جست‌وجوی استاد و پژوهشگر

Kathy Hokeمشاهده پروفایل

استاد

• Mathematical Biology
• Discrete Mathematics
• Applied Mathematics
• +۵ مورد دیگر

Dr. Kathy Hoke serves as Professor of Mathematics and Mathematical Economics Program Coordinator at the University of Richmond's School of Arts and Sciences, with her office located in Jepson Hall (212A). She can be contacted via email at khoke@richmond.edu or by phone at (804) 289-8089. Her educational credentials include: Ph.D. from the University of North Carolina at Chapel Hill Dr. Hoke's research integrates discrete mathematics with biological and neurological applications. She develops mathematical models for games, voting systems, and communication graphs, with current emphasis on DNA analysis using Markov chains and Hidden Markov Models. Her collaborative work with VCU-CERSE and the McGuire Veterans Administration Medical Center focuses on quantitative detection methods for chronic mild traumatic brain injury in combat veterans. She has secured substantial research funding as co-PI and administrator for Howard Hughes Medical Institute Science Education grants, NSF-funded Mathematics LURE programs, and Clare Boothe Luce Foundation scholarships for women in STEM fields. Dr. Hoke pioneered curriculum integration through a five-discipline 'supercourse' and the SMART program, which combines first-year chemistry, biology, and calculus instruction to demonstrate interdisciplinary connections. Her active research team includes collaborators from the University of Richmond, VCU Center for Rehabilitation Sciences and Engineering, and the McGuire Veterans Administration Medical Center, driving innovation in quantitative neuroscience and educational methodology.

Mark Peletierمشاهده پروفایل

استاد

• Differential Equations
• Variational Calculus
• Mathematical Biology
• +۷ مورد دیگر

Mark Peletier is a Full Professor in Mathematics at the Technische Universiteit Eindhoven , affiliated with the Applied Analysis group, Institute for Complex Molecular Systems (ICMS), and EAISI Foundational. His research spans differential equations and their applications across biology, geology, chemistry, and physics, with significant contributions to variational calculus and non-equilibrium thermodynamics. PhD from Leiden University (1997) Worked at University of Bath (1997-1998) and CWI Amsterdam (1998-2004) Member of De Jonge Akademie (2006-2011) Research foci include: Hamiltonian systems and GENERIC structures Coulomb charge particle dynamics Quantum-classical nuclear coupling Neural stochastic differential equations Recent work demonstrates his interdisciplinary approach, combining mathematical rigor with applications in molecular dynamics and machine learning. His grant history includes prestigious VIDI (2003) and VICI (2011) awards from the Netherlands Organisation for Scientific Research.

Craig H. Jacksonمشاهده پروفایل

استاد

• Representation Theory
• Braid Groups
• Quantum Algebras
• +۶ مورد دیگر

Craig H. Jackson is a Professor and Interim Chair in the Department of Mathematics & Computer Science at Ohio Wesleyan University. He joined the faculty in 2009 after postdoctoral work at The Ohio State University. His teaching spans calculus, discrete math, algebra, and advanced topics like knot theory, representation theory, and topology, with a focus on interdisciplinary connections (e.g., algebraic topology, geometric representation theory). He co-teaches travel-learning courses to Alaska and the Caribbean, integrating fieldwork with mathematical modeling of climate and biological systems. B.S., University of Alaska, Anchorage M.S., The Ohio State University Ph.D., University of Chicago (Nilpotent Orbits in Semi-Simple Lie Algebras) His research bridges representation theory, braid groups, and quantum algebras with applications to mathematical biology, climate modeling, and cultural studies. Notably, he explores mathematical representations in non-mathematical texts like anime and film. Recent projects include a 2023 team-taught generative art course with Professor Jeff Nilan, featuring a digitally controlled Jacquard loom funded by the Thomas E. Wenzlau Grant (2022). He mentors undergraduate research, particularly in mathematical models of climate-glacier interactions, evolutionary game theory, and DNA abnormality detection. The articles reflect his interdisciplinary approach: 2020 work on ecological stability and weak interactions, 2013 climate-glacier models, 2012 analyses of identity in media through topology, and 2011 studies on braid group representations. His teaching emphasizes collaborative student seminars and projects, such as the 2015 Marine Biology and Math course in the USVI. His advising includes undergraduate honors projects on topics like DNA copy number variation, evolutionary game theory, and quantum computing. He actively engages in grants and projects, including the 2022 Wenzlau Grant for the digital loom, which integrates mathematics with fine arts.

• Materials Science
• Metallic Glasses
• High-Entropy Alloys
• +۷ مورد دیگر

Tero Mäkinen is a postdoctoral researcher at Aalto University's Department of Applied Physics, specializing in materials science and computational modeling. His work bridges disciplines like physics, rheology, and sustainable materials engineering. Key Affiliations: Aalto University, Complex Systems and Materials research group. His research focuses on: Mechanical properties of metallic glasses and high-entropy alloys Rheology of colloidal hydrogels and thermogelation processes Computational methods for material design and failure prediction Development of sustainable biobased foams and coatings Recent publications highlight his contributions to: Creep failure mechanisms in heterogeneous and amorphous materials Data-driven approaches for alloy phase prediction Open-source software tools for rheological analysis Green materials engineering using cellulose and lignin

• Control Systems
• Structural Systems Theory
• Biomedical Engineering
• +۵ مورد دیگر

Sérgio Pequito is an Associate Professor in the Department of Electrical and Computer Engineering at Instituto Superior Técnico, University of Lisbon, and a principal investigator at the Evolutionary Systems and Biomedical Engineering Lab (Institute for Systems and Robotics). His research bridges structural control systems theory with applications in neuroscience and biomedicine. Education: PhD in Electrical and Computer Engineering from Carnegie Mellon University and Instituto Superior Técnico (2014); MSc (2009) and BSc (2007) in Mathematics from Instituto Superior Técnico Research focuses on understanding large-scale systems through structural/parametric analysis, with applications to brain dynamics, personalized medicine, and control of complex networks. Key themes include fractional-order systems, distributed consensus, and brain-machine interfaces. Recent publications analyze fractional-order dynamical networks, controllability metrics, and privacy-preserving control algorithms, reflecting his expertise in both theoretical and applied domains. Keywords: Control Systems, Structural Theory, Biomedical Engineering, Neuroscience. Scientific recognition includes the 2016 O. Hugo Schuck Award (Theory Category) and a 2009 IEEE Conference on Decision and Control Best Student Paper Finalist. He leads interdisciplinary research teams and collaborates on neural engineering projects, particularly in epilepsy treatment and cortical activity modeling.

Declan Hillمشاهده پروفایل

دانشیار

• Match-fixing in sports
• Corruption studies
• Organized crime
• +۴ مورد دیگر

Declan Hill, D.Phil., serves as an Associate Professor in the Division of Government and Public Service within the Henry C. Lee College of Criminal Justice and Forensic Sciences at the University of New Haven. He is a renowned expert on match-fixing and corruption in international sports, with significant contributions to understanding the intersection of organized crime, gambling, and sports integrity. Dr. Hill will be on sabbatical during the 2025-26 Academic Year but remains available for media appearances. Dr. Hill earned his D.Phil. from Oxford University as a Chevening Scholar in 2008 and completed his B.A. at the University of Toronto. His academic credentials support his extensive field research on sports corruption, particularly his groundbreaking work on match-fixing networks. Hill's research focuses on the dangerous convergence of globalized gambling markets and sports corruption, with particular emphasis on match-fixing mechanisms, organized crime networks, and integrity threats to professional sports. His work examines how informal governance structures operate outside formal government channels, analyzing power dynamics within sports organizations. He employs both qualitative and quantitative research methods, adapting his approach to fit the specific research questions rather than forcing topics to match preferred methodologies. His publications reveal a consistent focus on the structural vulnerabilities within sports systems that enable corruption, with particular attention to risk assessment frameworks for identifying sports most susceptible to match-fixing. Hill's work demonstrates how globalization of gambling markets has created unprecedented threats to sports integrity, with sophisticated criminal organizations operating across international boundaries. As director of the University of New Haven's Sports Integrity Center, Hill has established the inaugural Noble Purpose for Sports Integrity Award, recognizing outstanding contributions to sports integrity. His center serves as a hub for research, education, and policy development related to sports corruption prevention. Hill actively engages with students through his Crime Waves podcast, where he interviews primary sources including prosecutors, criminals, journalists, and law enforcement officials. This practical application of his research provides students with direct exposure to real-world investigations and corruption cases. His work extends beyond academia into public policy, where he frequently advises governments and sports organizations on integrity issues. Through the Sports Integrity Graduate Certification program, Hill has created educational opportunities focused on combating corruption, doping, abuse, and match-fixing in the sports world. His leadership connects academic research with practical anti-corruption measures, bridging the gap between theory and practice in sports integrity.

• Formal Methods
• Model Checking
• Bisimulation
• +۹ مورد دیگر

Jeroen Keiren is an Assistant Professor in the Department of Computer Science at Eindhoven University of Technology (TU/e) , where he leads research in Formal Methods with a focus on Model Checking , Bisimulation , and Timed Systems . He is actively involved in the Formal System Analysis group , contributing to the development of techniques for verifying correctness in software and hardware systems. Education: Master's (2009) and PhD (2013) in Computer Science from TU/e Previous Roles: Postdoc at Vrije Universiteit Amsterdam (2013–2015), Assistant Professor at Open Universiteit (2015–2019) and University of Maryland (2016), Visiting Researcher at Radboud University (2015–2019), and Visiting Lecturer at TU Delft (2015–2019) His research emphasizes reducing model-checking complexity through bisimulation and parity games, with applications to industrial critical systems like UML state machines and medical devices. He is the principal investigator (PI) for projects in the Cordis SUITE framework. His work spans concurrent systems , parameterized models , and software/hardware verification . Recent publications highlight advancements in model-checking algorithms , timed modal logics , and industrial case studies (mechanical ventilators, packet networks). He contributes to the mCRL2 toolset and participates in industry-focused formal-methods initiatives. Committees: Chair of TU/e Computer Science Program Committee (2022–present), Secretary of Formal Methods Europe (FME) Industry Committee (2022–present), and roles in academic program and examination committees

• Graph Theory
• Network Analysis
• Mathematics Education
• +۳ مورد دیگر

Jana CORONIČOVÁ HURAJOVÁ serves as an Assistant Professor in the Department of Quantitative Methods at the Faculty of Economics and Finance, University of Economics in Bratislava. With the academic title RNDr., PhD, she contributes significantly to both teaching and research activities within her department. Her primary research interests focus on graph theory and mathematics education , with particular emphasis on network analysis and centrality measures. Dr. CORONIČOVÁ HURAJOVÁ has published numerous scholarly works examining betweenness centrality, decay centrality, and other graph theoretical concepts, while also exploring applications of quantitative methods in educational settings. Her publication record from 2015-2021 demonstrates consistent scholarly output across mathematics journals and interdisciplinary publications. Her research shows a clear progression from theoretical graph theory toward practical applications in business and educational contexts. Several publications examine centrality measures in networks, while more recent work investigates educational technology and business innovation in Slovak SMEs. Dr. CORONIČOVÁ HURAJOVÁ teaches various mathematics courses including Mathematics, Mathematics 2, Game Theory, and Mathematical Analysis. Her teaching portfolio reflects her dual expertise in theoretical mathematics and practical business applications. She has participated in research projects including KEGA 026EU-4/2021 focused on developing global business literacy for economics and management students, demonstrating her commitment to innovative educational approaches that bridge theoretical knowledge with real-world business applications.

• Mathematics
• Applied Mathematics
• Graph Theory
• +۵ مورد دیگر

Dr. Marius Buliga is a Professor of Mathematics and Director of Applied Mathematics at the University of Pittsburgh's Division of Physical and Computational Sciences. He contributes to both academic research and educational innovation, focusing on graph theory and mathematical software integration in undergraduate teaching. Ph.D. in Mathematics (2002) M.S. in Information Science (2002) M.S. in Computer Science (1995) B.S. in Computer Science (1994) His research spans graph theory , computational modeling for educational tools (Mathematica/Java applets), and interdisciplinary work in biomedical informatics and systems medicine . Recent publications analyze inflammatory responses in trauma/sepsis, postural control in Parkinson's disease , and combinatorial graph designs , demonstrating a multidisciplinary approach combining mathematics with clinical and computational applications. Dr. Buliga teaches undergraduate mathematics courses including Calculus, Linear Algebra, and Numerical Analysis. His work integrates algorithmic development with biomedical modeling , reflecting collaborations across disciplines.

Corban Harwoodمشاهده پروفایل

استاد

• Numerical Partial Differential Equations
• Mathematical Modeling
• Applied Mathematics
• +۵ مورد دیگر

Corban Harwood is a Professor of Mathematics and Chair of the Department of Mathematics at George Fox University. He teaches courses such as Calculus, Differential Equations, Numerical Methods, and Advanced Linear Algebra, integrating his research on numerical partial differential equations into pedagogy. His research focuses on developing and analyzing numerically stable algorithms for solving nonlinear and parabolic partial differential equations, with applications in chemical reaction-diffusion, wave propagation, and environmental modeling (e.g., algal blooms, disease spread). His work emphasizes minimizing computational errors and time while ensuring solution reliability. Key trends in his publications include interdisciplinary applications of mathematics, algorithm stability analysis, and pedagogical frameworks for project-based learning. He has also collaborated on models for battery design and ecological systems.

Floske Spieksmaمشاهده پروفایل

دانشیار

• Operations Research
• Stochastic Processes
• Decision Theory
• +۴ مورد دیگر

Floske Spieksma is an Associate Professor at the Mathematical Institute (Probability Theory) of Leiden University , where she has worked since 1985 in various roles including PhD researcher, Postdoc, Assistant Professor, and Associate Professor. Her research focuses on Stochastic Processes , Markov Decision Processes , and Operations Research , particularly in Queueing Theory and Network Optimization . She has supervised multiple PhD students including Herman Blok and Laurens Smit and co-organized international workshops. Education : PhD in Mathematics (1990), Leiden University MSc (cum laude) in Mathematics (1985), Leiden BSc in Mathematics (1981), Leiden BA in Spanish (1981), Leiden Research Trends : Her recent publications analyze unbounded jump rate Markov processes , graph resistance metrics , and stochastic decision frameworks . Key collaborations include work with M.N. Katehakis, L. Smit, and H. Blok. Scientific Awards : KNAW 5-year fellowship (1993) C.J.Kok prize (1991) Shell travel grant (1991) Two book grants (1984) Advising : Supervises PhD students and research projects, with past advisees including Herman Blok and Laurens Smit. Organized the H.E.T. Symposium (2012) connecting students with alumni in industry.

Jean-Baptiste Pometمشاهده پروفایل

استاد

• Nonlinear Control
• Nonlinear Stabilization
• Optimal Control
• +۳ مورد دیگر

Jean-Baptiste Pomet is a Directeur de Recherche (Research Director) at INRIA Sophia Antipolis - Méditerranée, holding a full-time senior researcher position. He leads the McTAO research team (Modélisation, Commande et Transport, Applications à l'Astronautique, à l'Optimisation et à la Médecine) and maintains strong affiliations with Université Côte d'Azur as evidenced by institutional logos and links on his webpage. Dr. Pomet's research focuses primarily on Nonlinear Control , with specific expertise in nonlinear stabilization, optimal control, equivalence and classification of control systems, and applications to aerospace engineering. His work spans theoretical foundations of control theory to practical applications in spacecraft trajectory optimization, micro-robotics, and hydrological modeling. He has developed significant contributions in areas such as flatness, dynamic equivalence, and averaging methods for oscillatory control systems. Analysis of his publication record from 2006-2021 reveals a consistent research trajectory centered around nonlinear control theory with increasing applications to specialized domains. Early work focused on fundamental theoretical aspects of control system equivalence and linearization, while more recent publications demonstrate expansion into micro-robotics (magneto-elastic micro-swimmers), marine navigation, and time-varying network stability. His research maintains strong connections between mathematical rigor and practical engineering applications, particularly in aerospace contexts. Throughout his career, Dr. Pomet has supervised numerous PhD students across diverse topics within control theory, including time-varying delay systems, magnetic micro-swimmers, orbital transfers with low-thrust propulsion, and controllability of bio-inspired systems. His supervision record spans from 1994 to 2020, demonstrating sustained mentorship activity over more than two decades. As team leader of McTAO, Dr. Pomet oversees a research group focused on modeling, control, and transport with applications to astronautics, optimization, and medicine. The team appears to maintain strong collaborative ties with aerospace engineering groups, as evidenced by publications on orbital transfers and spacecraft control. His research program integrates mathematical control theory with practical implementation challenges across multiple engineering domains.

• Functional Analysis
• Operator Algebras
• Set Theory

Betül Tanbay is a Professor of Mathematics at Boğaziçi University. She holds a Ph.D. in Mathematics from the University of California, Berkeley (1989), an M.S. from the same institution (1984), and a B.S. in Mathematics from Université Louis Pasteur, Strasbourg (1982). Her research focuses on Functional Analysis, Operator Algebras, and Set Theory. She has been actively involved in academic leadership, coordinating projects such as the TÜBİTAK-funded research networks: 'Mathematics Research Collaboration Network: Analysis, Geometry, and Applications' (TÜBİTAK-107T896) and 'Mathematics Collaboration Network: Algebra and Applications' (TÜBİTAK-107T897), both initiated in 2008. She regularly teaches advanced mathematics courses, including Math 101 (Calculus), Math 331 (Abstract Algebra), and graduate-level courses like Math 571 (Advanced Topics in Operator Algebras). No scientific awards are explicitly listed in the provided materials. Her academic service includes advising students (no names listed here) and maintaining an active research agenda in pure mathematics. The provided CV was last updated on January 9, 2023.

Himanshu Guptaمشاهده پروفایل

پژوهشگر ارشد

• Algebraic Graph Theory
• Combinatorics
• Graph Theory
• +۵ مورد دیگر

Himanshu Gupta is a PIMS Postdoctoral Fellow at the University of Regina's Department of Mathematics and Statistics under Dr. Shaun Fallat. He holds a Ph.D. from the University of Delaware (2023) and an M.S. from the Indian Institute of Science (2018). His research focuses on Algebraic Graph Theory, Combinatorics, and Spectral Graph Theory, with emphases on distance-regular graphs, eigenvalues, and combinatorial matrix theory. He has taught numerous undergraduate courses including Calculus, Linear Algebra, and Discrete Mathematics at both the University of Regina and University of Delaware. In 2022, he received the Baxter-Sloyer Graduate Teaching Award for excellence in teaching and course design. His service contributions include journal reviewing (e.g., Linear Algebra and its Applications ), organizing academic sessions (e.g., CMS Special Sessions), and co-chairing seminar series like the Hallenbeck Graduate Student Seminar. His work spans theoretical advancements and computational methods in graph theory, with applications to discrete mathematics and algebraic structures.

Ke Heمشاهده پروفایل

پژوهشگر

• Machine Learning
• Network Security
• Signal Processing
• +۳ مورد دیگر

Ke He is a prolific researcher with over 15 publications between 2008 and 2025, focusing on machine learning , network security , and signal processing . His work spans multiple domains including Massive MIMO systems , hyperspectral imaging , network intrusion detection , and human-computer interaction through capacitive touchscreen research. His recent publications highlight expertise in dynamic system modeling with applications to fractional-order financial risk systems and neurobiological models . He has pioneered graph-based intrusion detection techniques and 3D finger pose estimation methods. While his institutional affiliation isn't explicitly stated in the DBLP data, his collaborative work appears across institutions in China , Singapore , and Australia . Ke He's research interests intersect mathematical modeling , deep learning , and system optimization . He has contributed to underwater acoustic signal processing , edge computing , and robust antenna selection algorithms. His work demonstrates consistent application of nonlinear dynamics and topological data analysis to practical engineering problems.