جست‌وجوی استاد و پژوهشگر

• Computational hydroacoustics
• Vibroacoustics
• Flow-induced noise and vibrations
• +۱۰ مورد دیگر

Mahmoud Karimi is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), leading the Vibroacoustics Research Group within the Centre for Audio, Acoustics and Vibration. He holds a PhD in Mechanical Engineering from UNSW with specialization in vibration and acoustics, and has conducted visiting research at University of Cambridge, Technical University of Munich, and INSA Lyon. His research focuses on computational hydroacoustics, vibroacoustics, and uncertainty quantification in noise/vibration problems. Academic Leadership : Editor-in-Chief of Acoustics Australia since 2025 Research Income : Attracted $6M in competitive grants ($2M as Chief Investigator) since 2017 Technical Expertise : Specializes in acoustic black hole structures, flow-induced vibration modeling, and leak detection in buried pipelines Scientific Awards : Recipient of ARC DECRA Fellowship (DE190101412) 2019-2022 Research Trends : His 91+ publications demonstrate expertise in hybrid acoustic modeling techniques, sustainable hempcrete development, and vibration energy harvesting solutions with applications in mining, rail systems, and water infrastructure. International Collaborations: University of Cambridge (UK), Technical University of Munich (Germany), INSA Lyon (France) Teaching Portfolio: Advanced numerical methods, dynamics & control, and computational modeling at UTS

• Special functions
• Fractional calculus
• Mathematical Physics
• +۲ مورد دیگر

Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

• Economic Theory
• Econometrics
• Applied Mathematics and Statistics
• +۲ مورد دیگر

Hisatoshi Tanaka is a Professor at Waseda University's Faculty of Political Science and Economics and Graduate School of Economics . He specializes in information geometry , econometrics , and mathematical economics , focusing on the geometric structures of economic models and optimal experimental design. Education : Ph.D. in Economics (2013) from the University of Wisconsin-Madison, preceded by studies at Waseda University (B.A. 1997, M.A. 2008). Research spans nonlinear economic dynamics, stochastic differential equations, and geometric approaches to binary choice models. His 2024 work on dually flat manifolds and 2023 studies on differential geometry for contingent valuation highlight his integration of advanced mathematics into economic theory. He has published extensively in journals like Information Geometry and Advances in Mathematical Economics . Scientific Awards : Recipient of multiple Waseda University Teaching Awards (2014-2023) for courses in microeconomics, economic mathematics, and econometrics. Teaching includes graduate-level courses such as Microeconomics III (Price Theory) and research guidance in theoretical economics. He supervises seminars in both the Graduate School of Economics and Political Science, emphasizing semiparametric estimation theory and mathematical foundations. Projects include nonlinear dynamics modeling for economic fluctuations, stochastic differential equation approximations, and percolation theory applications to stock market analysis. Funded by Japan Society for the Promotion of Science grants.

Chris Danforthمشاهده پروفایل

استاد

• Applied Mathematics
• Complex Systems
• Data Science
• +۶ مورد دیگر

Chris Danforth is a Professor in the Department of Mathematics & Statistics at the University of Vermont and serves as Director of the Vermont Advanced Computing Center. Co-founder of the Computational Story Lab with Peter Dodds, he applies mathematical principles to analyze complex systems across social media, behavioral health, and cultural dynamics. Education: Not explicitly stated in text Affiliation: University of Vermont His research spans Computational Social Science , Machine Learning , and Behavioral Health Analytics , focusing on quantifying human behavior through social media analysis, wearable device data, and literary structures. Key projects include the Hedonometer (Twitter happiness measurement), Storywrangler (cultural timeline analysis), and LEMURS (longitudinal study on student well-being). Recent publications demonstrate expertise in Nonlinear Dynamics , Data Privacy , and Urban Demographics . Articles explore topics ranging from pandemic attention dynamics to computational paremiology (proverb analysis), with applications in mental health prediction, market efficiency, and social justice metrics. 2022 Kroepsch-Maurice Excellence in Teaching Award NSF, AMD, and MassMutual funding Co-developer of Storywrangler and Hedonometer tools As director of the Vermont Advanced Computing Center, Danforth leads high-performance computing initiatives while maintaining an active research agenda with interdisciplinary collaborations across medicine, computer science, and social sciences.

Jason R. Greenمشاهده پروفایل

استاد

• Theoretical chemical physics
• Nonequilibrium statistical mechanics
• Data science
• +۴ مورد دیگر

Jason R. Green is a Professor in the Department of Chemistry at the University of Massachusetts Boston. With a PhD from Purdue University (2007) and postdoctoral experience at the Universities of Chicago, Cambridge, and Northwestern University, his research bridges theoretical chemistry, physics, and data science to explore nonequilibrium systems. His work focuses on transforming chemical energy into dynamically functional materials through interdisciplinary approaches. Education: B.S., Case Western Reserve University (cum laude, 2002) Ph.D., Purdue University (2007) with NASA Graduate Fellowship NSF Postdoctoral Fellow at University of Chicago and University of Cambridge Research Interests: Theoretical chemical physics Nonequilibrium statistical mechanics Data science applications in chemical systems His recent publications analyze electrochemical material dynamics (ACS Nano 2024), chemically driven self-assembly (Chemical Science 2024), and thermodynamic speed limits across disciplines (Nature Physics 2020, Physical Review X 2022). He has received prestigious fellowships including NASA's Graduate Student Researchers Program and NSF Postdoctoral Fellowship. The Green Research Group at UMB applies theory, computation, and data science to understand energy transformation in synthetic and biological materials.

John Sarffمشاهده پروفایل

استاد

• Plasma Physics
• Tokamak Research
• Magnetic Reconnection
• +۷ مورد دیگر

John Sarff is a Professor in the Department of Physics at the University of Wisconsin-Madison, specializing in plasma physics with a focus on tokamak and reversed field pinch (RFP) research . His work explores magnetohydrodynamic (MHD) stability , runaway electron dynamics , and magnetic reconnection phenomena in fusion devices such as the Madison Symmetric Torus (MST) and DIII-D tokamak. Key Research Areas: Tokamak disruptions, RFP relaxation, gyrokinetic simulations, and anomalous transport. Labs/Institutions: Wisconsin Plasma Physics Laboratory (WiPPL), MST, DIII-D collaborations. Techniques: Development of advanced diagnostics (e.g., Bdot-Mach probes, soft X-ray cameras) and computational modeling (NIMROD code).

Volker Mehrmannمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Differential-Algebraic Equations
• Control Theory
• +۴ مورد دیگر

Volker Mehrmann is a full professor at the Technical University of Berlin in the Institute of Mathematics , Faculty II - Mathematics and Natural Sciences. He has held academic positions at Chemnitz University of Technology and RWTH Aachen University . His roles include leadership in research centers: Spokesperson for the DFG Research Center Matheon (2008-2016), President of the European Mathematical Society (2017-2022), and committee member of the Cluster of Excellence MATH+. PhD: Bielefeld University (1982) Habilitation: Bielefeld University (1987) His research interests span Numerical Linear Algebra , Differential-Algebraic Equations (DAEs) , Control Theory , and Industrial Mathematics . Recent work focuses on port-Hamiltonian systems and model order reduction for multi-physics applications. Key scientific contributions include: ERC Advanced Grant (2011-2016) on multi-physics systems Hans Schneider Prize (2019) SIAM Fellow (2011) and AMS Fellow (2022) He serves as editor-in-chief of Linear Algebra and Its Applications and contributes to numerous editorial boards. His leadership roles include presidency in the European Mathematical Society and GAMM .

• complex networks
• epidemic processes
• group dynamics
• +۳ مورد دیگر

Federico Malizia is a Postdoctoral Research Associate at Northeastern University's Network Science Institute, specializing in complex systems and network science with a focus on higher-order interactions in social and biological contexts. Education PhD in Complex Systems, University of Catania, Italy His research bridges complex networks , epidemic processes , and computational social science , investigating how group dynamics emerge from higher-order structures. Using mathematical modeling and simulations, he examines contagion phenomena, social polarization, and synchronization in systems where interactions extend beyond pairwise connections. Malizia's recent publications (2024-2025) reveal fundamental patterns in higher-order network dynamics, demonstrating how hyperedge overlap and structural heterogeneity drive explosive transitions, synchronizability, and polarization. His work spans theoretical frameworks for simplicial contagion to practical inference methods for epidemic data, establishing critical links between network topology and dynamical outcomes across disciplines. As an active contributor to the Network Science Institute, he participates in collaborative research initiatives and maintains his own laboratory focused on computational models of complex systems. His work was featured in NetSci 2025 proceedings, highlighting the institute's leadership in network science research.

Eric Plumمشاهده پروفایل

پژوهشگر ارشد

• Nanophotonics
• Metamaterials
• Optical Metrology
• +۴ مورد دیگر

Dr. Eric Plum is a Principal Research Fellow at the University of Southampton's Optoelectronics Research Centre (ORC). His research focuses on nanophotonics, metamaterials, and advanced optical metrology techniques. He leads and contributes to projects such as the 'Next Generation Optical Metrology Driven by Nanophotonics' (EPSRC-funded) and 'Optical Magnetic Field Sensor' (US Office of Naval Research). Eric supervises multiple PhD students in topics like picometrology and nanomechanical systems. He has presented invited talks on photonic metamaterials and nanomechanical advancements at international conferences. His work emphasizes developing high-resolution optical measurement systems and functional metamaterial devices for applications in sensing, imaging, and signal processing. Eric's research interests include topological optics, super-resolution imaging, and nonlinear metamaterial phenomena. He collaborates with global institutions on projects like the 'Physics & Tech of Photonic Metadevices & Metasystems' (EPSRC). His recent publications explore picometer-scale metrology, metamaterial-based sensors, and the intersection of light and nanomechanical systems. He actively engages in knowledge transfer through academic partnerships and industry collaborations. Key achievements include pioneering topological picometrology systems capable of million-measurement-per-second resolution and developing novel approaches to optical magnetic field sensing. His work bridges fundamental nanophotonics research with applied technologies, positioning him at the forefront of metamaterial innovation.

Robert A. Burgelmanمشاهده پروفایل

استاد

• Strategic Management
• Corporate Innovation
• Organizational Evolution
• +۳ مورد دیگر

Robert A. Burgelman is The Edmund W. Littlefield Professor of Management at Stanford Graduate School of Business, where he has taught since 1981. He holds honorary doctorates from Copenhagen Business School (2003) and the University of St. Gallen (2017), and has served as Executive Director of the Stanford Executive Program (1996–2015). His research focuses on strategic management, corporate innovation, and organizational evolution, with notable contributions to understanding strategy-making processes in firms. Educations: PhD in Management of Organizations, Columbia University (1980) MPhil and MA in Sociology and Management, Columbia University (1978) Licentiate in Applied Economics, Antwerp University (1969) Research Interests: Burgelman’s work examines how firms adapt through strategic processes, including internal corporate venturing, strategic dynamics, and the role of leadership in innovation. He has authored seminal books such as *Inside Corporate Innovation* (1986), *Strategy is Destiny* (2002), and *Strategy-Making and Organizational Evolution* (2023). His research emphasizes the interplay between strategy, organizational structure, and long-term survival. Awards: James and Doris McNamara Faculty Fellow (2023–2024) Fellow of the Strategic Management Society and Academy of Management Leadership in Technology Award (2017) Emeritus Professor at Stanford University Teaching and Impact: Burgelman has taught executive programs globally and authored over 200 case studies, including analyses of Intel, HP, and Disney. His work bridges theory and practice, influencing corporate strategy and innovation in industries like technology, healthcare, and media.

• Semiconductor Materials
• Nanotechnology
• Condensed Matter Physics
• +۳ مورد دیگر

Dr. Emmanouil Dimakis is a Researcher and Group Leader in the Spectroscopy department at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His research focuses on semiconductor nanowires, plasmonics, and optoelectronics, with emphasis on strain engineering, heterostructure design, and advanced spectroscopic techniques such as THz and infrared nanospectroscopy. His work explores electronic and optical properties of nanomaterials, including III-V semiconductor systems, InGaN/GaN quantum wells, and core-shell nanostructures. Key themes include understanding strain effects on material performance, developing high-electron-mobility nanostructures, and optimizing optoelectronic devices for near-infrared applications. Dimakis' publications highlight innovations in nanowire growth methodologies, nonlinear plasmonic responses, and time-resolved analysis of carrier dynamics under extreme conditions. His group employs cutting-edge techniques like probe-corrected HRSTEM and THz pump-probe spectroscopy to uncover fundamental material behaviors. Despite no listed awards or grants in the provided text, his contributions to nanomaterials research and spectroscopic characterization are evident through his prolific publication record spanning over two decades. His research group at HZDR continues to advance the frontiers of semiconductor physics and nanotechnology.

Heidi Baselerمشاهده پروفایل

مدرس ارشد

• Visual Neuroscience
• Neuroimaging
• Sensory Processing
• +۴ مورد دیگر

Dr. Heidi Baseler is a Senior Lecturer in Imaging Sciences at the Hull York Medical School and the Department of Psychology , University of York . She serves as INSPIRE Programme Lead for undergraduate research and contributes to research governance and public/patient involvement in research through committees like the York Neuroimaging Centre Research Governance Committee and Involvement@York . Education : AB in Biology/Psychology from Dartmouth College (1986), PhD in Vision Science from University of California, Berkeley (1995) Career : Research Fellow at Stanford, Smith-Kettlewell Eye Research Institute, and University of York; Lecturer in Imaging Sciences at Hull York Medical School (2012-2021) Her research focuses on neural mechanisms for central/peripheral vision processing, cortical responses to sensory loss (e.g., AMD, deafness), and neuroprotective strategies like photobiomodulation. Techniques include structural and functional MRI , magnetic resonance spectroscopy , multifocal EEG , and electroretinography . Key findings include cortical reorganization in macular degeneration and superior visual performance in deaf adults. Recent article trends highlight: Neuroimaging biomarkers for AMD progression Cross-modal plasticity in deaf individuals Long-term effects of sensory deprivation on brain structure Photobiomodulation for neurodegeneration Functional connectivity in face-selective regions Contrast perception dynamics across aging Scientific awards include: Exceptional Contribution to Student Experience Finalist , Hull York Medical School (2024) Pursuing Excellence Award , Hull York Medical School (2023) Vice-Chancellor's Teaching Award , University of York (2020) Multiple Teacher of Excellence Finalist recognitions (2016-2018) She teaches undergraduate medical students in Foundations of Medicine and Neurological Diseases , and supervises MSc Cognitive Neuroscience projects. Collaborations span institutions like University of Hull , University of Lille , and University of Regensburg . Current students include Sharyfah Alasiri (PhD, Biomedical Sciences) and Erin English (PhD, Psychology) at the University of York.

• Structural Engineering
• Timber and Steel Structures
• Fire Safety Engineering
• +۵ مورد دیگر

Professor Sami Pajunen is affiliated with the Department of Civil Engineering at Tampere University, within the Faculty of Built Environment. His research focuses on structural engineering, timber and steel composites, fire safety, computational modeling, and sustainable construction practices. He has contributed significantly to the analysis of timber structures, impact sound insulation, and fire resistance of materials like cross-laminated timber (CLT). His work bridges experimental methods with advanced numerical simulations, addressing challenges in structural acoustics, nonlinear behavior, and eco-friendly construction systems. Key research interests include: structural integrity of glued laminated timber (glulam), optimization of steel-timber composite systems, fire performance of CLT panels, and vibration analysis of timber floors. He has explored innovative solutions such as the HB structural timber system and design-for-disassembly principles. His studies often involve collaboration with Finnish industry on case studies related to industrial wood construction productivity and bridge engineering practices. Publications emphasize parametric studies on structural components under fire conditions, mechanical testing of composite beams, and the application of finite element methods (FEM) for acoustic and thermal modeling. His work highlights the integration of computational tools with experimental validation to advance sustainable construction technologies.

• Condensed Matter Physics
• Materials Science
• Topological Materials
• +۵ مورد دیگر

Guoqing Chang is a Nanyang Assistant Professor at Nanyang Technological University (NTU), Singapore, and an NRF Fellow. His research focuses on computational condensed matter physics and materials science, with specialties in topological materials, quantum responses, and density functional theory (DFT)-based predictions. He leads a group exploring electronic, magnetic, and optical properties of topological systems, collaborating with experimental groups globally. Education: PhD in Physics (2014–2017, National University of Singapore), Postdoctoral Researcher at Princeton University (2018–2020). Awards include the 2023 MIT Technology Review Innovator under 35 (Asia Pacific), Singapore Young Scientist Award, and Highly Cited Researcher status since 2019. Research interests span topological quantum phases, topological insulators/semimetals, nonlinear responses, and material discovery via DFT. His group has pioneered studies on Weyl fermions, quantum spin Hall effects, and charge-order dynamics in kagome lattices. Collaborations include experimental groups worldwide to bridge theory and application. Labs/Teams: Guoqing Chang's Research Group (NTU), focusing on computational and theoretical condensed matter physics. Grants: Supported by NRF Fellowships and other funding for topological materials research. Students: Advises PhD students Yilin Z HAO and Peiyuan CUI, with alumni including Chia-Hsiu Hsu (Okinawa Institute of Science and Technology) and Yuanjun Jin (South China Normal University).

Mads Røge Eldrupمشاهده پروفایل

استادیار

• Coastal Engineering
• Fluid Dynamics
• Numerical Modeling
• +۴ مورد دیگر

Mads Røge Eldrup is an Assistant Professor at the Department of the Built Environment, Aalborg University, within the Faculty of Engineering and Science. His research focuses on coastal engineering, wave dynamics, and structural resilience of marine infrastructure. He leads the Ocean and Coastal Engineering Research Group and contributes to the BLUE – Marine & Maritime Research initiative. Research interests include breakwater stability, nonlinear wave modeling, physical model testing, and numerical simulation techniques. Key projects involve the RESCUER initiative (2024-2028) addressing resilient coastal solutions. He has authored/co-authored 46 publications since 2014, with recent work on NL-SORS wave decomposition, submerged bar dynamics, and rock armour stability. He actively participates in international conferences and workshops, including sessions on Smoothed Particle Hydrodynamics and nonlinear wavemaker theory. Collaborations span institutions globally, focusing on coastal resilience and hydraulic engineering challenges.