Find Academic Supervisors

• Blockchain Technology
• Smart Contracts
• Decentralized Finance (DeFi)
• +3 more

Emanuele Antonio Napoli is a PhD student in Computer and Systems Engineering (38th cycle, 2022–2025) at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. Concurrently, he serves as an external lecturer and teaching assistant in Computer Science and Aerospace Engineering courses, contributing to academic instruction and mentorship. Education : Master’s in Energy and Nuclear Engineering from the Polytechnic University of Turin, Italy. His research focuses on blockchain technology, smart contracts, and decentralized finance (DeFi), with a particular emphasis on integrating environmental sustainability metrics. His work explores automated smart contract generation using large language models (LLMs), vulnerability correction, and blockchain-based platforms for municipal and smart-city applications. Recent publications highlight trends in LLMs for blockchain development, DeFi visualization tools, and blockchain applications for CO2 unit conversion. Collaborations with researchers like Valentina Gatteschi and Claudio Schifanella underscore his interdisciplinary approach. Research Group : GRAINS (GRAphics and INtelligent Systems) at DAUIN.

• Sociolinguistics
• Computer-Assisted Language Learning (CALL)
• Second Language Acquisition
• +3 more

Megan Smith is a Graduate Teaching Associate at the School of International Letters and Cultures within Arizona State University. She is actively involved in teaching Spanish and conducting research in language education and accessibility. Education : B.A. in Spanish from Murray State University (2024), currently pursuing a PhD in Spanish Linguistics. Her research focuses on sociolinguistics , CALL , and second language acquisition , with a particular interest in Andalusian language patterns and intercultural communication. She advocates for enhanced language education in underserved regions and collaborates with programs like the Front Porch Experience and Upward Bound to improve media literacy and cross-cultural understanding. Teaching Experience : Instructs courses such as Intermediate Spanish (SPA 201) and Elementary Spanish I (SPA 101) at Arizona State University.

• Translation Studies
• Educational Technologies
• English Language Teaching
• +7 more

Hümeyra Genç is an Assistant Professor at Uskudar University's Department of English Translation and Interpretation. She holds a Ph.D. from Yeditepe University (2017) and has academic affiliations spanning Johns Hopkins University (M.A., 2004) and Uludağ University (B.A., 1998). Her research focuses on translation studies, educational technologies, and EFL teaching methodologies. Currently担任 department head and serves on multiple institutional committees including the Bologna Coordination and Digital Education Commission. Education: Ph.D. in English Language Education (Yeditepe University, 2017) M.A. in Telecommunication for Multimedia/Instructional Technology (Johns Hopkins University, 2004) B.A. in English Language Teaching (Uludağ University, 1998) Research emphasizes cognitive aspects of language learning, including listening style assessment, visual aids' impact, and cognitive load theory in EFL instruction. Active in curriculum evaluation and teacher education reform in Turkey's education system. Published 14 peer-reviewed articles and contributed to 5 books. Current projects include translation technology laboratory impact studies and cross-cultural communication models. Teaching responsibilities include courses like 'English for Academic Purposes', 'Translation of Medical Texts', and 'Effective Presentation Skills'. Has coordinated Erasmus programs and advises student translation clubs.

• Natural Language Processing
• Machine Translation
• Large Language Models
• +3 more

Ratish Surendran Puduppully is an Assistant Professor in the Department of Data Science at the IT University of Copenhagen. His research focuses on natural language processing (NLP), machine translation, and large language models with particular emphasis on multilingual systems and low-resource languages. He has published extensively since 2014, with over 20 peer-reviewed works in top conferences like ACL and NeurIPS. Key research themes include adapter efficiency analysis, Hindi instruction-tuned LLMs (Airavata), zero-shot MT evaluation for Indian languages, and bidirectional state space models (Hydra). His work bridges theoretical advancements in neural architectures with practical applications in multilingual contexts. Collaborations span international teams addressing challenges in computational linguistics and cross-lingual AI systems. Publications emphasize open access and have been cited over 6 times with significant reader engagement (12+).

Stacey WatsonView profile

Assistant Professor

• Usable Security
• Accessibility in Technology
• Cybersecurity Education
• +3 more

Dr. Stacey Watson is an Assistant Professor in the Department of Computer Science at the University of Waterloo, part of the School of Computer Science. Her research focuses on usable security and accessibility, particularly for visually impaired and deaf communities, while also advancing cybersecurity education in computer science curricula. She holds a Ph.D. from the University of North Carolina at Charlotte (2018), an M.Sc. from Columbus State University (2013), a B.Ed. from Brock University (1999), and a B.A. from York University (1989). Her work bridges technical security solutions with human-centered design, addressing challenges such as accessible authentication methods for disabled users and improving student engagement through innovative teaching strategies. Recent research includes developing haptic authentication systems (e.g., VibroAuth) and single-input PIN solutions (OneButtonPIN) to enhance accessibility while preventing eavesdropping. She has also explored interdisciplinary cybersecurity education and the integration of embedded systems security into undergraduate courses. Watson’s publications span topics like end-of-use electronics management, non-malicious user vulnerabilities, and gamification in education. While no specific awards are listed, her contributions reflect a commitment to inclusive technology and pedagogical innovation. She is actively involved in curriculum development, emphasizing minimal-intervention strategies to enhance student preparedness and motivation.

• Computer Assisted Language Learning
• English for Specific Purposes
• Materials Development
• +2 more

Senem Yıldız is an Associate Professor at Boğaziçi University specializing in technology-enhanced language education. Her research explores computer-assisted language learning (CALL), mobile applications, and materials development for EFL contexts. Key research areas include web-based collaborative learning through wikis and blogs, corpus linguistics applications, and intercultural communication in digital environments. Recent publications analyze mobile language learning adoption and computer-mediated writing strategies. Supervision includes seven MA theses on topics ranging from corpus consultancy to collaborative wikis. Current EU projects focus on digital competence frameworks for educators.

Aylin Tekiner ToluView profile

Lecturer

• Instructional Technology
• Computer Assisted Language Learning (CALL)
• English Language Teaching (ELT) Methods
• +6 more

Aylin Tekiner Tolu is a Lecturer in the Department of Foreign Language Education – English Language Education at TED University. She holds a PhD in Second Language Acquisition and Instructional Technology from the University of South Florida, an M.S. in Cognitive Science, and a B.A. in Foreign Language Teaching from Middle East Technical University. Her roles include program chair, MA program coordinator, and teacher trainer across Turkey. She has extensive experience in online education, focusing on synchronous communication frameworks and digital storytelling with young learners. Educations: B.A., Foreign Language Teaching, Middle East Technical University M.S., Cognitive Science, Middle East Technical University Ph.D., Second Language Acquisition and Instructional Technology, University of South Florida Research Interests: Ms. Tolu’s work centers on instructional technology applications in ELT, CALL methodologies, and program evaluation. She actively explores university-school partnerships, particularly within the 'University within School' framework, to bridge teacher education and K-12 practice. Her recent focus includes digital storytelling projects for young learners and refining teaching practices in blended learning environments. Teaching & Mentoring: She instructs courses on language acquisition, methodology, and materials development at both undergraduate and graduate levels. She has mentored numerous MA thesis students and in-service teachers, emphasizing practical classroom applications of theoretical frameworks.

Mahmoud AmerView profile

Professor

• Game-based Learning
• Mobile-Assisted Language Learning
• Computer Assisted Language Learning
• +3 more

Mahmoud Amer is a Professor in the Department of Languages and Cultures at West Chester University (College of Arts and Humanities). With a Ph.D. from Indiana University of Pennsylvania and an MA from the University of Toledo, he specializes in Arabic language teaching and technology-enhanced language learning. Education: Ph.D., Indiana University of Pennsylvania M.A., University of Toledo (Ohio) B.A., Mutah University His research focuses on Game-based Learning , Mobile-Assisted Language Learning , and Computer Assisted Language Learning , particularly for Arabic. He explores how gamification and digital tools improve Second Language Acquisition . Recent publications highlight his work on gamified vocabulary platforms (Vocabee), language learning software development, and placement test modernization. His projects integrate gaming mechanics with pedagogical theories for Language Technology applications. Scientific Recognition: Finalist, Henderson Plenary Award (2023) Maintains active involvement in teacher training and advising through undergraduate courses (ARB101-ARB302, ARB420, EAR309) and graduate courses (LAN555, LAN583). His software developments include Prezant (attendance tracking), Vocabee (game-based learning), Kalimat (Arabic learning suite), uAdvise (academic advising), and Wx (exam conversion tool).

Souvika SarkarView profile

Assistant Professor

• Natural Language Processing (NLP)
• Information Retrieval (IR)
• Artificial Intelligence (AI)
• +3 more

Souvika Sarkar is an Assistant Professor at the School of Computing within the College of Engineering at Wichita State University. Her research focuses on enhancing AI and data science accessibility through interdisciplinary work at the intersection of Natural Language Processing (NLP), Information Retrieval (IR), and AI. She aims to develop context-aware and scalable AI systems capable of semantic understanding of natural language, particularly for broader societal benefit. Dr. Sarkar holds a Ph.D. from Auburn University, where she was honored with prestigious awards including the 100+ Women Strong Outstanding Departmental Annual Graduate Award and Auburn University’s Outstanding Doctoral Student Award. She also earned a master’s in software engineering from Jadavpur University. Prior to academia, she worked as an IT Analyst at Tata Consultancy Services, managing Microsoft SharePoint migrations and enterprise process workflows. Her research interests span NLP applications in education, multilingual AI systems, and ethical AI practices. Notable projects include developing conversational frameworks for K-12 physics education and analyzing annotator bias in hate speech detection systems. She has also explored deploying NLP models on embedded devices to address computational constraints. Publications highlight her work on digital twin security, LLM-driven meta-review systems, and Bangla language processing. Her industry experience bridges academic research with real-world enterprise solutions, reflecting a commitment to practical AI applications.

Thomas WagnerView profile

Professor

• Second Language Acquisition
• Foreign Language Aptitude
• Grammar and Vocabulary Acquisition
• +2 more

Thomas Wagner is a Professor for Applied Linguistics at the University College of Education Upper Austria (PHOÖ), with over two decades of experience in second language acquisition, foreign language aptitude, and variation theory applications. His work bridges empirical psycholinguistic research with practical language teaching methodologies, emphasizing data-driven approaches and mixed-methods designs. Key affiliations: PHOÖ (since 2014), Johannes Kepler University Linz (2004-2006), Siegen University (2003-2004), Dublin City University (2000-2003). Research focuses on irregular verb morphology in interlanguage, language testing frameworks (notably LLAMA), and gifted education integration in language didactics. Teaching spans phonetics, advanced grammar, pragmatics, and CLIL methodologies at both secondary and tertiary levels. His recent publications examine negative inversion acquisition, variation theory implementations, and digital technology integration in EFL, with fieldwork emphasizing Austrian EFL contexts and teacher education. Current projects include BRIDGE-APP (individual differences in primary EFL) and DIGITTIME (digital innovations in language instruction).

• E-learning
• Educational Technology
• Pedagogy
• +7 more

Karim Hajhashemi is an academic researcher affiliated with James Cook University , focusing on technology-enhanced education, multiple intelligences, and language learning strategies. His work bridges educational technology and pedagogical innovation , particularly in rural and higher education contexts. His research explores the impact of online videos and blended learning on student engagement, motivation, and cognitive outcomes. Collaborative studies with scholars like Nerina Caltabiano and Neil Anderson highlight challenges in flipped classroom implementation and the role of digital self-efficacy in language acquisition. Key article trends include: 2023–2019: Mental health assessment and educational theory comparison 2018–2016: Video-based learning, multiple intelligences, and digital engagement in rural settings 2017–2012: Language strategies, network affordances, and collaborative writing frameworks

• Artificial Intelligence
• Robotics
• Reinforcement Learning
• +3 more

Minttu Alakuijala is a Researcher in the Department of Computer Science at Aalto University, part of the School of Science. Her research focuses on artificial intelligence, robotics, and machine learning, with a particular emphasis on reinforcement learning, vision-language models, and autonomous systems. She has contributed to projects involving large language models, Monte Carlo tree search, and robotic manipulation. Alakuijala received the Aalto SCI award: Teaching Assistants of the Year 2023, recognizing her contributions to education. Her work spans theoretical advancements and practical applications in AI, including benchmark development for visual planning and transferable reward functions for robotics. Her recent publications explore topics such as code generation with large language models, multi-task learning for AI agents, and autonomous robotic systems. She collaborates internationally on projects at the intersection of computer vision, natural language processing, and reinforcement learning.

Benjamin GreweView profile

Associate Professor

• Artificial Intelligence
• Neural Networks
• Neuroscience
• +3 more

Prof. Dr. Benjamin Grewe is an Associate Professor at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on the intersection of artificial intelligence, neuroscience, and neural networks, with a particular emphasis on cortical hierarchies, continual learning, and biologically plausible algorithms. He leads projects involving deep feedback control, synaptic connectivity analysis, and neural ensemble dynamics. Grewe teaches courses such as Learning in Deep Artificial and Biological Neuronal Networks and Reinforcement Learning Basics , integrating theoretical and applied perspectives. His work bridges computational models with biological insights, contributing to advancements in medical robotics, process control, and AI safety. His research interests span neural network architectures , continual learning , and biological neuronal systems . Recent projects explore synaptic plasticity in cortical microcircuits and the application of AI to surgical planning and industrial automation. Grewe’s publications reflect a multidisciplinary approach, addressing challenges in both technical and biological domains. No scientific awards are explicitly mentioned in the provided texts. His advising and grant activities remain unspecified in the available data. His lab, part of the Neural and Intelligent Systems group, focuses on developing biologically inspired algorithms and neural interfaces.

Sylvain BoulméView profile

Associate Professor

• Formal Verification
• Formal Methods
• Programming Language Semantics
• +7 more

Sylvain Boulmé is an Associate Professor (Maître de Conférences) at Grenoble Institute of Technology (Grenoble-INP), France, and a member of the Verimag research laboratory at Université Grenoble Alpes. His research lies at the intersection of formal verification, programming language semantics, and verified compilation, with a strong emphasis on machine-checked proofs using the Coq proof assistant. Research Interests: Formal verification of software and hardware systems Semantics of programming languages Verified compilation (e.g., CompCert and Chamois CompCert) Abstract interpretation and refinement calculi Type theory and dependent types Certification of SAT solvers and verification tools His recent work includes formally verified defensive programming techniques, certified compilation optimizations, and Coq-verified SAT solver certification tools like SatAns-Cert. He actively contributes to open-source projects and collaborates with researchers such as David Monniaux and Thomas Vandendorpe. Teaching & Outreach: He teaches courses at Ensimag (École nationale supérieure d'informatique et de mathématiques appliquées de Grenoble) covering topics like programming languages, compilation, code analysis for safety and security, and formal verification. He also engages in public communication, such as his 2024 Interstices article on building reliable software. Contact & Affiliation: Verimag Laboratory, Université Grenoble Alpes 150 place du torrent, 38401 St Martin d'Hères, France Email: Sylvain.Boulme@univ-grenoble-alpes.fr

Aparajita Dey-PlissonneauView profile

Assistant Professor

• Computer-Assisted Language Learning (CALL)
• Second Language Acquisition
• Virtual Exchange
• +4 more

Dr. Aparajita Dey-Plissonneau is an Assistant Professor in French and Applied Linguistics at Dublin City University (DCU), serving as Chairperson of the BA in Applied Language and Translation Studies program in the School of Applied Language & Intercultural Studies (SALIS). Her research focuses on computer-assisted language learning (CALL), virtual exchange, telecollaboration, and integrating intercultural understanding, digital literacies, and social justice into language education. She developed the L2L pedagogical tool with the Insight Centre for Data Analytics to enhance student reflection on language skills via videoconference metrics. Her work also involves collaboration with European institutions and TU Dublin to address challenges in telecollaborative learning ecosystems. With over 14 years of teaching experience in France and Ireland, she mentors educators transitioning to online language instruction and has coordinated a multilateral ERASMUS+ project involving seven countries. Her expertise includes second language acquisition through videoconferencing and fostering global citizenship through digital pedagogies. Awards: IRC National Scholarship for doctoral research. Projects: ERASMUS+ coordination, Insight Centre collaboration, telecollaborative pedagogical initiatives. Dr. Dey-Plissonneau’s research bridges technology, language education, and intercultural competence, emphasizing socially responsible global learning frameworks.