Find Academic Supervisors

Xuehong HeView profile

Lecturer

• Second Language Acquisition
• Second Language Vocabulary Acquisition
• Second Language Psycholinguistics
• +3 more

Dr. Xuehong He is a Lecturer in Applied Linguistics at Swansea University's School of Culture and Communication. She holds a Ph.D. in Second Language Studies from Michigan State University. Her research focuses on Instructed Second Language Acquisition, Second Language Vocabulary Acquisition, and Second Language Psycholinguistics, employing cognitive and psycholinguistic methodologies such as eye-tracking. Education: Ph.D. in Second Language Studies (Michigan State University, USA), teaching experience in the U.S. and Japan. Research Interests: Cognitive approaches to vocabulary learning, technology-enhanced language instruction, and individual differences in language acquisition. Her work bridges theoretical frameworks with practical pedagogical applications. Supervision: Currently guiding two PhD students exploring AI feedback in EFL classrooms and corrective feedback efficacy in university learners. Labs/Teams: Active contributor to the School's Applied Linguistics research cluster, focusing on second language acquisition methodologies.

U-Xuan TANView profile

Professor

• Robotics & Automation
• Mechatronics
• Localization & Mapping
• +5 more

Professor U-Xuan TAN is affiliated with the Sensing, Actuation, and Mechanism (SAM) Design Group within the Engineering Product Development (EPD) school at Singapore University of Technology and Design (SUTD). His research focuses on Robotics & Automation, Mechatronics, Localization & Mapping, and Sensing & Control systems. His work spans applications in medical robotics, 3D food printing, industrial IoT, and human-robot interaction. He leads a dynamic research group, evidenced by frequent group photos (e.g., 2017/2019) and ongoing projects involving multi-robot systems. Notable contributions include advancements in UWB-based localization, neural network-driven vibration compensation, and autonomous medical service robots like ARIS 1.0. His team has developed systems for precision tasks such as kidney stone treatment and high-rise glass cleaning. Over 40 publications since 2018 demonstrate expertise in robotics algorithms, sensor fusion, and AI-driven solutions across healthcare, manufacturing, and environmental domains. Current openings include Post-Doctorate Fellowships and Research Assistant roles in robotics. PhD scholarships are available for candidates with project/publication portfolios.

Shulan LuView profile

Professor

• Embodied Cognition
• Augmented Reality
• Cognition and Instruction
• +7 more

Dr. Shulan Lu is a Professor in the Department of Psychology and Special Education at East Texas A&M University, where she has been a faculty member since 2004. She is affiliated with the College of Education and Human Services and contributes to programs in Psychology (BS/MS) and Cognitive Science. Her research bridges cognitive science, education, and technology, with collaborations extending to Computer Science and the Army Research Lab. Educational Background: Ph.D. in Cognitive Science, University of Memphis, 2004 M.A. in Linguistics and Applied Linguistics, Zhejiang University, China, 1999 B.A. in Mechanical Engineering, Nanjing Broadcasting University, China, 1993 Dr. Lu's research focuses on embodied cognition , augmented reality , and cognition and instruction . She investigates how physical and virtual embodiment influences perception, learning, and performance. Her work explores innovative educational technologies and cognitive load in learning environments, particularly through eye-tracking and virtual simulations. Her recent publications reflect a strong interdisciplinary trend, integrating cognitive science with human-computer interaction and educational psychology. Themes include temporal reasoning, player experience in digital environments, and the role of working memory in virtual presence. Scientific Awards: Class Award, East Texas A&M University, 2020 The Donna Dunbar Odom “Fearless Investigation” Award, 2011 Provost Award for Research and Creative Activity, 2011 Junior Faculty Research Award, 2008 NSF Travel Award, Women in Cognitive Science, 2006 Dr. Lu has been actively involved in research funding and collaborative projects, including work with the Army Research Lab on augmented reality systems. She has mentored students in psychology and cognitive science, though specific advisees are not listed. She teaches courses such as Cognitive Psychology (PSY 350), Special Topics in Morality (PSY 497), and Cognitive Science (PSY 511). She is affiliated with the Assistive Technology Lab and the Community Psychology Clinic , contributing to applied research and student training in inclusive and cognitive technologies.

Levent ErtunaView profile

Assistant Professor

• Educational Measurement and Evaluation
• Psychometrics
• Assessment Design
• +10 more

Levent Ertuna is an Assistant Professor in the Department of Educational Sciences at the Faculty of Education, Sakarya University, Turkey. He is actively engaged in teaching, research, and academic service, with a strong focus on educational measurement, evaluation, and psychometrics. His work involves developing and validating assessment tools, analyzing educational data, and evaluating curriculum effectiveness. His primary research interests include Educational Measurement and Evaluation , Psychometrics , Scale Development , Multivariate Statistics , Assessment Design , and Teacher Education . He frequently employs advanced statistical techniques and the R programming language in his research. His work also extends to the evaluation of higher education reforms like the Bologna Process and the study of flexible learning environments. The most recent articles by Dr. Ertuna reflect a consistent focus on methodological rigor in educational research. His work spans the development and validation of achievement tests and scales, the investigation of statistical properties in testing (such as testlet effects and differential item functioning), and the evaluation of educational programs and professional development. A significant portion of his research is applied to real-world educational contexts in Turkey, addressing issues in K-12 education, higher education, and teacher training. Reviewer for journals including Online Journal of Technology Addiction and Cyberbullying , Sakarya University Journal of Education , and Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi . Editor for Educational Measurement: Issues and Practice and SAGE Open . Editor for the book Participatory Educational Research . Dr. Ertuna has served as a researcher on successfully completed scientific research projects funded by higher education institutions, such as the 'Cultural Adaptation and Application Project of Fear of Recurrence Therapy (FRT)' and a study on 'Developing a Flexible Instructional Design Model for Transformed Learning Environments in Higher Education.' He has also been a member of the organizing committee for international academic events. He has taught undergraduate courses including Research Methods in Education, Measurement and Evaluation, and Teaching Practice.

Murat TopalView profile

Assistant Professor

• Educational Technologies
• Gamification in Education
• Artificial Intelligence in Education
• +11 more

Murat Topal is an Assistant Professor at the Department of Educational Sciences , Faculty of Education , Sakarya University , where he actively contributes to teaching, research, and academic service. He teaches undergraduate and graduate courses such as Educational Technologies, Media Literacy, Artificial Intelligence and Productivity, and Scientific Research Methods. His research interests include Educational Technologies , Gamification , Artificial Intelligence in Education , Distance Learning , Digital Game Addiction , and Self-Efficacy in Educational Internet Use . He has published in journals indexed in SSCI, Scopus, and TR-Dizin, with a strong emphasis on bibliometric studies, psychometric scale development, and technology integration in education. The recent articles reflect a strong trend in AI and emerging technologies in education , particularly through bibliometric analysis, alongside ongoing work on gamification , digital well-being , and student engagement in online learning . His work often combines quantitative research methods with educational innovation. Scientific Awards: No specific awards mentioned. Dr. Topal is actively involved in advising and research grants. He is a researcher in multiple national and international projects funded by TÜBİTAK and COST , focusing on gamification, AI in education, and digital mental health. He has authored a book and contributed to international publications. He also serves as an editor and reviewer for several academic journals, including Sakarya University Journal of Education . He is a key organizer in international academic events, particularly the International Congress of Teaching Turkish as a Foreign Language and International Congress of Bilingualism Studies , where he serves on organizing and scientific committees, indicating strong collaborative and leadership roles in the academic community.

Teresa ChenView profile

Professor

• Educational Technology
• Computer-Assisted Language Learning (CALL)
• Mobile Learning
• +7 more

Teresa Chen is a Professor in the Advanced Studies in Education and Counseling department at California State University, Long Beach, within the College of Education. She specializes in Educational Technology & Media Leadership and is actively engaged in research related to technology integration in language learning and digital education environments. Ph.D., University of Illinois at Urbana-Champaign, 2000 Her primary research interests include computer-assisted language learning (CALL), mobile learning, online learning communities, and the quality and ethical dimensions of online education. She explores how digital tools can enhance language acquisition, support EFL/ESL learners, and foster critical thinking in technology-mediated environments. The analysis of her recent publications reveals a consistent focus on educational technology applications in language instruction, with significant contributions to understanding online plagiarism, mobile learning development, and the design of effective digital learning experiences. Her work spans both practical software reviews and theoretical discussions on networked learning and simulation design. While no formal scientific awards are listed in the provided text, her scholarly contributions are evident through her publications in reputable journals and conference proceedings such as System , CALICO Journal , and AACE. Teresa Chen advises students and leads research initiatives in educational technology, particularly focused on supporting English language learners through innovative apps and digital tools. Though specific grant details are not mentioned, her current projects indicate active engagement in externally or institutionally supported research. She has contributed to curriculum and instructional media evaluation, suggesting involvement in academic leadership and resource development. She is involved in current research projects on Technology for English Language Learners and Apps for Critical Thinking, indicating an ongoing commitment to leveraging digital tools for inclusive and cognitively enriching educational experiences.

Michael FranzView profile

Professor

• Security
• Systems
• Software Engineering
• +3 more

Michael Franz is a Distinguished Professor (academic rank: Professor) in the Department of Computer Science at the Donald Bren School of Information and Computer Sciences, University of California, Irvine, with a courtesy appointment as Professor in Electrical Engineering and Computer Science at the Henry Samueli School of Engineering. He directs UCI's Secure Systems and Software Laboratory and is a Fellow of AAAS, ACM, IEEE, and IFIP. Franz earned his Dr. sc. techn. degree in Computer Science and Dipl. Informatik-Ing. ETH degree from ETH Zurich under advisor Niklaus Wirth. His research pioneers compiler and system-level techniques for software safety and performance, focusing on Security (multivariant execution, code randomization), Systems (JIT compilation, memory management), and Software Engineering (binary recompilation, attack surface reduction). Franz created foundational trace compilation technology adopted in Firefox's JavaScript engine and continues developing practical defenses against real-world exploits. Recent publications reveal escalating integration of machine learning in binary analysis (e.g., StackBERT) and hardware-assisted security (PKRU-Safe), with consistent output in top venues like USENIX Security and EuroSys. His work transitions from theoretical frameworks to deployed solutions, evidenced by patents and industry adoption. Scientific awards include: Fellow of AAAS (2019) Fellow of ACM Fellow of IEEE Inaugural Fellow of IFIP (2019) ACM Charles P. "Chuck" Thacker Breakthrough in Computing Award (2021) Humboldt Research Award (2018) UCI Innovator of the Year Award (2018) Best Paper Award at ACSAC 2024 SIGSOFT Distinguished Paper Award at ESEC/FSE 2023 Best Paper Award at EuroSys 2022 Test of Time Award at Dynamic Languages Symposium (2019) Franz has graduated 40 Ph.D. students as primary advisor and secured over $24 million in federal grants ($16M+ as sole PI), plus $1 million in industry gifts. His advisees hold key roles at Apple, Google, Meta, and Yonsei University, with Dokyung Song becoming an Assistant Professor there. The Secure Systems and Software Laboratory develops survivable execution environments (A8 MVX) and binary transformation tools (BinRec), bridging academic research with real-world impact like Firefox's TraceMonkey engine and compartmental memory management. Current projects focus on distributed multivariant execution and hybrid binary recompilation.

• Natural Language Processing
• Intelligent Tutoring Systems
• Adaptive Learning
• +7 more

Tanja Heck is a Research Associate and Doctoral Candidate at the Leibniz Institute for Science and Mathematics Education (IWM) in Tübingen, Germany, where she is a member of the Language and AI in Education lab. Her work is centered on intelligent tutoring systems, particularly the development of FeedBook and research within the AI2Teach project, focusing on adaptive, NLP-driven language learning tools. Her research interests lie at the intersection of Natural Language Processing and educational technology , with a focus on: Automatic generation of linguistically variable exercises Adaptive exercise selection based on learner profiles Modeling exercise difficulty and co-text complexity Curriculum-aligned content generation from authentic texts Design of student dashboards for intelligent tutoring systems Her recent publications (2022–2024) show a consistent focus on enhancing adaptivity in language learning through computational methods. She leverages NLP to generate, parameterize, and tailor exercises, contributing to more personalized and effective foreign language instruction. Her work bridges AI innovation with practical classroom applications. Scientific Contributions: Multiple publications in top-tier venues such as EUROCALL , BEA , and NLP4CALL Open-access research promoting transparency and reproducibility Interdisciplinary work combining linguistics, computer science, and pedagogy Tanja Heck is actively involved in research and doctoral training, contributing to the advancement of AI in education. While no formal advising or grant information is provided, her role in major projects indicates active engagement in funded research. She is part of a dynamic research team working on next-generation educational technologies.

Jiatao GuView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Jiatao Gu is an Assistant Professor in the Department of Computer and Information Science (CIS) at the University of Pennsylvania, with a planned start in Fall 2025. He also works as a part-time Staff Research Scientist at Apple (MLR) and previously served as a full-time Research Scientist at Meta AI (FAIR Labs). His academic journey includes a Ph.D. in Electrical and Electronic Engineering (2018) from the University of Hong Kong under Prof. Victor O.K. Li, and a B.Eng. in Electronic Engineering (2014) from Tsinghua University.

Ivan PeraićView profile

Assistant Professor

• E-learning systems
• Learning Analytics
• Educational Data Mining
• +3 more

Ivan Peraić is an Assistant Professor at the Department of Information Sciences and Technologies, University of Zadar. He is stationed in Room 0.7 and can be reached via email at iperaic@unizd.hr . His research focuses on e-learning systems, learning analytics, data mining for educational purposes, and data visualization. He teaches courses such as Programming Basics and actively contributes to the academic community through collaborations and projects. Peraić's work emphasizes leveraging data-driven approaches to enhance educational outcomes, including the design of learning analytics dashboards for platforms like Moodle. His research spans topics from student engagement analysis using K-means clustering to predictive modeling of academic performance in programming courses. He has also explored natural language processing applications in Croatian educational contexts, such as POS tagging for intelligent tutoring systems. Consultation hours are held Tuesdays from 8:00 to 10:00 AM via prior email arrangement. His contributions to educational technology and data science have been recognized through publications in peer-reviewed journals and conference proceedings.

Gousios CharalamposView profile

Professor

• International Relations
• European Studies
• French Language Teaching
• +4 more

Charalampos Gousios is a Professor in the Department of International and European Studies at the University of Piraeus. He specializes in French terminology for international relations, European institutions, and the application of new technologies in language education. Since 2007, he has coordinated the Erasmus+ and Erasmus placement programs for the department. He is also a fellow at the Research Unit on Rhetoric, Communication, and Persuasion, focusing on France-related studies. **Education**: PhD in Social History (University of Sorbonne – Paris IV) B.A. in History (University of Ioannina) Masters in Social History (University of Nantes) B.A. in Greek and French Language/Literature (National and Capodistrian University of Athens) **Research Interests**: French language pedagogy, international relations terminology, EU policy frameworks, educational technology integration, and multilingualism strategies. His work emphasizes innovative teaching methods and the use of digital tools in foreign language instruction. **Grants & Programs**: Active in Jean Monnet European programs (e.g., 'Europestarts', 'YouthActive', and 'BEST teachers'), focusing on pedagogical innovation and teacher training in new technologies. His contributions include designing e-learning scenarios and promoting multilingualism. **Awards**: No specific scientific awards mentioned in the text. **Labs/Teams**: Affiliated with the Research Unit on Rhetoric, Communication, and Persuasion, contributing to studies on political discourse and media analysis.

Franziska LysView profile

Professor

• Second Language Acquisition
• Computer-Assisted Language Instruction
• Foreign Language Education
• +3 more

Prof. Franziska Lys is a Professor of German at Northwestern University, specializing in the integration of technology and media into language education. Her work focuses on leveraging innovations like interactive software (e.g., Drehort: Neubrandenburg Interaktiv, Intermatik) and digital tools to enhance foreign language learning. She has produced multiple award-winning documentaries, including Neubrandenburg series and AZUBI , which serve as educational resources for cultural and linguistic studies. Education: B.A. & M.A. from University of Rochester; Ph.D. from Northwestern University. Her research spans over 30 years, supported by $135k in grants since 2010. Notable contributions include: Developed interactive multimedia language software Recipient of the 2008 Best Article Award in Teaching German Pioneered iPad-based language learning techniques Co-edited Virtual Walls , analyzing post-Wende Germany Her pedagogical innovations include interdisciplinary projects like the Notunterkunft web documentary about Syrian refugees in Berlin. She has also collaborated extensively with Dr. William Anthony on documentary filmmaking and co-taught advanced courses on refugee integration in Germany. Grants & Funding: Secured 16 grants totaling $135k in the last decade, combining internal ($110k) and external ($25k) support. Active in cross-departmental initiatives to support students with disabilities in language programs. Labs/Teams: Lead developer of Intermatik grammar software and interactive documentary platforms. Collaborates with tech firms and educational NGOs to advance language pedagogy.

Abdulrahman MahmoudView profile

Assistant Professor

• Computer Architecture
• Machine Learning Systems
• GPU/Accelerator Design
• +5 more

Abdulrahman Mahmoud is an Assistant Professor of Computer Science at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, UAE. His research focuses on co-designing future ML systems for high performance, reliability, and resource allocation efficiency. Prior to MBZUAI, he was a postdoc researcher at Harvard University and completed his PhD at UIUC. He holds a BSE from Princeton University. Education: PhD in Computer Science, UIUC (2016-2020) BSE in Electrical Engineering, Princeton University (2012) Research interests span computer architecture, ML systems, GPU/accelerator design, and sustainable computing. He emphasizes resilience in AI systems and hardware-software co-design. Recent work includes frameworks like PyTorchFI for robustness analysis and GoldenEye for DNN accelerator evaluation. Key contributions include over 50k downloads of PyTorchFI and publications at top venues like ICLR, NeurIPS, and IEEE TCAD. His work addresses environmental impacts of PFAS in computing systems and quantum computer performance modeling. Awards include the Mavis Future Faculty Fellowship and Lynn Conway Research Award. He leads the ML and Systems Rising Stars program and serves on conference PCs (MICRO, ASPLOS). He mentors students via the CASA and CALM initiatives. Labs/Teams: Organizes workshops like uArch 2023 and co-chairs events such as the Harvard Architecture Group. Active in diversity initiatives like the 3C Fellows program.

Yuyan WangView profile

Assistant Professor

• Machine Learning
• Recommender Systems
• Personalization
• +3 more

Yuyan Wang is an Assistant Professor of Marketing at Stanford Graduate School of Business and the Kevin J. O’Donohue Family Faculty Scholar (2024-2025). She holds a PhD in Statistics from Princeton University (2016) and a BSc from the Special Class for the Gifted Young at USTC (2012). Before academia, she spent 7 years as a machine learning scientist/engineer at Uber and Google DeepMind. Her research focuses on the intersection of marketing, machine learning, and statistics, with a emphasis on improving AI systems' long-term values and fairness. Key contributions include optimizing multi-sided marketplaces, developing intent-based recommendation frameworks, and deploying solutions with global business impact. Awards include the Steven Shugan Best Junior Faculty Paper Award (2025) and CIST Best Paper Award (2022). She teaches Stanford's first AI-focused MBA course, MKTG321, which received exceptional student feedback (mean instruction rating: 4.9/5). Education Highlights: PhD in Statistics, Princeton University (2016) BSc in Statistics, USTC Special Class for Gifted Youth (2012) Research Themes: Recommender Systems & Personalization Algorithmic Fairness & Long-Term Optimization User Intent Modeling & Explainer Systems Multi-Sided Marketplace Algorithms Awards & Recognitions: Steven Shugan Best Junior Faculty Paper (AIM 2025) CIST Best Paper (2022) Top 10 ML Article (0.7% selection) for Uber's Food Discovery work Teaching & Mentorship: Course creator of 'Understanding AI Technologies for Business Problems' (GSB's first AI MBA course) Mentor for 3+ students in CS research programs targeting marginalized groups Industry mentor at Google Brain and Uber Key Collaborations: Google DeepMind Uber Industry partnerships with Netflix, Clari, OpenAI, etc.

Songmei YuView profile

Professor

• Web Mining
• Distance Learning
• Data Warehouse and Data Modeling
• +5 more

Dr. Songmei Yu is a Professor in the Department of Computer Science at Felician University’s School of Business and Information Sciences. She holds a PhD in Information Technology from Rutgers University (2006), an MS in Computer Science from SUNY Stony Brook (2000), and a BS in Civil Engineering from Sichuan University. Her academic positions at Felician University have included Professor (2021–present), Associate Professor (2013–2021), and Assistant Professor (2008–2013). Research Interests: Web Mining for community discovery, distance learning effectiveness, data warehouse optimization, and data modeling. Teaching Interests: Database systems, data mining, programming, game development, and web scripting. Her publications focus on social media analytics, educational technology, and spatial data warehouse optimization. She has collaborated extensively with Dr. Sofya Poger and others on adaptive teaching methods and influence modeling in mobile platforms. Contact: YuS@felician.edu.