جست‌وجوی استاد و پژوهشگر

• Fluid Dynamics
• Turbulence
• Wall-Bounded Flows
• +۳ مورد دیگر

Masoud Asadi is a Ph.D. candidate at the Norwegian University of Science and Technology (NTNU), supervised by Professor R. Jason Hearst and funded by the Research Council of Norway (FRINATEK). He holds a Master of Science from Sharif University of Technology, Iran, and a Bachelor of Science in Mechanical Engineering from the same institution. His research focuses on experimental fluid dynamics and turbulence, particularly the impact of freestream turbulence on wall-bounded flows. Education: Ph.D. (2019-2024), Energy and Process Engineering - Thermo Fluids, NTNU Master of Science (2016-2019), Mechanical Engineering - Energy Conversion, Sharif University of Technology Bachelor of Science (2012-2016), Mechanical Engineering, Sharif University of Technology Teaching Roles: Spring 2021: Co-lecturer for TEP4112 - Turbulent Flows Fall 2021: Teaching Assistant for TEP4110 - Fluid Mechanics Spring 2022: Lecturer for TEP4112 - Turbulent Flows Fall 2022: Teaching Assistant for TEP4110 - Fluid Mechanics Spring 2023: Teaching Assistant for TEP4112 - Turbulent Flows Research Interests: Experimental fluid dynamics, turbulence, wall-bounded flows, boundary layer dynamics, freestream turbulence interaction, and active flow control using techniques like particle image velocimetry (PIV) and laser-induced fluorescence (LIF). His work explores how freestream turbulence modifies boundary layer structures and employs active grids to control flow characteristics. Outreach & Grants: Presented research at the 18th European Turbulence Conference (2023). Funded by FRINATEK for his doctoral research.

• Computer Vision
• Machine Learning
• Statistics
• +۳ مورد دیگر

Marcus A. Brubaker is an Associate Professor at York University's Department of Electrical Engineering and Computer Science within the Lassonde School of Engineering. He also holds an Adjunct Professor status at the University of Toronto's Department of Computer Science and serves as a Research Scientist at Google DeepMind. His primary affiliations include co-directorship of the Computational Vision and Imaging Lab (CVIL) at York University and membership in the Vector Institute as a Faculty Affiliate. Brubaker's research spans Computer Vision, Machine Learning, Statistics, and their applications to problems like cryo-electron microscopy (cryo-EM) and 3D molecular reconstruction. Education: He earned a Ph.D. in Computer Science from the University of Toronto (2011), with a thesis on physical models of human motion. His M.Sc. (2006) and B.Sc. (2004) in Computer Science were also from the University of Toronto. Research focuses include cryo-EM structure determination (notably the cryoSPARC software), normalizing flows, and probabilistic modeling. His work bridges computational imaging, statistical inference, and deep learning. Key contributions include advancements in cryo-EM algorithms, generative models, and camera noise analysis. He co-founded Structura Biotechnology and has contributed to open-source tools like Stan's math library. Publications emphasize novel view synthesis, neural radiance fields, sensor noise modeling, and cryo-EM reconstruction techniques. His research trends highlight integration of physics-based models with machine learning for solving complex imaging problems. Awards and recognition include impactful contributions to cryo-EM through cryoSPARC, a Nature Methods paper in 2017, and leadership in academic-industrial collaborations. Brubaker's labs and teams focus on advancing imaging technologies and their applications in structural biology and computer vision.

Behrouz Aghajanlooمشاهده پروفایل

پژوهشگر

• Microfluidics
• Biomedical Engineering
• Microchannel Fabrication
• +۳ مورد دیگر

Behrouz Aghajanloo is an Academic Casual at the School of Engineering, Macquarie University, with a Doctor of Philosophy from the Faculty of Science and Engineering. His research focuses on microfluidics, particularly in microchannel design, fabrication methods, and applications in biomedical engineering. He explores topics like capillary wicking, cell separation, and inertial fluid dynamics. Recent work includes developing pumpless microfluidic systems and analyzing cellular biomechanics for diagnostic purposes. Education: Ph.D. in Engineering (Faculty of Science and Engineering, Macquarie University). Research Interests: Microfluidic device fabrication and optimization Biomedical microfluidic applications Capillarity-driven systems Cellular biomechanics Passive fluidic control mechanisms Collaborations and Networks: Active in global research networks, collaborating with institutions on microfluidic technologies for healthcare and diagnostics. His work bridges engineering and biomedical sciences, emphasizing practical solutions for lab-on-a-chip systems. Grants and Funding: Details not explicitly stated, but his research aligns with emerging trends in microfluidics and biomedical engineering funding areas.

Lin Tianمشاهده پروفایل

مدرس ارشد

• Multi-scale modeling
• Aerosol transport
• Fluid dynamics
• +۶ مورد دیگر

Dr. Lin Tian is a Senior Lecturer in the School of Engineering at RMIT University, Melbourne, Australia. She holds expertise in multi-scale modeling of fluid dynamics and micro/nano particles, with a focus on aerosol transport, inhalation toxicity, and drug delivery in respiratory systems. Her research integrates computational methods like Lattice Boltzmann simulations to solve multiphase flow problems. Current projects include developing risk assessment platforms for inhaled carbon nanotubes and hydrodynamic modeling for underwater vehicle systems. Her academic journey includes roles as a Research Fellow at RMIT (2015–2018) and Assistant Professor at SUNY Canton, USA (2008–2014). She leads funded projects such as the DECRA-supported multi-scale risk assessment platform and DSTG-funded underwater vehicle hydrodynamics research. Teaching interests span advanced thermo-fluids, mechanics of solids, and computational fluid dynamics. Research highlights include nasal airflow modeling, fiber transport dynamics, and HVAC system optimization for pathogen control. Awards include the DECRA grant (2018), and her work addresses critical areas like occupational exposure, drug delivery efficacy, and sustainable building systems. Dr. Tian is open to supervising Masters and PhD students in computational fluid dynamics and multiphase flow applications.

Kristine Spildoمشاهده پروفایل

استاد

• Chemical Engineering
• Petroleum Engineering
• Interfacial Chemistry
• +۴ مورد دیگر

Kristine Spildo is a Professor at the Department of Chemistry, University of Bergen. Her research focuses on interfacial chemistry, enhanced oil recovery (EOR), and polymer applications in reservoir engineering. She has contributed to studies on low salinity processes, surfactant flooding, and hydrophobically modified polymers for EOR. Her work combines experimental and theoretical approaches to understand multiphase flow in porous media. Education: PhD (1999), University of Bergen, titled 'Wettability and two-phase flow in capillary systems.' Master’s and Bachelor’s details not explicitly stated in text. Teaching includes Chemical Thermodynamics (KJEM210) and Surface and Colloid Science (KJEM214). She has advised doctoral students Alette Løbø Viken and Annette Meland Johannessen. Key research themes include polymer rheology, surfactant mechanisms, and reservoir fluid interactions. Her publications span over 25 years, emphasizing practical applications in petroleum engineering and materials science. Labs/Teams: Active in the Department of Chemistry and collaborations with NORCE Norwegian Research Center. Research interests include advancing EOR technologies through interdisciplinary approaches.

Wenqing Huمشاهده پروفایل

دانشیار

• Probability
• Data Sciences/Machine Learning/Optimization
• Operations Research
• +۲ مورد دیگر

Roles & Affiliations: Wenqing Hu is an Associate Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (formerly University of Missouri, Rolla). He holds memberships in professional societies including The Bachelier Finance Society, INFORMS, SIAM, and the Society of Actuaries. Education: Ph.D. in Mathematics, University of Maryland at College Park (2013) B.S. in Mathematics, Peking University (2008) Research Interests: His work spans Probability (stochastic analysis, multiscale problems), Machine Learning (optimization algorithms, neural networks), Operations Research (smart grid systems), Math Biology (Ao's potential function), and Cryptology (zero-knowledge proofs in blockchain). Recent breakthroughs include contributions to zero-knowledge virtual machines and high-dimensional data analysis . Publications Overview: His 15 most recent works (2025-2012) span topics like cryptology (e.g., zkEVM), stochastic differential equations, and reinforcement learning applications in manufacturing. Key themes include stochastic processes, nonlinear optimization, and interdisciplinary applications in energy systems and biology. Awards & Grants: Miner Alumni Teaching Award (2018) Simons Foundation Collaboration Grant (2020-2025) NSF-funded travel support for the 2018 ICM Labs & Collaborations: Active in cross-disciplinary projects such as subspace indexing on Grassmann manifolds and nonlinear optimization in ML .

Spyridon Pergantisمشاهده پروفایل

استاد

• Analytical Chemistry
• Environmental Chemistry
• Mass Spectrometry
• +۵ مورد دیگر

Professor Spyridon Pergantis is a distinguished faculty member in the Department of Chemistry at the University of Crete, where he has served since 2003, advancing from Assistant Professor to Associate Professor in 2008, and ultimately achieving Full Professor status in 2014. His academic journey began with a BSc in Chemistry from the University of Ioannina in 1988, followed by a PhD from the University of British Columbia in 1994. Prior to his current position, he held research positions at the U.S. Environmental Protection Agency, Utrecht University, and Birkbeck College, University of London. Professor Pergantis specializes in advanced analytical chemistry techniques, with research focusing on metal speciation analysis (particularly arsenic, selenium, and antimony), novel metal species identification, metal-biomolecule interactions, nanoparticle determination using single particle ICP-MS, and advances in sonic-spray ionization mass spectrometry. His work integrates various separation techniques including HPLC, nanoHPLC, ion mobility spectrometry, and affinity chromatography coupled with multiple mass spectrometry methods. His laboratory at the University of Crete (Room A228) maintains an active research program addressing critical environmental and biological analytical challenges. His publication record demonstrates consistent research productivity with significant contributions to environmental analytical chemistry, particularly in nanoparticle analysis and metal speciation. Recent work shows expansion into cardiovascular health research through selenium biomarker studies and innovative approaches to undergraduate chemistry education. Professor Pergantis leads a research group focused on developing cutting-edge analytical methodologies with applications spanning environmental monitoring, food safety, and biomedical research.

• Climate Science
• Nonlinear Dynamics
• Statistical Mechanics
• +۳ مورد دیگر

Jeroen Wouters is a researcher in climate science and nonlinear dynamics, affiliated with the University of Reading. His work focuses on extreme event analysis, rare event simulation, and the application of large deviation theory to climate systems. He collaborates extensively with institutions like the University of Reading and the University of Paris-Saclay on projects involving stochastic parameterization, model reduction, and climate variability. His research interests span climate modeling, atmospheric dynamics, and mathematical physics, with a particular emphasis on understanding and predicting extreme weather phenomena such as heat waves and cold spells. Wouters has developed innovative computational methods for simulating rare climate events using advanced algorithms like large deviation theory and genealogical particle analysis. Key contributions include advancing methodologies for analyzing multi-scale systems, improving parameterization techniques in climate models, and exploring the statistical mechanics of chaotic systems. His interdisciplinary approach bridges applied mathematics, geophysical fluid dynamics, and climate science, addressing both theoretical and computational challenges in environmental modeling.

• High Energy Theoretical Physics
• Cosmology
• Quantum Field Theory
• +۷ مورد دیگر

Elias Kyritsis is a Professor at the Department of Physics, University of Crete, since 1999. He completed his undergraduate studies at the University of Athens (1984) and earned his PhD in Conformal Field Theories from the California Institute of Technology (1988). He has held prestigious positions including research associate at UC Berkeley (1988-91), Ecole Normale Superieure (1991-92), and a member of the CERN Theory Division (1992-1998). Research Focus: High Energy Theoretical Physics, Cosmology, String Theory, Quantum Field Theory Major Grant: 2016 ERC Advanced Grant for 'Gravity, Holography and the Standard Model' His research spans non-perturbative field theory, M-theory, D-branes, supersymmetry, black holes, and string cosmology. Recent work (2023-2025) explores holographic QFTs on curved manifolds, quantum stability of spacetimes, and connections between string theory and quantum gravity. He has contributed to understanding anomalous couplings, holographic RG flows, and the dynamics of strongly coupled systems. Notable collaborations include studies on holographic neutrino transport, V-QCD baryon spectrum, and applications of dynamical systems in holography. His work often bridges high-energy physics with cosmological phenomena, examining topics like self-tuning cosmological constants and emergent dark matter candidates. Scientific Awards: ERC Advanced Grant (2016) Email: kiritsis@physics.uoc.gr

Kyle E. Niemeyerمشاهده پروفایل

دانشیار

• Combustion Modeling
• Computational Fluid Dynamics
• Chemical Kinetics
• +۵ مورد دیگر

Kyle E. Niemeyer is an Associate Professor at Oregon State University's School of Mechanical, Industrial, and Manufacturing Engineering. He leads the Niemeyer Research Group focused on computational modeling of combustion, reactive flows, and environmental systems. He also serves as Associate Head for Undergraduate Programs and Associate Editor-in-Chief of the Journal of Open Source Software (JOSS). Ph.D. in Mechanical Engineering, Case Western Reserve University (2013) M.S. and B.S. in Aerospace Engineering, Case Western Reserve University (2010, 2009) His research spans combustion modeling, GPU acceleration for chemical kinetics, ocean biogeochemical simulations, and open science practices. Key contributions include: Developing open-source tools like pyMARS and MC/DC Advancing GPU-based chemical kinetics integration algorithms Modeling smoldering combustion in biomass fuels Applying combustion-derived model reduction to ocean systems Recent publications focus on exascale Monte Carlo neutron transport, wildfire fuel modeling, and Cantera software optimization. Awards include AAAS Science & Technology Policy Fellowship and Welty Faculty Fellowship. AAAS Science & Technology Policy Fellow (2022–2023) Welty Faculty Fellow (2021–2024) Better Scientific Software Fellow (2019) His group actively engages in open-source software development and computational methods research for energy, aerospace, and environmental applications.

Chris John Priceمشاهده پروفایل

استاد

• Crystallization
• Pharmaceutical Science
• Particle Science
• +۴ مورد دیگر

Professor Chris John Price is a distinguished academic in the Department of Chemical and Process Engineering at the University of Strathclyde. He holds the Chair in Industrial Crystallisation and leads research focused on crystallization processes, pharmaceutical particle design, and sustainable manufacturing. His work integrates fundamental research with industrial applications, emphasizing process optimization and purification techniques. Education: PhD (1990): University of Manchester, Crystallization of 7-hydroxynaphthaline-1,3-disulphonic acid disodium salt MSc (1985): University of Manchester, Hydroxynaphthaline sulphonic acids BSc (1982): University of York Research Interests: Controlled crystallization for drug delivery Filtration and drying process optimization Process analytical technologies Sustainable pharmaceutical manufacturing Recent Projects: Includes EPSRC-funded initiatives on solvent design for sustainable processes and AstraZeneca collaboration on API recovery. His work addresses UN SDGs related to responsible consumption and industrial innovation.

Vasileios Angelidakisمشاهده پروفایل

استاد

• Discrete Element Modeling
• Granular Materials
• Particle Dynamics
• +۳ مورد دیگر

Prof. Vasileios Angelidakis is a Professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), specializing in Discrete Element Method (DEM) modeling, granular materials, and particle dynamics. His research focuses on numerical simulations of particulate systems, including particle shape characterization, DEM framework comparisons, and applications in additive manufacturing, railway ballast, and material science. He has collaborated internationally, contributing to open-source DEM software like MercuryDPM and Yade, and has published extensively on topics such as clump dynamics, thermal-particle interactions, and global benchmark studies on granular behavior. He has also worked on seismic engineering, analyzing structural responses to earthquake-induced ground motion. Education: PhD in Engineering (Newcastle University, 2022), MSc in Structural Engineering (National Technical University of Athens, 2016), Diploma in Civil Engineering (National Technical University of Athens, 2014). Research Interests: DEM modeling, particle shape effects, granular flow, computational mechanics, additive manufacturing processes, and seismic structural analysis. Publications highlight his work on open-source frameworks, particle morphology analysis, and validation studies across disciplines. His contributions include algorithms for rotational motion integration and tools like CLUMP and SHAPE for particle representation.

Frauke Liersمشاهده پروفایل

استاد

• Optimization under Uncertainty
• Distributionally Robust Optimization
• Quantum Computing
• +۵ مورد دیگر

Prof. Dr. Frauke Liers holds the Professorship of Optimization under Uncertainty & Data Analysis at the Department of Data Science (DDS), Friedrich-Alexander-University Erlangen-Nürnberg. Her research focuses on robust and distributionally robust optimization, mathematical programming, and applications in energy systems, healthcare logistics, and quantum computing. Email: frauke.liers@fau.de ResearchGate: Frauke Liers Research Interests span optimization under uncertainty, data-driven mathematical programming, and interdisciplinary applications. Key areas include: Distributionally robust optimization with scenario reduction and chance constraints Quantum computing optimization for gate routing and noise suppression Energy system modeling (photovoltaics, gas networks, electricity networks) Healthcare logistics (patient transport scheduling under uncertainty) Nanoparticle technology and chemical process optimization Recent Publications emphasize: Advancements in quantum circuit optimization (2025) Explainable optimization methods (2024) Robust approaches for particle precipitation control (2024) Dynamic trajectory optimization (2023) Time-expanded models for network flows (2022)

• Soil Physics
• Hydrology
• Groundwater Recharge
• +۳ مورد دیگر

Gerhard Kammerer is an Assistant Professor at the Institute of Soil Physics and Rural Water Management , part of the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU) . His research focuses on soil physics and hydrology, particularly in agricultural contexts. BOKU organizational units: Institute of Soil Physics and Rural Water Management, Institute of Soil Research, Experimental Farm Groß-Enzersdorf Research Interests include soil hydraulic properties, vadose zone dynamics, groundwater recharge, irrigation systems, root-soil interactions, and sustainable land use. His work addresses both theoretical and applied aspects of soil-water management. Article Trends show expertise in Soil hydraulic property modeling Groundwater vulnerability assessment Agricultural water balance studies Root-induced hydrological changes Lysimeter data analysis Stony soil hydrology Scientific Awards : Hochschuljubiläumsstiftung der Stadt Wien (2007) Advising & Grants : Supervised numerous theses on soil-water systems and participated in 25+ projects funded by Austrian Science Fund (FWF), Austrian Research Promotion Agency (FFG), and federal ministries. Notable projects include "Vadose zone characterization for groundwater vulnerability" and "Hydraulic effects of root-soil interactions". Labs & Teams : Works with BOKU's hydrology and soil physics teams, contributing to lysimeter networks and soil-vegetation-atmosphere research. Collaborates with international institutions in Slovenia, Italy, and the U.S.

Valeria Bracciniمشاهده پروفایل

عضو هیئت علمی

• Superconducting materials
• Iron-based superconductors
• MgB2 (Magnesium Diboride)
• +۱۲ مورد دیگر

Valeria Braccini is a Senior Researcher at the Institute for Superconductors, Oxides and Other Innovative Materials and Devices (SPIN) under the Italian National Research Council (CNR) . She earned her PhD in Physics (2003) and Laurea in Physics (1999) from the University of Genova , focusing on superconducting materials. Education: PhD in Physics (2003), University of Genova Laurea in Physics (1999), University of Genova Her research interests center on superconducting materials for high-field applications, particularly MgB 2 , Fe(Se,Te) , and REBCO coated conductors . She specializes in thin film deposition via Pulsed Laser Ablation , flux pinning mechanisms , and transport property characterization in high magnetic fields. The 15 most recent articles highlight her work on Fe(Se,Te) thin films for low-cost coated conductors, proton irradiation effects on critical currents, buffer layer engineering , and vortex dynamics in layered superconductors. Her publications span journals like IEEE Transactions on Applied Superconductivity , Superconductor Science and Technology , and Scientific Reports . Braccini holds leadership roles in national and international projects , including PI for the PRIN 2022TZ8R7C project on grain boundary investigation in high-Tc wires and coordination of CNR-SPIN units in collaborations with Eni SpA and CERN's FCC study. She serves on editorial boards, program committees, and has organized key conferences like the Applied Superconductivity Conference (ASC) and European Conference on Applied Superconductivity (EUCAS). She contributes to higher education as a contract instructor for the 'Superconductivity' course (Master in Physics, University of Genova) and teaches 'Applied Superconductivity' in the PhD School in Physics. She has supervised multiple PhD and master's theses in Physics and Material Science and acted as an external examiner for a PhD in Engineering Sciences at the University of Southampton.