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Camilla GraneView profile

Senior Lecturer

• Human-Machine Interaction
• Engineering Psychology
• Usability
• +7 more

Camilla Grane serves as a Senior Lecturer in Psychology at Luleå University of Technology, where she is affiliated with the Department of Health, Education and Technology and specifically works within the Division of Health, Medicine and Rehabilitation. In addition to her teaching responsibilities, she holds the position of deputy head of education for the Department of Health, Medicine, and Rehabilitation (HMR). Dr. Grane holds a Master of Science degree in Ergonomic Design and Production and earned her PhD in Engineering Psychology. Her educational background has prepared her for interdisciplinary work at the intersection of psychology, engineering, and human factors, focusing on the practical application of psychological principles to real-world technological challenges. Her research centers on human-machine interaction and psychosocial factors, with notable expertise in attention and distraction when using multimodal interfaces in vehicles. She has expanded her research scope to include workers' digital tools and wearable sensors in mining and process industries, examining critical aspects such as usability, efficiency, safety, acceptance, and privacy. Dr. Grane is particularly interested in how ongoing digital development creates new relationships between humans and technology, with emerging interests in generative AI and human-robot interaction as research areas. Her publication record demonstrates a strong focus on automotive human factors, with numerous studies on gear shifter usability, human-automation interaction, and safety in industrial contexts. Her work spans multiple disciplines including psychology, engineering, ergonomics, and industrial safety, reflecting her interdisciplinary approach to understanding human-technology interactions across different environments. Dr. Grane teaches across multiple academic programs including the Psychology Bachelor's program and the Master of Science program in Industrial Design Engineering. Her extensive teaching portfolio covers Introduction to Psychology, Engineering Psychology, Social Psychology: Psychological Perspectives, Work and Motivation Psychology, Human-Machine Interaction, Usability, and Ergonomics and Cognition, among other specialized courses. She has led and participated in several significant research projects including 'Working environment of control room operators' (Swedish Transport Administration), 'SIMS' (attitudes towards positioning technology in mining environments), 'Quicktag' (mobile applications for inspections at Boliden), 'The Future Operator' (digital tools for future operators at LKAB and Boliden), 'MODAS' (measuring trust in highly automated vehicles), and 'Life on Board' (usability of future gear selectors in vehicles).

• Social Psychology
• Gender Studies
• Media Studies
• +2 more

Trinidad Nuñez Domínguez is a Professor at the University of Seville's Faculty of Communication within the Department of Education and Social Psychology. Born December 4, 1961 in Seville, Spain, she holds a PhD in Psychology from the University of Seville with her 1998 thesis 'La imagen social del profesorado no universitario un estudio de tres emisores de rol: la LOGSE, la prensa y el propio colectivo profesional.' Her research spans: Gender representation in media and public spaces Virtual reality applications for gender equality education Analysis of hate speech against women in digital environments Historical representation of Andalusian women in cinema Epistemic justice through feminist communication frameworks Recent work focuses on VR educational tools, street toponymy through gendered lenses, and taxonomies of online hate speech targeting women. Notable awards include: Meridiana Award (2013) from the Andalusian Government Carmen de Burgos Award for Feminist Dissemination (2013) Women's Award from Seville City Council (2015) She serves as president of the Ethics and Guarantees Commission of the Professional Association of Journalists of Andalusia since May 2024 and has advised on Andalusia's Audiovisual Law development. Her interdisciplinary approach bridges psychology, communication studies, and feminist theory to address systemic gender inequalities in media representation and public discourse.

Zhimei RenView profile

Assistant Professor

• Distribution-free inference
• Multiple hypothesis testing
• Data-driven decision making
• +5 more

Zhimei Ren is an Assistant Professor in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania. She received her Ph.D. in Statistics from Stanford University in 2021 under the supervision of Professor Emmanuel Candès and completed a postdoctoral fellowship at the University of Chicago from 2021-2023, advised by Professor Rina Foygel Barber. Prior to her doctoral studies, she earned a B.S. in Statistics from Peking University in 2016. Her educational background includes: Ph.D. in Statistics, Stanford University, 2021 (Advisor: Emmanuel Candès) B.S. in Statistics, Peking University, 2016 Dr. Ren's research focuses on developing distribution-free statistical methods with applications across various domains. Her work centers on distribution-free inference, multiple hypothesis testing, data-driven decision making, causal inference, and survival analysis. She has made significant contributions to conformal prediction frameworks, developing novel approaches for selection-conditional coverage, interactive framework for conformal selection, and applications in survival analysis. Her research bridges theoretical statistics with practical applications in healthcare, education technology, and machine learning model validation. Analysis of her publication record reveals a strong focus on conformal prediction methods and their extensions. Over the past two years, she has published extensively on topics including conformal selection frameworks, distribution-free inference for survival analysis, and applications of conformal methods to foundation models and time series data. Her work demonstrates a consistent theme of developing theoretically sound statistical methods that provide rigorous guarantees without distributional assumptions, making them broadly applicable across scientific domains. Her notable scientific achievements include: Rising Star in Data Science, University of Chicago, 2022 Waterloo Student Conference Presentation Award, University of Waterloo, 2021 First Prize of the 2018 Citadel Datathon, Stanford University, 2018 Dr. Ren is actively engaged in academic service, currently co-organizing the International Seminar on Selective Inference with prominent researchers in the field. She teaches advanced statistical courses including Statistical Inference (STAT4310) and Seminar in Advanced Applications of Statistics (STAT9910) at the University of Pennsylvania. Her teaching focuses on statistical methodology and inference, preparing students for both theoretical and applied work in statistics and data science. Dr. Ren has also developed several R packages including cfsurvival for conformalized survival analysis and derandomKnock for implementing derandomized knockoffs procedures, demonstrating her commitment to making her research accessible and usable by the broader scientific community.

• Artificial Intelligence
• Group Recommender Systems
• Affective Computing
• +5 more

Patrícia Raquel de Jesus Araújo Alves is a PhD student at the University of Minho and a Guest Assistant Professor at the Polytechnic Institute of Porto (ISEP-IPP). She holds a Master in Informatics and Computing Engineering from the University of Porto and a Bachelor's in Chemistry. Her academic career includes multiple research grants from FCT and participation in projects related to artificial intelligence, gamification, and group recommender systems in tourism. PhD in Informatics (ongoing), University of Minho MSc in Informatics and Computing Engineering, University of Porto BSc in Chemistry, University of Porto Microbiological Analysis Technician Certificate, Portuguese Catholic University Her research focuses on Artificial Intelligence applications in tourism, particularly group recommender systems, gamification, and affective computing. She has developed frameworks for context-aware group recommendations and multi-agent microservices, addressing challenges like conflicting preferences and cold-start problems. Her work has been published in journals like Applied Sciences and Neurocomputing , as well as conferences such as ACM UMAP and AAMAS. Key trends in her recent publications include: Integration of personality traits into group recommendation algorithms Use of gamification for user engagement and data collection Application of microservices architecture for scalable decision support systems Exploration of augmented reality and pervasive games in tourism Development of consensus-based multi-agent frameworks Advancing dispersed group decision-making methodologies Scientific recognition includes: Second Best Paper Prize at Pro-VE 2012 IBM Demonstration Award for PAAMS'22 She has served as co-orientador for multiple undergraduate and master's theses at ISEP-IPP, covering topics from multi-agent microservices to gamification in education. Her professional experience spans academic research at institutions like ALGORITMI Centre and GECAD, as well as industry roles at Altran Portugal and SPMS.

Sauman ChuView profile

Professor

• Human-centered Design
• Design and Health
• User Experience Design
• +5 more

Sauman Chu is a Professor and Graphic Design Leader in the Administration (OUE) at the University of Minnesota. His work focuses on applying design principles to healthcare, particularly in the field of organ transplantation. With over 68 research outputs throughout his career, he has established himself as a specialist in human-centered design within medical contexts. Chu's research interests center on human-centered design, design and health, multilingual design, user experience design, and visual communication. His work particularly emphasizes patient-centered approaches to complex healthcare challenges, with significant contributions to transplant medicine. He has developed innovative tools and systems to help patients navigate the complex organ transplant process, focusing on decision support, information accessibility, and patient empowerment. Analysis of Chu's recent publications reveals a strong trend toward patient-centered design solutions for transplant candidates. His work consistently addresses the information needs of patients facing organ transplantation, developing tools that help them understand program performance, make informed decisions about transplant centers, and navigate the complex medical landscape. His research bridges design theory with practical healthcare applications, creating tangible tools that improve patient experiences in high-stakes medical situations. Horace T. Morse - University of Minnesota Alumni Association Award for Outstanding Contributions to Undergraduate Education (2018) Outstanding Teaching Award (2013) Chu has secured significant research funding for projects related to patient-centered design in transplant medicine. His three major funded projects include 'Creating a patient-centered report card for solid organ transplant candidates' (2019-2020), the same project funded earlier by NIH (2016-2017), and 'Smart House, Livable Community, Your Future' (2010-2011). These projects demonstrate his consistent focus on applying design principles to improve healthcare experiences and outcomes. While specific lab information isn't provided in the available text, Chu's collaborative work suggests he leads or participates in interdisciplinary teams combining design expertise with clinical transplant knowledge. His research outputs consistently involve collaboration with medical professionals, transplant specialists, and healthcare researchers, indicating a team-based approach to solving complex healthcare design challenges.

Roman HovorkaView profile

Professor

• Diabetes Technology
• Automated Insulin Delivery
• Artificial Pancreas Development
• +4 more

Professor Roman Hovorka is affiliated with the Institute of Metabolic Science at the University of Cambridge, where he leads research in diabetes technology and artificial pancreas development. He is a Professor of Metabolic Technology in the Department of Paediatrics, focusing on clinical testing and optimization of automated insulin delivery systems. His research spans diabetes technology , closed-loop systems , and metabolic modeling , integrating subcutaneous glucose monitors, control algorithms, and insulin pumps. Recent work examines ultra-rapid insulin analogs , perioperative glucose management , and gut starch turnover in Type 2 Diabetes. Key trends in his publications highlight advancements in hybrid closed-loop systems , real-world efficacy , and personalized glucose targets , with a focus on pediatric, adolescent, and postpartum populations. His team includes Dr Charlotte Boughton, Ms Josephine Hayes, and others. Funding Sources: JDRF Diabetes UK Helmsley Trust H2020 NIDDK NIHR NIH FP7 Scientific Awards: Summer Studentship Award His work emphasizes clinical trials , device safety , and patient-reported outcomes , particularly in improving sleep quality and reducing caregiver burden. Labs include the Metabolic Research Laboratories and collaborations with Cambridge hybrid closed-loop systems .

Summer V. AllenView profile

Assistant Professor

• Patient experience
• Patient engagement and activation
• Minimally disruptive medicine
• +7 more

Summer V. Allen, M.D. is an Assistant Professor of Family Medicine and Consultant in the Department of Family Medicine at Mayo Clinic, Rochester, Minnesota. Her career integrates clinical practice with a robust research portfolio aimed at improving patient experience, patient engagement, and the design of minimally disruptive, patient-centered health-care-delivery models. She is also nationally recognized for her work in women’s health and breast-cancer screening shared decision-making. Education & Training M.D., Mayo Medical School, Mayo Clinic College of Medicine, 2007 Residency, Family Medicine, Mayo School of Graduate Medical Education, 2010 B.S., Nutritional Sciences, University of Florida, 2003 B.A. coursework, Baylor College of Medicine & Rice University (MPF program), 2002 Research Focus Dr. Allen’s scholarship centers on three inter-related themes: (1) patient experience and activation , ensuring patients are informed partners in their care; (2) minimally disruptive medicine , reducing treatment burden for people with multiple chronic conditions; and (3) health-care-delivery innovation , redesigning systems to be more responsive to patient goals. She has particular expertise in breast-cancer screening shared decision-making, digital-health equity for rural populations, and measurement of treatment burden. Honors & Awards 2024 Top Doctor, Minnesota Monthly Multiple Top Performing Provider Patient Experience Awards (2020, 2021, 2022) Family Medicine Research Awards—Silver (2020) & Bronze (2013) Robert Frank Avant, M.D. Resident Leadership Award (2010) Tomorrow's Leader Award Scholarship, AAFP (2006) Grants & Advising Dr. Allen has served as co-investigator or consultant on several NIH and foundation-funded projects focused on rural digital-health interventions, diabetes care disparities, and cancer survivorship care models. She mentors residents and junior faculty in quality-improvement and health-services research methods and is a standing member of the Mayo Clinic Cancer Survivorship Program and the Communication in Healthcare Leadership Faculty Committee. Labs & Teams She collaborates closely with the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, the Cancer Survivorship Program, and the Office of Mayo Clinic Experience, leading multi-disciplinary teams that include health-services researchers, data scientists, nurses, and patient partners.

• Clinical Psychology
• Guidance and Psychological Counseling
• Internet-Based Mental Health Interventions
• +5 more

ÖMER ÖZER serves as Assistant Professor at Anadolu University's Open Education Faculty, Department of Social Services and Counseling since 2022, following roles as Lecturer (2017-2022) and Expert (2013-2017) in the Faculty of Education. His academic trajectory demonstrates progressive specialization in clinical psychology and counseling within Turkish higher education. His educational foundation includes: Doctorate in Guidance and Psychological Counseling, Ankara University (2014-2020) Master's in Guidance and Psychological Counseling, Tokat Gaziosmanpaşa University (2010-2014) Associate Degree in Law, Anadolu University Open Education Faculty (2012-2014) Bachelor's in Educational Sciences, Karadeniz Technical University (2005-2009) ÖMER ÖZER's research centers on internet-based mental health interventions, with particular expertise in cognitive behavioral therapy applications, virtual reality exposure, and transdiagnostic approaches for university populations. His work bridges clinical psychology with digital innovation, focusing on accessibility and effectiveness of online counseling services while addressing social anxiety and student mental health challenges through evidence-based technological solutions. Analysis of his 2024-2025 publications reveals a decisive shift toward transdiagnostic digital platforms like UNIPDES, rigorous usability testing of mental health apps, and critical examination of counselor perspectives on teletherapy. These works demonstrate interdisciplinary integration of psychology, education technology, and clinical implementation science, establishing him as a key contributor to digital mental health infrastructure in academic settings. No scientific awards are documented in available records. His grant portfolio features significant TUBITAK-funded projects including 'VRelax - Virtual Reality Psychological Support System' (2019-2020) and 'Okul Psikolojik Danışmanı Bilim Okulu' (2016-2019), alongside Erasmus collaborations like 'School as a Wheel of Togetherness' (2018-2021). These initiatives demonstrate sustained leadership in developing school-based counseling frameworks and technology-enhanced interventions, though specific student supervision details remain unreported. ÖMER ÖZER operates within collaborative research teams focused on mental health technology development, notably contributing to the 'Bi'Kilo' weight management application and UNIPDES transdiagnostic platform. His current work integrates psychologists, computer scientists, and educators to advance digital therapeutic solutions within Turkish university counseling ecosystems.

Marcel KyasView profile

Assistant Professor

• Computer Engineering
• Smart Home Systems
• Embedded Systems
• +4 more

Marcel Kyas is an Assistant Professor in the Department of Computer Systems and Telematics under the School of Computer Science. His research focuses on the intersection of smart home technologies, firmware automation, and network reliability. Research Interests: Designing robust firmware update mechanisms for heterogeneous smart home devices Evaluating trade-offs between energy efficiency and user convenience in smart home systems Testing cyber-physical resilience under network disruptions (e.g., DoS attacks on smoke detectors) User-centric metrics for smart home device usability Affiliations: Active member of research projects including RIOT, VIVE media, and X-CHECK. Previously involved in the Einstein Center Digital Future (ECDF) and SAFEST initiatives.

• Human-Centered AI
• Virtual and Augmented Reality
• Social Robotics
• +6 more

Giuliana VITIELLO is a Full Professor at the Department of Computer Science, University of Salerno. Her research focuses on Human-Centered AI, Social Robotics, Virtual/Augmented Reality, and Gender-Inclusive Language Technology. She has contributed to the design of AI-based tools for institutional communication, therapeutic robotics, and immersive educational environments. Current affiliation: University of Salerno Email: gvitiello@unisa.it Office: Fisciano Campus, Building F2, Room 083 Her recent publications highlight trends in: AI ethics and inclusivity Robot-assisted cognitive therapy Metaverse collaboration tools IoT-driven healthcare systems Immersive educational applications

Mette Trøllund RaskView profile

Associate Professor

• Functional Somatic Disorders
• Persistent Physical Symptoms
• Primary Care Research
• +5 more

Mette Trøllund Rask serves as Associate Professor and Senior Researcher at the Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Denmark. Her research focuses on functional somatic disorders and persistent physical symptoms within primary care settings, with particular emphasis on developing and evaluating interventions for patients with medically unexplained symptoms. Her research interests span several critical areas in psychosomatic medicine: Functional somatic disorders and medically unexplained symptoms Digital health interventions for symptom management Qualitative studies of patient experiences with persistent symptoms Systematic reviews of behavioral interventions General practice and primary care clinical management Cross-cultural comparisons of symptom presentation and management Her recent publication record demonstrates a consistent focus on systematic reviews and qualitative methodologies examining persistent physical symptoms, with increasing emphasis on digital health solutions. Her work frequently explores the intersection of psychological factors and physical symptom presentation, particularly in primary care contexts across European settings. Dr. Rask is actively involved in several significant research projects: Principal Investigator for 'My symptoms: Support for general practice' (2025-2028), developing a digital self-help program for long-term symptoms in general practice Participant in 'Joined Inclusion' project (2021-2023) focused on improving management of persons with functional somatic disorders in Danish job centres Participant in 'Medically unexplained symptoms and functional disorders in primary care' (2011-2013) She regularly presents her work at conferences and workshops, with recent activities including presentations on personalized interventions for persistent somatic symptoms and participatory design of patient support programs. Her research has established important connections between personality traits, symptom presentation, and effective management strategies for functional disorders in primary care settings.

Ruth FongView profile

Teaching Professor

• Computer Vision
• Machine Learning
• Explainable AI
• +3 more

Ruth Fong is a Teaching Professor in the Department of Computer Science at Princeton University since July 2021. Her academic journey includes a Ph.D. in Engineering Science (2020) and an M.Sc. in Neuroscience from the University of Oxford , where she was funded by the Rhodes Trust and Open Philanthropy . She completed her B.A. in Computer Science at Harvard University . Research Focus: Computer Vision, Machine Learning, Explainable AI (XAI), ML Fairness, Human-Computer Interaction (HCI) Key Techniques: Post-hoc model analysis, interpretable-by-design architectures, interactive visualization tools, concept-based explanations Her 15 most recent publications (2023-2025) span topics in interactive explainability, gender artifacts in datasets, concept-based explanation frameworks (UFO, ELUDE), and real-world AI trust dynamics. Collaborative work with Olga Russakovsky 's Visual AI Lab appears prominently. Scientific Recognition: Rhodes Scholarship (2015) Open Philanthropy AI Fellowship (2018) Princeton Engineering Council Teaching Award (2025) Keller Center Summer Course Development Grant (2025) CHI Honorable Mention (2023) As director of Princeton's Looking Glass Lab , she mentors students like Indu Panigrahi and Sunnie S.Y. Kim . Her teaching portfolio includes COS324 (Machine Learning) and COS126 (Intro CS) , where she implemented an open-ended final project gallery.

• Product Design
• Human-Computer Interaction
• User-Centered Design
• +4 more

Hugh Pizey is a Lecturer in Design-Product Design Engineering at Glasgow School of Art . His work bridges product design, human-computer interaction, and speculative design, with a focus on telecare and co-design methodologies. Research interests include telecare systems , user-centered design, design fiction, and the intersection of art and healthcare technology. His publications emphasize collaborative innovation, digital transition in care, and community-engaged design practices. Key publication trends involve projects like teleWEAR (2012) and BodyGuard (2015), which explore user-supplier collaboration, wearable telecare devices, and ethical design in healthcare. Exhibitions (2001–2015) reflect his artistic contributions to design theory and speculative narratives.

Sybille CaffiauView profile

Associate Professor

• Human-Computer Interaction
• Smart Home Systems
• End-User Development
• +4 more

Sybille Caffiau serves as an Associate Professor in the Computer Science Department at the University of Grenoble Alpes, France, where she is affiliated with the Grenoble Computer Science Laboratory (LIG) within the College of Engineering. Her research focuses on Human-Computer Interaction (HCI) with specializations in smart home systems, end-user development, and voice-based interaction technologies. She maintains an active research program through the Human-Computer Interaction Engineering Team (IIHM/ECMI). Her primary research interests center on making smart home technologies more accessible through innovative interaction paradigms. Key areas include context-aware programming languages like CCBL (Cascading Contexts Based Language), voice interface design for ambient assisted living, tactile feedback mechanisms, and task model comprehension. Her work bridges theoretical HCI principles with practical applications in real-world smart home environments, particularly focusing on user-centered design approaches that empower inhabitants as developers of their own living spaces. Analysis of her recent publications reveals a consistent focus on improving end-user programmability in smart homes through novel language design (CCBL), empirical validation of voice interfaces, and educational frameworks for HCI engineering. Her research demonstrates strong interdisciplinary connections between interaction design, programming language theory, and accessibility considerations, with particular emphasis on creating systems that accommodate diverse user needs including elderly populations and people with visual impairments. Through projects like SWEET-HOME and VocADom, Caffiau has contributed significantly to voice-based interaction in smart home environments, developing corpus collections and evaluating system performance against user experience metrics. Her work on educational frameworks for HCI engineering demonstrates commitment to advancing pedagogy in the field through structured case studies and practical teaching methodologies.

• Requirements Engineering
• Software Engineering
• Customer Value Creation
• +4 more

Marjo Kauppinen serves as Professor of Practice in Software Engineering within Aalto University's Department of Computer Science, leading research at the intersection of requirements engineering and customer value creation. Her two-decade career focuses on translating user needs into effective digital services through roadmapping and solution planning methodologies. Her research trajectory demonstrates a strategic evolution from foundational requirements engineering toward contemporary ethical AI challenges. Recent work (2020-2025) pioneers frameworks for integrating transparency and explainability requirements into AI development, addressing critical gaps between ethical guidelines and practical implementation. Concurrently, she maintains active contributions to software ecosystem research, examining planning-phase dynamics and minimum viable product impacts. Key publication trends reveal three interconnected research streams: (1) Ethical AI requirements specification, (2) Software ecosystem governance, and (3) Continuous value validation through experimentation. This triad reflects her consistent focus on bridging theoretical requirements processes with real-world business value creation. Her scholarly recognition includes: Best Paper Award at the 11th International Conference on Requirements Engineering (2007) Distinguished Paper Award at the 15th International Conference on Requirements Engineering (2011) Kauppinen actively mentors master's thesis students while contributing to academic discourse through program committee roles at major requirements engineering conferences and editorial board membership for the Requirements Engineering Journal. Her leadership extends to the Software and Service Engineering research group where she drives collaborative projects examining emerging software development paradigms. Embedded within Aalto's Department of Computer Science, her work maintains strong industry connections through practical case studies examining real-world implementation challenges across healthcare, public sector, and commercial software ecosystems.