جست‌وجوی استاد و پژوهشگر

Jonathan Lee Merzelمشاهده پروفایل

استاد

• Valuation Theory
• Ordered Fields and Quadratic Forms
• Ducci Sequences
• +۳ مورد دیگر

Jonathan Lee Merzel is a Professor of Mathematics and Undergraduate Director of the Science and Mathematics Program at Soka University of America since 2000. Previously, he held academic positions at Holy Names College (now Holy Names University) and Mills College. He earned his PhD, MA, and BS from the University of California, Berkeley, and the University of Maryland, respectively. His research focuses on Valuation Theory, Ordered Fields, Quadratic Forms, and Ducci Sequences. Notable collaborations include work with Ron Brown on Ducci sequences and real places in algebraic function fields. He has contributed to journals such as Journal of Algebra , Homology, Homotopy and Applications , and Fibonacci Quarterly . Education: PhD (UC Berkeley), MA (UC Berkeley), BS (University of Maryland) Courses Taught: Liberal Arts Mathematics, Calculus I, Probability and Statistics, Linear Algebra Awards: Faculty Mentor Award (1988) Outside academia, Merzel enjoys bridge, skiing, biking with family, and practicing Chen Man Ching Style Tai Chi Chuan under teacher Lenzie Williams. He resides in Mission Viejo with his family.

• Pure and Applied Mathematics
• Algebraic Geometry
• Moduli Spaces
• +۴ مورد دیگر

Dr. David Alfaya Sánchez is an Associate Professor at the Department of Applied Mathematics, ICAI-Comillas, and an Associate Researcher at the Institute for Research in Technology (IIT). He holds a PhD in Mathematics from Universidad Autónoma de Madrid (2018), with prior degrees in Mathematics and Computer Science (both First National Prizes in their respective areas). His research integrates pure and applied mathematics, focusing on moduli spaces of decorated bundles (Higgs bundles, parabolic structures), Information Geometry, and AI-Math interactions. Education: PhD in Mathematics, UAM (2018) MSc in Mathematics and Applications (2014) MSc in Research & Innovation in ICT (2015) BSc in Mathematics (2013, First National Prize) BSc in Computer Science Engineering (2013, First National Prize) Research Interests: Algebraic Geometry: Moduli spaces of bundles, Higgs bundles, parabolic structures Information Retrieval & Geometry Blockchain technologies Applications of AI to mathematics His work bridges theoretical foundations (e.g., Torelli theorems) with computational tools (e.g., SymPy implementations). Grants & Projects: ERC Synergy Grant: Mathematicae Lingua Franca (2025–2031) Computational methods for moduli spaces (2023–2026) DLT-based distributed networks (2019–2020) Teaching & Innovation: Leads the Maths Team Contest (MTC), fostering collaborative problem-solving. Authored textbooks like Matemáticas Empresariales II and Habilidades Profesionales . Recent Publications: Focus on moduli spaces (e.g., Torelli theorems), AI applications (e.g., neural network sensitivity analysis), and symbolic computation (e.g., λ-ring simplifications).

• Mathematical Analysis
• Special Functions
• q-Calculus
• +۶ مورد دیگر

Professor Mehmet Açıkgöz is a distinguished mathematician at Gaziantep University, Faculty of Arts and Sciences, Department of Mathematics. His research spans various areas of mathematical analysis, special functions, and number theory, with a particular focus on q-calculus, p-adic analysis, and special polynomials. His educational background includes: Doctorate in Mathematics from Çukurova University (1991-1997) Master's degree in Mathematics from Çukurova University (1988-1991) Bachelor's degree in Mathematics from Çukurova University (1985-1988) Professor Açıkgöz's research primarily focuses on special polynomials, q-calculus, and p-adic analysis. He has made significant contributions to the study of Bernoulli, Euler, Genocchi, and Frobenius polynomials, often extending these classical concepts through q-analogs and degenerate versions. His work bridges pure mathematical theory with applications in probability, combinatorics, and approximation theory. He frequently collaborates with other prominent mathematicians in the field, particularly Serkan Araci and Ugur Duran. His publication record demonstrates a consistent output of high-quality research, with numerous articles in reputable international journals. His work shows increasing sophistication over time, moving from classical special functions to more complex degenerate and q-analog versions with probabilistic interpretations and applications to other areas of mathematics. Professor Açıkgöz has also contributed to educational materials, including course outlines for Calculus I and II, formula sheets for engineering students, and homework exercises, demonstrating his commitment to teaching alongside his research activities.

• Applied Probability
• Success flow and formation theory
• k-order distributions
• +۴ مورد دیگر

Antzoulakos Dimitrios is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Piraeus. His academic career spans over two decades, with progressive appointments from Lecturer (1998-2000) to Assistant Professor (2000-2006) and finally Associate Professor (since 2006). He has held significant administrative roles including Chairman of the Department (2013-2015) and Director of the Postgraduate Program 'Applied Statistics' (2013-2017). Dr. Antzoulakos earned his Degree (1986) and PhD (1990) from the Department of Mathematics at the University of Patras. His teaching portfolio includes undergraduate courses such as Probabilities I & II and Actuarial Life Event Models II, as well as postgraduate courses in Data Analysis, Survival Analysis, and Statistical Quality Control. His research focuses on Applied Probability with particular emphasis on success flow theory, k-order distributions, component reliability, control charts, composite distributions in risk theory, and Fibonacci applications. His work bridges theoretical probability with practical applications in quality control and actuarial science. His publications from 2001-2016 demonstrate a clear trajectory from theoretical probability distributions toward practical applications in quality control and reliability engineering, appearing in top journals including Journal of Applied Probability and Journal of Quality Technology. Dr. Antzoulakos serves as a reviewer for numerous prestigious journals including Journal of Applied Probability, Journal of Statistical Planning and Inference, and The Fibonacci Quarterly, demonstrating his standing in the academic community. He has authored textbooks on probability exercises and developed extensive university notes for courses in life insurance, survival analysis, and quality control, contributing significantly to educational resources in his field.

• Algebraic Number Theory
• Analytic Number Theory
• Cryptanalysis
• +۸ مورد دیگر

Carlo Sanna is an Associate Professor at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino, Italy. His research focuses on algebraic and analytic number theory, cryptography, and their intersections, particularly in post-quantum and public-key cryptographic systems. Research Interests : Algebraic Number Theory, Analytic Number Theory, Cryptanalysis, Post-Quantum Cryptography, Public-Key Cryptography, Discrete Mathematics. Teaching : He teaches Linear Recurrences (PhD level) and Advanced Cryptography (Master's level) at Politecnico di Torino, while also lecturing Linear Algebra and Geometry for Aerospace and Management Engineering. Publications : His recent work spans Fibonacci partitions, Lucas sequences, post-quantum cryptographic algorithms, and properties of linear recurrences. Supervised PhD Students : Leonardo Errati (Post-Quantum Cryptography, 2025) Giulia Salvatori (2024) Federico Accossato and Enrico Guglielmino (2022) Giuliano Romeo (2021-2025, p-adic continued fractions) Research Projects : Algebraic Methods in Cryptanalysis (2025-2027, Scientific Director) QUBIP (Quantum-oriented browser updates, 2023-2026, Scientific Head) SERICS Spoke 5 (Cybersecurity, 2023-2025, Scientific Manager) Email : carlo.sanna@polito.it

Carlos Martins da Fonsecaمشاهده پروفایل

استاد

• Combinatorial Matrix Theory
• Spectral Graph Theory
• Trigonometric Sums
• +۳ مورد دیگر

Carlos Martins da Fonseca (born 1968 in Figueira da Foz, Portugal) is a full professor at Kuwait College of Science and Technology with expertise in combinatorial matrix theory and spectral graph theory. His research spans multiple mathematical disciplines with significant interdisciplinary applications. Education: DSc in Mathematics (2016), Technical University - Sofia, Bulgaria PhD in Mathematics (1996-2000), University of Coimbra, Portugal BSc in Mathematics (1986-1991), University of Coimbra, Portugal Da Fonseca's research focuses on combinatorial matrix theory, spectral graph theory, trigonometric sums, and connections between abstract and linear algebras. His work demonstrates strong interdisciplinary applications across mathematical physics, computer science, and engineering disciplines. He serves as editor-in-chief of Special Matrices, a journal on structured matrices published by De Gruyter. Analysis of his recent publications (2023-2025) reveals a consistent research trajectory centered on matrix theory, graph spectra, and combinatorial sequences. His work frequently examines Sylvester-Kac matrices, Toeplitz structures, Fibonacci-type sequences, and their spectral properties. The research demonstrates sophisticated connections between combinatorial structures and algebraic properties. As editor-in-chief of Special Matrices, da Fonseca contributes significantly to the mathematical community through scholarly publication. His research program maintains active international collaborations, as evidenced by co-authored publications with researchers from multiple countries.

Sarita Nemaniمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Mathematics
• Graph Theory
• +۷ مورد دیگر

Sarita Nemani is a Professor of Mathematics at Georgian Court University, affiliated with the School of Arts, Sciences, and Education and the Department of Mathematics, Computer Information Systems, and Physics. She previously served as Chair of both the Mathematics & Computer Information Systems and Physics Departments from 2013 to 2019. Doctor of Philosophy (PhD) in Mathematics, University of New Brunswick, Canada Master of Philosophy (MPhil) in Mathematics, Indian Institute of Technology Bombay Master of Science (MS) in Mathematics, University of Bombay Bachelor of Science (BS) in Mathematics, Wilson College, University of Bombay Her research focuses on perturbation methods for linear systems with special matrices (banded, circulant, Toeplitz), parallel algorithms for computational efficiency, and graph theory (interlace polynomials, vertex magic labeling). She also explores mathematical education reform and curriculum innovation. Sarita’s recent publications highlight trends in algebraic stability analysis , graph labeling techniques , and high-performance matrix computation . Her work bridges theoretical mathematics with practical algorithmic implementations. She has designed undergraduate and graduate courses in linear algebra, differential equations, abstract algebra, and graph theory. Her leadership roles include directing the 'Girl Involved in Science and Technology' program (2010–present) and moderating the Georgian Court University Math Club and New Jersey Pi Mu Epsilon chapter.

Brian Hopkinsمشاهده پروفایل

استاد

• Combinatorics
• Number Theory
• Discrete Mathematics
• +۳ مورد دیگر

Brian Hopkins is a Professor of Mathematics at Saint Peter’s University in Jersey City, New Jersey. He holds a Ph.D. from the University of Washington and undergraduate degrees (B.S. and B.A.) from the University of Texas at Austin. His research focuses on combinatorics, number theory, and discrete mathematics, with notable contributions to partition theory, integer compositions, and combinatorial game theory. He is a 2015 recipient of the prestigious Haimo Award for Distinguished College or University Teaching from the Mathematical Association of America. Dr. Hopkins has authored over 20 research publications, edited three books, and presented globally. He served as editor of The College Mathematics Journal from 2014–2018 and contributed editorial work to multiple volumes on combinatorics and discrete mathematics education. His teaching philosophy emphasizes active learning strategies, such as group work and project-based learning, reflected in courses like Discrete Mathematics (MA-246) and Modern Algebra (MA-441). He has also engaged in outreach through book reviews on combinatorics and mathematical history, including works on Martin Gardner’s legacy and Euler’s combinatorial contributions. His research spans topics like Bulgarian solitaire variants, Garden of Eden states in combinatorial models, and enumeration modulo congruences. Beyond academia, he enjoys NYC cultural experiences with his husband and advocates for accessible mathematics education through pedagogical innovations documented in publications like Resources for Teaching Discrete Mathematics .

• Number Theory
• Cryptography
• Analytic Number Theory
• +۵ مورد دیگر

Carl Pomerance is a Professor in the Department of Mathematics at Dartmouth College. His research spans various areas of number theory, including analytic number theory, cryptography, and computational methods. He is renowned for his work on prime numbers, pseudoprimes, and the distribution of arithmetic functions. Pomerance has authored or co-authored numerous influential books, including Prime Numbers: A Computational Perspective , and has edited volumes on cryptology and computational number theory. His research interests include the study of arithmetic functions, such as Euler's totient function and Carmichael's function, as well as topics in algebraic number theory, combinatorics, and algorithms. Pomerance has delivered invited talks at major conferences and institutions worldwide, focusing on themes like additive number theory, multiplicative functions, and the interplay between number theory and cryptography. Key contributions include advancements in primality testing algorithms (e.g., the quadratic sieve), the study of Carmichael numbers, and investigations into pseudoprimes and their distribution. He has also explored topics such as covering congruences, elliptic curves, and the properties of algebraic numbers.

• Artificial Intelligence
• Cyber Security
• Quantum Cryptography
• +۱۳ مورد دیگر

Dr Mujeeb Ur Rehman is a Senior Lecturer in Computer Science at the School of Computer Science and Informatics, De Montfort University, UK. He has over 10 years of academic experience, having taught and researched at institutions including the University of Glasgow and York St John University. His work bridges artificial intelligence, cybersecurity, and digital healthcare, with a focus on secure and intelligent systems. PhD in Applied AI and Cyber Security MS in Engineering (Gold Medalist) BS in Engineering (Distinction) His research interests include Artificial Intelligence, Cyber Security, Quantum Cryptography, AI for Healthcare, Homomorphic Encryption, Zero-Knowledge Proof, Internet of Medical Things (IoMT), and Data Science. He applies machine learning and chaos theory to develop secure systems for healthcare, IoT, and post-quantum environments. The recent publications show a strong trend in hybrid security systems combining AI, chaos, quantum operations, and DNA encoding for medical data, IoT, and image encryption. His work emphasizes privacy-preserving models, lightweight cryptography, and robustness against noise and attacks. Best Paper Award, ICOTEN 2021 Best Paper Award, ICACIN 2021 Global Talent in AI and Cyber Security, Royal Academy of Engineering (UK), 2022 Distinction in BS Engineering Gold Medal in MS Engineering PhD Studentship Award Dr Rehman has successfully secured multiple research grants as Principal Investigator from Innovate UK, King Khalid University, and internal DMU funding. He has supervised numerous PhD, MSc, and undergraduate students. His consultancy includes projects with Abu Dhabi University and King Khalid University on UAV security and medical image encryption. He is actively involved in research groups including the Digital Research Communications and Responsible Innovations, Cyber Technology Institute (CTI), and Institute of Artificial Intelligence (IAI) at DMU.

• Number Theory
• Combinatorics
• Aperiodic Structures
• +۳ مورد دیگر

Julien Bernat is a Lecturer in Mathematics at the University of Lorraine, specifically at INSPÉ (National Higher Institute for Teaching and Education) of Lorraine, where he has held teaching and research positions since 2007. He is affiliated with the Analysis and Number Theory research team at IECL (Institut Élie Cartan de Lorraine), a joint research unit of CNRS and the University of Lorraine. Bernat's research centers on non-standard number systems, aperiodic structures, and word combinatorics. His work bridges theoretical computer science and pure mathematics, with significant contributions to β-numeration systems, substitution dynamics, fractal geometry of number representations, and combinatorial properties of infinite words. Key methodologies include geometric modeling of substitutions, analysis of aperiodic tilings, and computational approaches to Pisot number systems. His publication record from 2006-2011 reveals consistent focus on the intersection of number theory and discrete structures. Dominant themes include geometric interpretations of substitution systems, topological properties of β-integers, factor complexity of infinite words, and arithmetic operations in non-standard numeration. The research demonstrates strong connections between abstract combinatorics and concrete geometric realizations, particularly in fractal set theory. Beyond research, Bernat holds substantial educational responsibilities as coordinator for mathematics at INSPÉ's Nancy site and head of the M2 MEEF mathematics program. He actively develops mathematical outreach through the IREM group "games in the teaching of mathematics," creating innovative activities like "well-colored squares," "escape of the clones," and particle dynamics demonstrations that make advanced concepts accessible. His public engagement includes science festival presentations on mathematical paradoxes, knot theory, and societal roles of mathematics, alongside publications in outreach journals like "Découverte" and "le Petit Vert" covering polyominoes, quadrilaterals, and mathematical divination techniques.

Colin Campbellمشاهده پروفایل

مدرس ارشد

• Computational Group Theory
• Semigroup Theory
• Mathematics
• +۵ مورد دیگر

Colin Campbell is an Honorary Reader at the School of Mathematics and Statistics , University of St Andrews. His research focuses on computational group theory and semigroup theory, particularly the Todd-Coxeter coset enumeration algorithm, Reidemeister-Schreier algorithm, and their applications to Fibonacci groups and finite groups. Education: PhD (University of St Andrews), MSc (McGill University), MA (University of Edinburgh) Research Interests: Over four decades, Colin has investigated semigroup presentations, symmetric group presentations, and the efficiency of finite groups and semigroups. His work bridges theoretical and computational algebra, with recent studies on quasi-commutative inverse semigroups and Fibonacci-Lucas number relationships in group structures. Key Publications: His recent articles, such as An example of a quasi-commutative inverse semigroup (2024) and Groups St Andrews 2022 in Newcastle (2024), highlight his contributions to semigroup theory and computational algebra. Earlier works (2018-2020) emphasize conference organization, mathematical education, and algorithmic applications.

İlkay Güvenمشاهده پروفایل

استاد

• Differential Geometry
• Curve Theory
• Surface Theory
• +۳ مورد دیگر

Professor İlkay Güven is a faculty member in the Department of Mathematics at Gaziantep University's Faculty of Arts and Sciences, where she has served since 2011. She was promoted to Professor in 2022 after serving as Associate Professor (2018-2022) and Assistant Professor (2011-2018). Her academic career focuses on differential geometry, curve and surface theory, and special number sequences. Her educational background includes: Doctorate in Mathematics from Ankara University (2006-2011) Master's in Mathematics with thesis from Ankara University (2004-2006) Bachelor's in Mathematics from Ankara University (2000-2004) Professor Güven's research primarily centers on differential geometry with special emphasis on curve theory, surface classification, and special number sequences. Her work explores directional curves, spherical indicatrices, ruled surfaces, and their applications in various mathematical frameworks including Lie groups and alternative frame systems. She has made significant contributions to the understanding of W-direction curves, Bertrand curves, and the geometric properties of special number sequences like Fibonacci and Leonardo numbers. Her publication record shows a consistent focus on geometric structures with increasing specialization in directional curve theory and special number sequences. Recent work demonstrates sophisticated integration of algebraic structures with geometric analysis, particularly in the application of quaternions and dual numbers to curve theory. Her scientific achievements include: Public Domestic PhD Scholarship from TÜBİTAK (2006) Public Domestic Master's Scholarship from TÜBİTAK (2005) Professor Güven has actively mentored graduate students, supervising one doctoral thesis and nine master's theses to completion. Her advisees have explored diverse topics including hyper-dual spheres, polynomial space curves, and directional vectorial moment curves. While specific grant information isn't detailed in the provided text, her scholarship history suggests early career research support from Turkey's primary scientific funding agency.

Dawei Luمشاهده پروفایل

دانشیار

• Quantum Information Processing
• Nuclear Magnetic Resonance
• Quantum Control
• +۶ مورد دیگر

Dawei Lu is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he leads the Spin Quantum Computing Lab. He has been with SUSTech since August 2017, initially as an Assistant Professor before being promoted to Associate Professor in May 2019. His educational background includes: PhD in Quantum Information Physics (2012) from University of Science and Technology of China (Hefei National Laboratory for Physical Sciences at Microscale) BSc in Optical Information Science and Technology (2007) from University of Science and Technology of China (Special Class for Gifted Young) Professor Lu's research focuses on experimental quantum computing using spin systems, particularly nuclear magnetic resonance (NMR) and nitrogen-vacancy (NV) centers in diamond. His work spans quantum control, quantum simulation, quantum metrology, and quantum thermodynamics. He holds the world record for controlling the largest number of qubits (12) using NMR technology. His research group has made significant contributions to quantum algorithms, quantum simulation of complex systems, and quantum thermodynamics, with numerous publications in top journals including multiple papers in Physical Review Letters. Analysis of Professor Lu's recent publications reveals a strong focus on quantum thermodynamics, quantum simulation of complex systems, and quantum metrology. His work often combines theoretical advances with experimental implementations on NMR and NV center platforms. There's a clear trend toward exploring quantum advantage in thermodynamic processes, quantum machine learning applications, and topological quantum computing. Professor Lu has received several prestigious awards: 2020 Pearl River Recruitment Program of Talents (Youth) 2020 Peng Cheng Professor 2018 National 1000-Talent Youth Plan 2017 Overseas High-Caliber Personnel in Shenzhen (Peacock Plan) 2012 CAS Presidential Scholarship Professor Lu actively mentors students and has advised numerous PhD and Master's students who have gone on to successful careers in academia and industry. His research is supported by multiple grants from the National Natural Science Foundation of China and provincial/municipal funding agencies. He has published over 50 papers as first or corresponding author, including 15 in Physical Review Letters. At SUSTech, Professor Lu established the Spin Quantum Computing Lab in August 2017, which focuses on realizing physical quantum computers using spins. The lab has two main experimental platforms: NMR quantum computing and NV center quantum computing. The lab's research encompasses a diverse array of quantum technologies, including quantum control, quantum simulation, quantum machine learning, quantum metrology, and quantum thermodynamics.

• Mathematics Education
• History of Mathematics
• Special Matrices
• +۷ مورد دیگر

Sandra Ricardo is an Assistant Professor at the University of Trás-os-Montes and Alto Douro (UTAD), Portugal, with a strong academic foundation in Mathematics, holding a PhD from the University of Rouen, France, and a Master’s from the University of Coimbra, Portugal. She is actively engaged in research and educational projects with international impact. PhD in Mathematics, National Institute of Applied Sciences of Rouen, University of Rouen, France (2008) Master's in Mathematics, University of Coimbra, Portugal (2000) Her research interests include Mathematics Education, History of Mathematics, Special Matrices, k-Bronze Fibonacci Numbers, and Mechanical Control Systems. She emphasizes innovative teaching strategies and the integration of historical context into mathematical instruction. Her work bridges theoretical mathematics with practical applications in education and biomedical signal analysis. The most recent publications reflect a dual focus: one stream on advanced algebraic structures such as quaternion Gaussian Bronze Fibonacci numbers and matrix theory, and another on pedagogical innovations in teaching fractions, statistics, and problem-solving in early education. These works highlight her commitment to both pure mathematical research and transformative educational practices. Sandra is involved in significant international projects: TeachersMOD (Erasmus+, EACEA): Modernizing elementary school teacher training in Kurdistan (2023–2025) Mais Conhecimento Melhor Futuro (Calouste Gulbenkian Foundation): Enhancing math, Portuguese, and digital literacy in Guinea-Bissau (2022–2023) These initiatives aim to improve educational access and quality in underserved regions, focusing on curriculum development and teacher capacity building. Sandra has advised and collaborated on numerous research projects, particularly in mathematics education reform and control theory. While no formal list of advisees is provided, her publications indicate strong mentorship and collaborative leadership. She has not received publicly listed scientific awards in the provided text. She contributes to academic outreach through the CIIE (Center for Research in Educational Innovation) and LabDERE (Laboratory of Digital Experimentation and Research in Education), promoting digital tools and innovative pedagogies in educational settings.