Find Academic Supervisors

• Augmented Reality (AR)
• Mixed Reality (MR)
• Medical Visualization
• +3 more

Jo Zucco is a Program Director at the University of South Australia's UniSA STEM faculty, affiliated with the School of Information Technology and Mathematical Sciences and the Australian Research Centre for Interactive and Virtual Environments. Their research focuses on augmented reality (AR), mixed reality (MR), and wearable computing technologies, with applications in medical visualization, educational tools, and haptic interaction. Zucco has contributed to over 15 peer-reviewed publications since 1998, including works on X-ray vision in immersive environments, haptic training devices like the Smart Pipette, and collaborative spatial data analysis. Key research interests include improving user experience in AR/MR systems, developing medical visualization techniques for diagnostic support, and enhancing educational technologies for STEM fields. They have collaborated with defense organizations and health sciences departments, receiving grants from the Australian Government and the Defence Science and Technology Group. Zucco's work emphasizes practical applications of cutting-edge technologies in real-world scenarios, such as command and control decision-making, laboratory simulations, and student orientation programs. As a Research Degree Supervisor, Zucco guides students in interdisciplinary projects combining computer science, engineering, and health informatics. Their contributions to the Wearable Computer Laboratory and the Industrial AI Research Centre highlight a commitment to advancing interactive technologies for societal benefit.

Andrea HarperView profile

Senior Lecturer

• Plant Genetics
• Agricultural Sustainability
• Stress Tolerance in Plants
• +4 more

Dr. Andrea Harper is a Senior Lecturer in Plant Biology and Director of Postgraduate Research at the University of York's Centre for Novel Agricultural Products (CNAP). Her work focuses on understanding genetic mechanisms that enhance plant resilience to environmental stresses, particularly in crops like wheat and ash trees. She leads the Harper Lab, which investigates plant responses to abiotic stress (e.g., drought, heat) and biotic threats (e.g., bacterial wilt, ash dieback). Her research combines genomic and transcriptomic approaches with field and lab experiments. Key projects include developing climate-resilient wheat varieties, biocontrol strategies against Ralstonia solanacearum , and identifying genetic markers for ash tree tolerance to dieback disease. She actively collaborates with international teams and has secured grants from the BBSRC and other funding bodies. Research Themes: Plant stress biology, crop improvement, genomic analysis, disease resistance. Key Projects: Wheat sustainability, ash dieback resilience, phage-based biocontrol. Grants & Collaborations: BBSRC-funded projects on Ralstonia control and nitrogen-fixing endophytes in vertical farming. Dr. Harper teaches plant genetics and breeding, emphasizing cutting-edge techniques like omics data analysis. She supervises interdisciplinary student projects integrating molecular biology, bioinformatics, and fieldwork. Her lab’s datasets, including genomic comparisons of ash tree tolerance, are publicly available through platforms like NCBI and GEO.

Bowen XuView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Program Analysis
• +12 more

Bowen Xu is an Assistant Professor in the Department of Computer Science at North Carolina State University (NC State), College of Engineering. His research focuses on software engineering, machine learning, and program analysis, particularly in securing AI models and improving code quality. He holds a PhD from Singapore Management University (SMU), where he also conducted postdoctoral research. Education: PhD in Computer Science, Singapore Management University (SMU) Postdoctoral Researcher, SMU School of Computing and Information Systems Research Interests: AI for Code, Backdoor Attacks on Code Models, Vulnerability Detection Code Representation Learning, Model Compression, Safety of AI Systems Chatbot Development for Developers, Automatic Code Review Key Contributions: Developed PTM4Tag+, a Stack Overflow tag recommendation system using pre-trained models Explored stealthy backdoor attacks in code and reinforcement learning systems Pioneered work on automatic vulnerability repair using LLMs and broader input analysis Awards: 2022: Honorable Mention Award (ACSAC) 2018: Highly Commended Full Paper Award (ESEM) Service Roles: Editorial Board Member, Empirical Software Engineering Journal Program Committee Co-chair for ICSE/FSE Research Tracks Organized workshops like FORGE, MaLTeSQuE, and SEA4DQ Labs & Teams: Leads the Softmax Lab at NC State, advising 12+ students across PhD, Master's, and undergraduate levels. Alumni include industry professionals at Microsoft, Barclays, and Marvell Semiconductor.

• Computational Semantics
• Natural Language Processing
• Formal Semantics
• +3 more

Johan Bos is a Professor of Computational Semantics at the University of Groningen. His research focuses on formal semantics, natural language processing, and semantic parsing, with contributions to tools like Boxer and the C&C parser. He leads the Groningen Meaning Bank project, creating multilingual semantic annotations. His work bridges computational linguistics and AI, emphasizing structured meaning representations. Key contributions include foundational textbooks such as Representation and Inference for Natural Language and Learn Prolog Now! . His research spans semantic analysis, discourse representation theory, and cross-lingual meaning parsing. Collaborations include projects on annotated corpora and neural semantic parsing advancements. Publications address challenges in semantic parsing, discourse structures, and interdisciplinary applications like tombstone inscription analysis. He actively contributes to computational semantics conferences and workshops, driving semantic tagging and interlingual meaning representation initiatives.

Stefania SpinaView profile

Professor

• Corpus Linguistics
• Linguistics
• Glottology
• +12 more

Stefania Spina is a Full Professor of Glottology and Linguistics at the University of Perugia for Foreigners, affiliated with the Department of Italian Language, Literature, and Arts in the World (LILAIM). She has held this position since August 1, 2020, and is actively engaged in research, teaching, and academic leadership. Her work focuses on corpus-based linguistic analysis, particularly in the context of Italian as a second language. Her research interests include corpus linguistics, second language acquisition, learner corpus development, phraseology, discourse analysis of media and academic texts, text complexity assessment, and computational processing of linguistic data. She has created several influential linguistic resources, such as the Perugia Corpus, Corpus of Spoken Italian (CIP), and learner corpora including LOCCLI, COLI, and CELI. She also developed MALT-IT2, a web tool for automated text difficulty classification aligned with CEFR levels. Her recent publications reflect a strong engagement with contemporary language trends, digital humanities, and media discourse. Topics include the lexical impact of AI, metaphor in political journalism, and the evolution of public language. A central theme across her work is the application of corpus methods to understand how language functions in educational, media, and technological contexts. She is the principal investigator of the PRIN 2022 project DICI-A, which aims to build a digital collocation dictionary for Italian L2 learners, in collaboration with computer scientists. Her teaching portfolio includes courses in sociolinguistics of new media, corpus linguistics, and digital humanities. She maintains an active public intellectual presence through her blog (now hosted on Substack) and social media. Email: stefania.spina@unistrapg.it Twitter: @sspina She supervises academic projects and leads research teams but no individual students are named in the provided texts. There are no mentions of scientific awards or grants beyond the PRIN project. She works in digital environments, utilizing tools like Python and AI for linguistic analysis, and contributes to the development of language technologies for education and research.

J. Stephen DownieView profile

Professor

• Information Retrieval
• Digital Libraries
• Digital Humanities
• +4 more

J. Stephen Downie is a Professor and Interim Executive Associate Dean at the School of Information Sciences, University of Illinois. He also serves as the Associate Dean for Research and Co-Director of the HathiTrust Research Center. His academic roles include leadership in digital libraries, digital humanities, and music information retrieval (MIREX). He holds a PhD in Library and Information Science from the University of Western Ontario. Research interests focus on information retrieval systems, multimedia MIR, political economy of communication networks, and database/web technologies. He co-founded ISMIR and directs the annual MIREX evaluation initiative. His work bridges computational analysis, cultural heritage preservation, and digital tool development. Recent scholarly output includes studies on plant systematics (Apiaceae family) and cultural heritage technologies. His projects involve collaborative research on digital libraries, data capsules, and federated repository systems. Notable organizational roles include leadership in HathiTrust and academic service in the National Center for Supercomputing Applications. Teaching responsibilities include doctoral seminars and independent studies. Active projects span computational text mining, structural analysis of music information, and accessibility initiatives for academic content.

• Protein Structure and Function
• Mass Spectrometry
• Biochemical Methods Development
• +3 more

Professor Peter Højrup is affiliated with the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, focusing on protein structure and function through advanced biochemical techniques such as mass spectrometry and chemical cross-linking. His research spans biomedical mass spectrometry, systems biology, and proteomics, with a particular emphasis on endoplasmic reticulum proteins like calreticulin and calnexin. Education: PhD in Molecular Biology (1986, Odense University), MSc in Molecular Biology (major) and Chemistry (minor) (1982, University of Aarhus) His research interests include: Developing methods for determining protein 3D structures and interactions via chemical cross-linking and mass spectrometry. Fast glycosylation analysis of immunoglobulins and cancer markers. De novo proteomics of fish mucus proteins. The articles highlight trends in mass spectrometry applications, structural biology, and glycosylation studies, with recent work on SARS-CoV-2 epitope mapping, therapeutic antibody characterization, and host cell protein quantitation. Supervision includes training postdocs, PhD, MSc, and BSc students, though specific student names are not provided.

Aviv BergmanView profile

Professor

• Evolutionary Biology
• Developmental Biology
• Computational Biology
• +5 more

Aviv Bergman is a Professor at Albert Einstein College of Medicine, holding appointments in the Department of Systems & Computational Biology, Department of Pathology, and Dominick P. Purpura Department of Neuroscience. He is also Founding Chairman of the Department of Systems & Computational Biology and Director of the Albert Einstein Institute for Advanced Study in the Life Sciences. His research integrates computational, mathematical, and experimental approaches with philosophical frameworks (phenomenology, hermeneutics, pragmatism) to study evolutionary and developmental systems biology, focusing on complex traits, biological networks, and the interplay between function, organization, and agency in living systems. Prior publications highlight his work on evolutionary capacitance, gene network topology, developmental canalization, and genome-wide amino acid patterns. He emphasizes iterative refinement of theoretical models through empirical data validation.

Catherine BachewichView profile

Adjunct Associate Professor

• Cell Cycle Regulation
• Fungal Pathogenesis
• Developmental Biology
• +4 more

Catherine Bachewich is an Adjunct Associate Professor in the Department of Biology at Concordia University. Her research focuses on the regulation of the cell cycle, development, and virulence in fungi, particularly Candida albicans and Aspergillus nidulans. She investigates how cell cycle signals coordinate with differentiation and polar morphogenesis, aiming to identify novel drug targets for pathogen control. Her research programs include: Studying cell cycle control in Candida albicans, emphasizing the G1/S transition, mitosis, and hyphal development. Exploring the role of the polo-like kinase PLKA in mitotic regulation and sexual development in Aspergillus nidulans, revealing its evolutionary distinctness and novel functions. Bachewich's work has uncovered unique regulatory mechanisms in fungal pathogens, contributing to understanding their pathogenicity and potential therapeutic strategies. Her recent publications highlight interdisciplinary approaches in fungal genetics, cell cycle signaling, and morphogenesis.

Jörn WalterView profile

Professor

• Epigenetics
• Genetics
• Epigenomics
• +5 more

Prof. Dr. Jörn Walter serves as a Senior Professor for Genetics and Epigenetics at Saarland University's Faculty of Natural Sciences and Technology. His laboratory investigates epigenetic mechanisms across development and disease states, with particular emphasis on DNA methylation, chromatin dynamics, and epigenomic mapping of cell types. Member of the International Human Epigenome Consortium (IHEC) Coordinator of the German Epigenome Program Director of an in-house Sequencing Facility (HiSeq2500, Mi-Seq, Nextseq-500) Research focuses include: Epigenetic programming during cellular differentiation DNA methylation dynamics in disease contexts Stem cell epigenetics and reprogramming Evolution of epigenetic mechanisms Recent publications highlight interdisciplinary approaches combining next-generation sequencing , bioinformatic modeling , and clinical epigenetics , with particular attention to immune cell development , metabolic disease epigenetics , and computational epigenomics . The group maintains collaborations with the West German Sequencing Center and contributes to epigenetic data standardization efforts. Lab members include active researchers like Dr. Nina Gasparoni , Dr. Gilles Gasparoni , and M.Sc. Alea Leismann , alongside an extensive alumni network of former advisees who have advanced epigenetic research in various institutions.

Ying XieView profile

Associate Professor

• Emerging Technologies in Education
• Reflective Learning
• Knowledge Integration
• +9 more

Ying Xie is an Associate Professor in the Department of Educational Technology, Research and Assessment at Northern Illinois University, College of Education. Her work bridges technology and pedagogy, with a focus on enhancing reflective learning, knowledge integration, and group cognition through innovative digital tools. Educational Background: Ph.D. in Instructional Systems, The Pennsylvania State University, with a minor in Educational Psychology B.S. in Computer Science and B.A. in Foreign Languages, University of Science and Technology of China Her research spans emerging technologies in education , including robotics in K–12 STEM learning, technology-assisted language acquisition, and mathematical problem posing. She explores how tools like word clouds, blogs, and mobile VR can scaffold reflective thinking and collaborative knowledge building. Her work is grounded in both cognitive and social learning theories. Analysis of her recent publications reveals a consistent focus on technology-enhanced learning environments , particularly using visual and interactive tools (e.g., tag clouds, blogs, VR) to support metacognition and collaboration. Her studies often employ mixed methods and design-based research, targeting diverse populations from K–12 to higher education. A growing interest in emergency remote learning and teacher self-efficacy is evident in her 2021 publications. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Xie actively advises graduate and doctoral students, as seen through her teaching of ETT 799 (Doctoral Research and Dissertation). She has contributed to curriculum development in instructional technology and research methodology. Her service includes participation in academic seminars and research guidance. She leads or contributes to research projects examining digital learning tools and their impact on cognition and engagement. Her lab or research team likely focuses on user experience in educational technology, possibly linked to the UX Lab mentioned in the departmental resources.

Marko TkalčičView profile

Professor

• Recommender Systems
• Computational Psychology
• User Modeling
• +7 more

Marko Tkalčič is a Full Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He is affiliated with the Department of Information Sciences and Technologies and leads research in psychologically-informed recommender systems through the HICUP lab. His academic journey includes prior roles as Associate Professor and Assistant Professor at the Free University of Bozen-Bolzano, and postdoctoral work at Johannes Kepler University and the University of Ljubljana. Research interests include computational psychology, user modeling, personality and emotion modeling, affective computing, and bias mitigation in AI. His work integrates machine learning, data mining, and user studies to enhance personalization systems by incorporating cognitive and emotional models. He focuses on music and film domains, with applications in social media, automotive interfaces, and multimedia. The recent publications demonstrate a strong trend toward human-centric AI , exploring eudaimonic and hedonic user experiences, cognitive load in driver assistance, music relistening behavior, privacy in group recommendations, and emotion-based video and music prediction. His research increasingly blends cognitive science theories (e.g., ACT-R) with practical recommender system design. University of Primorska Golden Plaque Award (2024) Stanford List of Top Scientists Cited Worldwide Best Reviewer Award at ISMIR 2020 Italian National Habilitation for Full Professor (2020) Italian National Habilitation for Associate Professor (2017) He actively supervises PhD students, including Elham Motamedi, and has secured teaching and research roles within his team. He is a member of the editorial board for UMUAI and Frontiers in Psychology, and has co-edited books and special issues on group recommender systems and human-centered AI. He leads the HICUP lab, fostering interdisciplinary research at the intersection of psychology and computer science.

Elizabeth YaleView profile

Associate Professor

• History of Science
• Early Modern European History
• Book History
• +7 more

Elizabeth Yale is an Associate Professor in the Department of History at the University of Iowa, College of Liberal Arts and Sciences, where she also serves as Director of Undergraduate Studies. Her research lies at the intersection of the history of science, book history, and early modern European intellectual culture, with a focus on how knowledge was created and preserved in domestic and archival contexts. Her educational background includes a PhD in the History of Science from Harvard University (2008). She previously taught at Western Carolina University and Harvard before joining the University of Iowa. Dr. Yale's research explores the material and social practices of knowledge-making, particularly in early modern Britain. She emphasizes the role of families, manuscript culture, and archival infrastructures in the development of scientific thought. Her work spans themes such as gender, materiality, and the transmission of medical and natural knowledge. She teaches courses on early modern Europe, the history of science and medicine, book history, and gender, often incorporating hands-on analysis of texts through the University of Iowa Center for the Book. Her recent publications reveal a consistent interest in the material forms of knowledge—letters, lists, marginalia, and archives—and their role in shaping scientific epistemology. She frequently examines how women’s intellectual labor and domestic spaces contributed to scientific advancement. Her collaborative projects, including an NEH-funded initiative with Matthew Brown, aim to build innovative educational spaces for studying global print and manuscript cultures. Visiting Scholar, Max Planck Institute for the History of Science, Berlin (2016) President, Andrew W. Mellon Society of Fellows in Critical Bibliography (2021–2022) Senior Fellow, Andrew W. Mellon Society of Fellows in Critical Bibliography Dr. Yale has been active in mentoring and curriculum development, particularly through experiential learning programs like the Hawkeye History Corps. She has secured external funding, including an NEH Humanities Initiatives Grant, to support interdisciplinary teaching and research. Her advising likely extends to undergraduate and graduate students interested in history of science, gender studies, and material text analysis, though specific students are not listed. She is also engaged with public history, contributing accessible commentary to outlets like The Atlantic , Quartz , and Iowa Public Radio , bridging academic research with broader societal conversations on science, gender, and race. She is involved in collaborative scholarly communities, especially through the Rare Book School and the University of Iowa Center for the Book, where she contributes to projects that integrate book history with scientific and archival studies. These affiliations support a vibrant research and teaching environment centered on material knowledge practices.

Marlene BarrosView profile

Professor

• Protein Chemistry
• Molecular Mechanisms of Disease
• Biomarker Discovery
• +7 more

Marlene Barros is a Full Professor at the Faculty of Dental Medicine (FMD), Portuguese Catholic University (UCP), where she also serves as Director since 2020. She is the Director of the Center for Interdisciplinary Research in Health (CIIS), recognized as 'Very Good' by FCT, and leads the SalivaTec laboratory focused on saliva-based diagnostics. She has a strong academic background in biochemistry and biology, with leadership roles in education and research. Her educational qualifications include: PhD in Biochemistry (specialty: Enzymology and Protein Chemistry), University of Coimbra (1995) Agregação in Biology, University of Aveiro (2007) Marlene Barros' research is centered on protein chemistry and molecular mechanisms of disease, with a focus on identifying biomarkers for diagnosis and therapeutic targeting. Her work spans proteomics, bioinformatics, oral biology, and microbiome analysis. She has coordinated academic programs such as the Master in Molecular Microbiology and the Degree in Biomedical Sciences. Her recent research articles reflect a strong trend in salivary proteomics, oral microbiome interactions, human-viral interactomics, and the development of bioinformatics databases (e.g., OralOme, OvisOme, CanisOme). These works emphasize translational applications in precision medicine, diagnostics, and functional food science. She has received the following scientific award: Prémio Melhor Poster SciComPT 2019 She has supervised numerous academic projects and is actively involved in national and international research collaborations. She has led or participated in significant funded projects such as SPRINT, OralTherm, RedSup4Health, and OeHMP, supported by Portugal2020 and Fundación 'la Caixa'. Her work contributes to UN Sustainable Development Goals, particularly in health and education. She is a key member of the SalivaTec laboratory and contributes to interdisciplinary teams in projects involving digital health, oral microbiome, and functional foods. Her leadership extends to pedagogical innovation and community-based learning in dental education.

Hao-Chuan WangView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Human-Centered AI
• +13 more

Hao-Chuan Wang is an Associate Professor in the Department of Computer Science at the University of California, Davis, with affiliations in the Electrical and Computer Engineering Graduate Program. He previously served as a faculty member at National Tsing Hua University, Taiwan, from 2012 to 2018, where he was promoted to tenured Associate Professor. He holds a Ph.D. in Information Science from Cornell University and has conducted postgraduate research at Carnegie Mellon University and Academia Sinica. His research lies at the intersection of Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and Human-Centered AI, with a strong emphasis on collaborative systems, hybrid and remote work, video-mediated communication, and inclusive design for education and wellbeing. He employs mixed-method, human-centered approaches to design systems that support knowledge transfer, equity, and social interaction in distributed environments. His recent publications focus on AI-supported learning, fairness in group work, reflective tools, and cross-cultural interactions with large language models. These works are published in top-tier venues such as CHI, CSCW, CUI, and WWW, reflecting his impact in the HCI community. His scientific contributions have been recognized with several awards, including Best Student Paper at The Web Conference 2021, Best Demo Award at Augmented Humans 2021, Distinguished Paper Award at PACM IMWUT 2018, and multiple Honorable Mention awards at CHI and CSCW. Best Student Paper Award, The Web Conference (WWW) 2021 Best Demo Award, Augmented Humans International Conference 2021 PACM IMWUT Distinguished Paper Award, Ubicomp 2018 Honorable Mention Paper Award, CHI 2015 Honorable Mention Paper Award, CHI 2018 Honorable Mention Paper Award, CSCW 2018 Best Poster Award, ITS 2006 Wang actively contributes to the academic community through leadership roles in ACM SIGCHI, including serving as VP Finance (2024–2027), Workshop Chair for CHI 2025–2026, and Associate Editor for the Journal of Information Science and Engineering. He has advised numerous students whose research appears in major conferences, and his work bridges computer science, communication, design, and learning sciences, reflecting a deeply interdisciplinary and impactful scholarly profile.