Find Academic Supervisors

Tanya KairnView profile

Adjunct Associate Professor

• Radiation Therapy
• Medical Physics
• Dosimetry
• +3 more

Dr. Tanya Kairn is an Adjunct Associate Professor at the School of Electrical Engineering & Computer Science, University of Queensland. Her research focuses on radiation therapy innovations, particularly the application of 3D printing in medical dosimetry and treatment planning. She collaborates extensively on projects involving radiation safety, adaptive radiotherapy, and quality assurance in clinical settings. Her work integrates advanced technologies like Monte Carlo simulations, ionization chamber arrays, and photogrammetry to improve treatment accuracy and patient outcomes. Recent contributions include studies on real-time motion management, bone cement dosimetry in proton therapy, and automation in radiation therapy performance analysis. Dr. Kairn’s publications emphasize 3D-printed phantoms, personalized medical device development, and voxel-based cancer risk assessments. She actively participates in international conferences and collaborates with institutions to advance medical physics and radiation oncology practices.

Zhongming LiuView profile

Associate Professor

• Biomedical Imaging
• Neural Engineering
• Neurological Disorders
• +3 more

Zhongming Liu is an Associate Professor and Associate Department Chair of Graduate Programs in the Department of Biomedical Engineering at the University of Michigan. He leads the Lab of Integrated Brain Imaging and is affiliated with the Engineering of Preclinical Imaging Center . His research focuses on biomedical imaging, neural engineering, and gastrointestinal dysfunction studies, particularly leveraging MRI and computational models to investigate gastric motility and brain-gut interactions. Key interests include developing imaging techniques, modeling neural pathways, and exploring therapeutic interventions for neurological and gastrointestinal disorders. His work emphasizes interdisciplinary approaches, combining advanced imaging technologies with computational methods to understand complex physiological systems. Notable projects include surface mapping of gastric motor functions, MRI-based assessment of gastric emptying, and studying vagus nerve stimulation effects on gastrointestinal function. He also pioneers research in neural networks inspired by human vision and adversarial robustness in AI systems. Dr. Liu’s contributions span from basic science to translational applications, with a strong emphasis on bridging engineering and clinical medicine. His lab collaborates extensively on multimodal imaging solutions and has developed novel tools for concurrent electrophysiological recordings during MRI scans. Ongoing efforts aim to personalize diagnostic and therapeutic strategies using patient-specific models derived from imaging and computational data.

Vitaliy PopovView profile

Assistant Professor

• Learning Sciences
• Learning Analytics
• Science of Team Science
• +6 more

Vitaliy Popov is an Assistant Professor in the Department of Learning Health Sciences at the University of Michigan Medical School, with a courtesy appointment at the University of Michigan School of Information. He also serves as Director of Learning Sciences and Technology for the Clinical Simulation Center of the University of Michigan Medical School. His research focuses on optimizing team function in healthcare to improve learning, performance, and patient outcomes, leveraging learning analytics, simulation-based training, and extended reality (XR). He holds a Ph.D. in computer-supported collaborative learning from Wageningen University & Research Center, Netherlands. Research interests span Learning Sciences, Health Sciences, Artificial Intelligence, and eXtended Reality. Current projects include NSF-funded initiatives on multimodal learning analytics in VR teamwork and visual attention mechanisms in surgical teams. He co-leads the SI 582 Interaction Design course at U-M School of Information and contributes to editorial boards of Annals of Medicine - Medical Education and International Journal of Computer-Supported Collaborative Learning . Recent work explores AI applications in surgical learning, shared decision-making in healthcare teams, and metaverse innovations in medical education. His research bridges education science, healthcare technology, and human-computer interaction, with a focus on interprofessional collaboration and technology-enhanced learning environments.

Megan L. SmithView profile

Associate Professor

• Public Health
• Adolescent Health
• Substance Abuse Prevention
• +4 more

Megan L. Smith, PhD, is an Associate Professor in the School of Public and Population Health at Boise State University. She holds a PhD in Human Development and Family Studies from West Virginia University (2015), a teaching degree from California State University Chico (2008), and a BA in Psychology from the University of California, Santa Cruz (2006). Her research focuses on contextual factors influencing youth health outcomes, including substance use, mental health, and sexual risk behaviors, with a particular emphasis on school environments and community-level interventions. Dr. Smith previously served as Director of Child & Adolescent Health initiatives at WVU’s Prevention Research Center and currently contributes to SAMSHA/WVDE’s Project AWARE, promoting school-based mental health. She is a core member of the Planet Youth initiative, advocating community-driven prevention strategies. Her work emphasizes equity and health advocacy, particularly in rural and marginalized populations. Her research interests span public health policy, youth resilience, and culturally adapted interventions. Recent work explores disparities in electric vehicle adoption, faith-based mental health programs, and the Icelandic Prevention Model’s rural implementation. She also investigates adolescent caffeine use impacts and parental engagement in education. Dr. Smith’s scholarly contributions include studies on healthcare access, antenatal education, and global health diagnostics. She actively collaborates on projects addressing diaper insecurity, gender-diverse youth support, and heat resilience strategies. Her work bridges academic research with actionable public health solutions.

Friso De BoerView profile

Professor

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +3 more

Professor Friso De Boer is a faculty member in the College of Engineering and Information Technology at Charles Darwin University (CDU). His primary research focuses on detecting abnormalities in biosignals using advanced signal processing techniques and artificial intelligence, including machine learning and neural networks. Key applications include EEG-based binaural hearing research, APG/ECG analysis for heat stress detection, and AI-driven diagnosis of diseases like breast cancer, cardiovascular disease, and kidney disease. He leads the Biomedical Engineering and Health Informatics Research Group at CDU, offering PhD opportunities in these areas. Prospective students are encouraged to contact him directly for further collaboration. His research interests span biomedical engineering, medical imaging, and health informatics. Notable projects involve developing novel AI models (e.g., ECgMLP, LungNet22) for disease diagnosis and improving diagnostic accuracy through hybrid approaches like graph theory and deep learning. He also explores ergonomic risk prediction via 3D pose analysis and gesture recognition systems for interactive displays. Publications highlight advancements in medical AI, including skin cancer detection, endometrial cancer diagnosis, and automated respiratory disease analysis using XAI principles. His work emphasizes real-world clinical applications, such as improving ICD coding accuracy and enhancing CT scan interpretation for pediatric bronchiectasis. Professor De Boer collaborates on interdisciplinary projects, blending engineering principles with healthcare challenges. His contributions span from foundational signal processing research to applied AI solutions in clinical settings, reflecting a commitment to advancing biomedical technology and patient outcomes.

• Medical Physics
• Radiation Therapy
• Medical Imaging
• +5 more

Dr. Marco Pinto is a Researcher at the Chair of Experimental Physics and Medical Physics, Ludwig-Maximilians-Universität München under Prof. Dr. Katia Parodi. His work focuses on advancing radiation therapy techniques, particularly in proton and carbon ion therapy, with emphasis on range verification using prompt gamma detection and positron emission tomography (PET). He contributes to space missions such as JUICE and BepiColombo, analyzing radiation environments in planetary systems and developing instrumentation for in-situ measurements. Research interests include medical physics applications in proton beam monitoring, small animal irradiation platforms (SIRMIO project), and radiation effects in space exploration. His expertise spans detector design, computational modeling, and experimental validation of therapeutic and space radiation systems. Collaborations extend to missions exploring Mercury and Jupiter's icy moons, addressing challenges in radiation dosimetry and particle physics. Key projects include developing spherical in-beam PET systems for real-time range monitoring and optimizing treatment plans using prompt gamma imaging. His work bridges clinical oncology with space science, advancing technologies for both medical and planetary research domains. Advising focuses on interdisciplinary projects combining medical imaging and radiation physics. He collaborates with international teams on missions like BepiColombo and JUICE, contributing to radiation monitoring systems and environmental analyses. His lab, part of the SIRMIO initiative, pioneers preclinical proton therapy tools for small animal studies.

Arthur SeibelView profile

Professor

• Additive Manufacturing
• Soft Robotics
• Product Development Methodology
• +5 more

Prof. Arthur Seibel is a Professor for Product Development and Design at Leuphana University's Institute for Production Technology and Systems (IPTS). Previously, he served as a Group Leader and Department Head at Fraunhofer IAPT (2020–2023) and earned his habilitation (2021) in Design Theory from TU Hamburg. His expertise spans additive manufacturing, soft robotics, biomimetic design, and engineering design methodology. He leads projects like OPTUM-MAGNA (magnesium nanocomposites) and DigiMed (patient-specific implants), focusing on sustainable manufacturing and medical applications. Education: PhD (2015): TU Hamburg, 'On the Inclusion of Parameter Uncertainties into Engineering Design Computations' Dipl.-Ing. (2011): TU Hamburg, Mechanical Engineering with distinction Research Focus: Additive Manufacturing: Metal binder jetting, sintering processes, defect mitigation Soft Robotics: Silicone-based actuators, biomimetic grippers, recycling strategies Product Development: Methodology, creativity, team leadership in project management Materials Science: TPMS structures for heat sinks and implants Teaching: Courses include 'Methodical Product Development', 'Sustainability in Engineering', and 'Intellectual Property Management'. Labs/Teams: Heads the Product Development and Design group at IPTS, collaborating with Fraunhofer institutes on industrial and medical AM applications.

Mathias BrieuView profile

Professor

• Mechanics of Materials
• Computational Mechanics
• Soft Polymers
• +5 more

Mathias Brieu is a Professor in Mechanical Engineering at California State University, Los Angeles. He specializes in solid mechanics, computational mechanics, and the mechanics of soft polymers and bio-polymers for biomedical applications. His research focuses on material characterization, constitutive modeling, and numerical methods, particularly in pelvic soft tissues and polymer sustainability. Education: Habilitation à Diriger des Recherches (H.D.R.) in Physics, University of Lille (2005) PhD in Mechanical Engineering, Ecole Normale Supérieure Paris-Saclay (1999) - Highest Distinction MS in Mechanical Engineering, University Paris-Sorbonne (1996) - Highest Distinction Agrégation de Mécanique (French National Examination for Higher Education) Research Interests: Experimental and computational mechanics of soft materials Patient-specific simulation of pelvic systems for medical device design Bio-polymers and sustainability in polymer applications Medical imaging integration with biomechanical modeling Publications Trends: Recent work emphasizes pelvic biomechanics, composite material behavior under dynamic loads, and medical device innovation. His articles bridge experimental methods (e.g., MRI analysis) with computational models to address clinical challenges in gynecology and surgical planning. Awards: PhD 'Très honorable avec félicitations du jury' MS 'Mention Très Bien' Agrégation de Mécanique (French Ministry) Grants & Advising: While specific grants are not detailed, his work implies sustained funding for interdisciplinary research. He has advised students through his academic roles, with no named advisees listed. Labs & Teams: Engages in collaborative projects involving medical imaging, material testing, and biomechanical simulation, though specific lab names are not mentioned.

Sarah W. BookView profile

Professor

• Alcohol and Drug Addiction
• Mood and Anxiety Disorders
• Biomarkers in Substance Use Disorders
• +3 more

Sarah W. Book is a Professor at the Medical University of South Carolina 's College of Medicine , Department of Psychiatry and Behavioral Sciences . She serves as Medical Director of the Center for Drug and Alcohol Programs and Director of the Clinical Neurobiology Laboratory , focusing on substance use biomarkers and treatment efficacy. Alcohol and Drug Addiction Mood and Anxiety Disorders Pharmacogenetics Clinical Neurobiology Medical Education Addiction Research Training Dr. Book's research integrates clinical trials with biomarker analysis , evaluating medications like Mazdutide and TMP-301 for Alcohol Use Disorder. Her work bridges psychopharmacology with educational program development , aiming to enhance clinician-scientist training. Recent publications highlight her team's exploration of COMT regulation , sleep variability , and genetic predictors in addiction treatment. Her clinical trials portfolio reveals trends in: Neuropharmacological interventions (e.g., tolcapone, gabapentin) Biological markers for substance use detection Integrated treatment models for dual diagnosis 12-step program effectiveness Medical student research engagement Postoperative pain management in addiction patients Dr. Book mentors medical students, psychiatry residents , and addiction fellows , while leading interdisciplinary teams in Charleston, SC.

Julie LasleyView profile

Adjunct Professor

• Radiologic science education
• High-impact learning strategies
• Qualitative research
• +4 more

Dr. Julie Lasley, PhD, R.T. (R) (T), is Adjunct Professor at Logan University in the Doctor of Education (Ed.D.) in Health Professions Education program. Simultaneously, she serves as Associate Professor and Program Chair of Radiation Therapy at Northern Kentucky University (NKU). She has been affiliated with Logan since 2018 and is an active JRCERT accreditation site visitor for radiation-therapy and medical-dosimetry programs. Education PhD in Education (Curriculum & Experiential Instructional Strategies), Northcentral University Master of Science in Administration, Central Michigan University Bachelor’s in Health Sciences (Radiation Therapy), Baptist Health Sciences University Research Focus Dr. Lasley’s scholarship centers on radiologic science education and high-impact learning strategies . She conducts qualitative studies on quality-of-life issues among women with breast cancer, investigates methods to improve reading development in college students, and leads an interdisciplinary pandemic-research project examining frontline-provider experiences from 2020-2025. Recent conference presentations address AI/Chat-GPT impacts on allied-health student learning and academic integrity. Scientific Contributions & Trends Across more than a dozen peer-reviewed articles (2011-2023), her work consistently explores curricular innovation, assessment transparency, and student-centered pedagogies in radiologic technology and radiation-therapy programs. Topics range from online program quality and cognitive-apprenticeship models to empathic-communication training and scholarly-writing support. Professional Service & Outreach Site visitor & peer reviewer, Joint Review Committee on Education in Radiologic Sciences (JRCERT) Frequent national presenter on accreditation standards and experiential learning Advocate for yoga and wellness in health-professions education While no specific advisees are named, her roles as Program Chair at NKU and Ed.D. faculty at Logan imply ongoing mentorship of graduate students and junior scholars.

Lifang HeView profile

Associate Professor

• Machine Learning/Deep Learning
• Tensor Analysis
• Data Mining
• +3 more

Lifang He is an Associate Professor in the Department of Computer Science & Engineering at Lehigh University. She holds a B.S. in Computational Mathematics from Northwest Normal University and a Ph.D. in Computer Science from South China University of Technology. Prior to joining Lehigh, she was a postdoctoral researcher at the University of Pennsylvania’s Perelman School of Medicine and Weill Cornell Medical College. Her research focuses on machine learning/deep learning, data mining, tensor analysis, and biomedical informatics. Notable projects include developing BiomedGPT, an AI model for real-time patient-focused insights, and contributions to structural brain imaging analysis and rare event prediction in materials science. Her work bridges computational methods with healthcare applications, emphasizing multi-modal data fusion and federated learning in medical contexts. Recent publications span topics like self-paced learning for sign language recognition, graph-based brain network analysis, and efficient large language models. She actively participates in symposiums on AI in healthcare and has collaborated on initiatives like the Mountaintop Campus’ interdisciplinary projects.

Julie DoberneView profile

Physician Scientist

• Surgery Informatics
• Surgical Decision Sciences
• Health Informatics
• +3 more

Dr. Julie Doberne is a cardiothoracic surgeon specializing in complex cardiac procedures, including coronary artery bypass surgery, valve replacements, and heart transplantation. Her clinical expertise focuses on optimizing patient outcomes through technical excellence, postoperative care, and interdisciplinary collaboration. She holds a Ph.D. from Oregon Health & Science University and completed residencies at Duke University Medical Center. Certified in Thoracic Surgery and Clinical Informatics, Dr. Doberne bridges clinical practice with research in surgery informatics and human-computer interaction. Her research emphasizes improving electronic health record (EHR) usability, surgical decision sciences, and digital health interventions. Notable contributions include studies on TAVR patient monitoring platforms and EHR workflow optimization. She is an active member of the Society of Thoracic Surgeons and the American Medical Informatics Association. Dr. Doberne’s publications span cardiovascular surgery innovations, EHR-related challenges, and surgical training methodologies. Her work highlights the integration of technology in healthcare delivery to enhance safety and efficiency. Despite her extensive academic and clinical portfolio, specific institutional affiliations or grants are not explicitly detailed in the provided text.

Bonny BaronView profile

Associate Professor

• Emergency Medicine
• Trauma Care
• Hemorrhage Management
• +3 more

Bonny Baron, MD is an Associate Professor in the Department of Emergency Medicine. Her research focuses on trauma care, hemorrhage management, and critical care innovations. She has authored over 50 peer-reviewed articles and book chapters in emergency medicine and trauma surgery. Research Interests: Advanced resuscitation techniques for hemorrhagic shock Diagnostic accuracy in trauma patients Non-invasive monitoring technologies Toxicology in emergency settings Recent Work Themes: Recent studies emphasize thromboelastography for resuscitation monitoring, CT angiography for aerodigestive trauma assessment, and hemodynamic effects of drugs during hemorrhage. Methodological contributions include meta-analyses on CT accuracy in stab wound management and systematic reviews of trauma diagnostic protocols. Professional Contributions: Book chapters in Emergency Medicine: A Comprehensive Study Guide (1999, 2004) Contributions to pediatric emergency medicine protocols

JURXO GARCIA OTEROView profile

Researcher

• Drug Delivery Systems
• Ophthalmology
• Pharmacokinetics
• +3 more

Dr. JURXO GARCIA OTERO is a Postdoctoral Researcher at the University of Santiago de Compostela, affiliated with the Department of Psychiatry, Radiology, Public Health, Nursing and Medicine . He is part of the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS) and the MIMP Molecular Imaging and Medical Physics Group . His research focuses on drug delivery systems, ophthalmic formulations, and pharmacokinetic modeling. He holds a PhD from the University of Santiago de Compostela (2022), with a thesis titled Therapeutic alternatives research for the treatment of ocular inflammatory diseases , supervised by Dr. Francisco Javier Otero Espinar, Dr. Pablo Aguiar Fernández, and Dr. Ángel Fernández Ferreiro. His work spans preclinical models of ocular inflammation, nanoparticle-based drug delivery, and PET imaging applications. Key research areas include ophthalmic drug delivery , anti-inflammatory therapies , medical imaging , and biodistribution studies . Recent work emphasizes nanotechnology-driven solutions for ocular diseases, such as PLGA nanoparticles for intravitreal administration and cyclodextrin-based eye drops for uveitis treatment. His publications (2020–2025) highlight advancements in pharmacokinetic modeling , hydrogel formulations , and anti-VEGF therapies . Notable contributions include PET studies of adalimumab biodistribution and clinical evaluations of tacrolimus eye drops. No scientific awards are explicitly mentioned, but his research has significant translational potential for ophthalmic drug development. His work is supported by collaborations within CIMUS and MIMP, focusing on molecular imaging and chronic disease management.

Marta Nuñez GarciaView profile

Researcher

• Medical Image Processing
• Machine Learning
• Cardiac Imaging
• +4 more

Marta Nuñez Garcia is a Ramón y Cajal researcher at the University of Santiago de Compostela's CITIUS (Center for Research in Intelligent Technologies), affiliated with the Department of Electronics and Computing. She holds a PhD in Medical Image Processing from Universitat Pompeu Fabra (2018), with postdoctoral experience at IHU Liryc (Bordeaux) and INRIA. Her research focuses on applying machine learning and image processing to cardiac imaging modalities like MRI, CT, and LGE-MRI to develop standardized multimodal cardiac models for disease analysis. She leads the GSI Group (Intelligent Systems Group) and contributes to the CiTIUS lab. Education: Bachelor's in Telecommunication Engineering (Universidade de Vigo) MSc in Computer Vision & AI (Computer Vision Center, Barcelona) PhD in Medical Image Processing (Universitat Pompeu Fabra, 2018) Research interests include: Cardiac segmentation and quantification Deep learning for medical image analysis Personalized cardiac modeling for arrhythmia prediction Image-guided catheter ablation strategies Automated CT/MRI reformatting pipelines Recent work emphasizes explainable AI for predicting ventricular arrhythmias, scar maturation scoring, and CT-based predictive tools. Her GitHub repositories showcase open-source implementations of cardiac imaging algorithms like left atrial flattening and short-axis view reformatting.