جست‌وجوی استاد و پژوهشگر

Julia Chuzhoyمشاهده پروفایل

استاد

• Theoretical Computer Science
• Graph Theory
• Approximation Algorithms
• +۵ مورد دیگر

Julia Chuzhoy is the Manuel Blum Professor at the Toyota Technological Institute at Chicago (TTIC) and holds a part-time Professor appointment in the Department of Computer Science at the University of Chicago . She completed her Ph.D. at the Technion under the supervision of Seffi Naor , followed by postdoctoral positions at MIT , University of Pennsylvania , and the Institute for Advanced Study . She also served as a Weizmann Institute Weston Visiting Professor in 2018-2019. Her research in theoretical computer science focuses on graph-related optimization problems , including approximation algorithms, dynamic algorithms, fast graph algorithms, and hardness of approximation. She has received major funding through NSF grants (CCF-1318242, CCF-1616584, CCF-2006464, CCF-2402283) and the NSF HDR TRIPODS award (2216899). Her recent publications highlight advancements in approximation algorithms (e.g., maximum bipartite matching), dynamic graph algorithms (e.g., decremental shortest paths), and structural graph theory (e.g., excluded grid theorem). These works span both algorithmic improvements and theoretical lower bounds. Scientific recognition includes NSF Career Award (2013) Alfred P. Sloan Research Fellowship (2011) She has advised numerous TTIC and University of Chicago Ph.D. students, including Rachit Nimavat , Zihan Tan , and Parinya Chalermsook (now faculty at Aalto University ).

Xujia ZHUمشاهده پروفایل

دانشیار

• Uncertainty Quantification
• Surrogate Modeling
• Stochastic Simulators
• +۴ مورد دیگر

Xujia ZHU is an Associate Professor at CentraleSupélec, Paris-Saclay University, affiliated with the Laboratory of Signals and Systems (L2S). His research focuses on uncertainty quantification, surrogate modeling, stochastic simulators, and reliability analysis. He holds an engineer’s degree in Mechanics from École Polytechnique (2015), a Master’s in Computational Mechanics from TU Munich (2017), and a Ph.D. from ETH Zurich (2022). He was a postdoctoral researcher at ETH Zurich until 2023. Education: Ph.D., Chair of Risk, Safety, and Uncertainty Quantification, ETH Zurich, 2022 Master’s (high distinction), Computational Mechanics, Technical University of Munich, 2017 Engineer’s Degree, Mechanics, École Polytechnique, 2015 Research Interests: Xujia’s work bridges numerical simulations and statistics, addressing topics like uncertainty propagation, sensitivity analysis, and surrogate modeling for stochastic systems. Key areas include polynomial chaos expansions, Bayesian active learning, and applications in seismic fragility analysis. Publications: His recent work emphasizes emulation techniques for stochastic simulators, multi-fidelity methodologies, and Bayesian active learning strategies in reliability analysis. Key themes include sparse polynomial chaos expansions and latent variable modeling. Labs/Teams: Affiliated with L2S, he collaborates on transversal projects in energy, industry, and health, leveraging interdisciplinary approaches in uncertainty quantification and computational modeling.

Adam K Leibovichمشاهده پروفایل

استاد

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

Adam K. Leibovich serves as the Dean of the Kenneth P. Dietrich School of Arts and Sciences at the University of Pittsburgh. He holds the rank of Professor and specializes in particle physics, focusing on Standard Model interactions, gravitational waves, and LHC physics. His research employs effective field theory techniques to study quarkonia, radiation reaction in compact binaries, and dark matter constraints. Key awards include AAAS and APS Fellowships (2018 and 2017), the Bellet Teaching Excellence Award (2010), and NSF CAREER and Cottrell Scholar Awards (2006). His work spans over 150 publications, with recent contributions on Higgs boson decays to charmonia and gravitational wave dynamics. Leibovich advises graduate students in theoretical physics and has contributed to LHCb experiments on quarkonium production. His leadership emphasizes interdisciplinary education and cutting-edge research in physics and astronomy.

Malcolm Fairbairnمشاهده پروفایل

استاد

• Dark Matter
• Dark Energy
• Cosmological Inflation
• +۳ مورد دیگر

Professor Malcolm Fairbairn is a faculty member at King's College London's Department of Physics, part of the Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on the intersection of cosmology, particle physics, and astrophysics, particularly dark matter, dark energy, and cosmological inflation. He leads projects like the ERC Consolidator Grant (2015–2020) investigating dark matter in the early Universe. He collaborates with initiatives such as the MoEDAL experiment at CERN (magnetic monopole searches) and the Cherenkov Telescope Array (CTA) for gamma-ray astronomy. His interests extend to gravitational waves, supermassive black hole formation, and particle astrophysics. Fairbairn has contributed to studies on axion dark matter, primordial black holes, and dark matter constraints from dwarf galaxies. He is affiliated with the Theoretical Particle Physics & Cosmology (TPPC) Group, exploring beyond-Standard-Model physics, including supersymmetry and extra dimensions. Publications span topics like dark matter relic abundance, JWST observations of black holes, and LHC searches for exotic particles. He has advised on outreach projects like the 'Dark Matter' exhibition at Science Gallery London and interviews with alumni (e.g., Royal Navy submariner Chris Tuckley).

Sithik Aliyarمشاهده پروفایل

پژوهشگر

• Wind Energy
• Computational Fluid Dynamics
• Offshore Engineering
• +۳ مورد دیگر

Sithik Aliyar is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Flows Wind Turbine Design Division, at the Technical University of Denmark (DTU). He specializes in computational fluid dynamics (CFD) and offshore wind turbine dynamics, focusing on wave interactions with floating structures. Institution: Technical University of Denmark (DTU) Department: Flows Wind Turbine Design Division, Wind and Energy Systems Research Focus: Floating wind turbines, extreme sea states, harmonic separation, and numerical algorithms His work combines advanced CFD simulations with experimental validation to analyze floating wind turbine stability under directional waves. Recent contributions include the FloatStepper algorithm for robust wave response modeling and studies on SPAR platform upending risks. Publications highlight collaborations with experts like H. Bredmose and J. Roenby, with research outputs spanning Renewable Energy , Royal Society Open Science , and international conferences on ocean engineering. Key metrics include open-access citations, computational fluid dynamics, and floating wind turbine dynamics.

Fabio Pierellaمشاهده پروفایل

دانشیار

• Offshore Wind Energy
• Fluid Dynamics
• Structural Engineering
• +۳ مورد دیگر

Fabio Pierella is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Flows, specializing in Wind Turbine Design Division. His research focuses on offshore wind energy systems, fluid dynamics, and structural engineering. He has contributed to projects like OC6 Phase IV and the DeRisk database, validating numerical models for floating offshore wind structures and extreme wave loads. Key research interests include computational fluid dynamics (CFD), hydrodynamic load modeling, and the design of large-scale floating wind turbines. His work spans numerical simulations, experimental validation, and database development for extreme sea states. Pierella has presented at international conferences on topics like wave-structure interaction and turbine control systems. He received the Best Poster Presentation Award (2024) and contributed to datasets such as the DeRisk Database, which provides critical wave data for offshore wind turbine design. His research emphasizes practical applications, including monopile structural integrity under extreme loads and control strategies for floating platforms. Pierella's activities include conference presentations on ultra-large floating turbines (EMULF2 project) and the impact of wave shape on 15MW turbine loads. His interdisciplinary approach integrates computational models with experimental results to address challenges in offshore renewable energy systems.

• Particle Physics
• High Energy Physics
• ATLAS Collaboration
• +۳ مورد دیگر

Jonas Strandberg is an Associate Professor at KTH Royal Institute of Technology's Department of Physics, part of the School of Engineering Sciences. His research focuses on particle physics, particularly within the ATLAS Collaboration at the Large Hadron Collider (LHC). He contributed to the Higgs boson discovery and currently studies its properties. Strandberg has been involved in detector development, including the HGTD timing detector for the LHC upgrade. He holds a PhD from Stockholm University (2006) and worked as a postdoc at the University of Michigan (2006-2011) before joining KTH. His teaching responsibilities include courses on experimental particle physics, statistical methods, and engineering skills. Research interests span high-energy physics, collider technology, and detector systems. Research Highlights: Member of the ATLAS Collaboration since 2011 Key contributor to Higgs boson measurements Developed timing detector systems for LHC upgrades Published extensively on particle physics and accelerator technology Teaching & Supervision: Course responsible for Experimental Particle Physics (SH2203) Teaching roles in Applied Modern Physics (SH1015), Embedded Systems Design (IL2232), and more Professional Activities: ATLAS Data Preparation Coordinator (2015-2017) Member of the Particle and Astroparticle Physics Group at AlbaNova University Centre

Helen Cainesمشاهده پروفایل

استاد

• Nuclear Physics
• Particle Physics
• Experimental Nuclear Physics
• +۳ مورد دیگر

Helen Caines is the Horace D. Taft Professor of Physics at Yale University. She is affiliated with the Department of Physics and actively collaborates with the ALICE and STAR experiments at CERN’s LHC and Brookhaven’s RHIC. Her research focuses on understanding the behavior of nuclear matter under extreme conditions, particularly the Quark-Gluon Plasma (QGP), through experimental and theoretical studies of ultra-relativistic heavy-ion collisions. Dr. Caines holds a Ph.D. in Physics from the University of Birmingham (1996). Her honors include Fellowships from the American Physical Society (2019), the Institute of Physics (UK, 2008), and a notable recognition as the APS CSWP Woman Physicist of the Month in January 2012. Her research interests span experimental nuclear physics, with emphasis on measuring high-momentum particles in collisions and their interactions with the QGP. She has pioneered studies of strangeness production and jet quenching. Her work contributes to decoding the QGP’s properties, such as its equation of state and collective behavior. Recent articles focus on QGP signatures through jet energy loss, photonuclear production, and hypernuclei formation. These studies highlight advancements in understanding the quark-gluon medium’s dynamics and the phase transitions in high-energy collisions. Dr. Caines has been a leader in collaborative experiments at the LHC and RHIC, advancing global efforts in relativistic heavy-ion physics. Her teaching philosophy emphasizes integrating ethical and humanistic perspectives into STEM education.

• Nonlinear Dynamics
• Planetary Dynamics
• Solar Physics
• +۶ مورد دیگر

Norm Murray is a Professor at the Canadian Institute for Theoretical Astrophysics (CITA) within the University of Toronto . With a Ph.D. from UC Berkeley (1986), his research spans nonlinear dynamics , planetary formation , solar system evolution , and active galactic nuclei . His work combines theoretical physics with observational data from radio telescopes, X-ray satellites, and cosmological simulations. Recent research focuses on galaxy formation (via FIRE simulations), dark matter interactions in dwarf galaxies, and AGN disk dynamics . He employs machine learning for planetary collision modeling and investigates the interplay of magnetohydrodynamics and radiative transfer in quasar environments. Publications highlight his expertise in computational astrophysics, spanning topics from cosmic molecular gas mapping to the stability of exoplanetary systems.

• Noise Abatement in Machines and Vehicles
• Numerical Modeling in Mechanics
• Automotive Structures and Dynamics
• +۱۲ مورد دیگر

Prof. Wim Desmet is a full professor at the Faculty of Engineering Science and head of the Department of Mechanical Engineering at KU Leuven . His research focuses on advanced modeling techniques for mechanical systems, including: noise and vibration control in automotive and industrial systems computational acoustics and interval field uncertainty modeling metamaterials for broadband vibroacoustic performance AI-driven diagnostic systems in renewable energy and manufacturing Current research projects address challenges in electric vehicle drivetrains, wind turbine monitoring, and multi-physical digital twin development. He actively contributes to academic governance as: Managing Director of KU Leuven Head of Subdivision HIST Chair of multiple executive committees Member of 15+ academic and administrative councils

Vincent Sokalskiمشاهده پروفایل

استاد

• Magnetic Materials
• Spintronics
• Computer Memory
• +۳ مورد دیگر

Professor Vincent Sokalski is a faculty member in the Department of Materials Science and Engineering at Carnegie Mellon University (CMU), specializing in nanoscale magnetic and spintronic materials. He holds a B.S. from the University of Pittsburgh and advanced degrees (M.S., Ph.D.) from CMU. His research focuses on emerging phenomena in magnetic thin films for energy-efficient computing, particularly leveraging skyrmions and the Dzyaloshinskii-Moriya interaction. He chairs the Pittsburgh IEEE Magnetics Society and directs CMU's MSE Department's community and inclusion initiatives. Sokalski also leads outreach efforts through the College of Engineering. Education: Ph.D., Materials Science & Engineering, CMU (2011) M.S., Materials Science & Engineering, CMU (2009) B.S., Materials Science & Engineering, University of Pittsburgh (2007) Research emphasizes low-power memory solutions via spintronic materials, with a focus on stabilizing skyrmions for next-generation computing. His group employs combinatorial material design and advanced imaging techniques like Lorentz transmission electron microscopy. Recent work explores asymmetrical superlattices and DMI-driven phenomena. Publications highlight advancements in domain wall dynamics, skyrmion stabilization, and magnetic symmetry breaking. Awards include the 2021 Provost’s Inclusive Teaching Fellowship. Sokalski advises students like Nisrit Pandey and Maxwell Li, who have won national poster competitions. He co-leads the AMPED Consortium grant for advanced magnetic technologies and oversees MSE’s materials characterization facilities.

• Structural Health Monitoring
• Steel-Concrete Composite Structures
• Physics-Informed Machine Learning
• +۶ مورد دیگر

Dr. Xinqun Zhu is an Associate Professor at the University of Technology Sydney (UTS) in the School of Civil and Environmental Engineering . He has held academic positions at Western Sydney University (2016-2017), University of Western Australia (2005-2009), and University of Manchester (2001-2005). His research spans structural health monitoring, steel-concrete composite structures, physics-informed machine learning, and advanced sensor systems.

• Numerical Modeling
• Geotechnical Engineering
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Liang Cui is an Associate Professor at the University of Surrey , affiliated with the School of Sustainability, Civil and Environmental Engineering and Institute for Sustainability . With a PhD from University College Dublin (2006) and BE (1st honor) from Tsinghua University (2002) , his career spans geotechnical research and education since joining Surrey in 2009. Key roles: Undergraduate Programme Leader (2020-2022, 2023-on), MSc Programme Leader for Advanced Geotechnical/Civil/Structural Engineering (2022-2023) Professional memberships: Chartered Engineer (CEng), Member of Institution of Civil Engineers (MICE), Fellow of Higher Education Academy (FHEA) His primary research focuses on numerical modeling (DEM/FEM) for geotechnical applications including offshore wind foundations , geothermal energy systems , methane hydrate exploitation , and extra-terrestrial soil mechanics . Secondary interests involve material characterization of polymeric foams , porous media , and biological tissues . Recent 15 publications (2023-2025) demonstrate expertise in soil-structure interaction for renewable energy infrastructure, thermal feedback in groundwater heat pumps, and hypothesis-driven DEM simulations for lunar/martian environments. Collaborative projects span institutions including Tsinghua University , University of Bristol , and Indian Institute of Technology Bhubaneswar . Scientific Awards: Sustainability Fellow (University of Surrey, 2023) Chartered Engineer (CEng) and MICE FHEA for educational contributions Dr. Cui supervises 7 postgraduate researchers and contributes to teaching modules in soil mechanics and energy geotechnics. His work addresses challenges in hybrid marine energy systems , needleless drug delivery , and seismic resilience of critical infrastructure.

Kelly Burkettمشاهده پروفایل

دانشیار

• Statistical Genetics
• Genetic Epidemiology
• Biostatistics
• +۳ مورد دیگر

Dr. Kelly Burkett is an Associate Professor in the Department of Mathematics and Statistics at the University of Ottawa, within the Faculty of Science. She specializes in Statistical Genetics and Genetic Epidemiology, focusing on genealogical relationships, population substructure, and family-based study designs. Her work includes software development for genetic data analysis, such as SMLE and GENLIB. Dr. Burkett holds an MSc and PhD from Simon Fraser University. Research Interests: Dr. Burkett’s research addresses challenges in genetic epidemiology, including maternal effects, gene-environment interactions, and the impact of population substructure on study design. Her methodologies often integrate computational tools to analyze large-scale genetic datasets. She actively collaborates with biomedical researchers, inspiring new questions in statistical genetics and genomics. Publications & Software: Her recent work includes studies on orofacial clefting etiology, software for high-dimensional feature screening, and genealogical simulations in French Canadian populations. Her articles span topics from computational genetics to molecular biology, emphasizing interdisciplinary approaches. Advising & Collaborations: Dr. Burkett has mentored over 20 students and trainees across MSc, PhD, and postdoctoral programs. Current advisees include Yuewen Pan (MSc) and Yuhao Feng (PhD). Past students hold roles in academia, healthcare, and industry. She collaborates on biomedical projects, leveraging statistical methods to address genetic and environmental interactions. Labs & Teams: While no formal lab is explicitly mentioned, her software contributions (e.g., hapassoc, sampletrees) and collaborative projects suggest involvement in computational biology and genetics research networks at the University of Ottawa and beyond.

Christopher Kochanekمشاهده پروفایل

استاد

• Cosmology
• Gravitational Lensing
• Supernovae
• +۳ مورد دیگر

Christopher Kochanek is a Professor and Ohio Eminent Scholar in the Department of Astronomy at The Ohio State University, affiliated with the College of Arts and Sciences. His expertise lies in cosmology, gravitational lensing, and supernovae. He earned his Ph.D. from the California Institute of Technology (1989) and a B.A. from Cornell University (1985). His research focuses on using gravitational lensing to study dark energy, dark matter substructures, and quasar accretion disks. He pioneered time-domain astronomy, exploring variability in massive stars and quasars, and co-led the ASAS-SN project for all-sky supernova detection. Key achievements include the Dannie Heineman Prize for Astrophysics (2020) and the AAS Beatrice M. Tinsley Prize (shared 2020). His work spans binary neutron star mergers, Milky Way mass estimation, and dust-obscured stellar explosions. Recent studies analyze supernova progenitors and long-term variability trends in transient events. Awards: Heineman Prize (2020), Tinsley Prize (2020) Grants & Projects: ASAS-SN collaboration with Prof. Stanek, dark energy constraints via lensing, and Milky Way dynamics. Labs/Teams: Active in the Ohio State Astronomy Instrumentation Group and ASAS-SN observatory network.