Find Academic Supervisors

Daniel GarijoView profile

Associate Professor

• e-Science
• Semantic Web
• Research Software
• +3 more

Daniel Garijo is an Associate Professor at the Artificial Intelligence Department of the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM). He is a researcher at the Ontology Engineering Group and collaborates with the Information Sciences Institute at the University of Southern California. His research focuses on e-Science and the Semantic Web, emphasizing the understandability of research software and computational workflows through provenance tracking and Linked Data exposure . Key areas include FAIR principles, ontology engineering, and automated metadata extraction. Recent publications analyze FAIR software assessment metrics LLM applications for ontology engineering semantic artefact lifecycle optimization carbon emissions transparency RDF-star data integration His work bridges open science with practical standardization efforts in research software. He contributes to the Ontology Engineering Group at UPM, develops open-source tools (RO-Crate, SoMEF), and maintains semantic repositories via Github and ORCID .

• Neuromorphic Engineering
• Spiking Neural Networks
• CMOS Circuit Design
• +3 more

Hugh Greatorex serves as a Researcher at the University of Groningen within the Faculty of Science and Engineering, affiliated with the Bio-inspired Circuits & Systems research group. His work centers on neuromorphic hardware design, specializing in spiking neural networks and event-based processing systems that prioritize energy efficiency and real-world applicability in robotics and embedded AI. His research spans critical areas in neuromorphic engineering: Neuromorphic Engineering Spiking Neural Networks CMOS Circuit Design Memristive Computing Event-based Vision and Audio Processing Symbolic Computation in Neural Hardware Greatorex integrates circuit design with neural algorithms to solve power efficiency challenges, frequently exploring beyond-CMOS technologies like memristors and multi-timescale neural dynamics for practical implementations. Analysis of his 14 recent publications (2022-2025) reveals a cohesive trajectory toward hybrid neuromorphic processors combining CMOS with emerging devices. Key contributions include the TEXEL and Fused-MemBrain architectures for beyond-CMOS integration, alongside advancements in event-based sensory processing and symbolic operations within spiking hardware. This work consistently bridges neural computation with symbolic AI paradigms while emphasizing scalability and robustness. No scientific awards were documented in available sources. Information regarding student advisement and research grants was not provided in the source materials. As a core member of Groningen's Bio-inspired Circuits & Systems group, Greatorex contributes to internationally collaborative projects focused on biologically inspired electronic systems for intelligent processing, with applications spanning edge AI and neural computation modeling.

Doug RiceView profile

Associate Professor

• American Politics
• Public Law
• Judicial Policymaking
• +5 more

Doug Rice is an Associate Professor of Political Science and Legal Studies at the University of Massachusetts Amherst. His work focuses on judicial policymaking, particularly the role of courts in democratic systems and the implications of judicial power. He holds a Ph.D. in Political Science from Pennsylvania State University (2013), an M.A. from the same institution (2010), and an M.A. from Villanova University (2008). His research integrates methods like text-as-data analysis to explore judicial decision-making, media coverage of legal institutions, and the intersection of law and social movements. Rice's research interests include public law, American political behavior, and institutional governance. He examines how judicial rulings influence public policy agendas, media narratives, and societal legal consciousness, with a focus on issues like LGBTQ+ rights and racial equity. His methodological contributions include innovations in coding policy texts and analyzing legal language patterns. His recent publications analyze judicial impact on policy salience, the evolution of legal advocacy in social movements, and gender effects in Supreme Court oral arguments. Rice advises graduate students on topics such as judicial behavior, legal text analysis, and media-politics interactions. He maintains an active research agenda exploring the intersection of law, media, and public opinion through computational and qualitative methods.

Alvaro MiyazawaView profile

Lecturer

• Robotics (modelling and simulation)
• Formal Semantics
• Domain Specific Languages (DSL)
• +6 more

Dr. Alvaro Miyazawa is a Lecturer in the Department of Computer Science at the University of York. He holds a PhD in Computer Science from the University of York (2012) and an MSc from the University of São Paulo, Brazil (2008). His research focuses on formal methods for robotics, including robotics modelling, verification, and tool development. He has held roles such as Deputy Chair of BOE (Paper Checking for On-Campus) and has contributed to projects like RoboTest, RoboCalc, and hiJaC. His work emphasizes diagrammatic notations (e.g., RoboChart), hybrid languages, and formal verification techniques for robotic systems. Miyazawa has developed tools like RoboTool and RoboSim, integrating formal methods with practical robotic applications. He has extensive experience in safety-critical systems, including work on Safety-Critical Java (SCJ-Circus) and probabilistic modelling with PRISM. Research interests span robotics semantics, domain-specific languages, state-based notations (Z, B, VDM), and process algebras. His publications address model-based engineering, architectural design, and verification frameworks for robotics. Miyazawa’s career includes roles as a Research Associate across multiple projects, culminating in his current academic position.

• Russian Linguoculture
• Bilingualism
• Language Education
• +3 more

Liudmila Nikolaeva is a Junior Lecturer in Russian as a Foreign Language and Junior Research Fellow in Russian Language and Literature at the University of Tartu, holding dual appointments in the Faculty of Social Sciences (Narva College) and the Faculty of Arts and Humanities (Institute of Foreign Languages and Cultures). She serves part-time (50%) in both roles since September 2023, with prior full-time positions from 2021-2023. Her PhD research focuses on language code-switching mechanisms in Russian-speaking children receiving Estonian-language education under supervision by Elizaveta Sosnovtseva and Olga Burdakova. Education: She earned a Master's in Education (2015) and is pursuing a PhD in Russian Language and Literature at Narva College, University of Tartu. Her master's thesis explored foreign language users' ability to decode Russian cultural gestures through experimental research. Research interests include Russian linguoculture analysis, bilingualism (Russian-Estonian), corpus linguistics (RusLAPSED child speech corpus), and educational linguistics. Recent work focuses on bilingual speech patterns in children and corpus representation challenges. Publications emphasize bilingualism studies and corpus development in Russian-Estonian contexts. She has contributed to international conferences like Uralo-Indogermanica and Baltic language corpus symposiums. No scientific awards are listed but maintains active research collaborations in sociolinguistics and education. Advisory work includes her own doctoral supervision. Research activities involve the RusLAPSED corpus project analyzing child language development in multilingual environments.

Mika SaariView profile

Lecturer

• Internet of Things (IoT)
• Software Engineering
• Artificial Intelligence
• +4 more

Mika Saari is a Lecturer at the Computing Sciences Department within the Faculty of Information Technology and Communication Sciences at Tampere University. His research focuses on Internet of Things (IoT), software engineering, artificial intelligence (AI), and their applications in education and prototyping. He has supervised numerous master’s theses and contributed to over 47 research outputs, including peer-reviewed articles, conference contributions, and books. His work emphasizes IoT sensor networks, AI tool utilization in programming education, and collaborative prototyping processes between academia and industry. Education: Doctoral thesis (2024) titled ' Software Hardware Combination for IoT Sensor Data Gathering and Prototyping: Architecture model, Framework, and Process model '. Awards: Holder of 2 prizes (specific details not explicitly mentioned). Research interests include IoT system design, AI-driven software development, and the integration of generative AI tools in education. His recent articles explore topics like autonomous software development via multi-agent systems, digital twin applications, and the effective use of ChatGPT for documentation. Saari also investigates energy-saving IoT solutions and the challenges of visualizing building data. Publications span journals, conferences, and book chapters, with a focus on practical applications in smart systems, robotics, and educational technology. He collaborates actively with industry partners and has contributed to frameworks for IoT data gathering and prototyping processes.

Elena Diez del Corral AretaView profile

Lecturer

• Historical Linguistics
• Sociolinguistics
• Contact Linguistics
• +12 more

Elena Diez del Corral Areta is a Lecturer (MER 1) in the Spanish Section of the Faculty of Arts at the University of Lausanne (UNIL), where she has been employed since 2013. Her academic focus lies in the teaching of Hispanic Language and Linguistics, with a strong research emphasis on historical and sociolinguistic aspects of the Spanish language. She holds a degree in Philology from the University of Valencia (2008), a Master's in Teaching Spanish as a Foreign Language from Pablo de Olavide University (Seville, 2013), and a PhD from the University of Neuchâtel (2013), where her doctoral research examined linguistic variation in colonial documents from the Audiencia de Quito. Her primary research interests include Historical Linguistics , Sociolinguistics , and Contact Linguistics , particularly the evolution of Spanish in the Americas and the interaction between Spanish and French in Switzerland. She is an active member of the international CHARTA network and co-coordinates the GRAFILA research group, dedicated to the publication and linguistic analysis of Hispanic documents in Swiss heritage collections. Her recent publications, spanning from 2024 to 2018, demonstrate a consistent focus on colonial and 19th-century Spanish, discourse markers, morphosyntactic variation, bilingualism among Colombian immigrants in French-speaking Switzerland, and the editorial challenges of historical texts. The work reveals a strong commitment to interdisciplinary research, combining philology, archival science, and sociolinguistics to reconstruct the history of the Spanish language. Active researcher in the CHARTA network Co-coordinator of the GRAFILA research group She has not received any scientific awards mentioned in the provided text, and there is no information about students she may have advised. Her work is supported by her institutional affiliation and collaborative research networks, contributing significantly to the accessibility and scholarly understanding of Spanish-language documentary heritage in Switzerland.

• Medical Informatics
• Information Retrieval
• Health Search Systems
• +3 more

Bevan Koopman is an academic affiliated with Queensland University of Technology (QUT), holding a Lecturer position within the School of Computer Science's Department of Computer Science. He completed his PhD in 2014, focusing on semantic search applications in health informatics. His research emphasizes medical information retrieval, task-oriented search systems, and clinical query generation. Key contributions include developing the Relevation! open-source relevance assessment tool and advancing semantic inference models for healthcare applications. Koopman collaborates with the QUT ielab, contributing to projects like consumer health search systems and systematic review methodologies. His work bridges computer science and healthcare, addressing challenges in clinical data integration, medical terminology utilization, and evidence-based medicine systems. PhD in Semantic Search (2014, QUT) Co-developer of the Relevation! system Active contributor to TREC and CLEF health IR tracks Research interests span medical informatics, health search systems, and natural language processing in clinical contexts. His work has been published in venues like Journal of the Association for Information Science and Technology and ECIR conferences.

Aspa BaroutsisView profile

Researcher

• Education Policy
• Media Representation of Teachers
• Alternative Education Settings
• +3 more

Aspa Baroutsis is a researcher affiliated with the University of Queensland and Victoria University in Australia, focusing on education policy, media representation of teachers, and alternative schooling. Collaborating with scholars like Annette Woods, Martin Mills, and Lisa Kervin, her work bridges critical literacy, pedagogical innovation, and student engagement in diverse educational contexts. Her research explores media-driven accountability in education design-based experiments in teacher-researcher collaborations computational thinking in primary classrooms student voice in alternative schools Baroutsis’s work highlights the intersection of technology, literacy, and equitable pedagogy, often employing interdisciplinary methodologies and focusing on marginalized youth. Recent publications emphasize the role of data literacy, makerspaces, and narrative inquiry in reshaping educational practices. While no specific scientific awards are documented in the provided texts, her collaborations and editorial contributions underscore her impact on educational discourse.

• Digital Linguistics
• Writing Technology and Document Engineering
• Linguistic Analysis and Modeling of Writing Processes
• +4 more

Cerstin Mahlow is a Professor of Digital Linguistics and Writing Research at the ZHAW School of Applied Linguistics , where she leads initiatives like the CAS Texten: effektiv schreiben und Generative KI effizient nutzen . Her work bridges linguistic theory with computational methods, focusing on writing process analysis, NLP-based authoring tools, and socio-cultural impacts of digital transformation in education. PhD in Computational Linguistics (University of Zurich, 2011) M.A. in Computational Linguistics, Spanish Linguistics, and Political Science (Erlangen-Nürnberg, 2008) Continuing Education in E-Learning (ETH Zurich/University of Zurich, 2003) Her research explores linguistic modeling of writing processes using digital tools, with a focus on sentence-centric analysis and AI-driven writing support. She investigates how large language models (LLMs) and generative AI reshape academic writing practices, authoring workflows, and literacy requirements. Recent publications highlight trends in writing analytics , including sentence history modeling (2025), feedback revision strategies (2023), and cognitive writing aids (2022). She co-leads projects like Computational Competencies for Non-Tech Students and Potentials of Advanced Text Technologies , emphasizing machine learning applications. Prof. Mahlow serves on the steering committees of the ACM Symposium on Document Engineering and coordinates the SIG Writing special interest group under EARLI. She actively contributes to networks like Girls Can Code Switzerland and the Association for Computational Linguistics .

• Nursing
• Clinical Practice
• Health Sciences Education
• +3 more

Bartolomé Villalonga Mut serves as an Associate Professor in the Department of Nursing at the Faculty of Nursing and Physiotherapy, University of the Balearic Islands. His current teaching responsibilities for the 2025-26 academic year include Clinical Practice II (subject code 22720) and Clinical Practice III (subject code 22725) for the Nursing Degree program in Mallorca, reflecting his ongoing role in undergraduate clinical education since at least 2020-21 across both the current curriculum and the 2016 Plan. His professional focus centers on clinical nursing training methodologies, emphasizing hands-on healthcare skill development for students. This specialization in bridging theoretical knowledge with practical clinical settings is evident through his multi-year instruction of practice-oriented courses, suggesting expertise in supervised patient care scenarios and competency assessment within Balearic Islands healthcare facilities. Scientific Awards: No awards, fellowships, or medals were documented in the provided text. Advising and Grants: The materials contain no references to graduate students supervised or research funding secured by Dr. Villalonga Mut. Tutoring appears limited to appointment-based academic guidance for undergraduate clinical practice courses.

• Legal Theory
• Political Philosophy
• Legal Ethics
• +9 more

Daniel Krošlák is an Associate Professor at the Institute of Theory and History of State and Law and Social Science Disciplines within the Faculty of Law at Paneuropean University. He teaches Theory of Law, Political Philosophy, Legal Ethics, and Politics , integrating historical and philosophical perspectives into legal education. Research Focus : Krošlák’s work examines legal theory, constitutional frameworks, and the intersection of culture with legal systems. His publications analyze topics such as the German rule of law’s historical evolution, Nuremberg Trials jurisprudence, and digital privacy rights under EU law. Scientific Contributions : Received VEGA and KEGA certificates for project completions Authored 12 key publications between 2009-2021 Contributed to international legal encyclopaedias Teaching & International Engagement : Previously taught at Comenius University, Trnava University, and Cyril and Methodius University. Undertook guest researcher roles at the University of Southern California (2017), Omsk State University (2014-2015), and Universidad Nacional de Colombia (2013).

• Sign language linguistics
• Sign language
• Sign language interpretation
• +3 more

Lindsay Nicole Ferrara is a Professor at the Department of Language and Literature, Norwegian University of Science and Technology (NTNU). Her work focuses on sign language linguistics, with a particular emphasis on Norwegian Sign Language (NTS) and its ecological context within the Deaf community. Research Focus: Sign language documentation, multimodal communication, and language ecology Projects: Lead developer of the Norwegian Sign Language Corpus Her recent research explores backchannel phenomena in signed interactions, cross-linguistic comparisons with LSFB (French Belgian Sign Language), and sign-writing contact dynamics. She contributes to both academic conferences and community-oriented linguistic products. Key collaborations include work with Alysson Maurane Lepeut (NTNU), Benjamin Donald Anible (NTNU), and Lena Mei Anda (NTNU). While no formal awards are listed in the current data, her contributions to signed language ecology research demonstrate significant academic impact.

Jiasi ShenView profile

Assistant Professor

• Programming Languages
• Software Engineering
• Program Analysis
• +3 more

Jiasi Shen is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology. She leads the HKUST Automated Reasoning and Transformation of Software research group. PhD and Master's from Massachusetts Institute of Technology Bachelor's from Peking University Her research focuses on automating software development through program analysis , program transformation , and active learning . She explores how to systematically introduce safety checks, optimize performance, and enable cross-platform adaptation while maintaining core functionality. Recent work includes: Dynamic graph-based fingerprinting for cryptomining detection Benchmarking LLMs for operating system verification tasks Improving program comprehension via deimplicitization techniques She has received the Distinguished Artifact Award at SLE 2017 and serves on program committees for OOPSLA, Onward!, and SPLASH conferences. Her group supervises multiple PhD and MPhil students while developing systems like Konure (database application modeling) and KumQuat (parallel Unix command synthesis).

AHMET KESMEZView profile

Assistant Professor

• Linguistics
• Second Language Acquisition
• Language Revitalization
• +6 more

Dr. Ahmet Kesmez is an Assistant Professor at Bingöl University's Faculty of Arts and Sciences, Department of English Language and Literature. He holds a PhD in English Language Teaching from Atatürk University's Institute of Educational Sciences (2020), preceded by an MA in English Linguistics (Atatürk University, 2013) and a BA in English Language and Literature (Yüzüncü Yıl University, 2010). His academic career includes roles as a Research Assistant at Bingöl and Atatürk Universities (2010-2012), Lecturer at Bingöl University (2014-2023), and his current position since 2023. His research focuses on sociolinguistics, language revitalization, bilingualism, and applied linguistics, with emphasis on endangered languages like Zazaki. He investigates technology's role in language preservation, EFL pedagogy, and L1 interference in second language acquisition. Recently, he has explored AI-driven solutions for revitalizing endangered languages and EFL learners' perceptions of digital tools. He teaches courses such as Linguistics I, Semantics I, and Speech I. Despite no listed awards, his work bridges theoretical linguistics with practical educational challenges, particularly in multilingual contexts. No specific grants, labs, or teams are mentioned in the provided data.