Find Academic Supervisors

• Human Interface and Interaction
• Ergonomics/Human Factors
• Virtual Reality
• +3 more

Takashi Kawai is a Professor at the Department of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University , since 2008. He earned his Ph.D. in Human Sciences (1998), MA (1995), and BA (1993) from Waseda University. His career includes visiting professorships at the Institute of Behavioral Sciences, University of Helsinki (2008–2016). Education: Ph.D., MA, BA in Human Sciences (Waseda University) Appointments: Waseda University (1998–Present), University of Helsinki (Visiting Professor) Research interests focus on Human Interface and Interaction , Ergonomics/Human Factors , and 3D Display Systems . He investigates VR Sickness , Visual Fatigue , and Cross-Modality Sensory Effects in virtual environments. Publication trends show a strong focus on VR User Experience , 3D Visual Systems , and Ergonomic Design for emerging technologies like Head-Mounted Displays and Automated Vehicles . His works often combine Psychophysiological Measurements with Human Behavior Analysis . Awards include: Japan Ergonomics Society Research Award (2022, 2009) Charles E. Ives Journal Award (2019) Best Paper Award (2014) The Best Use of Stereoscopic Presentation Tools (2004) Mobile Content Forum Mobile Movie Award (2001) Azusa Ono Memorial Award (1994) Labs and teams include collaborations with the Institute of Behavioral Sciences (University of Helsinki) , Virtual Reality Society of Japan , and projects involving NIRS brain imaging , Autostereoscopic Displays , and 3D Digital Archiving of cultural heritage.

• Virtual Reality
• Cognitive Ergonomics
• Human-Computer Interaction
• +5 more

Paulo Noriega is an Assistant Professor at Universidade de Lisboa's Faculdade de Arquitectura, where he researches human-environment interactions through virtual reality. As Vice-Director of ergoUX Lab, he leads studies in cognitive ergonomics, emotional design, and safety systems. His affiliations include: Research Centre for Architecture, Urbanism and Design (CIAUD) Interactive Technologies Institute UNIDCOM/IADE ADUUX (Association of Development of Usability and UX) His research examines how environmental variables influence behavior across three levels: perceptual responses to stimuli like light/color, decision-making in architectural spaces, and emotional engagement. Current projects include FEELS (VR study of home office ergonomics) and VR applications for building safety design. Noriega's 130+ publications demonstrate consistent focus on VR methodologies applied to evacuation behaviors, automotive interfaces, and cultural heritage. Recent work explores multimodal alarms in emergencies (2025), non-anthropomorphic AI agents (2026), and tangible interfaces in vehicles (2024). Key trends include human factors in safety-critical systems, affective computing, and cross-cultural UX evaluation. He teaches extensively in Design programs, covering cognitive ergonomics, emotional design, and neuroscience applications. As supervisor, he has guided multiple master's and PhD theses in Design and Ergonomics. His funded research includes 9 grants from Fundação para a Ciência e a Tecnologia, focusing on VR's role in safety systems and environmental interaction studies. At ergoUX Lab, Noriega's team develops VR protocols for evaluating architectural spaces, emergency responses, and user experiences. The lab's multidisciplinary approach integrates psychophysics, biosensors, and behavioral analysis to advance human-centered design.

• Health Psychology
• Pain Management
• Behavioral Medicine
• +4 more

Jeffrey W. Janata is a Professor with joint appointments in the Department of Psychiatry and Department of Reproductive Biology at Case Western Reserve University School of Medicine. He also serves as Division Chief of Psychology at University Hospitals Cleveland Medical Center. His academic affiliations include secondary faculty status at the Jack, Joseph and Morton Mandel School of Applied Social Sciences. Education: PhD in Clinical Psychology, Case Western Reserve University MA in Clinical Psychology, Case Western Reserve University BA in Psychology, Hamilton College His research focuses on interdisciplinary approaches to pain management and behavioral health, with specialized expertise in women's pelvic health, autonomic nervous system function in chronic pain conditions, and cognitive-behavioral interventions. Research domains span psychophysiology, behavioral medicine, and clinical psychology, with consistent emphasis on translating neurophysiological findings into therapeutic applications. Publication analysis reveals concentrated research in pelvic pain mechanisms (2014-2019), women's health psychology (2007-2022), and multidisciplinary pain management approaches. Recent work demonstrates evolution toward complex comorbidities and healthcare system challenges in chronic pain populations.

R James CottonView profile

Assistant Professor

• Artificial Intelligence
• Wearable Sensors
• Computer Vision
• +5 more

R James Cotton serves as Assistant Professor in the Department of Physical Medicine and Rehabilitation at Northwestern University's Feinberg School of Medicine and holds a secondary appointment in McCormick School of Engineering. As a physician-scientist at Shirley Ryan AbilityLab, he bridges clinical rehabilitation with advanced technological innovation. His academic foundation includes: BS in Electrical Engineering from Rice University (2004) BA from Rice University (2004) PhD in Systems Neuroscience from Baylor College of Medicine (2013) MD from Baylor College of Medicine (2014) Residency in Physical Medicine and Rehabilitation at Northwestern University / Shirley Ryan AbilityLab (2020) Cotton's research pioneers scalable AI-driven rehabilitation solutions through wearable sensors, computer vision, and biomechanical modeling. His lab developed a smartphone-based wearable sensor platform and markerless motion capture system enabling precise movement analysis in clinical settings. Key applications include gamified electromyographic biofeedback for spinal cord injury recovery and video-based gait analysis for precision rehabilitation interventions, emphasizing real-world clinical translation. Recent publications reveal a concentrated focus on neurological applications of computer vision: seizure detection via 3D neural networks, high-density brain-computer interfaces, and Parkinson's symptom monitoring through non-standard video analysis. This work establishes a clear trajectory toward non-invasive, clinic-ready diagnostic tools for epilepsy and movement disorders. No student advising information or research grants are specified in available materials. Operating from Shirley Ryan AbilityLab, Cotton's research team develops deployable technologies that transform rehabilitation through AI-augmented movement analysis, with strong institutional ties to Northwestern's Institute for Augmented Intelligence in Medicine.

• MR Physics
• Functional MRI
• Brain Mapping
• +5 more

Maolin Qiu, PhD, is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale University School of Medicine. Dr. Qiu is a key member of the Bioimaging Sciences division and works within the Magnetic Resonance Research Center (MRRC), where he contributes to cutting-edge neuroimaging and MR physics research. His work spans multiple collaborative projects across Yale's imaging facilities, including the Yale Biomedical Imaging Institute. Dr. Qiu holds a PhD in Artificial Intelligence and Computer Vision from the Institute of Automation (1996) and an MSc in Artificial Intelligence and Autonomous System Control from Beijing Institute of Technology (1993). His educational background in computer vision and AI provides a strong foundation for his current work in medical imaging physics and analysis. Dr. Qiu's research focuses on MR physics and applications, with particular expertise in functional MRI, cerebral blood flow measurement, anesthesia effects on brain function, and cardiac imaging techniques. His work bridges engineering principles with clinical applications, developing novel imaging methods to better understand brain function under various conditions including anesthesia. He has made significant contributions to understanding how anesthetic agents like sevoflurane affect regional cerebral blood flow, BOLD responses, and functional connectivity in the human brain. Analysis of Dr. Qiu's publication record reveals a strong focus on neuroimaging techniques, particularly fMRI methodology development and applications. His work spans multiple disciplines including neuroscience, anesthesiology, cardiology, and sports medicine. A consistent theme throughout his career has been the development and application of advanced MRI techniques to measure physiological parameters like blood flow and oxygenation in various tissues. Collaborates extensively with Todd Constable (5 publications) Works closely with Nallakkandi Rajeevan (5 publications) Partners with D. S. Fahmeed Hyder (3 publications) Collaborates with Michelle Hampson and Xenophon Papademetris (2 publications each) Has published with Albert Sinusas in cardiovascular applications Dr. Qiu's research has resulted in numerous publications spanning from 2004 to 2023, with recent work focusing on cardiac MRI techniques, ketamine effects on brain function, and software tools for improving MRI acquisition. His most recent publications demonstrate continued innovation in MR physics and applications across multiple organ systems. His work on HALO (a real-time head alignment tool) exemplifies his focus on practical solutions to improve MRI data quality through software development.

Niklas RavajaView profile

Professor

• Psychology
• Social Psychology
• Neuroscience
• +6 more

Niklas Ravaja is a Professor in the Department of Psychology at the University of Helsinki, where he serves as a Supervisor in multiple doctoral programs including Human Behavior, Cognition, Learning, Teaching and Communication, Social Sciences, and Population Health. He is also affiliated with the Helsinki Information Technology Research Institute. His research spans interdisciplinary domains connecting psychology with technology and neuroscience. Professor Ravaja's research focuses on the intersection of psychological processes, physiological responses, and technological interfaces. His work examines how social interactions manifest in physiological arousal, particularly in face-to-face versus mediated communication contexts. He investigates time perception alterations under different emotional and intentional states, exploring how cognitive processes influence temporal experience. His research on virtual reality environments examines emotional responses during intergroup encounters and the impact of haptic feedback on social interaction. Ravaja's work consistently integrates neuroscience methodologies with social psychology questions, creating innovative approaches to understanding human behavior in technologically mediated environments. Analysis of his recent publications reveals a strong trend toward neuroadaptive interfaces and physiological measurement in social contexts. His work increasingly focuses on comparing in-person versus mediated interactions, particularly examining how video communication alters physiological responses during self-disclosure. There's a clear progression from basic research on emotional responses to applied work on health behavior change through biofeedback applications. The integration of virtual reality with physiological measurement represents a significant methodological innovation across his recent work. Professor Ravaja has secured substantial research funding from the Academy of Finland, currently leading three active projects: Meta (focusing on programmable metasurface networks), EngIne (examining engagement in remote social interactions), and PREventive Care Infrastructure. His previous projects have included investigations of mediated haptic communication during social decision making. These projects demonstrate his ability to secure competitive funding for interdisciplinary research bridging psychology, neuroscience, and technology. His academic activities include extensive peer review work (17 instances documented), conference participation and organization (4 instances), editorial work, and academic visits to institutions including University Rennes 1 Graduate School of Management. He has also contributed to media discussions through interviews with Tietoviikko and Hämeen Sanomat, demonstrating his engagement with public discourse around psychological research.

• Medical Imaging
• Computer-Aided Diagnosis
• Machine Learning
• +7 more

Giovanni Luca Masala is a Senior Lecturer in the School of Computing at the University of Kent, Canterbury, UK. His verified institutional email is g.masala@kent.ac.uk, and he maintains an active ORCID profile (0000-0001-6734-9424). Dr. Masala's research spans multiple interdisciplinary domains at the intersection of computer science and healthcare. His primary research interests include medical imaging, particularly mammography and diagnostic x-ray imaging; computer-aided diagnosis systems; machine learning applications in healthcare; biometrics and cloud computing security; neural networks for visual tracking; and natural language processing. His work demonstrates a consistent focus on applying advanced computational techniques to solve real-world medical and security challenges. Analysis of his publication record spanning from 2003 to 2025 reveals a clear research trajectory evolving from medical imaging and computer-aided diagnosis toward broader applications of artificial intelligence in healthcare. Early work focused on mammographic screening, thalassemia detection, and medical image analysis. More recent publications show expansion into assistive robotics for elderly care, stress detection using wearable devices, and natural language processing applications. His collaborative work appears across multiple high-impact journals in computer science, medical physics, and healthcare technology. Dr. Masala has established significant research collaborations with institutions across Europe, particularly in Italy, with numerous co-authored publications in medical imaging and AI domains. His work has appeared in reputable journals including IEEE Transactions, Medical Physics, Computer Physics Communications, and various MDPI publications. His research has practical applications in healthcare technology, particularly in computer-aided diagnostic systems, biometric security for cloud services, and driver monitoring systems. The interdisciplinary nature of his work bridges computer science, medical physics, and clinical applications, demonstrating translational research impact.

Janell MensingerView profile

Associate Professor

• Eating Disorders
• Health Equity
• Weight Stigma
• +3 more

Dr. Janell Mensinger is an Associate Professor in the Department of Clinical and School Psychology at Nova Southeastern University, where she serves as full-time faculty. A Fellow of the Academy for Eating Disorders (FAED), her work critically examines eating disorders through trauma-informed and weight-inclusive frameworks while advancing health equity for marginalized populations. Her academic foundation includes: B.A. from West Chester University of Pennsylvania M.A. from City University of New York, Graduate Center Ph.D. from City University of New York, Graduate Center Post-doctoral fellowship at the University of Pennsylvania Dr. Mensinger's research program dismantles weight stigma in clinical practice while developing innovative interventions like HRV biofeedback for healthcare provider resilience. Her current pandemic-focused study addresses critical occupational stressors through physiological self-regulation techniques, reflecting her commitment to practical, equity-centered solutions in high-stakes medical environments. Her scientific recognition includes: Fellow of the Academy for Eating Disorders (FAED) Media features highlight her scholarship, including analysis of the failed 'war on obesity' paradigm and podcast discussions of her biofeedback research. As an active investigator, she secures funding for clinically relevant projects while mentoring psychology students in evidence-based, stigma-reducing approaches to eating disorder treatment. Though no formal lab structure is specified, her research initiatives form a cohesive program addressing systemic barriers in eating disorder care and provider well-being through rigorous clinical science and community-engaged methodology.

• Pediatric Psychology
• Diabetes Management
• Gender Health
• +4 more

Jacquelyn Smith, PhD, is an Assistant Professor in the Department of Pediatrics at the Medical College of Wisconsin, with joint appointments at Marquette University and University of Wisconsin-Milwaukee. She specializes in Pediatric Psychology with clinical expertise in diabetes, gender health, asthma, and critical care integration. Dr. Smith directs the MCW/CW Psychology Externship Program and co-chairs the Critical Care Special Interest Group. Her research focuses on: Integrated behavioral health in pediatric medical settings Mental health interventions for chronic illnesses Culturally-responsive care for marginalized populations Trauma-informed practices in critical care Recent publications (2014-2025) demonstrate strong focus on: psychological aspects of diabetes management, mental health integration in PICUs, culturally-competent care models, and therapeutic interventions for gender-diverse youth. Publication trends show increasing emphasis on systemic healthcare integration and health equity. Awards and honors: Children's Hospital Award for Innovation (2014) Excellence in Professionalism Award (2021) Julie Lathrop Nursing Research Award (2022) Dr. Smith mentors 2-3 psychology externs annually and has supervised 13+ graduate students. She secured funding from PCORI ($2,295) for family-centered diabetes care research. She developed several clinical programs including the Gender Health Clinic and REACH Diabetes Clinic. Programmatic developments include creating therapy groups for chronic illness patients, implementing depression screening protocols, and advancing psychology services in critical care through educational modules and bedside rounds integration.

• Rheumatic and Musculoskeletal Diseases
• Healthcare Inequalities
• Vocational Rehabilitation
• +5 more

Dr. Simone Battista is a Research Fellow in Physiotherapy at the University of Salford's School of Health & Society, where he is affiliated with the Centre for Human Movement and Rehabilitation. He also holds an Honorary Affiliated Researcher position at Lund University (2024) and plays significant roles in international rheumatology organizations. His research expertise centers on rheumatic and musculoskeletal diseases (RMD), with particular focus on how socioeconomic, cultural, and psychological factors impact care quality for individuals with these conditions. Dr. Battista's work examines healthcare inequalities, intervention-generated disparities, and strategies to improve patient outcomes across diverse populations. Analysis of his recent publications (2023-2025) reveals a strong emphasis on osteoarthritis management, inflammatory arthritis interventions, vocational rehabilitation, and the socioeconomic determinants of health outcomes. His research employs diverse methodologies including epidemiological studies, qualitative investigations, randomized controlled trials, and systematic reviews. Chair of the European Alliance of Associations for Rheumatology (EULAR) Study Group on Physical Activity & Exercise (2024) Winner of the Best Abstract at EULAR RODS Meeting 2022 Winner of the Best Oral Presentation at Kockska Foundation Symposium 2022 Highly Commended 'Rising Star' award at University of Salford Research Event (2025) Associate Editor for 'Rheumatology Advances in Practice' journal (2025) Dr. Battista currently leads the 'Sexual Health and Well-being in Men with RMD across Europe' project (2024-2026) and is actively involved in multiple EULAR task forces developing clinical guidelines. His research has significant translational impact, informing healthcare policy and practice across European healthcare systems. As a core member of the Centre for Human Movement and Rehabilitation, Dr. Battista contributes to interdisciplinary research addressing movement disorders, rehabilitation strategies, and patient-centered care approaches for individuals with musculoskeletal conditions.

• Rich Web-based Applications Engineering
• Software Design
• Software Architectures
• +4 more

Nalaka R. Dissanayake serves as a Senior Lecturer in the School of Computer Science and Engineering at the University of Westminster, where he contributes to the Software Systems Engineering Research Group. With 17 years of academic experience since 2007, he progressed from student instructor to his current senior position while completing his doctoral studies. His foundational education includes a B.Sc. in Information Technology from the Sri Lanka Institute of Information Technology (2007), an M.Phil. from the University of Colombo School of Computing (2017), and a Ph.D. from the University of Westminster (2024). Dr. Dissanayake's research centers on rich web-based applications engineering, where he has established significant contributions through architectural style development and design methodology formalization. His work introduces specialized concepts including RiWAArch Style, BAW-MVC, and delta communication principles that address core challenges in web application state management and communication efficiency. Current research frontiers actively explore prompt engineering techniques for integrating AI/ML capabilities into rich web applications, demonstrating adaptation to emerging technological paradigms while maintaining focus on architectural fundamentals. His publication portfolio reveals a clear research trajectory evolving from AJAX application foundations (2013-2014) through architectural pattern specification (2017-2020) toward comprehensive design methodology development (2023-2024). This progression demonstrates increasing theoretical sophistication while maintaining practical implementation relevance, with consistent output across journals like the Journal of Web Engineering and major conferences including FTC and ICTer. As an active academic contributor, Dr. Dissanayake serves as a reviewer for the Journal of Web Engineering and various conferences. His research group membership provides access to collaborative opportunities within the university's software engineering ecosystem, while his extensive teaching experience across multiple institutions offers valuable mentorship perspective for graduate students.

• Sports Medicine
• Orthopedics
• Athletic Training
• +6 more

Dr. Janet Simon serves as Associate Professor and Associate Dean for Research in Ohio University's College of Health Sciences and Professions, with over 40 peer-reviewed publications and $5+ million in NIH/DoD grant funding. Her work bridges athletic training practice, neurocognitive science, and patient outcomes assessment. Her educational foundation includes: PhD in Biostatistics, Indiana University (2014) MS in Applied Statistics, Indiana University (2014) MS in Athletic Training, Ohio University (2010) BS in Athletic Training, Southern Connecticut State University (2008) Dr. Simon's research revolutionizes sports injury rehabilitation through three pillars: patient-reported outcome development for quality-of-life assessment, neurocognitive biomechanics of ACL/ankle recovery, and technology-enhanced assessment using virtual reality. Her 2025 publications reveal accelerating focus on brain-muscle interactions during movement, with 70% of recent work incorporating fMRI or motion-capture analysis of cognitive-motor function post-injury. Her publication trajectory demonstrates strategic expansion from foundational injury epidemiology (2014-2019) into neural mechanisms of recovery (2020-2025), now encompassing opioid use disorder in athletic contexts and Cirque du Soleil performer health—showcasing remarkable interdisciplinary range while maintaining core sports medicine expertise. Major recognitions include: Journal of Athletic Training Clint Thompson Manuscript Award (2017) Three OHIO Faculty Newsmaker Certificates (2017-2019) Octorara Area High School Hall of Fame (2016) As an educator, she directs Athletic Training Research courses while securing $26,500 in dedicated student research grants. Her NIH/DoD-funded projects support 12+ graduate researchers annually, with emphasis on translating lab findings to clinical practice through partnerships with Ohio University Athletics and the Datalys Center. Current initiatives integrate machine learning with biomechanical data to predict injury resilience.

Emmanouil GeorgiadisView profile

Senior Lecturer

• Sport Psychology
• Exercise Psychology
• Motivational Constructs
• +5 more

Dr. Emmanouil Georgiadis serves as Senior Lecturer in Sport and Exercise Psychology at the University of Suffolk's School of Health, Sciences and Society. An internationally recognized expert with elite athletic background as a swimmer, he applies psychological principles to enhance athletic performance and well-being across individual and team sports, including Olympic-level competitors. His research focuses on motivational constructs in sport/exercise settings, lifespan health behavior, chronic pain management, and psychophysiology. Key projects include non-biomedical pain perspectives, hospital gown usability studies, and heart rate variability biofeedback applications for depression. Recent publications span pain research, public health interventions, and dermatology-exercise interactions. Scientific recognition includes: Senior Fellow of Higher Education Academy Certified Sport and Exercise Psychology Counsellor Member of European Federation of Sport Psychology Member of American Psychological Association EMDR Cognitive Therapeutic Method certification Georgiadis leads CPD programs in health promotion, collaborates internationally through Erasmus+ programs across six European countries, and has designed physical activity initiatives with national/private institutions. His teaching integrates sport science, psychology, and positive well-being frameworks.

Rita Quetziquel Fuentes AguilarView profile

Researcher

• Biomedical Engineering
• Control Systems
• Artificial Intelligence
• +6 more

Rita Quetziquel Fuentes Aguilar is a Researcher at the National School of Sciences and Engineering of Tecnológico de Monterrey, where she leads the Institute of Advanced Materials for Sustainable Manufacturing. She specializes in biomedical engineering applications, from the design of new medical devices to control implementation. Her work spans multiple disciplines including artificial intelligence, robotics, and biomedical engineering. Dr. Fuentes-Aguilar's educational background includes: Bio-medical engineer from Instituto Politécnico Nacional, Ciudad de México Master of Science from Centro De Investigación Y De Estudios Avanzados Del IPN PhD in Automatic Control from Centro De Investigación Y De Estudios Avanzados Del IPN Her research focuses on mathematical model identification and control of objects deformation, machine learning for prediagnosis, and the development of solutions in the medical area. She has made significant contributions to rehabilitation robotics, medical device design, and AI-assisted biomedical engineering. Her work often bridges theoretical control systems with practical medical applications, resulting in numerous patents and publications. Dr. Fuentes-Aguilar's recent publications demonstrate a clear interdisciplinary trend combining control theory, artificial intelligence, and biomedical applications. Many focus on rehabilitation technologies, medical imaging, and adaptive control systems for medical devices, with increasing emphasis on sustainable manufacturing approaches. Her notable scientific achievements include: Mejor Cartel award from Encuentro de Ingeniería Biomédica (2011) Premio a la Excelencia Académica from Instituto Politécnico Nacional (2007) Mexican Researcher Certification - Level 1 Dr. Fuentes-Aguilar has secured research funding through projects sponsored by the National Council of Science and Technology and is a member of the National System of Researchers. She has one granted patent, seven national patent applications, three PCT applications, and three public copyright registries, reflecting her commitment to translating research into practical applications. She leads the Institute of Advanced Materials for Sustainable Manufacturing and is part of the Strategic Research Group "Enabling technologies for the development of advanced materials" in Guadalajara. Her work contributes to UN Sustainable Development Goals including Good Health and Well-being, Industry Innovation and Infrastructure, and Life on Land.

Sarah ImmanuelView profile

Senior Lecturer

• Biomedical Signal Processing
• Sleep Disorder Diagnostics
• Machine Learning for Healthcare
• +5 more

Sarah Immanuel is a Senior Lecturer in the Business and Hospitality vertical at Torrens University, specializing in Data Management and Data Analytics. She directs teaching, research, and subject coordination within the Centre for Artificial Intelligence Research and Optimisation (AIRO), leveraging her 23+ years of academic experience across Australian and international institutions. Her educational background includes: Bachelor of Electrical and Electronics Engineering from Bharathiar University Master of Applied Electronics Engineering from Bharathiar University PhD in Biomedical Engineering from The University of Adelaide (dissertation: Polysomnographic signal processing for advanced diagnostics of paediatric sleep disordered breathing) Immanuel's research focuses on biomedical signal processing applications for sleep disorders and clinical diagnostics. She develops machine learning models for disease prediction in sleep disorders, mental health, and cardiovascular conditions, while creating data analytics platforms for healthcare decision-making. Her work integrates Signal and Image Processing with AI to address Digitally Enhanced Living challenges, particularly for elderly populations through ARC Industry Transformation Research Hub projects at Flinders University. Analysis of her 27 research outputs reveals consistent focus on cardiorespiratory dynamics, with recent publications (2023-2024) emphasizing transvenous phrenic nerve stimulation for central sleep apnea, heart rate variability biomarkers for stress/cognitive decline, and machine learning applications for surgical candidate prediction. Her fingerprint shows dominant themes in Central Sleep Apnea (100%), Transvenous Phrenic Nerve Stimulation (100%), and Polysomnography (60%). As an active PhD supervisor, she mentors students in cardiorespiratory signal processing and machine learning for clinical applications. Her research has generated significant community impact through the ARC Hub project on elderly care technologies. Immanuel maintains active research collaborations through Flinders University's Academic status position and contributes to healthcare innovation via the AIRO center's data-driven platforms.