Find Academic Supervisors

Wenbin ZhangView profile

Assistant Professor

• Societal Aspects of AI
• Generative AI
• Health Informatics
• +5 more

Wenbin Zhang is an Assistant Professor in the Knight Foundation School of Computing & Information Sciences at Florida International University and an Associate Member at the Te Ipu o te Mahara Artificial Intelligence Institute. His research focuses on the theoretical foundations of machine learning with societal impact, including fairness, generative AI, health informatics, and interdisciplinary applications in healthcare, digital forensics, and energy. He has received awards such as the NSF CRII Award and recognition in the AAAI’24 New Faculty Highlights. Zhang serves in organizing committees for major conferences like AAAI, WSDM, and AIES, contributing to academic leadership. Ph.D., University of Maryland, Baltimore County (2020) Research interests span societal aspects of AI, generative models, and fairness-aware machine learning. His work bridges theory and practice, addressing ethical challenges in AI deployment across domains like healthcare and cybersecurity. Key contributions include frameworks for fair graph learning, bias mitigation in LLMs, and adaptive pruning techniques for large models. Publications emphasize fairness in ML systems, digital forensics, and interdisciplinary applications. Over 50 papers span venues like FAccT, ICDM, and AAAI, with multiple best-paper recognitions. His NSF-funded research highlights innovation in fair AI and robust model adaptation. Scientific Awards: NSF CRII Award, FAccT’23 Best Paper Candidate, ICDM’23 Best Paper Academic service includes roles as Travel Award Chair (AAAI’24), Volunteer Chair (WSDM’24), and Student Program Chair (AIES’23). Teaching and mentorship are integral to his mission, fostering next-generation AI researchers through rigorous training in ethics-driven innovation. Labs/Teams: Active collaborations with the Te Ipu o te Mahara Institute, focusing on AI ethics and societal impact.

Rehan AkbarView profile

Teaching Professor

• Software Engineering
• Cybersecurity
• Human-Computer Interaction
• +3 more

Dr. Rehan Akbar is an Associate Teaching Professor at Florida International University's Knight Foundation School of Computing and Information Sciences. He has over 22 years of experience in academia and industry, specializing in outcome-based education and curriculum design. He holds a PhD in Information Technology from Universiti Teknologi PETRONAS (2013), and advanced degrees from multiple institutions in Pakistan. His research focuses on cybersecurity, software engineering, human-computer interaction, and big data usability. He has secured multiple grants for ransomware detection, cloud computing optimization, and software project management. His work includes developing frameworks for intrusion detection systems and improving real-time data transmission in IoT networks. Dr. Akbar has led research groups such as 'Software Engineering and Knowledge Management' and 'Software, Systems, and Humans'. He is a Senior Member of IEEE and contributes to peer-reviewed journals/conferences as a reviewer and editor. His teaching spans software project management, database systems, and e-commerce courses. Recent research trends show strong emphasis on ransomware mitigation strategies, deep learning applications in healthcare, and optimizing cloud/IoT systems. His 2024 publications address ransomware taxonomy, early pandemic detection via AI, and cybersecurity insurance frameworks.

• Web Engineering
• Web Measurement
• Web Security
• +3 more

Dr Yanlong Zhang is a Senior Lecturer at Manchester Metropolitan University. He holds a PhD in Software Engineering and a PGCE in Higher Education, complemented by industry experience as an Assistant Engineer, Engineer, and Teaching Assistant. His research focuses on web engineering, including web measurement, security, and games design, with particular attention to software metrics and user interface design. Teaching responsibilities include undergraduate modules on web design and development, computer systems, game design, and human-computer interaction, as well as postgraduate courses in information systems. His work explores GUI generation using GANs, structural similarity in source code, and navigability metrics for websites. Research outputs span topics like melanoma classification via image similarity and quality analysis of software architectures. His publications demonstrate expertise in both theoretical frameworks (e.g., HASARD model) and applied systems (e.g., MEIC design). Office hours are Monday 10-11, 1-2, and Thursday 10-11. Proficient in English, Chinese, and basic Japanese/German, Dr Zhang contributes to education and industry through his roles as a Fellow and teaching-focused academic. His work bridges software engineering principles with practical web development challenges.

Mako NozuView profile

Senior Lecturer

• Japanese Language Education
• Task-based Language Teaching
• Japanese Calligraphy
• +3 more

Mako Nozu serves as a Senior Lecturer in the Department of World Languages at the University of South Florida (USF), with a focus on Japanese language instruction. Since 2004, she has taught all levels of Japanese courses, including Japanese Calligraphy, and was recognized as a Master Instructor in 2019. She holds a teaching specialization in Task-based Language Teaching (TBLT), which she integrates into her curriculum to enhance practical language skills. Additionally, she leads a summer program in Japan, emphasizing cultural immersion, and has done so since 2014. Her academic and professional affiliations are centered at USF’s Tampa campus, where she is based in CPR 447. While no formal academic degrees or institutional education details are listed in the provided text, her expertise clearly lies in language education and cultural transmission. Mako Nozu’s research interests and contributions are reflected in her pedagogical approach and program leadership. She actively promotes cultural engagement through her advisory roles for the Japanese Culture Club and Japanese Language Club at USF. Her work underscores a dedication to both linguistic proficiency and cross-cultural understanding. In terms of advising, she mentors students in extracurricular cultural organizations but no formal grants or specific research grants are mentioned. Her involvement in the summer program suggests collaborative efforts with educational institutions or partners in Japan, though explicit details about teams or labs are absent.

• Big Data
• Project Management
• Process Automation
• +4 more

Edward Stohr is a Professor of Information Systems and Academic Coordinator for the Master of Science in Business Intelligence and Analytics and Master of Science in Information Systems programs at Stevens Institute of Technology's School of Business. He has held academic leadership roles, including Chair of the Department of Information Systems at NYU’s Stern School of Business and Director of Stern’s Center for Research on Information Systems. His research focuses on organizational systems, decision support, and technology management, with over 100 publications in top journals. He has visiting appointments at institutions like INSEAD and the University of Melbourne. Education: BE (1959) Melbourne University (Civil Engineering) MBA (1969) University of California, Berkeley (Business Administration) PhD (1973) University of California, Berkeley (Information Science) MS (2017) Stevens Institute of Technology (Engineering, Honoris Causa) Research Interests: Big Data & Organizations Process Automation & Workflow Management Machine Learning/AI Optimization Decision Support Systems Business Rules Management Grants & Awards: Henry Morton Distinguished Teaching Professor (2013–) Citibank Award for Excellence in Teaching Research Professor at NYU Stern (1998–2001) Lead roles in $50k–$75k grants for homeland security and workflow management projects Advising & Leadership: Co-founder and Chair of Stevens’ Interdisciplinary PhD in Data Science (2018–2021) Chair of School Promotion & Tenure Committee Coordinator for AACSB Accreditation Labs & Teams: Leads initiatives in enterprise intelligence, workflow automation, and interdisciplinary data science programs.

• Norwegian as a Second Language
• Language Teaching Methodology
• Linguistics
• +3 more

Knut Ørke serves as a Senior Lecturer in Norwegian as a Second Language at the Department of Language and Culture, UiT The Arctic University of Norway in Tromsø. He is an active faculty member within the Faculty of Humanities, Social Sciences and Teacher Education, contributing to both teaching and research initiatives focused on Norwegian language acquisition. His research interests span Norwegian as a Second Language instruction, language teaching methodology, linguistics, dialect studies, and constructicon-based language teaching approaches. Dr. Ørke's work emphasizes practical applications of linguistic theory to classroom settings, particularly for non-native speakers of Norwegian. His recent projects demonstrate a strong focus on teacher development and resource creation for Norwegian language educators. Dr. Ørke's scholarly output shows consistent focus on improving Norwegian language education through innovative teaching methods. His recent publications address teacher exchange platforms, preparatory materials for language instructors, constructicon-based grammar resources, and dialect usage in language learning contexts. He is an active member of the AcqVA-Nor research group and contributes to the "Språkmentor" project providing oral language support to pharmacy students learning Norwegian as a second language. His collaborative work involves multiple colleagues across the Department of Language and Culture, reflecting strong engagement with the academic community.

Jo-Anne LeFevreView profile

Professor

• Cognitive Development
• Numerical Cognition
• Mathematics Education
• +3 more

Jo-Anne LeFevre is a Chancellor's Professor and Chair of the Department of Cognitive Science at Carleton University, within the Faculty of Arts and Social Sciences. She holds a Ph.D. from the University of Alberta. Her research focuses on cognitive development and numerical cognition, particularly exploring individual and developmental differences in mathematical learning. Key areas include mental arithmetic strategies, working memory's role in mathematics, early numeracy skill development, and cross-cultural studies of home numeracy environments. Her research emphasizes applied projects such as language's role in mathematical learning for elementary students and tools for assessing early numeracy. She has published extensively on topics like math anxiety, bilingual education, and intervention strategies for improving mathematical outcomes. LeFevre's work bridges theoretical and applied research, contributing to both academic understanding and educational policy. Notable contributions include cross-national studies on quantity comparison, hierarchical models of mathematical competencies, and analyses of home learning environments' impact on academic performance. Her research frequently addresses equity issues in education, particularly for bilingual and socioeconomically diverse populations. LeFevre's academic leadership includes chairing the Cognitive Science department and supervising numerous graduate students. While specific awards are not listed, her prolific output and institutional roles reflect significant scholarly impact.

Bernard IssaView profile

Assistant Professor

• Second Language Acquisition
• Attention Mechanisms
• Working Memory
• +4 more

Bernard Issa is an Assistant Professor of Spanish Linguistics in the Department of World Languages and Cultures at the University of Tennessee. He serves as First-Year Spanish Language Program Director and Language Training Coordinator for Graduate Students. His PhD in Second Language Acquisition was earned at the University of Illinois at Chicago, supported by National Science Foundation and Language Learning dissertation grants. Dr. Issa's research uses eye-tracking to investigate how individual differences (motivation, attention, working memory, L2 usage) interact with instructional interventions and learning contexts to impact second language grammar processing and acquisition. His work bridges cognitive psychology and language pedagogy, with special focus on study abroad programs and technology-mediated learning. His publication record demonstrates consistent methodological innovation in SLA research, particularly through eye-tracking and multisite replications. Recent work (2022-2025) shows expanded focus on technology-mediated TBLT, heritage bilingualism, ecological validity in assessment, and quantitative approaches to study abroad research. As program director, he oversees curriculum development for Spanish language training. His grant-supported dissertation examined attentional allocation during grammar learning, establishing foundational work for his ongoing research into cognitive aspects of L2 acquisition.

Hasegawa, AtsushiView profile

Associate Professor

• Second Language Acquisition
• Language Pedagogy
• Conversation Analysis
• +3 more

Atsushi Hasegawa is an Associate Professor in the Department of East Asian Languages & Literatures at the University of Hawaiʻi at Mānoa, serving as the Japanese Section Coordinator. He holds a PhD in Second Language Acquisition (with a minor in Japanese) from the University of Wisconsin-Madison, an MA in Japanese from Purdue University, and a BA in Japanese Language & Culture from the University of Tsukuba. His research focuses on Second Language Acquisition, Language Pedagogy, Conversation Analysis, and Social Network Analysis. He has authored a key book, The Social Lives of Study Abroad (Routledge, 2019), which examines language learners' experiences through interdisciplinary methods. His work bridges micro-level interactional analysis and macro-level social network studies, highlighting how sociocultural contexts influence language development. Recent publications include analyses of classroom materials' sociomaterial effects, impacts of study abroad pledges, and trends in Japanese SLA research. His work often intersects with applied linguistics and educational practices, emphasizing practical and theoretical contributions to language teaching and multilingualism. While his affiliation history includes positions such as Assistant Professor at the University of Kentucky (per his book bio), his current role remains at UH Mānoa. No specific advising or grant details are provided in the texts, though his research demonstrates engagement with institutional and programmatic contexts.

Jordan KodnerView profile

Assistant Professor

• Computational Linguistics
• Language Acquisition
• Morphology
• +3 more

Jordan Kodner is an Assistant Professor in the Department of Linguistics at Stony Brook University, with affiliations to the Institute for Advanced Computational Science, Department of Computer Science, Institute for AI-Driven Discovery and Innovation, and the Natural Language Processing (NLP) group. He holds a PhD in Linguistics (2020) and a Master's in Computer and Information Science (2018) from the University of Pennsylvania. His research focuses on computational models of child language acquisition, particularly morphology, and its implications for NLP and language variation/change. He has worked on defense/medical projects at Raytheon BBN Technologies (2013-2015) and interned at Amazon Alexa AI in 2020. Research interests include computational linguistics, morphology, language acquisition, cognitive science of language, and low-resource NLP. He is writing a book on language change mechanisms grounded in child acquisition models. Teaching includes courses like LIN 260 (Language and Mind), LIN 330 (Language Acquisition), and LIN 537 (Computational Linguistics I). His work spans multiple languages (e.g., Arabic, Armenian, German, Korean, Spanish) and integrates findings from historical linguistics, sociolinguistics, and computational methods. Key contributions include studies on morphological learning, neural network limitations, and language change actuation via acquisition processes.

Edward SarastyView profile

Lecturer

• Spanish for Specific Purposes
• Curriculum Development
• Virtual Reality in Language Education
• +3 more

Edward Sarasty is a Spanish Instructor specializing in Spanish for Specific Purposes at Colorado State University's Department of Languages, Literatures and Culture. He holds dual MA degrees in TEFL/TESL and Languages, Literatures, and Cultures (Spanish emphasis) from CSU, alongside a B.A. in Foreign Languages (English-French) from Universidad del Valle, Colombia. Education: MA in TEFL/TESL (CSU) MA in Languages, Literatures & Cultures (Spanish emphasis) (CSU) BA in Foreign Languages (English-French) (Universidad del Valle) His research focuses on curriculum design for professional language contexts, integrating virtual reality for veterinary Spanish education, and technology-driven task-based language pedagogy. He develops innovative assessment frameworks emphasizing formative evaluation in language learning environments. No academic awards or grants are explicitly mentioned in the provided materials. His professional activities include materials design and instruction for specialized language applications.

Jun XuView profile

Associate Professor

• Japanese
• Chinese
• Second Language Acquisition
• +1 more

Jun Xu is an Associate Professor of Chinese and Japanese at Colorado State University (CSU), affiliated with the Department of Languages, Literatures, and Culture within the College of Liberal Arts. His expertise spans Japanese and Chinese linguistics, with a focus on Second Language Acquisition (SLA) and Pragmatics. He holds a Ph.D. from the University of Wisconsin-Madison. Dr. Xu teaches advanced courses in both Chinese and Japanese, including third-year language sequences and specialized topics like historical aspects of language and society. His research explores technology integration in language learning (e.g., machine translation in writing), learner motivation, and pragmatic features of particles in Japanese and Chinese. His recent work highlights studies on the impact of the pandemic on L2 motivation, comparative analyses of Japanese sentence-final particles (yone vs. ne), and student perspectives on technology use in language education. He has also investigated tandem language partner programs and learner beliefs about machine translation. No scientific awards are explicitly listed. He advises no students in the provided texts but contributes to curriculum design and pedagogical innovation in language education. Dr. Xu collaborates on initiatives like the Center for LSP Education and Research at CSU, emphasizing practical language skills and cultural literacy. His work bridges theoretical SLA research with applied classroom practices.

Jennifer FosterView profile

Associate Professor

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +4 more

Dr. Jennifer Foster is an Associate Professor and Associate Dean for Teaching and Learning in the Faculty of Engineering and Computing at Dublin City University. She specializes in Natural Language Processing (NLP) and AI, with a focus on language parsing, sentiment analysis, and Irish language technology. She leads projects funded by Science Foundation Ireland (SFI) and other agencies, supervising 11 PhD students to completion and currently mentoring four more. Her research spans NLP applications including grammar checking, question answering, and neural language model evaluation. She teaches NLP courses for Data Science and Computing programs, as well as introductory Python programming. Foster has authored over 100 peer-reviewed publications and serves on conference program committees, including the Association for Computational Linguistics executive board (2016-2019). Recent work includes developing gaBERT, an Irish language model, and exploring machine-generated story coherence. Her contributions to resources like the Irish Universal Dependencies Treebank and the GenERRate error-generation tool highlight her commitment to advancing NLP for under-resourced languages.

Tom WilliamsView profile

Associate Professor

• Human-Robot Interaction
• Natural Language Processing
• Robot Ethics
• +1 more

Dr. Tom Williams is Associate Professor of Computer Science and Director of the MIRRORLab at Colorado School of Mines. His research program centers on natural language-based human-robot interaction with emphasis on ethical, social, and contextual dimensions of communication. Williams investigates how robots can understand and generate context-sensitive language, particularly in morally complex situations. Current projects explore role-based moral reasoning, politeness strategies, and cultural variations in human-robot interaction. His work integrates cognitive science, artificial intelligence, and human-computer interaction methodologies. He has received significant recognition including NSF CAREER, NASA Early Career Faculty, and AFOSR Young Investigator awards. Williams teaches courses in Human-Robot Interaction, Robot Ethics, and Computer Vision, maintaining international collaborations on socially intelligent robotic systems.

• Biological and Artificial Vision
• Human Sensory Augmentation
• Secure Data Analytics
• +3 more

Dr. Noel Murphy is an Associate Professor and Head of the School of Electronic Engineering at Dublin City University (DCU). He has held various leadership roles, including Associate Dean for Education in the Faculty of Engineering and Computing (2005-2007), Head of School (2007-2012, 2015-2018, and returning in 2021). He has been teaching at DCU since 1986 and has contributed extensively to academic governance, including roles on Academic Council and Governing Authority committees. Dr. Murphy holds a BA (Mod) in Theoretical Physics from Trinity College Dublin (TCD), a PhD from DCU (2003) on Information Theory models for Biological and Artificial Vision, and a part-time MA in Pure Mathematics from Maynooth University (2015). His research focuses on: Biological and Artificial Vision: Including Information Theoretic models and the work of Stephen Grossberg. Secure Data Analytics: Particularly leveraging SGX-enabled applications for data ownership control. Algebraic Number Theory: Exploring elliptic curves and Apéry's Constant. IoT and Edge Computing: Focusing on secure processing for IoT applications. Human Sensory Augmentation and Multimedia Information Retrieval. In addition to his teaching and leadership roles, Dr. Murphy has supervised numerous PhD and Master's students to completion. He has secured funding as Principal Investigator or co-Investigator on national and EU-funded research projects. He is affiliated with DCU's Entwine Research Centre. Outside academia, Dr. Murphy is Honorary Secretary of the Irish Light Aviation Society, holds a Private Pilot’s License, and is involved in aircraft restoration projects, including a 1940 Piper J5 and a Vans RV-8.