جست‌وجوی استاد و پژوهشگر

• Shape Optimization
• Calculus of Variations
• Control Theory of Partial Differential Equations
• +۴ مورد دیگر

Yannick Privat is a Professor at the University of Lorraine, affiliated with the Nancy School of Mines (École des Mines de Nancy) and the Élie Cartan Institute of Lorraine (IECL). He is a member of the INRIA Sphinx project team and a Junior Member of the University Institute of France (2021-2026). His research focuses on shape and topology optimization , control of partial differential equations (PDEs) , and applications of mathematics to biology . He has supervised numerous doctoral and postdoctoral researchers on topics ranging from quantum computing to epidemiological modeling. Research Themes: Shape optimization, Control theory of PDEs, Mathematical biology, Quantum mechanics, Fluid dynamics. Honors: Blaise Pascal Prize (2023), Junior Member of the University Institute of France (2021-2026). Recent Publications: Explore quantum computing, acoustic room reconstruction, and optimal control in epidemiology.

Marcus Müllerمشاهده پروفایل

استاد

• Polymer Physics
• Soft Matter Physics
• Biophysics
• +۳ مورد دیگر

Prof. Marcus Müller is a Professor of Theoretical Physics at the University of Göttingen's Faculty of Physics, Department of Theoretical Physics. His research employs advanced computational methods to investigate fundamental phenomena in polymer systems, soft matter, and biological membranes, with significant contributions to understanding non-equilibrium dynamics and self-assembly processes. His research portfolio spans: Polymer Physics : Dynamics of polymer melts, block copolymer self-assembly, and phase separation mechanisms Soft Matter Physics : Active matter systems, membrane biophysics, and dissipative structures Computational Physics : Development of specialized simulation techniques including peridynamic-enhanced Fourier spectral methods and slip-spring models Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on the interplay between processing conditions and nanostructure formation in block copolymers, with expanding applications to battery electrolytes and biological systems. Key trends include the investigation of non-equilibrium pathways in spinodal decomposition, membrane fission/fusion mechanisms, and reaction-driven organization in active liquids, demonstrating strong integration of theoretical modeling with experimental validation. No scientific awards were documented in the available source material. While specific advising relationships and grant details were not provided, his extensive publication record suggests active mentorship of graduate students in computational soft matter physics. The research direction indicates ongoing investigation of fundamental transport phenomena in polymeric systems with applications to energy storage and cellular biophysics. His work appears conducted within computational research groups at the Department of Theoretical Physics, focusing on molecular simulations and theoretical modeling of complex soft matter systems, with particular emphasis on membrane dynamics and polymer self-assembly under non-equilibrium conditions.

• Electron Microscopy
• In-situ TEM
• Machine Learning in Material Science
• +۶ مورد دیگر

Dr. Junbeom Park is a Staff Scientist in the Institute of Energy Technologies (IET-1) at Forschungszentrum Jülich, Germany, and a member of the In-situ Electron Microscopy (iEM) group . His work focuses on advanced electron microscopy techniques, data processing, and electrochemical material characterization. PhD in Chemical Engineering from Pohang University of Science and Technology (POSTECH), South Korea Current focus on in-situ TEM for low-temperature water electrolysis and solid-state battery materials Key skills: Python-based image processing, 4D STEM analysis, FIB/SEM, and machine learning for microscopy data Research Interests span electron microscopy , in-situ TEM , machine learning in material science , and nanoscale characterization . His work bridges fundamental structural analysis with applications in energy storage and conversion. Trends in Recent Publications emphasize quantitative in-situ liquid-phase TEM , electrochemical mechanism visualization , and automation-driven data analysis . Topics include solid electrolyte interfaces , metal electrodeposition , and nanoscale process optimization . Professional Roles : Chair of Materials Division, VeKNI (2024–Present) Member, K-TAG Europe (2025–Present) Session Chair at Europe-Korea Conferences (2024, 2025) Team Affiliations include collaboration with the iEM group at Forschungszentrum Jülich, specializing in environmental TEM and data-intensive material analysis .

Tanwi Debnathمشاهده پروفایل

پژوهشگر

• Soft Matter Physics
• Statistical Physics
• Chemical Physics
• +۴ مورد دیگر

Tanwi Debnath is a Postdoctoral Researcher at the Jülich Research Centre , affiliated with the Institute for Advanced Simulation (IAS) and its Theoretical Physics of Living Matter (IAS-2) sub-group. Her research focuses on Soft Matter Physics , Statistical Physics , and Biophysics . Her work explores active matter , hydrodynamic interactions , and self-propelled particle dynamics , including recent studies on microgel-membrane interactions . Analysis of her 14 most recent publications reveals trends in active transport , diffusion processes , non-equilibrium systems , and hydrodynamic modeling .

• Stochastic Processes
• Biochemical Reaction Networks
• Computational Biology
• +۳ مورد دیگر

Linar Mikeev is a researcher affiliated with the Department of Computer Science at Saarland University, Germany . His work focuses on stochastic modeling of biochemical reaction networks using Markov processes, with applications in computational biology and systems biology. Key methodologies: Moment-based analysis, importance sampling, numerical approximation Collaborators: Alexander Andreychenko, Verena Wolf, Werner Sandmann Research Interests Mikeev's research spans stochastic processes in biochemical systems, particularly using Markov chains and hybrid models to analyze rare events in reaction networks. He develops numerical techniques for solving the chemical master equation and optimizing parameter estimation in biological systems. Recent Publications (2010-2015) His articles address biochemical reaction networks through Markovian models , with a focus on rare event probabilities, parameter inference, and hybrid numerical solutions. Collaborative work with computational biologists and systems biology researchers dominates his output. Collaborations Verena Wolf (8 co-publications) Werner Sandmann (2 co-publications) Thomas A. Henzinger (1 co-publication)

• Solid State Physics
• Nanoelectronics
• Plasmonics
• +۴ مورد دیگر

Vitaliy Igorovich Reva serves as an Associate Professor in the Department of Information Security and Nano-electronics at Zaporizhia Polytechnic National University's Faculty of Information Security and Electronic Communications. With a Candidate of Physical and Mathematical Sciences degree, his academic career at the university began in 2014 following his 2012 graduation with honors from Zaporizhia National Technical University where he earned a Master's degree in Micro- and nanoelectronic devices and devices. Dr. Reva's research spans multiple domains within nanotechnology and solid-state physics, with particular expertise in plasmonics, cluster physics, and positron behavior in solids. His work demonstrates a strong theoretical foundation combined with practical applications in nanoelectronics and materials science. His publications reveal a consistent research trajectory focusing on nanoscale phenomena, particularly the energy characteristics of metal clusters and plasmonic effects in nanostructures. Analysis of his 15 most recent publications shows a clear progression from fundamental studies of metal clusters and vacancies toward more applied research in plasmonics and nanoelectronics. His work bridges theoretical physics with practical applications in solar cell technology, catalysis, and biomedical applications. The research demonstrates strong international collaboration, with publications appearing in journals covering physics, materials science, and nanotechnology. Dr. Reva teaches courses including Process management in quality assurance, Metrological quality assurance of products, Computer Engineering and Programming, Microprocessor technology, and Programming technologies, reflecting his expertise in both theoretical and applied aspects of micro- and nanoelectronics.

Jochen Küpperمشاهده پروفایل

استاد

• Molecular Physics
• Ultrafast Dynamics
• X-ray Laser Science
• +۵ مورد دیگر

Jochen Küpper is a Professor of Physics at the University of Hamburg and heads the Controlled Molecule Imaging group at the Center for Free-Electron Laser Science (CFEL) at DESY. He also holds a professorship in the Department of Chemistry at the University of Hamburg. His research focuses on understanding the ultrafast dynamics of complex molecules during (bio)chemical reactions under well-defined conditions, with applications ranging from improved chemicals and materials to drug development. His research interests span molecular physics, ultrafast dynamics, X-ray laser science, molecular imaging, quantum chemistry, and chemical reaction dynamics. Küpper's work builds on groundbreaking approaches to control molecules and nanoparticles in the gas phase, including flash freezing, separation of structural isomers, and spatial fixation. He extends atomic-resolution imaging techniques to complex molecules using highly controlled sampling techniques and both ultrafast lasers and X-ray light sources. His recent publications reveal a strong focus on nanoparticle injection systems, laser-induced alignment of molecules, time-resolved structural biology, and advanced computational methods for molecular simulations. His work frequently involves collaborations across multiple institutions and leverages cutting-edge X-ray free-electron laser facilities. Nernst-Haber-Bodenstein Prize from the German Bunsen Society for Physical Chemistry Fellow of the Royal Society of Chemistry, UK Head of the Molecular Physics Section of the German Physical Society (2022-2025) Küpper leads a research group that develops experimental techniques for controlling and imaging molecules with unprecedented precision. His work bridges physics, chemistry, and biology through advanced imaging methodologies that capture molecular dynamics at femtosecond timescales. His laboratory maintains strong connections with international facilities including the European XFEL and DESY.

Denis Tikhonovمشاهده پروفایل

پژوهشگر

• Quantum Chemistry
• Molecular Dynamics
• Spectroscopy
• +۳ مورد دیگر

Dr. Denis Tikhonov is a Researcher at the Center For Free-Electron Laser Science (CFEL) in Hamburg, Germany, where he focuses on quantum chemistry and molecular dynamics. His work combines computational methods with experimental techniques like ultrafast electron diffraction and spectroscopy to study complex chemical systems. His research spans topics such as reaction path analysis, coherent tunneling dynamics, vibrational scaling, and chiral molecular interactions. He develops protocols for simulating infrared spectra and analyzing ionization energies in cluster systems. Analysis of his publications reveals a strong emphasis on computational physics, spectroscopy, and chemical thermodynamics, particularly in applications involving dispersion-corrected quantum methods and pump-probe spectroscopy. He has contributed to understanding hydrogen bonding, ring-opening reactions, and nuclear quadrupole coupling in molecular dissociation. Dr. Tikhonov's work frequently addresses challenges in ultrafast dynamics of polycyclic aromatic hydrocarbons (PAHs) and quantum corrections in molecular simulations. His recent studies explore time-dependent coherent chiral tunneling and inverse problems in spectroscopy, demonstrating an interdisciplinary approach bridging theoretical and experimental chemistry.

Hong Qianمشاهده پروفایل

استاد

• Mathematical Biology
• Mathematical Physics
• Stochastic Mathematics
• +۷ مورد دیگر

Professor Hong Qian is the Olga Jung Wan Endowed Professor of Applied Mathematics at the University of Washington, Seattle. He holds adjunct roles in Bioengineering and has held visiting professorships at institutions like Jilin University and Fudan University. His research focuses on stochastic analysis and nonequilibrium thermodynamics in biological systems, particularly cellular dynamics and complex systems like epidemiology and economics. Education: B.A. in Astrophysics (Peking University, 1982), Ph.D. in Biochemistry and Biophysics (Washington University School of Medicine, 1989). Professional Experience: Postdoctoral fellowships at Caltech and University of Oregon, prior roles at UCLA and NIH-funded National Simulation Resource. Research interests include nonlinear stochastic systems, nonequilibrium statistical physics, and mathematical biology. He has pioneered work on mesoscopic thermodynamics of small systems and biochemical networks. His contributions span over 160 peer-reviewed articles, including books on chemical biophysics and stochastic reaction systems. Awards: APS Fellow (2010), Royalty Research Fund (2002-2003), multiple editorial roles in top journals. Grants: Over $5M in NIH/NSF funding for projects on metabolic networks, cardiac systems, and cell population dynamics. Teaching spans advanced courses in stochastic analysis, dynamical systems, and mathematical biology. Advised over 30 graduate students and postdocs, many now leading academic and industrial roles.

• Plasma Dynamics
• Combustion Physics
• Internal Ballistics of Rockets and Guns
• +۳ مورد دیگر

Herman Krier is a Research Professor and Professor Emeritus in the Department of Mechanical Science & Engineering at the University of Illinois Urbana-Champaign (UIUC), affiliated with The Grainger College of Engineering. He holds a Ph.D. in Aerospace Sciences from Princeton University (1968), an M.A. in Arts and Sciences from Princeton (1966), and a B.S. in Mechanical Engineering from the University of Pittsburgh (1964). Ph.D. Aerospace Sciences, Princeton University, 1968 M.A. Arts and Sciences, Princeton University, 1966 B.S. Mechanical Engineering, University of Pittsburgh, 1964 His research focuses on Plasma Dynamics , Combustion Physics , Internal Ballistics of Rockets and Guns , and Reactive Gas Dynamics . Notable contributions include studies on aluminum particle combustion, solid rocket motor dynamics, and shock wave ignition mechanisms. His publications span combustion science and propulsion engineering, with recent work emphasizing aluminum-based energetic materials and their applications. Over 40 years of research has yielded advancements in understanding high-energy reactions and propulsion systems. Awards: 2007 AIAA Sustained Service Award 2005 AIAA Propellants and Combustion Award JANNAF Combustion Certificate (2002) Richard W. Kritzer Distinguished Professorship (1998–2003) He has advised numerous students and contributed to academic excellence through teaching, earning multiple awards including the Engineering Council Award for Excellence in Advising (2000). His consulting with Combustion Sciences, Inc. (1986–2000) further underscores his industry engagement. He remains active in research collaborations and has held leadership roles in combustion-related initiatives, including invited lectures at international conferences.

Richard Jagacinskiمشاهده پروفایل

استاد

• Cognitive Psychology
• Motor Control and Learning
• Human Factors
• +۵ مورد دیگر

Dr. Richard Jagacinski is a Professor of Cognitive Psychology at The Ohio State University, affiliated with the Department of Psychology in the College of Arts and Sciences. He holds a PhD from the University of Michigan (1973) and a BSE from Princeton University (1968). His research focuses on rhythmic attention in athletic/musical performance, attention/memory in vehicular control, perceptual-motor skills in aging, and technology's impact on quality of life. He teaches courses on motor control, technology ethics, and dynamic systems analysis. Research Interests: Attention and memory dynamics in driving and sports Perceptual-motor control in aging populations Cognitive modeling of spatio-temporal attention Rhythmic coordination in music and sports Human factors in technology design Awards: Andrew P. Sage Best Paper Award (2018) Lumley Interdisciplinary Research Award (2018) Fellowships from APA divisions (Experimental, Aging, Applied Experimental) Phi Beta Kappa and NSF Graduate Fellowship Labs & Projects: The Cognition in Motion Lab develops models to analyze attention distribution in driving and rhythmic performance, using reaction-diffusion frameworks and behavioral experiments. Current projects include measuring spatio-temporal attention waves and studying perceptual-motor independence in drumming/golf.

Vanessa Barthمشاهده پروفایل

پژوهشگر

• Organic Chemistry
• Materials Science
• Sensor Development
• +۲ مورد دیگر

Vanessa Barth is a Doctoral Researcher at the University of Freiburg's Cluster of Excellence livMatS (Freiburg Center for Interactive Materials and Bioinspired Technologies), where she investigates reversible oxygen storage using endoperoxide chemistry under the supervision of Prof. Dr. Henning Jessen. Her work bridges organic synthesis and engineering applications, particularly for pneumatic systems and micro-actuation devices requiring triggered oxygen release. Her research interests focus on Organic Chemistry and Materials Science, with specialization in synthesizing tunable anthracene-endoperoxides that release oxygen via temperature, mechanical stress, or pH triggers. She develops real-time optical sensor systems for monitoring oxygen kinetics, contributing to bioinspired materials design and sustainable energy storage solutions through interdisciplinary collaboration. Analysis of Barth's 2024-2025 publications reveals consistent advancement in endoperoxide applications, evolving from fundamental synthesis to integrated sensor-actuation systems. Her work demonstrates strong cross-disciplinary integration of chemical kinetics, materials characterization, and micro-engineering, primarily targeting biomedical and sustainable technology domains. No scientific awards are documented in available sources. As an early-career doctoral researcher, she has not yet assumed student advising roles or independent grant leadership.

John Andersonمشاهده پروفایل

استاد

• Cognitive Modeling
• Computational Neuroscience
• Learning and Memory
• +۳ مورد دیگر

John Anderson is R.K. Mellon University Professor of Psychology and Computer Science at Carnegie Mellon University, jointly appointed in the Department of Psychology and School of Computer Science. He directs the Anderson Lab focused on cognitive architectures and unified theories of cognition through the ACT-R framework. His research integrates computational modeling with neuroimaging to understand knowledge organization, problem-solving, and skill acquisition. Anderson's research examines how humans organize knowledge to produce intelligent behavior, with emphasis on mathematical learning, memory systems, and cognitive skill development. His work combines behavioral experiments, computational modeling (ACT-R), and neural imaging techniques (fMRI, EEG, MEG) to identify cognitive processes and their neural correlates. Recent investigations focus on discovering hidden cognitive stages through brain activation patterns and developing methods to map cognitive models to neural data. His publication trends show consistent focus on: 1) Developing methodologies to link cognitive models with neuroimaging data, 2) Analyzing stages of skill acquisition and problem solving, 3) Investigating the neural basis of mathematical cognition, and 4) Refining the ACT-R cognitive architecture. Recent work emphasizes temporal dynamics of cognition and educational applications of cognitive modeling. Scientific Awards: Heineken Prize for Cognitive Science Franklin Award in Computer and Cognitive Science Anderson advises graduate students including Qiong Zhang (PhD candidate), and leads a research team comprising postdoctoral fellows and research scientists. The lab has secured funding from NSF and other agencies for projects on mathematical learning, cognitive architectures, and neuroimaging methodologies. The Anderson Lab collaborates with researchers in psychology, computer science, and neuroscience to develop cognitive models that simulate human performance across diverse domains. Current projects include modeling inventive mathematical thinking and integrating deep learning with cognitive architectures for explainable AI systems.

Jun Nishidaمشاهده پروفایل

استادیار

• Human Computer Interaction
• IoT and Wearables Technology
• Haptics
• +۴ مورد دیگر

Jun Nishida is an Assistant Professor at the University of Maryland, College Park's Department of Computer Science, leading the Embodied Dynamics Laboratory. He holds a Ph.D. in Human Informatics from the University of Tsukuba (2019) and previously served as a postdoctoral fellow at the University of Chicago's Human Computer Integration Lab. His research focuses on wearable interfaces that share embodied experiences through technologies like electrical muscle stimulation and exoskeletons, aiming to enhance rehabilitation, education, and design collaboration. Education : Ph.D., Human Informatics, University of Tsukuba, Japan (2019) Postdoctoral Research, University of Chicago (2019–2022) Research Interests : Nishida explores human augmentation via wearable devices, emphasizing haptics, motor learning, and cognitive enhancement. His work bridges psychological theory with hardware innovation, such as exoskeletons that morph physical capabilities and systems enabling interpersonal kinesthetic synchronization. Recent projects include DexteriSync (hand dexterity sharing) and Preemptive Action (EMS-driven reaction acceleration). Awards : ACM UIST Best Paper Award (2020) Microsoft Research Asia Fellowship (2016) Forbes 30 Under 30 (2018) Guinness World Record (2022) Lab & Grants : His Embodied Dynamics Lab develops devices for body-to-body communication and cognitive enhancement. He advises four PhD students and has received grants from NSF, JSPS, and Microsoft Research. Labs/Teams : Leads the Embodied Dynamics Lab, collaborating with institutions like Sony Computer Science Laboratories and the University of Chicago.

Maria Teresa Chiriمشاهده پروفایل

استادیار

• Optimal Control
• Hyperbolic Conservation Laws
• Calculus of Variations
• +۴ مورد دیگر

Maria Teresa Chiri is an Assistant Professor in the Department of Mathematics and Statistics at Queen's University. She holds a Ph.D. from the University of Padova (2019), an M.Sc. from the University of Pisa (2016), and a B.Sc. from the University of Salento (2013). Her research focuses on optimal control, hyperbolic conservation laws, and calculus of variations, applied to traffic flow modeling, biological systems, and bioinspired robotics. She has collaborated on projects such as the CIRCLES initiative, addressing congestion reduction through connected autonomous vehicles. Key research areas include traffic dynamics with autonomous vehicles, control of invasive species, fire confinement strategies, and numerical methods for hyperbolic systems. She has held postdoctoral positions at Penn State University and contributed to interdisciplinary collaborations with institutions like UC Berkeley and Vanderbilt University. Maria is actively recruiting M.Sc. and Ph.D. students interested in pure and applied mathematics. Her work bridges theoretical analysis and real-world applications, emphasizing numerical simulations and control theory. She has published extensively on topics ranging from traffic control algorithms to bioinspired PDE models.