جست‌وجوی استاد و پژوهشگر

Saiied Aminossadatiمشاهده پروفایل

دانشیار

• Thermofluids
• Mine Ventilation
• Computational Fluid Dynamics
• +۴ مورد دیگر

Associate Professor Saiied Aminossadati is a faculty member at the University of Queensland's School of Mechanical and Mining Engineering, with affiliate positions at the Future Autonomous Systems and Technologies (FAST) and Centre for Multiscale Energy Systems. He holds a BEng (1989), MEng (1994), and PhD (1999) in Mechanical Engineering, along with a Graduate Certificate in Higher Education. His research focuses on thermofluids, mine ventilation systems, computational fluid dynamics applications in mining, fibre-optic sensing technologies, and gas management systems. Specific interests include porous media flow, underground mine ventilation optimization, energy systems modeling, and industrial fluid dynamics. With 180+ publications spanning mining ventilation, energy systems, and fluid mechanics, recent work demonstrates strong emphasis on computational modeling of industrial processes. Research trends show increasing focus on renewable energy applications (solar collectors, nanofluids), mining safety (methane dispersion, aerosol transmission), and sustainable resource recovery (plastic depolymerization, hydraulic fracturing). He has secured 16 research grants totaling $2.65M and serves as academic advisor for 26 research higher degree students (18 graduated, 8 current). Keynote speaker at international conferences including Mine Ventilation Symposium (2009) and Fibre Optic Sensing Conference (2015). Reviewer for 30+ international journals in mechanical and mining engineering disciplines.

• Machine Learning
• Perovskite Solar Cells
• Multiscale Modelling
• +۴ مورد دیگر

Ioannis Kouroudis is a Researcher at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology . He works under the Associate Professorship of Simulation of Nanosystems for Energy Conversion led by Prof. Alessio Gagliardi , focusing on computational methods for energy materials. Research Interests : Machine Learning, Perovskite Solar Cells, Multiscale Modelling, Materials Optimization, Optoelectronics, and Catalyst Modeling. Education : Holds an M.Sc. degree, though specific institutions are not detailed in the text. His recent publications highlight trends in applying Machine Learning and AI-driven optimization to problems in materials discovery and perovskite solar cell stability . Collaborative work spans computational modeling , experimental automation , and optoelectronic characterization . No scientific awards are explicitly mentioned. In teaching, he assists in courses like Computational Materials Design and Python for Engineering Data Analysis , and contributes to seminars on quantum engineering and machine learning. He participates in active research projects such as the DFG e-Conversion Cluster III and TUM Innovation Network ARTEMIS , focusing on energy conversion interfaces and machine learning integration.

• Solar Cells
• Electrocatalysis
• Materials Science
• +۵ مورد دیگر

Carmine Pellegrino is a Researcher at the Technical University of Munich , affiliated with the Simulation of Nanosystems for Energy Conversion group under Prof. Alessio Gagliardi within the School of Computation, Information and Technology . His work bridges computational nanosystems with energy conversion technologies. Research Interests: Defect analysis in semiconductor materials for solar cells Impact of radiation damage on photovoltaic performance Multiscale modeling of energy conversion systems Integration of machine learning for materials predictions Electrocatalysis and hybrid organic-inorganic devices Recent Publications focus on GaAs solar cells, including studies of defect spectroscopy, dark current behavior, and radiation-induced degradation mechanisms. His work spans experimental characterization and computational modeling of semiconductor physics. Collaborations include the DFG e-Conversion Cluster III, TUM Innovation Network ARTEMIS, and EU Lion-Hearted projects. He contributes to thesis supervision at TUM, guiding Master's and Bachelor's research practices.

Alexandre Santos Franciscoمشاهده پروفایل

استاد

• porous media
• computational mathematics
• computational fluid mechanics
• +۳ مورد دیگر

Alexandre Santos Francisco is Professor of Fluid Mechanics at Fluminense Federal University (Universidade Federal Fluminense) in Brazil, holding a PhD in Nuclear Engineering. He will soon serve as Visiting Professor at the ERC Advanced Grant project DyCon under Prof. Enrique Zuazua (FAU, University of Deusto, and Universidad Autónoma de Madrid), focusing on computational mathematics and porous media research. His academic credentials include: PhD in Nuclear Engineering (1994–2000), Federal University of Rio de Janeiro Master's Degree in Nuclear Engineering (1990–1993), Federal University of Rio de Janeiro Bachelor's Degree in Mechanical Engineering (1984–1990), Federal University of Rio de Janeiro Internship at Petrobras (1988) Francisco's research centers on porous media, computational mathematics, and computational fluid mechanics, with emphasis on numerical methods for heterogeneous media flows. His work bridges nuclear engineering safety, environmental contaminant transport, and industrial process optimization through advanced simulation techniques. Analysis of his 15 most recent publications reveals dominant trends in multiscale modeling for porous media, parallel computing implementations, and reliability assessment in nuclear systems. Key application areas include waste disposal simulation, steam generator integrity, and multiphase industrial processes, consistently integrating mathematical rigor with engineering challenges. No scientific awards are documented in the provided materials. While student advisement details are absent, his upcoming ERC Advanced Grant project DyCon involvement signifies active grant-funded research. The project will expand his work on mathematical control theory for complex systems under Prof. Zuazua's supervision. He collaborates internationally through the ERC DyCon project, leveraging expertise in numerical methods to address multiscale dynamics in porous media, with future work likely advancing computational techniques for energy and environmental applications.

• Damage Mechanics
• Fracture Mechanics
• Additive Manufacturing
• +۷ مورد دیگر

Zhiliang Zhang is a Professor of Mechanics and Materials at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU) . He is renowned for his contributions to fracture mechanics and material science, serving as Editor-in-Chief of Engineering Fracture Mechanics and recipient of the Griffith Medal from the European Structural Integrity Society (ESIS). His research focuses on damage mechanics, hydrogen embrittlement, and anti-icing materials, utilizing experimental and computational approaches. Education: BSc and MSc in Structural Engineering, Tongji University (1985, 1988) PhD in Mechanical Engineering, Lappeenranta University of Technology (1994) Research Interests span damage and fracture mechanics , additive manufacturing (AM) , hydrogen embrittlement , and anti-icing surface development . His work integrates multiscale computational modeling with nanomechanical experiments , addressing challenges in energy, structural integrity, and material design. Publication Trends highlight his expertise in hydrogen embrittlement , gas hydrate adhesion , anti-icing surfaces , and additive manufacturing . His articles in journals like Chemical Reviews and Advanced Materials emphasize predictive modeling , nanoscale characterization , and sustainable material solutions . Scientific Awards include Griffith Medal (2024, ECF24) ESIS Fellow (2014) Norwegian Academy of Technological Sciences membership Academic Service involves external doctoral examinations at institutions like Paris Tech and National University of Singapore, and faculty review roles at Imperial College and University of Michigan. He founded the NTNU Nanomechanical Lab in 2006 and has led 14 externally funded projects totaling over €12 million.

• Plant Development
• Computational Biology
• Systems Biology
• +۶ مورد دیگر

Dr. Monica Garcia Gomez is an Assistant Professor at the Faculty of Science , Utrecht University , affiliated with the Theoretical Biology group. Her research integrates computational modeling and experimental approaches to study plant development, focusing on root regeneration, stem cell dynamics, and responses to environmental stress. University: Utrecht University Department: Theoretical Biology Her work spans disciplines such as Systems Biology , Computational Biology , and Stem Cell Research , with a particular emphasis on Arabidopsis thaliana as a model organism. Recent publications highlight her contributions to understanding transcriptional stochasticity in stem cell differentiation, multiscale mechanisms in root regeneration, and the integration of mechanistic models with machine learning. Her research often employs gene regulatory network models , phytohormone interactions , and multiscale modeling to dissect developmental processes. She collaborates with groups like the Experimental and Computational Plant Development (IEB) and contributes to translational plant biology through the PlantXR program.

• Evolutionary Biology
• Bacterial Physiology
• Mechanisms of Gene Regulation and Transcription Networks
• +۷ مورد دیگر

Rutger Hermsen is an Assistant Professor in the Science Biology faculty at Utrecht University , leading the Hermsen lab under the Theoretical Biology and Bioinformatics group and the Institute for Biodynamics & Biocomplexity. His work focuses on mathematical and computational models of biological systems, particularly bacterial physiology and evolutionary biology. Email : r.hermsen@uu.nl Contact : Hugo R. Kruytgebouw, Padualaan 8, Kamer N602, 3584 CH Utrecht Research Interests span evolutionary theory, population dynamics, gene regulation, and bacterial physiology. He develops models to study eco-evolutionary interactions, such as antibiotic resistance development, and applies multiscale frameworks to analyze selection pressures in spatially structured populations. His work bridges theoretical biology with bioinformatics and computational methods. Publications highlight his expertise in analyzing spatial selection mechanisms (2024), cellular regulatory networks (2023), and evolutionary transitions (2022). These studies integrate mathematical models with experimental data to address fundamental biological questions. Supervision includes Bryan Verhoef, whose NWO-funded PhD project explores antibiotic resistance modeling, and Charlotte de Vries, a senior postdoc studying aging's role in evolutionary transitions. Collaborations extend to the Tans group at AMOLF for bacterial growth experiments. Laboratory combines computational approaches with interdisciplinary research, focusing on bacterial homeostasis, multilevel selection, and eco-evolutionary demography. The lab contributes to understanding cellular regulatory mechanisms and evolutionary processes through innovative theoretical frameworks.

Christophe Grovaمشاهده پروفایل

دانشیار

• Neuroimaging
• Epilepsy
• Sleep Research
• +۶ مورد دیگر

Christophe Grova is an Associate Professor at the Department of Neurology and Neurosurgery at McGill University , with adjunct status in the Department of Biomedical Engineering . He leads the Multimodal Functional Imaging Laboratory , focusing on integrating EEG, MEG, fMRI, and fNIRS to study brain mechanisms in epilepsy and sleep disorders. Expertise in multimodal neuroimaging techniques Develops advanced source localization algorithms Key applications in epilepsy diagnosis and sleep physiology His research bridges neuroimaging and clinical translation , with a focus on: EEG-fNIRS integration for whole-night sleep monitoring Validation of MEG and fMRI connectomes with intracranial EEG Computational modeling of neuron-astrocyte interactions Development of open-source tools like NIRSTORM The lab collaborates across institutions, including the McConnell Brain Imaging Centre and Concordia University . Current projects emphasize glymphatic system dynamics , epileptogenic zone localization , and neurovascular coupling mechanisms.

• Applied Mathematics
• Numerical Analysis
• Parallel Computing
• +۷ مورد دیگر

André Brodtkorb is a Professor and Head of the Department of Information Technology at Oslo Metropolitan University. His research spans applied mathematics, numerical analysis, and computational science, focusing on physics simulations and GPU computing. He advocates for open and reproducible research and is actively involved in education and societal engagement through the Academy of Young Researchers (2024-2028). Research Interests: His work integrates applied mathematics and computer science to develop high-performance simulations for environmental phenomena, including ocean currents, volcanic ash dispersion, and coastal flooding. He specializes in GPU-accelerated parallel computing, finite-volume methods, and Python-based scientific programming. Publication Trends: Recent articles highlight advancements in GPU computing efficiency, ocean modeling, and inverse ash transport modeling for volcanic plume forecasting. His research bridges computational methods with real-world environmental challenges. Scientific Awards: Member of the Academy of Young Researchers (2024-2028) Contact Information: Office: Pilestredet 35, 0166 Oslo Phone: +47 456 19 070 (Mobile), +47 672 35 924 (Office) Email: andre.brodtkorb@oslomet.no

• Geophysical Fluid Dynamics
• Environmental Fluid Dynamics
• Numerical Simulation of Atmospheric and Oceanic Flows
• +۴ مورد دیگر

Huei-Ping Huang is an Associate Professor at Arizona State University (ASU) in the Department of Aerospace and Mechanical Engineering within the School for Engineering of Matter, Transport and Energy. His research focuses on geophysical and environmental fluid dynamics, numerical simulations of atmospheric and oceanic flows, Earth system remote sensing, and climate change, aiming to improve regional-to-global climate and environmental predictions. Education: Ph.D., University of Illinois at Urbana-Champaign, 1997 M.S., National Taiwan University, 1989 B.S., National Central University, Taiwan, 1987 Huang’s research integrates computational modeling and fluid dynamics to study large-scale environmental systems. He leverages remote sensing data and numerical simulations to address climate change impacts, urbanization effects on desert environments, and drought predictability. His work spans interdisciplinary collaborations in sustainability and Earth system science. Research grants include NSF funding for multiscale urban atmosphere modeling (2009–2014), NASA support for desert urbanization studies (2012–2016), DOE projects on climate regime transitions (2010–2013), and collaborations with Columbia University on drought dynamics (2008–2013). He also contributed to visualization tools for spatio-temporal fluid dynamics (NSF 2009–2010). Teaching experience includes graduate courses in partial differential equations (MAE 502), computational fluid dynamics (MAE 460/560), and geophysical fluid dynamics (MAE 578). He mentors thesis and dissertation work (MAE 599/799) and teaches honors projects (MAE 493). Additional affiliations include the ASU Water Institute and the Global Futures Scientists and Scholars program, where he serves as a Senior Global Futures Scientist.

• Fluid Dynamics
• Computational Modeling
• Materials Science
• +۳ مورد دیگر

Nuno Ricardo Teixeira da Costa is affiliated with the Technical University of Munich (TUM) , specifically within the Department of Multiscale Modeling of Fluid Materials under the chair of Prof. Zavadlav. His research focuses on multiscale computational modeling of fluid materials. Contact: nuno.costa@tum.de

• Plant Biology
• Photosynthesis
• Crop Modeling
• +۵ مورد دیگر

Megan Matthews is an Assistant Professor in the School of Integrative Biology at the University of Illinois Urbana-Champaign, where she conducts research at the intersection of plant biology and computational modeling to address agricultural challenges under climate change. Her research focuses on enhancing photosynthetic efficiency, engineering plant-microbe symbioses, and optimizing crop growth through multiscale modeling approaches. Key interests include thermal tolerance in photosynthesis, metabolic modeling of nitrogen fixation, lignin biosynthesis for bioenergy, and predictive decision support systems for sustainable agriculture. She employs genome-scale modeling, CRISPR editing, and multi-omics integration to develop climate-resilient crops. Analysis of her recent publications reveals a strong emphasis on systems-level perspectives for improving crop yields, with significant contributions to photosynthetic engineering, symbiotic relationships in legumes, and biomass optimization on marginal lands. Her work consistently bridges computational biology and practical agricultural applications to enhance food security and sustainability.

Tue Herlauمشاهده پروفایل

دانشیار

• Bayesian Methods
• Complex Networks
• Brain Imaging Data Analysis
• +۳ مورد دیگر

Tue Herlau is an Associate Professor at the Department of Applied Mathematics and Computer Science, Cognitive Systems, within the College of Engineering at Technical University of Denmark. His research focuses on modeling complex networks using Bayesian methods, particularly applied to brain imaging data. He explores multiscale structures in networks (ranging from individual nodes to large-scale temporal dynamics) and causal inference in social and biological systems. Education : Bachelor in Physics and Mathematics (University of Copenhagen), Masters in Informatics (DTU) Recent publications highlight work on generative AI for educational psychology, causal probability trees, Bayesian neural network training, and moral reinforcement learning. Key collaborations span institutions in Denmark and international partners in AI and neuroscience research. He supervises students in probabilistic methods and machine learning applications, including a 2019-2020 Master project on prognostics for carbon/epoxy composites. His network shows strong engagement with computational science, relational databases, and formal concept analysis.

Victor Barocasمشاهده پروفایل

استاد

• Biomechanics
• Tissue Mechanics
• Multiscale Modeling
• +۵ مورد دیگر

Victor Barocas is a Professor in the Department of Biomedical Engineering at the University of Minnesota, where he leads research at the intersection of tissue architecture and mechanics using multiscale computational models and mechanical experiments. His work focuses on ascending thoracic aortic aneurysm remodeling (NIH U01 HL139471), spinal load effects on facet capsular ligaments (NIH U01 AT010326), tumor cell motility, fibrotic lung disease, and vibrotactile perception. These projects share a unifying theme of cross-scale mechanical and mechanobiological interactions, grounded in the principle that understanding any biological scale requires analysis of its smaller constituent scales. Dr. Barocas directs the Barocas Research Group and serves as principal investigator on multiple federal grants. He advises graduate students in biomedical engineering, with current research emphasizing how macroscopic forces drive cellular responses that ultimately alter tissue function and pathology.

Sreten Mastilovicمشاهده پروفایل

استاد پژوهشی

• Mechanics of Materials
• Damage and Fracture Mechanics
• Micromechanics
• +۸ مورد دیگر

Sreten Mastilovic is a Research Professor at the Department of Materials Science, Institute for Multidisciplinary Research, University of Belgrade. He holds a PhD in Technical Sciences from Arizona State University (1997) and has spent over 25 years in academic and research institutions. Education: PhD (1997), MSc (1994), and BSc (1989) from University of Belgrade and Arizona State University His research focuses on Mechanics of Materials , particularly damage and fracture mechanics, micromechanics, constitutive modeling, and dynamic material behavior. He also works on Finite Element Analysis for structural and penetration mechanics, and Wind/Solar Energy Analysis for renewable energy projects. His recent publications highlight size effects in fracture mechanics, scaling behaviors in fragmentation, and computational modeling of material failure. He has led projects like SEEWIND (European Commission FP6) and SYNENERGY (Hellenic Aid), and contributed to national grants including OI 174010 (2011–2019) and TR 14067 (2008–2011).