Rotation-Minimizing Frames Professors and Supervisors

Bo P WangView profile

Professor

University of Texas at ArlingtonUnited States

Bo P Wang is a Professor in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington's College of Engineering. With a distinguished career spanning several decades, he has established himself as an expert in computational mechanics and structural dynamics with significant contributions to design optimization, vibration analysis, and finite element methods. Dr. Wang received his PhD in Aerospace Engineering from the University of Virginia in 1974, following an MS in Mechanical Engineering from the University of Missouri Columbia (1970) and a BS in Mechanical Engineering from National Taiwan University (1967). His educational background provided the foundation for his extensive research in structural mechanics and computational methods. His research interests focus on design optimization, finite element methods, computational mechanics, vibration, structural dynamics, and image reconstruction for NIR measurements. His work bridges theoretical developments with practical engineering applications, particularly in structural optimization and vibration control. Dr. Wang has developed innovative methods including the semi-analytic complex variable method for sensitivity analysis, which has significantly advanced computational approaches in structural dynamics. His publication record demonstrates consistent contributions to structural dynamics and optimization, with recent work focusing on vibration analysis of complex structures, optimization of damping systems, and mid-frequency structural-acoustic problems. His research shows a clear trajectory from fundamental structural mechanics to sophisticated computational approaches for complex engineering problems. Dr. Wang has received notable recognition including The Halliburton Award for Outstanding Research from UTA's College of Engineering and a Certificate of Recognition from NASA. These awards highlight the significance and impact of his research contributions to the field. As an educator and mentor, Dr. Wang has advised numerous PhD and Master's students, serving as Dissertation Committee Chair for many students including Bret Hauser, Rick Scott, and Mike Henson. His teaching portfolio includes advanced courses in structural dynamics, finite element methods, and design optimization, reflecting his expertise across these core mechanical engineering disciplines. He has also contributed to the academic community through extensive service as a reviewer for major journals including Journal of Sound and Vibration, AIAA Journal, and Structural and Multidisciplinary Optimization.

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Aleksandar LovricView profile

Associate Professor

University of BelgradeSerbia

Aleksandar Lovric is an Associate Professor at the Faculty of Forestry , University of Belgrade . He teaches courses including Veneers and Laminated Boards , Solid Wood Engineered Product Technologies , and Tree Protection across undergraduate and graduate programs. Research Focus: Primary wood processing, veneer/laminated panel engineering, and wood modification Key Publications: 15+ works on thermal modification of poplar/beech wood, dimensional stability of plywood, and advanced wood composites Projects: Involved in Ministry of Science-funded initiatives for sustainable wood technologies Professional Expertise: Quality assessment of sawn timber, technological innovation in wood processing, and industrial consultation Recent Trends: His 2024-2025 research explores carbon-fiber-reinforced wood composites and adaptive drying systems. Earlier works (2013-2017) established foundational knowledge on thermal modification effects on poplar veneer.

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Ivan Charles SterlingView profile

Professor

St. Mary's College of MarylandUnited States

Ivan Charles Sterling is a Professor of Mathematics at St. Mary's College of Maryland, where he has been teaching since July 2000. He earned his B.A. from the University of California at Santa Cruz in 1980 and his Ph.D. from the University of California at Berkeley in 1985. His academic career includes positions as Researcher at Max-Planck-Institut für Mathematik in Bonn (1985-1986), Visiting Lecturer at UC Santa Cruz (1986-1987), Assistant Professor at Technische Universität Berlin (1987-1991) and the University of Toledo (1991-1995), and Associate Professor at the University of Toledo (1995-2000). Professor Sterling's research focuses on differential geometry with particular emphasis on pseudospherical surfaces, minimal surfaces, and discrete curves. His work bridges theoretical mathematics with practical applications in 3D printing and geometric visualization. His teaching portfolio includes a wide range of courses from Calculus sequences to specialized topics like '3D Printing Galaxies' and '3D Printing Constant Negative Curvature Fabrics.' His publication history reveals a clear evolution from classical differential geometry toward more applied areas involving computational methods and 3D fabrication. Starting with theoretical work on minimal surfaces and pseudospherical surfaces in the 1980s-1990s, his research progressed through discrete geometry topics in the 2000s-2010s, culminating in his recent work on integrating 3D printing technology with mathematics education. This trajectory demonstrates how Sterling has successfully connected pure mathematical theory with tangible applications in visualization and digital fabrication. At St. Mary's College of Maryland, Sterling maintains an office in Schaefer Hall, Room 177, where he continues to teach undergraduate mathematics courses and conduct research that combines geometric theory with modern fabrication techniques. His work exemplifies how theoretical mathematics can find practical expression through emerging technologies.

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John VolkerView profile

Research Fellow

Weierstrass Institute for Applied Analysis and StochasticsGermany

John Volker is a Research Fellow at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS), specializing in numerical analysis and computational fluid dynamics. His work focuses on developing and analyzing finite element methods, stabilization techniques for convection-dominated flows, and applications in fluid mechanics. He has contributed to advancing PINN-based methods, pressure-robust discretizations, and optimal control strategies for industrial and biomedical fluid dynamics problems. Key research areas include: numerical methods for PDEs (convection-diffusion, Navier-Stokes), turbulence modeling, and high-resolution schemes for discontinuous Galerkin methods. His studies often address spurious oscillations, error analysis, and the integration of machine learning in numerical simulations. Notable projects include investigations into blood flow simulations, liquid steel stirring optimization, and the impact of viscosity modeling in biomedical contexts. His research bridges theoretical analysis with practical applications, contributing to both algorithm development and real-world engineering challenges.

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Tracy BeckerView profile

Associate Professor

University of California, BerkeleyUnited States

Tracy Becker is an Associate Professor in the Department of Civil and Environmental Engineering at the University of California, Berkeley, holding the Ed & Diane Wilson Presidential Chair in Structural Engineering. She serves as Vice Chair for Research & Technical Support and leads projects in structural dynamics, earthquake engineering, and novel material applications. Education: B.S. in Structural Engineering, University of California, San Diego (2006) M.S. in Civil and Environmental Engineering (SEMM), University of California, Berkeley (2007) Ph.D. in Civil and Environmental Engineering (SEMM), University of California, Berkeley (2011) Becker's research focuses on enhancing structural resilience through advanced isolation systems, hybrid simulation methodologies, and machine learning-driven design optimization. Her work addresses collapse behavior under extreme seismic loads, model updating techniques, and innovative steel component design to improve rotational capacity while minimizing damage. Recent publications highlight trends in base isolation performance evaluation, hybrid simulation advancements, and uncertainty modeling for infrastructure management. Key topics include friction pendulum systems, Gaussian process surrogate modeling for collapse prediction, and life-cycle analysis of bridge bearings. Scientific Awards: Best Paper Award at ICOSSAR International Conference Becker's contributions include experimental validation of isolation systems, development of data assimilation frameworks for structural models, and educational initiatives within the Structural Engineering, Mechanics and Materials (SEMM) program. She actively collaborates on full-scale testing and computational modeling projects.

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Tunahan TURHANView profile

Associate Professor

Süleyman Demirel UniversityTurkey

Tunahan TURHAN is an Associate Professor at the Department of Mathematics and Science Education, Faculty of Education, Suleyman Demirel University. His academic career spans differential geometry, Lorentzian geometry, and mathematical modeling in applied contexts. PhD in Mathematics (Selcuk University, 2014) MA in Mathematics (Suleyman Demirel University, 2010) MA in Industrial Engineering (Suleyman Demirel University, 2022) Licence in Mathematics (Suleyman Demirel University, 2008) His research focuses on differential geometry with emphasis on Lorentzian immersions, hyperelastic curves, and Riemannian maps. He explores geometric properties in pseudo-spherical kinematics, Galilean spaces, and Lie group structures. Publications from 2024-2019 demonstrate expertise in curve dynamics within Lorentzian manifolds, Riemannian mapping, and geometric modeling using Bezier curves. Key trends include mathematical physics applications, geometric flows, and interdisciplinary approaches to data analysis.

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Bulent SarliogluView profile

Associate Professor

University of Wisconsin-MadisonUnited States

Bulent Sarlioglu is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with additional affiliations in Mechanical Engineering. His research focuses on advancing electric machines, power electronics, and drive systems for applications in hybrid/electric vehicles, renewable energy, aerospace, and naval systems. He specializes in optimizing efficiency, power density, and thermal management through innovative material usage and topology design. Education: PhD 1999, University of Wisconsin-Madison MS 1992, University of Missouri-Columbia BS 1990, Istanbul Technical University Research interests include: Electric machines and drives Current-source inverters (CSIs) High-power-density integrated systems Thermal management via additive manufacturing Fault-tolerant modular designs Wide bandgap semiconductor applications His work emphasizes practical implementation, with contributions to cooling technologies (e.g., in-core cooling for YASA motors) and high-speed propulsion systems. Over 20+ awards highlight his impact, including the IEEE PELS Outstanding Achievement Award (2024) and NSF CAREER Award (2016). Teaching includes advanced research supervision (ECE/ME 790-990 courses) and circuit analysis at both undergraduate and graduate levels.

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Charlotte BecketView profile

Associate Professor

Pace UniversityUnited States

Charlotte Becket is an Associate Professor in the Art Department at Pace University, part of the Dyson College of Arts and Sciences in New York City. She is also an active contemporary artist whose work spans kinetic sculpture, light installations, and public art projects. Her research explores the intersection of mechanical systems and visual perception, focusing on how analog methods can generate projected imagery that challenges digital norms. Themes of technology, surveillance, environmental erosion, and human agency recur throughout her practice. She constructs sculptures with lights and curved glass lenses that project images of themselves, creating immersive environments that question the boundaries between the physical and the perceived. Her recent exhibitions include solo and two-person shows at RuSalon (Brooklyn), Crisp Gallery (London), LEAP (Berlin), and Taxter and Spengemann (NYC). Her work has been featured in group exhibitions at Gazelli Art House, the Contemporary Art Center in Cincinnati, and the Invitational Exhibition at the Academy of Arts and Letters. Becket’s artistic output shows a strong trend toward mechanical rhythm, looping motion, and the poetic inefficiency of machines. Her installations often transform industrial materials into organic, almost living forms that evoke pathos and humor. She frequently collaborates with other artists, such as Roger Sayre and Emmy Mikelson, on large-scale public projects. Socrates Sculpture Park & the New York Cultural Commission, 2015 New York Foundation for the Arts Artist’s Fellowship, 2014 Tony Smith Award, 2005 Joan Mitchell Foundation Grant, 2005 Verizon Thinkfinity Grant (2009, 2010) Urban Glass Merit Scholarship, 2016 Center for Book Arts Residency, 2018 CultureHub Micro Residency, 2017 She has received project funding from Dlectricity (Detroit), IN-SITE (South Orange, NJ), ArtBloc (Jersey City), and Wildflower Sculpture Park. Her work has been reviewed in The New York Times , ArtForum , Art in America , and TimeOut London . She has lectured widely at universities and galleries and has served on curatorial advisory boards. She teaches courses in sculpture, drawing, design, and public art at Pace University. Becket’s work is represented in publications such as 100 Artists by Francesca Gavin and has been featured in BOMB Magazine , Hyperallergic , and Port Magazine . She is deeply engaged in both academic and artistic communities, contributing to public discourse through exhibitions, lectures, and collaborative projects.

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MUSTAFA ALTINView profile

Associate Professor

Bingol UniversityTurkey

Mustafa Altın is an Associate Professor in the Department of Mathematics at Bingöl University's Faculty of Arts and Sciences. His research focuses on differential geometry, particularly hypersurface theory in various spaces like Lorentz-Minkowski, Galilean, and Euclidean geometries. He has published over 30 articles since 2019, with recent work emphasizing rotational hypersurfaces, Smarandache curves, and manifold analysis. His studies often involve geometric analysis of surfaces using advanced techniques like Darboux frames and generalized connections. No grants or awards are explicitly mentioned in the provided texts. Education: B.S. Mathematics (2000-2004), M.Ed. Mathematics Teaching (2004-2006), M.Sc. Geometry (2010-2013), Ph.D. Geometry (2015-2019) all from Inönü University. Research interests include non-null curves, weighted curvature, canal hypersurfaces, and geometric properties of manifolds. Recent articles explore topics like Loxodromes on twisted surfaces and minimal translation hypersurfaces in E4 space. He has collaborated extensively with researchers like A. Kazan and D.W. Yoon on geometric analysis projects.

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Tilo ArensView profile

Lecturer

Karlsruhe Institute of TechnologyGermany

Dr. Tilo Arens is a Lecturer at the Institute for Applied and Numerical Mathematics , part of the Karlsruhe Institute of Technology (KIT) . His research focuses on numerical methods for scattering problems , particularly involving electromagnetic waves , chiral scatterers , and inverse scattering problems . He actively contributes to the Working Group 4: Inverse Problems and collaborates on projects within the CRC 1173 Wave Phenomena . His teaching portfolio includes courses such as Higher Mathematics II for engineering disciplines, Optimization Theory , and Scattering Theory . He also supervises bachelor’s and master’s theses on topics like Approximation of rotation-minimizing frames using B-spline curves and Numerical methods for integral equations . Dr. Arens has authored numerous publications on inverse scattering, integral equations, and computational methods. Notable works include studies on monotonicity-based shape reconstruction , high-order numerical methods for bi-periodic structures , and electromagnetic chirality measurement . His research intersects with applied mathematics, physics, and computational science. He previously collaborated on a student seminar with Heisenberg-Gymnasium Karlsruhe to bridge university and secondary education in mathematics. His habilitation (2010) and PhD (2000) are in electromagnetic and elastic wave scattering, respectively.

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Carlotta GiannelliView profile

Associate Professor

University of FlorenceItaly

Carlotta Giannelli is an Associate Professor at the University of Florence, within the Department of Mathematics and Computer Science (DIMAI) and the Florence Center for Data Science (FDS). She holds a Ph.D. in Computer Science and Applications (2010) and a Laurea in Computer Science (2006), both from the University of Florence. Her research focuses on computational geometry, isogeometric analysis, and spline approximation, with applications in numerical methods and geometric modeling. Education: Ph.D. in Computer Science and Applications (2010), University of Florence; Laurea in Computer Science (2006), University of Florence. Research Interests: Giannelli specializes in adaptive isogeometric methods, hierarchical splines, and rotation-minimizing frames. She has contributed to advancements in parameterization for computational domains, fault detection in scattered data, and applications in additive manufacturing. Her work bridges theoretical foundations with industrial applications, such as turbine blade design and structural biology analysis. Publications: Giannelli has authored numerous articles on topics like hierarchical B-splines, THB-splines, and Pythagorean-hodograph curves. Her recent work emphasizes adaptive refinement strategies and numerical integration techniques. Scientific Awards: Marie Curie Intra-European Fellowship (2011–2013), Marie Curie Actions (2013), Marie Curie Initial Training Network (2010). Teaching: Courses include Numerical Methods for Graphics (Master's level) and Computational Numerical Methods (Undergraduate/PhD levels). Grants: PI of RTD-UNIFI (2019–2020) and DREAMS (2014–2018), funded by MIUR. Co-organizer of conferences like SIAM GD 2023 and GMP 2020. Labs/Teams: Active in DIMAI and the Florence Center for Data Science, collaborating on projects like SUNRISE and parameterization for isogeometric analysis.

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Zbyněk ŠÍRView profile

Associate Professor

Charles UniversityCzech

Zbyněk ŠÍR is an Associate Professor at the Mathematical Institute within the Faculty of Mathematics and Physics at Charles University in Prague . He specializes in Computer-Aided Geometric Design (CAGD) , Differential Geometry , and the History of Geometry , with a focus on Pythagorean Hodograph curves and their applications in geometric modeling. Education: 1989: Graduated from Gymnázium J. K. Tyla, Hradec Králové 1993: DEA (Diplôme d'Études Approfondies) in Algebra and Geometry, University Pierre et Marie Curie (Paris VI) 1995: Master's in Mathematics (Riemannian Geometry, Representation Theory), Charles University 2002: PhD in Mathematics (History of French Geometry), Charles University & Université Pierre et Marie Curie 2012: Habilitation in Mathematics (Geometry and Topology), Charles University His research spans theoretical and applied geometry, including Pythagorean Hodograph curves , rational curves , and historical mathematical texts . Recent work focuses on rotation-minimizing motions , framing motions , and complex quaternions for minimal surfaces. Collaborations with researchers like Carlotta Giannelli, Lucia Sacco, and Bert Jüttler highlight interdisciplinary applications in robotics, aerospace, and computational geometry. ŠÍR teaches courses in Geometric Modeling and Mathematical Education , emphasizing the use of tools like Mathematica for visualizing curves, surfaces, and geometric transformations. His teaching integrates theoretical concepts (e.g., Frenet frames, projective geometry) with practical applications (e.g., CNC manufacturing, 3D reconstruction).

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Sanjay LallView profile

Professor

Stanford UniversityUnited States

Sanjay Lall is a Professor of Electrical Engineering at Stanford University, with appointments in both the Information Systems Laboratory and the Department of Aeronautics and Astronautics. His academic career spans prestigious institutions including Stanford University, California Institute of Technology, Massachusetts Institute of Technology, and the University of Cambridge. His educational background includes: B.A. in Mathematics with first-class honors (1990) from the University of Cambridge Ph.D. in Engineering (1995) from the University of Cambridge Professor Lall's research focuses on algorithms for control, optimization, and machine learning. His work bridges theoretical foundations with practical applications across diverse domains. He has made significant contributions to decentralized control systems, optimization algorithms, and their applications in real-world systems. His research group develops mathematical frameworks and computational methods that address fundamental challenges in control theory and optimization. His recent publications demonstrate a continued focus on cutting-edge topics including bittide synchronization systems, robust machine learning, multi-agent decision making, and the application of convex optimization to neural network training. The research spans theoretical developments in control theory and optimization while maintaining strong connections to practical implementation challenges. His notable scientific achievements have been recognized with prestigious awards: IEEE Fellow (2015) O. Hugo Schuck Best Paper Award, American Control Conference (2013) Presidential Early Career Awards for Scientists and Engineers (PECASE) (2007) George S. Axelby Outstanding Paper Award (2007) NSF Career award (2007) National Academy of Engineering's Frontiers of Engineering Program (2007) Vance D. and Arlene C. Coffman Faculty Scholar (2007) Graduate service recognition award, Stanford University (2005) Professor Lall has extensive experience mentoring graduate students and has taught numerous advanced courses including Introduction to Machine Learning (EE104), Introduction to Linear Dynamical Systems (EE263), Stochastic Control (EE266), Convex Optimization I (EE364a), and Semidefinite Optimization and Algebraic Techniques (EE464). His teaching emphasizes the mathematical foundations of control and optimization with connections to practical implementation. His work extends beyond academia through significant industrial collaborations and applications in satellite systems, advanced audio systems, Formula 1 racing, the America's Cup, cloud services monitoring, and integrated circuit diagnostic systems. He has also held leadership positions including Director in the Autonomous Systems Group at Apple (2018-2019) and currently serves as a visiting researcher and director at Google.

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Eugenio PozzoliView profile

Researcher

École Normale Supérieure de RennesFrance

Eugenio Pozzoli is a CNRS permanent researcher (chargé de recherche) since 2023, jointly affiliated with the Rennes Institute of Mathematical Research (IRMAR) at the University of Rennes and the École Normale Supérieure de Rennes (ENS Rennes). His research bridges advanced mathematics and quantum physics, focusing on control theory for partial differential equations and quantum mechanical systems with applications in quantum computing and molecular dynamics. Education: PhD in Mathematics, Sorbonne University and INRIA team CAGE (2021), supervised by Ugo Boscain and Mario Sigalotti Research Focus: Professor Pozzoli's work centers on small-time controllability problems using geometric control theory and sub-Riemannian geometry . His investigations span quantum control of molecular systems (rotors, chiral molecules), bilinear Schrödinger equations , and nonlinear PDE control (heat, wave equations). Recent breakthroughs include enhancing controllability via static fields and solving enantiomer-selective state transfer in degenerate quantum systems, demonstrating exceptional mathematical rigor with experimental relevance. Publication Trends: Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on quantum control applications (60% of articles), particularly for molecular rotation and chirality, combined with fundamental advances in geometric control theory (30%) and PDE controllability (10%). His work consistently addresses the critical challenge of achieving control in minimal time frames, with increasing emphasis on experimentally feasible strategies for quantum technologies. Grants and Leadership: Principal Investigator of ANR JCJC project QUEST (Quantum and ensemble control in small times) Co-organizer of 'Applications of Mathematics' research seminars at ENS Rennes Lab Environment: As part of IRMAR's mathematics research ecosystem, Professor Pozzoli leads a dynamic group focused on geometric control methods. The QUEST project provides substantial resources for computational modeling and theoretical development, with active recruitment for postdoctoral researchers. His lab emphasizes interdisciplinary collaboration between mathematicians and quantum physicists, maintaining strong ties with Sorbonne University and INRIA while fostering international partnerships through co-authored publications in leading physics and mathematics journals.

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