جست‌وجوی استاد و پژوهشگر

Lars Stentoftمشاهده پروفایل

دانشیار

• Computational Finance
• Finance
• Financial Econometrics
• +۲ مورد دیگر

Lars Stentoft is an Associate Professor jointly appointed with the Department of Statistical and Actuarial Sciences and the Department of Economics at Western University. His academic work bridges quantitative finance, computational methods, and financial econometrics, contributing significantly to option pricing theory and implementation. Based in office WSC 278, he maintains an active research program supported by major Canadian funding agencies. Dr. Stentoft's research focuses on computational finance, particularly in the areas of option pricing, financial econometrics, and simulation methods. His work demonstrates exceptional technical proficiency in developing and implementing advanced numerical methods for financial applications. He has made significant contributions to American option pricing through symmetry arguments, importance sampling techniques, and variance reduction methods. His research extends to GARCH modeling, variance risk premia, and the intersection of machine learning with financial prediction. Analysis of his recent publications reveals a strong trend toward increasingly sophisticated modeling of financial derivatives, with particular emphasis on computational efficiency. His work frequently addresses the practical implementation challenges of theoretical finance models, bridging the gap between academic research and real-world financial applications. The research spans traditional finance topics like option pricing while incorporating modern approaches such as machine learning for market prediction. Dr. Stentoft currently supervises multiple graduate students including PhD candidates Xize Ye and Xiaotian Zhu, and MSc student Kiera Sobolewski. His research is supported by significant funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant (2020-2025) and the Canadian Foundation for Innovation (CFI-JELF) Grant (2021-2026), demonstrating the importance and relevance of his work to the broader research community.

• Optimization
• Metaheuristics
• Physical Modeling
• +۷ مورد دیگر

Dominique Barchiesi is a Full Professor at the University of Technology of Troyes, France, specializing in physical modeling, optimization, and signal processing. He has been affiliated with the university since 1999 and previously served as an Assistant Professor at the University of Franche-Comté from 1993 to 1999. His research spans nanomaterials, surface plasmon resonance, energy transition, and uncertainty quantification. Education : PhD in Engineering Science (1993), Master of Physics (1990), and Bachelor degrees in Mathematics and Physics (1988-1994) from the University of Franche-Comté. Labs : Associated with the GAMMA3 research group and LASMIS laboratory. His recent publications focus on plasmonic nanoparticle optimization, optical property modeling, and energy transition strategies. Key themes include computational methods for nanomaterials, uncertainty propagation in simulations, and sustainable energy solutions for developing countries. Notable works include studies on photothermal cancer therapy and digital holography for nanoparticle sizing.

Styliani Constasمشاهده پروفایل

استاد

• Theoretical and Computational Physical Chemistry
• Molecular Simulations
• Soft Matter
• +۴ مورد دیگر

Styliani Constas is a Professor in the Department of Chemistry at Western University, where she leads research in theoretical and computational physical chemistry. Her work focuses on molecular simulations of soft matter, atmospheric aerosols, and chemistry in small volumes from droplets to biological cells. She teaches multiple undergraduate and graduate courses including Physical Chemistry for Life Sciences, Thermodynamics, Quantum Chemistry, and Computer Simulations in Chemistry. B.Sc. from National and Kapodistrian University of Athens, Greece M.Sc. from Queen's University, Kingston, Canada Ph.D. from University of Toronto Marie Curie Fellow at AMOLF, Amsterdam, The Netherlands Professor Constas's research program investigates the stability of chemical and biochemical systems through computer modeling of their dynamics. She specializes in developing and applying Molecular Dynamics and Monte Carlo techniques to study rare event dynamics in systems of chemical and biological interest. Her group examines conformational changes of macromolecules in solution, stability of non-covalently bound complexes, chemical reactions in solution, and disintegration mechanisms of charged nanodrops. A major focus is chemistry in small volumes, particularly in nano- and micro-scale systems and at interfaces, with applications in atmospheric chemistry, biology, and analytical chemistry. Analysis of Professor Constas' recent publications reveals a strong focus on droplet physics and chemistry, particularly examining the behavior of charged nanodroplets, ion distribution in droplets, and the relationship between droplet properties across different size scales. Her work bridges computational chemistry with practical applications in mass spectrometry, atmospheric science, and biomolecular analysis, with significant contributions to understanding how confinement affects chemical processes. Fulbright Canada Research Chair in Climate Change, Air Quality, and Atmospheric Chemistry, University of California, Irvine (2022-2023) Department of Chemistry (UWO) Research Excellence Award Marie Curie TMR Fellowship (AMOLF, Amsterdam, The Netherlands) Visiting Fellow at Lucy Cavendish College, University of Cambridge, UK Marie Curie International Incoming Fellowship Award, Department of Chemistry, University of Cambridge, UK NSERC Accelerator Grant for Exceptional New Opportunities (AGENO) Professor Constas actively mentors graduate students and postdoctoral fellows, as evidenced by her research group photos spanning multiple years. Her group has collaborated with experimental researchers studying atmospheric aerosols to examine molecular details of mass spectrometry methods. She has secured significant research funding including NSERC grants and international fellowships that have supported her innovative work in computational chemistry. Her research has practical applications in analytical chemistry techniques, atmospheric science, and biomolecular analysis. The Constas research group maintains expertise in multi-scale, atomistic, and mathematical modeling, with capabilities in numerical solutions of electrostatic equations. They have developed specialized computational methods for studying rare events in chemical systems, particularly focusing on how confinement affects chemical processes. The group collaborates with experimentalists to interpret data and design new experiments, bridging the gap between computational predictions and laboratory observations.

• Computational Physics
• Theoretical Physics
• Materials Science
• +۳ مورد دیگر

Raffaela Cabriolu is an Associate Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). Her research focuses on computational and theoretical physics, materials science, and molecular dynamics simulations, with applications in colloidal systems, nanoporous materials, and soft matter physics. Her research interests include: Light propagation in colloidal particle systems Structural transitions in calcium carbonate Interfacial phenomena in ionic liquids Diffusion mechanisms in nanoporous materials Phase transitions under pressure Statistical mechanics of complex systems Recent work highlights trends in computational modeling, nanomaterials, and fluid dynamics. She has contributed to educational advancements in molecular simulation pedagogy and participated in outreach initiatives like the 2023 CSCS interview exploring nanobubble dynamics. Her teaching portfolio includes courses in electricity and magnetism (FY1003), numerical physics (TFY4235), and advanced numerical physics (FY8904).

• Astroparticle Physics
• High-energy Astrophysics
• Hypothetical Particles
• +۵ مورد دیگر

Michael Kachelriess is a Professor at the Department of Physics, Norwegian University of Science and Technology (NTNU). His research focuses on astroparticle physics and high-energy astrophysics, particularly cosmic ray physics, neutrino astronomy, and hypothetical particles like supersymmetric particles and axion-like particles (ALPs). Email: michael.kachelriess@ntnu.no Affiliation: Department of Physics, NTNU Research Interests High-energy astrophysics Hypothetical particles in astrophysics and cosmology Supersymmetry and beyond-standard-model physics Neutrino masses and mixing Matter interactions in extreme conditions Cosmic ray propagation and anisotropy Publication Trends Focus on cosmic ray sources (Vela, Cygnus) and their neutrino/gamma-ray signatures Development of computational tools like ELMAG and AAfrag for astroparticle simulations Analysis of photon-ALP oscillations and their detectability at TeV energies Investigation of cosmic ray escape mechanisms and Galactic magnetic field interactions Modeling of high-energy neutrino fluxes from Galactic superbubbles and local supernovae Study of antimatter production and heliospheric propagation effects

• Material Science
• Condensed Matter Physics
• Nanotechnology
• +۵ مورد دیگر

Alejandro Diaz Ortiz is an Adjunct Associate Professor in the Department of Engineering Physics at McMaster University. His research focuses on material science, condensed matter physics, and computational physics, with a strong emphasis on magnetism, alloy thermodynamics, and surface science. Key research themes: Magnetism in nanoscale systems Thermodynamics of confined materials Computational modeling of alloys Self-assembly of organic semiconductors His scholarly work spans 15 years (1993–2014) and includes 15 publications in journals like Physical Review Letters , Journal of Alloys and Compounds , and Physical Chemistry Chemical Physics . These works highlight trends in nanotechnology , surface science , and computational material modeling , particularly through cluster expansion methods and ab-initio calculations. Alejandro has contributed to understanding phase transitions in confined antiferromagnets , configurational order in disk packings , and stress engineering in photonic components . His legacy includes foundational studies on size mismatched alloys and quantum well structures .

• Mathematics Education
• Statistics
• E-Learning
• +۳ مورد دیگر

Prof. Dr. Gerald Kroisandt is a faculty member at the Saarland University of Applied Sciences , affiliated with the School of Engineering and the Department of Mathematics . His academic rank is Professor, and he actively teaches courses including Engineering Mathematics, Numerics, Statistics, and Advanced Mathematics for engineering disciplines. His research focuses on mathematics education , statistics pedagogy , and e-learning methodologies . He has pioneered innovative approaches in virtual learning environments, such as game-based learning, flipped classrooms, and cooperative learning models tailored for engineering and computer science students. Recent publications highlight his work in online education and cross-cultural educational research , with conference contributions analyzing student motivation, active learning in virtual labs, and statistics module design. His book Monte Carlo Methods and Models in Finance and Insurance (2010) remains a key reference in computational finance. Contact details: Email gerald.kroisandt@htwsaar.de , Phone +49 (0)681 5867 - 269, Room 5305, Goebenstraße 40, Saarbrücken.

Klaus Schäfersمشاهده پروفایل

استاد

• Medical Physics
• Molecular Imaging
• Positron Emission Tomography (PET)
• +۵ مورد دیگر

Klaus Schäfers is a Professor at the University of Münster , leading the Schäfers Group: Technology & Medical Physics at the European Institute for Molecular Imaging (EIMI) . His research focuses on advancing medical imaging techniques, particularly PET and MRI , with an emphasis on motion correction, image reconstruction, and hybrid imaging systems. Research Focus : Motion correction in PET/MRI, dispersion modeling, development of dynamic phantoms, and application of computer vision to biomedical imaging. Notable Contributions : Pioneering motion correction methods using Microsoft Kinect and radar sensors, creating extracorporeal circulation systems for arterial input function measurements, and developing high-resolution PET detectors. Scientific Awards : Holds a US Patent US-20140357980 for motion correction techniques in emission tomography. Publications (2014–2025) highlight innovations in PET and MRI integration, motion compensation algorithms, and phantom design for preclinical studies. His work bridges medical physics , computer vision , and biomedical engineering , aiming to enhance diagnostic accuracy through technical refinements.

• Particle Physics
• Neutrino Physics
• High Energy Physics
• +۴ مورد دیگر

Prof. Achim Stahl serves as University Professor and Chair at RWTH Aachen University, where he directs JARA-FAME (Jülich Aachen Research Alliance - Fundamental Forces and Particle Physics) and leads the 3rd Physics Institute B with approximately 70 scientists, engineers, and administrators. His research spans multiple domains of particle physics and experimental physics with significant contributions to major international collaborations including CMS at CERN, JUNO, Double Chooz, and the Einstein Telescope project. PhD in Physics from University of Heidelberg (1993), thesis: 'Installation, optimization and analysis of the ALEPH event trigger and investigation of muonic decays of tau leptons' Diploma in Physics from University of Tübingen (1988) with optimal mark 1.0 Habilitation with book 'Physics with tau leptons' published in Springer Tracts in Modern Physics Prof. Stahl's research spans multiple frontiers of particle physics. His primary interests include neutrino physics (mass hierarchy and CP-violation with experiments like JUNO, T2K, and Double Chooz), gravitational wave detection with the Einstein Telescope project, CP-violation studies through electric dipole moment searches, CMS experiment data analysis with tau leptons, and medical physics applications including radiation therapy and GEANT4 simulations. He has extensive hardware experience in detector development, including trigger systems, PMT readout, calorimeters, and position sensors. His recent publications demonstrate expertise across diverse areas of particle physics, with significant contributions to Higgs boson physics, neutrino oscillations, CP violation studies, and detector development. A substantial portion of his work focuses on the CMS experiment at CERN and the JUNO neutrino experiment, reflecting his leadership in these major international collaborations. His publications show equal strength in theoretical analysis and experimental hardware development, particularly in trigger electronics and precision measurement systems. While specific awards aren't detailed in the available information, Prof. Stahl has achieved an h-index of 120, reflecting significant impact in his field. His leadership roles include membership on the executive board of JUNO and serving as speaker of the DFG research unit FOR 2319 'Bestimmung der Massenhierarchie mit dem JUNO-Experiment'. Prof. Stahl has supervised numerous students throughout his career, including 20 theses that led to 11 OPAL papers during his time at the University of Bonn. He coordinates national activities on the Einstein Telescope and is deeply involved in multiple neutrino projects. His research is supported by significant grants enabling participation in international collaborations and hardware development for major experiments. His team has developed innovative detector technologies including integrated PMT readout systems and trigger electronics for neutrino experiments. As director of the 3rd Physics Institute B at RWTH Aachen, Prof. Stahl leads a substantial research group focused on fundamental physics questions. He is a founding member and current director of the JARA section FAME, which focuses on CP-violation and the matter-antimatter asymmetry in the universe. His team is actively developing technologies for the Einstein Telescope project, contributing to the JUNO neutrino experiment, conducting research with the CMS experiment at CERN, and applying particle physics techniques to medical applications.

Christopher M Perfettiمشاهده پروفایل

دانشیار

• Sensitivity and Uncertainty Analysis
• Radiation Transport and Computational Methods Development
• Monte Carlo Methods
• +۶ مورد دیگر

Christopher M Perfetti serves as an Associate Professor in the Department of Nuclear Engineering at the University of New Mexico, holding leadership roles including Chair of the National Alpha Nu Sigma Honor Society, Chair of the ANS Trinity Local Section, Treasurer of the American Nuclear Society's Reactor Physics Division, and Benchmarks Committee Chair in the Mathematics and Computation Division. His educational background includes: Ph.D. in Nuclear Engineering and Radiological Sciences from the University of Michigan (2012) M.S. in Nuclear and Radiological Engineering from the University of Florida (2008) B.S. in Nuclear and Radiological Engineering from the University of Florida (2007) Dr. Perfetti's research focuses on computational nuclear engineering methodologies, with emphasis on Sensitivity and Uncertainty Analysis, Radiation Transport, Monte Carlo simulations, Criticality Safety, and Reactor Physics. His work develops advanced algorithms for nuclear systems analysis with applications in reactor design, radiation shielding, and radioisotope production, while integrating cybersecurity considerations for nuclear infrastructure. He leads the Perfetti Research Group, which conducts projects including sensitivity/uncertainty analysis code development and nuclear data evaluation. Prior to UNM, he developed the CE TSUNAMI-3D code at Oak Ridge National Laboratory and served as Sensitivity/Uncertainty Analysis Method Team Lead for the SCALE Code Package.

Angelo Melinoمشاهده پروفایل

استاد

• Econometrics
• Macroeconomics
• Financial Economics
• +۳ مورد دیگر

Angelo Melino is a Professor of Economics at the University of Toronto, holding a Ph.D. from Harvard University (1983) and a B.A. from the University of Toronto (1977). He has been affiliated with the University of Toronto since 1981, becoming a full professor in 1991. His research focuses on Econometrics , Macroeconomics , and Financial Economics , with notable contributions to asset pricing, monetary policy, and labor economics. He has held leadership roles, including Associate Chair of the Department of Economics and Director of the MFE program. Research Contributions: Melino’s work spans theoretical and empirical analyses of economic policy, including inflation targeting, business cycle costs, and electricity market dynamics. His methodologies in duration analysis and term structure modeling are widely cited. Notable publications include influential papers on foreign currency options pricing and the equity premium puzzle. Awards: He is a Fellow of the C.D. Howe Institute, a Senior Fellow at the Rimini Centre for Economic Analysis, and recipient of the University of St. Michael’s College Medal in Economics (1977). Professional Activities: Melino has served as a Visiting Professor at Harvard University and the University of California, San Diego. He contributed to policy advisory roles, including Special Adviser to the Bank of Canada, and authored widely adopted textbooks on macroeconomics tailored to Canadian contexts.

David Kofkeمشاهده پروفایل

استاد

• Statistical Physics
• Molecular Modeling and Simulation
• Software Engineering
• +۳ مورد دیگر

Dr. David Kofke is a SUNY Distinguished Professor in the Department of Chemical and Biological Engineering at the School of Engineering and Applied Sciences, University at Buffalo . He holds the Walter E. Schmid Chair and has been a faculty member since 1989. His research focuses on molecular simulation, free-energy calculations, and the development of object-oriented software for education. Education PhD in Chemical Engineering, University of Pennsylvania (1988) BS in Chemical Engineering, Carnegie-Mellon University (1983) Dr. Kofke’s research interests span statistical physics , molecular modeling , and software engineering , with a focus on virial coefficients, crystal-phase calculations, and simulation method development. His work bridges theoretical and applied chemistry, emphasizing computational efficiency and accuracy. The 15 most recent articles highlight his expertise in virial equations of state , molecular simulation methods , and thermophysical data analysis . Topics include quantum fluids, polymer thermodynamics, and machine learning integration, reflecting his commitment to advancing computational chemistry through interdisciplinary approaches. Scientific Awards Presidential Young Investigator (1990) SUNY Chancellor’s Excellence in Teaching (1994) John M. Prausnitz Award (2012) Jacob F. Schoellkopf Medal (2007) Himmelblau Award (2012) AIChE Fellow (2014) AAAS Fellow (2015) Dr. Kofke has served as Associate Editor of the Journal of Chemical & Engineering Data since 2016 and led CACHE as President (2010-2012). His software development includes the Etomica simulation framework and the pyHMA post-processor for anharmonic properties.

Wayne Enrightمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Ordinary Differential Equations (ODEs)
• +۴ مورد دیگر

Wayne Enright is a Professor of Computer Science at the University of Toronto, specializing in numerical analysis and scientific computing. His research focuses on numerical methods for ordinary differential equations (ODEs), integro-differential equations (IDEs), and delay differential equations (DDEs), with an emphasis on reliability, error analysis, and software development. He has held leadership roles, including Chair of the Department of Computer Science (1993–1998) and President of the Canadian Applied and Industrial Mathematics Society (CAIMS). Enright’s contributions include advancements in numerical software like MUSN and pioneering work on defect control and sensitivity analysis. He has received the IFIP Silver Core Award and contributed to international conferences and editorial boards. His work bridges theoretical foundations with practical applications in computational biology, engineering, and stochastic modeling. Education: BSc in Mathematics (1968, University of British Columbia) MSc in Mathematics (1969, University of Toronto) PhD in Computer Science (1972, University of Toronto) Research Interests: Enright’s work centers on developing robust numerical methods for solving ODEs, IDEs, and DDEs. He emphasizes reliable error estimation, algorithm efficiency, and software implementation. Key areas include: - Superconvergent interpolants for collocation methods - Sensitivity analysis for delay differential equations - Contouring of PDE solutions on unstructured meshes - Stochastic models in biochemical kinetics Publications: Over 150 peer-reviewed articles, including seminal works on numerical methods for differential equations and computational tools. Recent trends focus on enhancing algorithm reliability, adaptive time-stepping, and exploiting problem structure for efficiency. Awards & Recognition: IFIP Silver Core Award Past President, CAIMS Executive Member, IFIP WG2.5 on Numerical Software Editorial Board Member, ACM Transactions on Mathematical Software Grants & Collaborations: Extensive funding from NSERC and international collaborations. Leads projects integrating numerical methods with real-world applications in computational science and engineering. Labs & Teams: Head of the Numerical Analysis and Scientific Computing Group at the University of Toronto, fostering interdisciplinary research in computational mathematics and software development.

Emmeke Aartsمشاهده پروفایل

دانشیار

• Data Science
• Longitudinal Data Analysis
• Machine Learning
• +۳ مورد دیگر

Dr. Emmeke Aarts is an Associate Professor in Statistics at Utrecht University's Department of Methodology and Statistics, within the Faculty of Social and Behavioural Sciences. She serves as Director of Education for the department and coordinates several academic programs including the Research Master Methodology and Statistics. Her research focuses on developing novel statistical methods for intensive longitudinal data, particularly multilevel hidden Markov models and real-time prediction algorithms in healthcare. Key areas include personalized latent dynamics and cardiovascular disease monitoring. She has received a 2024 fellowship for her work on depression dynamics in emerging adults. A资深的统计学家 and educator, she supervises PhD students and contributes to interdisciplinary collaborations with medical institutions like UMC Utrecht. Education: Research Master in Methodology and Statistics (cum laude, Utrecht University) and a PhD in interdisciplinary statistics and neuroscience (VU University Amsterdam). Postdoctoral roles included positions at the Max Planck Institute and TNO. Research Themes: Applied Data Science, Multilevel Analysis, Machine Learning, and Hidden Markov Models. Her work bridges methodological innovation with practical applications in mental health and cardiology. Current projects include Health-Holland grant-funded collaborations on heart failure prediction and real-time deterioration monitoring. Teaching: Coordinates courses such as 'Introduction to Multilevel Modelling' and leads summer schools on structural equation modeling. Supervises over 10 graduate students and provides statistical consultation for biomedical and social science projects. Grants & Awards: 2024 Fellowship for personalized depression dynamics research; Health-Holland grants for heart failure machine learning projects. Extensive record of interdisciplinary funding and academic service roles in education committees. Labs/Teams: Active in the Utrecht Platform for Applied Data Science and collaborates with UMC Utrecht Cardiology Department. Leads methodological development for multilevel HMM applications in behavioral and biomedical data.

Jörgen Blomvallمشاهده پروفایل

دانشیار

• Financial Engineering
• Stochastic Programming
• Quantitative Finance
• +۳ مورد دیگر

Jörgen Blomvall is an Associate Professor at Linköping University's Department of Management and Engineering (IEI). His research focuses on optimal financial decision-making, accurate financial measurement, and stochastic optimization models applied to financial markets. He develops methods to enhance measurement accuracy for quantities like forward rates, default intensities, and local volatilities, which are critical for equity, interest, credit, and derivative markets. Blomvall's work integrates stochastic programming and dynamic programming to address portfolio optimization, risk management, and transaction cost reduction. He is affiliated with the Operations Management and Finance research group, exploring resource optimization in manufacturing and service industries. His key research areas include financial engineering, stochastic programming, and quantitative risk management. Recent work emphasizes improving dividend estimation from intraday quotes, reducing transaction costs in hedging strategies, and analyzing stage complexity in stochastic programming for portfolio choice. Blomvall's methodologies have advanced the modeling of systematic risks and optimal investment decisions under real-world market constraints. Blomvall has contributed extensively to the development of optimization-based frameworks for performance attribution and yield curve estimation. His articles frequently address practical applications of stochastic models in financial markets, balancing theoretical rigor with computational feasibility. Despite his prolific output, no specific academic awards or student advisees are documented in the provided texts. He is active in the Production Economics (PEK) research group at Linköping University.