جستجوی استاد راهنمای دانشگاهی

Michael Richard Johnsonمشاهده پروفایل

استاد آموزشی

• Industrial Organization
• Game Theory
• Graph Theory
• +۳ مورد دیگر

Michael Richard Johnson is a Teaching Professor in the Department of Mathematical Sciences at Worcester Polytechnic Institute (WPI). He holds a BS from Worcester State College (1998), an MS in Applied Mathematics from WPI (2001), and a PhD in Economics from Clark University (2012). His research focuses on Industrial Organization, Game Theory, and applications of Graph Theory and Probability to real-world problems. Education: BS, Worcester State College, 1998 MS in Applied Mathematics, Worcester Polytechnic Institute, 2001 PhD in Economics, Clark University, 2012 Johnson's research explores theoretical models for free and open-source software, including two-sided markets and code forking dynamics. He also developed methodologies for estimating fire spread probabilities using graph theory extensions of Dijkstra’s algorithm. He emphasizes technology integration in teaching, leveraging course-capturing tools from WPI's Academic Technology Center. His teaching spans undergraduate and graduate courses in Calculus, Statistics, and Probability, with a focus on student-centered learning. He was recognized in WPI's 2019 Faculty Promotions and Tenure Awards.

Stephan Sturmمشاهده پروفایل

دانشیار

• Financial Mathematics
• Stochastic Analysis
• Stochastic Volatility Modeling
• +۵ مورد دیگر

Stephan Sturm is an Associate Professor in the Department of Mathematical Sciences at Worcester Polytechnic Institute (WPI). He holds a PhD from the Technical University of Berlin (2010) and a BS/MS from the University of Vienna (2004). His research focuses on financial mathematics, stochastic analysis, and stochastic volatility modeling, with particular emphasis on portfolio optimization under incentive schemes and arbitrage-free pricing frameworks. He contributes to WPI's professional master's program in financial mathematics and advises students on theses and MQPs. His academic journey includes a postdoctoral position at Princeton University's Department of Operations Research and Financial Engineering. He has taught extensively at WPI and other institutions, covering topics like stochastic processes, financial risk management, and actuarial mathematics. His work bridges theoretical advancements in stochastic analysis with practical applications in financial engineering. Key research themes include XVA valuation (CVA/DVA/FVA), systemic risk analysis in financial networks, and optimal consumption-investment problems under market frictions. His publications address both foundational mathematical challenges and real-world market dynamics, often employing sophisticated stochastic calculus and numerical methods. Teaching highlights include courses on measure-theoretic probability, computational finance, and derivatives pricing. His contributions extend to curriculum development at WPI's IQP project centers in Asia, integrating financial mathematics with global industry challenges.

Marco Montaliمشاهده پروفایل

استاد

• Artificial Intelligence
• Process Science
• Business Process Management
• +۵ مورد دیگر

Marco Montali is a Full Professor in Computer Engineering at the Faculty of Engineering, Free University of Bozen-Bolzano. His research focuses on artificial intelligence, process science, and data-aware systems, emphasizing the integration of model-driven and data-driven techniques. He holds a BEng, MEng, and PhD from the University of Bologna. His work bridges AI, formal methods, and process mining, with over 250 publications and significant contributions to declarative process modeling and runtime verification. Education: BEng cum laude in Computer Science Engineering, University of Bologna (2003) MEng cum laude in Computer Science Engineering, University of Bologna (2005) PhD in Electronics, Computer Science and Telecommunications Engineering, University of Bologna (2009) Research Interests: AI and formal methods for process modeling Data-aware dynamic systems and process mining Runtime verification and declarative constraints Object-centric processes and multi-process systems Awards: 2015 Marco Somalvico Award (Best under-35 AI researcher in Italy) 10 Best Paper Awards and 2 Test-of-Time Awards Top 2% Most Cited Scientists (2023) Grants/Projects: Lead the PINPOINT PRIN project and contributed to EU projects like ACSI and Optique. Active in third-party collaborations, including Ontopic s.r.l., a semantic technologies startup. Labs/Teams: Director of the Artificial Process Intelligence (API) research group and co-founder of Ontopic s.r.l.

Benjamin Braunمشاهده پروفایل

استاد

• Algebraic Combinatorics
• Topological Combinatorics
• Geometric Combinatorics
• +۳ مورد دیگر

Benjamin Braun is a Professor of Mathematics at the University of Kentucky, serving as the Director of Graduate Studies in the Department of Mathematics (College of Arts & Sciences). His research focuses on geometric, algebraic, and topological combinatorics, with particular emphasis on polytopes, integer points in polyhedra, and combinatorial algebra. He also investigates interdisciplinary topics such as active learning, mathematics education, and the integration of critical theory (including feminist and reader-response perspectives) into STEM disciplines. His work bridges pure and applied mathematics, addressing areas like Ehrhart theory, flow polytopes, and social justice in education. He co-organizes the University of Kentucky Mathematics Community and Ethics Working Group, fostering dialogue on ethics and societal impacts in mathematical research. Braun’s contributions span over 50 peer-reviewed articles, with recent work emphasizing the intersection of mathematics with pedagogy and equity. Research interests include: Algebraic and topological combinatorics Mathematics education reform Interdisciplinary applications of combinatorics Notable research trends reflect his dual focus on foundational mathematics and educational innovation. Articles from 2023–2025 highlight studies on Ehrhart polynomials, flow polytopes, and the role of identity and belief systems in student success. His scholarship of teaching and learning emphasizes student-centered assessment and institutional support structures. Braun’s professional service includes leadership in graduate education and curriculum development. His website ( braunmath ) provides access to research, teaching materials, and collaborative projects.

Uwe Nagelمشاهده پروفایل

استاد

• Commutative Algebra
• Algebraic Geometry
• Algebraic Combinatorics
• +۳ مورد دیگر

Uwe Nagel is a Professor and Chair in the Department of Mathematics at the University of Kentucky, part of the College of Arts & Sciences. He holds a Ph.D. in Mathematics from the University of Paderborn (1990). His research focuses on Commutative Algebra, Algebraic Geometry, Algebraic Combinatorics, and Computational Mathematics. He has advised over a dozen doctoral students, including current advisee Michael Morrow and notable graduates like Aida Maraj (2020) and William Trok (2020). His work includes pioneering studies on Lefschetz properties, algebraic combinatorics, and computational methods in algebraic geometry. Notable contributions include investigations into Gorenstein liaison, syzygies of algebraic varieties, and applications of Gröbner bases. His research bridges pure mathematics with computational tools, as evidenced by his Maple procedure for computing S-minimal curves. Teaching spans advanced courses such as Nonlinear Algebra (MA 765), Linear Algebra (MA 565), and Modern Algebra sequences. He has coordinated Calculus I courses, emphasizing foundational instruction. His publications span over three decades, with recent works addressing Weak Lefschetz properties, Jacobian schemes, and equivariant Hilbert series.

Pavel Zatitskiiمشاهده پروفایل

استادیار

• Functional Analysis
• Harmonic Analysis
• Measure Theory
• +۳ مورد دیگر

Pavel Zatitskii is an Assistant Professor in the Department of Mathematical Sciences at the University of Cincinnati. His research focuses on functional analysis, harmonic analysis, measure theory, and their applications to martingale theory, Banach spaces, and metric geometry. He has made significant contributions to extremal problems in BMO spaces, monotone rearrangements, and the dynamics of metric structures in measure spaces. His work spans theoretical mathematics with applications to probability theory and astrophysics. Notable research includes studies on scaling entropy in dynamical systems, sharp inequalities for martingales, and the geometry of metric embeddings. Zatitskii’s publications appear in high-impact journals such as Journal of Functional Analysis , Indiana University Mathematics Journal , and Advances in Mathematics . Zatitskii collaborates with leading mathematicians including Leonid Slavin, Dmitriy Stolyarov, and Alexander Vershik. His research often bridges abstract functional analysis with concrete problems in probability and geometry, such as analyzing stationary measures in stochastic particle systems (TASEP) and the evolution of cometary nuclei shapes. While no awards are explicitly listed, his prolific publication record and collaborations suggest recognition within the mathematical community. His scholarly activities include exploring invariant measures in adic spaces and developing trace formulas for differential operators.

Betty Liمشاهده پروفایل

استاد مدعو

• Biomaterials
• 3D Bioprinting
• Microphysiological Systems
• +۷ مورد دیگر

Dr. Betty Li is an Adjunct Professor in the Department of Systems and Computer Engineering at Carleton University and a researcher at the Human Health Therapeutics Research Center. She holds a Ph.D. in Biomedical Engineering from the University of Western Ontario (2018), with prior degrees from Western Ontario (Master of Engineering Science, 2013) and the University of Toronto (Bachelor of Applied Science in Nanoengineering, 2011). Her research focuses on developing microphysiological systems, such as organ-on-chip models, using stem cells, 3D bioprinting, and biomaterials to advance preclinical drug discovery. Key research areas include biomaterials, biomechanics, and microfluidic design. Her recent publications (2023–2025) emphasize 6G networks, non-terrestrial networks (NTN), and AI-driven solutions for wireless communication challenges. She explores topics like federated learning in NTN, hemispherical antenna arrays for HAPS, and energy-efficient satellite IoT systems. Her work bridges biomedical engineering and telecommunications, addressing challenges in both fields. No scientific awards are explicitly mentioned in the text. She advises no listed students but collaborates on projects involving robotic aerial base stations and spectral efficiency optimization. Her lab work integrates interdisciplinary approaches for in vitro tissue modeling and sustainable network architectures.

Erwin Georgeمشاهده پروفایل

مدرس ارشد

• Computational Applied Mathematics
• Fluid Dynamics
• Numerical Analysis
• +۳ مورد دیگر

Dr. Erwin George is a Senior Lecturer in the School of Computing and Mathematical Sciences at the University of Greenwich. He holds a PhD in Computational Applied Mathematics from Stony Brook University (2003) and has held academic positions at SUNY Stony Brook, the University of Warwick, and the University of Edinburgh. His research focuses on fluid dynamics, numerical analysis, and mathematical biology, with notable contributions to turbulent mixing, inverse problems in biomedical imaging, and computational methods for complex systems. He is a Fellow of the Institute of Mathematics and its Applications (FIMA) and serves on the Mathematics Today Editorial Board. Education includes: B.A. Honours in Mathematics, University of Guelph (Canada) M.A. in Mathematics, Pennsylvania State University (USA) PhD in Computational Applied Mathematics, SUNY Stony Brook (USA) Research interests span fluid dynamics phenomena, mathematical modeling of biological systems, and numerical methods for solving transport and reaction equations. His work bridges theoretical analysis and practical applications in engineering and life sciences. Recent publications emphasize stochastic processes in structural dynamics and biomedical modeling. Awards include Fellowship of the IMA, reflecting his contributions to advancing mathematical sciences. Teaching expertise spans pure/applied mathematics, scientific computing, and statistics at undergraduate and postgraduate levels.

Amin Coja-Oghlanمشاهده پروفایل

استاد

• Probabilistic Combinatorics
• Mathematical Physics
• Disordered Systems
• +۲ مورد دیگر

Amin Coja-Oghlan is Professor of Efficient Algorithms and Complexity Theory at TU Dortmund University's Department of Computer Science. His research integrates probabilistic combinatorics, information theory, and statistical physics to solve fundamental problems in theoretical computer science. Education includes a doctorate in Mathematics (University of Hamburg, 2002) and habilitation in Computer Science (Humboldt University Berlin, 2005). Research advances understanding of phase transitions in constraint satisfaction problems, optimization landscapes, and random structures. Recent publications analyze SAT thresholds, group testing, and sparse matrix properties. Academic appointments include professorships at Goethe University Frankfurt and lectureships at Edinburgh and Warwick. Research contributions bridge discrete mathematics with computational complexity.

• Enumerative Combinatorics
• Graph Theory
• Random Graphs
• +۴ مورد دیگر

Juanjo Rué Perna is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), holding a position in the Department of Mathematics . He also serves as Director of the CFIS (Centre de Formació Interdisciplinària Superior). Previously, he was a Juniorprofessor (Assistant Professor) at Freie Universität Berlin (2013-2016), affiliated with the Combinatorics and Graph Theory group. His academic journey includes postdoctoral positions at ICMAT (Madrid, 2010-2013) and École Polytechnique (France, 2009-2010). Rué obtained his PhD in Discrete Mathematics from UPC in 2009 under Marc Noy, focusing on the enumeration of topological graphs. His research interests span Enumerative Combinatorics , Graph Theory , Random Graphs , and Additive Combinatorics , with notable contributions to planar maps and asymptotic analysis. He has supervised four PhD students, including Clément Requilé and Christoph Spiegel. He has organized major conferences like EUROCOMB 2021 and authored books such as El arte de contar: Combinatoria y enumeración and academic works on transcendental numbers. Rué's work bridges theoretical mathematics with applications in quantum gravity and statistical physics, emphasizing interdisciplinary approaches.

Georgia Karaliمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Stochastic Analysis
• Nonlinear Dynamics
• +۴ مورد دیگر

Georgia Karali is an Associate Professor in the Department of Mathematics at the National and Kapodistrian University of Athens, Greece. She previously held positions at the University of Crete, including Professor (2019–2024), Associate Professor (2013–2019), and Assistant Professor (2011–2013). Her research focuses on partial differential equations, stochastic differential equations, and multi-scale problems, with applications in phase transitions, nonlinear dynamics, and mathematical physics. Education: Ph.D. in Mathematics, University of Athens (2002; Advisor: Prof. N.D. Alikakos) M.Sc. in Mathematics, University of Athens (1999) B.Sc. in Mathematics, University of Athens (1997) Research Interests: Georgia's work spans stochastic and deterministic partial differential equations, with a focus on free boundary problems, phase-field models, and stochastic analysis. She explores phenomena such as interface dynamics, pattern formation, and singular perturbations, often bridging theoretical analysis with applications in materials science and mathematical biology. Recent projects include modeling financial systems through stochastic Stefan problems and investigating drug absorption kinetics using pharmacokinetic models. Grants & Leadership: Principal Investigator for multiple grants from the Hellenic Foundation for Research & Innovation, Greek Secretariat for Research & Innovation, and the EU Marie-Curie programs. Organized over 20 international workshops and conferences, including the Mathematical Challenges in Multi-Phase Materials (2009) and Advances in PDEs in Physics and Materials Science (2024). Affiliated with the Institute of Applied and Computational Mathematics (IACM/FORTH) in Heraklion, Crete. Professional Contributions: Her research has been published in top journals like Archive for Rational Mechanics and Analysis and SIAM Journal on Applied Dynamical Systems . She actively promotes interdisciplinary collaboration, co-authoring studies on pharmacokinetics and leading workshops on stochastic analysis and PDE applications.

Bernard Cornetمشاهده پروفایل

استاد

• Microeconomic Theory
• Financial Economics
• General Equilibrium Theory
• +۴ مورد دیگر

Bernard Cornet is the Oswald Distinguished Professor of Microeconomics at the University of Kansas, Department of Economics. His research focuses on microeconomic theory, financial economics, general equilibrium theory, dynamics, and optimization. He has contributed significantly to understanding hedging strategies, market frictions, arbitrage pricing, and nonlinear pricing rules in financial systems. His work spans theoretical economics, including studies on Pareto optimality, submodular financial markets, and risk-neutral probability measures. He has also edited special issues in honor of prominent economists like Nicholas C. Yannelis and Charalambos D. Aliprantis, highlighting his role in advancing academic discourse. His publications reflect a deep engagement with mathematical rigor and real-world financial applications, particularly in incomplete markets and asymmetric information models. Dr. Cornet’s research often bridges abstract economic theory with practical financial mechanisms, addressing topics such as utility maximization under constraints, equilibrium existence, and the implications of transaction costs. His work frequently appears in top journals, and he maintains an active presence in academic conferences and editorial roles.

Lee Jungمشاهده پروفایل

استاد

• Probability
• Statistics
• Math Education
• +۲ مورد دیگر

Dr. Lee Jung is a Professor in the Department of Electrical & Computer Engineering at The University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. Previously, she served as a tenured Associate Professor of Mathematics at Southern University, Baton Rouge, LA, before joining UT Dallas in 2009. Education: Ph.D. in Mathematics, Louisiana State University Research & Outreach: Her research focuses on probability, statistics, and math education, with a strong emphasis on accessibility. She co-founded Intellichoice , a Dallas-based nonprofit dedicated to free math tutoring for underprivileged K-12 students, aiming to enhance college readiness and career opportunities. This initiative led to her receiving the Ambassador of Diversity Award (2011) and the Community Hero Award (2015). Awards: IEEE EAB Meritorious Achievement Award (2017) Leadership & Impact: Dr. Lee’s work extends beyond academia, addressing systemic inequities in STEM education through grassroots programs. Her contributions have been recognized by the Office of Diversity and Community Engagement at UT Dallas and Tech Titans.

Shih-Ting Huangمشاهده پروفایل

استادیار

• Precision medicine
• High-Dimensional Statistics
• Deep Learning
• +۳ مورد دیگر

Shih-Ting Huang is an Assistant Professor in the Department of Bioinformatics and Biostatistics at the University of Louisville's School of Public Health and Information Sciences. Her research focuses on precision medicine, high-dimensional statistics, and deep learning applications in healthcare. She holds a PhD and is affiliated with the University of Louisville, located in Louisville, KY. Education : PhD in a relevant field (specific details not provided in text). Research Interests : Dr. Huang's work emphasizes statistical methodologies for personalized medicine, robust machine learning algorithms, and high-dimensional data analysis in biomedical contexts. Her recent studies include developing sample-specific learning models for medical imaging and enhancing deep learning through median-of-means techniques. Publications : Her research spans topics like robust deep learning frameworks, tuning-free statistical models, and mathematical foundations for biological data analysis. Her 2021 work on tuning parameter calibration for medical predictions highlights her focus on clinical applicability. Awards & Grants : No specific awards or grants are listed in the provided text. Labs/Teams : No specific lab affiliations or team details are mentioned.

Michael Rotaمشاهده پروفایل

استاد

• Philosophical Theology
• Ethics
• Metaphysics
• +۲ مورد دیگر

Dr. Michael Rota is a Professor in the Department of Philosophy at the University of St. Thomas' College of Liberal Arts. His research specializes in philosophical theology, metaphysics, and ethics, particularly examining intersections of faith and reason. Current projects include co-authoring a book on slavery and religion with sociologist Kevin Bales, and leading a Templeton Foundation-funded project on the psychology of faith. Research focuses on: Philosophical arguments for Christian faith (e.g., Pascal's Wager) Metaphysics of theism and divine attributes Free will and divine foreknowledge Moral psychology and social ethics Authored 'Taking Pascal's Wager: Faith, Evidence, and the Abundant Life' (2016), presenting arguments for Christian commitment. Co-organized the St. Thomas Summer Seminars in Philosophy of Religion (2010-2016). Teaches 'The Person and the Good' and other philosophy courses exploring ethical foundations, human personhood, and rationality of belief.