Find Academic Supervisors

• Partial Differential Equations
• Mathematical Analysis
• Nonlinear Dispersive Equations
• +2 more

Burak Gürel is a Professor of Mathematics at Boğaziçi University, affiliated with the Department of Mathematics within the College of Engineering and Natural Sciences. His primary research focuses on Partial Differential Equations and Analysis, with specific interests in dispersive equations and nonlinear Schrödinger equations. He holds a Ph.D. in Mathematics from Bilkent University (1999), an M.A. from the same institution (1995), and a B.S. from Middle East Technical University (1993). Recent teaching responsibilities include courses such as Math 101, Math 531, Math 532, and Math 433 during the 2022-2023 academic year. He has actively participated in research projects funded by TÜBİTAK, including the 2018-2020 project on the regularity properties of dispersive PDEs and a 2010 project on nearly cubic nonlinear Schrödinger equations. His work bridges theoretical analysis with applied mathematical modeling in physical systems. No specific scientific awards or student advisement records are explicitly listed in the provided information.

• Astronomy
• Astrophysics
• Gravitational Wave Physics
• +3 more

Ron Burman is an Honorary Research Fellow in the School of Physics, Maths and Computing at the University of Western Australia. Previously held the position of Senior Lecturer in Physics. His research focuses on gravitational wave physics, astrophysics, and astronomy with expertise in neutron stars, gamma-ray bursts, and observational techniques. Collaborates extensively with international gravitational wave detection initiatives like LIGO and Virgo. Education details not explicitly stated but holds BSc (NZ), MSc, PhD (Wellington), and FAIP honorific. Research interests center on advancing gravitational wave astronomy through data analysis methodologies and exploring astrophysical phenomena detectable via gravitational waves. Active in improving physics education methodologies at the secondary and tertiary levels. Authored/co-authored over 50 peer-reviewed publications including foundational work in gravitational wave detection algorithms and educational interventions in physics teaching.

• Oscillator Frequency Stabilization
• Precision Noise Measurements
• Dark Matter Detection
• +6 more

Eugene Ivanov is a Winthrop Professor at the School of Physics, Maths and Computing at the University of Western Australia (UWA), specializing in physics and engineering. His academic journey includes a Ph.D. in Radio-Physics from the Moscow Power Engineering Institute (1987) and a long tenure at UWA since 1991. He has held roles such as Principal Research Fellow and Research Professor before attaining his current rank. His research focuses on precision measurements, oscillator stabilization, and dark matter detection, complemented by industrial collaborations like the development of low-phase-noise oscillators with companies like PSI and QuantX Labs. Research Interests : Ivanov’s work spans oscillator frequency stabilization, precision noise measurements, and cryogenic systems. He pioneered techniques like Microwave Circuit Interferometry, significantly improving microwave oscillator performance. His recent projects include the ORGAN experiment for axion dark matter detection and studies of cryogenic sapphire resonators. Awards : His contributions were recognized through awards such as the 2014 Clunies-Ross Award and the 2012 Alan Walsh Medal. He also leads major grants totaling millions in funding, including projects on optical clocks, frequency standards, and dark matter detectors. Teaching & Industry : He developed a 32-lecture course on experimental physics and designed lab experiments involving rubidium spectroscopy and Michelson interferometry. His work has industrial applications in defense and quantum technologies, leveraging UWA’s partnerships with global firms. Current Projects : Ivanov’s ongoing initiatives include optimizing cryogenic oscillators and advancing axion detection methods. His team collaborates internationally on projects like the Australian Dark Matter Detector for high-mass axions.

• Gravitational Wave Physics
• Vibration Isolation
• Low Loss Suspension Systems
• +4 more

John Winterflood is a Senior Research Fellow at the University of Western Australia (UWA) in the School of Physics, Maths and Computing, Department of Physics. His research focuses on gravitational wave physics, vibration isolation systems, and precision instrumentation. He holds a BAppSc from Curtin University and a PhD from the University of Western Australia. His work emphasizes low-loss suspension systems critical for advanced gravitational wave detectors. Key research areas include isolator design, neutron star dynamics, and multi-messenger astrophysics. Recent projects involve collaborative efforts with LIGO-Virgo-KAGRA collaborations to detect gravitational waves from pulsars and compact object mergers. Notable contributions include developing monolithic Euler springs and high-Q factor silicon measurements. He has led grants such as the Automated and Instrumented Precision Foucault Pendulum (2003) and Worldwide collaboration for new frequency standards (2003-2005), advancing foundational physics research. His work bridges mechanical engineering innovations with cutting-edge astrophysical observations.

• MRI
• Atherosclerosis
• Aneurysms
• +5 more

David Saloner, PhD, is a Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF), and Chief of Radiology Research at the San Francisco Veterans Affairs Medical Center (VAMC). He leads the Vascular and Cardiac Imaging Research Group and is Director of the Vascular Imaging Research Center at SFVAMC. Education: BSc in Physics, Math, Applied Math (University of Witwatersrand, South Africa); MSc in Nuclear Physics, Dr.rer.nat in Nuclear Physics (University of Heidelberg, Germany). Postdoctoral training at University of Wisconsin-Madison and Wake Forest School of Medicine. Research focuses on cardiovascular diseases using advanced imaging methods, including MRI and CT. Key areas include atherosclerosis, aneurysms, and hemodynamic analysis. He leads multi-center studies on carotid atherosclerosis and aneurysm progression. His work integrates computational modeling, phantom studies, and in vivo longitudinal imaging. Publications emphasize vessel wall imaging, deep learning applications, and biomechanical analysis of vascular diseases. Recent work includes MRI-based wall stress quantification and CT radiomics for aneurysm monitoring. Director, VAMC Research Programs Member, VA MR Safety Committee Site PI for VA MERIT project on carotid atherosclerosis Awards: 2020 Best Teacher Award (UCSF), 2017 ISMRM Fellowship, 1997 VAMC Scientist of the Year. Labs/Teams: Vascular and Cardiac Imaging Research Group, Vascular Imaging Research Center (SFVAMC).

• Partial Differential Equations
• Mathematical Modeling
• Traffic Flow Dynamics
• +6 more

Andrea Corli is a Professor in the Department of Mathematics and Computer Science at the University of Ferrara, holding the academic classification MATH-03/A. His office is located at Via Machiavelli 30 in Ferrara, Italy, where he maintains regular office hours by appointment. With a prolific research career spanning decades, Professor Corli has established himself as a leading scholar in mathematical analysis and its applications to physical systems. Professor Corli's research interests center around partial differential equations, with particular expertise in wavefront solutions, reaction-convection equations, and hyperbolic systems. His work bridges theoretical mathematics with practical applications in traffic flow dynamics, crowd modeling, gas dynamics, and phase transitions. He has made significant contributions to understanding phenomena such as string stability in traffic flows, hysteresis effects in transportation systems, and coherence properties of fluid flow through valves. An analysis of Professor Corli's recent publications (2019-2024) reveals a consistent focus on mathematical modeling of wave propagation phenomena across diverse contexts. His work demonstrates a sophisticated integration of theoretical analysis with real-world applications, particularly in transportation systems and fluid dynamics. The research shows increasing sophistication in handling complex nonlinear systems with sign-changing diffusivity and degenerate diffusion coefficients. Professor Corli maintains an active research program with numerous collaborations, particularly with researchers including Malaguti, L., Fan, H., and Rosini, M.D. His work appears in top-tier applied mathematics journals including SIAM Journal on Applied Mathematics, Journal of Differential Equations, and Mathematical Methods in the Applied Sciences. While specific grant information isn't detailed in the available materials, his sustained publication output suggests successful research funding.

John L. D. AtkinsonView profile

Professor

• Neurosurgery
• Neuro-oncology
• Spinal Surgery
• +3 more

Dr. John L. D. Atkinson is a Professor of Neurosurgery at Mayo Clinic, affiliated with the Mayo Clinic Comprehensive Cancer Center and Department of Surgery. He specializes in complex neurosurgical procedures including brain tumor surgery, spinal cord tumor management, and pituitary tumor treatment. His clinical practice focuses on Spine Care and the Brain Tumor Program in Rochester, Minnesota. Education: Received MD from University of South Alabama (1984) and completed neurosurgery residency (1990) and cerebrovascular research fellowship (1988) at Mayo Clinic School of Graduate Medical Education. Holds dual BS degrees in Biology/Math (University of Alabama, 1977) and Sports Medicine/Physical Therapy (Tuskegee Institute, 1980). Research Interests: Includes spinal shock pathophysiology, juxtafacet cysts, and outcomes of neurosurgical interventions. Active in surgical education and technological innovation as former President of Neurosurgical Society of America (2016-2017). Professional Memberships: Extensive leadership roles including Board of Directors Interurban Neurosurgical Society (1997-2017), American College of Surgeons committees, and Pituitary Society membership. Awards: Multiple Teacher of the Year honors (Mayo Clinic Hall of Fame), Summa Cum Laude recognition (1998), and AWS Past Presidents' Award (2015).

• Physics Education Research
• STEM Education
• Teacher Preparation
• +3 more

Gay Stewart is the Eberly Professor of STEM Education and Director of the WVU Center for Excellence in STEM Education at West Virginia University. Her career spans transformative roles in physics education, including leadership at the University of Arkansas (1994–2014), where she increased physics graduates tenfold and pioneered initiatives like the PhysTEC program. She holds a Ph.D. from the University of Illinois at Urbana-Champaign (1994) and a B.S. from the University of Arizona (1988). Her research focuses on improving introductory STEM courses, teacher preparation, and inclusive education. Notable contributions include the College Ready Mathematics and Physics Partnership ($7.3M NSF grant), NSF INCLUDES Alliance, and leadership roles in APS and AAPT. Awards include the AAPT’s Oersted Medal (2019) and APS/AAPT Fellowships. Key initiatives include: Developing evidence-based physics education tools and assessments Pioneering strategies to close gender and racial achievement gaps Leading national efforts to increase qualified physics teachers Fostering interdisciplinary STEM partnerships Her work emphasizes equity, with a focus on ensuring all students—regardless of background—have pathways to STEM success. Current efforts include directing WVU’s STEM education initiatives and advancing policy-driven educational reforms.

• Physics Education Research
• STEM Education
• Student Retention in STEM
• +3 more

John Stewart is a Professor in the Department of Physics and Astronomy at West Virginia University (WVU), specializing in Physics Education Research (PER). He holds leadership roles as the PI of the WVUteach Robert Noyce Scholarship program and the CPHYS Computational Physics Scholarship program, aimed at supporting STEM education and rural students. Stewart is also the site leader of the American Physical Society's Physics Teacher Education Coalition (PhysTEC) at WVU. Dr. Stewart earned his PhD in Condensed Matter Theory from the University of Illinois, Urbana-Champaign in 1994. His career has focused on transforming physics education, notably leading the University of Arkansas' physics departmental transformation, which increased physics graduates tenfold. He transitioned to WVU in 2014, where he founded the Center for Excellence in STEM Education. His research interests include understanding classroom dynamics, student retention in STEM, and equitable physics education. Key areas of study are the structure of student knowledge, gender and ethnic biases in assessments, and improving physics teacher preparation. Stewart has authored numerous articles in journals like Physical Review Physics Education Research and American Journal of Physics . Received APS Fellow (2016) and AAPT Fellow (2018) for contributions to teacher preparation and departmental transformation. Principal Investigator of NSF-funded grants, including the STEM-R and Pulsar Search Collaboratory projects. Former editor of the National Science Digital Library's physics teacher preparation portal. Stewart advises on student scholarships and collaborates on initiatives like the PhysTEC, emphasizing teacher training and rural student support. His work extends to analyzing pandemic impacts on physics learning and developing active learning strategies for STEM retention. He directs the CPHYS scholarship, supporting rural students in computational physics, and oversees the WVUteach program to transition STEM majors into teaching. His efforts have been recognized through fellowships and leadership roles in national physics education organizations.

Carmen Petrick SmithView profile

Associate Professor

• Mathematics Education
• STEM Education
• Teacher Education
• +3 more

Carmen Petrick Smith serves as Associate Professor of Mathematics Education within the Department of Education at the University of Vermont's College of Education and Social Services. She teaches across Secondary, Middle Level, and Early Childhood Programs with expertise in STEM Learning, Teacher Education, Learning and Cognition, and Technology and Learning. Education: Ph.D. in Mathematics Education, University of Texas at Austin B.S. in Mathematics and French, Texas Christian University Dr. Petrick Smith's research pioneers embodied approaches to mathematics education, investigating how physical movement and virtual environments enhance mathematical understanding. Her work bridges practice-based teacher education with proficiency-based learning systems, examining their impact on classroom discourse, math anxiety, and assessment practices. She develops innovative frameworks for teacher capacity building through co-created lessons and embodied activity design. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on embodied cognition in mathematics, proficiency-based assessment systems, and teacher discourse development. Key trends include translating laboratory-based mixed-reality environments to classrooms, designing body-based geometric activities, and measuring personalized learning practices in middle grades. Scientific Awards: No scientific awards mentioned in source material Advising and Grants: Former high school mathematics teacher background informs current research Teaches core courses including EDSC 2570 (Introduction to Teaching Mathematics), EDEC 3560 (K-3 STEM: Math for Meaning), and EDSC 4257 (Teaching Math in Secondary Schools) No specific grants or student advising details provided Labs and Teams: No dedicated laboratory or research team information specified in source materials.

Odd Petter SandView profile

Senior Lecturer

• Computing Education
• Mathematics Education
• Programming Pedagogy
• +3 more

Odd Petter Sand is a Senior Lecturer at the University of Oslo’s Department of Informatics, specializing in computing and mathematics education. His research focuses on bridging programming, mathematics, and physics through interdisciplinary teaching methods. He holds a Ph.D. in education research from the Centre for Computing in Science Education (CCSE), a center of excellence at the University of Oslo. Previously, he worked as a software developer, upper secondary mathematics teacher, and at the University of Oslo’s IT department (USIT). Education Ph.D. in Education Research (University of Oslo, CCSE) Research Interests Sand explores how computation enhances student understanding in STEM fields, emphasizing teaching design and interdisciplinary connections. His work includes case studies on programming pedagogy, mathematics education, and computational tools in physics education. Publications His recent articles analyze student learning through programming (e.g., Python applications of Taylor expansions) and interdisciplinary approaches in science education. These studies highlight innovative teaching strategies to improve conceptual understanding. Labs/Teams Affiliated with the Computing Education research group (ITU) and the CCSE.

• Theoretical Nuclear Physics
• Quantum Dynamics
• Nuclear Astrophysics
• +7 more

Dr. Alexis Diaz-Torres is an Associate Professor in Theoretical Nuclear Physics at the University of Surrey, UK. His research focuses on quantum dynamics of nuclear reactions, with applications to astrophysical processes such as element creation in stars. He leads the School of Mathematics and Physics' Maths & Physics Programmes and teaches modules in computational physics and mechanics. Previously, he held roles at Goethe-University (Germany), ANU (Australia), and the ECT* in Italy. Education: BSc/MSc from InSTEC (Cuba), PhD (Dr. rer. nat.) from Justus-Liebig-University Giessen (Germany). Awards include Fellowships of the Institute of Physics (FInstP) and the Higher Education Academy (FHEA). Research interests include nuclear fusion mechanisms, open quantum systems, and computational modeling. Key projects involve studying element creation in dense stellar plasma and developing quantum dynamical models for exotic nuclei. His work bridges fundamental nuclear physics with astrophysical applications, contributing to understanding processes at facilities like FRIB and FAIR. Scientific Awards: Fellow of the Institute of Physics (2020) Fellow of the Higher Education Academy (2018) Advising & Grants: Supervised 7 PhD students and postdocs. Current projects include Leverhulme-funded research on element creation in stars. Leads collaborations with institutions in Germany, France, and Italy. Outreach: Authored popular articles on extending the nuclide chart and nuclear astrophysics. Involved in science communication through peer-reviewed outreach pieces and book chapters.

Michael CranstonView profile

Professor

• Probability Theory
• Stochastic Processes
• Mathematical Physics
• +3 more

Michael Cranston is a Professor in the Department of Mathematics at the University of California, Irvine. His research focuses on probability theory, stochastic processes, and mathematical physics, with emphasis on stochastic flows, the parabolic Anderson model, and polymer models. He has held academic positions at the University of Rochester and visiting roles at institutions worldwide, including EPFL, Université Paris VI, and the Max Planck Institute. Education: B. Math., University of Minnesota, 1974 Ph.D., University of Minnesota, 1980 Research Interests: Cranston’s work spans stochastic analysis, including dispersion in turbulent flows, Lyapunov exponents in random media, and phase transitions in polymer models. His recent papers address topics like homopolymer self-similarity, quenched-annealed transitions, and large deviation principles in disordered systems. Professional Experience: Professor, UC Irvine (2004–present) Professor, University of Rochester (1992–2004) Visiting Professorships at UCLA, University of Washington, and others Grants & Advising: No specific grants or advisees listed in the provided texts.

Caren TischendorfView profile

Professor

• Differential-Algebraic Equations
• Numerical Analysis
• Mathematical Modeling
• +2 more

Prof. Dr. Caren Tischendorf is a Professor of Applied Mathematics at Humboldt University of Berlin's Institute of Mathematics. Her research focuses on differential-algebraic equations, numerical analysis, and mathematical modeling with applications in electrical circuits, energy networks, and physical systems. She investigates modeling, numerical analysis, and solution methods for differential equations with algebraic constraints, including applications in circuit simulation, gas network optimization, and biological systems. Her work spans theoretical foundations and practical implementations. Recent publications cover numerical methods for differential equations, machine learning foundations, gas network modeling, and uncertainty quantification. Her work demonstrates consistent innovation in computational mathematics with applications across engineering and physics domains. As Dean of the Faculty of Mathematics and Natural Sciences (2022-2025), she provides institutional leadership. She serves as Chair of the MATH+ Council, represents DMV in ICIAM, and contributes to scientific committees for SCEE Foundation and KoMSO.

• Cognitive Psychology
• Developmental Psychology
• Neuropsychology
• +3 more

Dr. Daniele Didino is a Researcher in the Department of Psychology at Humboldt University, affiliated with the Faculty of Life Sciences. His work focuses on cognitive psychology, developmental psychology, neuropsychology, and gerontology. Key research interests include numerical cognition (e.g., SNARC effect, operational momentum), aging-related wellbeing, and educational interventions for math attainment. He has conducted studies on parietal lobe function, spatial-numerical associations, and cross-cultural psychometric evaluations in Siberian populations. His experimental methods include neuroimaging, behavioral tasks, and pilot trials for online interventions targeting older adults' physical/psychological health. No scientific awards or formal advisees are listed. Research Themes 1. Numerical cognition: Exploring spatial-numerical associations (SNARC effect) and mental arithmetic processes. 2. Aging populations: Investigating wellbeing determinants and feasibility of virtual exercise programs. 3. Cognitive development: Linking memory updating to math achievement in adolescents. 4. Neuroscientific approaches: Examining parietal lobe contributions to numerosity perception. Key Contributions - Demonstrated causal links between parietal alpha rhythms and numerical discrimination. - Evaluated cultural adaptation of wellbeing scales in Siberian elderly. - Advanced understanding of developmental trajectories in operational momentum. - Pioneered tablet-based group exercise pilots for geriatric populations.