Find Academic Supervisors

Cindy Hsin-Liu KaoView profile

Assistant Professor

• Human-Computer Interaction
• Human-Robot Interaction
• Wearable Technology
• +4 more

Cindy Hsin-Liu Kao is an Assistant Professor in the Department of Design + Environmental Analysis at Cornell University. Her research focuses on human-centered design of wearable technologies, blending aesthetics and cultural perspectives into on-body interfaces. She leads Cindy's Lab , exploring topics like biodegradable e-textiles, sweat-sensing systems, and modular wearable frameworks. Dr. Kao earned a Ph.D. from the MIT Media Lab, followed by a Master's in Computer Science and dual Bachelor's degrees in Computer Science and Technology Management from National Taiwan University. Prior to academia, she worked at Microsoft Research developing cosmetics-inspired wearables. Her research interests span Hybrid Body Craft , emphasizing culturally inclusive design for wearables. Notable projects include texTENG (self-powered sensors) and MediKnit (medical-grade wearable devices). She has exhibited work globally, including at the Boston Museum of Fine Art and Dutch Design Week. Her work has garnered awards such as the ACM CHI Best Paper Honorable Mention and Fast Company Innovation by Design Finalist . Current projects investigate sustainable materials ( EcoThreads ) and collaborative robotics ( Weaved Inflatable Barriers ). Dr. Kao's lab actively explores intersections between technology and culture, with a focus on democratizing wearable prototyping through toolkits like SkinKit .

Maria YangView profile

Professor

• early stage design process
• design methods
• mechanics
• +5 more

Maria Yang is a Professor and the William E. Leonhard Professor/Interim Dean of the School of Engineering at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Mechanical Engineering. Her research focuses on early stage design processes , design methods , and system-level engineering design , with applications spanning consumer products, complex systems, and sustainable technologies. Educational Background: B.Sc., MIT (1991) M.Sc., Stanford University (1994) Ph.D., Stanford University (2000) Yang's research explores the theoretical foundations of design , emphasizing sketching , prototyping , and design cognition . Her work addresses global challenges in sustainability , emerging markets , and human-computer interaction , as demonstrated by collaborations with NASA, IBM, and Ferrari. Recent publications highlight trends in design-by-analogy , 3D printing of transparent glass , and information flow in complex systems . Her research bridges mechanical engineering , bioengineering , and computational design . Scientific Awards: 2024 ASME Design Theory and Methodology Award 2024 ASME Design Theory and Methodology Best Paper Award 2017 MacVicar Faculty Fellow 2016 Bose Excellence in Teaching Award 2014 ASEE Fred Merryfield Design Award 2013 ASME Fellow Yang mentors students through courses like 2.00B Toy Product Design and 2.009 Product Engineering Processes , and leads the MIT Ideation Laboratory , which investigates transformational design strategies for global competitiveness and sustainability.

Sabirat RubyaView profile

Assistant Professor

• Human-Computer Interaction
• Social Computing
• Health Informatics
• +3 more

Dr. Sabirat Rubya is an Assistant Professor in the Department of Computer Science at Marquette University, co-directing the Social and Ethical Computing Lab. Her research focuses on designing mobile health technologies for vulnerable populations at risk of mental health disorders, emphasizing human-centered computing and health informatics. Education: BSc in Computer Science from Bangladesh University of Engineering and Technology (BUET), PhD in Computer Science from the University of Minnesota. Research Interests: Human-Computer Interaction, Social Computing, Health Informatics, and Human-Aided Machine Learning. She explores technologies supporting marginalized communities through participatory design and mixed-method approaches. Publications highlight user-centric evaluations of mental health apps, predictive analytics for veteran crises, and community-based data validation in recovery contexts. Recent work includes a grant from Advancing a Healthier Wisconsin Endowment to commercialize a veteran support app (as co-Investigator). Service: Served as CHI 2021 Late-Breaking Work Program Committee member, PC member for CHI 2022, and Web Co-Chair for CSCW 2023. Holds leadership roles in HCI conferences and lab co-direction. Labs/Teams: Co-directs the Social & Ethical Computing Lab at Marquette, focusing on ethical tech design and health equity.

Andre NybergView profile

Professor

• Chronic Obstructive Pulmonary Disease (COPD)
• Respiratory Rehabilitation
• Physical Exercise Therapy
• +7 more

Andre Nyberg is a Professor at the Department of Community Medicine and Rehabilitation, Section of Physiotherapy, Umeå University, Faculty of Medicine. He serves as Group leader of Umeå Translational Respiratory EXercise group (U-TREX), a multidisciplinary research group dedicated to patient-centered research for individuals with respiratory diseases. His educational background includes: Associate Professor, Physiotherapy (2019) Ph.D. in Physiotherapy, Umeå University (2014) Master's degree in sports medicine, Umeå University (2013) Master's degree in physiotherapy, Umeå University (2013) Bachelor's degree in sports medicine, Umeå University (2011) Bachelor's degree in physiotherapy, Umeå University (2009) Bachelor's degree in health sciences, Umeå University (2007) Dr. Nyberg's primary research focuses on developing new strategies for the assessment and management of extrapulmonary manifestations among people with COPD. His work examines the effects and explanatory mechanisms of different forms of physical exercise on extrapulmonary manifestations such as impaired muscle, cardiovascular, and cognitive function. He investigates the reliability, validity, and feasibility of different strategies for assessing thigh muscle function in COPD and develops new treatment strategies optimizing physical exercise in COPD through both in-vivo and in-vitro experiments using quantitative and qualitative research methods. His recent publications (2023-2024) demonstrate a strong emphasis on high-intensity interval training for COPD patients, muscle function assessment, and digital health interventions. The research spans from physiological mechanisms to clinical implementation and patient-centered outcomes, reflecting a comprehensive translational approach that bridges laboratory findings with practical clinical applications. Scientific awards and recognitions: Erik K Fernströms Pris for young promising researchers (2023) European Research Council Starting Grant (2022) Heart and Lung Foundations Mentor Program for promising young scientists (2022) Prince Daniel's Research Grant for Promising Young Researchers (2021) Best Abstract at CR-IUCPQ, Quebec, Canada (2020) Best Poster presentation at Nordic Lung Congress (2017) Best abstract in COPD at European Respiratory Society, Munich (2014) Dr. Nyberg serves as a supervisor for bachelor's and master's level projects and has been teaching undergraduate and master's training for physiotherapists and occupational therapists since 2011. He became a Senior Lecturer in 2016 and was recognized as a distinguished university teacher in 2021. He is responsible for the course 'Physiotherapy - clinical evaluation and measurement methodology' and delivers lectures at Master and Research levels. He leads multiple research projects including 'Countering stigma in self-management in people with chronic obstructive pulmonary disease' (2024-2026) and 'COPD-HIIT' (2021-2028), and serves in various leadership roles including Chair of the European Respiratory Society - Physiotherapy Subgroup (2024-2027).

• Pediatric Health Psychology
• Pain Management
• Menstrual Pain
• +4 more

Michelle Gagnon is an Associate Professor in the Department of Psychology at the University of Saskatchewan , affiliated with the College of Arts and Science . Her research focuses on social and psychological influences in pain experiences across the lifespan, with an emphasis on pediatric pain, menstrual pain, and mental health literacy. She leads the Family Health Lab , collaborating with healthcare systems to improve pain assessment and management. Her work integrates experimental methodologies with real-world applications, such as developing mindfulness-based apps for adolescents with menstrual pain. Education: Ph.D. in Clinical Psychology (2016), University of Regina M.A. in Clinical Psychology (2012), University of Regina B.A. Honours in Psychology (2010), University of Ottawa Research Interests: Biopsychosocial models of menstrual pain Knowledge translation in healthcare Emotion regulation in chronic pain Mental health literacy among adolescents and parents Pain expression and communication Publications: Over the past five years, Dr. Gagnon has published extensively on menstrual pain management, pediatric pain interventions, and knowledge translation strategies. Her work spans Journal of Health Psychology , Pain , and Qualitative Health Research , with a focus on translating research into clinical practice. Teaching & Mentorship: She teaches courses such as Health Psychology and Advanced Child Psychopathology , mentoring students in clinical and research settings. Her lab supports graduate and undergraduate trainees in pain-related and mental health projects. Labs/Teams: Director of the Family Health Lab , which investigates family dynamics in health decision-making and pain management.

Chenjuan GuoView profile

Associate Professor

• Machine Learning
• Data Engineering
• Spatio-temporal Data Analysis
• +4 more

Chenjuan Guo is an Associate Professor at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. She is affiliated with the Data Engineering, Science and Systems group and the AI for the People initiative, and is part of the Daisy - Center for Data-intensive Systems. Her research focuses on machine learning, data engineering, spatio-temporal data analysis, and time series forecasting. Key projects include the Villum Foundation-funded 'Explainable AI for Complex Microbial Community Interactions and Predictions' (2021-2024) and the Astra project on time series analytics in spatial networks (2018-2021). Her research interests span representation learning, autoencoders, path representation, outlier detection, trajectory data analysis, and time series modeling. She has supervised 3 PhD students and contributed to over 60 publications, with a recent emphasis on transformer-based forecasting, neural architecture search, and continuous learning frameworks for spatio-temporal data. Her work bridges theoretical advancements with practical applications in environmental science, cloud computing, and urban mobility systems. Key achievements include developing frameworks like AutoCTS++ for automated time series forecasting and LightGTS for lightweight models. She actively collaborates internationally, contributing to conferences like ECML PKDD and CVPR. Her research is supported by grants from the Villum Foundation and other institutions.

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +8 more

Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy

Daniel TauritzView profile

Professor

• Artificial Intelligence for National Security
• Cyber Security
• Critical Infrastructure Protection
• +5 more

Daniel Tauritz is a Professor in the Department of Computer Science and Software Engineering at Auburn University and serves as Director for National Laboratory Relationships. He holds a Ph.D. and M.S. in Computer Science from Leiden University, along with propaedeutic studies in Computer Science and Mathematics. His research focuses on AI-driven cybersecurity, automated algorithm design using hyper-heuristics, computational game theory, and evolutionary computation. Tauritz leads initiatives such as the Auburn Cyber Research Center and collaborates with institutions like Los Alamos National Laboratory on critical infrastructure protection and satellite network security. His work bridges academia and national security through projects like the Cyber Fire Puzzles competition and the Satellite Tycoon economic simulation game. His educational background includes advanced studies at Leiden University, with a strong foundation in computer science and mathematics. Research contributions span evolutionary algorithms for molecular evolution, coevolutionary defense strategies, and generative hyper-heuristics. Tauritz has secured grants including an NSF award for AI-cybersecurity education and contributed to Auburn’s partnerships with national laboratories. He is actively involved in fostering student engagement through ethical hacking clubs and experiential learning programs. Notable achievements include moderating panels on AI in cybersecurity and AI workforce development, as well as developing frameworks like Galaxy for network emulation and DCAFE for automated cyber experiments. His publications emphasize applying evolutionary computation to real-world challenges, including satellite constellation economics and adversarial network defense strategies.

Armin HeinzlView profile

Professor

• Information Systems
• Business Informatics
• Digital Innovation
• +4 more

Prof. Dr. Armin Heinzl is a leading academic in the field of Information Systems and Business Informatics, holding the Chair of General Management and Information Systems at the University of Mannheim since 2002. His research focuses on digital innovation, healthcare IT, and platform ecosystems, with significant contributions to understanding AI integration in teams and decision-making processes. Chair of General Management and Information Systems, University of Mannheim (2002–present) Former Chair of Business Informatics, University of Bayreuth (1996–2002) His research spans: Digital Innovation (Platform Ecosystems, Agile Methodologies, Conversational Agents) IT Outsourcing and Cloud Computing Healthcare IT (Mobile Health Applications, AI-Driven Decision Automation) Recent work examines generative AI's role in team decision-making and stroke detection using 5G technology. He has received prestigious awards including the AIS Fellow Award and AISD First Award. Scientific recognitions include: AIS Fellow Award for contributions to Information Systems AISD First Award for novel research methods He supervises students in the Chair of General Management and Information Systems, with co-authored studies appearing in top journals like the Journal of Organizational Behavior . His lab supports innovative projects such as the 5G-powered "RettungsNetz-5G" for emergency stroke care.

Osama MahmoudView profile

Lecturer

• Predictive Modelling
• Health Data Science
• Machine Learning
• +6 more

Dr. Osama Mahmoud is a Lecturer (Assistant Professor) in Data Science and Statistics at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS) and the Department of Mathematical Sciences. He holds dual roles as the Director of the BSc Data Science and Analytics programme and Deputy Director of Research at SMSAS. His academic journey includes a PhD in Statistics from the University of Essex and an Honorary Senior Researcher position at the University of Bristol Medical School (2020–2024). Dr. Mahmoud's research focuses on Predictive Modelling, Health Data Science, Machine Learning, Bio and Medical Statistics, and Explainable AI. He pioneered the Slope-Hunter method (Nature Communications, 2022) for bias correction in genome-wide studies and developed tools like the Proportion Overlapping Score (POS) and open-source packages on CRAN/GitHub. His work bridges statistical methodology with applications in healthcare, environmental epidemiology, and industrial collaboration. Key contributions include studies on sleep-breast cancer mortality linkages (2025), lung function-cardiovascular risk relationships (2024), and smoking's role in depression recovery (2022). He has secured grants supporting collaborations with UNDP, Rolls Royce, and Recruitment Smart. Teaching innovations include pioneering programming and text analytics modules. Education: PhD in Statistics, University of Essex Affiliations: UK Reproducibility Network (UKRN) Institutional Lead, British Data Science Society Member Grants: Projects in Data Science, theoretical/applied Statistics, and industrial partnerships Tools: ESKNN, OTE, propOverlap packages on CRAN His work emphasizes reproducibility, with over 50 peer-reviewed publications and international teaching engagements at ICTP (Italy), EuADS (Luxembourg), and UK institutions.

Mark JonesView profile

Associate Professor

• Service Design
• Healthcare Design
• AI Ethics
• +4 more

Mark Jones is an Experience Design Principal at Humana and teaches User Research and Service Design at the Institute of Design (ID) within Illinois Institute of Technology. He holds a BFA from Amherst College and an MDes from ID. His work focuses on AI ethics, healthcare innovation, and human-centered design methodologies. Research interests include leveraging design to address societal challenges in the AI era, strategic service design in healthcare, and integrating quantitative/qualitative methods. His 2024 report on AI responsibility is a key contribution. He founded SD Lab (2017), a consultancy focused on innovation methods. Previously, he served as Vice President of Design at UnitedHealthcare (2014–17) and Managing Director at IDEO (2000–14), leading projects like healthcare access initiatives and retail banking reinvention. His career spans design leadership, technology futurism, and creative industries.

Amy PapaeliasView profile

Associate Professor

• Graphic Design
• Typography
• Digital Humanities
• +4 more

Amy Papaelias is an Associate Professor of Graphic Design at the State University of New York at New Paltz (SUNY New Paltz), where she teaches courses in web design, interaction design, typography, and 2D design. She holds an MFA in Intermedia Design from SUNY New Paltz and a BA in English Cultural Studies from McGill University. Her research focuses on design practices in scholarly publishing, typography, and the intersections of design with digital humanities. Notable projects include the long-term study of academic journal design ( What Scholarship Looks Like ) and co-editing the special issue Critical Making: Design and the Digital Humanities for Visible Language . She has also developed Serendip-o-matic , a web-based tool for scholarly discovery. Amy is actively involved in professional organizations such as the Type Directors Club and Alphabettes, a network she co-founded to promote women’s work in typography. She has received the 2017 Design Incubation Communication Design Educators Award for her research publications. Her teaching emphasizes design pedagogy, digital literacy, and fostering student engagement with design communities. She advises the Design Society, a student design club, and serves on the board of the New Paltz Central School District Foundation.

Christopher CollinsView profile

Professor

• Information Visualization
• Human-Computer Interaction
• Pen+Touch Interface Design
• +7 more

Dr. Christopher Collins is a Professor of Computer Science at Ontario Tech University, leading the Visualization for Information Analysis Lab (vialab). He holds a PhD from the University of Toronto (2010) and focuses on interdisciplinary research in information visualization, human-computer interaction, and natural language processing. His work addresses challenges in information overload, text analytics, and novel interfaces such as touch, pen, VR/AR. Collins' research has been featured in top-tier venues like ACM CHI and IEEE Transactions on Visualization and Computer Graphics, earning honorable mentions and over $3M in funding as sole PI. He serves on the IEEE VIS Executive Committee and Board of Governors at Ontario Tech University. Education: PhD in Computer Science, University of Toronto (2010) MSc in Computer Science, University of Toronto (2004) BSc (Hons) in Computer Science, Memorial University (2001) Research Interests: Collins' work spans information visualization , pen+touch interfaces , visual analytics , and text-driven systems . He explores how interactive technologies can democratize complex data analysis, particularly in education, healthcare, and creative domains. Recent projects include gaze-driven learning tools, context-aware camera interfaces, and bias-mitigating product review analysis. Awards: ACM CHI Honorable Mention Award IEEE VIS Honorable Mention Award Grants & Impact: Secured $3M+ in research funding. Media coverage includes New York Times and CBS Sunday Morning for innovations in visualization and text analytics. Teaches courses in human-computer interaction, computer graphics, and information visualization. Labs & Collaborations: vialab develops tools like Lexichrome , ConToVi , and NeuroSight . Active in IEEE Visualization and ACM Interactive Media communities. Collaborates with academia and industry globally.

• Mathematics Education
• Quantitative Research Methods
• Educational Attitudes
• +4 more

Dr. Maria Pampaka is a Professor at the University of Manchester, holding joint appointments in the Manchester Institute of Education and the Department of Social Statistics. Her research focuses on mathematics education, particularly learners’ attitudes and dispositions, advanced quantitative methods, and the application of complex systems theory. She has led projects on mathematics anxiety, gender equality measurement, and longitudinal survey analysis. Pampaka employs methodologies like Rasch modeling, missing data imputation, and agent-based simulations. She has collaborated internationally on studies ranging from regional gender gaps to tourist behavior analysis. Her work contributes to UN Sustainable Development Goals related to quality education and gender equality. Her research interests span mathematics education, quantitative research methods, and social statistics. Notable projects include a systematic review of mathematics anxiety and the development of the Extended Regional Gender Gaps Index (eRGGI). She has also explored applications of machine learning in tourism and healthcare, such as predicting revisit intentions and optimizing hospital resource allocation during the pandemic. Projects: Systematic review of mathematics anxiety, eRGGI development, analysis of sexual assault survivor support needs, and requirements discovery for smart driver assistive technologies. Key methodologies: Rasch modeling, multilevel modeling, thematic analysis, agent-based simulations, and machine learning. Collaborations: Cross-disciplinary work with social scientists, engineers, and healthcare professionals internationally. Pampaka’s work bridges education, statistics, and policy, aiming to inform equitable practices in learning and societal structures. She is engaged in impact initiatives like the Good Behavior Game evaluation and policy-informed gender equality research.

Christina HendricksView profile

Teaching Professor

• History of Philosophy
• Teaching and Learning
• Open Educational Resources (OER)
• +3 more

Christina Hendricks is a Professor of Teaching in the Department of Philosophy at the University of British Columbia (UBC) , Vancouver. She also serves as Vice-Provost and Associate Vice-President, Teaching and Learning (pro tem) at UBC Vancouver and is the Academic Director of the Centre for Teaching, Learning, and Technology . Her roles emphasize educational leadership and innovation in higher education, particularly in open educational practices (OEP) and the Scholarship of Teaching and Learning (SoTL). Education: B.A. in Philosophy and Political Science (University of Idaho, 1991) Ph.D. in Philosophy (University of Texas at Austin, 2000), with a dissertation on Michel Foucault’s political thought. Research Interests: Open Educational Resources (OER) and open pedagogy Peer feedback mechanisms in teaching Educational leadership and policy History of philosophy, focusing on Foucault and critical theory Key Contributions: Series editor of open textbooks for introductory philosophy courses (e.g., Philosophy of Mind , Ethics ). Research on OER adoption, open pedagogy’s impact on student learning, and institutional OEP self-assessment frameworks. Awards: 2016 Killam Teaching Award (UBC Vancouver). Advising & Grants: Focuses on undergraduate teaching; does not supervise graduate students but occasionally serves on graduate committees. Lead or co-lead in projects funded by UBC and external grants to support OER and educational technology initiatives. Labs/Teams: Centre for Teaching, Learning, and Technology at UBC. Collaborations with institutions globally on OER and open pedagogy (e.g., OE Global, OER18).