Find Academic Supervisors

Giovanna CastellanoView profile

Associate Professor

• Computational Intelligence
• Computer Vision
• Deep Learning
• +7 more

Giovanna Castellano is a Full Professor at the University of Bari Aldo Moro, Italy, where she serves in the Department of Computer Science. She coordinates the Computational Intelligence Laboratory (CILab) and has been active in academia since at least May 2015. Her extensive publication record with 354 publications demonstrates her significant contributions to the fields of Computational Intelligence, Computer Vision, and Explainable AI. Dr. Castellano earned her PhD in Computer Science from the University of Bari Aldo Moro between September 1988 and March 1993. Her academic journey has led her to become a prominent researcher in artificial intelligence applications across various domains including healthcare, education, and digital art analysis. Her research interests span a wide range of computational intelligence topics, with current focus on Computer Vision, Deep Learning, Explainable AI (XAI), and Fuzzy Systems. Dr. Castellano's work demonstrates a strong interdisciplinary approach, applying AI techniques to solve real-world problems in healthcare diagnostics, precision agriculture, educational analytics, and cultural heritage preservation. Her research consistently emphasizes model interpretability, recognizing the importance of transparent AI systems, particularly in critical domains like healthcare where trust in AI decisions is paramount. Analysis of her recent publications reveals a consistent trajectory toward more interpretable and explainable AI systems across multiple application domains. Her work spans medical imaging analysis, stress prediction in educational contexts, art analysis, and precision agriculture. A notable trend is the integration of large language models with computer vision techniques to enhance both performance and explainability of AI systems, particularly in medical and artistic contexts. Excellent Presentation Award at 1st International Conference on Soft Computing and Intelligent Systems 2002 Dr. Castellano leads the Computational Intelligence Laboratory (CILab) at the University of Bari, where she supervises research projects and collaborates with numerous researchers including Gabriella Casalino, Gennaro Vessio, and Gianluca Zaza. Her research group has secured various grants for projects in healthcare AI, educational data mining, and digital art analysis. The CILab research team works on diverse projects including medical diagnostics using AI, analysis of digital art collections, educational data mining, and precision agriculture applications. Their work often involves collaboration with healthcare institutions, cultural organizations, and agricultural technology companies, demonstrating the practical impact of their theoretical research.

John Frederick BailynView profile

Professor

• Theoretical Linguistics
• Generative Syntax
• Slavic Linguistics
• +7 more

John Frederick Bailyn is a Professor of Linguistics at Stony Brook University, specializing in theoretical linguistics, cognitive science, and Slavic languages. He holds a Ph.D. from Cornell University (1995) and serves as co-Director of the NY-St. Petersburg Institute of Linguistics, Cognition and Culture (founded 2003). His research focuses on generative syntax (case, word order, movement), Slavic syntax/morphology/phonology, and the intersection of linguistics with cognitive modularity and musical perception. Notable contributions include *The Syntax of Russian* (Cambridge UP, 2012), which won the 2013 AATSEEL Prize, and co-editing volumes in the *Formal Approaches to Slavic Linguistics* series. He has published extensively on Slavic syntax, scrambling phenomena, and cross-linguistic variation, contributing to debates in Minimalist Theory and formal syntax. Education: Ph.D. in Linguistics, Cornell University, 1995 Labs/Teams: Co-Director, NY-St. Petersburg Institute of Linguistics, Cognition and Culture Awards highlight his impact: his work bridges formal syntax and sociopolitical issues, such as language unity debates in post-socialist contexts. His research spans theoretical frameworks while addressing practical questions in Slavic language structure and historical change.

Janneke van der LooView profile

Assistant Professor

• Academic Writing
• AI Impact on Education
• Writing Processes
• +3 more

Janneke van der Loo is an Assistant Professor at the Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences at Tilburg University. Her research focuses on academic writing processes, the impact of generative AI (GenAI) on education, and pedagogical frameworks integrating technology. She teaches courses like 'Academic Dutch CIW' and 'Knowing Language,' emphasizing writing methods and second language acquisition. Her work explores how AI tools like ChatGPT and GPT-4 can transform writing education while addressing ethical and practical challenges. Recent projects include co-designing VR pedagogical frameworks with teachers and analyzing writing processes through digital platforms. She collaborates with institutions on AI integration and hosts workshops on responsible AI use in education. Van der Loo has contributed to publications on AI-driven writing tools, teacher collaboration in tech integration, and Dutch language pedagogy. Her research bridges educational theory with practical applications in both secondary and higher education settings.

Ali AyubView profile

Assistant Professor

• Artificial Intelligence
• Interactive Machine Learning
• Continual Learning
• +3 more

Dr. Ali Ayub is an Assistant Professor at the Concordia Institute for Information Systems Engineering (Concordia University). His research focuses on advancing human-robot interaction through continual learning and interactive machine learning, particularly in domains like healthcare, household assistance, and collaborative robotics. He investigates how robots can adapt to user preferences over time and learn from limited human input in dynamic environments. Research Interests His core interests span Artificial Intelligence , Interactive Machine Learning , and Continual Learning , with applications to Human-Robot Interaction , Robotics , and Computer Vision . He explores topics such as: Long-term personalization of robots through user feedback Adaptive learning architectures for home service and assistive robots Cognitive models for incremental learning in robotics Human teaching patterns and trust dynamics in HRI Key Research Trends His recent work emphasizes few-shot learning for robots to acquire new tasks with minimal demonstrations and continual learning frameworks that avoid catastrophic forgetting. He also studies how robots can interactively gather data through curiosity-driven exploration and adapt to human preferences in collaborative tasks. His projects often bridge theory (e.g., Markov decision processes for deceptive robotics) with practical applications like grocery reminder robots and episodic memory systems for companion robots. Grants & Advising No specific grants or advising information is provided in the text, but his prolific publication record suggests sustained research activity in these areas.

• Indigenizing Mathematics Education
• Place-Based Education
• Narrative Inquiry
• +5 more

Stavros Stavrou is a Lecturer in the Department of Educational Foundations at the University of Saskatchewan. His research focuses on Indigenizing mathematics education through narrative inquiry, place-based education, and the intersection of Euro-Western and Indigenous perspectives. Key themes include anti-racist pedagogy, decolonizing curricula, and spiritual dimensions in learning. He explores Cree epistemologies and methodologies, emphasizing cultural revitalization and holistic educational practices. His work bridges mathematical theory with sociocultural contexts, addressing challenges in curriculum design and policy. He has published extensively on tensor analysis in algebraic structures, showing interdisciplinary connections between education and pure mathematics. Collaborative research with Indigenous educators highlights community-driven approaches to educational equity. Stavrou’s recent publications (2020–2024) emphasize narrative methodologies to critique and reimagine mathematics education systems. His articles consistently address the imperative of ethical relationality and tribal critical theory in supporting Indigenous students. No scientific awards or grants are explicitly mentioned in the provided text. His research extends across institutional and community partnerships, though specific teams or labs are not detailed here.

Louis BusbyView profile

Senior Lecturer

• Machine Learning for Audio Generation
• Social Robotics
• Musical Robotics
• +2 more

Louis Busby is Senior Lecturer and Course Leader for the MSc Data Science and AI at UAL's Creative Computing Institute. His research explores machine learning applications in audio generation and musical robotics. He developed the MIMIC creative ML platform used by 70k+ students and secured multiple Google grants for AI projects. His curriculum development focuses on NLP, machine learning, and creative computing applications. Previously at Goldsmiths, he researched motion sensor feature engineering for interactive ML systems. Commercial experience includes senior developer roles at AI firms. His robotic drummer Mortimer appeared on BBC's Christmas Lectures. Grants include Alan Turing Institute funding for open-source AI music tools. He continues performing music using neural networks and maintains several open-source libraries.

Xiaowan YiView profile

Academic

• Artificial Intelligence
• Music Technology
• Neural Audio Synthesis
• +3 more

Xiaowan Yi is an Associate Lecturer at the Creative Computing Institute , University of the Arts London (UAL), and a UKRI-funded PhD researcher in Artificial Intelligence and Music at Queen Mary University of London. She holds an MSc in Data Science and Machine Learning from University College London (2018–2019). Her research focuses on neural audio synthesis, music informatics, and generative models, blending computational methods with artistic practice. Education: MSc Data Science and Machine Learning, University College London (2018–2019) Languages: Fluent in English and Mandarin (reading, writing, speaking, and peer review). Previously, she worked as a Research Engineer at Vision RT Ltd (2019–2021). Her interdisciplinary background spans music performance, digital arts, and AI, with professional affiliations including Camberwell, Chelsea, and Wimbledon Colleges of Arts. She maintains active creative and research profiles via her website ( xiaowan-yi.com ) and Vimeo channel.

Aditya UpadhyayulaView profile

Research Fellow

• Cognitive Science
• Visual Perception
• Computational Neuroscience

Aditya Upadhyayula is a Research Fellow at Washington University in St. Louis, specializing in cognitive science and visual perception. His research explores computational modeling of visual narratives, spatiotemporal perception, and cognitive mechanisms underlying film viewing and change detection. Recent publications demonstrate his interdisciplinary focus on: Temporal and spatial perception in visual cognition Computational frameworks for hierarchical processing Neural and psychological aspects of time perception Medical imaging and artifact reduction techniques His work bridges cognitive psychology, neuroscience, and computer science methodologies.

Rebecca AllenView profile

Research Professor

• Virtual Reality
• Neuroscience
• Artificial Intelligence
• +6 more

Rebecca Allen is a Research Professor at UCLA's Department of Design Media Arts, part of the School of the Arts and Architecture. She is a pioneering artist and researcher in digital media, exploring intersections between art, technology, and neuroscience. Her work spans five decades, blending virtual reality, AI, and interactive systems to interrogate human identity and perception. Education: B.F.A. from Rhode Island School of Design, further studies at MIT. Research interests include virtual reality aesthetics, artificial life systems, and the philosophical implications of digital environments. Notable collaborations include projects with Kraftwerk, MIT Media Lab, and neuroscience labs at UCLA/UCSF. Her work is in permanent collections at institutions like the Whitney Museum and Centre Georges Pompidou. Awards include an Emmy Award and recognition in Fast Company's 'Most Creative People.' Her research roles include founding directorships at Nokia Research Center Hollywood and OLPC's XO Laptop design team. Labs/Initiatives: Emergence research group (UCLA), Intel-funded projects, and collaborations with Counterforce Lab and UCLA Game Lab.

Lavinia HirsuView profile

Senior Lecturer

• Digital Literacies
• Applied Linguistics
• Multilingual Education
• +5 more

Dr. Lavinia Hirsu is a Senior Lecturer in Applied Linguistics, Composition, and English as a Foreign Language at the University of Glasgow's School of Education. She holds a PhD from Indiana University and an MA from Iowa State University. Her research focuses on digital literacies, translingual pedagogy, and sustainability in education, leveraging emerging technologies like VR, robotics, and permaculture design. She leads projects such as the AHRC-funded Sustainable Designs for Living and Learning (SDLL) and collaborates internationally on multilingual education initiatives. Dr. Hirsu teaches courses in TESOL, academic writing, and cultural diversity, emphasizing translanguaging and arts-based practices. Her educational background includes degrees from Indiana University (PhD) and Iowa State University (MA), with prior roles at the University of North Carolina and teaching experience spanning 15+ years. She has supervised numerous PhD students, including Ayesha Abida and Ahmed Abdullah, and actively engages in grants addressing gender equality, urban university engagement, and refugee integration. Key research areas include: translingualism, digital rhetoric, disaster response through cultural mediation, and sustainability in education. Her projects often involve partnerships with institutions like SCILT (Scotland's National Centre for Languages) and the British Council to develop multilingual teaching materials and immersive learning environments. Dr. Hirsu’s contributions extend to edited volumes like Rhetorical Machines: Writing, Code and Computational Ethics and peer-reviewed articles in Applied Linguistics Review and Computers and Composition . She is actively involved in grants focusing on gender mainstreaming, refugee education, and technology integration in outdoor learning settings. Her current supervision includes projects on bilingual learning in Chinese communities, picturebook analysis in Scottish schools, and English for Specific Purposes in Saudi Arabia. She teaches courses like 'Professional Enquiry Descriptions of Language' and 'Which English: Sociolinguistics and Language Teaching,' emphasizing critical reflection and cultural responsiveness.

• Computational Craft
• Digital Media
• Interactive Narrative
• +7 more

Dr. Anne Sullivan is an Assistant Professor in Digital Media at Georgia Tech and the founder of the StoryCraft Lab. She holds a PhD in Computer Science from UC Santa Cruz, focusing on AI frameworks for playable stories and co-creative experiences. Her research bridges computational craft, feminist game analysis, and human-centered AI, emphasizing intersectional perspectives in design. Education: PhD in Computer Science from UC Santa Cruz. She previously worked as a game developer at AAA studios and as an independent designer, bringing industry experience into her academic work. Research interests include computational craft, queer design methodologies, and accessibility in interactive media. Notable projects include Loominary (a loom-controlled digital game) and the Twine screen reader extension. She explores craft as an analog counterpart to digital interaction, advocating for inclusive and socially conscious technology. Teaching: Courses span game design (LMC-4710, LMC-4725), interactive narrative (LMC-6317), and computational expression (LMC-6310). She emphasizes hands-on, project-based learning aligned with her research. Awards & Recognition: Award-winning quilter and recipient of NSF grants for computational craft education. Her work has been exhibited internationally, including at the Smithsonian American Art Museum. Grants: Collaborative Research on computational thinking through quilting communities (NSF-funded). Current projects focus on queer/critical design frameworks and generative AI tools for marginalized communities. Labs/Teams: StoryCraft Lab (fostering interdisciplinary projects in craft, AI, and narrative). She collaborates with artists, educators, and technologists to create socially impactful interactive experiences.

Diana Khoi NguyenView profile

Associate Professor

• Contemporary American poetry
• Asian American literature
• Experimental and hybrid forms
• +3 more

Roles & Affiliations: Associate Professor at the University of Pittsburgh's Department of English, Director of the Pittsburgh Contemporary Writers Series, and Interim Director of the Writing Program. Affiliated with AQUARIUS, Asian Studies Center, CAAPP, and Vietnamese Student Association. Teaches in Randolph College's Low-Residency MFA Program and mentors writers of color through Periplus. Education: BA in English (Creative Writing) and Communication Studies from UCLA, MFA in Poetry from Columbia University, PhD in English and Literary Arts from the University of Denver. Research & Work: Focuses on Vietnamese diasporic narratives, experimental poetry, and intergenerational trauma. Her work bridges poetry and visual art, addressing refugee experiences and familial loss. Multimedia projects include video installations exploring memory and identity, such as reenacting her mother's honeymoon and tracing her father's wartime escape from Saigon. Awards & Recognition: Kate Tufts Discovery Award (2019), Colorado Book Award, NEA Fellowship (2021), and finalist for the National Book Award. Works published in Poetry , American Poetry Review , and PEN America . Teaching Philosophy: Emphasizes confronting taboo subjects through empathetic exploration. Creates spaces for students to engage with difficult themes via risk-taking and play, while ensuring emotional safety. Courses include Poetry Writing, Readings in Contemporary Poetry, and workshops in creative writing.

Jialei JiangView profile

Academic

• Digital Writing
• Multimodal Composition
• Affect Studies
• +6 more

Jialei Jiang is a Teaching Assistant Professor in the Department of English at the University of Pittsburgh, affiliated with the Kenneth P. Dietrich School of Arts & Sciences. Her teaching focuses on digital media, technical writing, and second language writing, emphasizing critical media literacy, cultural diversity, and public rhetorical knowledge. She designs course projects that bridge theoretical concepts with real-world applications for students' future careers. Her research explores digital writing, multimodal composition, and affect studies, particularly addressing intersections of race and affect in pedagogy. Recent work includes antiracist pedagogical frameworks, AI integration in education, and community-engaged projects. She actively publishes in journals like College Composition and Communication and Computers and Composition . Jiang’s scholarship critiques digital platforms’ ethical challenges (e.g., Wikipedia sustainability, LLM impacts) and advocates for translingual and posthumanist approaches in rhetoric. She co-leads initiatives promoting multimodal advocacy and anti-racist practices in technical communication.

Pier Luca LanziView profile

Professor

• Artificial Intelligence
• Machine Learning
• Multiagent Systems
• +7 more

Pier Luca Lanzi is a Full Professor at Politecnico di Milano, affiliated with the Department of Electronics, Information, and Bioengineering (DEIB). He leads the Artificial Intelligence and Robotics Lab (AIRLab), focusing on interdisciplinary research at the intersection of AI, robotics, and human-centric technologies. His work emphasizes applications in gaming, healthcare, and education, leveraging machine learning, evolutionary algorithms, and virtual reality. Education: Not explicitly stated in the provided texts. Affiliations: Director of the AIRLab; core member of DEIB. His research interests span artificial intelligence, multiagent systems, procedural content generation for games, serious games for rehabilitation, and AI-driven medical imaging. He explores how AI can enhance learning experiences (e.g., VR classrooms for physics and history) and improve therapeutic outcomes through interactive frameworks like the IGER system for stroke rehabilitation. Notable contributions include frameworks for automated level design in games (e.g., DOOM level generation via GANs), AI-assisted diagnostic imaging systems, and exergaming solutions for juvenile arthritis patients. His work often bridges computational intelligence with real-world applications, emphasizing human-centered design. Advising & Grants: While no specific grant details are provided, his prolific publication record suggests sustained research activity. Students and collaborators include prominent names in AI and robotics, though formal advisee名单 are not listed here. Labs/Teams: Directs the AIRLab, which develops cutting-edge technologies in AI, robotics, and human-technology interaction. Collaborates with industry and academic partners on projects ranging from VR educational tools to medical exergames.

Simon ColtonView profile

Professor

• Computational Creativity
• Artificial Intelligence
• Game Design
• +4 more

Simon Colton is a Professor of Computational Creativity, Games, and Artificial Intelligence at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. His research focuses on AI-driven creativity in domains like music, game design, and visual arts, emphasizing generative techniques and philosophical aspects of creative systems. He leads projects in automated composition, procedural content generation, and interdisciplinary AI applications. Education: Extensive background in AI and computational creativity, with a focus on generative systems. Research Interests: Computational Creativity, Generative AI, Music Generation, Game Design Automation, and Neuro-Symbolic Systems. His work explores how AI can autonomously create artistic content, including music, games, and visual art, with notable contributions to frameworks like ANGELINA for game design and The Painting Fool for automated art. Recent projects include AI-driven music composition and tools for creative support (e.g., Gamika, Danesh). Key grants include the £3M EPSRC-funded IGGI2 Centre for Doctoral Training, focusing on Intelligent Games and Game Intelligence. His lab, the Centre for Multimodal AI, advances research in cross-modal AI creativity.