جست‌وجوی استاد و پژوهشگر

Mauro Boeroمشاهده پروفایل

پژوهشگر

• Atomic-scale modeling
• Computational Materials Science
• Quantum Mechanics/Molecular Mechanics (QM/MM)
• +۳ مورد دیگر

Mauro Boero is a Research Director (DR1) at CNRS and Visiting Full Professor at Nagoya University's Institute for Materials and Systems for Sustainability (IMaSS). He leads the MATISEN Team (Materials for Information Technology, Sensors, and Energy Conversion) at the ICube laboratory (UMR 7357) in Strasbourg. His career includes post-doctoral positions at EPFL, IBM Zurich, and the Max Planck Institute for Solid State Research, followed by tenured roles in Japan (University of Tsukuba, JAMSTEC) and CNRS directorships. Research Focus: Specializes in atomic-scale modeling using ab initio simulations and hybrid QM/MM methods. Develops the open-source software CPMD for computational chemistry. Key areas include catalytic reactions, energy conversion materials, and biomolecular systems. His work bridges computational materials science with applications in sensors, renewable energy, and environmental remediation. Publications Trends: Recent work emphasizes defect analysis in semiconductor interfaces (AlGaN/AlN), carbon nanotube interactions with metal clusters, and electrolyte dynamics for energy storage. Also explores prebiotic homochirality mechanisms and environmental heavy metal removal via molecular dynamics. Affiliations: Scientific Director of Strasbourg's Mesocenter for High Performance Computing. Collaborates internationally through IMaSS and the Earth Simulator Center.

• Computational Physics
• Materials Science
• Quantum Monte Carlo Methods
• +۳ مورد دیگر

Ilkka Kylänpää is a University Instructor and Adjunct Professor in Physics at Tampere University, affiliated with the Faculty of Engineering and Natural Sciences. His research focuses on computational materials physics, particularly predictive simulations and method development. He has extensive experience in quantum Monte Carlo methods, electronic structure calculations, and studies on materials like vanadium dioxide and quantum dots. Kylänpää holds a PhD in Physics from Tampere University of Technology (2011) and has held postdoctoral positions at institutions including Oak Ridge National Laboratory and the University of Illinois at Urbana-Champaign. He teaches courses such as Computational Physics 1 and 2, and has contributed to the development of the QMCPACK software package. His work bridges theoretical and computational approaches to understand complex materials and quantum systems. Research interests include quantum simulations, electronic correlations, and the metal-insulator transition in materials. Key contributions involve analyzing vanadium dioxide's electronic properties and developing computational tools for molecular and solid-state systems. His articles span topics from quantum dot dynamics to the effects of oxygen vacancies in heterostructures. Advising and grants are not explicitly detailed in the provided information, but his career trajectory reflects sustained academic and research engagement in computational physics.

• Biochar
• Materials Science
• Environmental Science
• +۳ مورد دیگر

Sampo Kulju is a Doctoral Researcher affiliated with the Faculty of Engineering and Natural Sciences. His research focuses on advanced materials characterization, fluid dynamics, and environmental applications of biochar. He holds a Master of Science degree awarded in 2009. Key research areas include: Biochar porosity analysis and agricultural applications Multiscale simulation frameworks (e.g., SimPhoNy) Fluid dynamics visualization using high-speed video 3D imaging techniques for material microstructure analysis His recent work demonstrates expertise in interdisciplinary research combining environmental science, materials engineering, and computational methods. Over 120 citations across peer-reviewed articles highlight contributions to understanding biochar's role in soil improvement and advanced simulation methodologies. No specific scientific awards or grants are explicitly mentioned in the provided materials.

Ryan Glasbyمشاهده پروفایل

استاد مدعو

• Computational Engineering
• Computational Fluid Dynamics (CFD)
• Hypersonic Flows
• +۳ مورد دیگر

Ryan Glasby is a Joint Faculty member at the University of Tennessee and Oak Ridge National Laboratory (ORNL), specializing in computational engineering and high-fidelity fluid dynamics simulations. His research focuses on multiphysics modeling, hypersonic flows, shock wave interactions, and advanced numerical methods for CFD. He leads development efforts for solvers like VERTEX-CFD and Spinnaker , which are designed for high-performance computing platforms. His work spans experimental validation through techniques like acetone molecular tagging velocimetry and computational innovations in finite-element methods. Glasby collaborates closely with U.S. Department of Defense initiatives, contributing to projects such as HPCMP CREATE-AV Kestrel. Key areas include turbulence modeling, thermal nonequilibrium processes, and optimization of firearm suppression systems through fluid dynamics principles. Notable contributions include advancements in artificial compressibility methods for heat transfer simulations and strategic improvements to parallel processing algorithms for large-scale simulations. His research bridges fundamental fluid dynamics with practical applications in aerospace engineering and defense technologies.

Florea Adrianمشاهده پروفایل

دانشیار

• Environmental Engineering
• Geology
• Mining Technology
• +۴ مورد دیگر

Associate Professor Florea Adrian is affiliated with the Faculty of Mining at the University of Petroșani, specifically within the Department of Environmental Engineering and Geology, where he serves as Deputy Department Manager. His research focuses on environmental and geotechnical challenges in mining regions, including air quality management, subsidence phenomena, and tailings/waste dump stability. He has contributed to interdisciplinary projects addressing pollution control, geomechanical modeling, and sustainable post-mining land use. His work integrates advanced methods such as computer-aided design for mine planning and geospatial data analysis. Key research interests include decarbonization strategies for traditional coal mining areas and the environmental impact of industrial activities like waste burning. Publications highlight innovative solutions for mine closure management and legal frameworks for energy resource quality. Notable projects include studies on CO2 storage risks, ophiolitic rock utilization in construction, and phytoremediation of contaminated sites. Florea Adrian’s research addresses both technical challenges and policy implications, emphasizing practical applications for ecological reconstruction and community resilience in mining-dependent regions.

• Water Resources Management
• Groundwater Flow and Pollutant Transport
• Geoenvironmental Engineering
• +۳ مورد دیگر

Georgios P. Karatzas is a Professor at the Department of Environmental Hydraulics, Coastal Engineering and Geoenvironmental Engineering (IV) within the Technical University of Crete. His research focuses on Water Resources Management , Groundwater Flow and Pollutant Transport , and Geoenvironmental Engineering . He leads the Laboratory of Geoenvironmental Engineering and has developed innovative methodologies like the 'Outer Approximation Method' Optimization adopted by major US agencies. His academic credentials include a Ph.D. (1992), M.Sc. (1987), and B.Sc. (1985) from Rutgers University, with prior education in Forestry from Aristotle University of Thessaloniki (1982). He has received international recognition, including adoption of his optimization methods by the Federal Remediation Technologies Roundtable (2003-present) and EPA (1999). His research integrates Groundwater Simulation Models with Optimization Methods for sustainable aquifer management, addressing challenges like Coastal Aquifer Salinization , Karst Aquifer Dynamics , and Flood Risk Assessment . Recent projects include InTheMED (€220,000) and Sustain–COAST (€290,000) focused on Mediterranean groundwater sustainability. Notable scientific awards include the 2014 Outstanding Teaching Award at Technical University of Crete and multiple grants from PRIMA, Interreg, and LIFE+ programs. His work combines advanced computational methods with practical environmental risk mitigation strategies.

Jennifer Weibleمشاهده پروفایل

استاد

• Educational Technology
• Science Education
• Technology-Supported Learning
• +۵ مورد دیگر

Dr. Jennifer Weible is a Professor in the Department of Teacher and Special Education at The Pennsylvania State University's College of Education, where she serves as Director of Graduate Ed Tech programs. She teaches in Master's, Doctoral, and undergraduate elementary/STEM education programs. Education: Ph.D. in Learning, Design, and Technology (Penn State, 2014) Certifications: Pennsylvania Instructor 2 License (Chemistry & Physics), ISTE Certified Educator, Google Level 1 & 2 Educator Her research focuses on science curiosity and technology-supported learning , with emphasis on makerspaces, computational thinking, and emerging technologies. Publications highlight applications of AI in education, game-based learning tools, and smart city technologies. Scientific awards: AT&T Fellowship, Ralph T. Heimer Award Dr. Weible has taught courses ranging from Qualitative Research in Educational Technology to Mobile Learning , and has over two decades of prior experience as a high school chemistry and physics teacher.

• Bioinformatics
• Computational Biology
• Marine Ecology
• +۳ مورد دیگر

Martin Zurowietz is a researcher at the Genome Informatics Group , Institute for Bioinformatics Infrastructure (BIBI) , and Center for Biotechnology (CeBiTec) at Bielefeld University . His work focuses on bioinformatics infrastructure, marine data analysis, and deep learning applications for environmental monitoring. Research Interests : Bioinformatics, computational biology, machine learning, marine ecology, and data science. Technical Contributions : Development of platforms like BIIGLE and MAIA for large-scale image annotation, FAIR data principles in marine imaging, and automated diatom taxonomy. Key Collaborations : Projects involving polymetallic nodule fields, Vazella pourtalesii assemblages, and environmental impact assessments using deep learning. Recent Publications highlight his expertise in: Deep learning for biodiversity analysis Marine imaging systems and workshops Digital microscopy methods Data management for marine ecosystems Interactive visualization tools for scientific data

• Data-driven web technologies
• Information visualization
• Interaction design
• +۴ مورد دیگر

Dr Alan Cannon is a Research Fellow at Edinburgh Napier University's School of Computing , affiliated with the Centre for Algorithms, Visualisation and Evolving Systems . His work spans data-driven web technologies, information visualization, interaction design, and software evaluation. Education: PhD: Interactive Visualisation Tools for Supporting Taxonomists Working Practice (2006) Alan specializes in creating visualization systems for biological and taxonomic data through projects like MaTSE and TaxVis . His recent work focuses on mobile platforms for safety engineering inspections and data-driven web services for academic and commercial applications. His publications demonstrate expertise in bioinformatics visualization, ontology-driven systems, and mobile application development across multiple domains including taxonomy, property management, and safety engineering. Research Grants: Data Driven Analysis of PEMFT Benefits (2022, £5,000) Solicitor Data Management for TC Young (2018, £5,000) Managing Archaeological Projects (2017, £5,000) Follow-on development for Plansafe Ltd. (2015-2016, £35,837) TrueBuild App Development (2014-2015, £5,000) Scottish Forestry Project (2016-2017, £28,492) Alan has extensive experience in academic-industry collaboration, commercialization activities, and developing visualization tools for complex data sets across biological sciences, engineering, and database systems.

• Science Education
• Computational Programming in Education
• Meaningful Learning
• +۸ مورد دیگر

João Robert Nogueira is an Assistant Professor at the Faculty of Engineering of Universidade Lusófona de Humanidades e Tecnologias (ULHT), where he has been teaching Physics, Mathematics, and Programming since 1997. He is the coordinator of the Physics scientific area at ULHT and a member of the ReLeCo: Learning & Innovation research group. He has also taught at the University of Beira Interior and in primary and secondary schools. Education: PhD in Education, Institute of Education, ULHT Master's in Environmental Engineering, Instituto Superior Técnico Graduation in Physics, Faculty of Sciences, University of Lisbon His research focuses on science education, particularly the integration of computational programming to promote meaningful and interdisciplinary learning in Physics, Chemistry, and Mathematics. He advocates for problem-based learning (PBL) and inquiry-based approaches to enhance conceptual integration and student engagement. His work bridges STEM disciplines with pedagogical innovation, emphasizing sustainability and inclusivity in education. His recent publications show a clear trend toward educational innovation, especially in teacher training, interdisciplinary STEM learning, and the use of digital tools. Earlier works were centered on oceanographic and biological modeling, reflecting his background in environmental engineering and marine sciences. Scientific Awards: No specific awards mentioned in the text. João Robert is actively involved in advising and collaborative research, particularly through participation in international projects. He has contributed to teacher training and curriculum development. He is currently involved in three ERASMUS+ KA2 projects: "Integrated STEM Education with an Interactive Digital Library for Curious Kids" "Climate Change and STEM Education in Classrooms" "STEAMing up the sustainability with Sustainable Development Goals" These projects emphasize sustainable development, digital innovation, and inclusive education. He also led research in ocean modeling at MARETEC-IST between 2003 and 2013. Labs and Research Groups: ReLeCo: Learning & Innovation (current) MARETEC - Environment and Energy section, Mechanical Engineering Department, Instituto Superior Técnico (2003–2013)

Carmine D'Agostinoمشاهده پروفایل

مدرس ارشد

• Catalysis
• Porous Materials
• Nuclear Magnetic Resonance (NMR) Spectroscopy
• +۵ مورد دیگر

Dr Carmine D'Agostino is a Senior Lecturer in Chemical Engineering at the University of Manchester, specializing in analytical methods like NMR spectroscopy to study catalytic systems and porous materials. His research focuses on improving industrial processes through advanced characterization techniques, with applications in sustainable chemistry and renewable energy. Education: BEng (2004) and MEng (2006) from Università di Napoli Federico II, Italy; PhD (2012) in Chemical Engineering from the University of Cambridge under Prof. Lynn Gladden. Previously a research scientist at the University of Cambridge's Department of Chemical Engineering and Biotechnology. Research interests include catalysis, porous materials, ionic liquids, and multi-component diffusion. He has received awards such as the Young Scientist Award at the International Congress on Catalysis and a Wolfson College Junior Research Fellowship. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable production. Active in projects like SPACING (sustainable acrylic acid production) and low-field NMR studies in rock pore structures. Supervises PhD students and collaborates internationally, contributing to journals like Advanced Materials and Physical Chemistry Chemical Physics .

• Condensed Matter Physics
• Materials Engineering
• Physical Chemistry
• +۷ مورد دیگر

Professor Nicholas Harrison is the Chair of Computational Materials Science and Director of Development at the Department of Chemistry, Imperial College London (Faculty of Natural Sciences). His work focuses on developing quantum mechanical computational methods for condensed matter systems, with applications in advanced materials discovery. Key research areas include spintronics materials, multiscale bone fracture modeling, and corrosion mechanisms. He leads the Computational Materials Science Group and is affiliated with multiple institutes including the Institute for Molecular Science and Engineering and the Thomas Young Centre. Education details are not explicitly listed but his long-term academic career suggests advanced degrees in chemistry or materials science. His research integrates computational simulations with experimental insights, addressing challenges in energy storage, catalysis, and structural materials. Over 30 years of expertise in ab initio methods has led to contributions in software development (e.g., CRYSTALpytools) and fundamental material property investigations. Recent publications emphasize energy-related materials (e.g., photocathodes, photoanodes), corrosion science (Mg surface behavior), and quantum phenomena in molecular systems. His work bridges theoretical and applied domains, aiming to accelerate materials innovation for sustainability and technology. Notable collaborations include the Thomas Young Centre for materials theory and partnerships with engineering teams at Imperial. Research infrastructure includes advanced computational facilities and experimental partnerships in materials characterization.

• Protein Structure and Evolution
• Computational Biology
• Bioinformatics
• +۳ مورد دیگر

Sergey Ovchinnikov is an Assistant Professor of Biology at MIT, affiliated with the Koch Institute. His research integrates phylogenetic inference, protein structure prediction, deep learning, and energy-based models to study protein evolution across environmental, organismal, genomic, structural, and molecular scales. He aims to develop unified models of protein evolution and design novel biomolecules using AI-driven methods. Education : PhD, 2017, University of Washington BS, 2010, Micro/Molecular Biology, Portland State University Research Interests : Protein design and engineering Deep learning applications in structural biology Evolutionary dynamics of protein structures Computational methods for predicting protein stability and interactions Key Awards : DP5 Early Independence Award (2018) Moore-Simons Project on the Origin of the Eukaryotic Cell (2020) His lab has pioneered tools like ColabFold and actifpTM, advancing accessibility to protein folding and stability analysis. Recent work focuses on cyclic peptides, macrocycle design, and leveraging metagenomic data to uncover novel protein functions.

Frank Noéمشاهده پروفایل

دانشیار

• Machine Learning
• Computational Biology
• Molecular Dynamics
• +۳ مورد دیگر

Frank Noé is a W2 Professor (Associate Professor equivalent) of Mathematical Modeling in the Life Sciences at the Free University of Berlin, with promotion to W3 pending. He concurrently serves as an Adjunct Professor in the Department of Chemistry at Rice University. His research develops computational frameworks for molecular kinetics, integrating machine learning with biophysical simulation to decode complex biomolecular processes. Academic qualifications: Dr. rer. nat. in Informatics and Biophysics, Universität Heidelberg (2006, summa cum laude) Master of Science in Computing, Cork Institute of Technology, Ireland (2000-2002) Diplom Ingenieur (BA) in Electrical Engineering, Berufsakademie Stuttgart (1996-1999) Noé pioneers the application of deep learning to molecular simulation, notably through Boltzmann generators and VAMPnets. His work bridges statistical mechanics, biophysics, and data science to model protein dynamics, ligand binding, and cellular signal transmission at unprecedented timescales. This interdisciplinary approach has established new paradigms for analyzing molecular kinetics. Recent publications demonstrate a decisive shift toward AI-driven methodologies, where neural networks extract kinetic features from molecular trajectories. This enables atomistic exploration of processes previously inaccessible to simulation, such as millisecond-scale protein folding and membrane receptor dynamics. Major honors: Simons Fellow at IPAM (2019) ACS Early-Career Award in Theoretical Chemistry (2019) ERC Consolidator Grant (2017) ERC Starting Grant (2012) Eliteprogramm für Postdoktoranden fellowship (2007) Research leadership: Principal Investigator, DFG Collaborative Research Center 958 "Scaffolding of Membranes" (2011-present) Principal Investigator, DFG Collaborative Research Center 740 "From Molecules to Modules" (2009-present) Faculty member, International Max-Planck Graduate School for Computational Biology Organizer, International Workshop on Molecular Kinetics He directs theoretical research within the SFB/TRR 186 consortium on molecular switches, developing open-source software for kinetic analysis while mentoring the next generation of computational biophysicists through DFG-funded graduate programs.

Quentin Changeatمشاهده پروفایل

استادیار

• Exoplanets
• Atmospheric Modeling
• Telescope Observations
• +۳ مورد دیگر

Quentin Changeat is an Assistant Professor at the Kapteyn Astronomical Institute, University of Groningen, and an Honorary Research Fellow in the Department of Physics and Astronomy at University College London. His research bridges exoplanet atmospheric studies and computational astrophysics, with affiliations spanning multiple international institutions. Research Interests: Dr. Changeat focuses on the physics and chemistry of exoplanet atmospheres, leveraging data from the James Webb Space Telescope (JWST), Hubble Space Telescope (HST), and Spitzer. His work emphasizes atmospheric retrieval techniques, machine learning applications, and the development of open-source tools like TauREx for spectral analysis. He is actively involved in the ESA Ariel mission, which aims to survey 1000 exoplanets by 2029. Publication Trends: His 15 most recent articles (2019–2024) reveal a strong emphasis on JWST/HST data analysis, atmospheric retrievals of hot Jupiters, and population-level studies. Key themes include thermal inversions, phase-curve degeneracies, and the development of statistical frameworks for large-scale exoplanet characterization. Machine learning and interdisciplinary collaborations feature prominently in his methodology. Awards: Honorary Research Fellow, University College London Academic Contributions: He leads educational initiatives like the ARES Summer School and ORBYTS program, mentors PhD students in exoplanet research, and develops datasets for community use (e.g., Ariel Data Challenge). His lab focuses on atmospheric retrieval algorithms and collaborates with teams at UCL, Flatiron Institute, and ESA.