جست‌وجوی استاد و پژوهشگر

Ondrej Rokosمشاهده پروفایل

استادیار

• Mathematical Modelling
• Homogenization
• Computational Mechanics
• +۷ مورد دیگر

Ondrej Rokos is an Assistant Professor in the Mechanics of Materials section at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering. He is actively involved in research and teaching related to multiscale materials modeling, with a focus on computational mechanics, metamaterials, and homogenization techniques. He leads Group Rokos and is affiliated with the Institute for Complex Molecular Systems (ICMS). PhD in Civil Engineering (2014) from Czech Technical University in Prague Postdoctoral positions at CTU Prague and TU/e Visiting researcher at TU/e (2015) and University of Luxembourg (2016) His research centers on understanding multiscale physical phenomena in materials engineering to enable optimal material design. Key areas include: Homogenization and quasicontinuum methods for discrete microstructures Machine learning integration in surrogate modeling Stochastic structural dynamics and experimental-computational frameworks Mechanical metamaterials with pattern transformation capabilities Recent publications emphasize the application of machine learning (e.g., symmetric positive definite convolutional networks) and advanced homogenization techniques (e.g., similarity-equivariant graph neural networks) to optimize metamaterials. Notable trends include: Development of data-driven models for modular structures Geometrical parameterization of elastomeric metamaterials Active stiffness control in pneumatic systems Extended quasicontinuum methodologies for heterogeneous systems He teaches courses in: Computer Aided Engineering Solid Mechanics Machine Learning for Multi-Physics Modeling and Design Research is conducted within the Mechanics of Materials group, with affiliations to ICMS and collaborations across institutions.

• programming and building microprocessor devices
• application programming (Delphi, C++)
• Web programming (.NET, C#, MVC, AJAX)
• +۲ مورد دیگر

Sergey Oleksandrovych Sgadov is a Senior Lecturer in the Department of Computer Systems and Networks at Zaporizhzhia Polytechnic National University. With academic activity at the university since 1998, he has established himself as a dedicated educator and researcher in computer science and microprocessor technologies. His institutional affiliation places him within the Faculty of Computer Sciences and Technologies, where he contributes to both teaching and research initiatives. Education: Graduated from Zaporizhia National University in 1993 with honors, specializing in "Solid-state electronics and microelectronics" and receiving the qualification of "specialist". Dr. Sgadov's research spans multiple domains of computer science and engineering. His primary interests include microprocessor programming, application development using Delphi and C++, web programming with .NET technologies, and computer modeling of physical processes. He has made significant contributions to graph theory, particularly in topological graph drawing algorithms and their applications in printed circuit board design. His work bridges theoretical computer science with practical engineering applications, focusing on creating efficient algorithms for complex computational problems. Analysis of his publication record reveals a strong focus on graph theory applications in electronic design automation, microprocessor systems development, and educational tools for computer engineering. His research has evolved from fundamental theoretical work on graph algorithms to practical implementations in microcontroller programming and educational technology. The consistent thread throughout his work is the application of computational methods to solve complex engineering problems, particularly in circuit design and microprocessor systems. Dr. Sgadov teaches courses in microcontroller programming and programming of microcontroller systems, bringing his research expertise directly into the classroom. His teaching methodology likely incorporates practical, hands-on experience with modern microprocessor technologies, reflecting his research interests in ARM Cortex processors and microcontroller applications.

• Engineering Graphics
• Descriptive Geometry
• Architectural Design
• +۲ مورد دیگر

Svitlana Anatoliivna Bovkun is a Senior Lecturer at the Department of Integrated Technologies of Welding and Modeling of Structures within the Engineering Faculty of Zaporizhzhia Polytechnic National University. With academic activities since 2005, she specializes in engineering graphics and descriptive geometry, contributing to educational materials and interdisciplinary research at the intersection of design, mathematics, and technical visualization. Education: Electrical Engineer from V.Ya. Chubar Mass Media (1987) Her research focuses on geometric principles in technical representation, including linear perspective techniques and spatial modeling. She has authored textbooks and conference papers exploring dimensional constraints in manufacturing, geometric illusions, and biomimetic design applications. Scientific Activities: Though no formal awards are listed, her work spans 15+ publications, including two major textbooks. She actively participates in the university’s Science Week conferences, presenting research on geometric forms in architecture and bionics in design. Languages: English (with dictionary assistance) Contact: Room 341, 64 Zhukovsky St., Zaporizhzhia, Ukraine Phone: +380(61)769-82-60

• Computer Science
• Signal and Image Processing
• Remote Sensing
• +۵ مورد دیگر

Christian Germain is a Professor of Computer Science at Bordeaux Sciences Agro, an engineering school specializing in agronomy. He focuses on information technologies and their applications to agriculture and environmental science, conducting research in image analysis at the IMS laboratory. His work spans remote sensing, embedded agricultural imaging, and digital tool development for vineyards. Key Roles: Co-holder of the AgroTIC business chair (29 corporate sponsors), Scientific Director of DigiLab (open platform for wine-growing experiments). Research Themes: Remote sensing, agricultural imaging systems, covariance pooling in machine learning, and texture analysis for material science. His recent publications highlight collaborations with industry and academic partners, emphasizing applications in vineyard health monitoring, carbon composite modeling, and vine disease detection. Germain’s team utilizes CNNs, Gaussian mixture models, and SAR imaging techniques to advance agricultural and materials engineering. He has contributed to international conferences and journals, integrating computational methods with real-world agricultural challenges, including proximal sensing for crop management and 3D microstructure simulation.

John F Hughesمشاهده پروفایل

استاد

• Computer Graphics
• Mathematical Modeling
• Human-Computer Interaction
• +۴ مورد دیگر

John F Hughes is a Professor of Computer Science at Brown University's School of Engineering. His work bridges computer graphics and mathematics, with a focus on intuitive interfaces for 3D modeling and visualization. He has made significant contributions to sketch-based interfaces, art-based graphics, and shape modeling. Education: PhD in Mathematics, University of California, Berkeley (1982) MA in Mathematics, University of California, Berkeley (1982) BA in Mathematics, Princeton University (1977) Professor Hughes's research centers on computer graphics with strong mathematical foundations. He specializes in the modeling of shape and form at multiple scales, human-computer interaction, and art-based graphics. His work explores how artists' techniques can be utilized to enhance human-computer communication about shape. He has recently expressed interest in machine learning applications to graphics problems. His approach emphasizes informal modes of input and output, particularly sketching as a means to describe shape and expressive renderings for information communication. His publication record shows a consistent focus on sketch-based interfaces for 3D modeling, art-based rendering techniques, and mathematical approaches to graphics problems. Over time, his work has evolved from foundational mathematical approaches to more applied interactive systems, while maintaining a strong connection to mathematical principles. Recent publications indicate expanding interests into machine learning applications for graphics and computational approaches to sparse data. Scientific Awards: User Interface Software and Technology (UIST) Best Paper Award Professor Hughes has received substantial research funding from major technology companies and government agencies. His funded research includes a gift from Pixar supporting graduate fellowships in computer graphics (since 2000), research grants from Microsoft, NSF, and collaborations with IBM and Sun Microsystems. His work has been instrumental in advancing sketch-based interfaces and art-based rendering techniques, with applications ranging from character animation to document navigation interfaces. He maintains active collaborations with researchers across the computer graphics community, particularly in the areas of sketch-based interfaces and modeling. His work with Takeo Igarashi, Tomer Moscovich, and other collaborators has been highly influential in the computer graphics community, shaping how we interact with 3D content through intuitive sketching interfaces.

Cynthia Franciscoمشاهده پروفایل

استادیار

• Mathematics Education
• Curriculum Development
• Teacher Preparation
• +۲ مورد دیگر

Cynthia Francisco is a teaching assistant professor at Oklahoma State University (OSU), overseeing Math Structures and Geometric Structures courses for preservice early childhood and elementary teachers while teaching online Business Calculus. Her work centers on innovative mathematics pedagogy and curriculum design within higher education and K-12 settings. Her research focuses on mathematics education, curriculum development, and teacher preparation, with emphasis on standards-based classroom implementation, technology integration in algebra instruction, and writing-to-learn strategies. She investigates how heterogeneous classrooms engage with honors work and computer-aided learning components to improve mathematical understanding across diverse student populations. Francisco pioneered Cornell University's first mathematics writing seminar "Experiencing Mathematics through Writing" as part of writing-across-disciplines initiatives. She led OSU's 2008 College Algebra redesign using a modified emporium model supported by the National Center for Academic Transformation. Her contributions extend to the Core-Plus Mathematics Project as a pilot teacher and researcher, and the COMPASS project improving NCTM standards implementation nationwide.

Alicia Cantón Pireمشاهده پروفایل

استاد

• Mathematics
• Applied Mathematics
• Geometry
• +۵ مورد دیگر

Alicia Cantón Pire is a Professor at the Department of Mathematics and Computer Science Applied to Civil and Naval Engineering , affiliated with the Higher Technical School of Naval Engineers (ETSIN) at the Polytechnic University of Madrid (UPM) . Her research spans multiple domains within Mathematics, Applied Mathematics, and Computer Science, focusing on geometric modeling, complex analysis, and graph theory. Research Interests : Asymptotic values of meromorphic functions, Gromov hyperbolicity in planar graphs, geometric characteristics of Bézier surfaces, and isoperimetric inequalities. Teaching : Engaged in academic instruction, with access to the Moodle platform for current courses. Professional Affiliations : Member of mathematical societies including the Royal Spanish Mathematical Society (RSME) , Spanish Society of Applied Mathematics (SeMA) , and the American Mathematical Society (AMS) . Her work integrates theoretical mathematics with practical applications in engineering and computer science, reflecting in her collaborative publications and extensive contributions to geometric and analytic problems. Email : alicia.canton@upm.es

Joseph S.B. Mitchellمشاهده پروفایل

استاد

• Computational Geometry
• Algorithms and Data Structures
• Optimization
• +۳ مورد دیگر

Joseph S.B. Mitchell is a SUNY Distinguished Professor at the Department of Applied Mathematics and Statistics, State University of New York at Stony Brook. His office is located in Math Tower, Room P-138A. His research spans computational geometry, algorithms, optimization, and related fields. Research Interests: Prof. Mitchell's work focuses on fundamental and applied problems in geometric computing, including: Algorithm design for spatial optimization (e.g., art gallery problems, dispersion) Robotics applications (multi-agent path planning, sensor deployment) Efficient solutions for geometric data structures and visibility constraints Recent Publications: His 15 most recent articles (2024-2025) demonstrate a consistent focus on geometric optimization, visibility problems, and algorithm design for polygons and networks. Common themes include approximation algorithms, multi-robot coordination, and combinatorial solutions for spatial challenges. Awards: SUNY Distinguished Professor (recognizing exceptional academic contributions)

Alvar Vinacuaمشاهده پروفایل

دانشیار

• Computer-Aided Geometric Design
• Computer Aided Design
• Computational Geometry Algorithms
• +۳ مورد دیگر

Alvar Vinacua is an Associate Professor at the Polytechnic University of Catalonia , affiliated with the Computer Languages and Systems department. His work focuses on computational geometry and immersive software interfaces. Research areas include Computer-Aided Geometric Design and Computational Geometry Algorithms Specializes in Virtual/Enhanced Reality software and interfaces

Benedikt Wirthمشاهده پروفایل

استاد

• Optimisation and calculus of variations
• image processing
• scientific computing
• +۹ مورد دیگر

Prof. Dr. Benedikt Wirth is a Professor of Mathematics at the University of Münster, Germany, affiliated with the Institute for Analysis and Numerics within the Department of Mathematics and Computer Science. He is an active researcher and educator specializing in optimization and calculus of variations, with significant contributions to mathematical imaging and shape analysis. His research interests include image processing, scientific computing, numerical analysis, optimization, shape spaces, geodesics in shape space, variational methods, elastic deformation, and optimal transport. Wirth has developed innovative mathematical frameworks for shape analysis, particularly focusing on Riemannian metrics for shape spaces and variational approaches to shape comparison and optimization. His recent publications (2023-2025) demonstrate continued leadership in mathematical optimization, with particular focus on PET reconstruction, dimension reduction techniques, manifold embeddings, and branched transport theory. His work bridges theoretical mathematics with practical applications in medical imaging and computer vision, showing particular strength in connecting geometric analysis with computational methods. CRC 1450 - A05: Targeting immune cell dynamics by longitudinal whole-body imaging and mathematical modelling CRC 1450 - A06: Improving intravital microscopy of inflammatory cell response by active motion compensation EXC 2044 - C1: Evolution and asymptotics EXC 2044 - C2: Multi-scale phenomena and macroscopic structures EXC 2044 - C3: Interacting particle systems and phase transitions EXC 2044 - C4: Geometry-based modelling, approximation, and reduction Prof. Wirth actively supervises numerous bachelor's and master's students, with over 40 theses completed under his guidance since 2015. His teaching portfolio includes courses on inverse problems, numerical methods for partial differential equations, shape spaces, optimization, and optimal transport. He has consistently maintained an active research program while contributing significantly to the education of the next generation of mathematicians.

Erhan Budakمشاهده پروفایل

استاد

• Manufacturing processes
• Machining and machine tools
• Machine dynamics
• +۵ مورد دیگر

Erhan Budak is a Professor at Sabanci University's Faculty of Engineering and Natural Sciences, specializing in manufacturing engineering. With a Ph.D. in Mechanical Engineering from the University of British Columbia, he has held academic positions since 1994 and founded Maxima Manufacturing R&D in 2008. His work focuses on machining dynamics, tool design, and manufacturing process optimization. Sabanci University (2011-Present: Professor; 2004-2011: Associate Professor; 2000-2004: Assistant Professor) Pratt & Whitney Canada (1994-2000: Manufacturing R&D Engineer) Founder of Maxima Manufacturing R&D (2008) Research Interests: Manufacturing processes, machining dynamics, tool design optimization, chatter stability analysis, virtual manufacturing systems, and thermo-mechanical modeling. His publications demonstrate expertise in 5-axis milling, process damping, and industrial applications. Scientific Contributions: Developed analytical methods for chatter stability prediction Innovative tool design approaches for increased productivity Advancements in 5-axis machining simulations Thermo-mechanical force modeling Process damping identification techniques Awards: CIRP Taylor Medal (2003) Outstanding Achievement Award from Pratt & Whitney Canada (1998) Multiple scholarships from UBC and TUBITAK Industrial Applications: Collaborates with Maxima Ltd. for implementing research outcomes in manufacturing environments. Maintains editorial roles with CIRP Journal, International Journal of Advanced Manufacturing Technology, and Journal of Machining Science and Technology.

• Digital Twinning
• Building Information Modeling (BIM)
• Computer Vision
• +۳ مورد دیگر

Mansour Mehranfar is a Researcher at the Chair of Computing in Civil and Building Engineering, Technical University of Munich (TUM). He contributes to advancing AI applications in digital twinning of the built environment through the AI4Twinning research initiative, focusing on automated generation of semantic building models from point cloud data and imagery. His research centers on Digital Twinning, Building Information Modeling (BIM), and Computer Vision, with specific expertise in point cloud processing, semantic segmentation, and 3D reconstruction. He develops AI-driven frameworks that integrate deep learning with geometric modeling to convert raw sensor data into semantically enriched digital representations of buildings and infrastructure components. Recent publications reveal a strong emphasis on staircase modeling, indoor space documentation, and domain adaptation techniques. Key innovations include hybrid top-down/bottom-up approaches for Manhattan-world structures, parametric prototype model fitting, and multi-task learning frameworks that simultaneously handle scene parsing and 3D reconstruction from single images. Dr. Mehranfar actively supervises Master's theses, guiding students in topics such as load-bearing wall detection, staircase modeling automation, and BIM change management. He teaches Engineering Databases at TUM and collaborates within the university's BIM-Lab ecosystem, leveraging facilities for robotic fabrication and mobile machinery research.

Ranjeet Agarwalaمشاهده پروفایل

دانشیار

• Advanced Manufacturing
• Renewable Energy
• Computer Aided Design
• +۳ مورد دیگر

Dr. Ranjeet Agarwala serves as an Associate Professor within the Department of Technology Systems at East Carolina University, where he contributes to engineering education and research in critical technological domains. His work bridges theoretical foundations with practical applications in manufacturing and energy systems. His research portfolio centers on transformative areas of modern engineering: Advanced Manufacturing methodologies including Direct Digital and Additive Manufacturing processes Renewable Energy systems development and integration Computer Aided Design (CAD) and precision engineering through Geometric Dimensioning and Tolerancing Thermal and Fluid Systems analysis alongside core mechanical principles in Statics and Strength of Materials Dr. Agarwala's teaching directly reflects his research expertise, delivering specialized instruction across undergraduate and graduate programs. His office is located in Sci-Tech 209, and he maintains accessibility through email contact at agarwalar@ecu.edu for academic collaboration and student guidance.

Lee Keelمشاهده پروفایل

استاد

• Linear Systems Theory
• Robust Control
• Networked Control Systems
• +۴ مورد دیگر

Lee Keel is a Professor in the Department of Electrical and Computer Engineering at Tennessee State University's College of Engineering, where he has been faculty since 1986. He also serves as an Adjunct Professor in Vanderbilt University's Mechanical Engineering Department since 1991 and previously directed Tennessee State's Center for Systems Science Research from 1997-2007. Dr. Keel earned his Ph.D. in Electrical Engineering from Texas A&M University in 1986, following an M.S. from the same institution in 1982 and a B.S. in Electronics Engineering from Korea University in 1978. His academic journey began with engineering experience at LG Telecommunications R&D in Korea before transitioning to academia. His research expertise spans Linear Systems Theory, Robust Control, and Networked Control Systems, with recent focus on developing data-based control design techniques that eliminate reliance on analytical models. His work has been continuously funded by NSF, NASA centers (Ames, Langley, Goddard, Marshall), DoD, and industry partners including Boeing, with over $20 million in research grants throughout his career. Analysis of his publication record shows consistent contributions to robust control theory, particularly in interval systems stability, parametric robustness, and measurement-based controller design. His recent work increasingly addresses cyber-physical security applications for power grids and multi-agent systems. Full Academic Scholarship, Gold-Star Yonam Foundation (1971-1972, 1976-78) Eta Kappa Nu Phi Kappa Phi Distinguished Researcher Award, Tennessee State University (1996) Professor Keel has supervised numerous graduate students through thesis research and has served in leadership roles for major conferences including as Publication Chair for multiple American Control Conferences. His research group maintains strong connections with NASA laboratories and defense contractors, providing students with opportunities to work on problems with real-world impact in aerospace and critical infrastructure domains.

• Automated Design in Electronics
• Circuit Simulation
• Parameter Extraction for Electronic Components
• +۳ مورد دیگر

Prof. Elisaveta Gadjeva is a full Professor in the Department of Informatics at Technical University of Sofia's Faculty of Electronic Engineering and Technologies. With over 30 years of experience in developing CAD systems for electronics, she holds additional affiliations as a lecturer at New Bulgarian University and Tampere University of Technology (Finland), and is an IEEE member. Her research expertise spans: Automated electronic design Circuit simulation (discrete/analog systems) Parameter extraction for components Automated diagnostic systems for fault detection She utilizes tools including OrCAD PSpice, MATLAB, and LTSpice in her work. Analysis of her 15 most recent publications (2001-2007) reveals strong focus on: SPICE-based modeling techniques RF circuit optimization Noise analysis in amplifiers Geometric parameter optimization Analog circuit diagnostics Her teaching portfolio includes core courses in electronic design and simulation at both undergraduate and graduate levels across multiple institutions.