جست‌وجوی استاد و پژوهشگر

• AI in Manufacturing
• Chemical Engineering Modelling
• Data-Driven Process Design
• +۳ مورد دیگر

Dr. Javier Cardona Amengual is a Chancellor’s Fellow - Senior Lecturer in Chemical and Process Engineering at the University of Strathclyde’s Faculty of Engineering. His research focuses on revolutionizing chemical process design through AI-powered multi-sensor systems and multi-scale predictive modeling, addressing challenges in Industry 5.0 and digital manufacturing. He leads a multi-disciplinary team integrating physics-based and data-driven models to enhance process understanding and decision-making in chemical and pharmaceutical manufacturing. Key collaborations include the EPSRC MediForge Hub and CEDAR Centre for Doctoral Training, advancing resilient medicines manufacturing and cyber-physical systems. His work emphasizes sustainable engineering solutions, leveraging partnerships with global industries and academic institutions to drive real-world impact. Current projects include developing open-access crystal image databases (OpenCrystalData) and AI-driven parameter estimation for industrial processes. Research interests span AI applications in manufacturing, multi-scale modeling, pharmaceutical process optimization, and data-driven approaches for in-line monitoring. His publications highlight advancements in particle characterization, neural networks, and Industry 5.0 integration. He actively contributes to conferences and workshops, promoting knowledge exchange in digital manufacturing and sustainable engineering practices.

Marcella Bonaمشاهده پروفایل

دانشیار

• Flavour Physics
• Dark Matter Search
• Machine Learning
• +۲ مورد دیگر

Dr. Marcella Bona is a Reader in Particle Physics at Queen Mary University of London (QMUL), affiliated with the School of Physical and Chemical Sciences. She leads research in Flavour Physics, Dark Matter searches, and Machine Learning applications, contributing to the ATLAS and Belle II collaborations. She co-founded the UTfit phenomenological group and the SAPIENS pollution modeling project. As an Associate Professor, she holds roles including Director of the Artificial Intelligence and Machine Learning in Science MSc Programme and Deputy Leader of the QMUL ATLAS Level 1 Calorimeter Trigger team. Education: PhD in Particle Physics, Postgraduate Certificate in Academic Practice. Fellowships include the Royal Society Leverhulme Trust Senior Research Fellowship (2021–2023). Research Interests: Focus on indirect and direct searches for physics beyond the Standard Model (e.g., Dark Matter, matter-antimatter asymmetry). Her work integrates global flavour fits via UTfit and pollution modeling using Machine Learning. She analyzes ATLAS data on rare B meson decays and explores semi-visible jet signatures for Dark Matter. Awards & Grants: MInstP (Institute of Physics), FHEA (Higher Education Academy). Active in grants including the Royal Society fellowship and collaborations with institutions like the Alan Turing Institute. Advising & Teams: Supervises current PhD students on pollution modeling (Mexico City), Dark Matter, and ATLAS analyses. Alumni include postdocs and industry professionals. Leads the SAPIENS project and UTfit collaboration.

• Particle Astrophysics
• High-Energy Neutrino Astronomy
• Radio Detection Techniques
• +۲ مورد دیگر

Brian Clark is an Assistant Professor at the University of Maryland, specializing in particle astrophysics with a focus on high-energy neutrino astronomy. His research involves the IceCube Neutrino Observatory, the Askaryan Radio Array (ARA), and the Radio Neutrino Observatory in Greenland (RNO-G). He holds affiliations with the Joint Space-Science Institute and collaborates on projects like IceCube Diffuse Neutrino Group and ARA analysis coordination. Education: PhD from The Ohio State University (2019), NSF Graduate Research Fellow. Postdoctoral work at Michigan State University as an NSF Astronomy and Astrophysics Fellow. His experimental work spans data analysis, simulation, and detector development for neutrino detection techniques. Research emphasizes radio detection of ultra-high-energy neutrinos (>10 PeV), cosmic ray studies, and next-generation observatory design. Key projects include IceCube-Gen2 and RNO-G, focusing on improving sensitivity to astrophysical neutrinos and understanding cosmic accelerators. Recent work includes analyzing seasonal variations in atmospheric neutrino flux, optimizing RNO-G trigger algorithms, and exploring sterile neutrino parameters with IceCube data. His contributions advance radio and optical neutrino detection technologies in polar environments. Labs/Teams: Co-convener of IceCube Diffuse Neutrino Group, analysis co-coordinator for ARA. Involved in interdisciplinary efforts like the IceTop Enhancement and firn ice characterization for RNO-G.

• Clean Energy Technology
• Net-zero Industrial Processes
• Hydrogen Production
• +۷ مورد دیگر

Professor Gus Nathan is a distinguished Professor in the Department of Mechanical Engineering at the School of Electrical and Mechanical Engineering, University of Adelaide, within the Faculty of Sciences, Engineering and Technology. He is a Fellow of the Academy of Technological Sciences and Engineering and of the Combustion Institute, and an ARC Discovery Outstanding Researcher Awardee. Nathan is the founding director of the Centre for Energy Technology and Research Director of the $215 million Heavy Industry, Low-carbon Transition Cooperative Research Centre. Professor Nathan's research focuses on clean energy technologies, particularly net-zero heavy industrial processes with hydrogen as a key enabler. His expertise spans high temperature processes and reactors involving combustion, concentrated solar thermal, and electrification, together with their hybrids. He has published approximately 300 journal articles, 200 conference papers, holds 17 patents, and has delivered over 80 invited presentations on clean energy technology. His recent publications demonstrate a strong focus on solar thermal technologies for industrial applications, hydrogen production, mineral carbonation, and advanced particle flow systems for concentrated solar power. The research shows a clear trajectory toward developing practical solutions for decarbonizing heavy industry through innovative thermal processes and renewable energy integration. Fellow of the Academy of Technological Sciences and Engineering Fellow of the Combustion Institute ARC Discovery Outstanding Researcher Awardee (Fellowship) Listed in top 2% of scientists worldwide by Elsevier and Stanford University Principal leader of Chief Design Team for Sydney Olympic Relay Torch Co-inventor of patented combustor for Athens Games torch Professor Nathan has led significant research initiatives including the $215 million Heavy Industry, Low-carbon Transition Cooperative Research Centre, the $82 million Australian Solar Thermal Research Initiative, and the $14 million ARENA funded program with Alcoa and Hatch to develop technology targeting 45% reduction in CO2 emissions from the Bayer Alumina process. He works in partnership with companies including Alcoa, Calix, and Hatch on low-carbon technologies. He is also a founding chair of the High Temperature Minerals Processing (HiTeMP) Forum and co-founder of the Hydrogen Production Technologies (HyPT) Forum.

Apostolos Voulgarakisمشاهده پروفایل

استاد

• Climate change
• Atmospheric environment
• Wildfires and climate interactions
• +۳ مورد دیگر

Apostolos Voulgarakis is a Professor at the Technical University of Crete, specializing in Climate Change and the Atmospheric Environment. He holds the AXA Chair on Fires and Climate and leads the Department of Environmental and Energy Management, Sustainable Development and Climate Change. Education: 2008: PhD in Atmospheric Science, Department of Chemistry, University of Cambridge 2004: Postgraduate Diploma, School of Environmental Engineering, Technical University of Crete 2002: Degree in Physics, School of Sciences, Department of Physics, Aristotle University of Thessaloniki Research Interests: His work focuses on climate change and its impacts on the atmospheric environment , particularly the thermal and hydrological impacts of air pollution . He investigates the relationship between fires and climate , conducts climate and Earth system simulations , and explores the correlation between climate, air pollution, and public health . His expertise also extends to global and regional environmental policy . Grants and Projects: He coordinates several major projects, including the AXA Chair on Fires and Climate (2022-2026), FirePC (2022-2024), and is the founding director of the Leverhulme Centre for Wildfires, Environment and Society (2019-2029). Scientific Awards: Best lecturer at Imperial College London (2016) Best Young Scientist award from the Hellenic Meteorological Society (2008) Student Advising: He has supervised students including Anastasios Rovithakis, Dimitra Tarasi, and Rafaela Mourgela.

Scot T. Martinمشاهده پروفایل

استاد

• Environmental Science
• Atmospheric Chemistry
• Climate Change
• +۴ مورد دیگر

Scot T. Martin is the Gordon McKay Professor of Environmental Science and Engineering and Professor of Earth and Planetary Sciences at Harvard University, with affiliations in the School of Engineering and Applied Sciences and the Department of Earth and Planetary Sciences. His research focuses on engineering solutions to global environmental challenges, particularly air/water pollution and their connections to regional/global change, with significant work in the Amazon basin. Key research interests include aerosol dynamics, climate impacts of pollution, and the interplay between human activities and natural ecosystems. His work integrates field observations, laboratory experiments, and computational modeling to address complex environmental systems. Recent studies emphasize Amazonian deforestation patterns, aerosol-cloud interactions in urban and pristine environments, and the development of novel sensing technologies for atmospheric chemistry. Notable methodologies include unmanned aerial vehicle (UAV) measurements, advanced spectroscopic techniques, and machine learning-driven models. Scientific contributions span over 15 years, with a focus on air quality, climate feedback mechanisms, and environmental policy implications. His interdisciplinary approach bridges engineering, earth sciences, and public health.

Jan S. Hesthavenمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Scientific Computing
• +۶ مورد دیگر

Jan S. Hesthaven is a Professor and Provost at EPFL, leading academic affairs. He holds a Master's from the Technical University of Denmark (DTU) and a PhD in Numerical Analysis, followed by an honorary dr.techn degree from DTU. His research focuses on high-order computational methods for wave problems, reduced order models, and machine learning integration. He has co-authored over 175 papers and 4 monographs. Previously, he served as Dean of the School of Basic Sciences at EPFL and held roles at Brown University, including Director of the Center for Computation and Visualization. Awards include the Alfred P. Sloan Fellowship and the Philip J. Bray Award. Education: Master of Science in Computational Physics, DTU (1991) PhD in Numerical Analysis, DTU (1995) dr.techn in Computational Mathematics, DTU (2009) Research Interests: Development of high-order numerical methods, computational wave propagation, geophysical flows, and machine learning applications in scientific computing. His work bridges traditional methods with AI-driven approaches for real-time modeling and structural health monitoring. Recent Work: His 2023–2025 publications emphasize machine learning-enhanced models, reduced order methods, and seismic data analysis for environmental applications. Key techniques include physics-informed neural networks and graph-based operator learning. Awards: Alfred P. Sloan Fellowship (2000) NSF Career Award (2002) Philip J. Bray Award (2004) Dr.techn from DTU (2009) Grants & Leadership: Led the Center for Computation and Visualization (CCV) at Brown (2006–2013) and co-directed the NSF Institute ICERM (2010–2013). Current roles include Provost at EPFL and leadership in MATHICSE. Collaborates with industry and applied scientists on computational challenges. Labs & Teams: Active in the MATHICSE lab, focusing on numerical methods and high-performance computing. Involved in interdisciplinary projects combining AI with traditional computational science.

Anthony Wexlerمشاهده پروفایل

استاد

• Air Pollution
• Environmental Engineering
• Public Health
• +۷ مورد دیگر

Anthony Wexler is a Distinguished Professor at the University of California, Davis, holding joint appointments in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, and Land, Air and Water Resources. He serves as Director of the Air Quality Research Center (AQRC), leading research on air pollution dynamics, health impacts, and advanced instrumentation. His work bridges atmospheric science, engineering, and public health, with a focus on developing new measurement tools and models to understand pollution dispersion and exposure risks. Positions: Distinguished Professor across three departments Affiliations: AQRC, UC Davis College of Engineering Research interests include aerosol physics, particulate matter behavior, climate impacts of pollutants, and health effects of exposure. Notable projects involve the IMPROVE network for national parks air quality monitoring and EPA contract work on chemical speciation analysis. He pioneered studies on traffic-related air pollution effects on neurodegenerative diseases and developed low-cost air sensors for community use. Recent work explores machine learning applications in atmospheric modeling, including photochemical processes and aerosol transport. His lab has innovated spark-induced breakdown spectroscopy for real-time metal detection and designed highly efficient facemask geometries to reduce aerosol transmission during pandemics. Collaborations span government agencies (EPA, National Park Service), industry, and international research networks. Ongoing efforts focus on carbon capture technologies using biomimetic absorbents and AI-driven conservation laws for computational efficiency in environmental models.

Christopher H. Hendonمشاهده پروفایل

دانشیار

• Computational Chemistry
• Materials Theory
• Edible Chemical Physics
• +۸ مورد دیگر

Christopher H. Hendon is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Oregon, part of the College of Arts and Sciences. His research group, HMS Oregon, is based in the Lewis Integrative Sciences Building and operates at the intersection of computational chemistry, materials science, and food physics. B.Sc. (Adv. Hons.), Monash University (2011) Ph.D., University of Bath (2015) Postdoctoral Research, Massachusetts Institute of Technology (2017) Dr. Hendon’s research spans Materials Theory and Edible Chemical Physics . He employs quantum chemical simulations to study charge conduction, defect formation, and chemical kinetics in hybrid organic-inorganic materials, particularly metal-organic frameworks (MOFs). His group investigates redox-active MOFs, amorphization, and electronic band alignments for applications in catalysis and energy conversion. A hallmark of his work is the parallel focus on coffee science , where his lab uses laser diffraction, electrochemistry, and modeling to understand extraction kinetics, grinder fracture mechanics, and flavor thermodynamics. The publication trends reveal a strong interdisciplinary focus, blending computational chemistry with real-world applications in food and beverage science. His recent works emphasize reproducibility in brewing, particle size effects, AI in coffee, and sustainable practices, reflecting a unique integration of high-performance computation with everyday phenomena. Dr. Hendon has no listed scientific awards in the provided texts, but his influence is evident through collaborations with World Barista Champions and industry professionals. He advises a diverse team of graduate and undergraduate researchers and is actively involved in mentoring. His group collaborates widely with experimentalists in the U.S. and internationally, including through the COHOP collaboration. While no specific grants are listed, his sustained research output and lab operations suggest active funding. The group welcomes undergraduate researchers and graduate students through the UO Chemistry Department. The lab is developing into a multidisciplinary coffee research hub, aiming to integrate chemistry, physics, biology, psychology, and mathematics. This vision is supported by an extensive coffee literature repository and ongoing projects on extraction modeling, sensory science, and material sustainability.

• Experimental Particle Physics
• High-Energy Physics
• Higgs Boson Physics
• +۷ مورد دیگر

Dr. Anatoli Romaniouk is a Scientific Staff member at the Institute for Astro- and Particle Physics, Faculty of Mathematics, Computer Science and Physics, University of Innsbruck. He is actively involved in the ATLAS collaboration at CERN, contributing to experimental particle physics research using data from the Large Hadron Collider. His research interests include: Experimental Particle Physics Higgs Boson Physics Searches for Beyond the Standard Model phenomena Heavy-Ion Collisions Machine Learning in Physics Collider Physics The recent publications show a strong focus on Higgs boson measurements, searches for new particles (such as vector-like quarks, charged Higgs, magnetic monopoles), and precision tests of the Standard Model using advanced analysis techniques like neural simulation-based inference. The work spans proton-proton and heavy-ion collision environments at the LHC, primarily using the ATLAS detector. Scientific contributions include: Multiple high-impact publications in journals such as Physical Review Letters, Journal of High Energy Physics, and Physical Review D Leading roles in analyses involving Higgs physics, top quark physics, and exotic searches Development and application of novel inference methods in particle physics Dr. Romaniouk collaborates extensively within the ATLAS collaboration and contributes to major experimental efforts in high-energy physics. There is no public information about student supervision or external funding, but his active publication record indicates ongoing research engagement.

Hong Kun Zhangمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Chaotic Billiards
• +۵ مورد دیگر

Hong Kun Zhang is a Full Professor in the Department of Mathematics & Statistics at the University of Massachusetts Amherst. His research focuses on dynamical systems, ergodic theory, chaotic billiards, and financial mathematics. He holds a PhD from the University of Alabama at Birmingham (2005) under Nikolai Chernov's supervision. His work includes studies on statistical properties of hyperbolic systems, random billiards, and quantum billiards. Education: PhD in Mathematics (2005), University of Alabama at Birmingham M.S. in Mathematics (2001), University of Alabama at Birmingham M.S. in Mathematics (1998), University of Inner Mongolia, China B.S. in Mathematics (1993), University of Inner Mongolia, China Research Interests: His primary interests span billiard dynamics, statistical properties of chaotic systems, financial time series analysis, and applications of deep learning to dynamical systems. He has contributed to understanding mixing rates, entropy production, and spectral gaps in billiard systems. Awards and Grants: NSF CAREER Award (DMS-1151762) Simons Fellowship (2015–2016) NSF Grant (DMS-0901448) Dean’s Award (UAB, 2005) Key Contributions: Zhang has organized international conferences on statistical properties of dynamical systems and co-authored influential papers on Lorentz gases, spectral analysis of billiards, and applications of GARCH models in financial markets. His work bridges pure mathematics with applied fields like financial engineering and data science.

Björn Forsbergمشاهده پروفایل

استادیار

• Structural Bioinformatics
• Cryo-Electron Microscopy (Cryo-EM)
• Computational Biology
• +۷ مورد دیگر

Björn Forsberg is an Assistant Professor in the Department of Physics, Chemistry and Biology (IFM) at Linköping University, where he leads a research group in structural bioinformatics. He is affiliated with SciLifeLab Linköping and the National Supercomputer Centre (NSC), and is part of the Wallenberg National Program for Data-Driven Life Science (DDLS), supported by the Knut and Alice Wallenberg Foundation. His work bridges computational science and molecular biology, focusing on the development of novel methods for analyzing cryo-electron microscopy (cryo-EM) data. His research centers on understanding molecular life through data-driven approaches. He develops computational tools to analyze ensemble cryo-EM data, using spatial filtering and local correlation metrics to identify sources of structural variation and attribute them to biological mechanisms. His lab leverages high-performance computing resources, including the Berzelius supercomputer, to process large-scale datasets and improve the resolution and interpretability of molecular models. This work has broad implications for understanding diseases like Alzheimer's and for drug discovery. The recent publications highlight a strong trend in advancing cryo-EM methodology, particularly through software development (e.g., RELION) and the integration of machine learning and GPU computing. His work spans fungal metabolism, ion channel dynamics, chloroplast ribosomes, and foundational algorithmic improvements in 3D reconstruction. The research combines structural biology, bioinformatics, and computational physics to extract biological meaning from complex data. Scientific Awards and Recognition: Selected for the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) Supported by the Knut and Alice Wallenberg Foundation through DDLS and the PALS (Program for Academic Leaders in Life Science) network Björn Forsberg is actively building his research team, advising PhD and master’s students, and seeking postdoctoral researchers with backgrounds in computational biology, computer science, or related fields. His lab collaborates with leading experts in structural biology and uses national research infrastructures to push the boundaries of data-driven life science. He has no listed formal grants yet, but his program is funded through major foundation support. His research is conducted at the intersection of the Department of Physics, Chemistry and Biology (IFM), SciLifeLab Linköping, and the National Supercomputer Centre (NSC), forming a multidisciplinary environment for innovation in computational structural biology.

Tomoyuki ICHIBAمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Financial Mathematics
• +۵ مورد دیگر

Tomoyuki ICHIBA is a Professor in the Department of Statistics & Applied Probability and the Center for Financial Mathematics and Actuarial Research at the University of California, Santa Barbara. His research focuses on stochastic processes, financial mathematics, and probability theory with applications to systemic risk, stochastic portfolio theory, and data science. ICHIBA holds a Ph.D. in Statistics from Columbia University (2009) and has been supported by multiple NSF grants, including awards for studying interactions in financial markets and stochastic differential equations. His academic journey includes a faculty fellowship at Columbia (2004–2009) and recognition such as the SIAM SIAG/FME Junior Scientist Prize (2014). Teaching responsibilities span probability theory, stochastic processes, and actuarial science at both undergraduate and graduate levels. ICHIBA’s work bridges theoretical advancements with practical applications in finance, economics, and data-driven fields. Education: Bachelor's/Master's in Science, Statistics, and Economics, University of Tokyo Ph.D. in Statistics, Columbia University (2009) Awards: NSF Awards DMS-1313373, DMS-1615229, DMS-2008427 SIAM Junior Scientist Prize (2014)

Amit Kheraمشاهده پروفایل

استاد

• Cardiology
• Preventive Medicine
• Epidemiology
• +۴ مورد دیگر

Amit Khera, M.D., M.Sc., is a Professor in the Department of Internal Medicine at UT Southwestern Medical Center. He serves as Director of the Preventive Cardiology Program and Chief of Cardiology Clinical Operations, holding the Dallas Heart Ball Chair in Hypertension and Heart Disease. As Past President of the American Society for Preventive Cardiology and Fellow of the American Heart Association/American College of Cardiology, he focuses on cardiac risk assessment and risk factor modification. Bachelor's in American History, University of Pennsylvania (magna cum laude) MD from Baylor College of Medicine Residency at Harvard Medical School/Brigham and Women's Hospital Cardiology Fellowship at UT Southwestern Master’s in Epidemiology, Harvard University His research emphasizes preventing cardiac disease , with over 200 publications. Recent work spans Lipoprotein(a) risk modeling , radiomics for liver fat quantification , and tobacco use effects on cardiovascular health . He investigates biomarker interactions with coronary calcium progression and healthcare disparities in familial hypercholesterolemia management. 2025: Tobacco use and subclinical cardiovascular markers 2025: Novel therapies for heart transplant risk 2024: Precision medicine in population health 2023: CKM Syndrome guidelines Scientific awards include: AHA honors for women’s cardiovascular research ACC award for preventive cardiology D Magazine Best Doctors (2014-2024) Texas Monthly Super Doctor (2013-2024)

Andreas Kvammenمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Space Physics
• Ionospheric Research
• +۳ مورد دیگر

Andreas Kvammen is a Norwegian Research Fellow specializing in the intersection of Space Physics , Machine Learning , and Ionospheric Research . His work focuses on analyzing auroral phenomena, dust detection in the inner heliosphere, and developing neural networks for ionogram classification.