جستجوی استاد راهنمای دانشگاهی

Gian-Luca Oppo is Professor of Computational and Nonlinear Physics at the University of Strathclyde and Director of the Institute of Complex Systems. His research spans nonlinear photonics, quantum cavity solitons, Bose-Einstein condensates, and optical pattern formation. Oppo develops theoretical models for laser dynamics, quantum correlations in light sources, and soliton formation in microresonators. Recent work (2024-2025) explores topological photonics applications in frequency combs, polarization symmetry breaking for optical Ising machines, and optomechanical quantum droplet dynamics. He has made fundamental contributions to understanding spontaneous symmetry breaking in Kerr resonators and control of extreme optical events. Oppo's group collaborates internationally on experimental implementations of photonic computing architectures and quantum sensing technologies. Honors include the Occhialini Medal (2011), Royal Society-Leverhulme Senior Research Fellowship (2003), and fellowships from the Royal Society of Edinburgh, OSA, and Institute of Physics.

• Nonlinear Photonics
• Quantum Cavity Solitons
• Bose-Einstein Condensates
• +۲ مورد دیگر

Peter Miller is a Professor in the Department of Mathematics at the University of Michigan, Ann Arbor. He holds a Ph.D. in Applied Mathematics from the University of Arizona (1994) and has held academic positions at institutions such as Monash University (Australia) and SAMSI (USA). His research focuses on applied analysis, integrable systems, nonlinear waves, and asymptotic methods. Key areas include the study of Painlevé equations, dispersive shock waves, and Riemann-Hilbert problems. Miller has led the Applied and Interdisciplinary Mathematics graduate program and is an active mentor, overseeing numerous Ph.D. students and postdoctoral researchers. Education: Ph.D., University of Arizona (1994); M.S., University of Arizona (1991); B.S. (Summa Cum Laude), Southern Methodist University (Mathematical Sciences and Computer Science, 1989). Research interests span asymptotics of nonlinear waves, random matrix theory, and special functions. His work emphasizes multiscale phenomena and modulation theory in integrable systems. Notable contributions include studies on the semiclassical limit of the nonlinear Schrödinger equation and universality in dispersive hydrodynamics. Awards include NSF grants (2022, 2018, 2015), a Simons Fellowship (2013), and a Sloan Fellowship (2002). He has delivered plenary lectures at international conferences and authored the textbook Applied Asymptotic Analysis (AMS, 2006). Teaching responsibilities include graduate courses in applied analysis, integrable systems, and partial differential equations. He has coordinated large undergraduate programs and mentored over 30 students and postdocs. Miller serves on editorial boards for journals like Journal of Nonlinear Science and organizes conferences on dispersive equations and inverse scattering.

• Applied Mathematics
• Nonlinear Waves
• Integrable Systems
• +۵ مورد دیگر

Ole Bang is a Professor and Groupleader of the Fiber Sensors & Supercontinuum group at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU). His work spans fundamental and applied research in nonlinear optics, fiber sensors, and biophotonics, with strong industrial collaboration and alignment with UN Sustainable Development Goals. Research Interests: Supercontinuum broadband light sources Fiber-optical biosensors Microstructured polymer optical fibers (mPOFs) Nonlinear optics and nonlinear dynamics Numerical modelling of nonlinear pulse propagation Mid-infrared and terahertz photonics His recent publications (2025) demonstrate a strong focus on advanced optical sensing technologies, including mid-infrared surface plasmon resonance sensors, real-time DNA binding detection, and high-resolution liquid level sensors using fiber Bragg gratings. These works highlight trends toward biomedical, environmental, and industrial applications of photonic technologies. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: Currently supervising multiple PhD students in active projects such as Femtosecond Fiber Lasers and Low-Noise Supercontinuum Sources , Mid-infrared supercontinuum generation and rogue waves , and UV Supercontinuum Sources and Meta-Surfaces . Projects funded through DTU PhD programs, indicating institutional grant support. Labs and Teams: Ole Bang leads the Fiber Sensors & Supercontinuum research group at DTU, focusing on the development and application of advanced fiber-based photonic technologies. The group is highly active in both experimental and theoretical research, with strong ties to industrial partners like Koheras A/S and Crystal Fibre A/S.

• Nonlinear Optics
• Supercontinuum Generation
• Fiber-Optical Biosensors
• +۱۲ مورد دیگر

Francesco Fedele is an Associate Professor at Georgia Tech, concurrently affiliated with the School of Civil and Environmental Engineering and the School of Electrical and Computer Engineering. He holds a Ph.D. in Civil Engineering from the University of Vermont (2004) and a Laurea (magna cum laude) from the University Mediterranea, Italy (1998). His research spans nonlinear wave phenomena, coastal engineering, fluid mechanics, and sustainable ocean energy, with a focus on rogue waves, stereo imaging, and computational methods. His work has been published in high-impact journals like Physical Review Letters and IEEE Transactions series. Research Interests include wave turbulence, signal processing for biomedical and radar applications, and mathematical modeling of tidal energy systems. Notable contributions involve analyzing extreme waves in the Mediterranean and North Sea, contributing to maritime safety and hurricane impact studies. Publications reflect expertise in fluid dynamics, oceanography, and computational methods. Recent work addresses the geometrical phases of nonlinear systems and interval-based finite element analysis under uncertainty. His research has been featured in Georgia Tech news for applications in rogue wave prediction and structural engineering. Dr. Fedele’s academic positions and collaborations include postdoctoral research at NASA Goddard Space Flight Center (pre-Georgia Tech tenure). No specific awards are explicitly listed in the provided text, though his work has garnered media attention for its societal impact.

• Nonlinear Wave Phenomena
• Coastal and Ocean Engineering
• Fluid Mechanics
• +۱۱ مورد دیگر

Dr. Tobias Grafke is Associate Professor of Mathematics at the University of Warwick, specializing in applied and computational mathematics. His research develops tools to analyze stochastic systems in fluid dynamics, climate science, and active matter. Current projects focus on predicting rare events like AMOC collapse and turbulence proliferation using large deviation theory and numerical methods. Recent articles (2023-2025) investigate noise-induced climate tipping points, rogue wave mechanics, and scalable algorithms for stochastic PDEs. Grants include an EPSRC New Investigator Award (2020) and NSF/EPSRC joint funding. Teaches MA3J4 (Mathematical Modelling with PDE) and MA2K4 (Numerical Methods).

• Rare Events
• Fluid Dynamics
• Large Deviation Theory
• +۳ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Yannan Shen is an Associate Professor in the Department of Mathematics at the University of Kansas. Her research focuses on applied mathematics, particularly models from physics and engineering involving optical systems, metamaterials, plasmas, and Bose-Einstein condensates. She employs methods such as asymptotics, variational approximations, rigorous analysis, numerical analysis, and scientific computing to study existence, stability, and dynamics of solitary wave solutions. Her work has been supported by an NSF grant (DMS-206218, 2022-2025). Recent research emphasizes nonlinear wave equations, including the Camassa-Holm system, Novikov equation, and short-pulse equations. She teaches advanced courses like Applied Partial Differential Equations and Numerical PDE, reflecting her expertise in applied mathematics and computational methods. Key research areas: Dynamical systems, mathematical physics, numerical analysis, and nonlinear PDEs Expertise in models involving metamaterials, plasmas, and optical systems Recipient of NSF funding supporting studies on wave systems and liquid crystals

• Dynamical Systems
• Mathematical Physics
• Numerical Analysis
• +۶ مورد دیگر

Colleen Kennedy-Karpat is an Associate Professor in the Department of Communication and Design (COMD) at Bilkent University's Faculty of Art, Design, and Architecture, where she serves as Graduate Programs Coordinator and directs both the M.A. in Media and Visual Studies and M.F.A. in Media and Design programs. Her academic profile centers on film and adaptation studies, with emphases on French cinema, stardom, and cultural prestige mechanisms. Her educational foundation includes: Ph.D. in French Literature and Culture from Rutgers University (2011) M.A. in French Literature and Culture from Rutgers University (2004) Dr. Kennedy-Karpat's research investigates adaptation across media platforms, French cinematic traditions (particularly 1930s cinema and contemporary auteurs like Agnès Varda), and the cultural economies of awards and stardom. She examines transnational flows in media production, nostalgia's role in adaptation, and pedagogical approaches to film studies, often intersecting gender studies and postcolonial theory. Her work bridges historical analysis with digital humanities methodologies. Her publication trajectory reveals evolving expertise from foundational French cinema studies toward digital sustainability (e.g., Agnès Varda's legacy) and transnational adaptations (e.g., Turkish cinema, video games). Recent projects demonstrate interdisciplinary reach across gender studies, science fiction, and pedagogy, while maintaining core focus on adaptation theory and cinematic prestige systems. Award recognition includes: Northeast Modern Language Association Book Award for Rogues, Romance, and Exoticism in French Cinema of the 1930s (2013) As an educator, she oversees graduate programs and teaches courses including Analysis of Moving Image, Film Theory and Criticism, and Adaptation in Media. She co-hosts the podcast "You Made Me Watch That?!" (2022–present) and contributes to the Bilkent Media Future Initiative and New Media Open Lab, fostering collaborative research in media production and digital storytelling. Her conference organization includes "Gender and Sustainability: Agnès Varda’s Sustaining Legacy" (2020) and the upcoming Association of Adaptation Studies conference "Adaptation, Restoration, Rebirth" (2025).

• Adaptation
• French Cinema
• Film Genre
• +۵ مورد دیگر

Tommaso Buvoli is an Assistant Professor of Mathematics at Tulane University, specializing in numerical analysis, scientific computing, and high-performance computing. He holds a Ph.D. in Applied Mathematics from the University of Washington (2018) and dual B.S. degrees in Applied Mathematics and Computer Science from the University of Colorado Boulder (2013). His research focuses on developing novel numerical methods for solving complex differential equations arising in multiscale systems, including weather, combustion, and plasma simulations. Key projects include the Polynomial Time Integration Framework and Parallel-in-Time Methods for non-diffusive equations. Buvoli has secured significant grants, including NSF awards for constructing new time integrators. He actively contributes to academic service, co-organizing Tulane’s Applied and Computational Mathematics Seminar and the Mathematics Colloquium. His teaching spans courses like Scientific Computing and Ordinary Differential Equations. He has advised Master’s and undergraduate students, including Ben Stager, Garrett Gilliom, and Catherine Brooks. Notable software contributions include the Polynomial Integrator Package (PIPack) and Container Job Runner (CJR).

• Scientific computing
• High performance computing
• Numerical analysis
• +۳ مورد دیگر

Hani Kbashi is a Researcher at Aston University's School of Computer Science and Digital Technologies, affiliated with the Aston Institute of Photonic Technologies (AiPT). His primary affiliations include the College of Engineering and Physical Sciences. His research focuses on advanced photonics, fiber lasers, and optical communications, with notable contributions to dual-comb lasers, rogue wave dynamics, and 5G-enabled photonic systems. Key research areas include polarization multiplexing, vector soliton phenomena, and high-stability laser systems for applications in lidar, spectroscopy, and wireless communication. His work frequently addresses challenges in multi-wavelength generation, phase stability, and nonlinear dynamics within fiber laser cavities. Collaborative efforts span academic and industrial partners, emphasizing translational research in photonic technologies. His publications (45+ outputs) reflect deep expertise in fiber laser design, optical sensor development, and next-generation communication systems. He holds an ORCID identifier: 0000-0002-6343-248X . Labs and initiatives include the Aston Institute of Photonic Technologies (AiPT), where he contributes to cutting-edge photonic device fabrication and testing. His research trends prioritize scalability, stability, and integration of photonic solutions into real-world systems.

• Photonics
• Fiber Lasers
• Optical Sensors
• +۳ مورد دیگر

Thomas Breunung is a Researcher and Principal Investigator of the Dynamics, Structures, and Data (DSD) Lab at the University of Wisconsin-Madison's Department of Mechanical Engineering. His work integrates applied mathematics, physics, and data science to study nonlinear structural dynamics, vibrations, and stochastic systems, with applications in aerospace engineering, biological systems, and oceanography. He holds a PhD from ETH Zurich (2021), an MS and BS from Technische Universität Darmstadt (2016, 2013). His research focuses on analytical, computational, and experimental methods to understand complex dynamic systems, including vibration attenuation, rogue wave prediction, and nonlinear oscillator identification. Notable awards include the 2023 ASME Outstanding Reviewer Award and the 2020 USNC/TAM Fellowship. Current courses taught include E M A 545 (Mechanical Vibrations) and M E 440 (Intermediate Vibrations). The DSD Lab emphasizes interdisciplinary collaboration, combining theoretical rigor with practical engineering solutions. Breunung's recent work explores data-driven forecasting of extreme events, stochastic noise utilization in vibration control, and robust system identification techniques. Ongoing projects include improving predictions of freak waves using field measurements and developing computationally efficient models for nonlinear mechanical systems.

• Vibrations
• Nonlinear dynamics
• Stochastic systems
• +۳ مورد دیگر

Dr. Ion Bica is an Associate Professor at the Faculty of Arts and Science , MacEwan University , specializing in interdisciplinary research connecting mathematics to diverse domains. His work spans mathematical biology , nonlinear waves , and applications in art, music, architecture, and culture . His research focuses on mathematical modeling and simulation using partial and ordinary differential equations . Recent publications address epidemiological modeling , ecosystem dynamics , and sound analysis , reflecting his interest in applying mathematics to real-world problems across disciplines. 2023: Robust optimal design in missing data scenarios 2022: Modified SIR models for epidemiological studies 2020: Coral-algae competition dynamics 2019: Sound signature detection via statistical methods 2018: Rogue wave modeling with PDEs Dr. Bica has received multiple teaching awards and secured grants for research initiatives, including support for undergraduate student projects. His professional engagements include membership on the board of the Canadian Applied and Industrial Mathematics Society .

• Mathematical Biology
• Mathematical Modeling and Simulation
• Mathematics in Art, Music, Architecture, and Culture
• +۳ مورد دیگر

Professor Dick K. P. Yue is the Philip J. Solondz Professor of Mechanical Engineering at MIT. His research focuses on wave hydrodynamics, fluid mechanics at the air-sea interface, and the dynamics of ships and ocean structures. He holds a B.Sc., M.Sc., and Sc.D. from MIT. Yue has held leadership roles including Associate Dean of Engineering and Director of International Programs in the School of Engineering. He is a member of the U.S. National Academy of Engineering and has received numerous awards including the Gordon Y. Billard Award for service at MIT. His research encompasses surface and internal wave dynamics, turbulence, two-phase flows, and the hydrodynamics of marine organisms. Notable contributions include studies on ship wave breaking, wave energy converters, and fluid-structure interactions. Yue has also pioneered computational methods for simulating complex fluid phenomena, such as the Boundary Data Immersion Method and Eulerian label advection techniques. Awards and honors include the 2020 National Academy of Engineering membership, Georg Weinblum Lectureship, and Skolkovo Chair professorship. His work bridges academic research with practical applications in ocean engineering, renewable energy, and marine robotics. Yue has advised numerous students and collaborates globally, including visiting professorships at Shanghai Jiao Tong University, TU Delft, and the Norwegian University of Science and Technology.

• Wave Hydrodynamics
• Fluid Mechanics
• Offshore Structures
• +۴ مورد دیگر

Professor Onno Bokhove holds the Chair in Geophysical Fluid Dynamics at the School of Mathematics, Faculty of Engineering and Physical Sciences, University of Leeds. With extensive expertise in applied mathematics of geophysical fluid dynamics, he bridges theoretical mathematical approaches with practical environmental solutions, particularly in flood mitigation and wave dynamics. His research encompasses: Design and testing of laboratory configurations for mathematical model validation Computational techniques for PDEs using discontinuous Galerkin FEM Hamiltonian fluid dynamics frameworks Idealised models for weather prediction Hydraulic solutions of hyperbolic systems Flood mitigation strategies through flood-excess volume analysis Analysis of his recent publications reveals a strategic shift toward practical applications of geophysical fluid dynamics with significant societal impact. Professor Bokhove pioneered the concept of "flood-excess volume" as a communication tool for flood mitigation effectiveness, which evolved from the Wetropolis demonstrator into a REF2021 Impact Case Study. His work increasingly integrates mathematical rigor with policy-relevant applications, particularly through the EU-funded Eagre project on high-seas wave-impact modeling, where he serves as principal investigator collaborating with MARIN (Maritime Research Institute Netherlands). Professor Bokhove has supervised numerous PhD students across diverse fluid dynamics applications: Tom Kent (2014-2016): EPSRC Case Met Office project with Steve Tobias Floriane Gidel (2015-2018): EU project with Mark Kelmanson Tomasz Salwa (2015-2019): EU project with Mark Kelmanson Luca Cantarello: NERC Case with Met Office Current students Yang Lu and Wajiha Rehman working on the EU Eagre project His research has been supported by significant grants including: EU European Industrial Doctorates project "Eagre" (2020-2023, project 859983) NERC-funded projects on flood mitigation EPSRC Case projects with the Met Office REF2021 Impact Case Study funding Professor Bokhove leads research teams within the Leeds Institute for Fluid Dynamics focusing on: The Wetropolis flood demonstrator project, now a policy-relevant analytical framework The Eagre project developing numerical wavetanks for extreme wave modeling Collaborations with MARIN on wave-energy devices and offshore structures

• Geophysical fluid dynamics
• Computational fluid dynamics
• Laboratory experiments
• +۷ مورد دیگر

Dr Andrea Santamaria Garcia is a Lecturer in Artificial Intelligence for Particle Accelerators at the University of Liverpool and a member of the Cockcroft Institute. Her work bridges accelerator physics with machine learning, focusing on reinforcement learning and Bayesian optimization for real-time particle accelerator control. Current Research: Reinforcement learning in autonomous accelerators, Bayesian optimization, differentiable simulations Key Projects: RL4AA collaboration, Cheetah simulation code, microbunching instability control Education: PhD in Accelerator Physics (CERN), postdoctoral work on electron light sources Her research explores the synergy between accelerator physics and machine learning, particularly through reinforcement learning and Bayesian optimization . Recent work focuses on zero-shot reinforcement learning, meta-algorithms, and deploying machine learning on hardware for low-latency beam control. She leads collaborations with KIT, DESY, and CERN, including the development of the first differentiable beam physics simulation code. Scientific highlights include the 2024 Physical Review Accelerators and Beams Editors' Choice for her work on online reinforcement learning in accelerators. Her publications demonstrate cross-disciplinary impact in Scientific Reports and Physical Review Accelerators and Beams . PhD Supervision: Chenran Xu (KIT/DESY), Luca Scomparin (real-time RL platform) Teaching Philosophy: Emphasizes precision, ethics, and interdisciplinary collaboration She collaborates with international institutions and co-founded the Reinforcement Learning for Autonomous Accelerators (RL4AA) initiative, which organizes annual workshops on cutting-edge control techniques.

• Accelerator Physics
• Machine Learning
• Reinforcement Learning
• +۴ مورد دیگر