Find Academic Supervisors

• Respiratory assistance in intensive care
• Nutrition in intensive care
• Computerization of diagnostic and therapeutic assistance
• +3 more

Philippe Jouvet is a Clinical Professor in the Department of Pediatrics at Université de Montréal's Faculty of Medicine. He is affiliated with CHU Sainte-Justine, a leading pediatric healthcare institution in Montreal, Canada. His clinical and research activities focus on advanced technologies for critical care environments, particularly in respiratory assistance and diagnostic automation. Dr. Jouvet's research spans pediatric intensive care innovations, including machine learning applications for clinical decision-making, respiratory distress detection, and safety protocols for aerosol transmission. His work addresses key challenges in mechanical ventilation, hypoxemia triage, and artifact detection in physiological signals, with a strong emphasis on cross-national collaborative studies. His recent publications demonstrate expertise in integrating artificial intelligence with clinical workflows, evidenced by studies on LoRA adapters for LLMs, vision transformers for rPPG estimation, and hybrid neural networks for signal processing. His work also includes critical contributions to international guidelines for pediatric ventilator liberation and acute respiratory distress syndrome management.

Radomir DinicView profile

Lecturer

• Computer Vision
• Mixed Reality
• Game Development
• +7 more

Radomir Dinic is a lecturer and researcher at Salzburg University of Applied Sciences, specializing in Multimedia Technology. He holds a BSc and MSc in Media Informatics from the same institution. Research Interests: His work focuses on Augmented and Virtual Reality applications Computer vision for health monitoring Mobile food portion estimation systems Game development for educational purposes Scientific Recognition: Austrian CG Award (2015, 2016) State of Salzburg Science Award (2017) Key Projects: YoKaisho (AR board game hybrid) NIVA (VR exploration art game) EatAR (nutritional assessment AR app) SmartSignCapture (sign language to 3D avatars) Ecomedicine VR (therapeutic waterfall simulation)

Qi ChengView profile

Assistant Professor

• Language Processing
• Neurolinguistics
• Psycholinguistics
• +3 more

Dr. Qi Cheng is an Assistant Professor in the Department of Linguistics at the University of Washington, leading the Neuroplasticity and Language Lab (NLL). She holds a Ph.D. in Linguistics and Cognitive Science from the University of California, San Diego (2020). Her research focuses on the neuroplasticity of language development in deaf individuals, particularly how early language deprivation impacts syntactic processing, brain structure, and cognitive mechanisms. She employs interdisciplinary methods including neuroimaging (MEG, DTI, MRI), psycholinguistic experiments, and longitudinal studies. Education: Ph.D., Linguistics and Cognitive Science, UC San Diego, 2020 Research Interests: Language processing in deaf populations, neural foundations of sign language, early language deprivation effects, bilingualism (bimodal/unimodal), and cognitive neuroscience. Lab Activities: The NLL collaborates on projects involving ASL and CSL syntax, visual mismatch responses in MEG, and cognitive control mechanisms in bilinguals. Dr. Cheng mentors graduate students (e.g., Yuting Zhang, Yoojin Oh) and undergraduate researchers through the Linguistics Undergraduate Research Apprenticeship Program (LURAP). Recent Contributions: Her work highlights reduced brain connectivity in language-relevant regions for late ASL learners and reveals how cognitive control influences sentence comprehension in deaf readers. Ongoing projects explore cross-modal neural mechanisms and the impact of early language exposure on syntactic flexibility.

Naja Ferjan RamírezView profile

Associate Professor

• American Sign Language Bilingualism
• Brain and language
• First Language Acquisition
• +5 more

Naja Ferjan Ramírez is an Associate Professor at the University of Washington's Department of Linguistics. She specializes in understanding variability in linguistic and brain development among children from diverse backgrounds. Her work integrates methodologies like magnetoencephalography (MEG), naturalistic home recordings, and lab-based behavioral measures. Education: Ph.D. in Linguistics and Cognitive Science, UC San Diego (2013) B.Sc. in Neuroscience, Brown University (2007) Research Interests: Focuses on language acquisition, bilingualism (particularly ASL-English), speech perception, and neurocognitive mechanisms underlying language learning. Explores how sociocultural factors influence developmental trajectories in children's linguistic and neural systems. No awards or grants explicitly listed in the provided text. Current work emphasizes interdisciplinary approaches to assess language environments and their impact on early cognitive development.

Yun HuangView profile

Associate Professor

• Human-Computer Interaction
• Social Computing
• Mobile Computing
• +7 more

Yun Huang is an Associate Professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, co-directing the Social Computing Systems (SALT) Lab. She holds faculty affiliate roles in the Department of Computer Science, Illinois Informatics, and the Siebel Center for Design. Her research focuses on human-computer interaction, social computing, and human-AI collaboration, with an emphasis on accessibility and ethical AI integration. Dr. Huang holds a PhD from the University of California, Irvine, and a bachelor's degree from Tsinghua University. Her work examines context-driven design of crowdsourcing systems, AI ethics, and inclusive technologies. Notable projects include developing accessible video commenting systems for the deaf community (Signmaku) and AI-driven tools for collaborative research (CoQuest). Her recent publications explore topics such as LLM integration in extended reality, emotion-aware conversational agents, and safety design in social VR environments. She has received accolades including the Linowes Faculty Fellowship and multiple teaching excellence awards. Current projects address inclusive AI, STEM education accessibility, and human-AI alignment frameworks. Active research initiatives include 'Advancing STEM Online Learning through Interactive Companionship' and 'Inclusive AI: A ChatGPT Plugin for Vulnerable Groups.' Her work bridges technical innovation with social impact, emphasizing participatory design and user-centered solutions.

Lawrence AngraveView profile

Teaching Professor

• Accessible Education
• Universal Design for Learning (UDL)
• Educational Technology
• +3 more

Lawrence Angrave is a Teaching Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, affiliated with the Siebel Center for Computer Science. He holds roles as Gies RC Evans Innovation Fellow and CITL Fellow. His primary research focuses on Universal Design for Learning (UDL) and Accessibility in Education , with notable projects like ClassTranscribe and ScribeAR . These tools enhance educational accessibility through automated captioning, searchable video transcripts, and AR-based captioning for deaf and hard-of-hearing students. He has served on critical committees including the Siebel School Executive Committee (2023–present), Academic Appeals Committee (2019–2023), and CS Promotion Committee for Specialized Faculty (2018–2020). His teaching excellence is recognized through awards like the Karen Wold Level the Learning Field Award (2022) and multiple U.S. teaching honors. Current courses include advanced CS topics like System Programming and web development projects. His research leverages machine learning and HCI to address inclusivity in STEM education, with over 50 peer-reviewed publications since 2011.

Hal Daumé IIIView profile

Professor

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +5 more

Hal Daumé III is a Professor and Volpi-Cupal Family Endowed Professor in the Department of Computer Science at the University of Maryland, with appointments in both Computer Science and Language Science. He leads the TRAILS Institute (Trustworthy AI in Law & Society) and teaches courses on generative AI, trustworthy machine learning, and human-AI interaction. His research focuses on natural language processing (NLP), machine learning, and developing AI systems that minimize societal harms. Key interests include interactive learning paradigms and fairness in AI. Daumé holds a Ph.D. in Computer Science from the University of Southern California (2006). He is affiliated with the Computational Linguistics and Information Processing Lab (CLIP), the Human-Computer Interaction Lab (HCIL), and the Center for Machine Learning. His work bridges technical innovation with ethical considerations, emphasizing inclusivity and human-centered AI design. Notable contributions include the textbook A Course in Machine Learning , open-source NLP tools, and foundational papers on fairness, bias mitigation, and human-AI collaboration. Awards include the Qualcomm Innovation Fellowship (2011) and recognition for sustainability initiatives through UMD's 'Fearless Ideas' program. He advises a vibrant group of Ph.D. students exploring topics like peer-review dynamics, language technology disparities, and AI ethics. Daumé actively promotes responsible AI practices, advocating for inclusive conference organization and ethical guidelines in AI development. His research spans technical advancements and societal impact, aiming to ensure AI systems align with human values and reduce real-world inequities.

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

Anthony Fattibene is a Lecturer of American Sign Language (ASL) at Clemson University, affiliated with the Department of Languages within the College of Arts and Humanities. He also serves as an adjunct ASL Instructor at Tri-County Technical College and has tutored ASL students at Clemson University and the University of Tennessee. Holding a Master of Science in Graphic Communications (2019) from Clemson and a Bachelor of Arts in Graphic Design (1996) from Gallaudet University, his expertise bridges ASL education and graphic design. He is pursuing ASLTA certification and actively participates in professional organizations such as the South Carolina American Sign Language Teachers Association (SCASLTA) and the South Carolina Association of the Deaf (SCAD). His professional development includes specialized training in ASL linguistics, Deaf culture, and ASL literature from Gallaudet University. Anthony designs educational materials, including logos and flyers for ASL-related organizations and events. He emphasizes cultural immersion in his teaching, fostering a supportive environment for students exploring ASL and Deaf communities. Beyond academia, he is an avid advocate for Deaf cultural awareness and maintains strong ties with the Clemson alumni community.

• American Sign Language (ASL) Education
• ASL Linguistics
• Second Language Acquisition
• +3 more

Tasha Goodrich is a Lecturer of American Sign Language (ASL) in the Department of Languages at Clemson University's College of Arts and Humanities. She joined Clemson in 2023 and teaches ASL courses ranging from introductory to advanced levels (ASL 1010–3020). Her expertise includes ASL linguistics, classifiers, translation techniques, and fingerspelling. She holds a Master’s in Secondary Education from Rochester Institute of Technology (RIT). Her teaching philosophy emphasizes fostering engagement with ASL’s linguistic and cultural dimensions. She highlights Clemson’s supportive community, describing the College of Arts and Humanities as a collaborative environment with strong Tiger pride. No academic awards or grants are listed in the provided materials. Her current responsibilities focus on classroom instruction and curriculum development in ASL education.

Donna ScheferView profile

Lecturer

• American Sign Language
• Deaf Education
• Language Acquisition
• +3 more

Donna Schefer is a Principal Lecturer in Communication Sciences and Disorders at the University of New Hampshire. She specializes in American Sign Language instruction and developing innovative programs for children with hearing loss. Education: M.Ed. in Education, Boston University B.S. in Education, Trenton State College Her current project, the Preschool Sign Language Pilot Program, represents New Hampshire's first hybrid program providing family sign language instruction to children with hearing loss aged 5-7 years. This initiative delivers school and home-based ASL instruction involving entire families, addressing critical language access needs during early development. Schefer teaches American Sign Language courses and has contributed to state educational guidelines for students who are deaf or hard of hearing. She serves on multiple departmental committees including Online Curriculum Development and Undergraduate Curriculum. With extensive clinical experience in neurogenic communication disorders, she founded the Clinic for Neurogenic Communication Disorders at UNH. Her work emphasizes evidence-based assessment and family-centered intervention strategies.

Sunny BryschView profile

Assistant Clinical Professor

• American Sign Language Education
• Deaf Culture Preservation
• Inclusive Pedagogy
• +1 more

Sunny Brysch is an Assistant Clinical Professor and Program Director for American Sign Language Studies at the University of Wisconsin-Milwaukee. With a master’s in clinical social work from Augsburg College and ASL certification from St. Paul College, she transitioned from mental health therapy to education. Previously coordinating ASL programs at the University of Minnesota-Duluth, her vision emphasizes cultural preservation, inclusivity, and allyship development through the '5 Cs': culture, community, cooperation, communication, and collaboration. She advocates for integrating Deaf community values into academic programs to ensure graduates promote linguistic diversity and accessibility.

• History of Nursing
• Nursing Education
• Student Well-being
• +4 more

Christine Corene Roberts is a Clinical Assistant Professor at The University of Texas at Arlington (UTA), serving in the College of Nursing & Health Innovation (CONHI) and the Nursing-Undergrad department. She has held roles such as Program Manager for Student Success (since 2024), Clinical Instructor, and Lead Instructor for courses like Professional Nursing & Life Skills. Her academic journey includes a BSN and MSN from UTA (2005, 2015) and an AA in Humanities (1996). Research Interests include the History of Nursing, Nursing Student Psychology (self-expectations, perfectionism, stress reduction), and Craft Psychology. She actively teaches courses such as N2232 and N3632, focusing on clinical foundations and professional development. Awards & Honors include the UTA CONHI Undergraduate Service Award (2020, 2024), Nurse Educator of the Year Nomination (2022), and recognition from Sigma Theta Tau and Phi Kappa Phi. Her service contributions span roles like Board Member of DFW Great 100 Nurses and involvement in nursing education initiatives. Roberts has produced educational videos (e.g., procedural techniques, online testing strategies) and contributed to creative projects like the UTA Nursing History exhibit. She also volunteers in community organizations, including the Embroidery Guild of America and Bluebonnet Knitting Guild.

• Green and Sustainable Computing
• High-Performance Computing
• AI-Driven Assistive Technologies
• +9 more

Dr. Ishfaq Ahmad is a Full Professor of Computer Science and Engineering at The University of Texas at Arlington (UTA) since 2002, with prior roles as Associate Professor and Director of the Multimedia Technology Research Center at the Hong Kong University of Science and Technology. He leads the Institute of Research in Security (IRIS) at UTA and has extensive industry collaboration, overseeing over $15M in research funding. His research focuses on sustainable computing, AI-driven assistive technologies, IoT, and high-performance computing. Dr. Ahmad has authored over 290 publications and holds prestigious awards including IEEE Fellow and IDES Distinguished Life Fellow. Education: PhD in Computer Science (Syracuse University, 1992), M.S. in Computer Engineering (Syracuse University, 1987), B.S. in Electrical Engineering (University of Engineering and Technology, Lahore, 1985). Research Interests: Green Computing, Exascale Systems, Assistive Technologies, Smart Grids, and STEM Education. His work emphasizes sustainability and interdisciplinary innovation, with contributions to video compression, parallel algorithms, and technology transfer. Awards & Grants: Over 40 international awards, including Google Scholar top rankings in multiple fields. Key grants include NSF-funded projects on assistive technologies and sustainable computing, along with industry partnerships like those with Adobe and Sun Microsystems. Labs & Leadership: Founded Journal of Sustainable Computing and the International Green and Sustainable Computing (IGSC) conference. Serves as Editor-in-Chief of Springer’s Discover Internet-of-Things and on editorial boards of IEEE journals.

• Learning Analytics
• Educational Technology
• Sign Language Translation
• +1 more

Dr. Sokratis Karkalas is a Senior Lecturer in Software Engineering at the University of Derby's College of Science and Engineering. His research develops technological solutions for educational challenges, particularly in learning analytics and assistive technologies. Research focuses on: Learning analytics infrastructure for open educational environments AI-powered sign language translation systems Polyglot programming education tools Stakeholder engagement in educational technology design Recent publications emphasize educational technology innovations that bridge theoretical frameworks with practical applications. Common themes include accessibility enhancements and 21st-century skill development through computational approaches.

Sadia NowrinView profile

Teaching Professor

• Accessibility
• Human Computer Interaction
• Natural Language Processing
• +3 more

Sadia Nowrin is a Teaching Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee (UWM). She is affiliated with the Engineering & Mathematical Sciences school within the university. Her research focuses on enhancing accessibility for individuals with disabilities through speech and language processing, including innovative applications in programming-by-voice systems and assistive technologies. She holds a PhD from Michigan Technological University and dual MS/BSc degrees in Computer Science from the University of Dhaka, Bangladesh. Dr. Nowrin's work spans multiple research areas: Accessibility (designing voice-based tools for motor-impaired programmers), Human-Computer Interaction (user preferences in voice programming), and Natural Language Processing (spell checking and error correction in Bangla). Her recent publications address leveraging large language models for spoken program recognition and improving eyes-free speech recognition error detection. Her earlier research contributions include foundational work in reversible computing , with publications on energy-efficient circuit designs like fault-tolerant multipliers and compact reversible memory systems. These contributions intersect with quantum computing and low-power electronics. No academic awards or grants are explicitly mentioned in the provided data. She has not reported current students or active grant funding in the text.