Find Academic Supervisors

• Kinetic Architecture
• Adaptive Systems
• Deployable Structures
• +5 more

Yenal Akgün is a Full Professor at the Department of Architecture, Dokuz Eylül University. He holds a BSc from Istanbul Technical University, an MSc from İzmir Institute of Technology (IZTECH), and a Ph.D. from the University of Stuttgart. His academic career includes roles as an Associate Professor at Yaşar University and a part-time lecturer. His research focuses on kinetic architecture, adaptive systems, deployable structures, and sustainable design integration. He has contributed to national and international workshops and serves as a reviewer for TÜBİTAK projects. Key research interests include scissor linkages, structural mechanisms, and disaster management planning. His work bridges architectural innovation with engineering principles, emphasizing sustainable development goals in education and design practices. He has advised 14 theses and participated in numerous architectural competitions, winning awards. His recent projects explore kinetic façade systems, deployable umbrellas, and online learning methodologies in architectural education. Awarded the Associate Professor title by YOK in 2017, he has also worked as an architect in municipal urban design and taught at multiple institutions. His contributions span academic leadership, practical design projects, and interdisciplinary collaborations.

Fabrizio MontecchianiView profile

Associate Professor

• Graph Drawing
• Graph Algorithms
• Computational Geometry
• +4 more

Fabrizio Montecchiani is an Associate Professor at the University of Perugia's Department of Engineering. He holds a Ph.D. in Computer Engineering from the same university (2014). His research focuses on graph drawing, algorithms, computational geometry, and information visualization with applications to Big Data. He coordinates the Large-scale Data Analysis & Visualization Lab (LDAV LAB), part of the national CINI Big Data Laboratory since 2019. Education: Ph.D. in Computer Engineering, University of Perugia, 2014 Research Interests: Graph Drawing and Algorithms Computational Geometry Visual Analytics and Information Visualization Algorithm Engineering for Big Data His work bridges theoretical foundations with practical applications in network visualization, data science, and algorithm design. Grants & Awards: Principal Investigator for MIUR, PRIN 2022 grant (NextGRAAL) Recipient of the 2022 National Scientific Habilitation for full professorship 2021 Best Young Italian Researcher Award in Theoretical Computer Science 2021 Best Paper Award at GD Teaching & Leadership: Lectures on Computational Models, Software Engineering, and Big Data Co-founder of CONTATTI Srl (2017), a spin-off for tourism-focused ICT solutions Editorial roles at Journal of Graph Algorithms and Applications and Computational Geometry His contributions extend to academic leadership, including organizing major conferences like GD and EuroCG. Technology Transfer: Co-founder of Vis4 Srl (2009), working on visualization solutions for financial and marketing domains Collaborations with institutions like the Financial Intelligence Agency (San Marino) and Fabrica (Benetton Group)

Gao JieView profile

Professor

• Algorithms
• Wireless Networks
• Social Networks
• +3 more

Jie Gao is a Professor of Computer Science at Rutgers University, serving as the Graduate Program Director. Her research focuses on algorithms, computational geometry, wireless networks, and social networks. She holds an office in Hill 411 and can be reached at jg1555@rutgers.edu. Her work emphasizes geometric algorithms, privacy-preserving techniques, and network optimization. Professor Gao teaches advanced courses such as Computational Geometry (CS529), Design and Analysis of Data Structures and Algorithms (CS513/CS514), and Introduction to Discrete Structures (CS205). Her courses blend theoretical foundations with practical applications in geometric computing and algorithm design. Her research group explores geometric algorithms, distributed systems, and privacy-preserving data analysis. Notable projects include developing efficient algorithms for unit-disk graphs, security game theory for patrol scheduling, and methodologies for interpreting health data from wearable devices. She actively contributes to the field through interdisciplinary collaborations, addressing challenges in both theoretical and applied computing domains.

• Optimal Transport
• Partial Differential Equations
• Functional Analysis
• +3 more

Simone Di Marino is an Associate Professor at the University of Genova, specializing in mathematical analysis and optimal transport. His research focuses on optimal transport theory, partial differential equations, and functional analysis, with contributions to calculus of variations and mathematical physics. Education: PhD in Mathematics (2014) Master's/Undergraduate Degree in Mathematics (2012) Research Interests: Optimal Transport with applications to physics and biology Analysis of PDEs (e.g., Fokker-Planck, Hele-Shaw models) Functional Analysis (Sobolev/BV spaces on metric measure spaces) Geometric Analysis (manifolds, metric geometry) Publications: Recent work includes advances in Wasserstein space algorithms, multi-marginal transport, and semiclassical limits. Key contributions address particle approximation, gradient flows, and convexity properties in quantum systems. Grants/Awards: Supported by the Simons Foundation. No explicit awards listed. Professional Activities: Organized conferences like 'Calculus of Variations and Free Boundary Problems' Co-organizer of workshops on optimal transport and machine learning

Nevzat YILDIRIMView profile

Professor

• Hydraulic Engineering
• Fluid Mechanics
• Vortex Dynamics
• +3 more

Prof. Nevzat YILDIRIM is a full-time Professor at Çankaya University's Department of Civil Engineering (since 2016) and previously held professorships at Gazi University (2001-2016) and other institutions. He holds a PhD in Hydraulic Engineering from The University of Iowa (1982), following a MSc from the same university (1978) and a BSc from Istanbul Technical University (1975). His research focuses on hydraulic engineering, particularly intake design, vortex dynamics, and fluid mechanics. He has advised over 14 graduate students on topics like critical submergence analysis and sediment transport. Research interests include optimizing intake systems, analyzing free-surface vortices, and understanding sediment transport mechanisms. His work bridges theoretical fluid dynamics with practical hydraulic engineering solutions. Notable contributions include developing equations for air-core vortex profiles and critical submergence criteria for multi-pipe intakes. Prof. YILDIRIM has over 30 peer-reviewed articles in journals like the KSCE Journal of Civil Engineering and Journal of Hydraulic Engineering . His collaborations with researchers like Kerem Taştan and Fikret Kocabaş highlight interdisciplinary approaches to hydraulic challenges. He has led projects on intake vortex mitigation and sediment impact studies. No specific awards are listed, but his extensive contributions to hydraulic theory and education are evident through his prolific publications and academic leadership roles.

Pawel GrzegrzolkaView profile

Teaching Professor

• Coarse Topology
• Proximity Theory
• Fuzzy Set Theory
• +3 more

Pawel Grzegrzolka is an Assistant Teaching Professor and Calculus Coordinator in the Mathematics Department at Syracuse University. He holds a Ph.D. in Mathematics from the University of Tennessee (2019), an M.S. from the same institution (2016), and a B.S. from Rockhurst University (2014). His research focuses on coarse topology, proximity theory, fuzzy set theory, and mathematics education. His scholarly contributions include articles on proximity spaces and fuzzy metric spaces, published in journals like European Journal of Mathematics and Fuzzy Sets and Systems. He has presented at conferences such as BUGCAT and the Workshop in Geometric Topology, addressing topics like asymptotic dimension and active learning strategies. Awards: Hoeffer Prize Mentoring Award (2022) Teaching: Coordinates Calculus courses (MAT 295, 296, 397) and has taught extensively since 2021. Service: MAT 295/MAT 296 Liaison for Syracuse University Project Advance (SUPA) and Calculus Coordinator since 2021. Grzegrzolka also engages in educational workshops, advocating for equitable grading practices and active learning methodologies.

Giuseppe SavaréView profile

Professor

• Mathematical Analysis
• Optimal Transport
• Gradient Flows
• +4 more

Giuseppe Savaré is a Full Professor of Mathematical Analysis at the Department of Mathematics, University of Pavia, and a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) since 2019. His research focuses on variational methods for evolution problems, including gradient flows, rate-independent models, nonlinear PDEs, and optimal transport theory in metric spaces. Education: PhD in Mathematics (1988) from University of Pavia. His work bridges optimal transport, metric measure spaces, and analysis in non-Euclidean geometries, with applications to PDEs, curvature bounds, and generalized gradient flows. Key contributions include foundational studies on Wasserstein gradient flows, entropy-transport problems, and abstract action spaces in dynamical systems. Scientific awards include the prestigious Ennio De Giorgi Prize (2011) and the Gioachino Japichino Prize (1994), alongside an invitation as a speaker at the 7th European Congress of Mathematics (2016). Collaborations with researchers like Massimo Fornasier and Alexander Mielke have advanced consensus-based optimization, multi-agent control, and quantum drift-diffusion models.

• Mathematical Statistics
• Stochastic Processes
• Discrete Mathematics
• +3 more

Priv.-Doz. Dr. Susanne Koch is a Senior Lecturer (Akademische Oberrätin) for Teacher Education in the Department of Mathematics at the University of Hamburg. She holds a PhD in Probability Theory from Georg-August-University Göttingen (2000) and has extensive experience in academic teaching and research. Her primary role involves teacher training in mathematics, focusing on bridging didactic and scientific aspects of problem-solving in education. Research Interests: Mathematical Statistics and Stochastic Processes Applications of Probability Theory in Education Discrete Mathematics and Stochastic Reasoning Development of Digital Tools for Mathematics Education Recent Research Trends: Her work combines foundational stochastic analysis with practical educational methodologies, emphasizing problem-solving frameworks for primary and secondary education. Key contributions include studies on Dirichlet forms, random walks, and pedagogical strategies for integrating advanced mathematical concepts into teacher training programs. Awards: Double Prize Winner of the 2006 Pilot Project for Teaching Excellence at Göttingen University. Advising & Grants: Leads academic advising in mathematics education, coordinating courses like 'Fachwissenschaftliche Hintergründe schulmathematischer Inhalte' and 'Grundkonzepte der diskreten Mathematik'. Active in curriculum development for teacher education programs. Lab/Team: Member of the ST Group (Mathematical Statistics and Stochastic Processes) at the Department of Mathematics, contributing to interdisciplinary research and educational innovation.

• Sub-Riemannian Geometry
• Mathematical Analysis
• Neurogeometry
• +3 more

Giovanna Citti is a Full Professor in the Department of Mathematics at the University of Bologna. Her research focuses on sub-Riemannian geometry, mathematical analysis, and neurogeometry, with a particular emphasis on modeling the functional architecture of the visual and motor cortices. She develops geometric frameworks to understand neural processing in the brain, including models of visual perception and motor control. Her work integrates concepts from differential geometry, partial differential equations (PDEs), and Lie group theory to analyze sub-Riemannian structures. She explores regularity properties of subelliptic PDEs and applies these to biological systems, such as the cortical organization of the visual cortex and motor pathways. Recent efforts include developing brain-inspired neural networks and studying neurogeometric models of stereo vision and 3D perception. Key contributions include sub-Riemannian models of perceptual completion, cortical-based optimal transport frameworks, and analysis of geometric optical illusions. Her research bridges pure mathematics and neuroscience, addressing challenges in both fields through innovative interdisciplinary approaches.

Rafael OliveiraView profile

Assistant Professor

• Computational Complexity
• Algebraic Geometry
• Optimization Algorithms
• +1 more

Rafael Oliveira is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science, conducting research from office DC 1313. His work explores fundamental connections between complexity theory, optimization, and geometry. Research spans: Algebraic complexity barriers Geometric combinatorics Efficient tensor algorithms Proof complexity frameworks His publications demonstrate consistent focus on mathematical foundations of computation , with recent advances in polynomial identity testing, interactive proofs, and geometric optimization. Article analysis shows recurring themes in algebraic complexity (40%), combinatorial geometry (30%), and optimization (30%).

Stavroula ZoiView profile

Researcher

• Interactive Multimedia
• Extended Reality (XR)
• Creative Technologies
• +3 more

Dr. Stavroula Zoi is a computer scientist and researcher at the Athens School of Fine Arts (ASFA), serving as a Laboratory Instructor (EDIP) since 2004. Her work bridges art, technology, and education, with expertise in Interactive Multimedia, Extended Reality (XR), and Creative Technologies. She holds a PhD from the National Technical University of Athens (NTUA) and leads projects such as the @postasis platform, a multiuser virtual space for collaborative artistic education and experimentation. Education: BSc in Computer Science, University of Ioannina (1997) PhD in Software Engineering, NTUA (2003) Research & Projects: Developed platforms like InBetween, Action Room II, and Global Earth Art Project. Coordinated the Erasmus+ @postasis program (2017–2020), fostering real-time artistic collaborations globally. Explores XR in art education, including postdoctoral research at the University of the Aegean (2023–present). Teaching: Teaches courses in VR, human-computer interaction, and digital art at ASFA’s Greek-French Master program and the Master in Digital Arts. Labs & Collaborations: Collaborates with Fournos Center for Digital Culture and its Fournos Lab, focusing on multimedia performances and experimental setups.

Brian HopkinsView profile

Professor

• Combinatorics
• Number Theory
• Discrete Mathematics
• +3 more

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 .

Riikka KangaslampiView profile

Lecturer

• Discrete Geometry
• Mathematics Education
• Graph Theory
• +3 more

Riikka Kangaslampi is a University Lecturer in the Computing Sciences department at Tampere University, affiliated with the Faculty of Information Technology and Communication Sciences. She holds a Doctor of Science degree and the title of docent in mathematics. Her research focuses on discrete geometry, mathematics education, and graph theory, with particular emphasis on interdisciplinary approaches combining mathematics with arts, architecture, and engineering education. Her research interests include discrete curvatures in graphs, student approaches to learning in engineering mathematics, and innovative pedagogical methods. She leads studies on instructional models, student-centered learning environments, and the psychological aspects of mathematics education. Collaborations involve multidisciplinary teams exploring connections between mathematics and creative fields. Recent work examines changes in student learning approaches during the pandemic, interdisciplinary group work dynamics, and the impact of different teaching methodologies. She contributes to both theoretical mathematics through graph curvature studies and applied educational research addressing practical teaching challenges in higher education. Her research groups include the Technology Supported Mathematics Education Research Group and the Algebra, Geometry and Topology Research Group. She actively publishes in education-focused journals like International Journal of Education in Mathematics, Science and Technology, and mathematics theory journals such as Communications in Analysis and Geometry.

Shira VielView profile

Associate Professor

• Mathematics Education
• STEM Education
• Diversity and Inclusion in STEM
• +3 more

Shira Viel is an Associate Professor of the Practice of Mathematics at Duke University since 2025. Her work focuses on introductory undergraduate mathematics education , with emphasis on classroom community dynamics , graduate teaching training , and equitable assessment policies . She serves on the Math Teaching Committee and Math Diversity, Equity, and Inclusion Team at Duke. Research Interests include: Undergraduate STEM student sense of belonging Diversity, Equity, and Inclusion in calculus sequences Graduate student teaching professional development Algebraic combinatorics (prior work) Recent Publications explore classroom community in quantitative courses, DEI implementation challenges, and assessment reform. Articles span 2016-2025 with focus areas in STEM education , inclusive pedagogy , and algebraic structures . Awards & Grants : NSF Award #2201486 (2023-0069 IRB Protocol) David L. Paletz Innovative Course Enhancements Grant (2024) Teaching for Equity Fellowship (2020-2021) Active Learning Faculty Fellowship (2019) Mentoring Activities include: Serving as SPIRE mentor (2020-present) AWM mentor (2019-present) Math Alliance Undergraduate Mentor (2020-present) Outreach initiatives involve organizing Duke Math Circles , speaking at Math Invitational for Girls , and leading workshops at FEMMES Capstone and Sonia Kovalevsky Day events.

• Computational Mechanics
• Fluid-Structure Interaction
• Solid Dynamics
• +12 more

Professor Antonio Gil is a faculty member at Swansea University within the Faculty of Science and Engineering , specifically in the Department of Civil Engineering . He graduated magna cum laude from the University of Granada (Spain) in 1999 and earned his PhD in computational analysis of non-linear structural membranes at Swansea University in 2005, winning the UK Society for Computational Mechanics best PhD paper in 2004. Education: Ingeniero de Caminos, Canales y Puertos (University of Granada, 1999); MSc in Computational Mechanics; PhD in Computational Mechanics (Swansea University, 2005) Research Interests span Computational Mechanics , Fluid-Structure Interaction , Finite Strain Modeling , and Soft Robotics , with a focus on physics-informed machine learning and multi-physics simulations. His work addresses challenges in electromechanical systems , cardiac mechanics , and high-strain dynamics . Recent Publications highlight advancements in SPH algorithms , topology optimization , and hyperelastic metamodels , reflecting his leadership in numerical methods and material modeling . These contributions have been recognized by prestigious awards including the Philip Leverhulme Award (2011) and the Olgierd Cecil Zienkiewicz Award (2016) . Scientific Awards: UK Philip Leverhulme Award (2011) Olgierd Cecil Zienkiewicz Award (2016) 1st National Award (Spanish Ministry of Education, 2000) Grants include coordination of the Erasmus Mundus PhD Program and leadership in H2020 Marie Curie ETN projects with budgets exceeding €6M. His supervision covers PhD projects in soft robotics , computational fracture , and MRI scanner design .