Find Academic Supervisors

José A. Ruipérez ValienteView profile

Associate Professor

• Educational Technologies
• Data Science
• Human-Computer Interaction
• +8 more

José A. Ruipérez Valiente is an Associate Professor at the University of Murcia's Information and Communications Engineering Department. He has held academic positions at institutions such as the Complutense University of Madrid and MIT, focusing on educational technologies and data-driven approaches in learning environments. His research bridges human-computer interaction with online learning, serious games, and cybersecurity. He holds prestigious fellowships like the Juan de la Cierva and Humboldt Awards. Education: PhD in Telematics (2017) from Universidad Carlos III de Madrid MSc and M.Eng. in Telecommunications (2013-2014) B.Eng. in Telecommunications Systems (2011) from Universidad Católica San Antonio de Murcia Research Interests: His work emphasizes AI in education, cybersecurity training, disinformation analysis, and game-based assessment. He develops tools like DISINFOX for threat intelligence and frameworks for interoperable game-based learning. Awards: 2021: Humboldt Research Fellowship 2018: Person from Murcia of the Year 2018: Four Best PhD Thesis Awards Advising & Projects: He advises on cybersecurity training via platforms like SCORPION Cyber Range and collaborates on MOOC analytics. His work spans global education trends and ethical AI applications. Labs & Teams: Associated with MIT's Teaching Systems Lab and the University of Murcia's cybersecurity research groups.

• Behavioral Economics
• Economic Pedagogy
• Education Research
• +3 more

Mariya Burdina is an Associate Professor of Economics at the University of Central Oklahoma. She holds a Ph.D. and M.A. in Economics from the University of Colorado, an M.A. in Transportation Economics from North Dakota State University, and a B.B.A. in Management of Industrial Organizations from Kiev National Economic University. Her research focuses on behavioral economics, pedagogical strategies in higher education, and the interplay between socioeconomic factors and human behavior. Key research areas include the relationship between goal-setting and performance, effectiveness of teaching techniques for Generation Y/Z students, and the psychological impacts of environmental disasters like Chornobyl. She has published extensively on topics ranging from property crime analysis to stock market reactions to regulations, demonstrating expertise across applied economics domains. Burdina's work shows a trend towards interdisciplinary research, blending economics with education theory, public policy, and health sciences. Notable contributions include studies on Boston Marathon qualifying standards as performance benchmarks and the long-term psychosocial effects of nuclear accidents in Ukraine. She is also recognized for her 2019 Vanderford Distinguished Teacher Award, reflecting her commitment to innovative pedagogy. In advising and grants, while specific student names are not listed, her publications indicate active collaboration with researchers like N. Metz, S.L. Sasser, and R.S. Hiller. Her office is located in THH 214 (Box 103), and she can be reached at mburdina@uco.edu.

• Human-Robot Interaction
• Affective Computing
• E-commerce Search Algorithms
• +4 more

Mingming Li is an active professor at the Chinese Academy of Sciences with extensive research contributions across multiple domains including human-robot interaction, e-commerce systems, and wireless communications. With over 110 publications spanning from 2007 to 2025, Dr. Li demonstrates consistent scholarly productivity and leadership in interdisciplinary research. Dr. Li's research interests span Human-Robot Interaction , Affective Computing , E-commerce Search Algorithms , Machine Learning , and Wireless Communications . Recent work focuses on understanding how humanoid robots' multimodal characteristics (appearance, voice, touch) affect users' emotional responses and cognitive processing, employing physiological measures like ECG and fNIRS. Simultaneously, Dr. Li leads research in e-commerce search optimization, developing novel deep learning architectures for improved recommendation systems. The publication record reveals significant trends toward increasingly sophisticated multimodal analysis in HRI and more efficient neural architectures for practical applications. Dr. Li's work bridges theoretical advancements in machine learning with practical implementations in human-centered systems. Dr. Li has advised numerous graduate students including Jiahao Chen, Aung Naing Win, and Songlin Wang, with whom collaborative publications demonstrate strong mentorship. Research has been supported by substantial funding reflected in the volume and quality of publications across top venues. Current research activities include leading projects on digital twin-based thermal error compensation, multimodal affective robot design, and advanced search algorithms for e-commerce platforms, indicating an active laboratory environment with multiple ongoing research threads.

• Mathematics Education
• Educational Technology
• Virtual Reality in Education
• +3 more

Dr. Andy Yeh is a researcher at the School of Education, Queensland University of Technology (QUT), with a PhD (2007) in Mathematics Education focused on 3D geometry in virtual reality microworlds. He has collaborated extensively on topics like STEM integration, teacher professional development, and technology-enhanced learning. Research Interests: His work bridges mathematics education, virtual reality, and educational technology, with a focus on improving teacher knowledge, integrating digital tools into STEM/STEAM curricula, and exploring spatial reasoning in 3D environments. Recent articles examine pandemic-era educational challenges and immersive 360-degree video applications. Publications Trends: His 15 most recent works highlight applications of virtual reality in geometry education, teacher training for technology integration, and cross-cultural studies of classroom environments. Subfields include STEAM pedagogy, 3D modeling, and curriculum design. Collaborations: Andy Yeh has co-authored with scholars like Dr. Vinesh Chandra, Professor Rodney Nason, and Dr. Kar-Tin Lee, focusing on projects that link technology with mathematics/science education.

Bilal OzcakirView profile

Associate Professor

• Mathematics Education
• Educational Technology
• Dynamic Geometry Software
• +3 more

Dr. Bilal Ozcakir is an Associate Professor in the Department of Mathematics Education at Alanya Alaaddin Keykubat University's Faculty of Education. He holds a PhD in Primary Education (2017) and MA in Science and Mathematics Education (2013) from Middle East Technical University. His academic career includes roles as a Research Assistant at Kirşehir Ahi Evran University (2012–2019) and Celal Bayar University (2011–2012), before advancing to his current position. He served as Head of the Department of Mathematics Education at his current institution since 2022 and currently holds the Deputy Director of the Research and Application Center. Education Background: PhD in Primary Education (2013–2017), Middle East Technical University MA in Science and Mathematics Education (2010–2013), Middle East Technical University Bachelor's in Mathematics Education (2005–2010), Middle East Technical University Research Interests: Dr. Ozcakir specializes in Mathematics Education with a focus on Augmented Reality (AR) applications , Dynamic Geometry Software , and Teacher Professional Development . His work bridges technology integration with cognitive aspects of learning, particularly in spatial reasoning and gifted education. Recent studies explore AR's role in special education and TPACK development among teachers. Publications Overview: His research spans over 30 peer-reviewed articles in journals like Education and Information Technologies (SSCI) and International Journal of Science and Mathematics Education . Key themes include AR's impact on student achievement, AR toolkit design, and metacognitive strategies in problem-solving. Awards & Grants: Recipient of the Academic Achievement Award 2023 Lead researcher on TUBITAK-funded projects like Augmented Reality Enriched Classrooms (2018–2022) Editorial board member of Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi since 2019 Advising & Projects: Supervised multiple thesis projects on AR applications and educational technology. Active in designing innovative curricula, including the Ahi Yeterlilik-Based Education Project and gamification initiatives in teacher training. Labs & Teams: Collaborates with the Mathematics Education Laboratory at his institution, focusing on technology-enhanced learning environments. Leads interdisciplinary teams for AR development in STEM education.

• Critical Theory
• Political Thought
• Geographies of Race
• +6 more

Nicole K. Mayberry is an Assistant Research Professor at Arizona State University's School of Public Affairs and a Senior Global Futures Scientist with multiple ASU affiliations including the University Design Institute and Global Futures Scientists and Scholars program. Based in Washington, D.C., she maintains strong ties to her home state of Arizona where she earned all her academic credentials. Her educational background includes: Ph.D. in Human and Social Dimensions of Science and Technology from Arizona State University (2018-2022) MA in Political Science (Political Theory and Philosophy) from Arizona State University (2016-2018) BS in Political Science from Arizona State University (2012-2016) As a cultural geographer and transdisciplinary researcher, Mayberry's work examines how stories construct and spatialize racial hierarchies, with particular attention to racial and anti-Black formations in the United States that often go unexamined, especially the quotidian presence of whiteness. She approaches stories as maps that organize meaning, establish boundaries, and reproduce hierarchies. Her research interests span Critical Theory, Political Thought, Geographies of Race, Race Colonialism, Spatial Politics of Place, Contemporary Geographic Thought, and Science Technology and Society. Mayberry's scholarly output shows a strong focus on critical theory, particularly the work of Herbert Marcuse, and its application to contemporary issues of race, technology, and spatial politics. Her publications explore connections between critical theory, racial formations, and technological development, often examining how narratives shape our understanding of social hierarchies and possibilities for liberation. Her professional affiliations include: Royal Geographic Society American Association of Geographers International Herbert Marcuse Society American Political Theory Association Mayberry teaches courses including Identity Service America Democ (PAF 112), Reading and Conference (SOS 790), Ways of Knowing (FIS 305), and various Special Topics courses across multiple departments at ASU.

• Cognitive Science
• Artificial Intelligence in Psychology
• Virtual Reality Applications
• +3 more

Chiara Lucifora is a Junior Assistant Professor (fixed-term) at the Department of Philosophy, University of Bologna. Her research focuses on Cognitive Sciences, integrating Artificial Intelligence and Virtual Reality (VR) to study human cognitive and behavioral processes in ecological environments. She is an Associate Researcher at the Institute of Cognitive Sciences and Technologies (ISTC-CNR) in Rome and collaborates with national and international teams across computer science, philosophy, and neuroscience. As Lab Manager of the XR-GRACE Laboratory, she explores immersive technologies' impact on empathy, moral reasoning, and social cohesion. Her work bridges neuroscience, ethics, and technology, addressing topics like fear conditioning, vaccine hesitancy, and AI's role in creative processes. Education & Experience: Researcher at University of Bologna since 2023 Associate Researcher at ISTC-CNR, Rome Collaborations: IMT School for Advanced Studies Lucca, University of Messina, Human-Tech Institute, IfADo Lab Research Interests: VR applications in experimental psychology Cognitive processes in ecological environments Moral psychology and decision-making AI integration in psychological practice Neuroethical challenges in autonomous systems Her recent studies investigate fear extinction learning, vaccine hesitancy predictors, and empathy enhancement via VR. Lab & Teams: Leads the XR-GRACE Laboratory, focusing on extended reality (XR) for cognitive and social research. Collaborates across disciplines to develop innovative VR paradigms for therapeutic and educational applications.

Polly O'RourkeView profile

Researcher

• Psycholinguistics
• Cognitive Neuroscience
• Second Language Acquisition
• +3 more

Dr. Polly O’Rourke serves as the Director of Research Development at the University of Maryland’s College of Information Studies. Previously, she held roles as an Assistant and Associate Research Scientist at the Center for Advanced Study of Language (CASL) and its successor, the Applied Research Lab for Intelligence and Security (ARLIS). Her research focuses on interdisciplinary areas such as psycholinguistics, cognitive neuroscience, and second language acquisition, with a particular emphasis on neurostimulation’s role in enhancing language learning and cognitive performance. She earned her PhD in Linguistics from the University of Arizona in 2007. Her work explores how non-invasive neurostimulation techniques, like transcutaneous vagus nerve stimulation, can improve second-language vocabulary acquisition, mitigate fatigue, and enhance focus. She also investigates the cognitive underpinnings of language processing, including working memory’s role in verbal learning and the neural mechanisms underlying semantic representation in tonal languages. Dr. O’Rourke has contributed to frameworks addressing AI integration into human teams and has published extensively on topics ranging from aphasia therapy outcomes to the design of spatial integration tasks using emoji-based stimuli. Her research bridges applied linguistics, neuroscience, and educational technology, emphasizing practical applications for learning and rehabilitation.

Derek RaysideView profile

Associate Professor

• Autonomous Systems
• Software Engineering
• Formal Methods
• +3 more

Derek Rayside is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, and serves as Associate Dean for Co-operative Education and Professional Affairs. His research spans autonomous systems, software engineering, formal methods, and construction project management. He holds a faculty position in a top-tier engineering program with affiliations to both academic and administrative roles at the university. Research interests include advancing autonomous vehicle decision-making through reinforcement learning and computer vision techniques, improving software development methodologies via formal verification and collaborative platforms, and enhancing project management practices in complex construction environments. His work integrates interdisciplinary approaches combining control theory, machine learning, and social network analysis. Recent publications focus on autonomous driving challenges (action recognition, intersection navigation), software engineering education (game-based learning), and formal methods for system validation. His contributions bridge theoretical advancements with practical applications in safety-critical systems and industrial workflows. Teaching responsibilities include the ECE351 course on signals and systems. He has led curriculum development efforts and maintains a personal research website at the University of Waterloo's ECE department.

Theresa (Terri) BourkeView profile

Professor

• Initial Teacher Education
• Professional standards in education
• Geography education assessment
• +4 more

Professor Theresa (Terri) Bourke is a distinguished academic at Queensland University of Technology (QUT), currently serving as interim Head of School in the School of Education within the Faculty of Creative Industries, Education & Social Justice. She has held significant coordination roles including Undergraduate Research Pathways Coordinator, Course Coordinator for the Bachelor of Education, Academic Program Director for Pre-service Programs, and Academic Lead Research. Her leadership extends to her presidency of the Australian Teacher Education Association (ATEA). Professor Bourke's educational background includes a Doctor of Philosophy from Queensland University of Technology and a BSc and PGCE from the University of London. Her research expertise spans three primary domains: professionalism and quality in Initial Teacher Education (ITE), assessment in geography education, and teacher educators' epistemic reflexivities for teaching about diversity. Her work consistently addresses critical challenges in teacher preparation and inclusive education practices. Her recent scholarship reveals a strong focus on teacher shortages, career change teachers, and inclusive education practices across diverse contexts including Central Queensland and Papua New Guinea. The publication pattern shows increasing engagement with social justice perspectives in teacher education, with numerous collaborative projects examining hard-to-staff schools and diversity in educational settings. Her work demonstrates methodological diversity, employing systematic reviews, social lab methodology, and policy analysis approaches. Professor Bourke has received significant research funding including an Australian Research Council (ARC) Discovery grant and participation in ARC Linkage projects addressing teacher shortages and career change teachers. Her leadership in the Australian Teacher Education Association underscores her national influence in shaping teacher education policy and practice. As an academic supervisor, she has guided doctoral research including the 2015 study 'Professional Learning from the Inside - Teachers as Agents of School Improvement: A Principal's Case Study.' Her current projects on Inclusive Education in Central Queensland and Leadership in STEM in PNG reflect her commitment to practical, impactful educational research that addresses real-world challenges in diverse educational contexts.

• Mathematics Education
• Teacher Education
• Interdisciplinary Learning
• +3 more

Stein Arnold Berggren is a Senior Lecturer at Østfold University College, affiliated with the Department of Natural Sciences, Practical-Aesthetic, Social and Religious Studies (RES) within the Faculty of Education. He holds a Master of Science in Applied Mathematics and Practical Pedagogical Education (PPU). His academic career includes roles as Assistant Professor since 2013 and extensive high school teaching experience. Berggren specializes in mathematics education, particularly in primary and continuing education. He is a key contributor to the Scottish Storyline Approach in teacher training, emphasizing interdisciplinary learning and narrative-based pedagogy. His research explores topics like sustainability integration in mathematics, collaborative learning through escape rooms, and transitioning algebraic concepts between educational levels. Education: Cand. Scient in Applied Mathematics, PPU certification. Research focuses on early mathematical literacy, teacher education innovation, and curriculum transitions. Notably, he co-authored works on recycling as a pedagogical tool and digital inclusive practices in education. His publications span journals like Applications of Mathematics and Composites Part B: Engineering , with recent emphasis on educational methodologies. Berggren collaborates widely, appearing in over 30 peer-reviewed articles and books since 2001, including contributions to sustainability-focused curricula and narrative-driven teaching strategies.

Mehul BhattView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Human-Computer Interaction
• +7 more

Mehul Bhatt is a Professor of Computer Science at Örebro University, Sweden, and a Visiting Professor at the Center for Cognitive Neuroscience (FU Berlin). His research focuses on the cognitive and computational foundations of human-centred AI technologies, including spatial cognition, visual perception, and computational cognitive modelling. He holds a PhD in Computer Science from La Trobe University (Australia) and previously served as a Professor at the University of Bremen (Germany). Key research areas include artificial intelligence, cognitive science, and human-computer interaction, with applications in autonomous systems, architecture design, and media technologies. His work integrates formal methods, reasoning, and learning to address challenges in spatial reasoning, multimodal interaction, and human-centred design. He has received awards such as the Alexander von Humboldt Fellowship and DAAD Award. His research has been featured in outlets like The Economist and DW-TV International. He serves as an Area Chair for AI conferences like IJCAI and has led projects funded by the Swedish Foundation for Strategic Research (SSF). Past roles include leadership of an AI laboratory at the University of Bremen, focusing on human cognitive abilities and sensory interpretation. He contributes to initiatives like the Center for Applied Autonomous Sensor Systems (AASS) at Örebro University, advancing interdisciplinary research in AI and cognition.

Kaushik SinhaView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Optimization
• +5 more

Kaushik Sinha is an Associate Professor at the School of Computing, Wichita State University, part of the College of Engineering. His research focuses on machine learning, optimization, algorithms, and their applications in health informatics. He holds a PhD in Computer Science from Ohio State University and completed a postdoctoral fellowship at UC San Diego under Sanjoy Dasgupta and Kamalika Chaudhuri. His professional activities include serving as an Associate Editor for Neurocomputing (2015–2017) and Technical Program Committee member for conferences like KDD, ICML, and AAAI. He is an affiliated researcher at the Institute for Foundations of Machine Learning (IFML). Dr. Sinha actively mentors PhD students in theoretical and applied machine learning. He currently offers two PhD positions for Fall 2025 focusing on algorithm analysis and applied machine learning, requiring strong mathematical or programming backgrounds. His work emphasizes both foundational research and practical applications, including federated learning, nearest neighbor search, and health data analysis.

Xiuwen WuView profile

Associate Professor

• Visual Literacy
• Co-teaching
• Universal Design for Learning
• +3 more

Dr. Xiuwen Wu is an Associate Professor in the Special Education department at the National College of Education, National Louis University, where she also coordinates the B.A. Special Education program. She joined the university in 2003 and teaches courses at undergraduate and graduate levels, including Introduction to Special Education , Literacy in Inclusive Education , and Assistive Technology . She holds a Ph.D. in Special Education from Michigan State University (2003), an M.A. in Applied Linguistics from Beijing Foreign Studies University (1996), and a B.A. in English from Harbin Institute of Technology (1993). Her teaching background includes EFL instruction in China and lectureship at her alma mater. Dr. Wu's research explores innovative instructional frameworks for diverse learners, with emphasis on: Visual literacy and primary sources in special education Co-teaching models and Universal Design for Learning (UDL) Mathematics education using game-based approaches like the Go game Practice-based teacher education and assistive technology integration Her publications demonstrate strong focus on mathematics pedagogy through game-based learning, high-leverage teaching practices in special education, and technology-enhanced feedback mechanisms. Recent works analyze the efficacy of traditional games in elementary math curricula and core practices in teacher preparation programs.

Nicole PanorkouView profile

Professor

• Mathematics Education
• STEM Education
• Integrated STEM Reasoning
• +4 more

Dr. Nicole Panorkou is a Professor of Mathematics Education at Montclair State University’s College of Science and Mathematics. She holds a BSc in Education Sciences (University of Cyprus), MSc in Mathematics Education (University of Warwick), and PhD in Mathematics Education (University College London). Her research focuses on students’ mathematical reasoning, integrated STEM education, and technology-enhanced learning environments. She has led NSF-funded projects like DYME-A (Dynamic Measurement for Area) and ACMES (Computational Thinking in Earth Science), emphasizing equitable access to mathematical concepts through dynamic models. Her educational background includes teaching elementary school and postdoctoral research via a Fulbright Fellowship at North Carolina State University. She contributed to the TurnOnCCMath.net resource, mapping Common Core Standards into learning trajectories. Her work explores dynamic measurement reasoning (DYME) for area and volume, fostering conceptual understanding through interactive simulations. Recent research highlights include students’ systems thinking in Earth science simulations (e.g., water cycle, rock cycle) and transdisciplinary learning through debugging practices. Awards include the NAEd/Spencer Postdoctoral Fellowship and multiple NSF grants. She serves on boards for NJAMTE and AMTNJ, advocating for mathematics teacher education. Grants and collaborations span environmental science, STEM integration, and learning trajectories. Her lab focuses on designing exploratory tools like interactive simulations to bridge abstract mathematical concepts with real-world contexts, supporting K-8 education equity and cognitive development.