جست‌وجوی استاد و پژوهشگر

• Calculus of variations
• Harmonic analysis
• Microlocal analysis
• +۴ مورد دیگر

Fabio Nicola is a Full Professor in the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin. His research spans mathematical analysis with a focus on harmonic analysis, time-frequency analysis, and applications to quantum mechanics. He serves on the editorial board of the Journal of Fourier Analysis and Applications and has held various evaluative roles for research funds including the Austrian Science Fund (FWF) and Ghent University's Special Research Fund (BOF). Professor Nicola's research interests include: Calculus of variations Harmonic analysis Microlocal analysis Partial differential equations Quantum theory Time-frequency analysis Phase space analysis and applications to quantum mechanics His work demonstrates a strong focus on the intersection of mathematical analysis and quantum mechanics, particularly through time-frequency methods and phase space analysis. Nicola has made significant contributions to the theory of localization operators, the uncertainty principle in time-frequency analysis, and applications of harmonic analysis to partial differential equations. His recent work shows increasing engagement with quantum information theory, as evidenced by his preprint "The wave function of stabilizer states and the Wehrl conjecture" (2024). Professor Nicola has received several prestigious awards and honors: Optime conferred by Turin Industrial Union (2001) Best Master of Science's thesis in Mathematics conferred by University of Turin (2002) Highly Cited Research - J. Math. Pures Appl. conferred by Elsevier (2016) Elected Fellow of the Accademia delle Scienze di Torino (2024) Elected Fellow of the Società Italiana di Scienze e Tecnologie Quantistiche (SISTEQ) (2024) Effective member of the Istituto Nazionale di Alta Matematica (INDAM) since 2004 Nicola actively supervises PhD students, currently guiding Federico Riccardi in the "Scienze Matematiche" program (39th cycle, 2023-present). He has served on PhD committees at both the University of Turin and the Polytechnic University of Turin for multiple cycles from 2012-2019. His teaching portfolio includes advanced courses in time-frequency and multiscale analysis for Mathematical Engineering, as well as mathematical analysis courses for Biomedical and Aerospace Engineering programs. The course "Analisi tempo-frequenza e multiscala" (Time-frequency and multiscale analysis) was first ranked among courses in the Master's Degree Programme in Mathematical Engineering according to student evaluations in 2023/2024. He is a member of the Analysis and Quantum Theory Research Group within DISMA, where his work bridges pure mathematical analysis with applications in quantum mechanics and signal processing. His research has practical implications for understanding quantum systems and developing advanced signal processing techniques.

• Geometry of PDEs
• Submanifolds in Lorentzian conformal geometry
• CR-geometry
• +۲ مورد دیگر

Filippo Salis is a Fixed-term Assistant Professor at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino. His academic activities involve teaching, research in differential geometry, and collaboration with various engineering degree programs. Email: filippo.salis@polito.it Scientific Branch: MATH-02/B - Geometry (Area 0001 - Mathematical and Computer Sciences) Research Interests: His work focuses on the geometry of partial differential equations (PDEs), submanifolds in Lorentzian conformal geometry, and CR-geometry. This includes extremal Kähler metrics, Ricci-flat metrics, and geometric functionals on submanifolds. Teaching Roles: He serves as a course collaborator for Linear Algebra and Geometry across multiple academic years (2020/21 to 2025/26) in programs including Aerospace Engineering, Management Engineering, and Computer Science Engineering. Additionally, he holds teaching roles in PhD programs in Mathematical Sciences. Research Groups: Member of the Functional Analysis and Differential Geometry group at DISMA.

Jonathan Brownمشاهده پروفایل

عضو هیئت علمی

• Computational Materials Science
• Materials Science and Engineering
• Polymeric Materials
• +۳ مورد دیگر

Jonathan Brown is an Assistant Professor of Practice in the Department of Materials Science and Engineering at Ohio State University, joining full-time in 2020. He serves as the MSE ABET Coordinator and focuses on computational materials science and undergraduate curriculum innovation. B.S. in Applied Mathematics (minor in Physics), New Mexico Tech M.S. in Applied Mathematics with Industrial Math specialization, New Mexico Tech Ph.D. in Materials Engineering (minor in Physics), New Mexico Tech His research interests span computational modeling of polymeric materials, including: Molecular dynamics simulations of polymer glasses Fluids density functional theory for ion-doped copolymers Self-consistent field theory of microphase-separated polymers Virtual reality applications in engineering education Publication trends show a dual focus on advanced materials modeling (block copolymers, ionomers, biofilms) and educational technology innovations in VR-based instruction. Junior Investigator Award , 2013 MRS Fall Meeting Graduate Research Fellowship , Sandia National Laboratory (2008-2011) Ashman Award , New Mexico Tech (2010) Tech Scholar Award , New Mexico Tech (2006) As an advisor, he has guided undergraduate researchers in polymer modeling and VR educational tools. He also contributes to outreach through: COSI public demonstrations Project GUTS programming workshops New Mexico Supercomputing Challenge mentorship He serves on the Climate and Inclusivity Committee and develops courses on computational materials science while maintaining active research collaborations in polymer systems and biomedical modeling.

• Science Education
• STEM Education
• Educational Technologies
• +۵ مورد دیگر

Marina Milner-Bolotin is a Professor at the University of British Columbia (UBC) Faculty of Education , specifically within the Department of Curriculum & Pedagogy . She has held faculty positions at UBC since 2009, previously serving at Ryerson University (2007-2009) and UBC Faculty of Science (2004-2007). Her research spans STEM education , educational technologies , physics pedagogy , and teacher professional development , with a focus on inquiry-based and technology-enhanced learning. Her work integrates science outreach through initiatives like the UBC Physics Olympics (20+ years) and the Family Math and Science Day (since 2010). She explores artificial intelligence in education, cross-cultural teacher development (e.g., Bangladesh, Nepal), and digital tools such as Phyphox and PhET simulations. Recent studies include analyzing adolescent wellbeing using PISA data and collaborative problem-solving metrics. She leads online graduate programs for science teachers and has presented at international venues like the Beijing Science Festival . Her research trends emphasize creative pedagogy , technology integration , and global partnerships to address equity in STEM. Despite no formal awards listed, her outreach and publications highlight her impact on teacher education and public science engagement.

Andrea Giacobbeمشاهده پروفایل

استاد

• geometry of Hamiltonian systems
• non-holonomic systems
• epidemiological dynamics
• +۱ مورد دیگر

Andrea Giacobbe is a Full Professor of Mathematical Physics (MATH-04/A) in the Department of Mathematics and Computer Science at the University of Catania, Italy. His office is located in room 33, building 4 (two floors above classroom IE), with office hours held Wednesdays and Fridays from 4:00–5:00 PM by prior email appointment. He earned his bachelor's degree from the University of Padua, completed his PhD at the University of Maryland, College Park (USA), and conducted postdoctoral research at Utrecht University (Netherlands). After serving as Assistant Professor at the University of Padua from January 2005, he joined the University of Catania as Associate Professor in March 2016 before attaining his current Full Professorship. His research concentrates on: Geometric structures in Hamiltonian and non-holonomic mechanical systems Mathematical modeling of epidemiological dynamics Stability analysis in fluid dynamics Professor Giacobbe actively participates in the Liceo Matematico project—enhancing advanced mathematics education in Italian high schools—and serves as the official webmaster for the Department of Mathematics and Computer Science (DMI). He teaches undergraduate and graduate courses at the University of Catania, with current syllabi available from the 2022/2023 academic year onward.

Orazio Muscatoمشاهده پروفایل

استاد

• Mathematical Physics
• Semiconductor Physics
• Computational Modeling
• +۷ مورد دیگر

Orazio Muscato is Full Professor of Mathematical Physics (MATH-04/A) at the University of Catania, Italy, where he has served as Head of the Department of Mathematics and Computer Science since September 2019. He teaches in both Bachelor's and Master's programs in Mathematics, and serves on the board of the Ph.D. program in 'Mathematics and Computational Sciences' at the University of Messina. His research focuses on mathematical modeling in semiconductor physics including: Fluiddynamical and kinetic charge transport models Monte Carlo simulation for semiconductor devices Electrothermal transport in nanoscale systems Wigner transport equation solutions Big data analysis applications Professional memberships include: Unione Matematica Italiana Società Italiana di Matematica Applicata e Industriale Gruppo Nazionale per la Fisica Matematica Accademia Gioenia di Catania

Iman Marvianمشاهده پروفایل

استادیار

• Quantum information and computation theory
• Quantum algorithms
• Quantum circuits
• +۷ مورد دیگر

Iman Marvian is an Assistant Professor with a joint appointment (50/50) in the Department of Electrical and Computer Engineering and the Department of Physics at Duke University. He is also a member of the Duke Quantum Center. His research focuses on quantum information and computation theory, with applications spanning quantum algorithms, quantum error correction, quantum thermodynamics, and quantum resource theories. Dr. Marvian received his Ph.D. in Physics in 2012 from the University of Waterloo and Perimeter Institute for Theoretical Physics in Waterloo, Canada. His doctoral thesis was titled "Symmetry, Asymmetry and Quantum Information." After completing his PhD, he worked as a postdoctoral researcher at the University of Southern California (November 2012-August 2015) and MIT (September 2015-December 2017) before joining Duke University as an assistant professor in January 2018. Marvian's research spans several interconnected areas within quantum information science. His work on symmetric quantum circuits has revealed fundamental limitations on what can be achieved with local symmetric operations, showing that generic symmetric unitaries cannot be implemented using only local symmetric unitaries. In quantum thermodynamics and resource theories, he has made significant contributions to understanding coherence, asymmetry, and the fundamental limits of quantum thermal machines. His research on quantum algorithms includes work on spectral estimation, quantum singular value decomposition, and universal quantum emulation. He has also contributed to understanding symmetry-protected topological order and quantum speed limits. Marvian's research group has produced significant results in understanding the role of symmetries in quantum computation, particularly regarding the limitations imposed by conservation laws. His work demonstrates that while 2-local unitaries can generate any unitary transformation without symmetry constraints, this universality breaks down when continuous symmetries are present. This has implications for quantum simulation, quantum error correction, and understanding the fundamental limits of quantum computing architectures. Dr. Marvian has received several prestigious awards, including: National Science Foundation CAREER Award (2021) Dr. Marvian actively mentors PhD students and postdoctoral researchers. His current group includes Postdoctoral Researchers Dr. David Jakab and Dr. Nikolaos Koukoulekidis, and PhD students Austin Hulse, Shiv Akshar Yadavalli, Yash Chitgopekar, Plato Deliyannis, Govind Sidhardh, Sujay Kazi, and Shrigyan Brahmachari (jointly supervised with Prof. Henry Pfister). His former group member Hanqing Liu is currently a Postdoc at LANL. Dr. Marvian teaches courses including PHYSICS 623: Quantum Information Theory, PHYSICS 380: Introduction to Quantum Information Science, MATH 363: Introduction to Quantum Information Science, and ECE 623: Quantum Information Theory. Dr. Marvian's research is conducted through his theoretical quantum information group at Duke University, where he collaborates with experimentalists and theorists across disciplines to advance our understanding of quantum information processing and its applications.

Annika Dixمشاهده پروفایل

عضو هیئت علمی

• Automotive Human Factors
• Human-Machine Interaction
• Cognitive Psychology
• +۸ مورد دیگر

Dr. Annika Dix is a research associate at the Chair of Automobile Engineering, TU Dresden, where since August 2023 she has been establishing the new research group for Automotive Human Factors. She previously held research positions at TU Dresden and the interdisciplinary Centre for Tactile Internet with Human-in-the-Loop (CeTI). Her expertise spans cognitive psychology, neuroscience, and human–machine interaction. Education & Training Diplom-Psychologin (equivalent to MSc Psychology), Humboldt-Universität zu Berlin, specializing in Cognitive and Neuropsychology Doctorate (Dr. rer. nat.), 2015, Humboldt-Universität zu Berlin & Berlin School of Mind and Brain, dissertation: “Count on the Brain: Using EEG Oscillations and Eye Movements to Disentangle Intelligent Problem-Solving in Math” Research Interests Dr. Dix investigates how human cognition—especially problem solving and decision making—interacts with complex technological environments. Her core themes include: Automotive Human Factors: driver behavior, autonomous vehicle acceptance, and technical supervision roles. Human-Machine Interaction: effects of feedback latency, multisensory augmentation, and interface design on motor skill learning. Cognitive & Neural Mechanisms: utilizing EEG, fNIRS, pupillometry, and drift-diffusion modeling to understand mathematical cognition, incentive motivation, and aging. Scientific Contributions & Trends Across 20 peer-reviewed works (2012-2025), Dr. Dix has progressively widened her focus from fundamental mathematical cognition toward applied challenges in cyber-physical and autonomous systems. Recent outputs emphasize ethical and social dimensions of robotics (robots giving moral advice, acceptance of robo-advisors) and the impact of system latency on fine motor performance in augmented reality and tactile internet environments. Teaching & Mentoring She currently coordinates teaching and study-program development for the Chair of Automobile Engineering. Earlier instructional activities at TU Dresden and Humboldt-Universität covered Cognitive Psychology, Embodied Cognition, Embodied AI, and teacher-training courses on child development. Labs & Teams Dr. Dix leads the nascent Automotive Human Factors research group at TU Dresden and actively collaborates with CeTI’s interdisciplinary consortium, integrating psychologists, engineers, and computer scientists to design human-centered tactile internet technologies.

• Algorithms
• Data Structures
• Graph Theory
• +۴ مورد دیگر

Andrew Gozzard is a Lecturer in the Department of Computer Science and Software Engineering at the University of Western Australia's School of Physics, Maths and Computing. He holds a PhD from UWA (2023), a BSc in Physics, and a BSc (Honors) in Computer Science. Education : PhD in Computer Science (2023), BSc in Physics, BSc (Honors) in Computer Science His research focuses on algorithms, data structures, graph theory, and functional programming. He has contributed to probabilistic reasoning in multi-agent systems and developed algorithms for geometric intersection graphs. His work intersects computer science with mathematical logic. Key publications include studies on aleatoric dynamic epistemic logic and efficient graph algorithms. He previously worked as a programmer with UWA's Gravitational Wave Data Analysis team and completed five software engineering internships at Google. His teaching philosophy emphasizes collaborative learning and co-founding the UWA Programming Competition Society.

Adam Wattsمشاهده پروفایل

استاد مهمان

• Virgo Cluster
• Star Formation
• Molecular Gas
• +۹ مورد دیگر

Adam Watts is a Visiting Professor at the School of Physics, Maths and Computing , The University of Western Australia . His research focuses on galaxy evolution, particularly environmental effects on cold gas dynamics in clusters like Virgo. Research Interests: Using observational data (e.g., SAMI-Hi, VERTICO) and machine learning (GalProTE), he investigates Star formation suppression in clusters HI gas distribution and asymmetry Ionized vs neutral hydrogen gas interactions Galaxy rotation curves and stellar mass . Key Publications: Recent work includes studies on bipolar outflows (MAUVE, 2024), environmental evolution of cold gas (VERTICO V, 2023), and H I asymmetry datasets (IllustrisTNG, xGASS, 2020). His articles often integrate multi-wavelength data and computational methods.

• Nonlinear PDEs
• Mathematical Fluid Mechanics
• Free Boundary Problems
• +۲ مورد دیگر

Shrish Parmeshwar is a Research Fellow at CY Cergy Paris University , focusing on Nonlinear PDEs and Mathematical Fluid Mechanics . He works under the supervision of Prof. Philippe Gravejat , with prior postdoctoral experience at Imperial College London , University of Warwick , and University of Bath (under Prof. Monica Musso ). His doctoral research at King’s College London was advised by Prof. Mahir Hadžić and centered on compressible fluid dynamics and singularity formation in PDEs. His research program explores Free Boundary Problems , Vortex Dynamics , and Singular Limits in fluid mechanics, particularly through collaborations with experts like Juan Dávila , Manuel del Pino , and Monica Musso . Recent publications in J. Differential Equations and Quart. Appl. Math. analyze self-similar vortex configurations and global existence criteria for nonlinear systems. As an educator, he has served as a Tutor for advanced mathematics courses at University of Bath (Vector Calculus, Analysis 2A) and King’s College London (Fourier Analysis, PDEs and Complex Variables). His teaching emphasizes analytical methods and their applications to fluid dynamics.

Lucas Goehringمشاهده پروفایل

استاد

• Pattern Formation
• Complex Fluids
• Fracture Mechanics
• +۵ مورد دیگر

Lucas Goehring is a Professor in the Physics and Maths department at Nottingham Trent University (NTU), where he leads an experimental research group studying pattern formation and complex fluids. His work spans fundamental physics of mechanical instabilities to interdisciplinary applications in geophysics and biophysics. He teaches condensed matter physics, forensic image processing, and first-year physics labs, with prior teaching experience in environmental physics, non-linear dynamics, and soft matter physics. Goehring's educational background includes a PhD from the University of Toronto on columnar joints (e.g., Giant's Causeway), followed by postdoctoral research at the University of Cambridge studying colloidal drying and cracking. He later habilitated while teaching at the University of Göttingen during his tenure as a research group leader at the Max Planck Institute for Dynamics and Self-Organisation. His research centers on complex fluids and solids – multi-phase materials where microscopic structure determines macroscopic properties. Key themes include: Mechanical instabilities (fractures, wrinkling, buckling) Geophysical pattern formation (salt polygons, columnar joints, mud cracks) Colloidal dispersion dynamics (drying paint, biogenic systems) Cross-scale physics connecting nano/micro to macro behavior This work addresses fundamental questions about structural emergence in nature, applying solid mechanics and complex systems theory to diverse phenomena from reptile scales to Martian permafrost. Analysis of his 15 most recent publications reveals dominant trends in porous media convection (salt lakes, dry soils), biophysical pattern formation (cyanobacteria mats), and colloidal drying mechanics . These span interdisciplinary fields including geophysics, soft matter physics, and active matter, with consistent focus on experimental validation through microfluidics and advanced imaging techniques. Goehring actively supervises PhD students including P.S. Atkinson (2024) and M. Emerse (2023), with research opportunities available in MPhil/PhD programs at NTU. His major international collaborations include Bernard Cabane (ESPCI ParisTech), Ran Holtzman (Hebrew University), Eleni Katifori (University of Pennsylvania), and Max Planck Institute researchers in biophysics. He maintains an affiliated position at the Max Planck Institute for Dynamics and Self-Organisation and serves on the editorial board of Proceedings of the Royal Society A , while leading an experimental lab focused on pattern formation in complex materials.

Yasanthi Kottegodaمشاهده پروفایل

دانشیار

• finite fields
• quadratic forms over finite fields
• algebraic coding theory
• +۱ مورد دیگر

Yasanthi Kottegoda serves as Associate Professor and Chair of the Department of Mathematics and Physics within the College of Arts and Sciences at the University of New Haven, where she has been a faculty member since 2014. Originally from Sri Lanka, she actively contributes to undergraduate mathematics education and research while co-directing the University of New Haven All Girls Summer Math Academy to promote female engagement in mathematics. Education: Ph.D. in Mathematics, Southern Illinois University Carbondale M.S. in Mathematics, Southern Illinois University Carbondale B.S. in Mathematics, University of Colombo, Sri Lanka Research Interests: Dr. Kottegoda specializes in finite fields with concentrated research on quadratic forms over finite fields. Her scholarly pursuits extend to algebraic coding theory and cryptography, reflecting her commitment to theoretical mathematics with potential practical applications. She integrates research with pedagogy, believing mathematics teaching is an art that simplifies complexity without trivializing concepts. Academic Leadership: Chair of Mathematics & Physics Department since appointment Co-founder and co-director of University of New Haven All Girls Summer Math Academy (2015–present) Active participant in undergraduate mathematics research initiatives

Kathleen Rondinoneمشاهده پروفایل

مدرس

• Mathematics Education
• STEM Education
• Mathematics
• +۲ مورد دیگر

Kathleen Rondinone serves as a Practitioner in Residence in the Department of Mathematics and Physics within the College of Arts and Sciences at the University of New Haven. Education: Ph.D. in Mathematics Education, University of Maryland, College Park Master of Arts in Mathematics, Central Connecticut State University Dr. Rondinone specializes in mathematics education with a focus on helping students overcome challenges in quantitative subjects. She has dedicated her career to improving student success in mathematics, particularly through her work in the Math Zone where she helps students fulfill their mathematics requirements. Her teaching philosophy emphasizes building student confidence and demonstrating that success in mathematics is achievable even with previously inaccessible concepts. Affiliations: Department of Mathematics and Physics, College of Arts and Sciences Math Zone teaching and support program Dr. Rondinone joined the University of New Haven in Spring 2013 as adjunct faculty in the Math Zone before advancing to her current Practitioner in Residence position. She actively participates in the ongoing improvements to the Math Zone and expresses enthusiasm for working with students who need to complete their mathematics requirements. Her approach centers on recognizing and nurturing the excitement students feel when they overcome mathematical challenges.

Brunetto Piochiمشاهده پروفایل

استاد مدعو

• Semigroup Theory
• Informatics
• Mathematics Education
• +۳ مورد دیگر

Brunetto Piochi is an Adjunct Faculty member at the University of New Haven, affiliated with the Department of Mathematics and Physics - Math. He works at the Tuscany Campus in Prato and serves as a Study Abroad Contact. Born in Florence (1951), graduated in Mathematics from the University of Florence (1973) Has over 40 years of teaching experience at Italian universities (Sassari, Siena, Florence) Author/co-author of 70+ books and publications His research focuses on Semigroup Theory , Informatics , and Mathematics Education for Students with Special Needs . He currently engages in teacher training and national/international math education projects. At the University of New Haven, he teaches Calculus I and provides tutoring through Mathzone. He has held guest lecturer roles and conducted study periods at multiple universities globally.