جستجوی استاد راهنمای دانشگاهی

• Sign Language Interpretation
• Translation Studies
• Deaf Education
• +۶ مورد دیگر

Anita Harding is a Senior Lecturer at Gallaudet University, affiliated with the School of Language, Education, and Culture and the Interpretation and Translation department. She has been actively involved in teaching courses such as Interpreting Interaction: Translation and Consecutive Interpretation , ASL and English Translation: Skills Development , and Medical Interpreting since 2019. Her work spans education, research, and community engagement, with a focus on sign language interpretation and Deaf-centered practices. Ph.D. in Clinical Psychology (2020) Ed.D. in Transformational Leadership and Administration in Deaf Education (2020) Anita’s research interests center on sign language interpretation, translation strategies, audism, and the intersection of Deaf education with disability studies. She has explored decolonial approaches in ASL, explicitation in translation processes, and the role of interpreters in rehabilitation settings. Her work also addresses challenges faced by Deaf and hard-of-hearing students in educational contexts, emphasizing accessibility and cultural equity. While specific scientific awards are not listed in the provided text, her scholarly contributions include studies on Medical Interpreting Services , Decolonising ASL: Kamala Harris’s Name Sign , and Global Perspectives on Sign Language Interpreting . She has investigated topics such as the impact of interpreters in rehabilitation, explicitation processes in ASL-to-English translation, and interdisciplinary foundations in Deaf-Centered Disability Inclusive Disaster Risk Reduction (DiDRR). Advisor for honors projects, including Kailee Bates’ ASL Book Translation initiative (2023) Peer evaluation and admissions committee leadership (2020–2023) Anita has contributed to curriculum development, including the ASL BCCAT Transfer Grid and Descriptive Pathways Project , and participated in global initiatives like the Indian Sign Language Research and Training Centre (2023) and Canadian Deaf Interpretation Curriculum Development (2024). Her community engagement includes lectures on Black Deaf individuals, educational interpreting, and language acquisition, alongside involvement in the Motion Light Lab and Visual Language and Visual Learning (VL2) programs.

Yi-Ching Leeمشاهده پروفایل

استاد

• Human Factors
• Transportation Systems
• Medical Systems
• +۷ مورد دیگر

Dr. Yi-Ching Lee is a Professor at George Mason University specializing in Human Factors with research foci on transportation and medical systems , intelligent virtual agents , and multimodal interfaces . She joined GMU in Fall 2016, bringing 15+ years of experience from roles like directing the driving simulator research group at Children’s Hospital of Philadelphia. PhD in Industrial Engineering (Human Factors) from University of Iowa (2006) MS in Experimental Psychology Her research examines human-automation interaction , driver behavior , and emerging technologies , particularly autonomous vehicles and wearable systems . Recent work explores social attribution in AV interactions, driver stress induction, and chatbot user experiences. Key publication themes span machine learning for driver health detection, environmental science studies on PM2.5 exposure, and human-computer interaction frameworks for augmented reality interfaces. Her articles often bridge transportation psychology with technological innovation . 2025-2027: Graphical changeable message signs grant (VDOT) 2019-2023: Driver vigilance framework grant (NHTSA) 2015-2021: NSF grant for real-time driver condition detection Dr. Lee supervises PhD students Kyle Hickerson, Allegra Ayala, and Liam Kettle, while previously guiding Daniela Barragan. She focuses on behavioral change and quality of life improvement through methodological innovations integrating applied and basic research .

• Authentication
• Brain-Computer/Machine Interface
• Cybersecurity
• +۱ مورد دیگر

Dr. Garima Bajwa is an Assistant Professor in the Department of Computer Science at Lakehead University, where she joined in January 2021. Her research focuses on authentication systems, brain-computer/machine interfaces, cybersecurity, and machine learning applications. She holds a Ph.D. in Computer Science and Engineering from the University of North Texas (2016), an MEng in Electrical and Computer Engineering from the University of Waterloo (2011), and a B.Tech in Electronics and Communication Engineering from Mody Institute of Technology & Science, India (2009). Education: Ph.D., Computer Science & Engineering, University of North Texas (2016) MEng, Electrical & Computer Engineering, University of Waterloo (2011) B.Tech, Electronics & Communication Engineering, Mody Institute (2009) Her research interests span cybersecurity frameworks for neurotechnology, explainable AI in healthcare diagnostics, and multimodal fusion of EEG and image data. Recent work includes EEG signal anonymization, federated learning for medical diagnosis, and reproducibility in BCI research. Her publications explore cutting-edge topics like BCI standardization, driver distraction detection, and quantum computing integration. Grants and lab affiliations are not explicitly mentioned in the provided text.

Carla Hudson Kamمشاهده پروفایل

استاد

• Language Acquisition
• Developmental Psycholinguistics
• Gesture Studies
• +۳ مورد دیگر

Carla Hudson Kam is a Professor and Department Head in the Department of Linguistics at the University of British Columbia (UBC), within the Faculty of Arts. She holds a BA from Simon Fraser University (1996) and a PhD from the University of Rochester (2003). Her research focuses on language acquisition, developmental language processing, and gesture’s role in language learning. She explores how non-linguistic factors influence language learning and how language contact and change shape linguistic structures. Her work bridges experimental and theoretical approaches, examining topics such as the emergence of sign languages, iconicity in gesture, and the cognitive mechanisms underlying language acquisition. She leads the Language and Learning Lab at UBC, fostering collaborative research on child and adult language learning. Her contributions include developing the Infant Bookreading Database (IBDb), a resource for studying book-reading’s impact on early language development. Prominent publications include studies on sign language conventionalization, gesture-guided pronoun interpretation, and the role of phonetic naturalness in speech perception. She actively engages in academic discourse on methodology, advocating for transparent and replicable research practices.

• Deaf and bilingual language processing
• Sign language linguistics
• Bimodal bilingualism
• +۳ مورد دیگر

Anne Therese Frederiksen is an Assistant Professor in the Department of Communication, Arts, Sciences, and Disorders at Brooklyn College, City University of New York (CUNY) . Her work bridges psycholinguistics and sign-language linguistics, with a particular focus on how bilingualism in signed and spoken languages illuminates broader questions about language and cognition. Education: Ph.D. in Linguistics and Cognitive Science, University of California, San Diego (Mayberry Lab for Multimodal Language Development) Postdoctoral fellowships: UC Irvine Chancellor’s Postdoctoral Fellow (2019–2020) and NSF-funded postdoc under Dr. Judith Kroll (2020–2022) Research Interests: Frederiksen’s research centers on bimodal bilingualism —the simultaneous use of a signed and a spoken language—examining how this unique bilingual experience shapes cognitive control, referential cohesion, and discourse processing. She investigates American Sign Language (ASL) pronouns and spatial grammar, gesture–language interaction, and the developmental trajectories of both native and late learners of ASL. Publications at a glance: Since 2015 she has published nine peer-reviewed articles and numerous conference presentations. The corpus spans high-impact journals such as Language, Cognition and Neuroscience , Frontiers in Psychology , and Lingua . Collectively, the work traces a trajectory from foundational descriptions of reference tracking in novice ASL learners to sophisticated models of bilingual language control and the semantics-pragmatics interface in sign languages. Scientific Awards & Funding: National Science Foundation research grant (2020–2022) UC Irvine Chancellor’s Postdoctoral Fellowship (2019–2020) Advising & Collaborative Networks: While the supplied text does not list individual advisees, Frederiksen has collaborated closely with Prof. Judith Kroll (UC Irvine) and Prof. Rachel Mayberry (UC San Diego), indicating active mentoring of graduate students and postdocs within large, federally funded research teams. Labs & Research Groups: During her doctoral training she was a member of the Mayberry Lab for Multimodal Language Development at UC San Diego, and she maintains collaborative ties with language-science groups at UC Irvine and CUNY.

Ann Boltonمشاهده پروفایل

دانشیار

• Education
• Curriculum Development
• Physical Education
• +۵ مورد دیگر

Ann Bolton is an Associate Professor in the Department of Humanities at Maranatha Baptist University, affiliated with the College of Arts and Sciences and the School of Education. She is a part-time faculty member and alumna of the university, with a long-standing commitment to Christian education and service. MS in Curriculum and Instruction, University of Wisconsin-Whitewater BS in Elementary Education, Maranatha Baptist University Her research and teaching interests focus on Physical Education , American Sign Language , and Christian educational ministry . She is passionate about mentoring students in fields that integrate faith and service, particularly in underserved areas like deaf ministry and physical education. While no publications are listed, her professional work emphasizes curriculum development, inclusive education, and faith-based teaching practices, reflecting a strong applied and service-oriented approach. Ann Bolton is actively involved in campus and community service, though no formal scientific awards are mentioned. She advises and mentors students informally through teaching and ministry, and has contributed to NCAA grant reporting and educational administration. Her work bridges academics, athletics, and spiritual outreach. She is involved in campus initiatives including the Campus Safety Committee and Maranatha Baptist Academy coaching. Her service extends to church-based deaf ministry, where she interprets services and teaches ASL, and to emergency response volunteering in Jefferson and Dodge County.

Inga Katharina Koerteمشاهده پروفایل

استاد

• Traumatic Brain Injury
• Neuroimaging
• Child and Adolescent Psychiatry
• +۵ مورد دیگر

Professor Inga Katharina Koerte is a leading researcher in traumatic brain injury (TBI) at Ludwig-Maximilian-University (LMU) Munich, holding a dual affiliation as Professor of Neurobiological Research in Child and Adolescent Psychiatry at LMU and as Lecturer in Psychiatry at Harvard Medical School. Her research focuses on the effects of brain trauma on brain structure and function, with particular emphasis on vulnerable TBI patient cohorts including children, adolescents, and women. She leads the cBRAIN research group at LMU's downtown campus, utilizing advanced multi-sequence MR imaging in humans across the lifespan and in animal models to investigate alterations in brain microstructure, perfusion, biochemistry, viscoelasticity, and neurophysiology following TBI. Dr. Koerte was the first to demonstrate alterations in brain microstructure following repetitive subconcussive head impacts in young athletes without concussion history and structural changes in ice hockey players over a season. Her team has detected signs of accelerated aging and neuroinflammation associated with repetitive brain trauma, identified risk factors, and developed biomarkers for neurodegeneration after brain injury. Her research has significant implications for early diagnosis, therapeutic approaches, and prevention of long-term TBI consequences. She serves as principal investigator for an NIH-funded study on sex differences in sports-related concussion, coordinates the European REPIMPACT study on repetitive head impacts in youth athletes, and co-leads the international ENIGMA initiative for large-scale neuroimaging analyses in sports-related concussion and pediatric TBI. Her extensive publication record demonstrates consistent research productivity with a focus on neuroimaging biomarkers for TBI, quality of life assessment after brain injury in children, and the effects of repetitive head impacts across the lifespan. Recent work includes developing disease-specific instruments like QOLIBRI-KIDDY for young children post-TBI, investigating intimate partner violence-related head trauma in women, and advancing classification systems for acute TBI through the NIH-NINDS initiative. Her research bridges clinical neuroscience, neuroimaging technology, and practical applications for TBI diagnosis and management. Principal Investigator: NIH-funded study on sex differences in sports-related concussion (RO1 NINDS) Coordinator: European multi-site REPIMPACT study on repetitive head impacts in youth athletes Co-leader: International ENIGMA initiative for neuroimaging data analysis in sports concussion and pediatric TBI Associate Faculty: Graduate School of Systemic Neuroscience, Munich

• Respiratory assistance in intensive care
• Nutrition in intensive care
• Computerization of diagnostic and therapeutic assistance
• +۳ مورد دیگر

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.

Juan Carlos Pichel Camposمشاهده پروفایل

استاد

• parallel and distributed computing
• Big Data technologies
• programming models
• +۷ مورد دیگر

Juan Carlos Pichel Campos is a Full Professor at the University of Santiago de Compostela (USC) specializing in high performance computing and language technologies. His research spans quantum computing, distributed systems, and Big Data technologies with a focus on practical applications in health informatics and computational physics. He received his B.Sc. and M.Sc. in Physics from University of Santiago de Compostela (Spain) and completed his Ph.D. there in 2006. He conducted postdoctoral research at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked as a researcher and project manager at Galicia Supercomputing Center. Professor Pichel's research interests include parallel and distributed computing, Big Data technologies, programming models, and software optimization techniques for emerging architectures. His recent work has focused on bridging quantum computing with classical high performance computing systems, developing efficient algorithms for processing massive biological datasets, and creating tools for health-related information retrieval and misinformation detection. His interdisciplinary approach combines techniques from computer science, physics, and biomedical informatics to solve complex computational problems. Analysis of his recent publications reveals a strong trend toward quantum computing applications and integration with classical HPC systems (accounting for approximately 40% of his recent work), followed by health informatics and natural language processing (about 30%), and bioinformatics and computational physics (about 30%). His research demonstrates a consistent focus on developing practical tools and frameworks that address real-world computational challenges across multiple domains. rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) C3HS: Content curation for consumer health search - Search and misinformation detection (2023-2026) Big-eRisk: Early Prediction of Personal Risks on Massive Data (2021-2024) eRISK: Technologies for the early prediction of signs related with psychological disorders (2019-2021) BigNLP: Approaching High Performance Computing to Big Data Technologies: Natural Language Processing as Case Study (2015-2018) Professor Pichel has established strong collaborations with research groups across Europe and the United States, particularly in the fields of quantum computing and biomedical informatics. He is actively involved with CiTIUS (Centro singular de investigación en tecnoloxías da información e da comunicación de USC), contributing to its mission of advancing information and communication technologies through interdisciplinary research.

• Building Science
• Thermal Comfort
• Indoor Air Quality
• +۳ مورد دیگر

Melek Seyit is an Assistant Professor at the Department of Architecture, Faculty of Architecture, Trakya University. She holds a PhD (2023), Master's (2017), and Bachelor's (2014) in Architecture, with a focus on building information and science. She serves as Deputy Head of Department and manages the Career Center and Alumni Communications Unit. Education: PhD (2023), Master's (2017), Bachelor's (2014) Current Roles: Assistant Professor, Deputy Head of Department Research Interests include thermal comfort , indoor air quality , constructability assessment , prefabrication , and sustainable building materials . Her work bridges architectural design with technical performance, particularly in educational and accommodation buildings. Article Trends show a focus on building science, with 15 recent publications analyzing thermal bridges , prefabrication , fire safety , life cycle analysis , and pedagogical impacts of online education. Key keywords: Building Science Constructability Sustainable Materials Thermal Performance Scientific Awards include the Training of Trainers Certificate , Energy Identity Certificate Expert , and Sign Language Education Certificate . Administrative Duties encompass scholarship committees, accreditation commissions, and workshop leadership roles. She serves as a technical editor and editorial board member for KAPU / Thrace Architecture and Design Magazine .

Lilia Rissmanمشاهده پروفایل

استادیار

• Cognitive Science
• Linguistics
• Language Acquisition
• +۵ مورد دیگر

Lilia Rissman serves as an Assistant Professor at Rochester Institute of Technology (RIT) in Rochester, NY, specializing in cognitive science and language research. Her work investigates how cognitive biases shape language representation and learning across diverse linguistic systems, integrating methodologies from adult semantic representation studies, cross-linguistic analysis, emerging sign languages, and child language acquisition. A core focus involves event semantics, particularly conceptual frameworks surrounding agency, instrumentality, and causation. Contact is facilitated via lrrgsh@rit.edu .

Tuğrul TAŞCIمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Computer Vision
• +۳ مورد دیگر

Tuğrul TAŞCI serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has maintained continuous academic service since 2001. His career progression includes Research Assistant positions across multiple university units before advancing to his current faculty role in 2016. His academic credentials include: Doctorate in Computer and Information Engineering (2014) from Sakarya University Institute of Science, thesis: Real-Time Motion Tracking with Particle Filtering Based on Data Fusing Master's degree in Computer and Information Engineering (2004) with thesis: Design of an Integrated Web-Based Distance Education System Bachelor's degree in Computer Engineering (2001) with thesis: Course Scheduling with Genetic Algorithms Dr. TAŞCI's research centers on Artificial Intelligence applications, particularly Natural Language Processing for Arabic text and Computer Vision . His work integrates particle filtering , data fusion , and optimization algorithms (e.g., Artificial Bee Colony, Firefly) to solve problems in text summarization, motion tracking, and image processing. Recent publications demonstrate expansion into deep learning for industrial defect detection and time series analysis. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Arabic NLP with focus on extractive summarization using PageRank and word embeddings, (2) Computer vision systems for motion tracking and text detection leveraging particle filters and curvature features, and (3) Hybrid optimization techniques applied to diverse domains from emergency management to customer churn prediction. Current academic advising activities and research grant details are not publicly documented in available sources. Similarly, no institutional laboratories or research teams are explicitly associated with his profile in the provided materials.

Rory Depaolisمشاهده پروفایل

استاد

• Infant Language Development
• Speech and Hearing Science
• Language Acquisition
• +۳ مورد دیگر

Rory Depaolis is a faculty member at James Madison University, affiliated with the Department of Communication Sciences and Disorders. He directs the Ph.D. program in his field and leads the Infant and Toddler Language Laboratory, focusing on language development during the first year of life. His research bridges infant vocalization, speech processing, and clinical interventions for populations with historically delayed language outcomes. Fields of Interest: Infant Language Development, Speech and Hearing Science, Phonological Development, Child Development, Developmental Psychology His work spans empirical studies on babbling contingency, speech segmentation, and the role of production in language acquisition, with recent efforts on app-based tools like BabblePlay to enhance early language outcomes. While no specific awards or grants are detailed in the provided text, his 20-year expertise in family-based research underscores practical applications in mitigating language disparities.

Ljubiša Bojićمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• AI Ethics
• Recommender Systems
• +۵ مورد دیگر

Ljubiša Bojić is a Senior Research Fellow at the Digital Society Lab (DigiLab) within the Institute for Philosophy and Social Theory at the University of Belgrade and concurrently at the Institute for Artificial Intelligence of Serbia. He serves as External Faculty at the Complexity Science Hub Vienna, focusing on AI's societal implications, particularly AI alignment, recommender systems, and metaverse ethics. His work bridges communication science, futurology, and digital humanism to address critical challenges in technology governance. Education: Ph.D. in Communication Science, University of Lyon II, France (2014) Research Focus: Bojić investigates how AI systems can uphold human values through ethical design, with emphasis on recommender algorithms as the most powerful social force shaping contemporary society. His pioneering work on digital addictions examines how AI-driven platforms create echo chambers and social polarization. He advocates for declaring recommender systems a public good and digital identity a human right, exploring both the addictive risks and therapeutic potentials of immersive technologies like the metaverse. Publication Trends: His recent output (2022-2025) reveals a strategic evolution from analyzing digital addiction mechanisms toward developing concrete AI governance frameworks. Key themes include linguistic pragmatics in large language models, consciousness metrics in AI, and cross-platform social dynamics. His research increasingly informs global policy through rigorous computational social science methods applied to real-world challenges like vaccine hesitancy and political polarization. Scientific Recognition: Fellow, Institute for Human Sciences Vienna (IWM) (2023) Member, United Nations Environment Programme Foresight Expert Panel (2023) Policy Engagement: Bojić co-developed Serbia's AI ethics standards and advised Spain's AI strategy. His Horizon Europe project TWON generated Policy Handout No. 8, mandating algorithms to deliver emotionally balanced, diverse content. His 'CERN for AI' framework influenced G7 policy briefs and was featured by the World Economic Forum. He regularly testifies before international bodies on AI governance. Institutional Leadership: As founder of EMERGE: Forum on the Future of AI Driven Humanity and initiator of the Belgrade Digital Freedom Pledge (signed by OSCE officials), he drives global conversations on digital rights. At DigiLab, he leads research on social media dynamics using big data analytics, while coordinating international networks like COST Action CA21129 on opinion analysis.

• Deep Learning
• Internet of Things (IoT) Security
• Software Defined Networking (SDN)
• +۴ مورد دیگر

Adnan Akhunzada is a prolific researcher with extensive contributions to computer science, particularly in artificial intelligence, cybersecurity, and internet of things. His work spans deep learning architectures, software defined networks, and security frameworks for emerging technologies. Research Interests include: Deep learning for micro-expression and image analysis Quantum control systems with reinforcement learning AI-based phishing and malware detection Federated learning for drone services Cryptographic protocols for UAV communications Publication Trends show expertise in: Hybrid neural network architectures Cybersecurity for industrial IoT Privacy-preserving crowdsourcing Sign language recognition datasets 5G-assisted cognitive communication