Find Academic Supervisors

• Media Ethics
• Journalistic Practices
• Visual Communication
• +4 more

Dr. Marina Georgieva Marinova serves as Senior Lecturer at the Department of Journalism and Public Relations within the Faculty of Modern Languages at St. Cyril and St. Methodius University of Veliko Tarnovo. Her academic profile centers on media studies, journalism ethics, and visual communication with extensive publication history spanning over two decades. Current Researcher in 'Stimulating Interdisciplinary Research in Media Education' project (2025) Participant in 'Humanities and Journalism in Globalization Process' initiative (2012) Active contributor to international conferences across Europe Her research interests focus on contemporary media challenges including digital transformation in journalism, ethical frameworks for media professionals, and the evolving relationship between visual communication technologies and audience engagement. She examines how television practices adapt to online environments while maintaining journalistic integrity during political crises and pandemics. Analysis of her recent publications reveals consistent exploration of media ethics across diverse contexts - from multicultural reporting to election coverage. Her work demonstrates particular expertise in television journalism formats, mobile reporting innovations, and the pedagogical aspects of media literacy education in the digital age. Dr. Marinova actively participates in academic knowledge transfer through conference presentations and collaborative research projects addressing current media industry transformations. Her teaching and research integrate practical journalism applications with theoretical frameworks, particularly evident in her project work establishing media innovation centers and developing interdisciplinary approaches to media education challenges.

• Databases
• Software Engineering
• Data Warehousing
• +6 more

Breiman Alexander Davidovich is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science at the National Research University Higher School of Economics (HSE) in Moscow. He began working at HSE in 2010 and has 30 years of scientific and teaching experience. Previously, he served as an Associate Professor at the Department of Personal Computers and Networks at the Moscow State University of Instrument Engineering and Informatics from 1994 to 2013. He also works as a Senior Lecturer at the Luxoft Training Center since 2013 and as Head of the IT Department at Titan Meta LLC since 1996. National Research University Higher School of Economics (2010-present): Associate Professor/Invited Lecturer Moscow State University of Instrument Engineering and Informatics (1994-2013): Associate Professor Luxoft Training Center (2013-present): Senior Lecturer Titan Meta LLC (1996-present): Head of IT Department His educational background includes a Candidate of Technical Sciences degree (equivalent to PhD) from Moscow State Academy of Instrument Engineering and Computer Science in 1998, with a dissertation on "Database software for training systems with multimedia elements," and a degree in Computer Science from Moscow Institute of Instrument Engineering in 1994, specializing in "Computers, Complexes, Systems and Networks." Professor Breiman's research focuses on databases, software engineering, data warehousing, information systems, and knowledge engineering. His work spans theoretical database design, practical implementations of database systems, and educational applications of information technology. He has published extensively on database architecture, reliability engineering, and distributed systems, with a particular emphasis on practical applications in educational and business contexts. His teaching covers database systems, distributed databases, data warehouses, and advanced database topics across multiple programming languages and platforms. His publications reveal a consistent focus on database technologies, evolving from foundational database concepts to modern distributed and big data systems. He has explored specialized areas including embedded databases, social network analysis, process mining, and stream data processing systems, demonstrating both theoretical depth and practical application. Gratitude from the Faculty of Computer Science, HSE (July 2025) Best Teacher award (2021-2024) Best Teacher award (2016-2019) Best Teacher award (2013) Best Teacher award (2011) Professor Breiman has supervised numerous student theses at both bachelor's and master's levels, covering diverse topics in database systems, software engineering, and information systems. His students have developed applications ranging from distributed content delivery systems to health monitoring systems for diabetes patients. He teaches a variety of courses including Databases, Advanced Databases, Distributed Databases and Data Warehouses, and Database Construction, in both Russian and English. His teaching spans multiple campuses of HSE including Moscow, Perm, and Nizhny Novgorod. While not explicitly mentioning specific labs or research teams in the provided information, his work with students on practical implementations suggests active engagement with applied research projects, particularly in database technologies and their real-world applications.

• Linguistics
• Computational Linguistics
• Cognitive Science
• +7 more

Aniello De Santo is an Assistant Professor in the Department of Linguistics at the University of Utah, where he has been serving since July 2020. He earned his PhD in Linguistics from Stony Brook University in 2020 and is fluent in Italian, which informs his research on Italian syntax and processing. His research spans multiple disciplines with key interests in: Computational Linguistics and Syntax Cognitive Science and Theoretical Frameworks Artificial Intelligence and Machine Learning Applications Formal Language Theory and Complexity Psycholinguistic Processing Models De Santo's scholarly work demonstrates remarkable interdisciplinary integration, with publications in top journals across linguistics, cognitive science, and computer science. His recent work focuses on theoretical foundations in cognitive science (2024 publications on plausibility criteria and theoretical virtues), empirical investigations of Italian relative clause processing (2024), and innovative applications of machine learning techniques to linguistic problems. His research often bridges formal theoretical analysis with computational modeling and empirical validation. He has developed innovative educational approaches including an asynchronous general-education course "Language in the United States" (2023) and teaches a diverse range of courses in computational linguistics, syntax, and language studies. His extensive teaching portfolio includes Computers & Language, Introduction to Syntax, Computational Linguistics, and various research/thesis courses at both undergraduate and graduate levels. De Santo is actively engaged in community outreach as an organizer of the North American Computational Linguistics Open Competition (NACLO) for high school students, conducting practice sessions and hosting competition rounds since 2022. This work connects academic linguistics with pre-college education and demonstrates his commitment to promoting computational thinking in language studies.

• Medical AI
• Computer Vision
• Multimedia Systems
• +7 more

Pål Halvorsen serves as a Research Professor and Head of the Holistic Systems Department at Simula Research Laboratory, a prominent independent research institute in Norway. His work spans multiple interdisciplinary domains with a strong focus on applying artificial intelligence to solve complex problems in healthcare, medical imaging, and multimedia systems. As department head, he leads research initiatives that bridge computer science with practical applications in clinical settings and sports analytics. Halvorsen's research interests are deeply interdisciplinary, focusing on the intersection of artificial intelligence, medical applications, and multimedia systems. His work in medical AI particularly emphasizes gastrointestinal disease detection, polyp segmentation in colonoscopy procedures, and explainable AI systems that provide transparency in medical decision-making. In the sports domain, he develops advanced video analytics for soccer and ice hockey, creating AI-based systems for event detection, player tracking, and content optimization for social media. His research on multimodal data analysis addresses critical challenges in healthcare, including missing data imputation and the integration of diverse data sources for improved clinical outcomes. His recent publications demonstrate a consistent focus on practical AI applications that address real-world challenges, with particular emphasis on validation frameworks that bridge the gap between theoretical AI models and clinical implementation. Halvorsen's work often involves large-scale dataset creation, such as the OBF-Psychiatric dataset for mental health research and various sports analytics datasets, which have become valuable resources for the research community. Halvorsen's publication record shows a clear trend toward developing robust, clinically validated AI systems with strong emphasis on explainability and transparency. His research spans gastrointestinal endoscopy, cardiology (particularly ECG analysis), sports analytics, and psychiatric applications, with a common thread of addressing the practical challenges of implementing AI in real-world settings. The work consistently focuses on validation frameworks, benchmarking studies, and the development of datasets that advance the state of the art while addressing the practical limitations of current AI systems in healthcare and multimedia applications. While specific awards aren't mentioned in the available information, Halvorsen has established himself as a leader in organizing major research challenges including the Medico Multimedia Task at MediaEval, ImageCLEFmedical, and various Grand Challenges focused on detecting cheapfakes and AI-based video production for soccer. His leadership in these community-wide evaluation efforts has significantly contributed to advancing research methodologies in medical AI and multimedia systems. Halvorsen's collaborative approach is evident across his extensive publication record, which shows consistent partnerships with medical professionals, computer scientists, and domain experts across multiple institutions. His work on child interview training systems demonstrates collaboration with psychology and forensic experts, while his medical imaging research involves close partnerships with gastroenterologists and clinicians. This interdisciplinary collaboration model appears to be central to his research philosophy, ensuring that technical solutions address genuine domain challenges. His leadership of the Holistic Systems Department suggests he oversees multiple research teams working on diverse but interconnected projects spanning healthcare AI, sports analytics, and multimedia systems development.

• Information Centric Networking
• Distributed Systems
• Communication Quality
• +3 more

NAKAZATO, Hidenori is a Professor at the Waseda University, School of Fundamental Science and Engineering , specializing in Computer Science . His research focuses on Information Centric Networking (ICN) , Distributed Systems , and Communication Quality optimization. Education: Ph.D. and MS in Computer Science from University of Illinois (1993) Professional Memberships: IPSJ, IEICE, ACM, IEEE His work explores advanced networking paradigms like Named Data Networking (NDN) , IoT virtualization via platforms such as VirIoT , and edge cloud computing for multimedia workflows. Key contributions include optimized cache replacement algorithms and service function chaining frameworks to enhance resource utilization and reduce latency. His scientific awards include: Fellow , Institute of Electronics, Information and Communication Engineers (2018) Chairman's Award , IEICE Communication Systems Committee (2013) NAKAZATO's publications (94 papers, h-index 10) address topics like blockchain performance , NDN mobility support , and energy-efficient computing . His research projects involve collaborations with international teams on smart city applications and container orchestration using Kubernetes.

• Translation Studies
• Sign Language Accessibility
• Medical Translation Technology
• +4 more

Irene Strasly is a researcher affiliated with the School of Translation and Interpretation at the University of Geneva, specializing in sign language accessibility and medical translation technology. Her work focuses on developing speech-to-sign translation tools like BabelDr and SigLa to improve healthcare communication for deaf populations. Research interests include: Sign language technology development Medical terminology standardization Inclusive communication systems Cross-cultural adaptation of health surveys Human-computer interaction for accessibility Policy implementation in higher education Recent publications demonstrate expertise in: Machine learning for medical translation Deaf community engagement Web accessibility frameworks Terminology development Clinical workflow integration Language policy analysis

Dror WalterView profile

Assistant Professor

• Political Communication
• Computational Social Science
• Health Misinformation
• +7 more

Dror Walter is an Assistant Professor of Digital Communication in the Department of Communication at Georgia State University . He is also a core member of the Transcultural Conflict and Violence Initiative and holds the title of Distinguished Fellow at the Annenberg Public Policy Center of the University of Pennsylvania. Dr. Walter earned a Ph.D. and M.A. in Communication from the University of Pennsylvania, an M.A. in Political Communication from the Hebrew University of Jerusalem, and a B.A. in Philosophy, Political Science and Economics from the same institution. Research Interests: Political Communication and computational approaches to studying political discourse Health misinformation, vaccine hesitancy, and the spread of extremist health narratives Machine-learning techniques for frame analysis, network analysis, and thematic-diversity measurement in traditional and social media Impact of foreign influence operations on U.S. political communication Intersection of extremist political rhetoric and anti-vaccination attitudes Across more than 35 peer-reviewed articles and chapters (2016-2025), Walter’s scholarship has examined how computational social-science methods—such as unsupervised topic modeling, sentiment analysis, and mixed-method network analysis—can illuminate the structure and effects of political and health-related discourse online. A clear trend is the fusion of traditional media-effects theory with big-data techniques to understand the pathways through which misinformation and extremist narratives gain traction. Scientific Honors & Fellowships: Distinguished Fellow, Annenberg Public Policy Center, University of Pennsylvania Contact & Resources: Email: dwalter2@gsu.edu Phone: +1 404-413-5688 Office: 25 Park Place, Room 929, Atlanta, GA 30303 Full CV and additional materials available at communication.gsu.edu

• Photography
• Abortion Rights Activism
• Socially Engaged Art Practice
• +4 more

Emma Campbell is a Lecturer in Photography at Belfast School of Art, Ulster University, within the Faculty of Arts, Humanities & Social Sciences. Her academic work is deeply intertwined with her activism, particularly focused on abortion rights in Northern Ireland. Campbell holds significant external roles including co-convenor of Alliance for Choice (Northern Ireland's largest abortion rights organization), Trustee for Abortion Support Network, and Board Member for Outburst Queer Arts. Practice-based PhD from Ulster University (2024) on photography as an activist tool for abortion rights Member of the 11-strong Turner Prize winning Array Collective (2021) Active in reproductive justice advocacy since at least 2011 Emma Campbell's research centers on socially engaged art practice as a mechanism for social change, particularly regarding reproductive rights. Her work bridges creative methodologies with law and social policy, examining how visual practices can challenge political discourse around abortion. She explores the intersection of photography, activism, and policy-making, with particular focus on Northern Ireland's unique political context. Campbell's approach combines documentary practice with performative elements, creating spaces for dialogue around stigmatized experiences. Her recent publications and exhibitions reveal a consistent trajectory examining the relationship between visual culture and reproductive justice. Campbell's work increasingly incorporates collaborative methodologies, working with community organizations, policy makers, and healthcare providers to develop creative approaches to knowledge sharing. The research demonstrates how artistic practice can contribute to policy development while maintaining critical distance from institutional frameworks. Turner Prize 2021 Winner (as part of Array Collective) Turner Prize Nomination 2021 Campaign of the Year Award 2018 As a supervisor and collaborator, Campbell works closely with community organizations including Alliance for Choice and Abortion Support Network. Her AHRC-funded projects demonstrate significant grant capture, particularly the IAA portfolio examining reproductive citizenship, abortion doulas, and creative practice. These projects involve knowledge exchange with policy makers and healthcare providers, creating practical tools for improving abortion access and understanding. Campbell's creative practice operates through Array Collective, a Belfast-based artist collective that won the Turner Prize in 2021. The collective functions as both an artistic and activist platform, producing work that engages directly with political issues in Northern Ireland. Campbell also maintains a solo practice focused on documentary approaches to abortion journeys and reproductive rights.

Sebastian CheluView profile

Lecturer

• Multimedia Journalism
• Audiovisual Communication
• Digital Media Production
• +3 more

Sebastian Chelu serves as an associate teacher and PhD student at the Faculty of Communication and Public Relations, National University of Political Studies and Public Administration (NUPSPA) in Bucharest, Romania. He concurrently holds a teaching position at the Faculty of Arts, Hyperion University. His primary responsibilities include instructing the Multimedia Journalism course within master's programs and coordinating SRTV's post-production service—the largest department in Romania for image editing, sound mastering, and graphic design, handling the full spectrum of audiovisual production from raw footage to final broadcast. His research and professional focus centers on the Internet's transformative impact on media communication, particularly the rapid evolution of audiovisual content and the convergence of journalism with digital technology. He specializes in advanced post-production techniques including video editing, sound processing, color grading, and special effects, emphasizing how modern tools reshape storytelling through artistic manipulation of light and color. His work bridges academic instruction with industry practice, preparing students for multimedia journalism careers where technical software proficiency meets creative narrative development. Scientific Awards: No scientific awards, fellowships, or medals were documented in the provided materials. As an educator, Chelu mentors students in Multimedia Journalism while drawing from extensive collaborations with renowned Romanian directors including Liviu Ciulei, Geo Saizescu, Alexandru Tocilescu, and Ioan Cărmăzan, alongside television personalities such as Lucia Hossu Longin, Titus Munteanu, and Ioan Grigorescu. Though specific advisees and research grants remain unlisted, his teaching integrates real-world editing techniques and industry-standard software, providing students with practical insights into professional media production workflows and artistic decision-making processes. Chelu leads SRTV's post-production division, which unifies Romania's largest concentration of technical specialists—image editors, sound engineers, and graphic designers—within a single operational unit. This team executes the complete post-production lifecycle, from initial editing and sound refinement to complex visual effects and final color correction, ensuring broadcast-ready quality through meticulous attention to artistic detail. His dual academic-industry role positions him at the forefront of Romania's evolving media landscape, where traditional journalism increasingly merges with digital production technologies.

Wei WangView profile

Professor

• Wireless Networks
• Multimedia Communications
• QoE/QoS Optimization
• +8 more

Dr. Wei Wang is a Professor of Computer Science at San Diego State University (SDSU) within the College of Sciences . He joined SDSU in August 2014 after serving as an Assistant Professor at South Dakota State University (2010-2014). He earned his Ph.D. in Computer Engineering with Computer Science Emphasis from the University of Nebraska-Lincoln (2009), an MS in Information and Telecommunications Systems from Xian Jiaotong University (2005), and a BS in Computer Science/Engineering from the same institution (2002). Dr. Wang's research focuses on Wireless Networks , Quality of Experience (QoE)/Quality of Service (QoS) Optimization , Network Economics , Blockchain Applications , and Internet of Things (IoT) . His recent work explores Semantic Communications , Crypto-Economic Incentives for wireless systems, and Quantum Annealing Approaches for multimedia optimization. Over 15 years, he has published extensively on topics like NOMA Resource Allocation , Game-Theoretic Pricing Models , and Energy-Harvesting Wireless Sensors . Trends in Publications : His 2017-2025 work shows increasing focus on blockchain-integrated wireless systems (2024-2025), machine learning for signal processing (2023), and traditional wireless network economics (2018-2022). Scientific Awards : Excellent Educator Award, SD-SAIC Hackathon (2024) Best Paper Award, IEEE CAMAD (2022) SDSU CS Faculty of the Year (2016) IEEE Senior Member (2016) ACM Service Awards (2013-2015) Advising & Grants : Mentored 30+ students across Ph.D., M.S., and B.S. levels. Principal Investigator for $571,489 in NSF grants (2014-2023) and other industry-funded projects. Labs & Teams : Leads the Cyber Innovation Research Group at SDSU, focusing on QoE-driven wireless solutions and IoT optimization . Collaborates with IEEE MMTC (served as Director of Publicity Board) and NSF panels.

Yun PengView profile

Assistant Professor

• Intelligent Code Analysis
• Automatic Program Repair
• Software Ecosystem
• +3 more

Dr. Yun Peng is an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong, specializing in software engineering with a focus on intelligent code analysis, automatic program repair, and software ecosystems. With an active research profile, Dr. Peng serves on program committees for major conferences including ASE and ESEC/FSE. Dr. Peng's educational background includes doctoral training focused on programming languages and software engineering, though specific institutions aren't detailed in the available information. Their research primarily addresses challenges in type inference, code analysis, and the application of large language models to software engineering tasks. Research interests center on intelligent code analysis techniques, particularly in type inference systems for dynamic languages like Python. Dr. Peng has pioneered hybrid approaches combining static analysis with deep learning, as demonstrated in their influential ICSE 2022 paper on HiTyper. Recent work has shifted toward leveraging large language models for code review, program repair, and API recommendation, reflecting the field's evolution. Current projects examine LLM applications in secure code review, code efficiency optimization, and vulnerability detection in smart contracts. Dr. Peng's publication record shows a clear progression from foundational type inference research toward cutting-edge LLM applications in software engineering. The work spans multiple dimensions of code quality including security, performance, and maintainability, with tools like HiTyper, TypeGen, and APIBench making significant contributions to the research community. As a program committee member for top-tier conferences, Dr. Peng actively contributes to the software engineering research community. Their work has been recognized through publication in premier venues including ICSE, ASE, and ESEC/FSE, demonstrating consistent high-impact contributions to the field. Dr. Peng maintains an active research group focused on advancing the state of the art in intelligent code analysis, with current projects exploring the intersection of large language models and traditional program analysis techniques. The research has practical applications in developer productivity tools, security analysis systems, and software maintenance automation.

Richard GöbelView profile

Professor

• Multimedia Information Systems
• Information Systems
• Computer Science
• +2 more

Richard Göbel serves as a Professor and Research Group Leader for Multimedia Information Systems within the Department of Computer Science at Hof University of Applied Sciences. His office is located in Building G, Room G101 at Alfons-Goppel-Platz 1, 95028 Hof, with office hours held Thursdays from 10:00–11:00 by email registration. His research specializes in Multimedia Information Systems, focusing on digital media management, information retrieval architectures, and multimedia data processing frameworks. This encompasses content-based analysis, cross-modal retrieval systems, and scalable multimedia database design for modern applications. Professor Göbel leads the Research Group Multimedia Information Systems under the Institute for Information Systems (iisys), driving innovation in multimedia technologies through academic-industry collaborations. His current initiatives emphasize practical implementations of AI-driven media analysis tools within applied computing contexts.

• Contemporary Art
• Sculpture
• Digital Media
• +3 more

Dr Laura O'Connor is a Lecturer in Foundation Studies at Belfast School of Art, Ulster University, based at the Belfast campus. Her academic work bridges contemporary art practice with critical examinations of digital culture and Northern Irish identity. Her research interests focus on Contemporary Art , Sculpture , and Digital Media , with particular emphasis on data privacy in artistic contexts and collaborative practices. Her fingerprint analysis shows significant activity in Artists (100%), Belfast (62%), Sculpture (50%), Northern Ireland (39%), and Digital Arts (26%). Recent publication trends reveal a strong shift toward data privacy themes, with 2025 outputs examining user content ethics and digital rights. Her collaborative approach is evident across all works, frequently partnering with collectives like Array Collective. The Exhibition: User Content? (2025) exemplifies her critical engagement with data protection frameworks in digital art. Scientific awards: Turner Prize 2021 Winner (awarded to Array Collective of which she is a core member) Dr O'Connor actively participates in academic discourse through conference organization, including the 2025 LawTech Collider panel on user content and the 2024 'Curating Activism' workshop. Her collaborative model extends to institutional partnerships with IMMA (Irish Museum of Modern Art) and Rua Red, demonstrating significant engagement with national and international art institutions. Her work with Array Collective represents a sustained commitment to socially engaged art practices rooted in Northern Irish contexts while addressing global themes of self-determination and digital citizenship.

Cui YuView profile

Associate Professor

• Database Management
• Information Retrieval
• High-Dimensional Indexing
• +2 more

Dr. Cui Yu serves as an Associate Professor in the Department of Computer Science and Software Engineering at Monmouth University, where she maintains an active research program focused on database systems and information retrieval. With over two decades of scholarly contributions, her work bridges theoretical foundations and practical applications in data management. Her academic foundation includes a Ph.D. from the National University of Singapore, establishing her expertise in advanced database methodologies. This background enabled her pioneering work in high-dimensional indexing techniques that address the 'curse of dimensionality' in modern data systems. Dr. Yu's research program centers on innovative solutions for database indexing, query optimization, and information retrieval. She developed the influential iDistance method and FB+-tree indexing structures that transform high-dimensional data into manageable single-dimensional spaces. Her recent work demonstrates significant evolution from core database theory toward applied domains including privacy-preserving social networks, smart city infrastructure (notably CNN-based parking systems), and mobile applications for skill development. This trajectory reflects her ability to adapt database principles to emerging technological challenges while maintaining rigorous theoretical grounding. Analysis of her publication history reveals consistent leadership in database indexing innovation, with foundational work in the early 2000s maturing into diverse applications by the late 2010s. Her research maintains strong connections between theoretical indexing advances and real-world implementations across domains including multimedia retrieval, geospatial systems, and security applications. Her scientific recognition includes two significant U.S. patents: Apparatus and method for performing transformation-based indexing of high-dimensional data (US patent: 7117217, 2006) Transformation-based method for indexing high-dimensional data for nearest neighbor queries (US patent: 6,834,278, 2004) As an educator, Dr. Yu actively mentors students through research projects and application development initiatives. She teaches core curriculum courses including Computer Architecture, Database Systems at multiple levels (undergraduate CS 432, graduate CS 533), and Senior Capstone Projects. Her teaching load demonstrates substantial commitment to both foundational computer science education and advanced specialized topics, with consistent course offerings through 2025. She maintains active professional engagement through IEEE membership and continuous scholarly output.

• Educational Psychology
• Cognitive Psychology
• Game-Based Learning
• +4 more

Mylène Sanchiz serves as a Lecturer in Psychology within the Department of Human and Social Sciences of Education at the School of Education, University of Poitiers. She is affiliated with the CeRCA research laboratory (UMR 7295) and represents the SHSE department of INSPÉ since 2022. Her teaching portfolio includes Educational Psychology for MEEF 1st/2nd degree programs, Cognitive Psychology, Ergonomics of Human-Machine Interfaces, and Neuroscience and Learning for MEEF 4. Her research centers on cognitive processes in learning through games and digital tools, investigating interactions between individual characteristics (executive functions, knowledge, motivation), task requirements, and tool design. Key focuses include board/video game effects on socio-emotional skills and executive functions across educational cycles, and digital tool impacts on reading comprehension, motivation, and task interpretation. Methodologically, she examines learner strategies, behaviors, and perceived task requirements from both fundamental and interventional perspectives. Recent publications reveal strong thematic consistency in game-based learning and digital document comprehension. Her 2023-2024 work emphasizes contextual factors in game mechanics, prior knowledge effects, and flow states in learning environments. Earlier research (2019-2020) established foundations in hypertext processing, concept mapping, and individual differences in information search, demonstrating an evolution toward applied educational interventions while maintaining cognitive psychology rigor. Dr. Sanchiz actively contributes to academic governance as SHSE department representative and through research seminars. Her work bridges cognitive theory with classroom applications, particularly in leveraging games for socio-emotional development and optimizing digital tools for comprehension training from early childhood through primary education.