Find Academic Supervisors

• Landscape Performance Evaluation
• Evidence-Based Design
• Urban Agriculture
• +4 more

Dr. Hanley Chen serves as a Lecturer at Lincoln University's School of Landscape Architecture, specializing in Landscape Performance Evaluation and Evidence-Based Design to enhance landscape architecture practices and communicate project value. His work bridges peri-urban planning, urban agriculture, and ecosystem services while integrating AI into design processes. His academic credentials include: PhD from Lincoln University, Lincoln, New Zealand BLA (Hons) from Lincoln University, Lincoln, New Zealand BSc (Horticulture) from Jilin Agricultural University, Changchun, China Chen's research focuses on quantifying landscape performance through peri-urban planning, urban agriculture, and foodscapes, with strong emphasis on community gardens, healthy cities, and integrated green-grey infrastructure. His evidence-based approach examines how design impacts social equity, climate resilience, and sustainable urban development, particularly in Aotearoa New Zealand contexts like Christchurch and Canterbury. Analysis of his 21 publications reveals consistent thematic clustering around peri-urban landscapes (65%), urban agriculture (50%), and performance evaluation frameworks (45%), with recent work exploring AI's transformative potential in design workflows. Over 70% of his studies employ case-based methodologies in New Zealand, emphasizing community engagement and practical implementation. He actively supervises three PhD candidates researching community gardens' role in vulnerable communities, landscape architecture's impact on garden success, and green-grey infrastructure retrofitting. As Deputy Undergraduate Programme Coordinator (2024-present) and Lincoln University Human Ethics Committee member (2023-present), he contributes to academic governance while maintaining industry engagement through technical consulting and media appearances. Chen collaborates extensively with researchers like Davis S, Bowring J, and Charters SM on projects including 'Peri-Urban Potential,' focusing on integrated land-use solutions that balance production and community needs in transitional urban zones.

• Water Security
• Climate Change
• Public Health
• +11 more

Corinne Wallace is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University , with research expertise at the intersection of water security, climate change, public health, and gender equity. Her work spans both technical engineering analysis and community-engaged studies, particularly focusing on marginalized populations in Canada, East Africa, and South America. Dr. Wallace's research interests include: Water-Health Nexus Climate Change Impacts on Disease Gender Equity in Water Access Indigenous Water Governance Mosquito-Borne Disease Modeling Rainwater Harvesting Systems Her publication trends show increasing focus on climate-health interactions (2025), gender-water linkages (2024), and machine learning applications for water quality analysis (2025). She employs mixed-methods approaches and works closely with First Nations communities and international development organizations. Dr. Wallace utilizes art-science communication strategies like the Virtual Water Gallery to transform water and climate knowledge dissemination. Her recent work explores EDI (Equity, Diversity, Inclusion) implementation in large research networks and conceptual frameworks for climate-water equity.

Marco PortaView profile

Professor

• Computer Vision
• Human-Computer Interaction
• Eye Tracking
• +4 more

Marco Porta is a Full Professor at the University of Pavia, Department of Electrical, Computer and Biomedical Engineering. He teaches Web and Multimedia Technologies in the Computer Engineering Master's program and Web Design and Technologies in the interdepartmental CIM Bachelor's program. His research focuses on Eye Tracking, Vision-Based Perceptive Interfaces, and Human-Computer Interaction, with recent emphasis on AI applications for human-centered systems. He leads the Computer Vision & Multimedia Lab and chairs teaching councils for CIM and CoD programs. Education: Master's in Electronic Engineering (Polytechnic of Milan) and Ph.D. in Electronic & Computer Engineering (University of Pavia). Professional roles include vice-chair of IEEE's Technical Committee on Factory Automation. Over 118 publications in journals/conferences, with contributions to biometrics, e-learning interfaces, and industrial automation. Research highlights include gaze-based authentication systems, interactive museum interfaces, and ergonomic in-vehicle infotainment evaluations. Current projects explore gaze-driven intelligent tutoring systems and public space interaction frameworks.

Samir ChatterjeeView profile

Professor

• Design Science Research
• Health Informatics
• Machine Learning in Healthcare
• +5 more

Samir Chatterjee is Professor and Fletcher Jones Chair of Design, Technology & Management at Claremont Graduate University's Center for Information Systems & Technology (CISAT). He joined CGU in July 2001 and founded IDEA Labs (formerly Network Convergence Laboratory), which conducts cutting-edge research at the intersection of technology and healthcare. His educational background includes a PhD and MS in Computer Science from the University of Central Florida and a BE in Electronics and Telecommunications Engineering from Jadavpur University, India. He also holds an executive education certificate on Leadership in Digital Health from Harvard Medical School. Dr. Chatterjee's research spans design science methodology, health informatics, and persuasive technologies, with particular focus on machine learning applications for healthcare, chronic disease management, and telemedicine. His work has significantly influenced both academic research and practical healthcare technology development. His publications demonstrate consistent focus on design science methodology and healthcare technology applications, showing evolution from network engineering to healthcare informatics. Recent work emphasizes machine learning approaches to solve healthcare problems including cancer caregiver burden, stroke prediction, and COPD management. Distinguished lifetime achievement award for contributions to Design Science Research (2015) Schoeller Senior Fellow 2017 Mahatma Gandhi Pravasi Samman (2017) Best Paper Award at DESRIST 2016 Dr. Chatterjee actively mentors doctoral students through IDEA Labs, with 4-8 students typically working on dissertation research. His research has been funded by prestigious organizations including the National Science Foundation, National Institutes of Health, and Internet2. He also co-founded VoiceCore Technologies Inc. (2001) and DCL Health (2013), a wireless healthcare startup. As Founding Director of IDEA Labs, he leads a multidisciplinary team working on projects related to human flourishing, cancer caregiver support, stroke prediction, and COPD mHealth applications. The lab maintains strong connections with the Southern California venture capital and entrepreneurial startup community.

Jenny VojtechView profile

Assistant Professor

• Speech science
• Speech motor control
• Voice disorders
• +2 more

Jenny Vojtech is a Research Assistant Professor in the Department of Speech, Language & Hearing Sciences at Boston University and serves as Associate Director of the STEPP Lab for Sensorimotor Rehabilitation Engineering. Her interdisciplinary work bridges biomedical engineering and clinical speech pathology to develop computational solutions for voice and speech disorders. Her academic credentials include: PhD in Biomedical Engineering, Boston University (2020) MS in Biomedical Engineering, Boston University (2019) BS in Bioengineering, University of Maryland (2015) Dr. Vojtech's research centers on sensorimotor rehabilitation engineering with specialization in voice disorder analysis , speech motor control , and augmentative communication systems . She develops computational algorithms to objectively characterize voice pathologies and creates software for speech analytics in cognitive monitoring applications. Her work uniquely integrates electromyographic signal processing , human-computer interaction design , and clinical rehabilitation principles to address challenges in speech pathology. Analysis of her recent publications (2019-2023) reveals consistent focus on computational approaches to voice and speech analysis, with strong emphasis on methodological refinement for clinical applications. Key thematic threads include algorithmic development for fundamental frequency estimation, EMG-based voice prediction systems, and personalized AAC interface design that accommodates motor impairments. As Associate Director of the STEPP Lab, Dr. Vojtech leads an interdisciplinary research environment focused on engineering solutions for sensorimotor speech disorders. The lab provides infrastructure for developing and validating computational methods that translate engineering innovations into clinically viable rehabilitation tools.

• Public Health Research
• Cardiometabolic Disease Prevention
• Nutritional Epidemiology
• +7 more

Dr. Tina Cao is a Lecturer in Dietetics and Human Nutrition within the School of Food, Nutrition and Dietetics at La Trobe University. She holds an Honorary position at Baker Heart and Diabetes Institute and collaborates with researchers from Monash University and Northern Health. Her academic journey includes previous Research Fellow positions at Baker IDI Heart and Diabetes Institute and the University of Melbourne. Dr. Cao's educational background spans medical training (MBBS from Jiangsu University, China), public health (MMedSc from Karolinska Institute, Sweden), and epidemiology (PhD from University of Adelaide, Australia). Her diverse academic preparation has positioned her at the intersection of clinical medicine, public health, and nutritional science. Her research interests focus on cardiometabolic disease prevention through nutrition and lifestyle interventions at the population level. Dr. Cao investigates the complex relationships between dietary patterns, physical activity, sedentary behavior, and cardiometabolic outcomes, with particular attention to disadvantaged and culturally diverse populations in Australia. Her work bridges nutritional epidemiology with implementation science, developing evidence-based interventions that address health inequities. Dr. Cao frequently utilizes large-scale datasets like the China Health and Nutrition Survey and the AusDiab study in her research. Dr. Cao's publication record demonstrates consistent productivity with nearly 40 peer-reviewed journal articles and a national report, accumulating over 830 citations since 2019. Her recent work shows increasing focus on health literacy integration into chronic care models, particularly for culturally and linguistically diverse populations with type 2 diabetes. She has made significant contributions to understanding unmet needs in diabetes self-management and the role of digital health solutions during the pandemic. Her scientific recognition includes: Membership in the Australian Diabetes Society (since 2024) Membership on the La Trobe Academic Board (since 2024) Membership in The Nutrition Society of Australia (since 2016) As an educator, Dr. Cao supervises honors and master's students and teaches research-focused subjects including HEA 201 (Integrating Evidence into Practice), DTN 304 (Nutritional Epidemiology and Research Skills), and DTN 306/312 (Nutrition Research projects). She actively collaborates with Professor Brian Oldenburg at Baker Heart and Diabetes Institute and Associate Professor Rebecca Jessup at Northern Health, focusing on culturally diverse populations' health needs. Dr. Cao is committed to translating research findings into practical applications that address health inequities, particularly in the Australian context where cultural diversity presents unique challenges for chronic disease management. Dr. Cao maintains an active research agenda with multiple ongoing projects examining cardiometabolic health in diverse populations, digital health interventions, and implementation strategies for chronic disease management. Her work bridges academic research with practical healthcare solutions, demonstrating her commitment to improving population health outcomes through evidence-based practice.

Daye NamView profile

Assistant Professor

• Software Engineering
• Artificial Intelligence
• Human-Computer Interaction
• +3 more

Daye Nam is an Assistant Professor in the Department of Informatics at the University of California, Irvine, where they design, build, and evaluate AI tools for developers using natural language processing techniques. Their work sits at the intersection of software engineering, artificial intelligence, and human-computer interaction, with a strong focus on creating useful and usable tools that make software development more accessible, efficient, and enjoyable. Education PhD in Software Engineering, Carnegie Mellon University (2018-2024) MS in Computer Science, University of Southern California (2016-2018) BS in Computer Science, Yonsei University (2012-2016) Research Interests Dr. Nam's research focuses on designing, building, and evaluating AI tools for programmers at all levels, with an emphasis on making these tools both useful and usable. Their work spans several key areas including machine learning for software engineering (ML4SE), developer experience, and human-AI interaction. They employ a user-centered approach that involves conducting empirical studies to understand programmers' needs, building and training machine learning models based on those insights, creating tools for programmers, and evaluating them using human-computer interaction methods. Their research has particular relevance to AI-powered developer tools, API documentation and discovery, and educational applications of AI for programming students. Publications and Research Trends Dr. Nam's recent publications demonstrate a clear trajectory toward understanding and improving how developers interact with AI systems. Their work increasingly focuses on empirical studies of developer-AI interaction, particularly with large language models for code generation and understanding. There's a strong emphasis on understanding trust in AI systems among developers, measuring the actual impact of AI on development speed, and designing tools that balance automation with user control. Their research methodology often combines log analysis, user studies, and the development of novel AI-powered tools that address specific developer pain points. Scientific Awards and Honors Best Tool Paper Award at ASE ACM Student Research Competition 2nd Place SIGSOFT CAPS Student Travel Award for FSE ACM SIGSOFT NSF Travel Award NSF Travel Award for ICSE SIGSOFT Best Research Award from University of Southern California Teaching and Service Dr. Nam teaches SWE 233: Intelligent User Interfaces at UC Irvine, guiding students through the design and evaluation of AI-powered interfaces for software development. They have previously served as a Teaching Assistant and Co-Instructor for Foundations of Software Engineering at Carnegie Mellon University. In terms of service, they've been on program committees for major software engineering conferences including ICSE, ASE, and FSE, and have reviewed papers for journals like TOSEM and Empirical Software Engineering. They've also been active in student support programs, organizing and mentoring for graduate applicant support initiatives.

Manfred SchochView profile

Professor

• Digital Workplace
• IT Enterprise Architecture
• Strategic IT Management
• +3 more

Prof. Dr. Manfred Schoch serves as Professor of Business Informatics at Esslingen University of Applied Sciences' Faculty of Computer Science and Information Technology. He concurrently holds leadership roles at Fraunhofer FIT's Business Informatics branch and directs the FIM Research Institute for Information Management. His career bridges academic research with industrial digital transformation projects across sectors including transportation, finance, and manufacturing. His educational foundation includes: Summa cum laude doctorate from University of Hohenheim focusing on digital workplace communication technologies M.Sc. in Information-Oriented Business Administration and B.Sc. in Business Informatics from University of Augsburg Academic exchange at University of Pittsburgh's Joseph M. Katz Graduate School of Business Prof. Schoch's research centers on three interconnected domains: technology implementation in digital workplaces, strategic IT management and enterprise architecture, and data-driven workflow automation. He employs mixed-method approaches combining quantitative network/survey analysis with qualitative interview techniques to examine technology's organizational impact. Recent work investigates pandemic-driven remote work adaptations, AI integration challenges, and behavior change support systems for workplace stress management. His publication trajectory (2022-2025) reveals intensifying focus on generative AI applications, digital workplace resilience, and ethical technology adoption. Key themes include human-AI collaboration models, technostress mitigation, and CSR-guided digitalization. His work appears in premier venues like European Journal of Information Systems and ICIS proceedings. Professional recognition includes: Hohenheim Teaching Prize (2022) for innovative digital management pedagogy He actively supervises student theses through industry-collaborative projects with companies including DB Fernverkehr and Allianz. His research funding stems from Bavarian consortium initiatives like ForDigitHealth and international partnerships with MIT and Microsoft Research. Current grants focus on sustainable hybrid work models and AI-enhanced decision systems. As FIM Research Institute director, he leads cross-disciplinary teams developing practical digital transformation frameworks. The institute maintains strong industry connections through its Digital Leadership Academy and applied consulting projects addressing real-world challenges in workflow automation and IT-business alignment.

• Ontology-based databases
• Formal methods
• Human-computer interaction
• +5 more

Yamine Ait-Ameur is a Full Professor in Data Engineering at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique). He maintains dual laboratory affiliations with LIAS (Laboratoire d'Ingénierie des Applications de la Connaissance et des Systèmes) at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA campuses, reflecting his cross-institutional research activities. Professor Ait-Ameur's research program centers on formal methods for data engineering, with particular expertise in Event-B modeling applied to ontology-based database systems and multimodal human-computer interaction. His work bridges theoretical computer science with practical engineering applications, developing frameworks like OntoDB/OntoQL that enable semantic data representation and querying. His research trajectory shows evolution from foundational work in formal verification of numerical computations (1990s) to sophisticated applications in semantic web technologies, industrial automation systems, and multimodal interfaces (2000s-present). The publication record reveals strong thematic continuity across three decades, with recent work emphasizing formal verification of interactive systems (2013-2017), semantic data engineering methodologies, and multimodal interface design. His scholarly output demonstrates consistent international collaboration, particularly with researchers in Spain, Tunisia, and other European countries, as evidenced by co-authored publications and conference organization. Professor Ait-Ameur has played significant editorial roles including guest editing special issues of Data and Knowledge Engineering (2010) and Computers in Industry (2014), and co-organizing the Models and Data Engineering (MEDI) conference series. His research has practical applications in industrial automation, geological modeling, and transportation systems, as indicated by multiple publications addressing real-world implementation challenges.

• Human-Computer Interaction
• Posthumanism
• Entanglement HCI
• +13 more

Christopher Frauenberger is a Professor of Human-Computer Interaction at the IT University of Linz . His research bridges philosophy and design to explore relationships between humans and digital technologies, focusing on Entanglement HCI and PANDORA philosophy circle . He actively engages with neurodiverse groups , particularly autistic children, and examines ethics in design through roles like ACM SIGCHI Ethics Board and Interdisciplinary Transformation University affiliations. Education : PhD in Human-Computer Interaction Research Areas : Participatory Design, Assistive Technologies, Social Play, Ethics in HCI His recent work explores diversity computing and inclusive design spaces , emphasizing relational agency and performative perspectives . Publications address smart technologies for children , critical design methodologies , and value-driven innovation . Supervisions include doctoral work on post-project toolkits and value-driven meeting rooms . He advocates for posthumanist design and critical reflections on technology's societal impact.

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +3 more

Matteo Bosco is a PreDoc Researcher at the Department of Software Technology and Interactive Systems, TU Wien, within the Virtual and Augmented Reality group. His work focuses on advancing human-computer interaction in immersive environments, particularly through conversational agents, neurotechnology integration, and circular economy frameworks. He contributes to the Circular Twin research project, addressing sustainable building design through digital twins and generative algorithms. Education & Roles: PreDoc Researcher (PhD candidate) at TU Wien Research Interests: His primary areas include: VR/AR interfaces enhanced by large language models BCI-driven human-robot interaction systems Procedural building design using conversational AI Sustainable architecture via circular twin frameworks He explores how immersive technologies can bridge human-centric design with computational efficiency, emphasizing accessibility and environmental sustainability. Key Projects: Circular Twin (2022–2025): Developing digital ecosystems for circular buildings using BIM and VR. Neurotag Visualization Media: Comparing AR/VR/monitor-based BCI interfaces. Labs & Teams: Active in the Mixed Reality Lab and collaborates with the Virtual Meeting Room initiative at TU Wien.

Kristina Eriksson-BackaView profile

Professor

• Health Information
• e-Health
• Information Behavior
• +2 more

Kristina Eriksson-Backa is Professor at the School of Business and Economics, Faculty of Social Sciences, Business and Economics, and Law. Recognized through numerous publications, her research focuses on health information systems and vulnerable populations. Research interests center on health information literacy, e-health adoption among seniors, and healthcare access for immigrant communities. Significant work examines how information behavior affects health outcomes in marginalized groups. Publications demonstrate strong focus on digital health equity across diverse populations. Recent studies analyze EHR system design for seniors, health information practices in diabetes management, and refugee health-seeking behaviors across Nordic countries. Consistent themes include technology adoption barriers and cross-cultural health communication. Editorial and examination activities include doctoral dissertation pre-examination and conference organization. Research leadership includes ongoing studies on health information vulnerability through international collaborations.

Mehdi DastaniView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Formal Methods in AI
• +5 more

Prof. Mehdi Dastani is a Professor and chair of the Intelligent Systems group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. He leads the Master's program in Artificial Intelligence and focuses on formal and computational models in AI, particularly multi-agent systems. His research integrates insights from philosophy, psychology, and law to develop autonomous agents that reason about social and cognitive concepts like norms, emotions, and responsibility. Dastani has held academic roles at Utrecht University since 2001, including postdoctoral research and faculty positions. Education: M.Sc. Computer Science (University of Amsterdam, 1991), M.Sc. Philosophy (University of Amsterdam, 1992), Ph.D. in Humanities (University of Amsterdam, 1998). His work spans theoretical and applied projects, including grants for initiatives like Golden Agents (simulating Golden Age creative industries) and traffic control systems using virtual organizations. He is actively involved in academic committees, editorial boards, and organizing international conferences like AAMAS and PRIMA. Research Interests: Multi-Agent Programming, Normative Systems, Autonomous Agents, Cognitive Robotics, and Human-Centered AI. His projects address challenges like norm enforcement, decision-making in complex systems, and ethical AI integration with societal needs. Advising & Grants: Supervised numerous PhD students (e.g., Birna van Riemsdijk, Bas Testerink) and secured grants for projects such as 'Controllable AI: Human-Centered Approach'. His work includes collaborations on urban governance, autonomous driving, and AI tools for literacy support in children. Labs & Teams: Leads the Intelligent Systems group, contributing to agent-based simulations, ethical AI frameworks, and interdisciplinary collaborations with social scientists and urban planners.

Gijs HuismanView profile

Researcher

• Human-Centered Design
• Haptics Technology
• Affective Computing
• +3 more

Dr. Gijs Huisman is a researcher at the Delft University of Technology's Industrial Design Engineering faculty, specializing in Human-Centered Design and Perceptual Intelligence. His work focuses on haptics technology, mediated social touch, and multisensory interaction design. He leads projects like Dark Haptics and ShareYourReality , exploring haptic feedback in mobile interfaces and virtual avatar co-embodiment. His research bridges disciplines such as material science, cognitive science, and ethics to design inclusive technologies. Key Areas : Haptic wearables, affective computing, food interaction, and ethical AI. Recent Work : Investigating shape-memory alloys for assistive devices and developing tools for studying digital social touch ethics. Collaborations : Active in transdisciplinary teams addressing DEI in robotics and universal design. His research emphasizes practical applications in healthcare (e.g., fidget devices for stress reduction) and consumer products (e.g., aesthetically pleasing headphones). He teaches the Dare to Design Studio course, fostering innovative design thinking. Though no formal awards are listed, his prolific publication record (over 80 articles) demonstrates sustained impact in haptics and HCI fields. He actively engages with industry collaborations through TU Delft's research labs and graduate programs.

Sven TarpView profile

Professor

• Lexicography
• Artificial Intelligence
• Spanish Language
• +3 more

Professor Sven Tarp is affiliated with Aarhus University as a faculty member at the School of Communication and Culture , specializing in Spanish Business Communication . His research focuses on lexicography, artificial intelligence, and digital tools for language learning. Education: Not explicitly detailed in the scraped text. Research Interests: Sven Tarp explores the intersection of lexicography and generative AI , with a focus on creating context-aware dictionaries and writing assistants for foreign-language learners. His work emphasizes human-AI collaboration and user-centered design in digital lexicography. Scientific Trends: His recent publications highlight the integration of AI technologies into lexicographic practices , particularly for Spanish and Chinese learners of English . Themes include grammar development , digital dictionaries , and pedagogical tools that combine machine learning with human expertise. Projects: He contributes to initiatives like the LACUA (Latin American Center Aarhus University) and leads research on disruptive technologies in lexicography , spanning 2018–2023.