Jeffrey K. Mullins is an Assistant Professor in the Department of Information Systems at the Sam M. Walton College of Business, University of Arkansas. His research explores the intersection of emotion, cognition, and ethics in information systems, with a focus on how digital technologies blur boundaries between work and play through gamification and metaverse development. Ph.D. in Information Systems, University of Arkansas Director of Ph.D. Program, Walton College Research interests span: Emotion and cognition in digital environments Ethics of biometric and gamification technologies Metaverse development and Web3 transitions Work-life convergence in IS-enabled contexts His publications in MIS Quarterly , Journal of Business Ethics , and Journal of the Association for Information Systems reflect these themes. Recent work examines AI biometrics policy and immersive learning applications. 2024 Walton College Executive MBA Teacher of the Year 2020 ACM SIGMIS Doctoral Dissertation Award 2016 Outstanding Lecturer Award With over a decade of IT experience at a Fortune 100 firm, he teaches graduate courses in IT management and multivariate analysis while maintaining certifications like ERPsim Level 2 Training.
Kristin A Andrews serves as Professor of Philosophy and York Research Chair in Animal Minds at York University in Toronto, Canada. She is a CIFAR Fellow in the Future Flourishing program and will join the CUNY Graduate Center as Professor in Fall 2025. Her interdisciplinary work bridges philosophy, cognitive science, and animal ethics to investigate nonhuman animal capacities. Her educational background includes a PhD in Philosophy from the University of Minnesota and an MA in Philosophy from Western Michigan University. Professor Andrews' research centers on the cognitive, affective, social, and cultural capacities of nonhuman animals. She pioneers frameworks for identifying social norms in animal communities, arguing these predate human language. Her work spans animal consciousness, morality, legal personhood, and conservation implications—challenging anthropocentric views through empirical and theoretical analysis. She actively develops implications for animal welfare policy and multispecies ethics. Recent publications (2023-2025) reveal three dominant trends: (1) Advocating for the 'All Animals Are Conscious' hypothesis to shift consciousness science's null hypothesis; (2) Developing dimensional frameworks for cross-species normativity studies; (3) Addressing methodological biases like the WEIRD problem in comparative cognition. Her interdisciplinary approach integrates philosophy, primatology, and cognitive neuroscience. Key honors include: York Research Chair in Animal Minds CIFAR Fellowship (Future Flourishing program) Royal Society of Canada’s College of New Scholars membership (2015) Visiting Professorships at LSE (2021-2022), Ruhr-Universität Bochum (2022-2025), and Università Degli Studi di Cagliari (2023) Professor Andrews coordinates the Greater Toronto Area Animal Cognition Discussion Group and serves on the Borneo Orangutan Society Canada board. She co-authored the New York Declaration on Animal Consciousness—endorsed by 39 scholars—and engages public discourse through media like TVO interviews. Her grant activity focuses on CIFAR-funded projects examining animal social cognition and norm evolution. She leads collaborative initiatives including the 'week of animal social norms' research with international teams studying chimpanzees, dolphins, and rats. Her upcoming book on social norm evolution and ongoing work with the OCTOPUS Act advocacy group demonstrate active research expansion into policy applications.
Prof. Dr. Poldi Kuhl is a Professor of Educational Psychology at Leuphana University , Lüneburg, since 2021. Affiliated with the Institute of Psychology in Education (IPE) and the Center for Empirical Research on Language and Education (ERLE) , Kuhl specializes in educational psychology, developmental psychology, and inclusive education. Their research focuses on data-driven decision-making, digital learning platforms, academic language demands, and teacher professional development. Education: Diploma in Psychology (2003) and PhD in Philosophy (2008) from Freie Universität Berlin. Kuhl’s recent work examines how academic language features affect learning outcomes, digital data utilization in primary education, and mental health literacy among teachers. Their publications span topics from virtual reality training tools to inclusive teaching strategies in mathematics. Kuhl’s career includes leadership roles at the Research Data Center (FDZ) at the Institute for Quality Improvement in Education (IQB) and a Junior Professorship at Leuphana University. They have collaborated with institutions like the Universitat Oberta de Catalunya and the Max Planck Institute for Human Development .
Dr. Helena Mentis is Professor and Department Head of Information Science at Drexel University's College of Computing & Informatics. She holds a PhD in Information Sciences from Pennsylvania State University, an MS in Communication from Cornell University, and a BS in Psychology from Virginia Tech. Her research focuses on human-centered computing in healthcare, with emphases on telemedicine, online safety for vulnerable populations, and responsible technology design. Research Interests: Dr. Mentis investigates collaborative technologies for healthcare contexts using sociotechnical frameworks. Her work includes: Developing telemedicine systems for surgical training and rehabilitation Designing cybersecurity safeguards for older adults with cognitive impairments Creating ethical frameworks for computing education Awards & Leadership: US Fulbright Scholar (2021) Former Executive VP/President of ACM SIGCHI Grants & Labs: Secured $1.4M+ in NSF/Mozilla funding for projects like Telemedicine at Scale and Negotiating Cyber Systems Access . Directed UMBC's Center for Responsible and Inclusive Technology and Bodies in Motion Lab.
Dr. Anne Koelewijn is an Assistant Professor leading the Biomechanical Motion Analysis and Creation (BioMAC) group at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) since 2019. Her research bridges biomechanics, computational modeling, and wearable technology to analyze human movement. She holds a Junior Professorship in Computational Movement Science within the Department of Electrical-Electronic-Communication Engineering. Her educational background includes a Doctor of Engineering in Mechanical Engineering from Cleveland State University (focus: prosthesis design and gait simulations), an MSc in Mechanical Engineering (BioMechanical Design specialization), and a BSc in Aerospace Engineering , both from Delft University of Technology. She completed postdoctoral work at École Polytechnique Fédérale de Lausanne on neuromuscular control. Research interests center on human movement optimization , neuromuscular control mechanisms , and in-the-wild movement analysis . Her work integrates musculoskeletal modeling, optimal control theory, and machine learning to study gait adaptations, exoskeleton design, and pathological movement patterns (e.g., Parkinson’s disease). Publications emphasize predictive simulations , wearable sensor technology , and biomechanical energy optimization , with recent advances in radar-based motion capture, inertial pose estimation, and digital twin applications for medical engineering. Promising Scientist Award , International Society of Biomechanics (2023) Best Paper Award , 5th International Symposium on Wearable Robotics (2020) She leads the BioMAC research group, focusing on computational methods for movement science and collaborating internationally on projects involving exoskeletons, injury prevention, and neuroprosthetics.
Professor Trina Myers serves as the Head of School for the School of Information Technology at Deakin University's Faculty of Science Engineering and Built Environment. With extensive experience in academia and research leadership, she plays a pivotal role in shaping IT education and research directions at Deakin. She is also an active member of the Australian Council of Deans of ICT (ACDICT), having served as its immediate past President. Her educational background includes: Doctor of Philosophy in Computer Science from James Cook University Master of Business Administration from James Cook University Master of Information Technology from James Cook University Professor Myers' research focuses on semantic technologies, ontology engineering, Internet of Things, knowledge management, natural language processing, and human-computer interaction . Her work emphasizes interdisciplinary collaboration, bridging technology with fields such as healthcare, marine science, environmental conservation, and business. She has pioneered approaches in academagogy (academic gamification) to enhance online learning engagement, particularly for adult learners. Her IoT research has significant applications in healthcare space optimization, environmental monitoring, and resource management. Her recent publications demonstrate a strong trajectory in applying AI and IoT technologies to solve real-world problems, particularly in healthcare, education, and resource optimization. There's a clear pattern of interdisciplinary work connecting computer science with healthcare, education, and environmental science. Her research increasingly focuses on human-centered technology design, especially for vulnerable populations like adolescents with autism spectrum disorder. Her notable achievements include: Fellow of the Australian Computer Society (2023) Australian Awards for University Teaching (AAUT) Teaching Award (2020) Women in IT Professional Leadership Award Finalist (2020) Asia-Pacific International Triple E Entrepreneurial Educator of the Year Award (1st runner-up, 2020) Australian Computer Society, National Digital Disruptor ICT Educator of the Year (2019) Professor Myers actively supervises doctoral students across diverse research areas including gamification in language learning, brain tumor analysis using deep learning, AI in higher education, AI for refugee resilience, data integrity in edge environments, and quantum-driven satellite networking. She has secured significant research funding, including a recent grant for "Indiginizing ICT Curriculum: A Starter Framework for the Community of Practice" through the Australian Council of Deans of ICT. Her teaching philosophy emphasizes active learning methodologies, Process Oriented Guided Inquiry Learning (POGIL), blended learning, and collective intelligence approaches.
Catherine D’Ignazio is an Associate Professor at the Department of Urban Studies and Planning , School of Architecture and Planning , Massachusetts Institute of Technology (MIT) . She serves as the director of the Data + Feminism Lab , which focuses on feminist technology, data literacy, and social justice. Her work spans AI bias , gender-based violence , and equitable urban planning , with a strong emphasis on intersectional approaches to data science. Education : She holds an MS from the MIT Media Lab , an MFA from the Maine College of Art , and a BA in International Relations from Tufts University (Summa Cum Laude, Phi Beta Kappa). D’Ignazio’s research explores the intersection of technology , design , and social justice , particularly through grassroots data activism and feminist AI. Her 2024 book , Counting Feminicide: Data Feminism in Action , analyzes how communities collect and use data to challenge gender-related violence. Earlier, her 2020 book Data Feminism (co-authored with Lauren Klein) outlines ethical data science practices. Scientific Awards include recognition from the Tanne Foundation , Turbulence.org , and the Knight Foundation . Her art projects have been exhibited at venues like the Venice Biennial and the ICA Boston . She teaches courses such as Interactive Data Visualization & Society and Urban Science for Public Good , emphasizing participatory design and critical data literacy . Her lab collaborates with global networks like the Design Justice Network and Data Against Feminicide .
Jerad Moxley is an Assistant Professor of Psychology at Weill Cornell Medical College since 2022. His academic work bridges psychology and gerontology, focusing on mental health, cognitive functioning, and technology adoption in aging populations. He contributes to interdisciplinary research in medicine and public health, particularly in dementia care, palliative care, and aging with chronic conditions like HIV. Ph.D., Florida State University (2016) M.A., Murray State University (2008) B.A., Murray State University (2004) Dr. Moxley’s research explores the psychological and social dimensions of aging, including loneliness, pain disparities, and self-perceptions of aging. He investigates how technology can enhance aging in place and improve well-being for older adults with cognitive impairments or HIV. His work often integrates cross-cultural perspectives, as seen in studies on Puerto Rican older adults and racial/ethnic differences in pain and mental health outcomes. The trends in his publications highlight interdisciplinary approaches to aging, combining psychology, public health, and technology. Recent studies address elder neglect interventions, tech adoption barriers, and the role of social support in physical and cognitive health. Earlier work examines stress-cognition interactions, late-onset depression, and cognitive aging through chess skill and decision-making paradigms. Dr. Moxley has secured significant funding from the National Institute on Aging and the Administration for Community Living. Grants include projects on pain in later life, collaborative care models for serious illness, and technology-based interventions for aging adults with HIV. He serves as Co-Investigator and Key Personnel in initiatives like the CREATE Center and ENHANCE Center, focusing on aging and technology enhancement.
Susanne Narciss is a Professor at the Psychology of Learning and Instruction department of Technische Universität Dresden, leading the Center of Tactile Internet with Human in the Loop (CeTI). Her research focuses on error processing in educational contexts, with 15 recent publications analyzing error climates, feedback strategies, and motivational frameworks. Key Research Areas : Learning from errors/failure, instructional feedback design, affective-motivational responses, error-related metacognition. Methodological Scope : Combines longitudinal studies, experimental designs, and qualitative analyses across K-12, university, and informal learning settings (museums, home contexts). Her work emphasizes context-specific interventions for educators, parents, and students, including error-competency training programs and metacognitive scaffolding tools. Current projects examine vibrotactile feedback systems for motor learning and cultural responsiveness in psychology education. Collaborative Networks : Works with international teams on the International Competences for Undergraduate Psychology model and cyber-physical system pedagogy. Recent Trends : 2025 articles focus on collaborative error processing, scenario-based human-machine interaction, and generative learning tasks in digital environments.
Lucca Geurts is a Senior Lecturer at the Faculty of Industrial Engineering Sciences at KU Leuven, where he is affiliated with the Department of Computer Science. He serves as chairman of the Leuven Centre for Accessible Health Technology, subdivision head of Subdivision 3, Campus Group T Leuven, and Head of Education of the OC Innovative Health Technology. Additionally, he is an active member of DigiSoc – KU Leuven Institute for Digital Society. His research focuses on Technology for Tangible and Playful Interactions, particularly in healthcare applications. Dr. Geurts leads numerous research projects including therapeutic games for children with visual disorders, flexible activity measurement systems, intimate interactive systems, and early-stage glaucoma screening platforms. His work bridges human-computer interaction with accessible health technology, emphasizing user-centered design principles and practical healthcare solutions. Dr. Geurts' publication record demonstrates a consistent trajectory from fundamental interaction techniques to applied healthcare contexts. His recent work shows increasing sophistication in squeeze interactions, emotion regulation through tangible interfaces, and medical applications of interactive technology. The research trends indicate a growing focus on accessible medical diagnostics, therapeutic applications, and user experience in healthcare technology. As an educator, Dr. Geurts teaches across multiple domains including Electronics, Computer Architectures, Health Entrepreneurship, Sensors and Circuits for Healthcare Applications, and Extended Reality. His educational leadership extends to Master's theses and internships in health engineering, reflecting his commitment to training the next generation of healthcare technologists. Committee for Culture, Art and Heritage Faculty Council of Industrial Engineering Sciences Evaluation Committee of the Faculty of Industrial Engineering Sciences POC Advanced Education Faculty of Industrial Engineering Sciences Secretary of the OC Innovative Health Technology Departmental Council for Computer Science Interfaculty Council for Global Development (as substitute member) Dr. Geurts maintains an active research profile with numerous publications in top-tier human-computer interaction conferences and journals. His work shows a clear progression toward increasingly impactful healthcare applications, with strong emphasis on accessibility and user experience in medical technology development.
Valerio Pascucci is a Professor at the University of Utah's School of Computing and a DOE Laboratory Fellow at Pacific Northwest National Laboratory. He directs the Center for Extreme Data Management Analysis and Visualization (CEDMAV) and previously led projects at Lawrence Livermore National Laboratory and University of Texas at Austin. PhD in Computer Science (Purdue University, 2000) MSc in Electrical Engineering (University 'La Sapienza', Rome, 1993) As a pioneer in Big Data Management , Scientific Visualization , and Computational Topology , his work connects topological methods with progressive algorithms to enable interactive exploration of petascale datasets. His research spans climate modeling , neuroscience , materials science , and precision agriculture , focusing on multi-resolution techniques and geometric compression . Recent publications show specialization in web-based visualization and AI-driven analytics for climate data, with emphasis on equity in data access and FAIR data principles . His ViSUS project enables real-time data streaming from supercomputers to desktops, while NAPA explores GPU-based architectures for streaming algorithms. Scientific Awards : Best Paper Award, IEEE Pacific Visualization 2011 Best Application Paper Award, IEEE VIS 2006 DOE Laboratory Fellow He advises numerous graduate students and leads collaborations across national laboratories , universities , and industry . Funded by NSF Grant #2127548 , he develops technologies for exascale computing and geospatial intelligence .
Marisa Exter serves as Associate Professor of Learning Design and Technology within Purdue University's Department of Curriculum and Instruction since 2020, following promotion from Assistant Professor (2013-2020). With 15+ years of software design and development experience, she holds dual expertise in Computer Science (BS/MS) and Instructional Systems Technology (PhD). Her educational foundation includes: PhD in Instructional Systems Technology, Indiana University (2011) MS in Computer Science, Illinois Institute of Technology (2003) BS in Computer Science, Elmhurst College (1999) Dr. Exter's research pioneers transdisciplinary educational innovation , focusing on how design processes transform technology-creation fields like Instructional Design, Computing, and Engineering. She investigates formal and non-formal learning experiences to enhance undergraduate education through interdisciplinary programs, while simultaneously examining online graduate program structures that support adult learners' connection to faculty and peers. Her work integrates heutagogical principles for lifelong learning and rigorously documents design successes/failures through scholarly design cases. Analysis of her 15 most recent publications reveals accelerating focus on dispositional development in computing professions , competency-based curriculum models, and transdisciplinary experience design. Her methodological evolution includes increased use of Q methodology and collaborative autoethnography to capture diverse perspectives in educational innovation. As Purdue PI for a $3M multi-institutional computing competencies grant and co-coordinator of AECT's Summer Research Symposium, she drives national curriculum reform. Her mentorship approach cultivates the Exploring Disruptive Education research family group, which investigates interdisciplinary design processes across technology-rich learning environments. Professional service spans Computing Curriculum 2020 Task Force leadership and ACM/AERA membership. The Exploring Disruptive Education research collective she co-leads operates as an interdisciplinary incubator for educational innovation. This team examines how design thinking transforms learning experiences through technology integration, with particular emphasis on creating connections between formal education and industry practices in computing and engineering fields.
NAKAJIMA, Tatsuo serves as a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Computer Network Engineering. Holding a Doctor of Engineering from Keio University, he has been affiliated with Waseda since 1999 after positions at Japan Advanced Institute of Science and Technology (1993-1999), Cambridge University, and Carnegie Mellon University. His academic profile shows substantial research output with 433 papers and 3,338 citations on Scopus, and 7,604 citations with an h-index of 42 on Google Scholar. Dr. Nakajima's research focuses on Distributed Systems, Embedded Systems, and Ubiquitous Computing, with particular emphasis on virtualization architectures for embedded environments. His work bridges theoretical computer science with practical applications in information appliances, operating systems, and persuasive computing technologies. He has developed innovative systems including SPUMONE (a composition kernel for multi-OS environments), SIGMA System, and SPLiT (a performance optimization library for multicore processors). Analysis of his 15 most recent publications reveals a consistent research trajectory centered on enhancing reliability, security, and performance of embedded and pervasive computing systems. His work shows increasing integration of human factors, particularly in sustainable behavior applications through persuasive technology. The research spans from low-level system architecture to user-centered applications, demonstrating both technical depth and practical relevance. Nokia Research Center, Visiting Research Fellow (2005.04) Dr. Nakajima's research has produced numerous practical frameworks including SPUMONE for multi-OS environments, SPLiT for performance optimization, and persuasive applications like EcoIsland for sustainable behavior. His work on kernel monitoring, anomaly detection, and self-healing systems demonstrates strong focus on system dependability. Current research appears directed toward integrating human factors with embedded systems, particularly in environmental sustainability applications. His laboratory work centers around the SPUMONE project, a virtualization layer for multi-core embedded systems that enables multiple operating systems to coexist with minimal engineering cost. This research environment supports exploration of resource management, security monitoring, and performance optimization in embedded contexts. The work has practical applications in information appliances, smart homes, and pervasive computing environments.
Sarah E. Chasins is an Assistant Professor in the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley, with research spanning programming languages and human-computer interaction. She leads the PLAIT Lab (Programming Languages for Approachable and Inclusive Tools) and serves as a faculty affiliate at the Berkeley Institute for Data Science (BIDS). Her work bridges computer science with social sciences, climate reporting, legal systems, and biological research through extensive collaborations. Dr. Chasins' research focuses on democratizing programming for non-traditional programmers including scientists, social scientists, journalists, and data scientists. Her work emphasizes creating approachable programming tools that help practitioners reach correct programs while understanding, extending, and trusting those programs. She specifically investigates program synthesis, programming tools for scientific domains, and human-centered programming language design. Her research mission aims to make programming a path to a more informed and evidence-driven society rather than just a way to get wrong answers faster. Her recent publications demonstrate a clear trajectory toward making programming more accessible and understandable. The work spans code search techniques, program synthesis approaches, refactoring tools, and studies of how domain experts interact with programming languages. A consistent theme across her research is placing human needs at the center of programming language design and implementation. Dr. Chasins actively mentors PhD students including Justin Lubin, Eric Rawn, Parker Ziegler, Sarah "Slim" Lim, Hellina Hailu Nigatu, David Minh-Duy Cao, and Marlena Preigh. She has previously advised numerous master's and undergraduate students who have gone on to work in both academia and industry. Her teaching includes core courses like CS164 (Programming Languages and Compilers) and specialized courses like CS294-184 (Building User-Centered Programming Tools) and CS39-001 (Technology, Society, and Power). She maintains an active service record in the programming languages community, having served on program committees for major conferences including PLDI, POPL, OOPSLA, and SPLASH. Notably, she co-chaired the Student Research Competition at PLDI 2020 and 2021 and has been involved in organizing workshops focused on programming languages and human-computer interaction.
Anna Vilanova is a Full Professor in Visual Analytics at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), and is associated with the Electrical Engineering department's Signal Processing Systems. Previously, she served as Associate Professor at TU Delft (2013-2019) and Assistant Professor at TU/e (2002-2013). Her research focuses on Visual Analytics for high-dimensional data , explainable AI , and biomedical applications including Diffusion Weighted Imaging, 4D Flow, and Pangenomics. Education: Doctorate in Computer Graphics & Visualization (2001) Master in Computer Science (1997), Universitat Politècnica de Catalunya Research Highlights: Vilanova leads work on Visual Analytics systems for biomedical data, with recent publications in Diffusion MRI modeling , Tractography visualization , Explainable AI frameworks , and Pangenomic variant analysis . Her work bridges dimensionality reduction , uncertainty visualization , and medical imaging applications. Scientific Contributions: NWO-Veni grant (2005): "Visualization of global tensor information for diffusion tensor imaging" NWO-Aspasia grant (2013) Best Poster Award EuroVis (2025) Best Demo/Poster Awards (2022) Leadership & Service: Vilanova serves on the IEEE VIS Steering Committee , was EUROGRAPHICS President (2019-2022), and contributes to conferences like IEEE Visualization and EG-EuroVis . She co-founded the EAISI Health research initiative at TU/e.
