جست‌وجوی استاد و پژوهشگر

Lisa Broussardمشاهده پروفایل

دانشیار

• Nursing Education
• School Nursing
• Neonatal Nursing
• +۳ مورد دیگر

Lisa Broussard serves as Associate Professor and Dean of the College of Nursing & Health Sciences at the University of Louisiana at Lafayette, holding the Acadian Ambulance Emergency Nursing Professorship. With faculty service since 1992 and administrative leadership since 2011, she directs academic operations while maintaining active research in nursing education and clinical practice. Her educational qualifications include: Bachelor of Science in Nursing (1985) from University of Southwestern Louisiana Master of Science in Nursing (1991) from LSU Medical Center Doctor of Nursing Practice (2006) from LSU Health Sciences Center Dr. Broussard specializes in Nursing Education Administration, focusing on School Nursing, Neonatal Care Quality Improvement, Simulation-Based Training, and Online Learning methodologies. Her work addresses critical gaps in inclusive educational environments, antibiotic stewardship in NICUs, and emergency response systems in school settings through evidence-based interventions. Recent publications reveal consistent emphasis on practical healthcare education solutions, particularly quality improvement in neonatal sepsis management, simulation accreditation frameworks, academic coaching efficacy in virtual nursing programs, and implementation science for school-based AED programs. Her professional recognition includes: Leadership Lafayette Class XXXV UL Lafayette Faculty Representative for University of Louisiana System Management Institute (2019-2020) Fellowship in Louisiana State Nurses Association (2019) As an active contributor to nursing advancement, she engages with Louisiana State Nurses Association, Sigma Theta Tau International Honor Society (Delta Eta Chapter), Louisiana Council of Administrators in Nursing Education, and Louisiana Simulation Medical Training Council. Her collaborative work spans student research in online nursing education, school health initiatives, and nursing administration best practices.

Ashok Goelمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Science
• Learning Technology
• +۴ مورد دیگر

Ashok Goel is a Professor of Computer Science and Human-Centered Computing at Georgia Institute of Technology and Chief Scientist at Georgia Tech’s Center for 21st Century Universities (C21U). He also serves as Executive Director of the NSF-funded National AI Institute for Adult Learning and Online Education (AI-ALOE). His research spans cognitive systems, artificial intelligence, and education, with a focus on computational design, creativity, and AI-driven educational technologies. Professor, School of Interactive Computing, Georgia Tech Chief Scientist, Center for 21st Century Universities Executive Director, NSF’s National AI Institute for Adult Learning and Online Education Goel’s research explores the intersection of AI and cognitive science, particularly in computational design, creativity, and biologically inspired design. His recent work emphasizes AI in education, including virtual teaching assistants like Jill Watson (powered by ChatGPT) and frameworks for scalable, human-centric AI-augmented learning. He investigates explainable AI, multimodal educational systems, and bidirectional feedback mechanisms to enhance personalized learning experiences. Award highlights include: AAAI’s Outstanding AI Educator Award Fellow of AAAI and Cognitive Science Society University System of Georgia Regent’s Award for Scholarship of Teaching and Learning Goel leads the Design Intelligence Laboratory at Georgia Tech, mentoring a team of graduate and undergraduate researchers. His contributions to AI education include pioneering Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program and developing blended learning frameworks. He also co-founded the AI-based educational startup Beyond Question (LLC) in 2020.

CHEN Siyuanمشاهده پروفایل

دانشیار

• Evidence Law
• Civil & Criminal Procedure
• Family Law
• +۷ مورد دیگر

CHEN Siyuan is a Full-time Faculty Associate Professor of Law at the Yong Pung How School of Law (YPHSOL), Singapore Management University (SMU), serving concurrently as Associate Dean (Student and Alumni Affairs) since July 2022 and Director of Moots since September 2020. He holds additional roles including Chairperson of the SMU Faculty Mooting Committee and membership in the Singapore Academy of Law since 2007. His legal career began as an Assistant Registrar at the Supreme Court of Singapore (2008–2009) and included adjunct faculty roles at NUS (2008–2009) and SMU (2008–2010). Academically, he earned an LL.B. (First Class Honours) from NUS (2007) and an LL.M. from Harvard University (2010). Notable recognitions include the Student Life Award (2018), Lee Kong Chian Fellowship (2015), and Alona E. Evans Award at the Jessup Moot (2007). He has served as a law clerk to Singapore’s Justices (2007–2009) and completed international clerkships at Gray’s Inn and Freshfields Bruckhaus Derringer in London. His research focuses on Evidence Law , Civil & Criminal Procedure , Family Law , Technology Law , and Legal Education . Key publications include The Law of Evidence in Singapore (2025), Halsbury’s Laws of Singapore: Civil Procedure (2024), and Annotated Statutes of Singapore: Evidence Act (2023). Recent work addresses online hate speech regulation, autonomous vehicle liability frameworks, and procedural reforms in family law. CHEN has authored over 50 scholarly articles and reports, with recent themes including judicial discretion in evidence exclusion, tiered standards of proof in international courts, and balancing technological innovation with legal safeguards. His academic contributions span Singapore’s legal reforms, including the 2021 Rules of Court and family justice system modernization. He teaches courses in Evidence & Civil Procedure , International Moots I & II , and Appellate Advocacy Skills . His professional service includes moot coaching, curriculum development, and advising on legal education policy.

• Artificial Intelligence and Data Science
• Decision Making & Optimization
• Machine Learning & Intelligence
• +۸ مورد دیگر

Min Lee is a Full-time Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS). Holding a PhD from Carnegie Mellon University (2021), Lee specializes in Artificial Intelligence with a focus on Human-AI Collaborative Systems and their applications in healthcare. Their research bridges technical innovation with human-centric design, emphasizing trustworthiness, explainability, and accessibility in AI systems. Research interests include decision-making optimization, human-machine collaboration, and AI-driven solutions for healthcare challenges such as stroke rehabilitation, elderly care monitoring, and clinical decision support. Lee has pioneered low-cost AI/robotic solutions for post-stroke rehabilitation exercises, integrating socially assistive robotics with real-time feedback mechanisms. Recent work highlights AI's role in enabling trustworthy clinical decision-making through explainable AI (XAI) techniques like counterfactual explanations and gradient-based methods. Their systems address ethical concerns in predictive healthcare and advocate for stakeholder-inclusive design processes. Awards and grants: No specific awards mentioned in the profile, though research has been supported through collaborative projects with clinical partners and iterative user evaluations involving therapists and patients. Advising focuses on multidisciplinary projects spanning AI, healthcare, and human-computer interaction. Current advisees include BHOSALE Rimmon Saloman, TRAN Truong Thuy, and YANG Xinlin. Lee collaborates closely with clinical stakeholders to translate technical advancements into practical healthcare solutions, emphasizing iterative design and real-world applicability. Labs/teams: Active in SCIS's AI and Data Science initiatives, leading projects on intelligent decision support systems, socially assistive robotics for rehabilitation, and human-centered AI ethics frameworks.

• Exercise Physiology
• Clinical and Sports Nutrition
• Sports Science and Technology
• +۵ مورد دیگر

Professor Stephen Bird is a renowned performance scientist and strength and conditioning expert at the University of Southern Queensland (USQ), leading the School of Health and Medical Sciences. He holds the title of Professor (Sport and Exercise Science) and directs the High-Performance Sport program. His roles include Editor-in-Chief of the International Journal of Strength and Conditioning and advisor to organizations like the Australian Strength and Conditioning Association. Education: BHumMov(ExSc), BHumMov(Hons), and PhD from Charles Sturt University. Research Focus: Strength and conditioning methodologies, nutritional supplementation, athlete recovery, and technology-driven performance optimization. Key Projects: '2 WIN 2032' student-athlete empowerment initiative, NBA sleep health studies, and blood flow restriction (BFR) training for muscle/bone health in space travel. Affiliations: Institute for Resilient Regions (IRR), National Health and Medical Research Council (NHMRC) peer review, and collaborations with Flinders University, University of Gloucestershire. Research interests span elite athlete performance (basketball, rugby, hockey), female athlete health, and applications of pupillometry and wearable tech for fatigue monitoring. Awards include the prestigious ESSA Medal (2006) and Life Membership (Western Region Academy of Sport). Teaching includes courses on strength training, sports nutrition, and athlete workload monitoring. He has supervised over 20 doctoral and master’s students, contributing to >40 research outputs annually. Grants include a $832k Quantum wearable sensor project (2024) and $240k AI-driven motion capture initiative. His work bridges academia and elite sport, advising teams like the Brisbane Bullets (NBL) and GB Women’s Basketball. Recent trends in publications emphasize NBA performance metrics, sleep science, and interdisciplinary solutions for athlete resilience.

Justin J. Westمشاهده پروفایل

استادیار

• Music Education
• Teacher Professional Development
• Arts Education Policy
• +۳ مورد دیگر

Justin J. West is an Assistant Professor of Music and Human Learning at The University of Texas at Austin's Sarah and Ernest Butler School of Music. He previously held positions at LSU, where he received the 2021 Rising Faculty Research Award. His research focuses on music teacher professional development (PD), organizational resilience in music programs, and arts education policy. West teaches courses on children’s musical development, qualitative research, and arts education law. Educations: Ph.D. in Music Education, University of North Texas M.A. in Music Education, Columbia University B.M. in Music Education, Lamar University Research Interests: Music teacher learning trajectories, pandemic-era PD adaptations, policy frameworks for arts education, and organizational strategies for rebuilding music programs. He employs qualitative, quantitative, and mixed-methods approaches to study how PD impacts teacher motivation and institutional sustainability. Articles Trends: His recent work analyzes post-pandemic PD innovations, comparative studies between music and non-music teacher practices, and longitudinal evaluations of certification pathways. Themes emphasize system-level coordination, crisis-driven educational changes, and evidence-based policy design. Awards: 2021 Rising Faculty Research Award (LSU) Sandra E. New Endowed Professorship Fellowship Butler School of Music Endowment Fellowship Advising & Grants: Recipient of UT Austin’s Office of the Vice President for Research grants. Leads PD design initiatives for Louisiana and Texas music teachers. Active in the Society for Music Teacher Education’s professional development working group. Labs/Teams: Collaborates with editorial boards of Journal of Research in Music Education and International Journal of Research in Choral Singing . Coordinates reciprocal peer coaching programs for music educators.

Cengiz Hakan Aydinمشاهده پروفایل

استاد

• Open and Distance Learning (ODL)
• Educational Technology
• Artificial Intelligence in Education
• +۵ مورد دیگر

Cengiz Hakan Aydin , PhD, is a full professor at Anadolu University in Turkey, where he has been a faculty member since the early 1990s. He currently serves as the Head of the Distance Education Department in the Faculty of Open Education and is the Director of the OpenAnadolu Project , which includes the AKADEMA MOOCs platform. Additionally, he holds the role of Director of the Office of Learning and Teaching Enhancement at Özyeğin University . Dr. Aydin’s research is centered on the design and development of open and distance learning (ODL) environments. His work explores the integration of emerging technologies such as AI, VR, AR, and MR into educational systems. He is deeply engaged in the study and promotion of Open Educational Resources (OER) , Open Educational Practices (OEP) , and Massive Open Online Courses (MOOCs) . His scholarly contributions also address current trends and challenges in higher education. Dr. Aydin has held leadership roles in several international organizations. He served as President and Board Member of the International Division at the Association for Educational Communications and Technology (AECT) , and as a Board Member of the International Council for Educational Media (ICEM) . He is currently a Steering Committee Member of the OpenupEd initiative under the European Association of Distance Teaching Universities (EADTU) , and a member of the AECT Board and the Centre for Distance Education Research (COER) . He is actively involved in editorial work, serving on the boards of International Review of Research in Open and Distance Learning (IRRODL) , Educational Media International (EMI) , and Journal of Open, Distance, and Digital Education (JODDE) . Research Projects and Grants: Volkswagen Foundation – AI in Education (AIEd) : Local researcher. Erasmus+ CRED4TEACH (MOOC-based micro-credentials for teacher professional development): Leading researcher at Anadolu University. Erasmus+ ADMIT (Generative AI and Large Language Models in Higher Education): Researcher. Anadolu University Internal Funds – Multiple projects including AI-based tools for writing skills, intelligent personal education coach, and automated grading systems for open-ended questions. Dr. Aydin serves as both Project Coordinator and Researcher . Labs and Teams: Dr. Aydin leads the OpenAnadolu Project , which encompasses platforms like AKADEMA and serves as a hub for innovation in distance education and MOOC development at Anadolu University.

• Perceptually guided graphics
• Virtual characters and crowds
• Virtual reality
• +۴ مورد دیگر

Cathy Ennis is an Assistant Professor in the Department of Computer Science at Maynooth University, Ireland, specializing in perceptually guided graphics and virtual reality. She is actively involved in research and teaching, with affiliations to the ADAPT Centre and D-REAL SFI Centre for Research Training. Education: BEng in Electronic Engineering, Maynooth University MSc in Cognitive Science, University College Dublin PhD in Computer Graphics, Trinity College Dublin PG Dip in Higher Education Teaching and Learning, DIT Research Interests: Dr. Ennis's research centers on creating realistic virtual humans and crowds, exploring multisensory perception in VR, and applying these technologies in serious games and interactive systems. Her work integrates AI, HCI, and immersive technologies to enhance user engagement and learning. Her recent publications reflect a strong focus on virtual character realism, VR-based education, and machine learning applications in animation and interaction. Notable themes include speech-animation realism, cultural VR experiences, and reinforcement learning for character control. Scientific Awards: Best Paper Award, IEEE VR 2022 Teaching and Supervision: Dr. Ennis currently teaches CS401 (Machine Learning and Neural Networks) and CS261 (Multimedia Technology). She is actively seeking PhD students and collaborators interested in VR, games, and virtual characters, particularly using machine learning for gesture generation and engagement. Labs and Teams: She is a Funded Investigator with the ADAPT Centre and D-REAL SFI Centre for Research Training, contributing to interdisciplinary research in AI, HCI, and immersive technologies.

Ilona Buchemمشاهده پروفایل

استاد

• Digital Media
• Communication
• Collaboration
• +۱۰ مورد دیگر

Prof. Dr. Ilona Buchem is a Professor of Communication and Media Studies at the Berlin University of Applied Sciences (BHT), Department I of Business and Social Sciences. She serves as Head of the Communication Laboratory and leads research in human-robot interaction, educational robotics, and technology-enhanced learning. Her work spans multiple interdisciplinary projects including Social Robotics, Open Virtual Mobility, and ePA-Coach, focusing on digital media for communication, collaboration, and digital sovereignty for older adults in healthcare contexts. Dr. Buchem holds a doctorate in business education from Humboldt University and a certificate in business administration from the University of St. Gallen, Switzerland. Her academic background bridges business education with digital media expertise, positioning her at the intersection of technology and communication for innovative educational approaches. Her research interests focus on human-robot interaction in educational contexts, social robotics for learning, AI applications in education, and digital media for communication and collaboration. She explores how robots can serve as educational tools in business studies, language learning, and health-related applications. Her work also investigates digital sovereignty, particularly for older adults using electronic health records, and the use of open digital credentials like Open Badges for recognizing learning achievements. The integration of gamification elements with social robots represents another significant strand of her research, enhancing student engagement and learning outcomes. Analysis of her recent publications reveals a strong focus on practical applications of social robots in educational settings, particularly examining student perceptions of different robot platforms (NAO, Pepper, Furhat). Her work increasingly integrates generative AI with robotics, exploring conversational interfaces and new learning paradigms. There's also a consistent thread examining digital literacy for seniors, especially regarding electronic health records, and innovative approaches to recognizing learning through micro-credentials and digital badges. Dr. Buchem actively supervises numerous bachelor's and master's theses across multiple programs including Business Administration: Digital Economy and Media Informatics Online. She has established a digital award system based on Open Badges to recognize outstanding thesis work with top grades. Her research is supported through various funding sources including BMBF, EU, DFG, and industry partners, with projects spanning social robotics, virtual reality applications, and digital credentialing systems that connect academic research with practical applications. She leads the Communication Laboratory at BHT and is actively involved in the 'House of Robotics' initiative at the university. Her work connects with international partners through projects like Social Robotics (EU) and Open Virtual Mobility, creating a global network for educational robotics research and development that bridges European institutions and promotes cross-cultural educational exchange.

• Human-Robot Interaction
• Rehabilitation Robotics
• Socially Assistive Robotics
• +۷ مورد دیگر

Carlos Cifuentes is an Associate Professor in Human-Robot Interaction at the Bristol Robotics Laboratory (BRL) , part of the University of the West of England (UWE Bristol) . He also serves as the Deputy Director of the VIVO Hub , a £13.4M UK-funded research initiative (2024-2030) focused on robotics for rehabilitation and healthcare. His research spans Human-Robot Interaction , Rehabilitation Robotics , Healthcare Robotics , and Socially Assistive Robotics , with applications for conditions such as cardiac diseases , post-stroke recovery , spinal cord injuries , cerebral palsy , Parkinson's disease , musculoskeletal disorders , and autism spectrum disorder (ASD) . Carlos has over 15 years of experience and 200+ publications in robotics for rehabilitation and assistive technologies. His recent work explores smart walkers with multimodal feedback, soft prosthetics using polymeric optical fiber sensors , and machine learning models for fatigue and stress estimation. He also investigates inclusive design for social robots in global contexts , including a CASTOR Robot for ASD therapy and collaborative design processes with Colombian communities. Carlos serves as an Associate Editor for IEEE Robotics and Automation Magazine (since 2021), ICRA , and IROS (since 2023). He leads projects integrating wearable sensors , deep learning , and haptic feedback to enhance mobility, autonomy, and quality of life for individuals with disabilities. As Deputy Director of the VIVO Hub, he focuses on long-term deployment of robotic systems in real-world healthcare settings, emphasizing collaboration with clinicians , caregivers , and neurodiverse communities . His work bridges robotics , biomedical engineering , and human-centered design .

Alison Clune Bergمشاهده پروفایل

دانشیار

• Community Nutrition Education
• Implementation Science
• Chronic Disease Prevention
• +۶ مورد دیگر

Dr. Alison Clune Berg is an Associate Professor and Extension Nutrition and Health Specialist at the University of Georgia's College of Family and Consumer Sciences. She holds a PhD, MS, and BS in Foods and Nutrition from UGA, graduating in 2015, 2009, and 2007 respectively. Her research evaluates community nutrition education programs to prevent chronic diseases like obesity, cardiovascular disease, diabetes, and cancer, with a focus on implementing evidence-based interventions through the Cooperative Extension model. Education: PhD, MS, BS in Foods and Nutrition from University of Georgia Current Role: Associate Professor and Extension Nutrition and Health Specialist Dr. Berg specializes in chronic disease prevention through community nutrition education, implementation science, and translational research. Her work includes the National Diabetes Prevention Program (DPP) and Cancer Prevention initiatives. She bridges academic research with real-world health promotion, particularly in rural Georgia. Recent projects analyze dietary behavior change, program feasibility, and health equity in underserved populations. Her recent publications (2023-2025) span implementation science, diabetes prevention, rural community health, and adolescent nutrition education. Awards include the 2024 Chris Todd Outstanding Outreach Award, multiple 2024 Georgia Extension Association first-place awards for curriculum development, and the 2023 D.W. Brooks Excellence in Extension. She has authored or co-authored 20+ peer-reviewed articles and extension publications, including peer-reviewed guides on nutrition labels, diabetes management, and cancer prevention. Scientific honors include: 2024 Chris Todd Outstanding Outreach Award 2024 Georgia Extension Association Team Awards 2023 D.W. Brooks Excellence in Extension 2022 NEAFCS National Educational Awards 2019 Educational Curriculum Package Awards Dr. Berg collaborates with county extension agents, leads state-wide nutrition programs like Cooking for a Lifetime of Cancer Prevention, and mentors graduate students. She supervises research through courses like NUTR 7000/9000 and guest lectures on nutrition-disease relationships.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +۳ مورد دیگر

Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.

Anastasia Kitsantasمشاهده پروفایل

استاد

• Self-Regulated Learning
• Educational Psychology
• Research Methodology
• +۲ مورد دیگر

Anastasia Kitsantas is a Professor of Educational Psychology at George Mason University's College of Education and Human Development. Her research focuses on self-regulation, metacognition, and motivation in educational contexts. Research interests include self-regulated learning across disciplines, metacognitive strategies, motivation in STEM education, and technology-enhanced learning environments. Publications demonstrate strong emphasis on self-regulation frameworks with applications in STEM education, metacognitive development, and technology integration, particularly examining how cognitive and motivational factors interact in learning processes.

Clint Bowersمشاهده پروفایل

استاد

• Technology in Mental Health
• Virtual Reality Therapy
• Game-Based Learning
• +۳ مورد دیگر

Clint Bowers is a Professor in the Department of Psychology at the University of Central Florida's College of Sciences. His research focuses on leveraging technology to address psychological disorders, including developing games for anxiety prevention in military personnel and alcohol abuse prevention in college students. He also explores virtual/augmented reality applications for PTSD treatment and clinical training innovations, translating learning science into practical tools for clinicians. Key areas of study include first responder mental health, workplace coaching efficacy, and team resilience in healthcare. Notable achievements include the 2018 Pegasus Professor award. His work emphasizes scalable interventions like mobile apps for emergency workers and VR exposure therapy trials. Collaborations focus on medical team performance, stress management, and digital health literacy. Recent research highlights include evaluating school shooting prevention strategies, revalidating mental health stigma scales for first responders, and advancing gamified learning platforms for healthcare training. His lab explores emerging technologies' ethical and practical implications in mental health delivery systems.

Anita Williams Woolleyمشاهده پروفایل

استاد

• Collective Intelligence
• Human-AI Collaboration
• Organizational Behavior
• +۵ مورد دیگر

Anita Williams Woolley is a Professor of Organizational Behavior and Theory at Carnegie Mellon University’s Tepper School of Business. She holds a PhD in Organizational Behavior from Harvard Business School, alongside a BA and MA in Psychology and Social Psychology from Harvard University. Her research focuses on collective intelligence, particularly in human-AI collaboration, team coordination, and the cognitive foundations of group performance. She is a Senior Editor at Organization Science and a founding Associate Editor of Collective Intelligence . Woolley’s work has been funded by DARPA, NSF, and the U.S. Army Research Office, including a $3M DARPA grant to advance artificial social intelligence. Her research has been published in top journals like Science , PNAS , and Nature Human Behavior . She explores how transactive memory systems, collective attention, and team composition enhance group performance, with recent studies on vocal and facial synchrony in teams and the impact of gender diversity on intelligence. Educations: PhD in Organizational Behavior, Harvard Business School MA in Social Psychology, Harvard University BA in Psychology, Harvard University Her research has practical implications for distributed teams and AI integration, including studies on hybrid intelligence and the design of collaborative tools. She co-leads the CI@CMU Lab and has advised organizations on optimizing team dynamics. Personal interests include fostering gender equality in science, as highlighted in her work on team diversity and the establishment of the Joe and Connie Williams Scholarship in her hometown. Woolley has held roles such as Associate Dean for Research at Tepper School (2022–2024) and has taught courses on managing teams and global collaboration. Her contributions extend to policy and public discourse on AI ethics and human-AI collaboration.