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Kelly Fagan RobinsonView profile

Assistant Professor

• Medical Anthropology
• Disability Studies
• Communication Theory
• +6 more

Dr. Kelly Fagan Robinson is an Assistant Professor in Medical Anthropology at the University of Cambridge, affiliated with Clare Hall and the Department of Social Anthropology. Her research examines how social relations, communication practices, and institutional structures create epistemic dissonances that marginalize individuals categorized as disabled, autistic, or migrants. University of Cambridge Clare Hall Department of Social Anthropology Early Cancer Research Institute Her work spans medical anthropology, disability studies, and policy analysis, focusing on the material ecologies of policy failures, communication inequalities in cancer research, and multimodal methodologies rooted in Deaf values. She lectures on non-normal ways of being, multimodal attention techniques, and communication differences. Research Projects: Elusive Risks, Communication Faultlines, Shared Risk - ACED Teaching: Multimodal Communication, Epistemic Justice, Deaf-Centered Methodologies Dr. Robinson holds an NVQ 6 in British Sign Language, emphasizing practical engagement with Deaf communities. Her publications analyze Deaf epistemologies, translanguaging in performance, and institutional barriers to inclusivity.

Thad StarnerView profile

Professor

• Wearable Computing
• Human-Computer Interaction (HCI)
• Augmented Reality
• +7 more

Thad Starner is a Professor in the College of Computing at Georgia Institute of Technology and Technical Lead/Manager on Google's Glass. He directs the Contextual Computing Group (CCG), co-founded the Animal Computer Interaction Lab, and contributes to Georgia Tech's Ubicomp Group and Brainlab. A wearable computing pioneer since 1993, he has over 500 publications and 80 issued U.S. patents. Coined 'augmented reality' in 1990 Developed CopyCat for ASL learning in deaf children Invented Passive Haptic Learning for skill acquisition His research spans wearable interfaces for Deaf-hearing communication, dolphin interaction systems (CHAT), dog-handler communication (FIDO), and brain-computer interfaces for ALS patients. Current projects focus on optical aging simulation, XR input methods, and animal behavior telemetry. Recent publications (2023-2025) explore AR display ergonomics, AI-augmented reasoning, sign language recognition, and animal-computer interaction. His work has been featured in 60 Minutes, BBC, National Geographic, and Time Magazine. CHI Academy (2017) Lemelson-MIT Prize finalist White House Champions of Change finalist He advises graduate students in wearable systems and teaches AI and prototyping courses. His lab developed the Perceptive Workbench for gesture tracking and created early Eigenfaces research for face recognition.

Susan SayehliView profile

Associate Professor

• Psycholinguistics
• Second Language Acquisition
• Neurocognitive Linguistics
• +3 more

Susan Sayehli is an Associate Professor at the Department of Swedish Language and Multilingualism , Stockholm University. She specializes in psycholinguistics and second language acquisition, with a focus on crosslinguistic influence and morphosyntactic processing. Research Interests: Neurocognitive aspects of language learning Focus intonation development in Swedish children Policy impact on SFL (Spanish/French/German) education ERP and eye-tracking methodologies for language processing Urban-rural educational disparities in language programs Current Projects: TAL – Alignment study on oral proficiency in Swedish schools Att lära sig fokusera – Intonation perception in Stockholm/Skåne children Prior Projects: SWOP2 – Swedish word order processing in L2 learners PSUII – Precursors of sign use in intersubjectivity

Clara ChengView profile

Professor

• Social Cognition
• Stereotyping and Prejudice
• Implicit Bias
• +3 more

Dr. Clara Cheng serves as the Interim Associate Dean of Faculty Professional Development, Director of the Undergraduate Psychology Program, and Professor of Psychology at Carlow University. Her roles include overseeing faculty development, directing the Psychology program, and teaching statistics and social psychology in flipped and online formats. She advises the Carlow chapter of Psi Chi, which she co-founded in 2013, and is a certified therapy team member with her mini labradoodle, Mochi. Dr. Cheng holds an Hon BSc in Psychology (2000) from the University of Toronto and MA (2002) and PhD (2006) in Social Psychology from The Ohio State University. She also earned certificates in American Sign Language and Online Teaching with a focus on accessibility. Her research focuses on social cognition, stereotyping, implicit bias, and culturally informed teaching methods. She contributed to the APA’s college teaching guide and frequently addresses racism and implicit bias in campus workshops. Her awards include the Sisters of Mercy Award for Advising (2020), Center for Digital Learning Fellowship (2017), and multiple teaching honors from Ohio State. Dr. Cheng’s scholarship spans over two decades, with notable contributions to implicit bias measurement, Buddhist coping mechanisms, and cross-cultural identity formation. She actively serves as Vice President for Resources for the Society for the Teaching of Psychology, promoting pedagogical innovation and inclusivity. Her advising and grants include fostering student honor societies and accessibility initiatives. Her 'therapy team' with Mochi underscores her commitment to mental health. Collaborative work with international researchers highlights her global impact in social and cultural psychology.

Leah FindlaterView profile

Associate Professor

• Accessibility
• Human-Centered AI
• Human-Computer Interaction
• +3 more

Leah Findlater is an Associate Professor in the Department of Human-Centered Design & Engineering at the University of Washington (College of Engineering). She also holds adjunct and affiliate appointments in Computer Science & Engineering and Disability Studies, respectively, and serves as Associate Director of UW CREATE (Center for Research and Education on Accessible Technology and Experiences). Since 2021, she has led a research team in AI and accessibility at Apple. Her research focuses on creating adaptive technologies that accommodate individual needs, particularly for people with disabilities. Key areas include touchscreen personalization, machine learning interfaces, and sound recognition systems for deaf and hard-of-hearing users. Funding sources include NSF, DoD, and major tech companies. Recent work explores AI-driven tactile graphics, visual privacy management for blind users, and sound recognition systems. Her research combines lab studies, field deployments, and qualitative methods. NSF CAREER Award (2014) She advises through the Inclusive Design Lab, emphasizing mixed-methods research and collaborations with disability communities.

Na'ama Pat-ElView profile

Professor

• Comparative Semitic Linguistics
• Historical Linguistics
• Syntax
• +2 more

Na'ama Pat-El is a Professor in the Department of Middle Eastern Studies at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Middle Eastern Languages and Cultures Graduate Studies Committee (MELC GSC). She holds a Ph.D. (2008) in Semitic Philology from Harvard University, preceded by studies at Hebrew University under Gideon Goldenberg and Harvard under John Huehnergard. Education: Ph.D., 2008, Harvard University (Semitic Philology) B.A. and M.A., Hebrew University of Jerusalem Her research focuses on Comparative Semitic Linguistics, Historical Linguistics, Syntax, and Language Contact , with a particular emphasis on syntactic change and morphological evolution. She investigates phenomena such as the development of verbal paradigms, plural morphemes, and copulae across Semitic languages, including Akkadian, Hebrew, and Aramaic. Recent publications address topics like the nondevelopment of third-person nominative pronouns in Semitic perfect/stative paradigms, the diachronic shift of East Semitic subordination markers into West Semitic indicative markers, and the reevaluation of Hebrew 'sign' terminology through epigraphic and comparative evidence. Her work also challenges assumptions about paired body part gender assignment in Semitic languages. Selected Publications (2025–2020) explore: Proto-Semitic verbal morphology Historical syntax in Akkadian and Neo-Assyrian Plural-gender mismatches in Hebrew Substrate influences in Levantine Arabic Biblical text linguistics

Qijia ShaoView profile

Assistant Professor

• Mobile Computing
• HCI
• Ubiquitous Computing
• +7 more

Qijia Shao is an Assistant Professor at The Hong Kong University of Science and Technology (HKUST), specializing in Mobile Computing, Human-Computer Interaction (HCI), and Ubiquitous Computing. He earned his Ph.D. in Computer Science from Columbia University (2024), advised by Prof. Xia Zhou and Prof. Fred Jiang, with prior degrees from Dartmouth College (M.Sc.) and UESTC (B.Sc.). His research focuses on developing unobtrusive systems for human physical/physiological signal sensing, integrating machine learning, signal processing, and hardware design to address societal challenges in healthcare, education, and human-computer interaction. Educational Background: Ph.D., Computer Science, Columbia University (2024) M.Sc., Dartmouth College B.Sc., UESTC Visiting Student, National Chiao Tung University (EECS) Research Assistant, Missouri S&T Research Interests: Deployable systems for human state analysis via physical/physiological signals (e.g., ECG, movement) Generalizable AI algorithms for low-overhead data interpretation Hardware-software co-design for imperceptible sensing Applications in healthcare (e.g., Kangaroo Mother Care monitoring), education, and consumer electronics Awards & Recognition: MobiSys 2024 Best Paper and Demo Awards NSF Funding & Rising Stars Honors ACM UbiComp Gaetano Borriello Award Finalist Editorial Board Member (ACM IMWUT, since 2024) Lab & Collaborations: Director of the Ubiquitous X Lab at HKUST Industry partnerships with Samsung, Snap, and Philips Research International conference TPC roles (MobiSys, SenSys) and keynote speaking engagements

• Urban Planning
• Ethnography
• Literary Studies
• +4 more

Laurent Matthey is an Associate Professor at the University of Geneva's Department of Geography and Environment since 2014. He directs the Urban Planning orientation of the joint UNIGE-HES-SO Master's in Territorial Development and co-directs the UNIGE-EPFL MAS in Urban Planning. His work bridges ethnography and literary studies, examining political issues in urban narrative production through sensitive registers and attentional regimes. Current affiliations: CRESSON team (UMR AAU) since 2023 Active in EspaceSuisse committee and RAMAU network management Research focuses on epistemology of urban planning knowledge , organized into two streams: Planning discourses and narrative studies Ethnography of urban projects His research-creation explores intersections between: Communication and urban planning Fiction and urban planning Narrative and sensitive methods Urban social quality Current projects include "Participez! Neighborhood makers" (FNS Division 1 funding) and completed works like "The narrative making of the city" (FNS-COST 18126) and "Developing housing cooperatives in Greater Geneva" (Interreg V France-Switzerland). He has supervised doctoral students in Geneva, including Hugo Campi ("Flowers to Convince"), Nicole Peccoud ("Social emergency in Geneva"), and Morgane Rudaz ("Feminist collages"). Key scientific contributions appear in GeoHumanities , Planning Theory , and Social Inclusion , with recent emphasis on: AI's role in urban narrative (2024) Decolonial planning approaches (2023) Affective urbanism (2018) Teaching encompasses: Urban geography and ecology (T206059 BGEO) Research-creation seminar (T416007 MDT) Creative methods in metropolitan foresight Professional engagements include urban quality studies for Geneva's Urban Planning Office and Lausanne's Roads Department. He has co-authored foundational texts on Swiss urbanism with Christophe Mager and David Gaillard, exploring topics like "Urbanism fictionnel" (2011) and "Being an urban planner" (2016).

Richard J. SenghasView profile

Professor

• Linguistic anthropology
• Linguistics of signed and spoken languages
• Social anthropology
• +3 more

Richard J. Senghas is a Professor of Anthropology at Sonoma State University . His work bridges linguistic anthropology and Deaf studies , focusing on the evolution of Nicaraguan Sign Language (ISN) and sociocultural dynamics in intentional communities. Education BA, University of Massachusetts (Amherst), 1978 MA, University of Rochester, 1994 PhD, University of Rochester, 1997 His research examines how language emergence intersects with identity formation , community development , and political factors . He has published extensively on ISN’s development, sociolinguistic variation in sign languages, and cybernetic models of language change. Key publications include works in The Routledge Handbook of Linguistic Anthropology (2017), Annual Review of Anthropology (2002), and edited volumes on Deaf communities. His 2017 chapter explores communicative practices in sign languages, while older works analyze ISN’s birth and sociolinguistic diversity in ASL. Scientific Awards Edward Sapir Book Prize, Society for Linguistic Anthropology (2001) As a California State University Academic Senate representative, he advocates for academic governance. Collaboratively, he works with his sister Ann Senghas (Barnard College) and other scholars like Judy Pyers and Lorraine Monaghan .

Hao YangView profile

Assistant Professor

• Trustworthy Machine Learning
• Transportation Safety
• Transportation Equity
• +4 more

Hao Yang is an Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University, with dual affiliations at the Johns Hopkins Data Science and AI Institute and the Johns Hopkins Institute for Assured Autonomy. His research develops Trustworthy Machine Learning methods to enhance urban mobility systems, focusing on traffic safety, equity, and sustainability through ethical AI and human-machine cooperative systems. Yang earned dual bachelor's degrees in Electrical and Computer Engineering from Beijing University of Posts and Telecommunications and the University of London, followed by a Ph.D. in Civil Engineering (Transportation) from the University of Washington. His educational background bridges telecommunications, electrical engineering, and transportation systems. His research integrates spatio-temporal modeling, assured autonomous systems, and multimodal representation learning to address transportation equity and safety. Key projects include edge-AI-powered traffic surveillance, real-time crash identification, and cooperative signal assistance for vulnerable road users. His work emphasizes ethical AI deployment in cyber-physical infrastructure to create sustainable urban mobility solutions. Recent publications reveal a strategic shift toward large language models and multimodal AI for transportation challenges, with strong emphasis on explainability, reliability, and equity in traffic crash prediction, flow forecasting, and autonomous driving systems. This evolution demonstrates his commitment to adapting cutting-edge AI for real-world transportation problems. Yang's scientific contributions have earned significant recognition: Michael Kyte Outstanding Student of the Year Award (2022) High-Value Research Award from AASHTO (2022) Best Paper Award from TRB Information Systems Committee (2023) Best and Outstanding Dissertation Awards (2024) IEEE DTPI Outstanding Paper Award (2022) TRANSFOR22 Data Competition 2nd place (2022) ASCE Bridges Photo Contest First Place (2021) He actively mentors graduate researchers and seeks 2-3 PhD students for Fall 2025 to advance trustworthy AI in transportation. His research is supported by NSF, USDOT, and AASHTO grants including the Real-Time Truck Parking Information System project that received the High-Value Research Award. Current work focuses on edge-AI for traffic safety and multimodal data integration. Yang leads research within Johns Hopkins' Data Science and AI Institute and Institute for Assured Autonomy, collaborating with Transportation Research Board committees. His lab develops real-time perception systems using edge computing and representation learning, with active projects on non-motorized user safety and equitable traffic management for people with disabilities.

Panagiotis PapapetrouView profile

Professor

• Data Science
• Machine Learning
• Time Series Analysis
• +5 more

Panagiotis Papapetrou is a Professor of Data Science and Deputy Head of Department at the Department of Computer and Systems Science , Stockholm University (since 2017). He also serves as Head of the Data Science Research Group and holds an Adjunct Professor position at Aalto University (Finland). As a Board Member of the Swedish Association for Artificial Intelligence (SAIS) , he contributes to shaping AI research directions in Sweden. Research Pillars: Algorithmic data mining, interpretable machine learning, time series classification, and health informatics Key Projects: AI for societal fairness, digital twins for smart buildings, EXTREMUM for explainable medical AI, and e-learning personalization Teaching Legacy: Developed courses in Data Mining (HT2013-2022), Machine Learning (VT2022-2024), and Health Informatics (VT2018-2021) His work focuses on interpretable AI for healthcare applications, particularly through counterfactual explanations for time series classification and forecasting. This includes developing methods like Glacier for constrained counterfactuals and Ijuice for k-justified explanations. His research also explores multimodal clustering of sepsis patient records and federated learning approaches for ICU mortality prediction. Recent scientific contributions include: CounterFair (2024): Group fairness analysis via counterfactual burden metrics M-ClustEHR (2024): Multimodal clustering for electronic health records COMET (2024): Constraint-based glucose forecasting explanations Temporal pattern mining (2024-2025): Enhanced forecasting models through decomposition Z-Time (2024): Interpretable multivariate time series classification His editorial leadership includes: Action Editor at Machine Learning Journal (since 2024) Action Editor at Data Mining and Knowledge Discovery (since 2018) Guest Editorial Board for ECML/PKDD Journal Track (2014-2019)

Gabriella CasalinoView profile

Assistant Professor

• Computational Intelligence
• eHealth
• Data Stream Mining
• +5 more

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

Edna AndrewsView profile

Professor

• Cognitive Neuroscience
• Linguistics
• Semiotics
• +7 more

Edna Andrews is the Nancy & Jeffrey Marcus Distinguished Professor of Slavic and Eurasian Studies and Professor of Linguistics and Cultural Anthropology at Duke University. She serves as Director of the Program in Linguistics, Director of Undergraduate Studies in the Linguistics Program, and Director of FOCUS, Duke's signature first-year seminar program. Her interdisciplinary work bridges Slavic studies, linguistics, anthropology, and cognitive neuroscience. Dr. Andrews earned her Ph.D. from Indiana University at Bloomington in 1984 and holds an honorary doctorate from St. Petersburg State University (Russia). Her academic journey has evolved from traditional Slavic linguistics to pioneering work at the intersection of language and brain sciences, reflecting her commitment to interdisciplinary scholarship. Professor Andrews' research focuses on cognitive neuroscience and multilingualism, semiotics (particularly Peircean and Lotmanian theories), and the neural basis of language processing. Her work examines how the brain processes multiple languages, the relationship between music and language cognition, and the semiotic foundations of linguistic structures. She has pioneered longitudinal fMRI studies of second language acquisition, challenging traditional linguistic models that often overlook the multilingual reality of most humans. Her research program has produced significant insights into how multilingualism affects brain structure and function, with implications for education, cognitive aging, and language rehabilitation. Andrews' work uniquely integrates theoretical linguistics with empirical neuroscience, creating a more comprehensive understanding of human language as situated within cultural and biological contexts. University Scholar/Teacher Award (2013) Richard Lublin Teaching Award Through her leadership of the Slavic & Eurasian Language Resource Center and numerous federally-funded grants from the U.S. Department of Education, Professor Andrews has secured significant research funding to advance understanding of language acquisition and multilingualism. Her collaborative approach brings together linguists, neuroscientists, anthropologists, and educators to tackle complex questions about language and the brain. Professor Andrews leads research teams through the Duke Institute for Brain Sciences and has developed innovative programs like Duke Intense Global (DIG), which combines intensive language training with neuroscience research. Her work with the Bass Connections in Brain & Society Research Team fosters interdisciplinary collaboration among students and faculty across multiple departments.

Hongkai WenView profile

Professor

• Machine Learning Systems
• Artificial Intelligence
• Data Science
• +5 more

Hongkai Wen is a Professor (Chair in Machine Learning Systems) in the Department of Computer Science at the University of Warwick, UK. He holds dual appointments as a Fellow of the Alan Turing Institute (serving as Independent Scientific Advisor for BridgeAI and member of Turing Research Ethics team) and previously worked as Senior Research Scientist at Samsung AI Centre Cambridge and postdoctoral researcher at Oxford University. Education: Computer Science, Keble College, University of Oxford Research Focus: Develops intelligent multi-modal perception systems for real-world deployment with extreme computational efficiency. Core expertise spans ML systems optimization, neural architecture search, and cross-disciplinary applications in robotics, urban mobility, and wearable/IoT security. Pioneered event-based vision techniques and training-free NAS frameworks. Publication Trends: Recent work (2023-2025) demonstrates accelerating innovation in diffusion model efficiency, on-device AI deployment, and sensor fusion techniques. Dominant themes include computational resource optimization for edge devices, multi-modal temporal modeling, and privacy-preserving spatial analytics, with significant contributions to NeurIPS, ICML, and CVPR venues. Scientific Recognition: Best Paper Award, AutoML Conf 2023 (T-CET) Best Paper Runner-up, SenSys 2024 (AdaFlow) Best Paper Awards: IPSN 2014 & EWSN 2013 1st/2nd Place, Zero Cost NAS Competition (AutoML'22) Mentorship & Funding: Actively supervises PhD candidates through thesis committees at Warwick, Ulster, and Queensland universities. Secured National AI Strategy Fund for Macro Neural Architecture Search research. Recruits annually for PhD positions with scholarships from UKRI, Turing Institute, and industry partnerships. Research Leadership: Heads the AI/ML Systems (AMS) Division at Warwick, directing a 15+ member team developing deployable ML frameworks for mobile/robotic platforms. Maintains active collaborations with Samsung AI Centre and Turing Institute's BridgeAI programme on ethical AI deployment.

• Sociolinguistics
• Pragmatics
• Stylistics
• +6 more

Peter Backhaus is a Professor at Waseda University's School of Education, Tokyo. He is affiliated with the Graduate School of Education and Faculty of International Research and Education, contributing to both academic and societal contexts through interdisciplinary research. Doctor of Philosophy (PhD) from Germany ResearchGate profile verified via institutional email His research focuses on Sociolinguistics, Pragmatics, Stylistics, and Linguistic Landscapes , with a strong emphasis on multilingualism in Japanese public spaces and communication dynamics in eldercare facilities. Key themes include institutional interactions, language policy, and discourse analysis. Recent publications like “Magica Spellings” (2025) and “Care Communication” (2017) highlight his expertise in language contact, policy, and healthcare discourse. His work has been cited over 3,699 times (Google Scholar), with an h-index of 13. 2018 Waseda Research Award recipient for outstanding scholarly contributions He has led research projects funded by JSPS, including studies on Japanese spam language (2013-2016) and immigrant language policies (2008-2010). His teaching portfolio at Waseda University includes courses in English linguistics, sociolinguistics, and communication studies.