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Hermann NeyView profile

Professor

• statistical classification
• machine learning
• automatic speech recognition
• +4 more

Sen. Prof. Dr.-Ing. Hermann Ney is a Professor at RWTH Aachen University's Chair of Computer Science 6 (Human Language Technology and Pattern Recognition). His primary affiliation is with the Department of Computer Science, where he leads research and teaching activities. Research Interests: Statistical classification and machine learning Automatic speech recognition Statistical machine translation Text/image/sign language recognition Image and object recognition Teaching: Pattern Recognition and Neural Networks Speech Recognition Digital Processing of Speech and Image Signals Language Modeling Statistical Natural Language Processing Advanced Topics in Statistical Modeling Full course details available here . Publications are accessible via the publication page and Google Scholar profile.

Oliver AlonzoView profile

Assistant Professor

• Human-Computer Interaction
• Computing Accessibility
• Digital Accessibility for People with Disabilities
• +3 more

Oliver Alonzo is an Assistant Professor in the School of Computing at DePaul University. His academic journey includes a Ph.D. in Computing and Information Sciences from the Rochester Institute of Technology, a B.S. in Computer Science from Creighton University with minors in Graphic Design and Musical Theatre. Prior to joining DePaul, he served as a post-doctoral assistant professor at Creighton University and completed internships at Meta (Facebook) and Adobe Research. Dr. Alonzo's research focuses on Human-Computer Interaction and Computing Accessibility, with particular emphasis on creating technologies that improve digital access for people with disabilities, especially those who are Deaf or Hard-of-Hearing (DHH). His work spans several key areas: Design and evaluation of automatic text simplification tools for DHH readers Captioning and visualization of non-speech sounds in multimedia content Accessibility solutions for social media platforms Tools to assist American Sign Language learners Multimedia accessibility in emerging technologies like virtual reality His recent publications demonstrate a consistent focus on developing and evaluating accessibility technologies through rigorous user-centered design with DHH communities. His research has evolved from foundational work on text simplification and sign language interfaces to broader explorations of digital accessibility across multiple platforms and contexts. Dr. Alonzo has received notable recognition for his work, including: CHI 2025 Honorable Mention for research on Deaf and Hard-of-Hearing user experiences with misinformation on social media An NSF CRII grant for a two-year project focused on making videos accessible by design for Deaf, Hard-of-hearing, Blind and Low-Vision viewers As an educator, Dr. Alonzo teaches courses including HCI 440 Introduction to User-Centered Design, HCI 445 User Research Methods, and HCI 511 Accessibility Considerations in HCI. His teaching philosophy emphasizes practical, hands-on learning experiences that connect theoretical concepts to real-world accessibility challenges. Outside academia, Dr. Alonzo is fluent in Spanish, English, and Portuguese, and is learning American Sign Language. He has a background in musical theatre and enjoys black & white photography, which informs his creative approach to accessibility research.

Jonas BeskowView profile

Professor

• Multimodal Interaction
• Speech Synthesis
• Robotics
• +3 more

Jonas Beskow is a Professor and Head of Division at the Division of Speech, Music and Hearing at KTH Royal Institute of Technology. His research focuses on multimodal interaction, speech synthesis, robotics, and human-robot interaction. He leads the Learning style variation in nonverbal behaviour for social robots and agents project as part of Digital Futures, a cross-disciplinary research center. His work involves developing social robots like the Furhat head and advancing technologies for gesture synthesis, audio-driven motion, and adaptive intelligent systems. He holds roles as Co-PI for the Advanced Adaptive Intelligent Systems (AAIS) and Adaptive Intelligent Homes (AIH) projects. His research spans robotics, computer graphics, and clinical applications such as dementia detection through multimodal patient behavior analysis. Beskow also contributes to educational initiatives, supervising courses in computer science and engineering, including degree projects in machine learning and systems engineering. Publications highlight innovations in gesture generation, speech-driven animation, and socially-aware robotics. Collaborations with institutions like Stockholm University and RISE Research Institutes drive interdisciplinary solutions. His work bridges artificial intelligence, human-computer interaction, and assistive technologies, emphasizing ethical and societal impacts of emerging digital systems.

Skyler WangView profile

Assistant Professor

• AI
• Technology
• Human-Computer Interaction
• +7 more

Skyler Wang is an Assistant Professor of Sociology at McGill University, specializing in AI, technology, and human-computer interaction. He holds a Ph.D. from UC Berkeley and previously served as a Sociologist at Meta’s FAIR lab. His research critically examines sociotechnical systems' epistemic cultures and social impacts, focusing on AI-driven human-machine interactions in health, relational contexts, and digital platforms. His research interests include AI ethics, platform societies, digital intimacy, and multilingual systems. Notable works include the book project Sharing Bodies in the Sharing Economy , exploring Couchsurfing’s sociosexual dynamics, and applied AI projects like No Language Left Behind (doubling machine translation languages) and SeamlessM4T (awarded TIME’s 2023 Best Inventions). Teaching focuses on Technology & Society, Artificial Intelligence & Society, and Digital Intimacy. Advising roles include Major/Minor and Honours Sociology students. Active in interdisciplinary collaborations through McGill’s Quebec Inter-University Centre for Social Statistics and global AI ethics initiatives. Education: Ph.D. Sociology, UC Berkeley (2023) Key Affiliations: Meta FAIR Lab (prior), McGill Department of Sociology Publications in Nature , CSCW , Big Data & Society , and media features in WIRED, CNN, and NPR

• Computational Linguistics
• Text Summarization
• Information Extraction
• +6 more

Horacio Saggion is the Chair in Computer Science and Artificial Intelligence at the Department of Information and Communication Technologies, Universitat Pompeu Fabra. He leads the TALN Group and the Large Scale Text Understanding Systems Lab. His research focuses on Computational Linguistics, with specialties in Text Summarization, Information Extraction, and Semantic Analysis. He coordinates the Horizon Europe iDEM project on inclusive democratic spaces and previously led the SignON project for Sign Language Translation. Key technologies include the SUMMA Summarization system and the Dr Inventor Text Mining Library. Education: PhD, MSc, and Licenciatura in Computer Science. Research Interests: Text simplification for accessibility, sign language translation, misinformation detection, and ethical AI applications. His work bridges natural language processing with societal needs such as clear communication in public administration. Grants & Projects: Coordinator of iDEM (Horizon Europe), PI of SignON, Simplext, and Able to Include. Involved in BEA shared tasks and CLEF labs. Active in organizing workshops like TSAR at EMNLP. Labs & Teams: Head of TALN Group and Text Understanding Lab. Collaborations include Universitat Pompeu Fabra's interdisciplinary initiatives and industry partnerships for technology commercialization.

Jurgita AstrauskienėView profile

Associate Professor

• Audiovisual Translation
• Dubbing
• Media Accessibility
• +3 more

Jurgita Astrauskienė is an Associate Professor at Vilnius University's Kaunas Faculty within the Institute of Languages, Literature and Translation Studies . She specializes in audiovisual translation , dubbing , and media accessibility , with a focus on cultural adaptation in animated films and inclusive translation practices. Lectures on translation theory and practice Researches cultural references in AVT Active in European academic associations Research Interests : Translation of culture-specific items in film Accessibility solutions for deaf/hard-of-hearing audiences Historical and contemporary AVT practices in Lithuania Comparative analysis of dubbing vs. subtitling Terminology standardization in AVT Humor and wordplay translation in animation Publication Trends show consistent focus on: Cultural adaptation in animated films (Coco, Luca, Encanto) Terminology challenges in AVT Profanity and taboo translation Technological advancements in media accessibility Comparative studies of Lithuanian AVT modes Historical analysis of translation practices

• Medical Education
• Genetics Communication
• Genetic Counselling
• +3 more

Dr Saeeda Bhatti is a Lecturer in Medicine at the University of Glasgow's College of Medical, Veterinary and Life Sciences. She serves dual roles as Tutor in the Undergraduate Medical School and Tutor within the MVLS Education Hub, focusing on curriculum development and student mentorship across medical education programs. Her research centers on Medical Education , Genetics Communication , and Genetic Counselling , with specialized expertise in science outreach for primary schools and culturally responsive approaches for the deaf community. She develops innovative tools like patient decision aids for hereditary deafness and creates accessible genetics education materials addressing thalassaemia and health literacy barriers. Analysis of her 2017-2025 publications reveals a strategic pivot from oncology diagnostics to medical education innovation. Recent work (2020-2025) dominates her output, featuring international conference presentations at ESHG, AMEE, and ISDM events focused on health disparities, deaf healthcare access, and pandemic-responsive teaching methods like podcast-based medical education.

Dina KatabiView profile

Professor

• Digital Health
• Wireless Sensors
• Machine Learning
• +3 more

Dina Katabi is the Thuan and Nicole Pham Professor of Electrical Engineering and Computer Science at MIT, leading the Katabi Lab and directing the MIT Center for Wireless Networks and Mobile Computing. Her research bridges AI, wireless systems, and digital health, focusing on non-invasive health monitoring via wireless signals and machine learning. She is a MacArthur Fellow and holds the Andrew & Erna Viterbi Professorship. Key research areas include emotion recognition (EQ-Radio), sleep posture monitoring (BodyCompass), and through-wall human pose estimation. Her lab develops AI systems for biosensors, leveraging RF signals to detect diseases like Parkinson's and Alzheimer's. Notable awards include the ACM Prize in Computing and SIGCOMM's Lifetime Achievement Award. Publications span wireless networks, computer vision, and health tech, with impactful work in CVPR, ECCV, and Nature Medicine. She advises over 20 students/postdocs and collaborates on technologies like in-body backscatter communication and AI-driven drug development monitoring. Labs: Katabi Lab (MIT CSAIL) and the MIT Wireless Center. Ongoing work explores digital biomarkers, self-supervised learning, and scalable health monitoring systems for chronic diseases.

Bright VargheseView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +3 more

Bright Varghese, Ph.D., is an Assistant Professor of Computer Science at Maryville University. With 17 years of experience including 16 years in teaching, his expertise spans programming, web development, Android app development, and project management. He holds a B.E. from Manonmaniam Sundaranar University, M.E. from Vinayaka Missions University, and Ph.D. from Karunya Institute of Technology and Sciences. His research focuses on software re-modularization using hybrid heuristic approaches, deep learning for sign language recognition, and optimization algorithms. He has deployed learning management systems like Open edX LMS for web platforms and Moodle LMS for mobile applications. His academic contributions include advancing software engineering practices and integrating machine learning into educational technology solutions. Though no formal awards are listed, his work highlights innovation in both theoretical and applied computer science domains. No grants or specific lab affiliations are detailed in the provided information.

• Assistive Technology
• Computer Vision
• Human-Computer Interaction
• +2 more

Maria Paola Forte is a Doctoral Researcher at the Max Planck Institute for Intelligent Systems, working across the Haptic Intelligence and Perceiving Systems departments. She holds a BSc in Biomedical Engineering from the University of Genova and an MSc in Bioengineering from Politecnico di Milano. Her PhD research focuses on developing interdisciplinary assistive technologies, particularly for sign language capture, combining computer vision with sensor-based approaches. Her research interests center on creating technology for people with sensory or motor deficits, with applications in robotic surgery and human-computer interaction. Key areas include assistive device development, motion capture systems, and haptic feedback interfaces. Her work leverages expertise in biomedical engineering, machine learning, and real-time systems. Publications consistently demonstrate interdisciplinary work in surgical robotics and accessibility technology. Recent articles show a progression toward human-centered applications of computer vision, with emerging focus on wearable bioimpedance sensing and avatar reconstruction for sign language.

• Sign Language Policy
• Deaf Studies
• Disability Studies
• +3 more

Maartje De Meulder is a senior researcher at HU University of Applied Sciences Utrecht and holds a honorary research fellowship at Heriot-Watt University 's SIGNS@HWU department. Her work bridges Deaf Studies, Disability Studies, and Human-Computer Interaction, focusing on ethics in sign language technologies and inclusive practices. She co-edited Innovations in Deaf Studies (2017) and The Legal Recognition of Sign Languages (2019), and guest-edited journal special issues. Her current research explores how technologies shape deaf communication and access, with recent publications on Deaf-centred design and gaze work in interpreting . She leads the dr Deaf workshops to support deaf scholars and is active in policy advocacy for minority sign languages. Projects include studying deaf-hearing family sign language policies and a proposed Master in Applied Deaf Studies. She splits her time between Belgium, the Netherlands, and Norway and advocates for deaf representation in tech design.

• Deaf Studies
• Audism
• Sign Language Literature
• +7 more

H-Dirksen Bauman is a Professor of Deaf Studies at Gallaudet University, affiliated with the Arts and Humanities School. His work centers on Deaf cultural studies, audism, and the intersection of disability studies with broader sociocultural frameworks. He has contributed significantly to redefining academic discourse through concepts like 'Deaf Gain,' emphasizing the value of deafness as a mode of human diversity rather than a deficit. Bauman’s research spans sign language literature, sensory politics, and architectural design for Deaf communities (DeafSpace). He has taught courses such as Language, Culture, and Power and Enforcing Normalcy: Deaf and Disability Studies , reflecting his commitment to critical pedagogy. His scholarly contributions include foundational texts on audism and co-editing Deaf Gain: Raising the Stakes for Human Diversity . He has held leadership roles including Director of ASL Connect and advisor to the Deaf Studies Digital Journal. Awards include the Maryland State Arts Council’s Independent Artist Award and recognition for bilingual literary works. His work bridges academia, artistry, and activism to challenge ableist norms and advocate for deaf-centered frameworks in education, architecture, and policy.

Krishna MadaparthiView profile

Senior Lecturer

• American Sign Language Education
• Deaf Studies
• Sign Language Interpretation
• +3 more

Krishna Madaparthi serves as a Senior Lecturer in American Sign Language & Interpreting Education at Northeastern University's College of Social Sciences and Humanities. A Deaf Canadian raised in Ottawa, Ontario, he brings extensive international teaching experience spanning community settings, post-secondary institutions, and Japan's NPO-Japanese ASL Signer Society where he taught Deaf and hearing Japanese signers. His educational credentials include: Bachelor of Information Technology (BIT) in Network Technology from Carleton University & Algonquin College Master of Arts in ASL Education (MASLED) from Gallaudet University SLIC’s CEFR Certification and American Sign Language Instructor Certification Madaparthi's research focuses on ASL pedagogy and assessment frameworks, particularly through his role as research assistant for Dr. Kristin Snoddon’s ASL-Parent research programs implementing the Common European Framework of Reference. His work bridges Deaf education theory with practical application across diverse linguistic contexts, emphasizing second-language acquisition for ASL learners. Professional recognition includes: Appreciation Award from Japan's NPO-Japanese ASL Signer Society (2021) Gallaudet University's Dr. Nathie L. Marbury Award (2021) Carleton University's Raving Raven for Teaching Excellence (2018) He actively shapes the field through leadership roles as Board Director of the Ontario Association of Sign Language Interpreters (OASLI) and committee service for CASLI and SLIC. His teaching methodology integrates community engagement through initiatives like ASL Coffee Nights and Ottawa Deaf Centre's Summer Sign Camp, while his research contributes to standardized sign language assessment frameworks. Beyond academia, Madaparthi explores global cuisines and outdoor activities including international hiking and camping expeditions.

• Social Education
• Educational Sociology
• Adult Education
• +4 more

Natsuko Sakauchi is a Professor at the Faculty of Education and Integrated Arts and Sciences, Graduate School of Education at Waseda University. She holds a PhD in Education from Waseda University and is affiliated with institutions like the Global Education Center. The Japan Society for the Study of Education The Japan Society for Adult Education The Japan Society for Educational Sociology The Japanese Society for the Study on Teacher Education The Japan Society of Library and Information Science Research Interests : Sakauchi specializes in Social Education , focusing on historical intersections between leisure, entertainment, and pedagogy in Japan. Her work examines figures like Yasunosuke Gonda to analyze public education's role in leisure policy and ideological shifts. She investigates how social education frameworks address labor, urbanization, and media's impact on learning. Article Trends : Her publications span from 2001–2015, with a focus on educational sociology , leisure theory , and historical case studies . Key subfields include community-based archives, multicultural education, and the evolution of recreational practices. Scientific Contributions : 2004 Research Grant from Nihon University Educational System Research Institute Historical analysis of leisure concepts in modern Japan Studies on Yasunosuke Gonda's public entertainment theories

Maxime GobertView profile

Researcher

• Database Systems
• Hybrid Polystores
• Database Schema Evolution
• +4 more

Maxime Gobert is a researcher at the University of Namur's Faculty of Computer Science, specializing in database systems and software engineering. Having completed his PhD in March 2023 titled 'Design, Manipulation and Evolution of Hybrid Polystores,' Gobert has established himself as an expert in hybrid database systems, particularly focusing on the HyDRa framework for modeling and evolving polystores. His research interests span database systems, hybrid polystores, database schema evolution, software engineering, data-intensive systems, and static program analysis. Gobert's work bridges theoretical database concepts with practical applications, particularly in NoSQL databases like MongoDB and complex hybrid data storage environments. His publication record demonstrates a clear trajectory from his 2013 Master's thesis on database reverse engineering through to his recent work on database testing best practices and sign language processing applications. His research shows strong collaboration with colleagues at the University of Namur, particularly with Professor Cleve A., and extends to international collaborations as evidenced by his 2016 guest researcher position at the University of Geneva. Best New Idea and Emerging Results (NIER) Paper Award at the 20th IEEE Working Conference on Source Code Analysis and Manipulation (SCAM 2020) Jean Fichefet 2013 award Gobert has contributed significantly to the development of the HyDRa framework for hybrid polystore management and has extended his research into sign language processing through collaborative projects creating bilingual sign language dictionaries and parallel corpora. His work demonstrates both technical depth in database systems and a commitment to applying this expertise to accessibility-focused applications.