Find Academic Supervisors

• Translation Studies
• Cognitive Translation
• Emotion in Translation
• +4 more

Beatriz Naranjo Sanchez is a researcher at the University of Murcia, Spain, currently affiliated with the Translation, Didactics and Cognition research group and previously with the Translation, Lexicology and Writing Group. Her work bridges translation studies, cognitive psychology, and musicology through experimental methodologies. She earned her PhD from the University of Murcia in 2017 with the dissertation La influencia de la música sobre la calidad y la creatividad en traducción literaria (inglés-español, inglés-italiano) una aproximación estético-psicológica , supervised by Dr. Ana María Rojo López. Her research centers on psychological and emotional dimensions of translation processes, particularly examining how background music influences literary translation creativity, how anger affects decision-making with offensive content, and emotional processing in dubbing. She employs cognitive-experimental approaches to investigate narrative engagement, vocal qualities in emotionally charged scenes, and pandemic-related stressors on evaluative language translation. Analysis of her 2015-2023 publications reveals consistent focus on music-translation interactions and emotional variables, with methodological emphasis on laboratory experiments, psycholinguistic measurements, and cognitive assessments. Her work demonstrates interdisciplinary innovation through the fusion of aesthetic theory, cognitive science, and translation practice. Scientific awards: No awards documented in provided sources. Regarding advising and grants, while she supervises research within university groups, no specific students or funded projects were mentioned. Her institutional affiliation suggests collaborative research within translation psychology frameworks. She actively contributes to the Translation, Didactics and Cognition research group, which investigates cognitive-affective translation processes through experimental paradigms, likely involving lab-based studies on emotional and musical variables in professional translation contexts.

Jürgen CitoView profile

Associate Professor

• Software Engineering
• Explainable AI
• Performance Engineering
• +3 more

Jürgen Cito is an Associate Professor with tenure at Vienna University of Technology (TU Wien), specializing in software engineering, explainable AI, and performance engineering. He leads research at the IPA Lab (as indicated by his personal website) and maintains a visiting researcher position at Google. His academic journey began with joining TU Wien as an Assistant Professor in Spring 2020, with promotion to Associate Professor announced in April 2024. His research interests span multiple critical areas of modern software development, with particular focus on developer experience, program comprehension, and the intersection of AI with software engineering practices. His work bridges theoretical foundations with practical industrial applications, as evidenced by collaborations with major technology companies. Analysis of his recent publications reveals a strong emphasis on practical tools and methodologies that enhance software quality, performance, and security. His research trajectory shows increasing focus on explainable AI techniques applied to software engineering problems, performance prediction from source code, and automated security testing approaches that leverage large language models. best teaching award for distance learning for Web Engineering (2020) Cito actively contributes to the software engineering community through numerous conference committee roles, including program committee positions at ASE, ICSE, ESEC/FSE, and other major venues. His lab appears to focus on developer tools, program analysis, and AI-assisted software engineering, with connections to both academic and industrial research environments.

Enrique Ortega ToroView profile

Professor

• Sports Science
• Sports Performance Analysis
• Sports Pedagogy
• +4 more

Enrique Ortega Toro is a Full Professor at the Department of Physical Activity and Sport within the Faculty of Sports Sciences at the University of Murcia. His research focuses on technical-tactical performance analysis in sports, particularly in football, basketball, and volleyball, emphasizing rule modification effects, youth development, and educational values in sports. He holds a PhD in Sports Sciences from the University of Granada (2004), where his thesis analyzed ball possession patterns and self-efficacy in youth basketball. His work spans studies on age-related performance evolution, equipment scaling for youth athletes, and psychological aspects of sports participation. He leads the HUMSE research group (Human Movement and Sport Science), previously contributing to UMUSPORT. He has designed health programs like UMUCARDIO and UMU Fortalece tu espalda, targeting cardiovascular and musculoskeletal health in university employees. Collaborations include analysis of sports competition rules and feedback mechanisms in coaching. Research interests include sports pedagogy, nonlinear pedagogy applications, and the integration of scientific rigor with applied sports practices. Recent studies address competitive equity in basketball, serve efficacy in beach volleyball, and the impact of rule changes on youth athlete experiences. His work bridges academic research with practical sports education, emphasizing holistic athlete development.

• Security of Deep Learning Systems
• Side-Channel Attacks
• Privacy-Preserving Machine Learning
• +3 more

Dr. Yuanyuan Yuan is a Researcher at the Department of Computer Science, ETH Zurich, Switzerland, based at CNB H 104.1, Universitätstrasse 6, 8092 Zurich. Her work bridges computer security and machine learning with a focus on practical vulnerabilities in deployed AI systems. Her research centers on exposing and mitigating security flaws in deep learning deployments, particularly targeting trusted execution environments (TEEs) and on-device inference systems. Key contributions include pioneering side-channel attacks against TEE-shielded neural networks (CipherSteal, HyperTheft), bit-flip attack surfaces in DNN executables (BitShield), and novel testing methodologies for neural network robustness. She investigates cache/timing side channels, ciphertext analysis, privacy leakage in partitioned ML, and concept-based explainability. Analysis of her 2023-2025 publications reveals a cohesive focus on offensive security research for AI infrastructures, with consistent contributions to top venues in security and machine learning. Her work demonstrates expertise in low-level system interactions (memory, cryptography) applied to ML security, spanning attack vectors, defensive mechanisms, and validation frameworks. The research trajectory shows increasing sophistication in exploiting hardware-software interfaces while developing practical hardening techniques for real-world deployments.

Hongxin HuView profile

Professor

• Network Security
• Machine Learning for Security
• IoT Security
• +4 more

Hongxin Hu is a Professor and Associate Chair in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York (SUNY). His research spans security, networking, and machine learning, with publications across top conferences including security (S&P, CCS, USENIX Security, and NDSS), networking (SIGCOMM and NSDI), machine learning (NeurIPS, ICML, and EMNLP), and human-computer interaction (CHI and CSCW). His work has been funded by NSF (SaTC, CNS, IIS, OAC, SOC), USDOT, VMware, Amazon, Google, and Dell. Dr. Hu earned his PhD in Computer Science and Engineering from Arizona State University in 2012. His academic journey has led him to become a prominent researcher in cybersecurity with a strong publication record and significant research impact. Dr. Hu's research interests encompass a wide range of topics at the intersection of security, networking, and artificial intelligence. His work focuses on Emerging Network Technologies and Security (5G/Future-G, NFV, SDN, Edge computing), Machine Learning for Security and Privacy , Security and Privacy in IoT and Cyber-Physical Systems , and AI for Social Good (addressing online abuse, unsafe children's games, and cyberbullying). His interdisciplinary approach has enabled him to tackle complex security challenges through innovative solutions that combine networking expertise with machine learning techniques. His recent publications demonstrate a strong trend toward applying large language models and advanced machine learning techniques to security challenges, particularly in content moderation, vulnerability detection, and privacy protection. The research spans multiple domains including voice assistant security, IoT security, network security, and social media safety, showing a consistent pattern of addressing real-world security problems with cutting-edge technical approaches. IEEE Big Data Security Senior Research Award (2025) ACM SACMAT Test-of-Time Award (2024) NSF CAREER Award (2019) Multiple Best Paper Awards from ACM ASIACCS (2022), ACSAC (2020), IEEE ICC (2020), and ACM SIGCSE (2018) Amazon Faculty Research Award (2022) First Place Award in ACM SIGCOMM 2018 Student Research Competition Dr. Hu has successfully advised multiple PhD students, including Nishant Vishwamitra who joined UT San Antonio as a tenure-track Assistant Professor. His research has been generously funded by major agencies and industry partners. As an active member of the academic community, he serves as Associate Editor for IEEE Transactions on Dependable and Secure Computing and Computers & Security, and has held numerous leadership roles in major security conferences including TPC Co-Chair for ASONAM 2025 and IWSPA 2024/2025. Dr. Hu leads a vibrant research group that has produced significant contributions in network security function virtualization, intrusion detection systems, and privacy-preserving technologies. Current projects include developing LLM-assisted vulnerability detection systems, defenses against jailbreak attacks on large language models, and security mechanisms for emerging networking technologies. His team's work on IoT security, voice assistant applications, and online content moderation has received wide recognition and press coverage.

• Professional Development
• Digital Media in Education
• Implementation Research
• +3 more

Prof. Dr. Annika Goeze holds the Chair of Educational Science with a focus on professional and company-based continuing education at the Eberhard Karls University of Tübingen since April 2021. She was previously a professor at TU Chemnitz (2019-2021) and has held visiting positions at Ruhr University Bochum and Karl-Franzens University of Graz. Her work centers on professional development , digital media in education , and implementation research in adult education. Her research includes: Video case-based teaching for competence development Digital sovereignty in language education Personnel diagnostics in continuing education Teacher training program evaluation Implementation research in educational systems Recent article trends emphasize digital media integration in teacher training, leadership development, and evidence-based professional development. She leads the DFG-funded DigiNICs project and has secured grants from BMBF and the State of Baden-Württemberg. Scientific awards include the Leibniz Mentoring Program scholarship and DFG Young Researchers’ Academy admission. Grants & Projects : "Digitally Supported Networked Improvement Communities" (BMBF, 2023-2025) "Quality Offensive for Teacher Training" (BMBF, 2021-2023) Leadership training evaluation (Baden-Württemberg, 2023) Ongoing DFG/DIE research on personnel diagnostic competencies (since 2013) Labs & Teams : She co-leads the Institute of Educational Science at Tübingen and coordinates research groups within the Tübingen School of Education . Her collaborative work includes the development of the Online Case Laboratory (www.videofallarbeit.de).

Mikko AaltonenView profile

Researcher

• Sociology
• Criminology
• Demographics
• +3 more

Mikko Aaltonen is a researcher at the University of Helsinki's Faculty of Social Sciences, serving as a Supervisor in the Doctoral Program in Social Sciences and as a visiting researcher. He maintains an active research profile with 131 research outputs documented across his career, spanning from 2007 to 2025. His research interests focus primarily on sociology, criminology, and demographics, with particular emphasis on criminal careers, recidivism patterns, employment trajectories of formerly incarcerated individuals, and victim-offender relationships. His work often utilizes register-based data and comparative approaches, particularly within Nordic contexts. His recent research output shows consistent productivity with publications in leading criminology journals including Criminology, British Journal of Criminology, and Crime & Delinquency. His 2025 publication in the Journal of Quantitative Criminology on industry-specific labor demand and recidivism represents his ongoing contribution to understanding the relationship between employment and reoffending. Aaltonen has led multiple significant research projects including CRIMCAR (Sociodemographic determinants of criminal careers in Finland 1987-2015), research on traffic fines and recidivism, and studies on event sequences in intimate partner violence against women. His work demonstrates a strong focus on empirical, data-driven criminological research with policy implications. His academic service includes extensive peer review activities for journals such as Acta Sociologica, Journal of Youth Studies, and Edilex, along with consulting work for the Ministry of Employment and the Economy on immigrant crime, particularly focusing on sexual offenses.

Maria Theresa VollmerView profile

Professor

• Educational Concepts
• Network Research
• Relational Perspectives
• +3 more

Dr. Maria Theresa Vollmer is a Professor and Chair of General Educational Science at the University of Bayreuth's Faculty of Cultural Studies. She has held this position since 2023, having previously served as a Research Associate/Postdoctoral Researcher at the same institution from 2016-2023. Her academic career includes doctoral research on educational concepts in India and extensive work on network theory in educational contexts. Dr. Vollmer earned her Doctorate in Educational Science from the University of Bayreuth in 2022 with a dissertation titled "Educational Concepts on the Move: The Example of PISA in India. A Network Theoretical Perspective." She completed her Master of Arts in Educational Science with a focus on "Education, Culture, Forms of Knowledge" at the Free University of Berlin (2010-2015), and her Bachelor of Arts in Education at the University of Karlsruhe (TH) (2005-2009). Dr. Vollmer's research focuses on current educational concepts and their emergence and transmission, network research and relational perspectives, heterogeneity in educational contexts, and India from an educational perspective. Her work employs network theoretical approaches to examine the circulation of educational knowledge globally, with particular attention to postcolonial perspectives and power dynamics in educational policy transfer. Analysis of Dr. Vollmer's recent publications reveals a strong focus on the movement of educational concepts across borders, particularly examining India's engagement with international assessment frameworks like PISA. Her work bridges network theory, postcolonial perspectives, and educational policy analysis, with increasing attention to relational approaches in educational ethnography and knowledge production across diverse contexts. Active member of the German Society for Educational Science (DGfE), including sections for General Educational Science and Intercultural and International Comparative Educational Science Review work for the journal Curriculum Perspectives (Springer) Member of the German Society for Network Research (DGNet) and the Networks and Culture Working Group since January 2023 Member of the DAAD IndiAlumni Network Dr. Vollmer has collaborated on multiple research projects including "Quality Offensive Teacher Training: Professional & Cultural Diversity in School & University" (2016-2020) and participated in the interdisciplinary working group "Learning for the Future – Transdisciplinary Perspectives on Knowledge Transmission in Africa and beyond." She has received funding for research trips to India through the University of Bayreuth's Gender Equality Award in 2015, 2017, and 2018.

• Software Engineering
• Probabilistic Programming
• Security and Penetration Testing
• +5 more

Jürgen Cito is an Associate Professor in the Department of Software Engineering at the Faculty of Informatics, TU Wien, where he leads research in probabilistic programming, security, and configuration management. His work is supported by major grants from the Austrian Science Fund (FWF), European Commission, and Meta Platforms, Inc., with active projects spanning 2022-2027. His research focuses on the intersection of software engineering and machine learning, particularly in static analysis of probabilistic programs, AI-driven penetration testing, and infrastructure security. Key contributions include identifying secret exposure in configuration files, grammar inference for ad hoc parsers, and performance prediction from source code, often combining empirical studies with tool development. Analysis of his 15 most recent publications (2020-2024) reveals three dominant trends: (1) Security vulnerabilities in configuration management systems, especially secret leakage in dotfiles; (2) Application of large language models to offensive security testing; and (3) Machine learning techniques for performance prediction and AutoML optimization in software contexts. Cito has supervised 22 Master's students on cutting-edge topics including AI security, infrastructure as code, and program analysis. His current research portfolio includes: Types4Strings (FWF, 2024-2027): Type systems for string processing Cloud Open Source Research Mobility Network (EU, 2023-2026): Open-source cloud infrastructure Software Assistants for Probabilistic Programming (Meta, 2022-2026): AI tools for probabilistic code He is embedded in TU Wien's Institute of Software Technology and Interactive Systems (E194), collaborating on cross-institutional projects focused on software security and developer tooling, with particular emphasis on empirical validation of security practices and configuration management systems.

Michael BaumView profile

Researcher

• Chemistry Education
• Biology Education
• STEM Education
• +7 more

Dr. Michael Baum is an academic researcher and educational engineer at the Leibniz Institute for Science and Mathematics Education (IPN) in Kiel, Germany. He is affiliated with the Department of Chemistry Didactics and contributes to research in science education, particularly in digital tools, critical thinking, and Education for Sustainable Development. His work integrates interdisciplinary approaches across biology and chemistry education, focusing on innovative teaching methods and teacher training. Leibniz Institute for Science and Mathematics Education (IPN), Kiel – Current Affiliation Department of Chemistry Didactics – Primary Academic Unit State Program 'Future School in the Digital Age SH' – Ongoing Project Michael Baum's research focuses on transforming STEM education through digitalization and fostering critical thinking in students. His work emphasizes the integration of sustainable development goals into science curricula and enhancing teacher competence through innovative pedagogical strategies. He investigates how digital tools can be effectively used in classrooms to improve science learning outcomes. His recent publications highlight a strong trend toward reimagining STEM education in the digital age, focusing on teacher education, classroom tools, and future learning paradigms. These works reflect a cohesive research agenda centered on modernizing science instruction and equipping educators with digital and critical thinking competencies. Dr. Baum has not received any publicly listed scientific awards or honors in the provided text. He has been actively involved in major research and educational initiatives, including the 'Quality Offensive Teacher Training' program and the Kiel Research Workshop on Bioeconomy. His editorial leadership in recent anthologies demonstrates academic mentorship and project coordination, though no formal advisees are listed. He has contributed to national and international educational assessments such as PISA, indicating policy-level engagement. Dr. Baum is part of the research team at the IPN, particularly within the Chemistry Didactics department, contributing to the institute's broader mission in subject-specific learning and teacher professional development. His work intersects with teams focused on digital methods, educational psychology, and science communication.

• Natural Language Processing
• Educational Technology
• Text Mining
• +4 more

Dr. Thushari Atapattu is a Grant-Funded Researcher (A) and Post-doctoral Research Fellow in the School of Computer and Mathematical Sciences at the University of Adelaide . She leads the Learning Technology for Social Good (LT4SG) research group and contributes to the Computer Science Education Research Group . Her research focuses on text mining , natural language processing (NLP) , and discourse analysis , with applications in educational technology and social good initiatives. Her work addresses challenges such as combating cyberbullying via linguistic fingerprints, modeling mental health through social media data, and analyzing discourse patterns in Massive Open Online Courses (MOOCs). Key projects include: Developing computational models to improve communication processes in education and healthcare. Exploring teachers' academic discourse impact on MOOC video engagement. Creating emotion-annotated mental health corpora and frameworks for detecting learner confusion in online platforms. Dr. Atapattu is eligible to supervise Masters and PhD candidates, focusing on interdisciplinary topics at the intersection of NLP, education, and social impact. Her research group, LT4SG, emphasizes leveraging technology for community-driven solutions.

• Administrative Law
• Digital Privacy
• Cybersecurity
• +8 more

Dolors Canals Ametller is a Full Professor at the Universitat de Girona in the Department of Public Law, specializing in Administrative Law. She leads the Research Group in Administrative Law (Grup de Recerca en Seminari de Dret Administratiu) and contributes to the Pere Bahí Housing Chair. Her work bridges legal frameworks with emerging technologies, focusing on digital transformation in public administration. Current research projects: Digital Privacy Evaluation (CoDiRa) , Climate Change Risk Regulation , and EU Normative Processes . Advisory roles: Expert for Catalonia's Generalitat transformation strategy (2024-2025), OECD regulatory quality assessments (2010-2011), and Spanish government accountability frameworks (2021-2022). Her academic output reveals trends in cybersecurity , digital privacy , and AI governance for public services, alongside gender impact assessments and administrative simplification strategies. Recent publications analyze hybrid security threats in digital public services and collaborative economy implications for local governments. Notable contributions include co-editing La digitalización en los servicios públicos (2023) and directing Ciberseguridad. Un nuevo reto (2021), with methodological expertise in regulatory impact assessments and EU policy alignment.

• Child and Youth Mental Health
• Developmental Psychopathology
• Climate Change and Mental Health
• +3 more

Jala Rizeq is a Senior Lecturer in Clinical Psychology at the University of Glasgow, affiliated with the Mental Health and Wellbeing group. She holds a BA (Honours) in Psychology from York University, followed by an MA and PhD in Clinical Developmental Psychology. Her clinical training includes roles at the Centre for Addiction and Mental Health (Toronto) and a postdoctoral fellowship at the Hospital for Sick Children. Her research focuses on child and youth mental health, examining impacts of adverse life events, climate change, and global stressors. She explores developmental pathways to psychopathology and disparities in mental health outcomes. Key themes include trauma sequelae, affective forecasting, and the intersection of environmental challenges with psychological well-being. Recent work includes studies on socioeconomic disparities in environmental behaviors, pandemic mental health trajectories, and the stress sensitization hypothesis in deprived populations. Her methodologies span longitudinal analysis, network theory, and clinical measurement validation. Education: BA Psychology (York University), MA & PhD Clinical Developmental Psychology (York University) Clinical Experience: Centre for Addiction and Mental Health (Toronto), Hospital for Sick Children Key Research Themes: Trauma, Climate Change Psychology, Developmental Psychopathology

JAIME SANMARTIN ARCEView profile

Professor

• Road Safety
• Behavioural Psychology
• Traffic Accident Analysis
• +4 more

Jaime Sanmartín Arce is a Professor at the Universitat de València within the Faculty of Psychology and Speech Therapy , specializing in the Department of Behavioural Science Methodology . He leads the METRAS research group under the Univ. Research Institute of Transit and Road Safety (INTRAS) . Research Focus: Road safety, driver behavior, traffic accident analysis, and data methodology. Key Contributions: Development of the METRAS method for accident data collection, cyclist safety studies, and behavioral assessments for fitness to drive. Publications: 15 most recent works (2013–2022) address topics like sustainable mobility, fatigue-related driving errors, and accident underreporting in Latin America. Collaborations: Involved in international networks such as COST TU1101 and projects like ACCCES/ACCCES2. Education: Holds a PhD (1983) in Psychology from Universitat de València.

• History of Education for People with Intellectual Disabilities
• Educational Theory and Intellectual Disability
• Disability Studies
• +5 more

Prof. Dr. Oliver Musenberg is Professor for Pedagogy for Intellectual Disabilities at the Institute of Rehabilitation Sciences, Faculty of Humanities, Social Sciences, and Education at Humboldt University of Berlin. He serves as Director of the Pedagogy for People with Intellectual Disabilities department and heads the Special Education Archives at the HU Professional School of Education. His professional affiliations include membership in the International Standing Conference for the History of Education (ISCHE), German Society for Educational Science (DGfE), German Interdisciplinary Society for the Promotion of Research on People with Intellectual Disabilities (DIfGB), and German Association for Rehabilitation (DVfR). Dr. Musenberg's research primarily focuses on the history of education for people with intellectual disabilities, educational theory in the context of intellectual disability, Disability Studies/Disability History, and inclusive subject teaching, particularly historical learning. His work examines the iconography of mental disability, historical learning in intellectual development contexts, and education for students with severe disabilities in inclusive settings. He leads the current DFG/AHRC-funded project "Images and Imagination of Impairment and Disability in the 'Hans Würtz Collection'" (2022-2025), which analyzes historical representations of disability. His extensive publication record spans monographs, edited volumes, handbook contributions, and numerous journal articles addressing inclusive historical education, special education theory, and disability representation. His recent work shows a strong emphasis on visual culture and historical collections related to disability, particularly the Hans Würtz Collection. His research demonstrates interdisciplinary connections between educational theory, cultural studies, and disability history, with increasing attention to museum studies and exhibition design in recent years. Head of the Special Education Archives at the HU Professional School of Education Center for Inclusion Research (ZfiB) at Humboldt University Member of the Examination Board of the Institute of Rehabilitation Sciences Member of the Faculty Council of the Faculty of Cultural, Social and Educational Sciences Dr. Musenberg has secured significant research funding including from the German Research Foundation (DFG) and Arts and Humanities Research Council (AHRC). His projects include the Quality Offensive Funding Area (Quo F), Inclusive Teacher Education (iLeb 3.0 and 2.0), and Evaluation and Development of Quality in Day Care Centers (ELOQUENT), demonstrating his commitment to practical applications of inclusive education theory.