جستجوی استاد راهنمای دانشگاهی

• topological data analysis
• machine learning
• mathematical statistics
• +۶ مورد دیگر

Maxim Evgenievich Beketov is a Research Fellow at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), where he has been working since 2020. He is affiliated with the Institute of Artificial Intelligence and Digital Sciences and the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis, contributing to cutting-edge research in computational methods and artificial intelligence. His educational background includes: Master's degree (2017) in Applied Mathematics and Physics from Moscow Institute of Physics and Technology Bachelor's degree (2015) in Applied Mathematics and Physics from Moscow Institute of Physics and Technology Beketov's research spans multiple interdisciplinary fields with a strong mathematical foundation. His primary interests include topological data analysis, machine learning, mathematical and Bayesian statistics, differential geometry, and computational neuroscience. He applies these methods to problems in dimensionality reduction, variety assessment, and graph neural networks. His work bridges theoretical mathematics with practical applications in artificial intelligence and neuroscience, particularly in understanding cognitive processes through topological approaches. An analysis of his recent publications reveals a strong focus on topological methods in machine learning, with increasing emphasis on applications to neuroscience and cognitive mapping. His work demonstrates a progression from theoretical mathematical foundations toward practical implementations in spiking neural networks, traffic control systems, and music information retrieval. The interdisciplinary nature of his research connects computer science, mathematics, and neuroscience through topological approaches. His scientific achievements include: High Professional Potential Group (HSE Personnel Reserve), Category: New Researchers (2025) Beketov has been actively involved in academic teaching, offering courses including Introduction to Discrete Differential Geometry and Mathematical Analysis. His research is supported through the HSE University Basic Research Program, as acknowledged in his publications. He collaborates with researchers across multiple institutions, as evidenced by his co-authorship on papers with numerous collaborators. He is a core member of the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis, where he contributes to projects involving topological data analysis, machine learning, and computational neuroscience. His work in the laboratory focuses on developing advanced mathematical methods for analyzing complex data structures, with applications ranging from cognitive neuroscience to transportation systems.

• Cognitive Psychology
• Analogy Research
• Relational Representation
• +۳ مورد دیگر

Penka Hristova is an Associate Professor in the Department of Cognitive Science and Psychology at New Bulgarian University, where she teaches cognitive psychology, memory, learning, and research methods across undergraduate, graduate, and doctoral programs. Her office is located in Room 414A, Building I, with regular office hours on Wednesdays and Fridays. Her research focuses on cognitive mechanisms of analogical reasoning and relational representation, particularly examining: (1) cognitive resource demands in analogical mapping and relational encoding, (2) long-term memory representations driving analogies, and (3) emotional modulation of analogical processes. She primarily employs behavioral experiments measuring reaction times and accuracy (d'). Her applied work targets educational psychology, developing methods to enhance transferable knowledge through relational reasoning in primary and secondary education. Analysis of her recent publications reveals a consistent trajectory in cognitive psychology with increasing emphasis on educational applications. Her 2024 work extends relational reasoning research to preschoolers through participatory science learning, while earlier studies established foundational mechanisms of unconscious analogy processing and emotional influences on cognition. The publications demonstrate methodological consistency in behavioral experimentation while progressively bridging basic cognitive research with educational practice. Professor Hristova has participated in multiple international research projects applying cognitive science principles to educational contexts, though specific project details and funding sources are not documented in the provided materials. She teaches courses including PSYB503 Memory and Learning and contributes to elementary education programs focusing on foreign language pedagogy.

Angela Kaindlمشاهده پروفایل

استاد

• Pediatric Neurology
• Epilepsy
• Neurodevelopmental Disorders
• +۳ مورد دیگر

Prof. Dr. Angela Kaindl is an active faculty member specializing in pediatric neurology and neurodevelopmental research, with a focus on epilepsy mechanisms, genetic disorders, and cognitive development. Her work bridges clinical neurology and basic neuroscience, particularly in understanding memory consolidation across developmental stages. Her research examines critical areas including: Epilepsy pathophysiology and precision medicine approaches (e.g., TRPM3-linked encephalopathy) Neurodevelopmental outcomes in congenital conditions (corpus callosum agenesis, microcephaly) Memory formation dynamics in typical/atypical development (preterm/term infants vs. adults) Genetic basis of brain malformations (MN1 truncation, DYNC1H1 disorders) Analysis of her recent publications reveals strong thematic focus on: pediatric epilepsy interventions, neuroanatomical correlates of memory, genetic determinants of brain development, and neurocognitive outcomes in congenital disorders. Her work employs diverse methodologies including neuroimaging, molecular genetics, and systematic clinical evaluations. No awards, students, or explicit affiliation details were documented in the source materials. Collaborative networks include multidisciplinary teams across neurology, genetics, and psychology research groups.

Jorge Franganilloمشاهده پروفایل

استاد

• Audiovisual Documentation
• Digital Formats Management
• Content Creation
• +۷ مورد دیگر

Jorge Franganillo is a Professor and researcher at the University of Barcelona's Faculty of Information and Audiovisual Media, where he coordinates the Master's Degree in Digital Content Management since 2023. He belongs to multiple teaching collectives including GIDD, CAV, CSM, GCD, and Contracted teaching staff. His international experience includes teaching positions at Hochschule der Medien (Stuttgart), Fachhochschule Kärnten (Villach), Jan Amos Komenský University (Prague), University of Dubrovnik, University of Bucharest, and Polytechnic University of Valencia. Dr. Franganillo holds a Doctorate in Information and Communication. His academic journey reflects a deep commitment to bridging theoretical knowledge with practical applications across various international contexts in the field of information science and audiovisual media. His research spans several interconnected domains focused on the evolving digital landscape. Franganillo investigates how individuals manage personal information across multiple devices and platforms, examining the psychological aspects of digital organization. He explores the application of artificial intelligence in content creation, particularly analyzing both the opportunities and ethical challenges presented by generative AI technologies. His work on digital formats management addresses the technical and organizational challenges of preserving digital information over time. Franganillo also contributes significantly to the field of clear language communication, particularly through his analysis of the ISO 24495-1 standard for plain language in official communications. His research on television nostalgia and segment programming reveals how audiovisual archives are being creatively repurposed in contemporary media. Franganillo's recent publications demonstrate a clear trajectory toward examining the intersection of emerging technologies with information management practices. His work increasingly focuses on AI applications across multiple domains - from library science to media production - while maintaining a critical perspective on ethical implications. He has expanded his research to include analysis of digital communication clarity in public administration and the psychological impact of AI-generated content on media consumers. His scholarly output shows a consistent pattern of addressing timely issues at the forefront of information science and digital communication. As coordinator of the Master's Degree in Digital Content Management, Franganillo guides numerous student projects and research initiatives. He has participated in significant European projects including eMEDia (2013-2017) and CRISH (2017-2018), demonstrating his capacity to secure and manage substantial research funding. His work with the UB DIBA Chair of Applied Communication to Public Administrations highlights his commitment to knowledge transfer between academia and public institutions. Franganillo actively participates in the Research Center for Information, Communication and Culture (CRICC) and the Teaching Innovation Group in Communication and Audiovisual Media (In-COMAV). These affiliations provide collaborative frameworks for his research and enable him to integrate theoretical insights with practical applications in educational settings. His involvement in these research groups facilitates interdisciplinary approaches to complex information challenges in contemporary society.