Asymptotic and spectral methods Superoscillations and wave phenomena Graphene-based shielding materials Publications trends reflect expertise in computational electromagnetics, antenna theory, and mathematical physics. He contributes to IEEE journals and collaborates internationally. A member of IEEE Antennas & Propagation Society and TEE (Technical Chamber of Greece). Labs/Teams: Active in computational electromagnetics research groups at NTUA, focusing on antenna modeling and numerical methods validation.

Gennady Elمشاهده پروفایل

استاد

• Nonlinear Waves
• Fluid Dynamics
• Nonlinear Optics
• +۵ مورد دیگر

Gennady El is a Professor of Applied Mathematics at Northumbria University's Department of Mathematics, Physics and Electrical Engineering. He holds Visiting Professorships at Loughborough University and Université de Lille. His research focuses on nonlinear dispersive waves, solitons, asymptotic methods, and applications in fluid dynamics and nonlinear optics. He collaborates with experimentalists and industrial partners, particularly in fiber optics and water waves. El's education includes a PhD in Theoretical Physics (1991). He previously held roles at Loughborough University, including Lecturer, Senior Lecturer, and Reader. His work bridges integrable systems and statistical mechanics, with recent emphasis on soliton and breather gases using inverse scattering transforms and numerical simulations. Research interests include dispersive hydrodynamics, modulational instability, and rogue waves. He leads projects funded by the Engineering and Physical Sciences Research Council (EPSRC), focusing on integrable turbulence. El is a member of the London Mathematical Society and SIAM, and co-founded the Journal of Nonlinear Waves . His advising and grants include supervision of PhD students and EPSRC funding (2018-2020) for studies on soliton condensates and turbulence. Collaborations span fluid dynamics experiments and fiber optics, with industrial applications explored through joint projects. El's work on soliton gases and dispersive shock waves has been validated through experiments and numerical simulations, contributing to both fundamental theory and applied technologies.

• Quantum Electromagnetics
• Computational Electromagnetics
• Numerical Methods
• +۵ مورد دیگر

Weng Chew is a Distinguished Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. His research focuses on quantum electromagnetics, computational electromagnetics, and numerical methods for electromagnetic systems. He has held roles on committees such as the Engineering Area Promotions Committee and Dean's Awards Committee. Chew's work bridges classical and quantum electromagnetics, addressing challenges in non-Markovian systems, quantum entanglement, and advanced solver algorithms. His contributions include pioneering methods like the sparsified nested dissection preconditioner for discrete exterior calculus and innovations in tensor-network simulations for quantum systems. Research interests span theoretical and applied electromagnetics, including Casimir effect modeling, finite-difference time-domain methods, and waveguide quantization. Recent publications emphasize quantum information preservation in numerical models, cavity quantum electrodynamics, and hybrid solver techniques. Despite his prolific output, no specific awards or grants are explicitly listed in the provided materials. Chew collaborates actively with interdisciplinary teams, exploring applications in quantum computing hardware design and remote sensing technologies. His lab develops advanced numerical frameworks for analyzing complex electromagnetic phenomena in both classical and quantum regimes. Future work continues to focus on bridging theoretical insights with practical computational tools for emerging quantum technologies.

• Applied Mathematics
• Electrical Engineering
• Mathematical Physics
• +۴ مورد دیگر

Roumani Alabd is an Associate Lecturer at the School of Mathematical and Physical Sciences, University of Technology Sydney (UTS). They hold a PhD (2023) and Master by Research (2018) in Applied Mathematics from UTS, with a focus on mathematical modeling in medical physics and wave propagation. Their research interests include treatment planning for multi-ion particle therapy, electromagnetic wave interactions, and Brillouin scattering in elastic materials. Alabd has conducted funded research on machine learning applications in radiation therapy and scatter correction modeling, collaborating with industry partners like Rapiscan Australia Pty Ltd. Teaching responsibilities include courses on Vector Calculus, Discrete Mathematics, Electrical Engineering fundamentals, and Mobile Application Development. They currently supervise Masters and PhD students in mathematical and physical sciences. Research highlights include developing optimization algorithms for nonnegative linear least-square problems and advancing PET scanner design through scintillation detector research. Recent publications focus on medical physics innovations, including HDR brachytherapy quality assurance systems and multi-ion beam therapy planning. Alabd’s work bridges applied mathematics with engineering applications in healthcare technology.

• Microlocal Analysis
• Partial Differential Equations
• Geometric Scattering
• +۳ مورد دیگر

Antônio Sá Barreto is a Professor of Mathematics at Purdue University. His research focuses on microlocal analysis, applications to partial differential equations, geometric scattering, and spectral theory. He completed his Ph.D. under Richard Melrose at MIT. Teaching roles include courses such as MA262 Linear Algebra and Differential Equations, MA544 Real Analysis and Measure Theory, and various calculus courses from 2016 to 2021. His lectures and notes are accessible via Brightspace. He has advised seven Ph.D. students, including notable names like Leonardo Marazzi and Yiran Wang. Recent academic involvement includes organizing conferences such as the Special Session on Nonlinear Inverse Problems (33rd Brazilian Mathematics Colloquium, 2021) and the May Midwestern Microlocal Meetings (2015–2019).

Plamen Stefanovمشاهده پروفایل

استاد

• Inverse Problems
• Partial Differential Equations
• Geometric Analysis
• +۳ مورد دیگر

Dr. Plamen Stefanov is a Professor of Mathematics at Purdue University's Department of Mathematics within the College of Science. He holds a Ph.D. from Sofia University (1988) and has served as Associate Head for Graduate Studies from 2019 to 2023. His research focuses on inverse problems, integral geometry, partial differential equations, and microlocal analysis, with applications to scattering theory and geometric analysis. Recent work includes studies on light ray transforms, nonlinear wave phenomena, and boundary rigidity problems. His research has been supported by collaborative projects and international conferences, and he maintains an active role in the academic community through editorial work and mentoring efforts. His academic contributions span theoretical advancements in inverse scattering, tomography, and geometric analysis, with a particular emphasis on developing novel methodologies for solving inverse problems in complex systems. His work often bridges mathematical theory with practical applications in physics and engineering. Notable projects include investigations into the Lorentzian scattering rigidity problem and the recovery of nonlinear terms in wave equations. Dr. Stefanov’s expertise is reflected in over 150 peer-reviewed articles, with recent publications addressing topics such as the solid-fluid transmission problem, microlocal analysis in tomography, and the mathematical foundations of multiwave tomography. He is an active member of the inverse problems community, contributing to conferences and journal editorships.

Bobby Wilsonمشاهده پروفایل

استادیار

• Harmonic Analysis
• Dispersive Partial Differential Equations
• Geometric Measure Theory
• +۲ مورد دیگر

Bobby Wilson is an Assistant Professor at the University of Washington and holds the John Rainwater Faculty Fellowship. He previously served as a CLE Moore Instructor at MIT from 2015 to 2018. He earned his PhD from the University of Chicago. His research focuses on Harmonic Analysis, Dispersive Partial Differential Equations (PDEs), and Geometric Measure Theory. He explores topics such as maximal functions, scattering theory in nonlinear Schrödinger equations, and rectifiability in rough geometric settings. Wilson teaches graduate courses like Functional Analysis (Math 525) and Classical & Multilinear Harmonic Analysis (Math 581A). His recent publications include studies on maximal Fourier series estimates, density properties in Banach spaces, and scattering in hyperbolic spaces. He actively supervises PhD students in his research areas.

• Biomedical Engineering
• Engineering Education
• Mathematics Pedagogy
• +۳ مورد دیگر

Matheus de Andrade is a Lecturer (Teaching) at the University College London's UCL Centre for Engineering Education, part of the UCL Faculty of Engineering Sciences. He holds a PhD in Biomedical Engineering from UCL and a BSc in Mechanical Engineering from Rio de Janeiro State University (UERJ), Brazil. His research spans biomedical engineering applications of high-intensity focused ultrasound (HIFU), particularly histotripsy techniques for non-invasive surgery and cell transplantation, alongside innovations in engineering education pedagogy. His academic journey includes a research assistantship at The University of Sheffield focusing on underwater ultrasound sensor design using finite element methods. He has contributed to advancing educational strategies through open-book assessments and real-world problem solving in engineering mathematics, emphasizing sustainable development goals and interdisciplinary learning. Key research trends in his publications focus on: histotripsy's cellular mechanisms and clinical applications, optimization of ultrasound parameters in tissue ablation, and curriculum design for active learning. His consultancy work extends to industry collaborations through UCL Consultants Ltd, addressing biomedical technology and engineering education challenges. He maintains active involvement in the biomedical engineering community and contributes to peer review activities.

• Biomedical Imaging
• Signal Processing
• Compressed Sensing
• +۳ مورد دیگر

Yoram Bresler is a GEBI Founder Professor of Engineering at the University of Illinois at Urbana-Champaign, affiliated with the Departments of Electrical and Computer Engineering, Bioengineering, and the Coordinated Science Laboratory. His research focuses on biomedical imaging systems, statistical signal processing, and compressed sensing. He has held academic positions since 1987 and is also the founder and CTO of InstaRecon, Inc., commercializing tomographic reconstruction technologies. Dr. Bresler has authored numerous influential papers, including work on identifiability in bilinear inverse problems and blind deconvolution. He has received prestigious awards such as the IEEE Fellow and AIMBE Fellow recognitions. His work bridges theoretical advancements with practical applications in medical imaging and signal processing. Education: B.Sc. (cum laude), M.Sc., and Ph.D. in Electrical Engineering from Technion (1974–1986) and Stanford University (1986). Professional roles include editorial board memberships at IEEE Transactions on Signal Processing and SIAM Journal on Imaging Sciences. He has advised over 20 graduate students and holds patents in imaging and signal processing technologies. Research Interests: Biomedical imaging, inverse problems, compressed sensing, sparse representations, machine learning, and tomographic reconstruction. His contributions span theoretical foundations and practical algorithms, with applications in MRI, CT, and ultrasound imaging. Awards: Multiple Best Paper Awards from IEEE Signal Processing Society, NSF Presidential Young Investigator Award, and Xerox Faculty Research Award. Recognized as a University Scholar and NCSA Faculty Fellow. Grants and Labs: Active in interdisciplinary research through collaborations with the Beckman Institute, NCSA, and industry partners. His lab develops cutting-edge techniques for dynamic imaging and sparse signal recovery.

• Atomic Physics
• Astrophysics
• Plasma Physics
• +۳ مورد دیگر

Sultana Nahar is a Research Professor in the Department of Astronomy at The Ohio State University, affiliated with the College of Arts and Sciences. Her research focuses on atomic physics, astrophysics, and plasma processes with applications to stellar interiors, exoplanetary atmospheres, and nanobiomedicine. She leads the Iron Project and Opacity Project, advancing radiative opacity calculations and atomic data for astrophysical modeling. Her work involves R-matrix methodology, Monte Carlo simulations, and database development (e.g., NORAD-Atomic-Data). Nahar holds a Ph.D. in Physics from Wayne State University and has contributed to international STEM education initiatives through collaborations like the Cairo University Memorandum of Agreement. Education: Ph.D. 1987, Physics, Wayne State University M.A. 1982, Physics, Wayne State University M.Sc. 1979, Physics, University of Dhaka B.Sc. 1977, Physics, University of Dhaka Research Interests: Dr. Nahar’s expertise spans atomic structure calculations, plasma opacity modeling, and spectroscopic analysis of astrophysical phenomena. She investigates photoionization processes in ions like Fe, Ca, Cl, and lanthanides, with implications for solar abundance problems, kilonova events, and exoplanet biosignatures. Her computational methods address high-precision atomic data needs for astrophysical simulations. Publications Trends: Recent work emphasizes R-matrix calculations for iron ions, phosphorus cations, and lanthanides; development of opacity databases; and exoplanetary biosignature modeling. Key themes include solar opacity discrepancies, gravitational wave astronomy applications, and Monte Carlo radiation transfer techniques. Grants & Collaboration: She collaborates internationally on STEM faculty training (e.g., India’s Obama-Singh Initiative) and plasma physics research. Her projects involve advanced computational facilities and experimental validation with synchrotron facilities. Labs/Teams: Active in Ohio State’s Astronomy Department instrumentation group, contributing to projects like the Iron Opacity Project and NORAD-Atomic-Data database maintenance.

Gerald Teschlمشاهده پروفایل

استاد

• Mathematical Physics
• Spectral Theory
• Nonlinear Dynamics
• +۳ مورد دیگر

Gerald Teschl is a Professor in the Department of Mathematics at the University of Vienna, affiliated with the Faculty of Mathematics. He is a leading researcher in mathematical physics and partial differential equations, focusing on spectral theory, integrable systems, and nonlinear wave equations. His work bridges pure mathematics with applications in quantum mechanics, functional analysis, and biomathematics. Roles: Professor, Researcher, Educator Affiliations: Faculty of Mathematics, University of Vienna; Erwin Schrödinger International Institute for Mathematics and Physics (ESI) Education: PhD in Mathematics from the University of Missouri (1995). Diploma in Mathematics from TU Graz (1993). Research Interests: Spectral and inverse spectral theory of differential operators, completely integrable nonlinear wave equations (e.g., KdV, Toda lattices), algebro-geometric solutions, biomathematical modeling of respiratory systems, and functional analysis. Publications: Over 150 peer-reviewed articles, research monographs, and textbooks including Mathematical Methods in Quantum Mechanics and Ordinary Differential Equations and Dynamical Systems . His work often explores connections between spectral theory and integrable systems. Grants & Projects: Principal investigator in FWF-funded projects (START Y330, Doctoral Program Dissipation and Dispersion in Nonlinear Differential Equations). Active in international collaborations and conferences. Labs/Teams: Member of the Mathematical Physics and PDE research group at the University of Vienna.

Yuehaw Khooمشاهده پروفایل

استادیار

• Computational Biology
• Quantum Many-Body Physics
• Structural Biology
• +۵ مورد دیگر

Yuehaw Khoo is an Assistant Professor in the Department of Statistics at the University of Chicago and a member of the Committee on Computational and Applied Mathematics (CCAM). His research develops computational and data-driven techniques for biological and physical sciences, focusing on many-body physics and protein structure determination from NMR spectroscopy and Cryo-EM. Khoo holds a Ph.D. in Physics from Princeton University (2016) and a B.Sc. in Physics from the University of Virginia (2009). His academic journey included doctoral supervision by Amit Singer at Princeton (2012-2016), postdoctoral mentorship under Lexing Ying at Stanford (2016-2019), and master's thesis guidance from Phuan Ong at Princeton (2010-2012). Ph.D. in Physics, Princeton University (2016) B.Sc. in Physics, University of Virginia (2009) His research integrates convex/non-convex optimization, neural networks, and tensor networks to solve computational structural biology challenges (Cryo-EM, NMR) and quantum many-body physics problems. Key interests include protein structure determination, strongly correlated systems, and matching/registration for medical applications, emphasizing scalable algorithmic solutions. Analysis of his 2024 publications reveals dominant trends in tensor network applications for quantum Monte Carlo, sketching techniques for high-dimensional problems, and optimization-driven approaches to inverse scattering and Cryo-EM reconstruction. These works bridge machine learning, numerical analysis, and domain-specific scientific challenges across physics and biology. Khoo received the prestigious Sloan Fellowship in 2024 for his contributions to computational methods in physics and biology. Sloan Fellowship (2024) As an assistant professor, Khoo advises graduate students in statistics and computational mathematics, guiding research in optimization, tensor methods, and neural networks for scientific applications. His mentorship extends to interdisciplinary projects connecting statistical theory with biological and physical implementations. He actively contributes to the Committee on Computational and Applied Mathematics (CCAM), fostering collaboration between statistics, applied mathematics, and domain sciences through interdisciplinary research initiatives at the University of Chicago.

George Barbastathisمشاهده پروفایل

استاد

• Computational Imaging
• Machine Learning
• Optical System Design
• +۵ مورد دیگر

George Barbastathis is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT) and leads the 3D Optical Systems Group. He is also affiliated with the Singapore-MIT Alliance for Research and Technology (SMART) Centre in Singapore. Academic Affiliation: Massachusetts Institute of Technology, School of Engineering, Department of Mechanical Engineering Research Focus: Machine learning and optimization for computational imaging, inverse problems, optical system design, and artificial optical materials. His research integrates machine learning with physical modeling for applications in biomedical imaging, pharmaceutical manufacturing, and nanophotonics. Recent work explores uncertainty quantification, dynamical machine learning, and AI-driven diagnostics for glaucoma. His publications demonstrate expertise in deep learning, X-ray tomography, and optical metrology. Advising highlights include mentoring Qihang Zhang, Iksung Kang, and Mo Deng. The group has contributed to AI-based particle size estimation, recurrent neural network approaches for transparent object imaging, and mechanistic modeling of lyophilization processes. Key sponsors and collaborators include MIT's Computational Science and Engineering (CSE) program and the SMART Centre. The 3D Optical Systems Group focuses on optical design, biomedical imaging, and industrial inspection using advanced computational methods.

Ira Z. Rothsteinمشاهده پروفایل

استاد

• Effective Field Theory (EFT)
• High Energy Physics Theory
• Nuclear & Particle Physics
• +۷ مورد دیگر

Ira Z. Rothstein is a Professor of Physics at Carnegie Mellon University's Department of Physics, Mellon College of Science. His academic journey includes a Ph.D. from the University of Maryland (1992) and an M.Sc. from Brown University (1987). He has held postdoctoral positions at the University of Michigan and UC San Diego before joining CMU in 1997. Professor Rothstein is a Fellow of the American Physical Society. His research focuses on applying Effective Field Theory (EFT) to diverse systems, including Higgs boson dynamics at the LHC, black hole physics (especially gravitational wave studies for LIGO), and quantum aspects of condensed matter systems like cold atomic gases and van Hove singularities in solids. Recent work includes calculating black hole spin effects on gravitational waveforms and exploring symmetry-driven phenomena in strongly coupled systems. Rothstein’s publications span high-impact journals like Physical Review Letters , Nuclear Physics B , and Journal of High Energy Physics . His work bridges quantum field theory with classical gravitational phenomena, emphasizing multi-scale problems and decoupling principles rooted in locality. He has developed novel EFT frameworks to address challenges in particle physics, astrophysics, and condensed matter physics. Key contributions include advancing methods for gravitational wave calculations, understanding non-Fermi liquid behavior in unitary gases, and probing quarkonium production via jet substructure analysis. His theoretical tools have been applied to dark matter annihilation rates and the interplay between scattering amplitudes and classical potentials in post-Minkowskian gravity.

Lei Cuiمشاهده پروفایل

مدرس ارشد

• Robotics
• Mechatronics
• Biorobotics
• +۲ مورد دیگر

Lei Cui is a Senior Lecturer in Mechatronics at Curtin University's School of Civil and Mechanical Engineering, where he heads the Biorobotics Research Lab. He holds a PhD in Engineering (Robotics) from King's College London and was a Postdoctoral Fellow at Carnegie Mellon University's Robotics Institute. Research focuses on robotics and mechatronics with applications in biomedical engineering and environmental monitoring. Key areas include: rehabilitation robotics (exoskeletons for hand/knee function), underwater bio-inspired sensing systems, robotic manipulation via rolling/sliding contact, and neural-adaptive control systems. Recent projects integrate AI for soil carbon analysis and attention-based rehabilitation. Publications emphasize interdisciplinary innovation, with trends showing progression from fundamental kinematics (2015-2017) to AI-enhanced biomedical applications (2018-2022). Notable methodological advances include neural control frameworks, biomimetic sensor designs, and optimization techniques for assistive devices. Awards include: Editors' Choice Award, Journal of Mechanical Design (ASME 2018) IEEE/RSJ IROS Best Paper Finalist (2016) Curtin University Commercial Innovation Award (2015) Laboratory work centers on the Biorobotics Research Lab, focusing on human-robot interaction and neuromotor devices. No students or grants are detailed in provided materials.