Find Academic Supervisors

• Mathematical morphology
• Fuzzy set theory and bipolar fuzzy sets
• 3D image interpretation and computer vision
• +7 more

Isabelle Bloch is a full Professor at Télécom Paris (Institut Polytechnique de Paris) and Emeritus Professor at the University of Bordeaux . She heads the Image, Modeling, Analysis, Geometry, Synthesis (IMAGES) research team within the Information Processing and Communication Laboratory (LTCI) in the Image, Data, Signal (IDS) Department . Education & Affiliations Professor – Télécom Paris, Institut Polytechnique de Paris (current) Professeure Émérite – University of Bordeaux (honorary) Research Interests Her work lies at the intersection of computer science, applied mathematics and medicine . Core themes include mathematical morphology , fuzzy and bipolar logics , 3-D image interpretation , discrete 3-D geometry & topology , information fusion , structural pattern recognition , spatial reasoning and medical imaging . Recent projects extend these concepts to explainable AI , argumentation theory , computational musicology and robotic surgery guidance . Scientific Awards Blondel Medal (2008) – awarded by the French Electrical & Electronics Engineering Society to outstanding young scientists. Grants & Collaborative Projects While specific grant numbers are not listed in the text, Prof. Bloch coordinates and participates in large-scale interdisciplinary projects funded by national (ANR) and European programs, spanning medical AI, pediatric oncology imaging, neuro-informatics and ethical AI. Labs & Teams She leads the IMAGES team (≈ 25 researchers) inside the LTCI – a joint research unit of Télécom Paris and CNRS. The group develops theory and open-source software in mathematical morphology, deep learning and symbolic AI, and collaborates closely with clinical partners at Necker–Enfants Malades Hospital, AP-HP and Gustave Roussy.

• Mathematics
• Lattice Theory
• Fuzzy Mathematics
• +3 more

Şerife Yılmaz is an Assistant Professor at the Department of Mathematics, Faculty of Science, Karadeniz Technical University. Her academic journey includes a PhD in Mathematics from Karadeniz Technical University (2011), a Master’s degree from Erciyes University (2004), and a Bachelor’s degree in Mathematics from Erciyes University (2002). Her research focuses on lattice theory, fuzzy mathematics, algebraic structures, and cryptography. She has contributed to triangular norms on lattices, fuzzy hyperstructures, and cryptographic methods. Her work spans over 27 publications, including articles in Information Sciences , Hacettepe Journal of Mathematics and Statistics , and Axioms . Educations: PhD in Mathematics, Karadeniz Technical University (2011) MSc in Mathematics, Erciyes University (2004) BSc in Mathematics, Erciyes University (2002) Research Interests: Triangular norms on bounded lattices Fuzzy hypermodules and subhyperstructures Cryptography using elliptic curves and matrices Algebraic hyperstructures and lattice theory Recent Contributions: Developed hybrid encryption methods combining RSA and elliptic curve-based matrices (2025) Explored lattice structures in multi-fuzzy soft sets (2025) Advanced filter theory in IL-algebras (2025) Awards & Grants: No awards explicitly mentioned. Active in academic service, including jury memberships in postgraduate evaluations (Giresun University, 2019) and university-level competitions in folk dances (2014–2016).

• Generalized Nets
• Intuitionistic Fuzzy Sets
• Decision Making Under Uncertainty
• +3 more

Assoc. Prof. Vassia Atanassova, PhD is an Associate Professor in the Bioinformatics and Mathematical Modelling Department at the Institute of Biophysics and Biomedical Engineering , Bulgarian Academy of Sciences. She holds a PhD in Informatics and Computer Sciences (2013) and has been actively contributing to generalized nets, intuitionistic fuzzy sets, and decision-making under uncertainty since 2002. Education : PhD in Informatics and Computer Sciences (2013), Institute of Information and Communication Technologies – BAS Master in Marketing (2009), University of National and World Economy Bachelor in Informatics (2004), Faculty of Mathematics and Informatics, Sofia University Her research focuses on intuitionistic fuzzy logic applications, generalized net modeling , and Wiki technologies for knowledge transfer . She has developed novel intuitionistic fuzzy operators and conducted extensive work on intercriteria analysis for complex systems. Recent publications emphasize fuzzy decision-making frameworks (2015-2019), with applications in Algorithm optimization Economic modeling Bioinformatics Medical data analysis Scientific Awards : Youngest Researcher Award 'Ivan Evstratiev Geshov' (2011) 2nd Award, VIII Youth Session of Federation of Scientific-Technical Unions (2010) She serves as Guest Editor for MDPI Mathematics and technical editor for international journals. Her teaching includes PhD-level courses on Wikipedia-based knowledge transfer and fuzzy set theory at Bulgarian universities.

Juan Vicente Riera ClapésView profile

Associate Professor

• Fuzzy Logic
• Decision Making Processes
• Artificial Intelligence
• +3 more

Dr. Juan Vicente Riera Clapés is an Associate Professor in the Department of Mathematics and Computer Science at the University of the Balearic Islands (UIB). He holds a Degree in Mathematics from the University of Salamanca and a PhD in Mathematics from UIB. Currently, he teaches courses in Primary Education and the Master's Degree in Teacher Training, focusing on Mathematics didactics, educational research, and practical placements. His research expertise lies in fuzzy logic, logic operators, discrete fuzzy numbers, and decision-making processes, contributing to the Soft Computing, Image Processing and Aggregation (SCOPIA) research group. He has published in international journals, reviewed for peer-reviewed publications, and organized conference sessions. He has directed multiple final year dissertations and master’s theses. His academic career includes two six-year research periods and three five-year teaching periods. Teaching roles span subjects such as 'Didactics of Mathematics,' 'Mathematics in Primary Education,' and 'Educational Research and Innovation.' He has been actively involved in teacher training programs as a coordinator, speaker, and participant. His office hours require prior booking, and he is based in Office 214 at the Anselm Turmeda campus. Professional affiliations include membership in UIB’s research groups and participation in academic networks. Despite holding a secondary school teaching position, he is currently on leave of absence.

Seyed Mojtaba SajadiView profile

Lecturer

• Simulation-Based Optimisation
• Applied Operation Research
• Artificial Intelligence and Meta-heuristic Algorithms
• +4 more

Dr. Seyed Mojtaba Sajadi is an Assistant Professor (Lecturer) in Operations and Supply Chain Simulation at Aston Business School, part of Aston University's College of Business and Social Sciences. He holds a PhD in Industrial Engineering from Amirkabir University of Technology and has extensive academic experience, including roles as Associate Professor and Assistant Professor at the University of Tehran (2010–2020), and Assistant Professor at Coventry Business School (2021–2022). His research focuses on simulation-based optimization in supply chain management, healthcare systems, and disaster management, leveraging techniques like Discrete Event Simulation (DES), Agent-Based Simulation (ABS), and metaheuristic algorithms. Education: PhD in Industrial Engineering, Amirkabir University of Technology MSc in Industrial Engineering, University of Tehran BSc in Industrial Engineering, Sharif University of Technology PGCert in Higher Education, Coventry University Research Interests: Simulation-Based Optimization Applied Operations Research Machine Learning Supply Chain and Production Optimization Healthcare and Disaster Management Editorial Roles: Associate Editor, Journal of Simulation (2023–Present) Editorial Advisory Board, Journal of Enterprise Information Management (2024–Present) Advising and Grants: Supervised over 20 PhD candidates, including current projects on disaster-resilient smart cities and Industry 4.0 in food sustainability. Active in securing funded research projects, such as an Aston PhD Studentship and a Saudi Government-funded initiative. Labs/Teams: Engaged in collaborative research across international institutions, including the Operational Research Society Simulation Workshop (SW25, 2025) and interdisciplinary projects in healthcare logistics and smart supply chains.

• Topological Dynamical Systems
• Ergodic Theory
• Classical and Quantum Stochastic Processes
• +3 more

Artur Siemaszko is a Professor in the Faculty of Mathematics and Computer Science at the University of Warmia and Mazury in Olsztyn. He serves as a promoter for doctoral candidates and specializes in topological dynamical systems, ergodic theory, and classical/quantum stochastic processes. Department: Department of Analysis and Differential Equations Email: artur@uwm.edu.pl Research Interests: Topological Dynamical Systems Ergodic Theory Classical and Quantum Stochastic Processes Group Theory (Modular Groups) Scientific Contributions: His research spans integrability in geometric structures, spectral quantization of random walks, and the interplay between algebraic and topological properties in dynamical systems. Articles highlight applications in mathematical physics, computer science, and epidemiology. Grants & Resources: He confirms funding availability and infrastructure support for doctoral projects through the Department of Analysis and Differential Equations.

• Project Management
• Production Engineering
• Logistics
• +6 more

Iwona Łapuńka is a University Professor at the Department of Management and Production Engineering within the Faculty of Production Engineering and Logistics at Opole University of Technology. Her academic career focuses on project management, production engineering, and logistics, with a strong emphasis on fuzzy logic applications, risk management, and Industry 4.0 systems. Role: Dean of the Faculty of Production Engineering and Logistics Key Research Interests: New Product Development (NPD) models, critical chain project management, hybrid manufacturing-service systems, and sustainable logistics Methodologies: AHP/fuzzy AHP, ordered fuzzy numbers, stochastic scheduling Her work addresses critical challenges in production planning, innovation implementation, and logistics efficiency, particularly in high-risk environments and cross-sector collaborations.

• Fuzzy Logic
• Aggregation Functions
• Logical Connectives
• +3 more

Dr. Juan Vicente Riera Clapés is a Full Professor at the University of the Balearic Islands in the Department of Mathematics and Computer Science. He also serves as a secondary school teacher but is currently on leave of absence. He teaches courses in Primary Education and the Master's Degree in Teacher Training, acting as an academic tutor for the latter. His research focuses on fuzzy logic, particularly aggregation functions, logical connectives, discrete fuzzy numbers, and decision-making processes. He is a member of the Soft Computing, Image Processing, and Aggregation (SCOPIA) research group, with publications in international scientific journals and contributions to over twenty national and international conferences. As a reviewer for leading journals in his field, he contributes to academic quality assurance. He has organized special sessions at conferences and actively participated in teacher training courses as a coordinator, speaker, and assistant. Additionally, he has supervised various undergraduate and master's theses, with two recognized six-year research periods and three five-year teaching periods. He is affiliated with the University of Salamanca (Bachelor's) and the University of the Balearic Islands (PhD). His teaching spans multiple programs, including Mathematics, Primary Education, and Teacher Training, with active involvement in curriculum design and academic tutoring.

Sergiy YakovlevView profile

Research Professor

• Combinatorial Optimization
• Geometric Design
• Computational Geometry
• +5 more

Prof. Sergiy Yakovlev serves as a Research Professor in the Department of Mathematical Modeling at University of Lodz, with room 167 and contact number +48 426313617. His extensive academic contributions span combinatorial optimization, geometric design, and artificial intelligence applications. His research interests focus on Combinatorial Optimization, Geometric Design, Computational Geometry, and AI in Public Health, with significant work in spatial configuration modeling and packing/covering problems. Recent publications demonstrate strong interdisciplinary connections between mathematical theory and practical applications in epidemiology and sensor networks. Analysis of his 15 most recent publications reveals a clear trend toward applying computational geometry and optimization techniques to public health challenges, particularly in modeling epidemic dynamics during the Ukraine conflict and developing AI frameworks for health misinformation detection. His work bridges theoretical mathematics with real-world crisis response systems. While no specific scientific awards are documented in the provided text, his publications appear in high-impact journals including Symmetry (70 points), Environmental and Climate Technologies (100 points), and Cybernetics and Systems Analysis. Prof. Yakovlev actively collaborates on epidemic modeling projects related to the Ukraine conflict, including migration impacts on COVID-19 dynamics and respiratory infection modeling in Kharkiv region. His work involves multiple international research teams across Poland, Ukraine, and Switzerland. He contributes to critical monitoring systems through his research on sensor network reliability for environmental emergencies and forest fire monitoring, with particular attention to failure analysis in hybrid network architectures.

Bernard De BaetsView profile

Professor

• Fuzzy Set Theory
• Machine Learning
• Cellular Automata
• +3 more

Bernard De Baets is a Senior Full Professor and Head of the Department of Data Analysis and Mathematical Modelling at the Faculty of Bioscience Engineering, Ghent University. He leads the Knowledge-based Systems research unit KERMIT. With interdisciplinary expertise in mathematics, computer science, and knowledge engineering, his research bridges fundamental and applied domains in biological sciences. His research integrates three core threads: Knowledge-based modelling for intelligent systems Predictive modelling using statistical and machine learning approaches Spatio-temporal modelling for dynamic systems analysis Specific domains include Fuzzy Set Theory, Cellular Automata, and hybrid AI methods with applications in environmental science, agriculture, and computational biology. He has authored over 550 peer-reviewed journal papers (accumulating ~25,000 citations) and earned multiple best paper awards. As Editor-in-Chief of Fuzzy Sets and Systems and editorial board member for several journals, he significantly contributes to the scientific community. Major honors include: Honorary Professor at Budapest Tech Doctor Honoris Causa (University of Turku) Professor Extraordinarius (University of South Africa) Fellow of the International Fuzzy Systems Association EUSFLAT Scientific Excellence Award

Angelo MingarelliView profile

Professor

• Celestial Mechanics
• Spectral Theory of Differential Operators
• Fuzzy Cellular Automata
• +5 more

Angelo Mingarelli is a Professor in the School of Mathematics and Statistics at Carleton University, Ottawa, Canada. He specializes in Differential Equations, Spectral Theory, and Fuzzy Cellular Automata, with contributions to Celestial Mechanics and Number Theory. His research explores topics such as asymptotic analysis of differential equations, inverse Sturm-Liouville problems, and the dynamics of cellular automata. Dr. Mingarelli has taught numerous courses, including Calculus for Engineers, Advanced Calculus, and Theory of Differential Equations, spanning over two decades at Carleton. His work bridges pure and applied mathematics, with a focus on theoretical foundations and their applications. His publications span over 50 peer-reviewed articles, emphasizing nonlinear differential equations, spectral analysis, and fuzzy systems. Recent trends in his work include asymptotic methods, inverse problems, and the mathematical modeling of dynamic systems. While no formal awards are listed, his extensive contributions to mathematical research and education reflect his expertise and dedication to academia. He maintains an active role in mentoring students and advancing interdisciplinary mathematical inquiry.

Mikael CollanView profile

Professor

• Decision Sciences
• Economics, Econometrics and Finance
• Business, Management and Accounting
• +10 more

Mikael Collan is a full tenured Professor of Strategic Finance at LUT University, School of Business and Management, Finland, where he leads the Finance and Business Analytics team. He previously served as Director General of the VATT Institute for Economic Research (2021–2024) and chaired the TULANET network of Finnish state research institutes. His academic and professional roles reflect deep engagement in both academic research and public policy. Doctor of Science in Economics and Business Administration, Åbo Akademi University (2004) His research focuses on decision-making under uncertainty, particularly in investment profitability analysis and strategic decision support for real investments. Key areas include real options valuation, fuzzy logic, and the Pay-Off Method—a framework he developed for practical application of real options in industries such as mining, energy, and R&D. His interdisciplinary work bridges finance, information systems, and innovation management. He has contributed to the design of master’s programs in Strategic Finance and Business Analytics, and has extensive teaching experience in corporate finance and entrepreneurship. His recent publications highlight a strong trend in fuzzy systems, energy economics, and strategic investment analysis. Articles span topics such as patent valuation under imprecise information, renewable energy policy, electricity market regulation, and digital manufacturing. His work increasingly integrates computational intelligence with real-world business and policy challenges. Scientific affiliations and memberships include: Member, Finnish Society of Sciences and Letters (since 2015) Board member, multiple national and international SMEs Active contributor to scientific organizations in decision sciences and fuzzy systems Mikael Collan has over two decades of experience in consulting, board-level governance, and strategic management systems development. He has advised Finnish industry on business architecture, IT strategy, and process optimization. His research has been supported by collaborations with institutions across Europe and has resulted in over 110 publications, including books and high-impact journal articles. He is a recognized expert in applying advanced decision models to complex industrial and policy problems. He leads research initiatives in: Finance and Business Analytics team at LUT Development of the fuzzy pay-off method and its applications Strategic decision support systems for long-term investments

• Functional Analysis
• Operator Theory
• Complex Analysis
• +5 more

Alejandro Miralles Montolio is an Associate Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, University of Valencia. His research is centered on functional analysis, operator theory, and complex analysis, particularly in infinite-dimensional settings. His research interests include: Functional Analysis, especially in Banach and Hilbert spaces Operator Theory, with a focus on composition operators Complex and Several Complex Variables, particularly Bloch functions and interpolating sequences Geometric and topological properties of function spaces Dynamical systems in nonautonomous settings His recent publications (2021–2023) continue his long-standing focus on interpolation in Bloch-type spaces, composition operators on function spaces over Hilbert and Banach unit balls, and structural properties of topological rings. The work consistently lies at the intersection of complex analysis and functional analysis, often exploring operator-theoretic properties of analytic functions in infinite dimensions. Key recurring themes include boundedness, invertibility, spectral behavior, and geometric structure. He has collaborated extensively with prominent mathematicians such as Pablo Galindo, Oscar Blasco, and Mikael Lindström. While no specific awards are listed, his sustained publication record in high-quality journals reflects recognition in his field. Miralles has contributed to significant results in interpolation theory, dynamical systems, and the geometry of Banach spaces. His work on sensitive dependence in nonautonomous systems and on renorming properties demonstrates breadth within his core mathematical domains. He is affiliated with the research group DRAFBE (Differentiability, Renormings and Analytic Functions on Banach Spaces). Contact information is available via his institutional email.

Jason RosenhouseView profile

Professor

• Algebraic graph theory
• Analytic number theory
• Recreational mathematics

Jason Rosenhouse is a Professor in the Department of Mathematics & Statistics at James Madison University (JMU), where he has been since 2003. His research focuses on algebraic graph theory, analytic number theory, and recreational mathematics. He holds a PhD in Mathematics from Dartmouth College (2000), an MA from Dartmouth (1997), and a BS from Brown University (1995). His work bridges theoretical mathematics with accessible topics, such as logic puzzles and their historical development. He has published in journals like Mathematics Magazine and Science and Education , exploring themes ranging from recreational problems to interdisciplinary debates in science. Though no awards are listed, his publications reflect a commitment to both rigorous scholarship and public intellectual engagement. His educational background includes advanced degrees from prestigious institutions, underscoring his academic credibility. While no specific advising or grant details are provided, his research interests suggest involvement in undergraduate research initiatives common in his department. No lab affiliations or teams are mentioned in the text.

• Number Theory
• Algebraic Geometry
• Adult Education
• +3 more

Alvanos Paraskevas is a Researcher at the Department of Mathematics, Aristotle University of Thessaloniki. His research interests span Number Theory, Algebraic Geometry, and Adult Education, focusing on Diophantine equations, computational methods in algebraic geometry, and educational technology for teachers. He has contributed to topics like Pell equations over number fields, Riemann-Roch spaces, and integral solutions of polynomial equations. His work bridges theoretical mathematics with practical applications in education and computation. Publications highlight advanced studies in number theory, including bounds for integral solutions and algorithmic approaches to algebraic curves. His work on adult educators' digital readiness reflects interdisciplinary engagement with educational technology. Though no formal awards or grants are listed, his research demonstrates sustained contributions to mathematical theory and pedagogy.