جست‌وجوی استاد و پژوهشگر

Valentin Gueugneauمشاهده پروفایل

پژوهشگر

• Volcanic Flows
• Physical Volcanology
• Pyroclastic Density Currents
• +۳ مورد دیگر

Valentin Gueugneau is a Post-Doctoral Researcher in the School of Geosciences at the University of South Florida, based in office SCA 517 with contact number 813.974.0325. His academic background includes: MS in Volcanology, Université Blaise Pascal, Clermont-Ferrand, France (2015) PhD in Volcanology, Université Clermont Auvergne, Clermont-Ferrand, France (2018). Dissertation: "Study of the formation and propagation mechanisms of ash-cloud surges by both numerical and experimental modelling" under Karim Kelfoun. Dr. Gueugneau specializes in physical volcanology with expertise in Pyroclastic Density Current (PDC) dynamics. His research integrates numerical and experimental approaches to model volcanic flows, particularly focusing on surge-derived pyroclastic flows and pore pressure effects in granular avalanches. At USF, he leads a critical project developing standardized validation protocols for PDC hazard models to improve volcanic risk assessment. His publication record (2017-2019) reveals a concentrated research trajectory in computational volcanology, with emphasis on reconstructing historical eruptions (Soufrière Hills 1997, Merapi 2010) through advanced simulation techniques. This work bridges theoretical fluid dynamics with practical hazard mitigation strategies. Dr. Gueugneau maintains active international collaborations with leading volcanologists including Karim Kelfoun, Thomas Druitt, and Olivier Roche, as evidenced by his conference presentations at Cities on Volcanoes 10 and EGU General Assembly.

• Statistics
• Econometrics
• Financial Risk Modeling
• +۵ مورد دیگر

Assoc. Prof. Nikolay Chudomirov Netov serves as Head of the Department of Statistics and Econometrics at Sofia University's Faculty of Economics and Business Administration, with over fifteen years of experience in international scientific, applied, and educational projects across global collaborations. His research spans critical interdisciplinary domains: Financial Risk Modeling (Value at Risk, Black-Scholes algorithms, stock market forecasting) Transportation Analytics (telecom data-driven public transport optimization, passenger flow modeling) Public Policy & Digitalization (e-government services, citizen sentiment analysis using transformer models) Public Health (vaccination patterns, screen time evaluation, autoimmune disease modeling) Recent publications reveal accelerating convergence of advanced computational techniques with societal challenges, particularly through: Transformer-based NLP for granular public sentiment/emotion analysis in government domains Anonymized telecommunications data applications for sustainable urban mobility solutions Hybrid mathematical-statistical frameworks for financial and biological systems Scientific recognition includes: Annual award for "Career in IT" project (2014) Responsible Business Award in "Investor in Knowledge" category (2015) Netov actively bridges academia-business divides through project leadership, notably as Board Director of FEBA's Alumni Association (Bulgaria's largest with 7,000+ members). His "Career in IT" initiative exemplifies successful NGO-business-academia partnerships, while current research focuses on data-driven public service optimization and financial risk modeling. Departmental leadership combines with international project coordination to advance Sofia University's research profile in computational social sciences.

Newton Armstrongمشاهده پروفایل

استاد

• Instrumental and Electronic Composition
• Electronic and Digital Performance
• Sound Art
• +۵ مورد دیگر

Professor Newton Armstrong at City St George's, University of London is a composer, performer, and electronic musical instrument designer whose work bridges instrumental and electronic music with focus on human-technology-environment interactions. Ph.D., Princeton University (2006) M.F.A., Princeton University (2003) M.Mus., University of Melbourne (1996) B.Mus. (Hons), University of Melbourne (1991) His research explores: Instrumental and Electronic Composition through hybrid acoustic-electronic systems Digital Performance via custom software/hardware development Sound Art with environmental acoustics and psychoacoustic phenomena Machine Learning applications in rhythm perception and generation Experimental Music Aesthetics in 20th/21st century contexts From his 15 most recent works, key trends emerge in: Neural network models for expressive timing Spatialized sound installation design Instrument development for enactive performance Contemporary chamber music with extended techniques Temporal structure analysis through mathematical frameworks Urban acoustic ecology applications

Victor Kaliakinمشاهده پروفایل

استاد

• Computational Geomechanics
• Constitutive Models for Cohesive Soils
• Polymeric Reinforcement
• +۵ مورد دیگر

Victor Kaliakin is a Professor in the Department of Civil and Environmental Engineering at the University of Delaware, a member of the Geotechnical Research Group, and holds affiliate roles in Kazakhstan geotechnical initiatives. He previously served as a Visiting Assistant Professor at the University of Arizona, a researcher at Sandia National Laboratory, and held engineering roles in California. Education: PhD (1985) and Bachelor (1978) from University of California, Davis; Master (1979) from University of California, Berkeley. His research focuses on computational geomechanics, constitutive modeling for soils and polymers, and numerical methods. He authored two textbooks: Approximate Solution Techniques (2002) and Soil Mechanics: Calculations, Principles, and Methods (2017). Research emphasizes transition soils, unsaturated soils, and thermo-hydro-mechanical behavior. Collaborations include Kazakhstan-U.S. geotechnical workshops and symposia. Active in professional societies including ASCE, American Academy of Mechanics, and the Kazakhstan Geotechnical Society. Key contributions include finite element models for geosynthetic-reinforced systems, pile foundations in challenging soils, and biochar soil improvement. His work addresses practical engineering challenges in construction safety, soil behavior under dynamic loads, and material characterization.

• Continuum Mechanics
• Random Fields
• Fractal Analysis
• +۴ مورد دیگر

Martin Ostoja Starzewski is a Professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Department of Mechanical Science and Engineering, the National Center for Supercomputing Applications (NCSA), and the Beckman Institute for Advanced Science and Technology. His research focuses on stochastic mechanics, continuum physics, and fractal media, with emphasis on random fields, thermodynamics, and material behavior under complex conditions. Key research interests include: Random field theory and its applications in mechanics Fractal and Hurst effect modeling in materials and turbulence Continuum mechanics of heterogeneous and anisotropic media Thermoelasticity and non-equilibrium thermodynamics Numerical methods for nonlinear dynamical systems Recent work explores odd elasticity, fractal scaling in granular systems, and heat conduction in biological tissues. He has published over 300 peer-reviewed articles and is recognized as a Fellow of multiple professional societies, including ASME and AIHEM. Notable awards include the 2024 Foreign Membership in Academia Europaea and the 2023 INI Rothschild Distinguished Visiting Fellowship. His affiliations with NCSA and Beckman Institute support interdisciplinary collaborations in computational mechanics and advanced materials research.

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

John Lambros is the Donald Biggar Willett Professor of Aerospace Engineering and holds a joint appointment in Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. His research focuses on advanced manufacturing techniques, materials science, and fracture mechanics. Key areas include additive manufacturing processes, residual stress analysis, thermal stress effects, and digital image correlation for material characterization. His work investigates the mechanical behavior of materials under extreme conditions, such as thermal loading and dynamic deformation. Notable contributions include studies on crack growth in single crystals, inverse material modeling, and granular media dynamics. He has been recognized with prestigious awards such as the AAM Fellowship and ASME Fellowship. Research Interests: Additive Manufacturing, Fracture Mechanics, Digital Image Correlation, Thermal Stress Analysis Key Technologies: Transmission Electron Microscopy, Finite Element Analysis, Residual Stress Measurement Recent publications explore topics like residual stress quantification in additively manufactured metals and the impact of thermal loading on structural components. His collaborative research spans academia and industry, addressing challenges in material design and manufacturing precision.

Jos C.H. Zeegersمشاهده پروفایل

دانشیار

• Experimental Fluid Dynamics
• Thin Film Flows
• Turbulence
• +۵ مورد دیگر

Jos C.H. Zeegers is an Associate Professor in the Department of Applied Physics at Eindhoven University of Technology, specializing in experimental fluid dynamics with a focus on sustainability. He leads the Physics of Fluids for Sustainability research group within the Fluids and Flows group. Education: Master in Applied Physics (Cum Laude), Eindhoven University of Technology PhD in Experimental Physics (Fluid Dynamics of Superfluid Helium at cryogenic temperatures) Research Interests: Experimental fluid dynamics, thin film flows, turbulence, magnetic fluid particle motion, and applications in sustainability. Recent work includes turbulence control in industrial flows, magnetic particle separation systems, and fluid dynamics in porous media. His research bridges fundamental physics with industrial applications, emphasizing energy efficiency and material science challenges. Recent Research Trends: Recent articles (2021-2023) highlight advancements in turbulence modulation using passive grids, magnetic separation techniques for granular materials, and computational modeling of multiphase fluid systems. These studies address challenges in energy systems, manufacturing processes, and sustainable engineering solutions. Advising & Grants: Supervised 46 research works (details not specified in text). Active collaborations in multi-institutional projects involving heat transfer, rheology, and combustion science. Funding sources include academic-industry partnerships. Labs/Teams: Leads the Physics of Fluids for Sustainability group, focusing on experimental setups for thin film dynamics, turbulence visualization, and cryogenic fluid studies. Collaborates with TNO, University of Twente, and industry partners on applied R&D projects.

Akke S.J. Suikerمشاهده پروفایل

استاد

• Applied Mechanics
• Computational Mechanics
• Material Science
• +۶ مورد دیگر

Akke S.J. Suiker is a Full Professor at Eindhoven University of Technology (TU/e), leading the Applied Mechanics group within the Department of the Built Environment. Previously, he held roles at Delft University of Technology, including Assistant Professor (2001–2008) and Associate Professor (2008–2011). He earned his MSc (Civil Engineering) and PhD (Applied Mechanics) from TU Delft, with postdocs at the University of Massachusetts and Cambridge University. His research focuses on multi-scale modeling of material failure, deformation, and multi-physics interactions in the built environment. Key areas include 3D printing, historical artifacts conservation, wind turbine design, and granular materials. He has authored over 140 publications and led projects such as High-Performance 3D Concrete Printing and NESCOP (sewer system degradation analysis). Awards include 'Best Lecturer' at TU Delft (2010) and multiple teaching excellence recognitions at TU/e. Research interests span computational mechanics, material science, and structural engineering. Notable contributions include chemo-mechanical degradation models for paintings and optimization frameworks for wind turbines. He has supervised 58 research works and is a guest editor for Philosophical Magazine. His work aligns with UN SDGs, addressing sustainable infrastructure and conservation.

Tess A.M. Homanمشاهده پروفایل

استادیار

• Fluid Dynamics
• Multiphase Flows
• Experimental Fluid Mechanics
• +۲ مورد دیگر

Tess A.M. Homan is an Assistant Professor in the Power & Flow group at Eindhoven University of Technology. Her experimental research focuses on fundamental fluid dynamics including multiphase flows, granular matter interactions, and biologically inspired systems. Recent work combines AI-enhanced bubble segmentation and microfluidic innovations. She holds a PhD in Physics (2013) from University of Twente and conducted postdoctoral research at ENS de Lyon (three-phase flows) and Université Claude Bernard Lyon 1 (biophysics). Teaches experimental methods and MATLAB courses.

Io Ioannidiمشاهده پروفایل

استاد مهمان

• Earth Sciences
• Geophysics
• Numerical Modeling
• +۳ مورد دیگر

Io Ioannidi is a Visiting Professor at the Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam. Her research focuses on numerical modeling in geophysics, environmental science, and atmospheric chemistry, with emphasis on Arctic aerosols, climate dynamics, and tectonic processes. She collaborates internationally on projects involving granular media deformation and plate interface metasediments. Research interests include: Geophysical numerical simulations (Discrete Element Methods, 3D modeling) Arctic atmospheric phenomena (black carbon, aerosols, haze) Tectonic processes and metasedimentary rock behavior Climate change impacts and global dimming/brightening patterns Recent studies explore wintertime Arctic air pollution patterns over Alaska, methane emission estimation via inverse models, and ancient slip events revealed through garnet fracturing analysis. Scientific contributions include 15+ peer-reviewed articles since 2020. No academic awards explicitly mentioned in available texts. No formal advisees listed. Collaborations include international teams working on granular media mechanics and Arctic atmospheric modeling.

Alessandra Palmigianoمشاهده پروفایل

استاد

• Logic
• Duality Theory
• Logics for Social Behaviour
• +۳ مورد دیگر

Alessandra Palmigiano is a Full Professor in Logic at the Department of Ethics, Governance and Society at Vrije Universiteit Amsterdam. She holds a PhD from the Universitat de Barcelona (2005) and has been affiliated with TU Delft and the University of Amsterdam. Her research focuses on duality theory, algebraic proof theory, and logics for social behavior. Key contributions include work on correspondence theory, multi-type calculi, and non-distributive logics. She has secured significant grants: NWO Vidi (€800k, 2013), Delft Technology Grant (€850k, 2013), and two NWO Aspasia grants (€200k in 2019 and 2012). Her research spans modal logic, lattice theory, and applications to AI, particularly in outlier detection and categorization using formal concept analysis. Recent publications (2023–2025) explore topics like polynomial-time checking of Sahlqvist formulas, correspondence theory in vector spaces, and algebraic proof systems for non-classical logics. Awards include the NWO Veni Grant (2007).

Talha Bin Masoodمشاهده پروفایل

استادیار

• Scientific Visualization
• Topological Data Analysis
• Computational Chemistry
• +۳ مورد دیگر

Talha Bin Masood is an Assistant Professor at Linköping University's Department of Science and Technology (ITN). His research focuses on Scientific Visualization and Topological Data Analysis, with applications in electronic structure analysis and dynamic systems. He is affiliated with the Scientific Visualization and Media and Information Technology groups at ITN, and contributes to the Wallenberg Autonomous Systems Program (WASP). Key research areas include visualizing time-varying bivariate fields, multi-field analysis using merge trees, and exploring electron density evolution. He has published extensively in journals like IEEE Transactions on Visualization and Computer Graphics, and conferences such as EuroVis and TopoInVis. His work combines theoretical advancements in topological methods with practical applications in computational chemistry and materials science. Collaborations span academia and industry, emphasizing interdisciplinary problem-solving.

• Artificial Intelligence
• Ontology Engineering
• Internet of Things (IoT)
• +۵ مورد دیگر

João Luiz Rebelo Moreira is an Assistant Professor at the University of Twente, specializing in Artificial Intelligence, Ontology Engineering, and IoT Interoperability. His research focuses on semantic technologies, explainable AI, FAIR data principles, and their applications in healthcare, smart industries, and enterprise systems. He contributes to UN Sustainable Development Goals related to health, smart industries, and sustainable consumption. His expertise includes ontology-driven systems, machine learning workflows, and data governance frameworks. Notable achievements include the FOIS 2018 best paper award for SAREF4health, an ontology for IoT-based healthcare systems. He collaborates internationally on projects like SEMIoTICS (semantic IoT interoperability) and OpenPREDICT (FAIR workflows in drug discovery). Research Interests: Ontology Engineering, Explainable AI, FAIR Data, IoT Standards, Enterprise Architecture Key Projects: OpenPREDICT, SEMIoTICS, Personal Health Trains Collaborations: Port of Valencia IoT EWS, VODAN Brazil Health Network Publications span over 40 works in conferences like EDOC, FOIS, and ER, focusing on semantic interoperability, machine learning explainability, and IoT standardization. He actively reviews for journals and organizes workshops on ontology-driven systems and FAIR data practices. His datasets include work on FAIR protocols (Zenodo) and healthcare data management studies. Current research trends emphasize integrating AI ethics, digital product passports, and data mesh architectures for decentralized systems.

Jens H. Kasperمشاهده پروفایل

پژوهشگر

• Wind Energy
• Granular Materials
• Fluid Dynamics
• +۲ مورد دیگر

Jens H. Kasper is a Researcher in the Physics of Fluids department at the University of Twente, specializing in wind energy systems and granular material dynamics. His current research investigates atmospheric interactions with wind farms and viscosity effects on particulate flows. He is expected to complete his PhD thesis titled 'Large-scale Interactions between Wind Farms and the Atmosphere' in 2025. Research interests focus on two primary domains: Wind Energy : Optimizing turbine configurations and modeling atmospheric boundary layer impacts on power generation Granular Materials : Analyzing flow transitions and viscosity effects in wet particulate systems using discrete element methods Publications demonstrate consistent focus on renewable energy optimization (2024) and granular flow mechanics (2019-2021), employing computational modeling and experimental analysis techniques. Collaborates with the Physics of Fluids research group, presenting work at international conferences including studies on wind farm wakes, turbine tilt effects, and atmospheric boundary layer simulations.

• Neuroscience
• Neuropsychiatry
• Cognitive Neuroscience
• +۴ مورد دیگر

Dr. Christian Bäuchl is a postdoctoral researcher at Technische Universität Dresden , affiliated with Project B3. His work focuses on understanding neural mechanisms underlying mental health, addiction, and cognitive development through advanced neuroimaging and computational modeling techniques. Key areas of research include cortical maturation, brain-behavior relationships in psychiatric disorders, and dopaminergic influences on spatial navigation. His research integrates EEG-fMRI, structural/functional MRI, and longitudinal cohort studies to investigate topics such as: Adolescent brain development and its links to mental health trajectories Neural correlates of addictive behaviors and substance use disorders Role of dopamine in executive function and spatial cognition Configural processing in fear conditioning and memory systems Recent studies highlight his exploration of: Biophysical modeling of cortical excitation-inhibition dynamics Granular network approaches for depressive symptom heterogeneity Genetic architecture of hypothalamic functions While no awards are explicitly listed, his publications demonstrate impactful contributions to understanding neurodevelopmental and neuropsychiatric mechanisms. His work bridges basic neuroscience with clinical applications in mental health and addiction medicine.