جست‌وجوی استاد و پژوهشگر

Irina Lyublinskayaمشاهده پروفایل

استاد

• STEM Education
• Mathematics Education
• Science Education
• +۵ مورد دیگر

Irina Lyublinskaya is a Professor of Mathematics and Education at Teachers College, Columbia University. She is affiliated with the Mathematics, Science & Technology department and specializes in STEM education, mathematics education, and educational technology. Her research interests include teacher education, international education, and curriculum development. Lyublinskaya holds a Ph.D. and M.S. in Theoretical and Mathematical Physics from Leningrad State University (now St. Petersburg State University). Her scholarly work spans over three decades, with a focus on integrating technology into mathematics and science education. Notable contributions include co-authoring textbooks such as Geometry investigations with GeoGebra and Exploring precalculus with The Geometer’s Sketchpad . Her recent research emphasizes culturally responsive teaching, TPACK framework applications, and robotics integration in elementary education. Lyublinskaya’s publications explore topics like teacher professional development, special education technology competency, and cross-cultural STEM pedagogy. She has mentored students such as Xiang Du and Alyssa Kaplon-Schilis, who co-authored impactful studies on TPACK trajectories and culturally relevant mathematics tasks. Her work bridges theoretical research and practical classroom applications, advocating for innovative educational technologies.

• Mathematics Education
• Educational Technology
• Teacher Training
• +۴ مورد دیگر

Cahit AYTEKİN is an Assistant Professor at the Faculty of Education, Kırşehir Ahi Evran University , specializing in Mathematics Education . With a PhD in Primary Education from Hacettepe University (2016) and a master's in Mathematics (2018), his academic career spans roles such as Vocational School Director (2021–present) and Dean's Assistant (2017–2021). His research focuses on mathematics education, teacher training, and technology integration. Education : PhD (Primary Education, Hacettepe University, 2016); MSc (Mathematics, Kırşehir Ahi Evran University, 2018); MSc (Mathematics Education, Abant İzzet Baysal University, 2012); BSc (Mathematics and Science Education, Kocaeli University, 2008); BSc (Computer Engineering, Kırşehir Ahi Evran University, 2020). His research interests include: Mathematics Education Educational Technology (GeoGebra, augmented reality tools) Gifted Student Pedagogy Student Estimation Skills Math Anxiety Interventions Publications highlight his work on technology-enhanced learning, gifted education, and teacher training, with studies on GeoGebra's impact and parental expectations in mathematics education. He has advised 12 master's theses and led projects like 'Mathematics Teacher Candidates' Computer-Assisted Teaching' . Collaborations with researchers like Serdal Baltacı and Avni Yıldız reflect his interdisciplinary approach.

• Educational Technology
• Computational Thinking
• Mathematics Education
• +۳ مورد دیگر

Dr. Sylvia van Borkulo is an Assistant Professor at the Digital Technology and Education sub-department of Utrecht University's Faculty of Science. Her work bridges STEM education with digital innovations , focusing on computational thinking in mathematics and computer science instruction.

Miroslav Bjekićمشاهده پروفایل

استاد

• Electrical Power Engineering
• Electric Machines
• Electromechanical Systems Simulation
• +۳ مورد دیگر

Miroslav Bjekić is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences, University of Kragujevac (Čačak, Serbia). His academic journey includes a PhD (2006) and Master's (1995) from Serbian institutions, with undergraduate studies completed at the Technical Faculty in Čačak (1991). He received academic excellence awards during his studies. His research spans electrical machines, energy efficiency, electromechanical simulation, and renewable energy systems . Key focus areas include: Design and optimization of electric motors/drives Energy-efficient industrial systems Educational technology for engineering Smart grid and distributed generation His publications emphasize experimental validation, simulation tools (GeoGebra, MATLAB), and applied solutions for energy challenges , with consistent themes in motor control efficiency, educational innovation, and sustainable energy integration. Awards/Honors: University of Kragujevac & Technical Faculty Čačak Study Excellence Awards Second Prize, International PhD Seminar (Ohrid, 2005) Leadership & Projects: He modernized laboratories for Electrical Machines/Drives and led national projects like TR33016 on energy efficiency in motor drives. International collaborations include TEMPUS initiatives and DAAD-funded programs. He chaired the Rotating Electrical Machines Standards Committee (Serbian Institute of Standardization, 2012–2017). Educational Development: Created original educational software for electrical engineering and accredited teacher training programs. Supervised laboratory development for remote experiments and industrial collaborations.

• Geometry Education
• Digital Technologies in Mathematics Education
• Professional Development of Mathematics Teachers

Jarmila Robová is an Associate Professor at the Department of Mathematics Didactics , affiliated with the Faculty of Mathematics and Physics at Charles University in Prague. Her work focuses on enhancing mathematics education through digital technologies and geometric conceptual understanding. Role: Associate Professor University: Charles University School: Faculty of Mathematics and Physics Department: Department of Mathematics Didactics Email: Jarmila.Robova@mff.cuni.cz Office: Karlín Campus, Room K456 Her research interests include: Geometry Education Digital Technologies in Mathematics Education Professional Development of Mathematics Teachers Recent publications highlight the integration of GeoGebra, analysis of geometric misconceptions, and technology-driven pedagogical strategies. She has supervised numerous theses on topics like digital tools in geometry, financial literacy, and innovative teaching methods. Current supervised works explore areas such as: ICT integration in secondary education Web applications for calculus and algebra Student conceptual knowledge in geometry

Marko Rosićمشاهده پروفایل

دانشیار

• Electrical Drives
• Induction Motors
• Torque Ripple Reduction
• +۵ مورد دیگر

Dr. Marko Rosić is an Associate Professor at the Department of Power Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Born on July 31, 1984, in Priboj, he completed his education in electrical engineering, graduating with top honors in 2008. He joined the faculty in 2008 as a Teaching Associate and progressed to Assistant Professor (2016) and Associate Professor (2021). He teaches courses including Electrical Drives, Control of Electrical Drives, and Computer-Aided Design in Power Engineering. His research focuses on: Torque ripple reduction in induction motor drives Energy efficiency in electric drives Magnetic field modeling and hysteresis analysis Educational technology for engineering instruction Control algorithms for electrical machines His recent publications (2021-2025) demonstrate a consistent focus on improving control algorithms for induction motors, advancing magnetic material modeling, developing fault detection systems for DC motors, and creating innovative educational tools like GeoGebra applications for engineering education. This work bridges theoretical research and practical implementations in industrial power systems. Scientific Awards: Most Successful Student Award (during studies) Most Successful Graduate Student in Electrical Engineering Young Researcher Best Paper Award (ETRAN 2013) He has led or contributed to multiple national and international projects including: TR 33016: 'Research and implementation of energy efficiency programs for electric drives' (national) 543667-TEMPUS: 'Building Network of Remote Labs' (international) 'Development of Computer-aided Design curriculum for digital competencies' (project coordinator) He develops laboratory setups including electromagnetic load emulators, DC motor test benches, and remote experimentation platforms. As a steering committee member of the ETRAN society and editor assistant for the Serbian Journal of Electrical Engineering, he actively contributes to the academic community.

• Human-Computer Interaction
• User Interface Design
• Conscious overload and loss in hypermedia educational environments
• +۷ مورد دیگر

Prof. Dr. Muhammet DEMİRBİLEK serves as a Professor in the Faculty of Education, holding joint appointments across the Department of Educational Sciences, Department of Science, and Department of Curriculum and Instruction. His academic work centers on the intersection of educational technology and human cognition within digital learning environments. His educational background includes a Licence in Electronic Engineering from Istanbul University (1993), a Master's degree in Electrical-Electronic Engineering (with thesis) from Istanbul University (1996), and a Doctor of Philosophy in Education from the University of Florida (2004). DEMİRBİLEK's research examines critical challenges in digital education including conscious cognitive overload in hypermedia environments, user interface effectiveness measurement, and the design of immersive learning systems. His work spans simulation-based environments, 3D virtual spaces, educational gaming mechanics, and social network integration in pedagogy. He investigates how multimedia production impacts teaching efficacy while addressing practical implementation challenges in diverse educational contexts. His publication record (2009-2023) reveals consistent focus on technology-mediated learning across international contexts, particularly examining social media's dual role as both distraction and collaborative tool. Key trends include bibliometric analysis of learning analytics, smartphone usage patterns among students, and cross-cultural studies of ICT adoption in European adult education. His work frequently employs mixed-method approaches to evaluate digital tools like GeoGebra in mathematics instruction and lecture capture systems in specialized fields.

anastasakiمشاهده پروفایل

پژوهشگر

• Mathematics Education
• Educational Technology
• Cognitive Science
• +۳ مورد دیگر

Anastasaki is an academic researcher affiliated with the University of Crete, focusing on mathematics education, educational technology, and cognitive science. Her work emphasizes barriers to online learning, cognitive models of emotion, and the interplay between tools and learning in STEM fields. She actively contributes to initiatives like INGENIUM Innovation Challenge and the 'Confucius of Anogia' project in philosophy education. Her research explores pandemic impacts on education, citizen science, and activity theory approaches to learning challenges. Education & Background Not explicitly stated in the provided texts Research Interests Anastasaki investigates how cultural-historical contexts shape mathematical thinking, leveraging tools like GeoGebra to enhance learning. She examines paradoxes in STEM education, the role of emotions in cognitive processes, and the transition to online learning environments. Her work bridges theory (e.g., Activity Theory, perezhivanie) with practical applications in educational design. Grants & Collaborations Co-developed INGENIUM PhD scholarships program Collaborated on projects with engineering and mathematics departments Labs/Teams Participates in interdisciplinary teams at the University of Crete’s Research Center for the Humanities and STEM education initiatives.

Edith Alice Kovácsمشاهده پروفایل

دانشیار

• Multivariate Statistics
• Probability Graph Models
• Artificial Intelligence
• +۸ مورد دیگر

Edith Alice Kovács is an Associate Professor at the Department of Differential Equations, Budapest University of Technology and Economics (BME). She holds a PhD from the West University of Timisoara (2005) and has taught at multiple institutions, including the General College of Entrepreneurship (ÁVF) and universities in Arad. Her research focuses on multivariate statistics, probability graph models, information theory, AI/ML, network reliability, and mathematical modeling in finance/medicine. She has received the BME Innovation Award 2020 for anomaly detection work. Kovács has presented at conferences worldwide, including the European Conference on Operational Research and the IEEE SACI conference. Her teaching spans subjects like economic modeling, operations research, and data science across BME and ÁVF programs. Education: BSc and MSc in mathematics from the West University of Timisoara (1994), PhD in Mathematics (2005). Professional roles include full-time employment at BME since 2015 and prior experience at Aurel Vlaicu and Vasile Goldis Universities (1994–2000). Research interests include decision-making under uncertainty, metaheuristic algorithms, neural halos, and social network modeling. Recent work explores copula-based anomaly detection and vine copula structures. Kovács has contributed to projects like stochastic inventory modeling for TESCO and VNF fingerprinting for Nokia.

• Applied Mathematics
• Signal Processing
• Image Processing
• +۷ مورد دیگر

Prof. Dr. rer. nat. Andreas Tewes is a Professor of Applied Mathematics at the Department II Mathematics - Physics - Chemistry, Berlin University of Technology. His expertise spans mathematical methods for signal and image processing, machine learning, computer vision, and applications in medical physics, automotive radar systems, and mathematical education. Education: Diploma in Physics (University of Essen, 1998) PhD in Neuroinformatics (Ruhr University Bochum, 2006) Certificate in Medical Physics and Technology (Distance University of Kaiserslautern, 2000) His research focuses on facial recognition, medical imaging, and mathematical visualization through tools like GeoGebra. He also contributes to projects like voxels.berlin for digital teaching. Previously, he led sensor solutions at Hella Aglaia Mobile Vision GmbH and worked at Ruhr University Bochum's Institute of Neuroinformatics. As part of the GeoGebra working group (GIBB), he promotes visual learning methods and open educational software. His teaching includes courses in mathematics for medical physicists, engineers, and automated driving applications. Contact: atewes@bht-berlin.de .

Nina Juliana Whiteمشاهده پروفایل

مدرس

• Mathematics Education
• Calculus Instruction
• Student Engagement
• +۵ مورد دیگر

Nina Juliana White is a Lecturer IV and Associate Research Scientist in the Department of Mathematics at the University of Michigan. She also serves as the Coordinator of Math Instructor Professional Development, focusing on enhancing teaching practices. Her research interests center on Mathematics Education, particularly in calculus instruction, student engagement, and active learning strategies. She is involved in national initiatives like the CSPCC study, examining effective calculus programs across institutions. White has contributed to the development of assessment tools, such as the RMARS-Addendum for measuring math anxiety, and advocates for collaborative networks in education. Her work spans curriculum design, teacher training, and institutional reform in STEM education. Education and Professional Background: While specific educational details are not provided in the text, her roles imply advanced training in mathematics and education. She coordinates professional development programs, indicating expertise in pedagogical strategies and institutional collaboration. Research Focus: White’s work addresses challenges in undergraduate mathematics education, including student anxiety, effective teaching methods, and curriculum alignment. She has authored studies on calculus instruction in community colleges, mastery-based assessments, and the impact of oral vs. traditional assessments in teacher training. Her research often bridges theoretical frameworks with practical classroom applications. Grants and Projects: As Principal Investigator of the MaCSS Scholars Program, she leads initiatives supporting students in mathematics. She is also involved in the Math LCIT (Learning Communities in Instructional Technology), emphasizing technology integration in education. Labs and Teams: Her coordination of the Math Instructor Professional Development program highlights her role in fostering collaborative learning environments and institutional networks for mathematics educators.

Mirela Vinerean-Bernhoffمشاهده پروفایل

استادیار

• Kinetic Theory
• Discrete Velocity Models
• Boltzmann Equation
• +۳ مورد دیگر

Mirela Vinerean-Bernhoff is an Assistant Professor in Mathematics Research at Karlstad University, Sweden. She holds dual citizenship (Romanian and Swedish) and has been affiliated with Karlstad University since at least 2004, where she has contributed to both research and pedagogical innovation. Her research focuses on kinetic theory, particularly discrete velocity models (DVMs) for the Boltzmann equation, and their applications in physics and engineering. She is also deeply involved in mathematics education, developing courses that integrate computational tools like GeoGebra and Cabri Geometry to enhance student learning. Education Background: She earned a M.Sc. in Mathematics and Informatics from 'Lucian Blaga' University (Sibiu, Romania, 1997), followed by a Licentiate Exam (Karlstad University, 2004) and a PhD in Mathematics (Karlstad University, 2005). She has completed extensive pedagogical training, including a 'Högskolepedagogik' course (2006) and specialized didactic projects. Key Research Interests: Construction of discrete kinetic models without spurious invariants, applications to binary gas mixtures, and the development of educational tools for geometry and engineering mathematics. Her work bridges theoretical physics and applied pedagogy, emphasizing visualization and computational methods. Her recent publications (2016–2024) highlight advancements in: 1) Using Discord for round-the-clock mathematics support in engineering programs, 2) Designing interactive educational tools with GeoGebra and dynamic mathematical maps, and 3) Exploring narrative didactics to enhance geometry education. While no scientific awards are explicitly mentioned, her contributions to both kinetic theory and mathematics education are substantial. Pedagogical Innovations: She pioneered projects like 'Geometry with Project' (2009) for junior lecturers and 'An exploratory approach to engineering mathematics using GeoGebra' (2015). These initiatives emphasize student-centered learning, flipped classrooms, and the integration of digital tools into assessments. Labs/Teams: Her work involves interdisciplinary collaborations, particularly with engineering and education technology teams at Karlstad University. She co-authored projects with institutions like the high school 'Älvkullen' Karlstad, focusing on GeoGebra implementation in secondary education.

• Mathematics Teaching Methodology
• Elementary Mathematics
• Geometry
• +۳ مورد دیگر

Milan P. Milikić is an Assistant Professor at the Faculty of Pedagogical Sciences, University of Kragujevac in Jagodina. He holds a Doctorate in Mathematics Teaching Methodology (2023), a Master's in Teaching Methodology (2023), and a Diploma in Mathematics (2010/2012). His primary research focuses on mathematics education methodologies, particularly in elementary and primary education, with a strong emphasis on technology integration (e.g., GeoGebra) and pandemic-era educational challenges. Professional activities include teaching core subjects like Mathematics Teaching Methodology, Methodical Mathematics Practicum, and Geometry Concepts Development. He actively participates in international projects such as the Erasmus+ 'Out and About' initiative (2021–2023) and bilateral cooperation with Montenegro and Slovenia. His memberships include the Society of Mathematicians of Serbia and expert roles in textbook evaluation committees. Key research themes include online learning efficacy during crises, software applications in geometry education, and pre-service teacher competencies. His work bridges traditional pedagogical methods with modern digital tools, emphasizing practical classroom applications.

Antonio Montesمشاهده پروفایل

استاد

• Computer Algebra
• Symbolic Computation
• Gröbner Bases
• +۶ مورد دیگر

Antonio Montes is a faculty member in the Departament de Matemàtica Aplicada at Universitat Politècnica de Catalunya (UPC), with affiliations to both the Facultat de Matemàtiques i Estadística and the Facultat d'Informàtica de Barcelona. He has taught a wide range of courses from 1981 to 2013, including Computer Algebra, Calculus, Symbolic Computation, and foundational mathematics for computer science and mathematics students. Research Focus: Computer Algebra, Symbolic Computation, Parametric Polynomial Systems, Gröbner Bases, Automatic Geometric Theorem Proving, Locus and Envelope Computation. Key Contribution: Development of the Gröbner Cover method and the grobcov.lib library in Singular, enabling canonical discussion of parametric polynomial systems. Major Publication: Author of the book The Gröbner Cover (Springer, 2018), which serves as a comprehensive theoretical and practical guide to the method. The recent articles highlight a strong and consistent research trajectory centered on the Gröbner Cover and its applications in symbolic computation and geometry. His work bridges theoretical algebra with practical software implementation, particularly in dynamic geometry environments like GeoGebra. The publications span algorithmic improvements, canonical representations, and applications to geometric theorem discovery, demonstrating both depth and interdisciplinary impact. The grobcov.lib library is a major software contribution, widely used in Singular for parametric system analysis. His research has enabled exact algebraic solutions in dynamic geometry, providing taxonomies to distinguish true loci from extraneous components. Collaborations with Michael Wibmer, Tomás Recio, and Montserrat Manubens have advanced the field of comprehensive Gröbner systems. Antonio Montes has made significant contributions to the theory and application of symbolic computation, particularly through the development and dissemination of the Gröbner Cover method. His work combines deep theoretical insight with practical software engineering, influencing both computer algebra and automated geometry. He has advised or collaborated with researchers in related areas, though formal advisees are not listed. His innovations continue to be applied in mathematical software and geometric reasoning systems.

María Pilar Vélez Melónمشاهده پروفایل

استاد

• Computer Science
• Commutative Algebra
• Geometry
• +۳ مورد دیگر

María Pilar Vélez Melón is a Professor at the Higher Polytechnic School of Nebrija University , specializing in applied mathematics and automated reasoning. She earned her PhD in 1995 from Universidad Complutense de Madrid with the thesis La geometría de los abanicos en dimensión 2 , supervised by Dr. Jesús María Ruiz Sancho. Her research focuses on automated geometry theorem proving , algebraic geometry , and symbolic computation , particularly through her involvement with the MA Nebrija Research Group on Mathematics and its Applications . Her work emphasizes the integration of GeoGebra Discovery for educational purposes, including automated reasoning tools to detect geometric truths and handle degeneracies. She has co-authored studies with Tomas Recio, Zoltán Kovács, and others, spanning topics like real singularities in space curves, convexity algorithms, and computational geometry applications.