جست‌وجوی استاد و پژوهشگر

• Mathematics Education
• Quantitative Research Methods
• Educational Attitudes
• +۴ مورد دیگر

Dr. Maria Pampaka is a Professor at the University of Manchester, holding joint appointments in the Manchester Institute of Education and the Department of Social Statistics. Her research focuses on mathematics education, particularly learners’ attitudes and dispositions, advanced quantitative methods, and the application of complex systems theory. She has led projects on mathematics anxiety, gender equality measurement, and longitudinal survey analysis. Pampaka employs methodologies like Rasch modeling, missing data imputation, and agent-based simulations. She has collaborated internationally on studies ranging from regional gender gaps to tourist behavior analysis. Her work contributes to UN Sustainable Development Goals related to quality education and gender equality. Her research interests span mathematics education, quantitative research methods, and social statistics. Notable projects include a systematic review of mathematics anxiety and the development of the Extended Regional Gender Gaps Index (eRGGI). She has also explored applications of machine learning in tourism and healthcare, such as predicting revisit intentions and optimizing hospital resource allocation during the pandemic. Projects: Systematic review of mathematics anxiety, eRGGI development, analysis of sexual assault survivor support needs, and requirements discovery for smart driver assistive technologies. Key methodologies: Rasch modeling, multilevel modeling, thematic analysis, agent-based simulations, and machine learning. Collaborations: Cross-disciplinary work with social scientists, engineers, and healthcare professionals internationally. Pampaka’s work bridges education, statistics, and policy, aiming to inform equitable practices in learning and societal structures. She is engaged in impact initiatives like the Good Behavior Game evaluation and policy-informed gender equality research.

Chao-Ming Jianمشاهده پروفایل

استادیار

• Theoretical Condensed-Matter Physics
• Quantum Many-Body Systems
• Topological Phases of Matter
• +۴ مورد دیگر

Chao-Ming Jian is an Assistant Professor in the Department of Physics at Cornell University's College of Arts and Sciences, specializing in theoretical condensed-matter physics. His research focuses on emergent phenomena in quantum many-body systems, with particular emphasis on topological phases, quantum criticality, and entanglement dynamics. Research Interests: Jian's theoretical work explores exotic phases in quantum magnets (particularly spin liquids with fractionalized excitations), strongly-interacting quantum critical points, non-Fermi liquids, and entanglement dynamics in quantum systems. His group develops non-perturbative approaches including dualities, quantum anomalies, and dynamical mean-field theories to characterize novel collective behaviors in correlated electron systems, fractional quantum Hall systems, and quantum magnets. Research Trends: His recent publications (2023-2025) demonstrate growing focus on monitored quantum dynamics, measurement-induced criticality, topological domain wall modes, and exotic phase transitions in weakly-decohered systems. Jian frequently employs dualities and quantum anomalies to uncover universal properties of strongly-interacting systems, with increasing connections to quantum information science and error correction. Awards: Sloan Research Fellowship (2024) Moore Foundation Fellow at Kavli Institute for Theoretical Physics (2016-2017, 2018-2019) Graduate Fellow at Kavli Institute for Theoretical Physics (2015) Advising & Grants: Jian currently advises graduate students Zhou Yang and Asad Bhuiyan. His research is supported by grants enabling experimental collaborations (including IBM quantum processor experiments) and theoretical work on topological phases. He actively participates in outreach through REACT and EYH workshops, developing educational modules on moiré patterns for K-12 students. Labs & Teams: Jian leads a theoretical research group at Cornell collaborating with experimentalists (notably the Mak-Shan group on frustrated magnetism in Wigner-Mott insulators). His team frequently partners with quantum computing researchers and condensed matter theorists across institutions, particularly on projects involving quantum error correction and topological phases.

Fabien Royerمشاهده پروفایل

استادیار

• Space Structures
• Ultra-Lightweight Structures
• Structural Stability
• +۵ مورد دیگر

Fabien Royer is Assistant Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University, where he leads the Cornell Space Structures laboratory. He holds an M.Sc. from ISAE-SUPAERO (2016), M.Sc. from Caltech (2016), and Ph.D. from Caltech (2021). His research develops novel space structures using ultra-thin fiber composites to create large-scale orbital systems (>50m) for applications like climate monitoring radars and space-based solar power. Key innovations include overcoming structural instabilities, developing in-space manufacturing techniques, and engineering active space structures. Honors include Caltech's Ballhaus Prize for best doctoral dissertation, Sechler Memorial Award, and Keck Institute fellowship. His work contributed to NASA missions including AQUA, AURA, and the AAReST space telescope. Publications focus on thin-shell stability, deployable structures, and advanced space systems.

• Materials Engineering
• Metallurgy
• Solidification Processes
• +۵ مورد دیگر

Christopher Gourlay is a Professor of Physical Metallurgy at Imperial College London's Department of Materials, part of the Faculty of Engineering. He has been affiliated with the Engineering Alloys research theme since 2008, specializing in microstructure development during phase transformations in alloys and solders. His research focuses on lightweight magnesium and aluminum alloys, electronic solder joint reliability, and solidification processes. He holds a MEng in Metallurgy from the University of Oxford (2002) and a PhD from the University of Queensland (2007), where his work centered on semi-solid deformation of Al and Mg alloys. He was awarded a RAEng/EPSRC Research Fellowship in 2008. Research interests include solidification microstructure control, intermetallic compound effects in solders, and alloy recyclability. Key projects involve thermal fatigue resistance of solder joints, grain refinement in magnesium alloys, and in-situ imaging of microstructural dynamics. He is a Fellow of the Institute of Materials (FIMMM) and the Institute of Cast Metals Engineers (FICME), and currently chairs the Electronic Packaging and Interconnection Materials Committee at TMS (USA, 2023–2027). His group employs advanced characterization techniques like synchrotron radiography and FIB-based nanoscale engineering, addressing challenges in electronic materials and sustainable manufacturing processes.

Gennady Samorodnitskyمشاهده پروفایل

استاد

• Stochastic Modeling
• Heavy Tailed Distributions
• Long-Range Dependence
• +۶ مورد دیگر

Gennady Samorodnitsky is a Professor in the School of Operations Research and Information Engineering (ORIE) at Cornell University. He holds a B.S. from the Moscow Steel and Alloys Institute (1978), M.S. from Technion – Israel Institute of Technology (1983), and a D.Sc. from Technion (1986). He joined Cornell in 1988 and has held visiting positions at the University of North Carolina at Chapel Hill and Boston University. His research focuses on stochastic processes, particularly heavy-tailed distributions, long-range dependence, and extreme value theory, with applications in finance, teletraffic, and climate modeling. Education: B.S., Moscow Steel and Alloys Institute, USSR, 1978 M.S., Technion – Israel Institute of Technology, 1983 D.Sc., Technion – Israel Institute of Technology, 1986 Samorodnitsky’s research interests span stochastic modeling, including heavy-tailed processes, self-similar processes, and extreme value analysis. He examines the behavior of financial and telecommunication systems under long memory and non-Gaussian conditions. Key areas include the statistical analysis of extremes in climate data and the theoretical foundations of stable and infinitely divisible processes. His work bridges probability theory with applications in risk management, network traffic analysis, and climate science. His publications explore topics such as high-level excursion sets in random fields, tail inference, and the interplay between ergodic theory and stochastic processes. He has contributed to books like Stochastic Processes and Long Range Dependence and authored numerous technical reports on topics like ruin probabilities and multivariate extremes. Samorodnitsky teaches advanced courses, including ORIE 7590: Martingales in Discrete and Continuous Time , and maintains an active role in academic conferences and collaborations. His research group investigates cutting-edge problems in high-dimensional extremes, privacy-aware learning, and topological data analysis.

Vikram Raviمشاهده پروفایل

استادیار

• Neutron Stars
• Black Holes
• Fast Radio Bursts (FRBs)
• +۵ مورد دیگر

Vikram Ravi is an Assistant Professor of Astronomy at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. He leads the astronomy department's research on relativistic astrophysical phenomena and instrumental development. His academic journey includes a B.S. from the Australian National University (2009) and a Ph.D. from the University of Melbourne (2014), followed by postdoctoral roles at Caltech and Harvard-Smithsonian Center for Astrophysics. His research focuses on neutron stars, black holes, fast radio bursts (FRBs), and tidal disruption events (TDEs). He pioneered the DSA-2000 radio telescope project, aiming to revolutionize transient astronomy. Key contributions include gravitational wave predictions from supermassive black hole binaries and FRB-based studies of galaxy halos and dark matter. Ravi's honors include the Charlene Heisler Prize and Stefano Braccini Prize for his Ph.D. work on pulsar-timing constraints on gravitational waves. He actively mentors students and postdocs in instrumentation, computational astrophysics, and observational campaigns. His groups at Caltech and Owens Valley Radio Observatory develop cutting-edge tools like the Deep Synoptic Array (DSA) telescopes, enabling breakthroughs in FRB localization, TDE surveys, and cosmic baryon mapping. Future projects include the DSA-2000's fast-time-domain surveys and dark matter searches.

Jie Liمشاهده پروفایل

استاد

• Mineral Physics
• Geochemistry
• Petrology
• +۳ مورد دیگر

Jie Li is the Rodney C. Ewing Collegiate Professor of Earth and Planetary Sciences and Professor of Earth and Environmental Sciences at the University of Michigan. She holds a Ph.D. in Earth and Planetary Sciences (Harvard University, 1998) and an M.A. in Geophysics (Harvard University, 1997). Her research focuses on Earth and planetary materials under extreme conditions, leveraging high-pressure techniques like diamond-anvil cells and synchrotron facilities. Key interests include terrestrial planet evolution, core composition, and dynamics of planetary interiors. Recent studies explore light elements in Earth’s core, Mercury’s magnetic field origin, and early Earth crust formation. Her work bridges experimental geochemistry, mineral physics, and computational modeling to understand planetary interiors. Notable contributions include pioneering studies on iron spin states in the lower mantle and the role of metallic melts in mantle dynamics. She collaborates globally, advancing methodologies for high-pressure experiments. Her research has been featured in outlets like Mashable India , highlighting her insights on Earth’s core dynamics and planetary science. Li’s lab emphasizes interdisciplinary approaches to unraveling the origins of planetary materials and their evolution over geological time.

• Architectural Acoustics
• Room Acoustics
• Acoustic Retroreflection
• +۵ مورد دیگر

Associate Professor Densil Cabrera is affiliated with the School of Architecture, Design and Planning at The University of Sydney, where he directs the Audio & Acoustics Program. He holds a PhD in psychoacoustics from the University of Sydney, along with degrees from UTS and Sydney in music and communication studies. His research focuses on architectural acoustics, retroreflective surfaces, room acoustics modeling, and auditory environments in built spaces. He explores applications in concert halls, open-plan offices, and historical structures like Indian stepwells. Key areas include acoustic retroreflection for speech support, sustainable acoustic materials, and the integration of digital fabrication techniques. Recent work addresses acoustic comfort in open-plan offices, adaptive acoustic models, and the impact of materials like mycelium composites. He has led projects on robotic fabrication for acoustic surfaces and the psychoacoustic effects of room design. Grants: Australian Research Council (DP23), Australian Acoustical Society (2019) Expertise: Stage acoustics, auditorium design, noise control, virtual reality simulations Labs/Teams: Audio & Acoustics Program at Sydney School of Architecture, collaborations with robotics and material science teams.

• Renewable Energy
• Fluid Dynamics
• Turbine Design
• +۳ مورد دیگر

Christopher Vogel is a Research Fellow at New College and a Senior Research Associate in the Department of Engineering Science at the University of Oxford. He holds a first-class BE(Hons) in Engineering Science from the University of Auckland and completed his DPhil at Oxford under the Oxford Martin School’s Programme on Globalising Tidal Power Generation. His work focuses on advancing renewable energy technologies, particularly in tidal and wind energy systems. His research interests include fluid dynamics of tidal turbines, aerodynamic performance optimization, blade design under erosion, and large-scale renewable energy array modeling. He has contributed to projects like the Tidal Energy Research Group and the FastBlade facility for full-scale tidal blade testing. Vogel’s work integrates computational fluid dynamics (CFD), experimental testing, and multi-scale analytical models to address challenges in energy extraction efficiency, structural durability, and system reliability. Recent publications highlight advancements in actuator line methods for turbine wake prediction, uncertainty quantification in blade-element momentum theory, and dynamic loading analysis of tidal arrays. His studies often bridge theory and application, emphasizing practical solutions for marine and wind energy deployments. Collaborations include the Tidal Benchmarking Project and investigations into hybrid systems combining wave energy converters with breakwaters. Vogel’s interdisciplinary approach addresses both technical and environmental dimensions of sustainable energy systems.

James Westمشاهده پروفایل

استاد

• Electrical Engineering
• Acoustics
• Materials Science
• +۳ مورد دیگر

James West is a Professor of Electrical and Computer Engineering and Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering. He is renowned globally as co-inventor of the foil electret microphone, foundational to 90% of modern microphones. With over 60 U.S. patents and 200+ foreign patents, his career spans Bell Laboratories (1962–2001), where he pioneered polymer foil electret technologies. At Johns Hopkins since 2001, he focuses on teleconferencing acoustics, wearable health sensors, and energy harvesting. His research emphasizes biomedical applications like lung sound monitoring and telemedicine integration. Education: B.S. in Physics from Temple University (1957). Awards include National Inventors Hall of Fame Induction. He actively mentors students, advocating for diversity in STEM. Key research areas include medical device innovation, acoustic transducers, and sustainable energy systems. Key Contributions: Electret microphone technology, lung sound sensors, and hybrid energy harvesters. Recent Focus: Acoustic-based disease detection (e.g., COVID-19 screening) and telehealth sensor integration. Labs/Teams: Healthcare Acoustics Research Team (HART), collaborating on medical acoustics and sensor development. His work bridges academic and industrial innovation, emphasizing interdisciplinary collaboration. Current projects address noise suppression in clinical settings and wearable health monitoring systems.

Thao Nguyenمشاهده پروفایل

استاد

• Biomechanics
• Polymer Engineering
• Materials Science
• +۳ مورد دیگر

Thao (Vicky) Nguyen is a Professor of Mechanical Engineering at Johns Hopkins University, with a secondary appointment in the Department of Materials Science and Engineering. She is co-Deputy Director of the Hopkins Extreme Materials Institute (HEMI). Her research focuses on biomechanics of soft engineering and biological materials, including adaptive polymers, fracture mechanics, and ocular biomechanics related to glaucoma. Key collaborators include the National Eye Institute and National Science Foundation. Nguyen holds a B.S. from MIT (1998), and M.S. and Ph.D. from Stanford (2000, 2004). She previously worked at Sandia National Laboratories. Awards include the James R. Rice Medal (2025), NSF CAREER Award, and multiple ASME honors. Her lab integrates experimental and computational approaches, with notable work on shape-memory polymers and scleral biomechanics. Research interests include collagen growth, liquid crystal elastomers, and architected materials. She leads studies on optic nerve head mechanics, funded by DOD, NEI, and BrightFocus. Nguyen serves on editorial boards for ASME journals and professional societies.

Emily J. Silverمشاهده پروفایل

دانشیار

• Human Dimensions of Forestry
• Sustainable Resource Management
• Environmental Behavior
• +۵ مورد دیگر

Emily J. Silver is an Associate Professor, Associate Chairperson, and Director of Graduate Studies in the Department of Forestry at Michigan State University (MSU), housed within the College of Agriculture & Natural Resources. She leads the Human Dimensions of Natural Resources Laboratory, focusing on understanding human behavior's impact on natural resource management outcomes. Her work spans rural and urban forestry systems, integrating social science methodologies with ecological and policy frameworks. Dr. Silver holds a PhD in Forestry (University of Maine, 2015), an MS in Natural Resources Science (University of Minnesota, 2012), and a BA in Environmental Studies & Music Composition (Brandeis University, 2008). She has secured grants including a $160K USDA award to expand forestry career opportunities. Her research employs agent-based modeling, observational data, and stakeholder engagement to address challenges in forest stewardship, bioenergy systems, and urban resilience. Key collaborators span ecology, psychology, and policy disciplines. Current projects include agroforestry market innovation and wood pellet technology diffusion studies. Dr. Silver advises the Forest Carbon and Climate Program and contributes to initiatives like MassTimber@MSU. She teaches graduate courses in human dimensions methodologies and supervises students in the Human Dimensions Lab.

• Nuclear Materials
• Radiation Damage Physics
• Computational Materials Science
• +۴ مورد دیگر

Pär Olsson is a Professor in the Department of Nuclear Science & Engineering at KTH Royal Institute of Technology. His research focuses on computational and experimental studies of radiation damage in nuclear materials, with particular emphasis on understanding defect dynamics, microstructural evolution under irradiation, and the behavior of advanced nuclear fuels. He leads courses such as Multiscale Modeling of Nuclear Materials and Radiation Damage Physics, emphasizing both theoretical and practical aspects of materials science in nuclear contexts. His research interests include the development of advanced accident-tolerant fuels (e.g., UN-UO2 composites), the computational modeling of radiation effects in metals like Fe and W, and the interplay between solute atoms and defects in irradiated materials. His work combines first-principles calculations, kinetic Monte Carlo simulations, and experimental validation to address challenges in nuclear energy systems. Notable contributions include studies on fission product solubility in nuclear fuels, oxygen’s role in tungsten defect evolution, and the thermal performance of UN-based composites. His team’s projects, such as the M4F initiative (Multiscale Modelling for Fusion and Fission Materials), aim to bridge atomistic and continuum-scale models for material design. Pär Olsson collaborates extensively with international institutions and contributes to nuclear materials education through course coordination and supervision of graduate studies in physics and materials science.

Riccardo Simionatoمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Audio Modeling
• Sound Synthesis
• +۳ مورد دیگر

Riccardo Simionato is a Research Fellow in the Department of Musicology at the University of Oslo (UiO), affiliated with the Faculty of Humanities. He holds a MSc and BSc in Computer Science and Information Engineering from the University of Padova, Italy, and conducted research at Aalto University, Finland (2017–2018). His research focuses on nonlinear audio modeling using deep learning, particularly addressing low-latency interactive solutions for acoustic and electronic musical instruments/devices. Education: 2018: MSc in Computer Science Engineering, University of Padova 2015: BSc in Information Engineering, University of Padova Research Interests: Deep Learning , Audio Modeling , and Sound Synthesis . He explores how deep learning can approximate complex nonlinear phenomena in audio systems, balancing computational efficiency with interpretability. Recent work emphasizes hybrid neural-audio effects, time-variant systems, and physics-informed methods for piano modeling. Publications highlight advancements in optical compressor modeling, piano analysis, and tools for generating audio effect datasets. His work bridges machine learning and music technology, aiming for practical applications in real-time audio processing and electronic instrument emulation. Grants and advising: No specific grants or student advisees listed in the provided text. Collaborations include projects with Prof. Stefano Fasciani and teams at UiO’s Department of Musicology. Labs/Teams: Active within UiO’s Sound and Music Computing research group, focusing on interdisciplinary projects combining computer science and music technology.

• Physical Chemistry
• Materials Science
• Organic Semiconductors
• +۵ مورد دیگر

Christian Müller is a Professor at Chalmers University of Technology since 2017, following roles as Assistant and Associate Professor there from 2012. He holds a Dr.Sc. in Materials Science from ETH Zurich (2008) and degrees from Cambridge University. His research focuses on physical chemistry of organic semiconductors, polymer blends, and composites, with applications in wearable electronics and energy technologies like organic solar cells and thermoelectrics. He leads a group developing novel materials for high-voltage insulation, plasmonic sensors, and sustainable energy solutions. Notable achievements include ERC Consolidator (2022) and Starting Grants (2014), SSF Future Research Leader (2016), and Wallenberg Scholar status (2021). Müller has authored over 180 papers and 3 book chapters, with 20+ patents. His work bridges fundamental material science and applied technologies, emphasizing conductivity, thermal stability, and functionalization. Recent articles highlight advances in organic solar cell stability, thermoelectric textiles, and high-voltage insulation materials. His research integrates computational methods (e.g., Bayesian modeling for glass formation) with experimental techniques (e.g., nanoindentation for elastic modulus analysis). Awards: ERC Grants, Wallenberg Scholar, SSF Leadership Patents: Over 20 inventions in polymer composites and energy materials Grants: Focus on sustainable energy systems and material innovation Labs/Teams: Active in Chalmers’ materials science groups, collaborating globally on organic electronics and thermoelectric textiles.