جست‌وجوی استاد و پژوهشگر

• Science Education
• Pedagogical Content Knowledge
• Teacher Training
• +۷ مورد دیگر

Jose Javier Verdugo Perona is an Associate Professor in the Department of Experimental Sciences at the Faculty of Teacher Training, University of Valencia. His academic work centers on science education, particularly focusing on pedagogical content knowledge, teacher training, and science literacy. His research interests include: Pedagogical Content Knowledge (PCK) in science Pre-service teacher education Socioscientific issues and argumentation Nature of science (NOS) Critical and reflective thinking in science education Environmental and sustainability education His recent publications (2022–2025) show a consistent focus on understanding pre-service teachers' knowledge, attitudes, and argumentation skills regarding socioscientific issues, sustainability (particularly the UN Sustainable Development Goals), and science teaching. He has also contributed to studies on metacognition in problem-solving and chemistry education. His methodological approach often involves developing and validating assessment instruments for science and pedagogical knowledge. Dr. Verdugo completed his doctoral studies at the University of Valencia in 2017 with a thesis on disciplinary and pedagogical content knowledge in primary science teachers. He is a member of the research group "CDC: Pedagogical school content knowledge: grounds of the teachers' instructional analysis and action". He actively supervises theses and has contributed to numerous research projects in science education. His work bridges theory and practice in teacher education, aiming to improve science instruction through better understanding of teacher knowledge and student engagement with complex scientific issues.

Cynthia Liemمشاهده پروفایل

دانشیار

• Multimedia Computing
• Human-Centered AI
• Music Information Retrieval
• +۱۰ مورد دیگر

Cynthia Liem is an Associate Professor at the Multimedia Computing Group, part of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology (TU Delft). Her work uniquely bridges computer science and music, leveraging her dual expertise in both domains. Education: BSc and MSc in Media and Knowledge Engineering (Computer Science), TU Delft (2007, 2009); PhD, TU Delft (2015); BMus and MMus in Classical Piano Performance, Royal Conservatoire, The Hague (2009, 2011). Her research centers on human-centered multimedia analysis, with two core themes. First, she investigates how to algorithmically surface information in large multimodal archives that users would not discover through conventional search or recommendation systems, aiming to broaden user perspectives and help uncover underutilized digital content. Second, she focuses on validation and validity in data science, particularly in contexts where human responses are implicit and hard to measure, drawing inspiration from psychometric validity in the social sciences. Her work emphasizes real-world applicability, especially in music and cultural heritage domains. The two recent publications highlight her engagement with cutting-edge AI challenges: one explores algorithmic recourse dynamics, while the other examines evolutionary algorithms in adversarial example generation, indicating strong interests in robustness, explainability, and human-aligned AI systems. Notable scientific recognitions include: Google Anita Borg Scholarship (2008) Google European Doctoral Fellowship (2010) Top-5 nominee, New Scientist Science Talent Prize (2016) Cynthia Liem has been involved in several significant research projects, including the H2020 TROMPA project on crowd-powered enrichment of public-domain music, an NWO-KIEM project on musician well-being, an NWO-Veni project on perspective-broadening in recommender systems, and an ERASMUS+ initiative on big data in psychological assessment. She collaborates with key institutions such as the National Library of The Netherlands and CDR/Muziekweb. Beyond academia, she remains active as a performing pianist, notably in the Magma Duo, which won first prize at the A Feast of Duos competition and was part of the Dutch Classical Talent Tour, leading to a national concert tour. There is no indication of lab or research team leadership beyond project involvement, though her role as an Associate Professor suggests supervision of students and researchers. Future work appears directed toward socially responsible AI, improved validation frameworks, and interdisciplinary applications of music and data science.

Tomohiro Uchiyamaمشاهده پروفایل

دانشیار

• Algebraic groups
• Geometric invariant theory
• Spherical buildings
• +۶ مورد دیگر

Dr. Tomohiro Uchiyama is a tenured Associate Professor at the Faculty of International Liberal Arts, Soka University in Japan. He holds a PhD in Mathematics from the University of Auckland, an MSc and Graduate Diploma in Mathematics from the University of Canterbury, and a BA in Economics from Hitotsubashi University. As a lifetime member of the Alexander von Humboldt Foundation, he previously held a Humboldt research fellowship in Germany through the Research Explorer Ruhr program. His educational background combines advanced mathematical training with economic theory, enabling his unique interdisciplinary research approach. He completed his doctoral work at the University of Auckland focusing on algebraic groups, building on earlier mathematical studies at the University of Canterbury, while his undergraduate economics education at Hitotsubashi University provides the foundation for his economic modeling research. Dr. Uchiyama's research spans two major interconnected domains. In pure mathematics, he investigates Serre's notion of complete reducibility for subgroups of reductive algebraic groups using geometric invariant theory and spherical buildings, engaging with the recently proved center conjecture of Tits. His mathematical economics research applies chaos theory to economic dynamics, seeking complete characterizations of topological chaos in economic models while using ergodic theory to predict outcomes even in chaotic systems. His publication record shows a consistent trajectory from foundational mathematical work to interdisciplinary economic applications. Among his notable achievements are multiple Alexander von Humboldt fellowships and lifetime membership in the Foundation, which enables him to host German researchers. His animation film "Dancing in the rain," produced with his wife Chao-chun Yeh, has been selected for prestigious international festivals including Oberhausen, BUFF Malmö, New York International Children's Film Festival, and Athens Animfest. Dr. Uchiyama actively mentors students across all academic levels, supervising research in algebraic groups (PhD/Masters), cryptography, game theory, microeconomics, and AI. His current research is supported by a JSPS grant-in-aid for early-career scientists (2022-2028) and previous Humboldt fellowships. He leads the Uchiyama Seminar where students develop skills in Python AI programming, Android Studio, and game development, maintaining an active blog documenting their progress.

Michael Dolislagerمشاهده پروفایل

دانشیار

• Economics
• Economic Development
• Developing Economies
• +۱ مورد دیگر

Michael Dolislager is an Associate Professor in the Department of Computing, Mathematics and Physics at Messiah University. His research focuses on developing economies, with fieldwork conducted in Malawi, South Africa, and Zambia. Prior to academia, he worked as an investment executive, financial analyst/bookkeeper, and studied Spanish in Guatemala. B.A. in Economics & B.A. in Management, Hope College Ph.D. in Agriculture, Food and Resource Economics, Michigan State University His teaching portfolio includes Principles of Macroeconomics , Managerial Economics , and Economic Development . His professional background enriches his courses with practical examples.

Arvind Bordeمشاهده پروفایل

عضو هیئت علمی

• Relativity & Cosmology
• Topology
• Mathematical Physics
• +۱۰ مورد دیگر

Arvind Borde is a Senior Professor of Mathematics and Physics at Long Island University, Post campus, where he also serves as Graduate Co-Director in the Department of Mathematics. He is affiliated with the College of Liberal Arts and Sciences and has made significant contributions to mathematical physics, particularly in relativity, cosmology, and topology. His work has had international recognition, including citations at Stephen Hawking's 60th birthday symposium and features in Nature . B.S., Bombay University M.A., Ph.D., Stony Brook University His research focuses on foundational questions in theoretical physics: whether the universe had a beginning, its global shape, and the nature of energy in spacetime. He is best known for the BGV theorem (with Guth and Vilenkin), which proves that inflationary models cannot be past-complete, suggesting a cosmic beginning. His work uses abstract mathematical methods pioneered by Penrose, Hawking, and Geroch to derive general results about spacetime structure. In addition to physics, Borde has deep expertise in computer science, especially in the TeX typesetting system, having authored multiple books and software tools. More recently, he has explored design and food history, co-authoring a biography of ceramic artist Eva Zeisel. The 15 most recent publications reflect a sustained engagement with cosmology, general relativity, and mathematical physics, with key themes including initial singularities, energy conditions, topology change, and baby universes. Later works also highlight his contributions to computing and digital document design, showing a unique interdisciplinary trajectory. Notable scientific awards include: Trustees Award for Scholarly Achievement (1995/96, single work) Trustees Award for Scholarly Achievement (2005, lifetime achievement) KITP Scholar, Kavli Institute for Theoretical Physics, UC Santa Barbara (2007–2009) He has advised graduate students in physics and mathematics and secured grants supporting advanced computing infrastructure, including founding the Southampton College Technology Center. He has held visiting positions at MIT, Tufts University, Brookhaven National Lab, and UC Santa Barbara. His outreach includes establishing a computer museum at LIU Post and contributing to public discourse through media features in The New York Times , Newsday , and the Boston Globe . Borde leads interdisciplinary research initiatives combining physics, computing, and design. He founded the advanced computing facility at Southampton College and maintains an active research group exploring quantum gravity, cosmology, and digital publishing technologies.

Julien Arinoمشاهده پروفایل

استاد

• Mathematical Epidemiology
• Mathematical Population Dynamics
• Data Science
• +۳ مورد دیگر

Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.

Maria Cristina Molinariمشاهده پروفایل

پژوهشگر

• Political Economy
• Game Theory
• Social Network Analysis
• +۵ مورد دیگر

Maria Cristina Molinari is a Researcher at the Department of Economics , Ca' Foscari University of Venice. Her work bridges Political Economy , Game Theory , and Social Network Analysis , with a focus on historical institutional design and corruption dynamics. Research interests include: Electoral systems in pre-modern republics Corruption and privatization Marital network structures Lot-based selection mechanisms Her recent publications emphasize computational social science approaches to historical data, particularly Venetian governance and Genoese voting systems. Teaching responsibilities involve Political Economics courses for undergraduate programs. She is affiliated with the Economics Degree Commission and Economics Department Board , with research funded by MIUR (PRIN 2008-2010: Information markets and institutional efficiency ). Publications span peer-reviewed journals, book chapters, and educational textbooks.

• Mathematics Education
• Didactics of Mathematics
• Proof Comprehension
• +۹ مورد دیگر

Dr. Katharina Kirsten is a researcher at the Institute for Didactics of Mathematics and Informatik, Department of Mathematics and Computer Science, University of Münster. Her work focuses on empirical studies in undergraduate mathematics education, particularly proof comprehension, instructional videos, and the impact of teaching modes (on-campus vs. distance) on student learning. Her research interests lie at the intersection of mathematics education, cognitive science, and educational technology. She investigates how students engage with mathematical proofs, use instructional videos, and develop cognitive and affective traits during their early university studies. Key areas include proof construction, example usage, validation strategies, and the design of effective digital learning materials. The recent publications highlight a strong focus on comparative studies of learning environments (e.g., flipped classrooms, synchronous distance vs. on-campus), mode effects in assessments, and detailed analyses of student behaviors in proof-related tasks. Her work frequently employs empirical methodologies to assess performance gains, viewing strategies, and affective outcomes such as interest and self-efficacy. Dr. Kirsten has been active in presenting her research at major international conferences including ICME, ERME, and GDM. She is a key contributor to the ProVie project, which explores strategic video use in proof-based instruction. While no formal advising or grant information is listed, her collaborative publications suggest active involvement in research teams and projects.

• Educational Psychology
• Cooperative Learning
• Transactive Communication
• +۴ مورد دیگر

Prof. Dr. Martin Hänze is a Professor of Educational Psychology at the University of Kassel since 2005. His academic career includes prior professorships at the Technical University of Berlin, University of Siegen, and University of Giessen, alongside research and teaching roles at various institutions. Education: Diplom-Psychologe, University of Göttingen (1990) Promotion zum Dr. phil., University of Kassel (1993) Habilitation, University of Kassel (2001) Research Interests: Martin Hänze’s work focuses on cooperative learning, transactive communication, and pedagogical strategies in higher education and secondary schools. Key areas include cognitive and emotional factors affecting learning, student collaboration, and instructional design for transactive dialogue. Recent Publications: His research emphasizes structured interventions to enhance cooperative learning outcomes, such as training transactive communication, heuristic worked examples in mathematics, and the role of digital media in teacher education. Articles span topics like student motivation, knowledge co-construction, and scaffolding in science education. Grants & Projects: Active projects include DFG-funded studies on sustainable learning mechanisms and BMBF-supported initiatives like PRONET-D, focusing on digital education networks. Past projects address interprofessional learning, cross-age tutoring, and self-directed science instruction. Editorial Roles: He serves on editorial boards for journals like Instructional Science and Educational Psychology , and as a reviewer for numerous educational and psychological publications.

• Developmental Psychology
• Educational Psychology
• Learning Sciences
• +۳ مورد دیگر

Anne Ludwig is a research associate at the University of Kassel, currently affiliated with the Department of Developmental Psychology. She works on the DFG-funded project "Promoting lasting learning by combining spacing with worked examples" under Prof. Dr. Mirjam Ebersbach. Education : Master of Arts in Empirical Educational Research (2023), First State Examination in Primary School Teacher Training (2019), and Allgemeine Hochschulreife (2014). Her research focuses on cognitive learning strategies, particularly the interplay of spacing effects and worked examples in educational contexts. She explores how these methods enhance mathematics learning and long-term retention in primary education. Recent publications highlight her contributions to optimizing instructional design through empirical studies. While no specific awards are documented, her involvement in multiple research projects (e.g., LEO, Q4L, POLKA, PRIUS) underscores her active role in educational research. Grants : DFG research project "Promoting lasting learning by combining spacing with worked examples" (2024–). Ludwig collaborates with interdisciplinary teams, including the Empirical School and Instructional Research group under Prof. Dr. Frank Lipowsky, and maintains ties to the Institute for Didactics of Mathematics and the Department of Human Sciences.

• Science Education
• Pedagogical Content Knowledge
• Entrepreneurship Education
• +۳ مورد دیگر

Assoc. Prof. Dr. Tufan İNALTEKİN serves as an Associate Professor in the Department of Mathematics and Science Education at Kafkas University's Dede Korkut Faculty of Education. With a career spanning over two decades in academia, he has held multiple leadership roles including Department Head (2014-2016, 2016-2017) and Vice Dean (2015-2017) at Kafkas University, demonstrating significant institutional involvement beyond his teaching and research responsibilities. His academic journey began with a BA in Mathematics and Science Education from Kafkas University (2001-2005), followed by a Master's Degree in Primary Education (2005-2008), and culminated with a PhD in Science Education from Marmara University (2010-2014). His educational background established a strong foundation for his specialization in science teaching methodologies and curriculum development. Dr. İNALTEKİN's research primarily focuses on Science Education with particular emphasis on pedagogical approaches, student conceptual understanding, and teacher professional development. His work explores innovative teaching methods including context-based learning, entrepreneurship integration, and life skills education within science curriculum. He has conducted extensive research on middle school students' understanding of scientific concepts across various domains including astronomy, physics, and chemistry, with special attention to misconceptions and conceptual change processes. His recent publication record shows consistent scholarly output with 94 total publications including 36 articles, 41 conference papers, and 17 book chapters. The research trajectory demonstrates evolving focus from foundational science teaching methods toward more specialized areas such as psychological resilience for students with learning disabilities, entrepreneurship education in science, and life skills integration. His collaborative work with researchers like Arzu Kirman Bilgin and Ataman Karaçöp represents a significant portion of his scholarly output. Dr. İNALTEKİN has successfully supervised 7 master's theses on diverse topics including students' understanding of environmental issues, matter cycles in nature, and entrepreneurship skills development. He has secured funding for multiple research projects, including TÜBA and TÜBİTAK-supported initiatives focusing on informal learning opportunities (2022-2023), life skills education guide development (2018-2021), and nature education for gifted students (2017). His academic service includes editorial work as Associate Editor for Caucasian Journal of Science since 2014 and peer review activities for multiple academic journals. He maintains active membership in professional organizations including EPDAD (Teacher Education Programs Evaluation and Accreditation Association) since 2013 and Fen Eğitimi Araştırmaları Derneği (Science Education Research Association) since 2012, contributing to the broader academic community in his field.

Christopher Charlesمشاهده پروفایل

استادیار

• Mathematics Education
• Curriculum and Instruction
• Teacher Education
• +۳ مورد دیگر

Christopher Charles is an Assistant Professor in the Curriculum, Teaching and Learning (CTL) department at the University of Manitoba's Faculty of Education. He joined the university on July 12, 2021, following a 30-year career in mathematics education spanning Dominica, Canada, and international contexts. Ph.D. (2020), University of Alberta M.Ed. (2015), University of Alberta B.Ed. (2010), University of the West Indies Teacher Certification (1995), New Mexico State University & Dominica Teachers College His research focuses on: Inquiry-based teaching strategies Learners generating examples as pedagogy Teachers' and students' lived experiences with inquiry-based methods Integration of Indigenous perspectives in mathematics education Dr. Charles has served as a Numeracy Specialist for Dominica's Ministry of Education and contributed to curriculum development projects. He currently sits on the CERJ Editorial Board and the CCSLC mathematics Subject Panel.

Vince Lyzinskiمشاهده پروفایل

دانشیار

• Statistical Network Inference
• Graph Matching
• Vertex Nomination
• +۶ مورد دیگر

Vince Lyzinski is an Associate Professor in the Department of Mathematics at the University of Maryland, College Park, with additional affiliations in the Applied Mathematics, Statistics, and Scientific Computation (AMSC) program. His work spans statistical network inference, graph matching algorithms, and machine learning applications to complex networks. Ph.D. in Applied Mathematics and Statistics (2013), M.S.E. (2011), and M.A. (2007) from Johns Hopkins University B.S. in Mathematics from University of Notre Dame (2006) His research focuses on statistical network inference , particularly graph matching and vertex nomination , with applications to connectomics and adversarial activity analytics. Supported by DARPA MAA , AFOSR , and JHU HLTCOE , he develops algorithms like iGraphMatch for graph alignment and analysis. Recent publications (2025-2023) explore vertex label error impacts, network trimming for robustness, and stochastic blockmodel extensions. Key papers include "Asymptotically Perfect Seeded Graph Matching" and "ACRONYM: Augmented Degree-Corrected Network Models" . Scientific Awards : Best Paper Award at GTA3 2018 Workshop He has advised 13 Ph.D. students and 1 postdoc across UMD , JHU , and Texas A&M , including Keith Levin (now at UW-Madison) and Jesus Arroyo (now at Texas A&M). His DARPA-funded team includes researchers from UMass, UMD, BU, and JHU.

• Computer Science
• Information Theory
• Machine Learning
• +۳ مورد دیگر

Daniel Cullina is an Assistant Professor in Electrical Engineering, specializing in theoretical computer science and machine learning. His research explores fundamental aspects of adversarial robustness, graph alignment, and information theory, with applications spanning cybersecurity and data science. Research Focus: Adversarial machine learning: Robustness guarantees, attack/defense strategies for classifiers Graph algorithms: Alignment and recovery in random graph models like Erdős-Rényi Information theory: Fundamental limits of database matching and Gaussian alignment Coding theory: Deletion error correction and converse bounds His publications (28+ with 575+ Scopus citations) demonstrate consistent contributions to understanding adversarial vulnerabilities in ML systems and combinatorial algorithms for graph/data matching. Recent work (2020-2023) focuses on theoretical characterization of optimal losses under attacks and database alignment frameworks. With an h-index of 12, his research output shows sustained productivity since 2012, peaking in 2016 (8 publications) and maintaining 3-5 annual publications in recent years.

• Data Analysis in Business
• Public administration
• Artificial intelligence
• +۲ مورد دیگر

Pyatov Alexey Alexandrovich is an Associate Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE) in Moscow, where he has been working since 2019. He also serves as Deputy Director of the Department of Business Solutions for Data Platform and Machine Learning at VK Cloud since 2023. National Research University Higher School of Economics (2020–present): Associate Professor of the SAS Basic Department, Faculty of Computer Science VK Cloud (2023–present): Deputy Director of the Department of Business Solutions for Data Platform and Machine Learning SAS Institute LLC (2017–2022): Consultant, Senior Consultant, Group Leader in the Department of Analytical and Industrial Solutions Federal Customs Service (2013–2016): Deputy Head of Department, Risk Management and Operational Control Far Eastern Customs Administration (2008–2013): Senior Inspector, Chief Inspector, Deputy Head of Department Education: 2013: Candidate of Economic Sciences, specialty: Economics and management of the national economy, dissertation topic: Evaluation of the efficiency of economic activity of the regional customs administration: on the example of the Far Eastern customs administration 2008: Specialist degree from Russian Customs Academy, Faculty of Customs, specialty "Customs", qualification "Specialist" Research Interests: Dr. Pyatov specializes in Data Analysis in Business, Public administration, Artificial intelligence, Data management, and Machine learning and data analysis. His academic background in economics and customs administration has informed his transition into data science and computer science. His expertise bridges traditional economic analysis with modern data-driven approaches, particularly in business intelligence and analytics applications. Teaching Activities: Dr. Pyatov teaches several courses at HSE, including Research Seminar "Data Engineering" for Software Engineering students and "Data Analysis in Business" for Applied Mathematics and Computer Science students. His teaching spans multiple faculties, including the Faculty of Computer Science and the Faculty of Economic Sciences. Professional Activities: In addition to his academic role, Dr. Pyatov serves as Deputy Director of the Department of Business Solutions at VK Cloud, focusing on data platform and machine learning. His industry experience complements his academic work, providing practical insights into real-world data science applications.