جست‌وجوی استاد و پژوهشگر

Khimji Ravji Vaghjianiمشاهده پروفایل

استاد

• Technology Innovation
• ICT Commercialization
• Startup Mentoring
• +۳ مورد دیگر

Professor Khimji Vaghjiani is a technology commercialization expert at Torrens University Australia's Centre for AI Research and Optimisation (AIRO). With 30+ years in ICT/R&D innovation, he has led corporate venture capital units (Westpac), managed NSW Data Analytics Centre projects, and designed solar products deployed in 18 countries. As former Head of Harbour City Labs, he mentored deep-tech startups through lean canvas development and MVP creation. His research examines innovation adoption patterns across banking, renewable energy, and manufacturing sectors, with specific focus on institutional drivers in developing economies. Publications apply institutional theory to technology transfer mechanisms. Professional achievements include technology due diligence for 280+ funded ventures and business advisory roles for government innovation programs. He maintains industry collaborations across banking, telecommunications, and renewable energy sectors while directing technology transfer initiatives between universities and SMEs.

Maarten C.J. Hornikxمشاهده پروفایل

استاد

• Computational Acoustics
• Building Acoustics
• Sound Propagation Modeling
• +۳ مورد دیگر

Maarten C.J. Hornikx is a Full Professor of Building Acoustics at Eindhoven University of Technology (TU/e), serving as Vice-Dean of the Department of the Built Environment. He leads the Building Acoustics Chair within the Unit Building Physics and Services (BPS), specializing in computational modeling of sound propagation in built environments. His research focuses on applications such as sound reproduction in mixed reality platforms and numerical models for vegetation and meteorological effects on sound. He actively promotes open research software, coordinating projects like the H2020-ITN Acoutect and serving as a Marie Curie grant recipient. Education: MSc in Architecture, Building and Planning (Chalmers University of Technology, 2004) PhD in Applied Acoustics (Chalmers University of Technology, 2009) Research Interests: Computational acoustics and numerical modeling Sound propagation in outdoor and indoor environments Acoustic effects of vegetation and meteorology Open-source software development for acoustics Mixed reality sound reproduction Recent Trends in Publications: Recent work emphasizes open-source tools for acoustic simulation, neural network applications in sound prediction, and optimization of acoustic materials. Key themes include improving accuracy in room acoustic modeling and understanding environmental influences on sound propagation. Awards: Forum Acusticum Prize (2011) Grants & Projects: Marie Curie IF Grant (2009-2011) Marie Curie Career Integration Grant (2012) H2020-ITN Acoutect Project (coordinator) Burgermeetnetwerk Groene Hart Project (2022-2024) Labs & Teams: Leads the Building Acoustics research group at TU/e and collaborates with the 4TU.Built Environment Center. Active in organizing international workshops and courses on acoustics, including the Autumn School Series in Acoustics and EAA Summer School.

• Collective Intelligence
• Decision Making
• Organizational Behavior
• +۵ مورد دیگر

Joshua Becker is an Associate Professor at the UCL School of Management (University College London), specializing in collective intelligence, decision-making processes, and social networks. He holds a PhD in Communication from the University of Pennsylvania and completed a postdoctoral fellowship at the Kellogg School of Management. His research explores optimizing group decision-making through structured communication and network design, with publications in top journals like Science and Management Science. Becker teaches courses on negotiation, decision-making, and technology-driven collective intelligence. He has been recognized as one of the 'Best 40 Under 40' business school professors by Poets & Quants (2023). His work bridges academic research and practical applications, including pro-bono workshops for charities on conflict resolution, negotiation principles, and group facilitation techniques. His research agenda focuses on designing communication processes that enhance collective intelligence with minimal intervention. Notable contributions include studies on information-sharing networks in healthcare, structured debate protocols, and the dynamics of partisan bias in social learning. He co-developed Empirica, a virtual lab enabling high-throughput macro-level social experiments. Becker's interdisciplinary approach combines elements of computer science, behavioral economics, and organizational theory. His ongoing projects investigate large language model impacts on group cognition and network structures that optimize collective problem-solving.

Stein Stureمشاهده پروفایل

استاد

• Geomechanics
• Geotechnical Engineering
• Structural Mechanics
• +۳ مورد دیگر

Stein Sture is the Vice Chancellor for Research Emeritus and Huber and Helen Croft Professor Emeritus at the University of Colorado Boulder's College of Engineering and Applied Science. He has been a faculty member since 1980 and held leadership roles including Interim Provost and Dean of the Graduate School. His expertise spans geomechanics, computational geotechnics, and granular materials mechanics. Education: Studied in Oslo, Norway, and earned degrees in engineering mechanics and a PhD from the University of Colorado (1976). Research Interests: Focuses on geomechanics, geotechnical engineering, computational modeling, and granular materials under low-stress conditions. His work includes microgravity experiments and soil-structure interactions. Awards: Walter Huber Research Prize (1990) Richard Torrens Awards (2000) CU-Boulder College of Engineering Research Award (1992) Max Peters Service Award (2002) He has authored over 270 publications and advised 34 PhD and 45 MS students. His service includes leadership roles in ASCE and editorial boards.

Valery Vishnevskiyمشاهده پروفایل

مدرس

• Biomedical Imaging
• Magnetic Resonance Imaging (MRI)
• Ultrasound Imaging
• +۳ مورد دیگر

Dr. Valery Vishnevskiy is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich , affiliated with the Biomedical Imaging Group . His research focuses on advanced medical imaging techniques, particularly in cardiac MRI , ultrasound , and machine learning applications . He contributes to projects involving 4D flow MRI reconstruction , speed-of-sound imaging , and motion-corrected diffusion tensor analysis . Primary Affiliation : ETH Zürich, Department of Information Technology and Electrical Engineering Research Interests : Biomedical Imaging, MRI Reconstruction, Ultrasound Physics, Cardiac Imaging, Deep Learning His recent work emphasizes self-supervised learning for medical imaging, including the development of FlowMRI-Net for accelerated 4D flow MRI and Speed-of-Sound Imaging using diverging waves. Publications span hyperpolarized 13C metabolic imaging , viscoelasticity reconstruction , and probabilistic sampling optimization . Dr. Vishnevskiy's contributions to deformable image registration include methods for handling sliding interfaces in abdominal and cardiac imaging, with applications in respiratory motion compensation and tissue ablation monitoring . He also explores mathematical models for enzyme activity analysis and behavioral pattern detection.

• Mathematical Analysis
• Numerical Analysis
• Semiconductor Physics
• +۳ مورد دیگر

Nella Rotundo is an Associate Professor (Ricercatrice di tipo B) in Mathematical Analysis (MAT/07) at the University of Florence, Department of Mathematics. Her research focuses on mathematical modeling of semiconductors, partial differential equations, and numerical methods. She has held postdoctoral positions at the Weierstrass Institute (Berlin), McGill University (Montreal), and the University of Calabria. She is a Principal Investigator in the MATH+ Incubator project IN-B3 addressing doping variations in silicon crystals. Her academic background includes a PhD in Mathematics applied to Engineering (University of Catania), and a Master's in Mathematics (University of Calabria). She has contributed to over 9 peer-reviewed publications since 2010, with recent work emphasizing numerical methods for semiconductor simulation and inverse problems in materials science. Rotundo has presented research at conferences including the Young Applied Mathematicians Conference (Rome 2024) and AMaSiS (Berlin). Her technical contributions span finite element methods, optimal control theory, and computational approaches to semiconductor characterization.

Jorge Grasaمشاهده پروفایل

دانشیار

• Computational Mechanics
• Finite Element Methods
• Computational Biomechanics
• +۶ مورد دیگر

Jorge Grasa is an Associate Professor at the Department of Mechanical Engineering, University of Zaragoza. His research focuses on computational mechanics with applications in biomechanics, food engineering, and material fatigue analysis. He holds a Ph.D. (2007) and M.Sc. (2001) in Mechanical Engineering from the University of Zaragoza. Research Interests: His work spans computational modeling of biological tissues (tendons, muscles, ocular lenses), finite element methods for soft tissue mechanics, food cooking simulation, and digital twin technologies for industrial processes. He has pioneered studies on tendon scaffold fabrication, non-contact tonometry for intraocular pressure assessment, and muscle fatigue mechanisms linked to calcium signaling. Awards: Received the Quercus Hernández Best Thesis Award from SEMNI. His research bridges engineering and medicine, with applications in presbyopia mechanisms, tendon repair strategies, and food quality optimization. Key Contributions: Developed validated models for abdominal wall hernia repair, steak cooking dynamics, and 3D muscle contraction simulations. His work integrates multi-scale approaches and machine learning (e.g., POD-NN for corneal property estimation).

• Sustainable ICT
• Human-Computer Interaction (HCI)
• Augmented Reality
• +۳ مورد دیگر

Dimitra Chasanidou is a Research Fellow at the Department of Computer Technology and Informatics at NTNU, affiliated with the Center for Sustainable ICT (CESICT). Her work focuses on sustainable design methodologies, human-computer interaction, and innovation platforms. She holds a multidisciplinary background combining computer science with service design and user-centric approaches. Research Interests: Design for sustainability in ICT systems Augmented and virtual reality applications Open innovation platforms and collaborative ecosystems Playful learning methodologies using LEGO® Serious Play Social and environmental impact assessment frameworks Publications Trends: Over 20 peer-reviewed articles since 2011, with recent focus on sustainability analysis in AI systems (2024), mobile AR sustainability (2023), and LEGO-based professional development (2024). Her work integrates technical innovation with social/environmental considerations through frameworks like the Sustainable Awareness Framework (SUSAF). Labs/Teams: Active member of CESICT, leading sustainability design projects. Collaborates with institutions like SINTEF and international partners in academia/industry.

• Probability
• Stochastic Processes
• Stochastic Dynamical Systems
• +۷ مورد دیگر

Moongyu Park is a Visiting Assistant Professor of Mathematics at Purdue University's Department of Mathematics, part of the College of Science. His research focuses on stochastic processes, fractional differential equations, mathematical biology, and numerical computation. Specific interests include anomalous diffusion, renormalization groups, and applications in porous media modeling. His work spans theoretical developments in fractional calculus and numerical methods, such as finite element approaches for two-sided fractional equations and neural network methods for integral fractional Laplace equations. He also explores interdisciplinary topics like network worm attack propagation models and material science applications in carbon-nanotube electrodes. Key areas of contribution include upscaling techniques for heterogeneous media, stability analysis of numerical methods, and stochastic modeling of complex systems. His research bridges pure mathematics with practical applications in fluid dynamics, cybersecurity, and materials engineering.

Scott E Fraserمشاهده پروفایل

استاد

• Biomedical Engineering
• Cell Biology
• Developmental Biology
• +۳ مورد دیگر

Scott E. Fraser is a Provost Professor of Biological Sciences & Biomedical Engineering at the University of Southern California, holding joint appointments in the Dornsife College of Letters, Arts and Sciences, Keck School of Medicine, and Viterbi School of Engineering. He is also Director of Science Initiatives for USC and leads multiple imaging centers, including the Translational Imaging Center and MRI Center. Fraser's research focuses on imaging technologies and quantitative biology, with emphasis on embryonic development, organogenesis, and medical diagnostics. He has pioneered advancements in light-sheet microscopy, optical coherence tomography, and fluorescent imaging techniques. His work integrates engineering, physics, and biology to address complex biological systems. Fraser earned his BS in Physics from Harvey Mudd College (1976) and PhD in Biophysics from Johns Hopkins University (1979). Before USC, he served as Chair of Physiology and Biophysics at UC Irvine and Anna L. Rosen Professor at Caltech. He founded the Caltech Brain Imaging Center and contributed to the Kavli Institute of Nanoscience. His interdisciplinary approach has led to innovations in imaging tools and systems biology. Research interests include imaging embryonic zebrafish, craniofacial development, and real-time metabolic tracking. Key projects involve developing hyperspectral imaging, label-free biomarkers, and multiplexed biosensors. Fraser has authored over 600 publications, including breakthrough studies on synapse dynamics, insulin secretion, and neural basis of quantity perception in zebrafish. Awarded the Edwin G. Conklin Medal (2021) for developmental biology, Fraser has led initiatives such as the Chan Zuckerberg Initiative’s science grant programs. His labs and centers provide cutting-edge facilities for USC researchers, fostering collaborations across medicine, engineering, and basic sciences.

• Precision Agriculture
• Remote Sensing
• Soil Fertility Management
• +۷ مورد دیگر

Abdul Munnaf is an Assistant Professor in Agricultural Biosystems Engineering at Wageningen University & Research, affiliated with the Plant Research International (PE&RC) institute. His work focuses on integrating advanced sensor technologies, machine learning, and geospatial analysis to improve precision agriculture practices. Key research areas include proximal sensors, soil fertility management, and crop growth modeling. He has developed novel sensing systems for real-time soil property measurement and mapping, with applications in nitrogen fertilization optimization and site-specific seeding strategies. Munnaf’s projects emphasize sustainability, such as improving bio-based fertilizer efficacy and reducing environmental impacts through data-driven approaches. His research outputs (29 articles) span topics like visible-near-infrared spectroscopy for soil analysis, robotic systems for agricultural automation, and machine learning models to predict soil organic carbon. He co-supervises PhD candidates in sensor technology and biofertilizer characterization. Collaboration networks include Belgium and China, reflecting his global research impact. Munnaf’s work bridges engineering and agronomy, addressing challenges in soil variability, crop productivity, and digital agriculture. Ongoing projects include developing biodegradable sensing technologies and evaluating spectral fusion techniques for soil attribute estimation.

• Clean energy catalysis
• Electrolysis
• Chemical Engineering
• +۷ مورد دیگر

A/Pr Lei Ge is an Associate Professor in the School of Engineering at the University of Southern Queensland, affiliated with the Centre for Future Materials. He holds a PhD in Chemical Engineering from Queensland University and specializes in clean energy catalysis, electrolysis, and porous materials for unconventional energy applications. His research focuses on advancing materials for CO2 reduction, solid oxide fuel cells, and gas-diffusion electrodes, with an emphasis on energy efficiency and sustainability. Research expertise includes catalytic materials for energy conversion (e.g., perovskite oxides, MXenes), gas separation technologies using metal-organic frameworks (MOFs), and electrochemical processes for CO2 utilization. He has pioneered studies on microtubular electrodes and hollow fiber configurations to enhance reaction kinetics and selectivity in electrochemical systems. Recent publications highlight innovations in catalyst design for ammonia-based fuel cells, defect-minimized MOF membranes, and CO2 electrolysis mechanisms. His work bridges fundamental material science with practical applications in renewable energy and environmental engineering. No scientific awards are explicitly listed, but his extensive publication record reflects impactful contributions to electrochemical engineering and sustainable materials. Supervision and grant details are pending further data. Labs/Teams: Active member of the Centre for Future Materials, collaborating on advanced material synthesis and energy systems.

• Mathematical Modeling
• Electromagnetism
• Asymptotic Analysis
• +۳ مورد دیگر

Dr. Victor Péron is a Lecturer at the University of Pau and the Pays de l'Adour, affiliated with the Laboratory of Mathematics and their Applications. His research focuses on mathematical modeling of electromagnetic phenomena, asymptotic analysis, and numerical methods including finite element approaches. Péron's work develops computational frameworks for multiscale electromagnetic problems, with applications in engineering and materials science. He has led European projects including MATHROCKS and GEAGAM, collaborating with institutions across Europe and North America. He has supervised multiple PhD students researching magnetic diffusion phenomena and asymptotic modeling. His publications address electromagnetic analysis in complex materials and innovative computational approaches to boundary value problems.

Francis Aznaranمشاهده پروفایل

پژوهشگر ارشد

• Finite Element Methods
• Computational Mathematics
• Fluid Dynamics
• +۶ مورد دیگر

Francis Aznaran is a Society of Science Research Fellow in Applied and Computational Mathematics at the University of Notre Dame. He holds a DPhil (PhD) in Numerical Analysis from the University of Oxford (2018–2022), an MASt in Applied Mathematics from the University of Cambridge (2017–2018), and a BSc in Mathematics from the University of Warwick (2014–2017). His research focuses on finite element methods for elasticity, fluids, and thermodynamics, with emphasis on discretization techniques, Piola transformations, and fluid-structure interaction problems. Key research interests include: Elasticity complexes and stress-strain discretization Multicomponent fluid flow simulations Finite element software development (e.g., Firedrake) Awards: 1st Prize in Postdoc Lightning Talk Competition (2024) EPSRC/MathWorks Scholarship (2018–2022) He teaches ACMS/MATH 40390 Numerical Analysis at Notre Dame and has organized international conferences such as the 2025 Biennial Numerical Analysis Conference. His work bridges theoretical numerical analysis with practical software implementation.

Ziyao Xuمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Finite Element Methods
• Finite Difference Methods
• +۳ مورد دیگر

Ziyao Xu is a Robert and Sara Lumpkins Postdoctoral Research Associate in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. In Fall 2025, he will join Binghamton University as a tenure-track Assistant Professor in the Department of Mathematics and Statistics. His research focuses on computational methods for fluid flow in porous media, including finite element and finite difference methods, discontinuous Galerkin (DG) techniques, and fracture modeling. He holds a Ph.D. in Applied Mathematics from Brown University (2023), an M.S. in Mathematical Sciences from Michigan Technological University (2019), and a B.E. in Petroleum Engineering from China University of Petroleum (2016). Xu's work emphasizes high-order numerical methods for solving complex fluid dynamics problems, with applications in geosciences and reservoir simulation. His publications explore topics such as well-balanced DG schemes, exponential time differencing methods, and hybrid-dimensional fracture modeling. He has presented at conferences including SIAM Annual Meetings, NAHOMCon, and SPE Reservoir Simulation Conferences. Teaching experience includes courses on probability, nonlinear dynamical systems, and applied linear algebra at the University of Notre Dame and Brown University. His current research aims to develop efficient and accurate numerical tools for simulating multiphase flow in fractured porous media.