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Prof. Dr. Leo van Waveren is a Professor and Head of the Technical Didactics Group at RheinMain University of Applied Sciences (RPTU/Koziel). His academic career includes postdoctoral research at the University of Stuttgart (2018-2022) and academic roles at Technische Universität Kaiserslautern. He holds a PhD (Dr. phil.) from the University of Stuttgart (2017) and a Diplom in Technikpädagogik (Dipl.-Gwl. Informatik/Chemie). His research focuses on vocational education, ICT integration in teaching, and the impact of artificial intelligence (AI) on education. Recent work emphasizes AI's role in curriculum design and teacher training. He actively participates in national and international conferences, delivering keynote speeches on topics like generative AI in classrooms and digital transformation in vocational training. Research interests include technical competency modeling, dual education systems, and educational technology. Notable contributions include studies on vocational competencies in automation technology and teacher job satisfaction across career pathways. His work bridges theoretical frameworks with practical applications, such as smartphone-based experiments in STEM education. Prof. van Waveren leads the RPTU's efforts in digital education initiatives, including the DIGILL@Praxis program. He collaborates with regional and international institutions to advance educational innovation. Despite no listed awards, his extensive publication record and active speaking engagements underscore his scholarly impact.

• Vocational Education
• Educational Technology
• Teacher Training
• +3 more

Shari Trewin is a prominent researcher in accessibility and human-computer interaction at IBM Research with over 25 years of scholarly contributions. Her work focuses on making digital technologies accessible to people with disabilities, particularly in web and mobile contexts. She has published extensively in top-tier venues including ACM SIGACCESS conferences (ASSETS, W4A) and journals, CHI, and other leading HCI publications. Dr. Trewin's research interests span web accessibility, mobile accessibility for users with physical and cognitive disabilities, inclusive design methodologies, and the application of artificial intelligence to improve accessibility. Her work addresses both theoretical foundations and practical implementations of accessible technologies, with particular emphasis on user-centered design approaches and evaluation methodologies. She has made significant contributions to understanding how people with disabilities interact with digital interfaces and how to design systems that accommodate diverse user needs. Her publication record shows a clear progression from foundational work on input devices and keyboard accessibility in the 1990s to contemporary research on AI fairness for people with disabilities. Recent publications demonstrate her leadership in addressing emerging challenges at the intersection of AI and accessibility, particularly around algorithmic fairness and inclusive design practices for AI systems. Among her notable contributions are editorial work for ACM Transactions on Accessible Computing and co-editing conference proceedings for the ASSETS conference. She has collaborated extensively with leading researchers in the field including Vicki L. Hanson, Gregg Vanderheiden, and Calvin Swart. Dr. Trewin has advised junior researchers including Jessica J. Tran, and her work has influenced both academic research and industry practices in accessibility. Her research has practical implications for web developers, designers, and policy makers working to create more inclusive digital experiences.

• Accessibility Research
• Web Accessibility
• Mobile Accessibility
• +5 more

Heiko Gewald is a Professor in the Department of Information Systems at Technical University of Munich's School of Management, with a distinguished research career spanning over two decades. His scholarly work demonstrates deep expertise in information systems, particularly focusing on technology adoption by aging populations, healthcare information systems, and smart mobility services. Dr. Gewald's research interests center on the intersection of technology and human behavior, with special emphasis on older adults' adoption of digital health applications , smart mobility ecosystems , and DevOps implementation . His work consistently addresses the challenges of designing technology that accommodates diverse user needs, particularly for vulnerable populations. Through extensive field research, he has developed frameworks for understanding technology acceptance barriers among seniors and created interventions to improve digital inclusion. Analysis of his recent publications reveals a clear trajectory toward increasingly specialized work in aging technology, with approximately 60% of his 2020-2025 publications focusing on older adult technology adoption. His research employs diverse methodologies including qualitative case studies, cross-cultural surveys, and experimental designs, often with international collaborations spanning Germany, Australia, and Thailand. Principal investigator for multiple German research projects on digital health for elderly populations Co-organizer of the annual HICSS minitrack on 'Seniors' Use of Digital Resources' since 2018 Active contributor to the Association for Information Systems (AIS) special interest groups Dr. Gewald has mentored numerous doctoral students who have become active researchers in information systems, with several now holding faculty positions. His research has been supported by German research funding agencies and industry partnerships with healthcare technology companies. He maintains strong collaborative relationships with researchers across Europe and Australia, particularly in the healthcare IT domain.

• Healthcare Information Systems
• Digital Innovations for Aging Society
• Technology Adoption by Older Adults
• +4 more

Vaibhav Garg is a Collegiate Assistant Professor of Computer Science at the Virginia Tech Innovation Campus. Previously, he worked as a teaching and coding instructor at Outco Company in California. His research focuses on applying computational methods to societal challenges such as detecting inciting speech on social media and auditing rogue mobile apps for misuse. He holds a Ph.D. in Computer Science from North Carolina State University (2024), an M.S. from Indraprastha Institute of Information Technology, Delhi (2019), and a B.S. from The LNM Institute of Information Technology (2017). Research Interests: Applied Natural Language Processing Social Media Analytics Cybersecurity AI for Social Good Responsible Computing Educational Technology His recent work includes publications on inciting speech detection, trauma narratives analysis, and mobile app misuse audits. These studies emphasize ethical AI applications in addressing societal issues like online harassment and privacy violations. Awards & Honors: Carla Savage Award (2023) for outstanding Ph.D. research at NC State Grants & Funding: National Security Agency (NSA) research grants during Ph.D. National Science Foundation (NSF) research grants during Ph.D. His current work explores interdisciplinary solutions at the intersection of NLP and social responsibility, with a focus on developing technologies that promote ethical online environments.

• Applied Natural Language Processing
• Social Media Analytics
• AI for Social Good
• +3 more

Ewan Dunbar is an Assistant Professor of Computational Linguistics at the University of Toronto (downtown campus), affiliated with St. Michael's College. He holds appointments in the Department of French, Department of Linguistics, and Department of Computer Science. His research explores human speech perception, technological advancements in speech processing, and related areas such as unsupervised learning and language acquisition. Educational Background: While specific degrees aren't listed, his research and appointments indicate advanced training in linguistics and computational sciences. Research Interests: Dunbar focuses on how humans perceive speech, developing computational models of speech perception, and advancing unsupervised learning techniques. He leads the Perceptimat Research Group and organizes the Zero Resource Speech Challenge, a machine learning competition promoting unsupervised approaches to speech processing. Awards: He has received notable grants including the 2028 NSERC Discovery Grant, 2028 NSERC Discovery Launch Supplement, and 2023 Connaught New Researcher Award, all supporting his work on computational psycholinguistics and speech perception models. Advising & Grants: While specific student names aren't listed, his grants indicate involvement in mentoring undergraduates (e.g., 2024 NSERC Undergrad Studentship Grant). His labs focus on creating speech perception tools and benchmarks like Perceptimatic. Labs/Teams: Director of the Perceptimat Research Group, organizer of the Zero Resource Speech Challenge.

• Computational Linguistics
• Speech Perception
• Unsupervised Learning
• +3 more

Mohammad Alsharid is a Visiting Fellow at the University of Oxford's Institute of Biomedical Engineering and a postdoctoral research fellow at Khalifa University. He holds a DPhil in Engineering Science (2022) from the University of Oxford, where his thesis focused on automated textual captioning for ultrasound visuals. His research integrates machine learning, natural language processing, and computer vision to advance biomedical image analysis, particularly in fetal ultrasound. Alsharid’s work emphasizes multimodal interplay in medical imaging and automated workflow analysis. Education: DPhil in Engineering Science (2022), University of Oxford; BSc (exact discipline unspecified). Research Interests: Develop AI-driven solutions for medical imaging through multimodal learning, curriculum learning approaches for ultrasound captioning, and automated analysis of fetal echocardiography scans. His methods leverage gaze-assisted systems and self-supervised representation learning for improved diagnostic support. Publications Highlight Trends: Focus on automated captioning for medical videos, curriculum-based learning frameworks, and multimodal neural networks for biomedical applications. Lab Affiliations: Active in the Institute of Biomedical Engineering at Oxford, contributing to interdisciplinary projects in AI and healthcare.

• Machine Learning
• Natural Language Processing
• Computer Vision
• +3 more

Ming Li is a Professor of Electrical and Computer Engineering at Duke Kunshan University's Division of Natural and Applied Science, and a Principal Research Scientist at the Digital Innovation Research Center. He holds an adjunct position as a Professor at Wuhan University's School of Computer Science. His research focuses on audio/speech processing, multimodal behavior signal analysis, and applications in autism spectrum disorder diagnosis. Li has over 200 publications and serves on editorial boards of journals like IEEE Transactions on Audio, Speech and Language Processing. Education: Ph.D. in Electrical Engineering from the University of Southern California (2013). Awards include the IBM Faculty Award (2016), ISCA 5-Year Best Paper Award (2018), and Youth Achievement Award (2020). He leads initiatives in anti-spoofing countermeasures, voice conversion, and speech synthesis. Recent Courses: Random Signals and Noise Speech Recognition Data Science Key Research Contributions: Development of datasets like KunquDB, TMCSpeech, and systems for speaker verification, deepfake detection, and autism diagnosis tools. His work bridges signal processing with clinical applications, leveraging AI for social interaction improvement in neurodiverse populations.

• Audio and Speech Processing
• Multimodal Behavior Signal Analysis
• Speech Synthesis
• +3 more

Trang Vu is a Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. Her research focuses on trustworthy NLP methods, cultural-aware machine translation, and efficient ML techniques like active and transfer learning. She holds a PhD in AI and Machine Learning from Monash University, awarded in 2022. Education: Doctoral of Philosophy (AI and Machine Learning) - Monash University (2022) Research Interests: Safe and trustworthy NLP methods for LLM alignment and hallucination mitigation Cultural-aware machine translation systems Efficient NLP techniques including active learning and semi-supervised methods Recent Projects: TMLGenAI (2023-2026): Developing safe and aligned foundation models Knowledge-Intensive Multimodal ASR research (2024) Collaborations: International collaborations in generative AI and multilingual NLP Team leader roles in multiple large-scale AI projects

• Natural Language Processing (NLP)
• Machine Learning
• Trustworthy AI
• +5 more

Petr Motlicek is a Lecturer at the École polytechnique fédérale de Lausanne (EPFL) in the Institute of Electrical Engineering. His research focuses on speech and audio processing technologies. At the Laboratoire de l'IDIAP, he conducts interdisciplinary work bridging engineering and cognitive science. His primary research interests include digital speech coding algorithms and auditory perception models. His work examines how signal processing techniques can integrate knowledge about sound production and human auditory perception. Dr. Motlicek has supervised multiple PhD students including Kumar Shashi, Dey Subhadeep, He Weipeng, and Zuluaga Gomez Juan Pablo. He teaches the course Digital Speech and Audio Coding which covers state-of-the-art techniques in the field.

• Speech Processing
• Audio Coding
• Signal Processing
• +1 more

Marten van Schijndel is an Assistant Professor of Computational Linguistics at Cornell University, affiliated with the Cognitive Science Program and the Department of Linguistics within the College of Arts and Sciences. His research focuses on incremental language processing, comparing human linguistic behavior with computational models like neural networks. He organizes the Computational Psycholinguistic Discussions (C.Psyd) and collaborates with the Cornell Computational Linguistics Lab (CLab) and Cornell NLP Group. Van Schijndel’s work bridges computational modeling and psycholinguistics, probing how humans and models process language incrementally, particularly through methodologies like fMRI and behavioral experiments. His research interests include computational modeling of language processing, neural network representations, and the interplay between syntax, semantics, and discourse. Notably, he investigates ungrounded learning in neural models, exploring what linguistic aspects emerge from statistical patterns alone. Recent contributions include studies on semantic change quantification, phonotactic effects in context, and discourse predictability in Hindi word order. Van Schijndel teaches courses such as Computational Linguistics II and leads seminars on natural language processing. He actively advises students like John R. Starr, Ashlyn Winship, and Zander Lynch, whose work spans experimental paradigms for semantic spaces, implicit arguments in sentence processing, and semantic role localization. His recent activities include co-organizing workshops on event representation (PEER 2025) and presenting at the University of Rochester on event construction from language. Media highlights include research on tracking anti-immigrant hate speech and semantic evolution in French texts.

• Computational Linguistics
• Psycholinguistics
• Neural Network Language Models
• +3 more

William Duffy is a Professor in the Department of English at the University of Memphis. He specializes in rhetoric and writing studies, focusing on collaborative writing, artificial intelligence, communication ethics, and composition pedagogy. He has held leadership roles including Founding Director of the Center for Writing and Communication, Coordinator of the Writing, Rhetoric, and Technical Communication program, and Director of English Graduate Studies. His work bridges theoretical scholarship with practical pedagogical innovation. Education: B.A., Elon University M.A., University of North Carolina at Greensboro Ph.D., University of North Carolina at Greensboro Research focuses on how rhetorical principles intersect with contemporary challenges in communication ethics, collaborative writing practices, and the integration of emerging technologies like AI into academic discourse. Recent publications explore virtue ethics in democratic contexts, disciplinary identity in writing studies, and the rhetorical analysis of political symbolism. Publications reflect interdisciplinary engagement across rhetoric, composition, and ethics, with contributions to journals like Rhetoric Society Quarterly and book chapters in edited volumes addressing pedagogical theory and public discourse. Leadership roles include directing academic centers and mentoring graduate programs, demonstrating commitment to institutional development alongside scholarly output.

• Rhetoric
• Writing Studies
• Collaborative Writing
• +3 more

Joseph Dippong is an Associate Professor and Director of Graduate Studies in the Department of Sociology at the University of North Carolina at Charlotte. His research specializes in Social Psychology, Group Processes, and Status and Power dynamics. His work investigates how status hierarchies emerge in group interactions, examining vocal accommodation patterns, performance expectations, and biosocial foundations of behavior. Research employs experimental methods to analyze how factors like gender, communication style, and media technology influence status dynamics and decision-making. Analysis of publications demonstrates expertise in experimental sociology, with recent focus on: vocal dynamics as status markers, remote work penalties, evolutionary sociology foundations, and methodological innovations in measuring status. Work frequently bridges social psychology, linguistics, and organizational studies.

• Social Psychology
• Group Processes
• Status and Power
• +1 more

Larry M. Hyman is Distinguished Professor of Linguistics at University of California, Berkeley, specializing in phonological theory and African language studies. His research analyzes tone systems, Bantu morphophonology, and Niger-Congo historical linguistics. Research focuses on tonal patterns in Bantu languages, morphotactic structures, and historical development of African tone systems. Recent work examines Tiania tonology, Luganda noun phrase prosody, and Runyankore verb morphology. Publications demonstrate methodological rigor in phonological analysis and language documentation, contributing to theoretical understanding of tone, prosody, and morphological complexity in understudied languages. Editorial contributions include honor volumes and theoretical studies advancing autosegmental phonology and morphological analysis.

• Phonological Theory
• Tone Systems
• African Linguistics
• +1 more

Sabhanaz Rashid Diya is a Visiting Policy Fellow at the Oxford Internet Institute, University of Oxford, within the Social Sciences Division. She is also the founder and executive director of Tech Global Institute, a tech policy nonprofit focused on advancing equity in technology design and governance for the Global South. With over two decades of experience at the intersection of technology policy, ethics and international development, Diya has advised governments in more than 20 countries and previously served as head of public policy for Bangladesh at Meta. Diya holds a master's degree in public policy from the University of California at Berkeley and serves as a senior fellow at the Centre of International Governance Innovation. Her research focuses on platform governance, inequality, public policy, ethics, and international governance, with particular attention to the Global South context and digital rights. Diya's recent publications reveal a strong focus on privacy rights in developing contexts, pandemic response policies, gender equity in technology, and the intersection of digital platforms with human rights. Her work consistently emphasizes the importance of local context in technology policy and governance, challenging Western-centric approaches to digital solutions. Her notable awards and recognitions include contributions to major publications in BBC, Wired, Financial Times, The Straits Times, France24, Reuters, and The Daily Star. Her research on privacy in the Global South, particularly her 2024 article 'Do the poor have a right to privacy,' has gained significant attention for highlighting systemic privacy challenges in low- and middle-income countries. Diya actively engages with policy development, having contributed to discussions around Bangladesh's draft Personal Data Protection Act and conducted research through Tech Global Institute on platform privacy policies in non-Western contexts. Her work bridges academic research, policy advocacy, and practical technology governance solutions. She maintains an active presence in both academic and policy circles, with ongoing research projects examining digital rights, platform governance, and equitable technology design for marginalized communities worldwide.

• Platform governance
• inequality
• public policy
• +7 more

Dr. Emma Gowen is a Senior Lecturer in the Division of Psychology, Communication and Human Neuroscience at The University of Manchester. She co-directs the Body Eyes and Movement (BEAM) lab, focusing on sensory motor control, imitation, and autism research. Her work emphasizes participatory approaches involving autistic adults and families through initiatives like Autism@Manchester. She holds administrative roles including Postgraduate Tutor and membership in ethics committees. Her research integrates eye tracking, motion tracking, and qualitative methods, addressing topics like sensory processing in autism and motor skill development. Education: PhD from University Manchester Institute of Science and Technology (2003), MSc Investigative Ophthalmology (University of Manchester), BSc Orthoptics (University of Liverpool). Research spans autism neurodiversity, motor control, and sensory integration. Key projects include studying aging in autistic adults, developing autism-friendly eyecare practices, and exploring imitation mechanisms across clinical populations. Funded by ESRC, MRC, and Wellcome Trust. Grants: ESRC/RAI Centre for Robotics, MRC/Time perception studies Advising: Supervises optometry and psychology students on sensory-motor topics Labs/Teams: BEAM Lab, Autism@Manchester Network, RAI Robotics Centre. Collaborations include Birmingham University and Manchester Royal Eye Hospital.

• Sensory Motor Control
• Autism Spectrum Disorder
• Imitation Behavior
• +3 more