جست‌وجوی استاد و پژوهشگر

Roberto Abrahamمشاهده پروفایل

استاد

• Galaxy Evolution
• Observational Cosmology
• Low Surface Brightness Universe
• +۵ مورد دیگر

Roberto Abraham is a Professor and Chair of the David A. Dunlap Department of Astronomy and Astrophysics at the University of Toronto, affiliated with the Faculty of Arts and Science. He holds a PhD from the University of Oxford (1992) and has conducted postdoctoral research at the National Research Council of Canada and Cambridge University. His research focuses on galaxy evolution, observational cosmology, and developing novel instruments like the Dragonfly Telephoto Array. He has led projects such as the Gemini Deep Deep Survey (GDDS), discovering high-redshift galaxies and pioneering automated galaxy classification systems (e.g., CAS and Gini-M20 parameters). Abraham has received prestigious awards including the Jackson-Gwilt Medal (Royal Astronomical Society), P. G. Martin Award, and Killam Research Fellowship. He has served on advisory boards for NASA’s James Webb Space Telescope and international observatories. His work combines observational astronomy with instrument innovation, addressing questions about galaxy morphology, dark matter content, and low-surface-brightness phenomena. He actively engages in public outreach, serving as Honorary President of the Royal Astronomical Society of Canada’s Toronto Centre. Abraham’s research group uses the Dragonfly Array to study ultra-diffuse galaxies and their dark matter properties, as well as leveraging JWST and Keck observations. His grants include funding from the Canada Foundation for Innovation for expanding the Dragonfly Spectral Line Mapper. He advises graduate students exploring galaxy evolution, instrument design, and computational astronomy techniques.

• Motion Planning and Robotics
• Computational Biology
• Parallel and Distributed Computing
• +۳ مورد دیگر

Nancy Amato is the Unocal Professor of Computer Science and Engineering (CSE) at Texas A&M University, co-directing the Parasol Lab. Her research focuses on motion planning, robotics, computational biology, and parallel computing. She has advised 16 PhD students and 25 master’s students, fostering academic and research careers. Recognized for teaching excellence, she received awards like the 2015 CSE Graduate Teaching Excellence Award and the 2013 Betty M. Unterberger Award. Her contributions to diversity in computing include the A. Nico Habermann Award (2014) for expanding underrepresented groups in research. She is an IEEE Fellow and AAAS Fellow for contributions to motion planning and computational biology. Amato earned bachelor’s degrees in economics and mathematical sciences from Stanford University and a master’s in CS from UC Berkeley, later studying under Franco Preparata at the University of Illinois. Education : Bachelor’s in Economics and Mathematical Sciences, Stanford University Master’s in Computer Science, UC Berkeley PhD Studies under Franco Preparata, University of Illinois Awards : 2013 IEEE Hewlett-Packard/Harriet B. Rigas Award 2014 A. Nico Habermann Award Fellow of IEEE and AAAS Grants/Advising : Directed over 160 students across PhD, master’s, undergraduate, and high school levels Co-developed the CRA-W Distributed Research Experiences for Undergraduates program Labs/Teams : Parasol Lab (focusing on parallel computing and robotics)

Polina Vytnovaمشاهده پروفایل

مدرس

• Dynamical Systems
• Ergodic Theory
• Fractal Geometry
• +۴ مورد دیگر

Polina Vytnova is a Lecturer in Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. Her research focuses on dynamical systems, ergodic theory, and fractal geometry, with particular emphasis on Lyapunov exponents, Hausdorff dimension, and hyperbolic geometry. She has collaborated extensively with experts like Mark Pollicott on topics ranging from Bernoulli convolutions to spectral properties of dynamical systems. Her work combines rigorous mathematical analysis with computational methods, addressing questions in both pure and applied contexts. Notable contributions include studies on Lyapunov spectrum inflections, dimension estimates for fractal sets, and applications to number theory. Vytnova’s research also intersects with geometric group theory, probability theory, and zeta function analysis. Her publications span high-impact journals such as Communications in Mathematical Physics and Advances in Mathematics. While no specific awards are listed, her collaborative projects and methodological innovations highlight her active role in advancing theoretical dynamics and geometry.

• Wage Inequality
• Labour Market Institutions
• Gender Economics
• +۳ مورد دیگر

Nicole Fortin is a Full Professor at the Vancouver School of Economics, University of British Columbia (UBC), where she teaches labour economics and empirical economics at graduate and undergraduate levels. She joined UBC in 1999 after a decade-long faculty position at her hometown institution, Université de Montréal. Her research program centers on three interconnected streams: (1) wage inequality dynamics and their relationship with labour market institutions and public policies, including higher education frameworks; (2) methodological innovations in decomposition techniques, notably the DFL reweighting decomposition and RIF regression methodologies published in Econometrica ; and (3) the economic progress of women, with seminal contributions analyzing gender role attitudes, career choice determinants (money versus people), and the obstructive role of top-earner gender disparity in closing pay gaps. These streams consistently integrate advanced econometric approaches with policy-relevant economic questions. Recent publications (2019-2024) demonstrate thematic continuity with expanding contemporary relevance, particularly through pandemic-related risk distribution analyses and persistent gender pay gap investigations. Her work maintains methodological rigor through decomposition frameworks while addressing urgent issues like right-to-work legislation impacts, federal service pay equity, and basic income program effects. The Canadian context remains prominent throughout her scholarship, especially in earnings inequality studies.

Christopher W. Brownمشاهده پروفایل

استاد

• Computer Algebra
• Quantifier Elimination
• Cylindrical Algebraic Decomposition
• +۴ مورد دیگر

Christopher W. Brown is a Professor in the Department of Computer Science at the United States Naval Academy, specializing in computational methods for semi-algebraic sets and computer science education. His research bridges theoretical computer algebra with practical applications in epidemic modeling and pedagogical tools, maintaining active contributions to symbolic computation since the late 1990s. His primary research focuses on cylindrical algebraic decomposition (CAD) and quantifier elimination, with significant extensions to projection operators, bi-equational constraints, and truth-invariant decompositions. He also develops educational software like RegeXeX for teaching regular expressions, demonstrating his dual commitment to theoretical advancement and practical pedagogy in computer science education. Analysis of his 13 publications (1998-2007) reveals sustained innovation in CAD efficiency, including reduced projection operators and complexity analysis, while expanding applications to epidemiological modeling and educational systems. His work consistently targets real-world usability, exemplified by the QEPCAD B software suite for industrial/scientific deployment of quantifier elimination. No scientific awards are documented in the provided materials. As a professor, Brown advises students and leads research projects, though specific mentoring details are absent. His development of RegeXeX demonstrates direct classroom integration of research, with studies confirming its effectiveness in reducing instructor intervention while improving student outcomes in formal language theory. Brown directs the QEPCAD project and associated tools (Tarski, webCal), creating an ecosystem for semi-algebraic set computation. These systems form the core of his research group's work, emphasizing both theoretical refinement (e.g., projection-definable CADs) and practical deployment in scientific computing contexts.

Dustin Mixonمشاهده پروفایل

دانشیار

• Applied Harmonic Analysis
• Mathematical Signal Processing
• Compressed Sensing

Dustin Mixon is Associate Professor of Mathematics at Ohio State University, specializing in applied harmonic analysis, compressed sensing, and frame theory. His research develops mathematical foundations for signal processing, including equiangular tight frames, optimal line packings, and phase retrieval guarantees. Recent work addresses max filtering injectivity, Euclidean distortion of orbit spaces, and clustering algorithms via semidefinite programming. Mixon has contributed to the theory of numerically erasure-robust frames (NERFs) and deterministic matrix constructions with the restricted isometry property. He co-authored papers on group-invariant packings and phase transitions in phase retrieval, solving open problems in combinatorial geometry. His blog 'Short, Fat Matrices' disseminates research on frame theory and compressed sensing.

• Mechanical Engineering
• Material Science
• Finite Element Analysis
• +۵ مورد دیگر

Professor Carl Labergere is a University Professor and Director of the LASMIS Research Unit (Laboratory of Mechanical & Material Engineering) at the University of Technology of Troyes. His research focuses on mechanical engineering and material science, with particular expertise in computational mechanics, material modeling, and manufacturing processes. He maintains an active research program with collaborations across multiple institutions as evidenced by his extensive publication record. Professor Labergere's research interests span several key areas in mechanical engineering and material science. His primary focus is on developing advanced computational models for predicting material behavior, particularly in the context of ductile damage, elastoplasticity, and metal forming processes. He has made significant contributions to the understanding of material failure mechanisms and has developed sophisticated numerical techniques for simulating complex manufacturing processes. His recent work has expanded into emerging areas such as 3D printing materials and nuclear waste containment applications. Analysis of Professor Labergere's recent publications reveals a strong trend toward increasingly complex multi-physics modeling approaches. His work consistently integrates mechanical behavior with thermal, chemical, and damage effects, reflecting the growing complexity of modern material systems. The research spans traditional manufacturing processes like metal forming while also addressing cutting-edge applications in additive manufacturing and nuclear safety. His publications demonstrate a progression from fundamental material modeling toward practical engineering applications that solve real-world industrial problems. Professor Labergere's research program demonstrates strong continuity and evolution over time. His early work focused on foundational aspects of material modeling and finite element methods, while his more recent publications address increasingly complex multi-physics problems with direct industrial applications. The consistent publication record across high-impact journals indicates sustained research productivity and relevance to the mechanical engineering community. As Director of the LASMIS Research Unit, Professor Labergere leads a team focused on mechanical engineering and material science research. The laboratory appears to maintain strong connections with industrial partners, particularly in manufacturing and nuclear sectors, as evidenced by the applied nature of the research topics. The research infrastructure likely includes advanced computational resources for finite element analysis and experimental facilities for material characterization and mechanical testing.

Joe Kileelمشاهده پروفایل

استادیار

• Algebra
• Applied Mathematics
• Data Science
• +۳ مورد دیگر

Joe Kileel is an Assistant Professor of Mathematics at the University of Texas at Austin, having joined the faculty in 2020 after his tenure at the Max Planck Institute for Mathematics in the Sciences (MPI MiS) from 2017 to 2022. At MPI MiS, he was a core member of the Nonlinear Algebra research group, contributing to interdisciplinary projects at the intersection of geometry and complex systems. His research leverages algebraic structures to solve critical problems in applied mathematics and data science, with dual emphases on computational structural biology and tensor decomposition methodologies. Key innovations include reconstructing 3D molecular structures from noisy 2D imaging data and developing accelerated algorithms for low-rank tensor computations, bridging theoretical algebra with real-world data analysis challenges in biomedical and engineering contexts. Kileel's work at MPI MiS established him in the nonlinear algebra community through collaborations on geometric modeling and complex systems, while his current role at UT Austin expands these efforts into scalable data science applications. His methodology consistently transforms abstract algebraic frameworks into practical computational tools for high-dimensional data problems.

• Computational Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +۴ مورد دیگر

Dr. Arash Ghasemi serves as an Adjunct Faculty member in the Department of Engineering Management and Technology within the College of Engineering and Computer Science at the University of Tennessee at Chattanooga (UTC). His academic role bridges computational mathematics and engineering applications through teaching and research activities focused on advanced numerical methods. His research spans computational mathematics, numerical analysis, and scientific computing with emphasis on high-order spectral/finite element methods, mesh generation, and preconditioning techniques. Key application areas include computational fluid dynamics (particularly compressible flow), structural engineering (crane mechanisms, non-destructive testing), climate modeling for infrastructure, and electromagnetic simulations. His methodological innovations consistently target improved accuracy, efficiency, and stability in engineering computations across civil, mechanical, and aerospace domains. Dr. Ghasemi's publication trajectory from 2006 to 2024 reveals sustained contributions to computational methods. Early work established foundations in wireless sensor networks for infrastructure and high-order ODE solvers, while his 2016 'spectral hull' breakthroughs revolutionized degree-of-freedom reduction in conservation laws. Recent publications (2021-2024) demonstrate expanding applications in polynomial approximation, data interpolation, and climate modeling, maintaining his signature focus on mathematical rigor coupled with practical engineering impact across fluid dynamics, structural mechanics, and environmental systems.

• Group Theory
• Finite Group Theory
• Geometric Group Theory
• +۳ مورد دیگر

Robert Heffernan is a Lecturer in the Department of Mathematics at Munster Technological University (MTU), located in Bishopstown, Cork, Ireland. His research focuses primarily on group theory, with early work centered on finite group theory, including commuting probability, p-groups, automorphisms, and character theory. More recently, his interests have expanded into geometric group theory. He has presented at several conferences, including the IMS September Meeting 2020 and the WIT Mathematics and Physics Seminar. His research often involves collaborative efforts with colleagues such as D. MacHale and B. McCann, exploring topics like minimal embeddings of finite groups and commutativity ratios in finite groups. Dr. Heffernan's publications span a range of journals including the Mathematical Gazette, Bulletin of the Irish Mathematical Society, and International Journal of Group Theory. His work frequently addresses theoretical problems in group structure, representation, and commutativity, with recent contributions to prime-producing polynomials and conjecture analysis in number theory. Despite his extensive publication record, no scientific awards are explicitly mentioned in the provided texts. His research trends emphasize both foundational group theory and its intersections with number theory and geometric approaches. Advising and grant activities are not detailed here, but his involvement in academic seminars and collaborative projects highlights active engagement in the mathematical community.

Demetres Christofidesمشاهده پروفایل

دانشیار

• Combinatorics
• Random Graphs
• Extremal Graph Theory
• +۱۰ مورد دیگر

Dr. Demetres Christofides is an Associate Professor in Mathematics and Course Leader of BSc (Hons) Mathematics & Statistics at the University of Central Lancashire Cyprus (UCLan Cyprus). He holds a PhD in Mathematics from the University of Cambridge (2008), alongside advanced qualifications from Cambridge including a BA (2003), MA (2007), and Certificate of Advanced Study in Mathematics (2004). Affiliations: School of Sciences, Department of Mathematics. Administrative Roles: Former Senate Member (2015–2020), Deputy Head of School (2017–2018), and Academic Standards Lead (2017–2020). Research Interests: Focuses on combinatorics, including random graphs, extremal graph theory, positional games, and algorithmic graph theory. His work spans Hamilton cycles, Cayley graphs, information theory, and structural graph properties. He has contributed to over 10 peer-reviewed publications in journals like Journal of Combinatorial Theory and SIAM Journal on Discrete Mathematics . Funding & Grants: Secured research grants from the Cyprus Research Promotion Foundation and the EPSRC, including projects on extremal combinatorics and graph algorithms. Awards: Smith Prize (University of Cambridge). Outreach: Trains Cypriot Mathematical Olympiad teams, creates problems for international competitions (e.g., IMO Shortlist 2020), and co-authored a training book for high-school mathematics competitions. Teaching: Leads and teaches modules across all undergraduate years, including Real Analysis, Algebra, and Complex Analysis. Previously taught at Charles University, Warwick, and Birmingham.

• Business Informatics
• Software Engineering
• Microservices
• +۲ مورد دیگر

Heimo Stranner serves as a PreDoc Researcher at the Institute of Business Informatics, Faculty of Informatics, TU Wien. His work bridges software engineering and business informatics, with a focus on microservices and industrial applications in automotive and healthcare sectors. He holds a Bachelor of Science and a Diplom-Ingenieur (Master's equivalent) degree. His diploma thesis, completed at TU Wien in 2020, investigated microservice decomposition in automotive software migration. Stranner's research centers on software architecture evolution, particularly microservice adoption in industrial settings. He explores critical challenges in software migration and the integration of AI, such as ML and LLM, in healthcare information systems, aiming to improve electronic patient record interactions in hospitals. His key publication, a 2020 case study presented at ENASE, analyzes microservice decomposition in automotive software systems, contributing insights to software engineering practices for large-scale industrial migrations. Currently, Stranner leads a project (2025-2026) with Dierks+Company Consulting GmbH, evaluating the criticality of AI support in hospital ePA systems, highlighting his expanding research into healthcare IT.

Neha Lodhaمشاهده پروفایل

پژوهشگر

• Algorithms and Complexity
• Graph Theory
• SAT/SMT Solving
• +۳ مورد دیگر

Neha Lodha is a researcher in the Institut für Logic and Computation at TU Wien. Her work focuses on algorithms, complexity theory, and SAT/SMT solving techniques. She has contributed to graph encodings for combinatorial optimization problems and parameterized complexity analysis. Key research areas include SAT-based approaches for graph decomposition (branchwidth, treewidth), SMT methods for fractional hypertree width, and algorithm engineering for constraint satisfaction problems. Her work bridges theoretical foundations with practical algorithmic implementations. Notably, she received the 2016 SAT Conference Best Student Paper Award for her work on SAT encodings of branchwidth. This research was later expanded into a 2019 ACM Transactions publication. Her publications span conferences like IJCAI, CP, and SAT, with a focus on advancing the theoretical and practical aspects of computational logic and algorithm design.

Constantia Alexandrouمشاهده پروفایل

استاد

• Lattice Quantum Chromodynamics
• Hadron Structure
• High Performance Computing
• +۴ مورد دیگر

Professor Constantia Alexandrou is a distinguished physicist at the Department of Physics, School of Natural and Applied Sciences, University of Cyprus. She leads state-of-the-art research in Lattice Quantum Chromodynamics and hadron structure, heading the Lattice QCD Computational Lab at the university. Professor Alexandrou serves as Chair of the Council of PRACE (Partnership of Advanced Computing in Europe), is a member of multiple prestigious scientific councils including the National Council for Research in Greece and the Helmholtz-Institute Mainz, and represents Cyprus at IUPAP. B.A. in Physics with First Class Honors from University of Oxford (1980) Ph.D. in Theoretical Strong Interactions Physics from MIT (1985) Research positions at Paul Scherer Institute, Switzerland and Erlangen University, Germany Professor Alexandrou's research focuses on Lattice Quantum Chromodynamics, hadron structure, and high-performance computing applications in theoretical physics. Her work bridges fundamental particle physics with advanced computational techniques, particularly in studying nucleon properties and quantum chromodynamics from first principles. She has pioneered methods for calculating parton distribution functions, hadronic vacuum polarization, and nucleon spin decomposition using lattice techniques, contributing significantly to our understanding of strong interaction physics. Her recent work has expanded into quantum computing applications for high-energy physics problems. Analysis of Professor Alexandrou's recent publications reveals a consistent focus on advancing lattice QCD methodologies for calculating fundamental properties of hadrons and nucleons. Her work spans both traditional lattice calculations and emerging quantum computing applications, demonstrating leadership in adapting computational physics to new technological frontiers. The publications show particular emphasis on precision calculations of nucleon structure, hadronic contributions to fundamental constants, and developing non-perturbative methods for quantum field theory. Fellow of the American Physical Society Principal Investigator of three European Joint Doctorates (approximately €3.7 million each) Principal Investigator of Excellence Center Quantum Computing for Science and Technology (QSciTec) under Teaming action (€35 million) Professor Alexandrou has secured approximately €15 million in competitive funding for the Computational-based Science and Technology Research Center of the Cyprus Institute, including two ERA Chair projects of €2.5 million each. She has served as the first Head of the Department of Physics at the University of Cyprus and held leadership positions at the Cyprus Institute from 2004-2022. With over 300 scientific publications and numerous invited talks at international meetings, she has organized several workshops in Cyprus and abroad, significantly contributing to the international lattice QCD community through the Extended Twisted Mass Collaboration (ETMC). She heads the Lattice QCD Computational Lab at the University of Cyprus, which operates dedicated computing clusters for lattice QCD calculations. As a member of the Extended Twisted Mass Collaboration (ETMC) - comprising major European and US research groups - she plays a key role in advancing international collaboration in computational particle physics. Her leadership extends to multiple scientific advisory bodies where she influences research directions in high-performance computing and theoretical physics across Europe.

Bryna Kraمشاهده پروفایل

استاد

• Ergodic Theory
• Dynamical Systems
• Combinatorics
• +۲ مورد دیگر

Bryna Kra is the Sarah Rebecca Roland Professor of Mathematics at Northwestern University, where she has served as Department Chair (2009–2012) and currently holds roles including President of the American Mathematical Society (2023–). She joined Northwestern as an Associate Professor in 2004 after faculty positions at Pennsylvania State University and postdoctoral roles post her 1995 Stanford PhD. Her research focuses on ergodic theory and dynamical systems, particularly their intersections with combinatorics and number theory. Kra founded the Graduate Research Opportunities for Women (GROW) program, recognized by the AMS for promoting women in mathematics. Her research interests include nilsequences, combinatorial recurrence, and structural properties of dynamical systems. Recent work addresses problems like Erdos’s B+B+t conjecture and infinite sumset configurations, leveraging ergodic methods. Kra has authored over 50 papers, including foundational contributions on nilsystems and uniformity seminorms. Awards: Simons Fellow (2016, 2021), National Academy of Sciences member (2019), AMS Levi L. Conant Prize (2010), and Fellowships from AMS and American Academy of Arts and Sciences. Editorial Roles: Mathematical Surveys and Monographs (AMS), Ergodic Theory and Dynamical Systems (journal), and others. Leadership Initiatives: Expanding Dynamics conferences, GROW program, and mentorship in mathematics education.