Find Academic Supervisors

Einar HeibergView profile

Senior Lecturer

• Medical Image Processing
• Deep Learning
• Cardiovascular Magnetic Res
• +7 more

Einar Heiberg is a Senior Lecturer at Lund University , Faculty of Medicine, Department of Clinical Physiology. He serves as Project Manager of the Lund Cardiac MR Group and Director of the 3D Centre at Skåne University Hospital. His academic appointments include Associate Senior Lecturer at WCMM (Wallenberg Centre for Molecular Medicine) and affiliation with the LTH Profile Area 'Engineering Health.' Senior Lecturer, Clinical Physiology (Lund University) Project Manager, Lund Cardiac MR Group Director, 3D Centre @ Skåne University Hospital Associate Senior Lecturer, WCMM Research Interests : Heiberg specializes in medical image processing , combining classical image analysis with deep learning techniques. His work focuses on cardiovascular MRI applications, particularly software development for cardiac modeling and segmentation. Key areas include: Deep learning for 3D medical imaging Cardiac MRI feature tracking Tricuspid/right ventricle flow dynamics AI in surgical planning Segmentation of cardiovascular structures Modeling left ventricular mechanics Scientific Contributions : Heiberg's 160+ research outputs show expertise in: Cardiac Magnetic Resonance Imaging Left Ventricle and Myocardial Analysis Deep Learning in Clinical Applications 3D Printing for Medical Use Awards & Appointments : Clinical Fellow, WCMM Labs & Collaborations : He leads the 3D Centre (LinkedIn, website) and contributes to AI research through Lund's AIML@LU network and AI Lund: Lund University AI Research .

Anna Chen ArroyoView profile

Associate Clinical Professor

• Allergy and Immunology
• Asthma
• Drug Allergy
• +5 more

Anna Chen Arroyo is a Clinical Associate Professor in the Department of Medicine - Pulmonary, Allergy & Critical Care Medicine at Stanford University School of Medicine . She serves as Section Chief of Allergy, Asthma, and Immunodeficiency (2024–Present) and Medical Director of the Allergy, Asthma, & Immunodeficiency Clinic at Stanford Health Care (2020–Present). Research Focus: Dr. Arroyo investigates early life risk factors for allergic disease, lifespan allergy progression , and social determinants of health affecting Asian American children. Her work spans asthma epidemiology , environmental triggers , and health equity . Publications: Recent studies include ecological analyses of air pollution and asthma visits , atopic dermatitis disparities , and social determinants of allergic disease among disaggregated Asian American subgroups. Her work emphasizes population-level insights and modifiable environmental factors . Education & Certification: Medical Doctorate: Stanford University School of Medicine (2012) MPH: University of California at Berkeley (2012) Allergy & Immunology Fellowship: Brigham and Women's Hospital (2019) Board Certified: American Board of Allergy and Immunology (2018), American Board of Internal Medicine (2015)

• Neonatal invasive and non-invasive ventilation
• Hypoxic-ischemic encephalopathy
• Heart rate variability in preterm infants
• +3 more

Guilherme Sant'Anna, MD, PhD is a Senior Scientist at The Research Institute of the McGill University Health Centre (RI-MUHC) Professor in the Department of Pediatrics, Faculty of Medicine and Health Sciences, McGill University Division of Neonatology at MUHC His research focuses on Optimizing respiratory assistance for preterm infants through the EXPERT Project Pathophysiology and management of asphyxiated neonates Automated extubation readiness prediction (APEX study) Mechanisms of non-invasive respiratory therapies International collaborations on mild HIE (PRIME study) and neurophysiological maturation (NEMO project) Key trends in his 15 most recent publications reveal Heavy emphasis on wireless monitoring systems for NICU Development of AI/ML tools for extubation prediction Multicenter clinical trials on HIE and PDA management Focus on translating engineering solutions to neonatal care Integration of cardiorespiratory variability analysis Improving long-term neurodevelopmental outcomes

• Anesthesiology
• Respiratory Physiology
• Medical Device Development
• +5 more

Joseph A. Orr is a Professor in the Department of Anesthesiology at the University of Utah. With a dual background in biomedical engineering and clinical anesthesiology, his work bridges medical device innovation and respiratory physiology. Education: PhD, University of Utah BS, Arizona State University MS and MEM, University of Utah Research Interests include: Non-invasive respiratory monitoring Medical device development for anesthesia and critical care Opioid-induced respiratory depression detection Computational modeling of physiological systems Capnography and gas exchange analysis Emergency airway management Publication Trends show a focus on: Respiratory monitoring technologies (2015–2024) Medical device validation in clinical trials Mathematical modeling of physiological signals Optimizing sedation safety with advanced ventilation Anesthesia reversal and gas delivery systems

David F. MeaneyView profile

Professor

• Traumatic Brain Injury
• Concussion
• Neural Network Modeling
• +6 more

David F. Meaney is Professor and Solomon R. Pollack Professor in the Department of Bioengineering at the University of Pennsylvania's School of Engineering and Applied Science, where he serves as Vice Provost for Research. He directs the Molecular Neuroengineering Lab for Traumatic Brain Injury, focusing on concussion pathophysiology through integrated in vivo , in vitro , and in silico approaches. His research spans traumatic brain injury mechanisms, neural network dynamics, and biomarker discovery, with particular emphasis on concussion heterogeneity, preconditioning effects, and network theory applications. His work leverages diverse methodologies including mouse models, neuronal cultures, computational simulations, and extracellular vesicle analysis to bridge cellular changes with whole-brain functional outcomes. Analysis of his 15 most recent publications reveals dominant themes in personalized brain injury modeling (32%), neuroimmune interactions (24%), computational network analysis (20%), and biomarker development (16%), with increasing focus on sex-specific responses and dietary influences in recent work. His lab has developed specialized software tools including FluoroSNNAP for calcium imaging analysis and Autotyping for behavioral phenotyping. Recipient of endowed Solomon R. Pollack Professorship Active principal investigator with continuous NIH funding Developed computational frameworks linking biomechanics to functional outcomes Key contributor to CONNECT-TBI neuropathology consortium His mentoring includes multiple PhD candidates and research specialists, with collaborative projects spanning neuroscience, bioengineering, and clinical neurology. Current recruitment focuses on postdocs and PhD students with expertise in in vivo models, molecular techniques, and computational neuroscience.

Jijia WangView profile

Assistant Professor

• Biostatistics
• Clinical Trials Design
• Longitudinal Data Analysis
• +3 more

Dr. Jijia Wang is an Assistant Professor at the UT Southwestern School of Health Professions Education , specializing in the Department of Applied Clinical Research . She holds a Ph.D. in Biostatistics from Southern Methodist University and advanced degrees in Statistics and Biochemical Engineering. Her research focuses on statistical methodology development for clinical trials. Education: Ph.D. in Biostatistics (2019, Southern Methodist University) M.S. in Statistics (2015, Texas Tech University) M.Eng. in Biochemical Engineering (2011, Northeast Agricultural University) B.S. in Biotechnology (2009, Northeast Agricultural University) Her research interests involve statistical methodology development for clinical trials, including power analysis, experimental design, and sample size determination for longitudinal studies. She applies Frequentist and Bayesian approaches to handle complex data structures such as clustered outcomes and missing data. Recent publications highlight her work on stepped wedge cluster trials , longitudinal data analysis, and applications in cardiovascular research. Collaborative studies with clinicians have led to peer-reviewed publications in journals like Statistical Methods in Medical Research and Journal of Clinical Lipidology .

Janine MorleyView profile

Research Fellow

• Energy Demand
• Digital Technologies
• Thermal Comfort
• +3 more

Dr Janine Morley is a Research Fellow at the Lancaster Environment Centre , focusing on energy demand, digital technologies, and sustainability. Her work bridges sociological theory with practical applications in thermal comfort, clothing practices, and everyday energy use. Fields of Interest: Energy Demand, Digital Technologies, Thermal Comfort, Sustainable Fashion Research Focus: Interdisciplinary studies connecting building energy use, sustainable fashion, and human behavior Her recent publications analyze the intersection of digital practices and energy consumption, clothing's role in thermal comfort, and applications of practice theory to sustainability challenges. Current projects include research on energy demand reduction and the impact of digital technologies on climate change. Contact: j.morley@lancaster.ac.uk .

Shawn D. NewlandsView profile

Professor

• Vestibular System Physiology
• Head and Neck Cancer
• Salivary Gland Research
• +3 more

Shawn D. Newlands, M.D., Ph.D., M.B.A. is a Professor in the Department of Otolaryngology and a joint appointment in the Department of Neuroscience at the University of Rochester Medical Center. He leads the Newlands Lab, focusing on vestibular system physiology and salivary gland cancer research. As Chair of Otolaryngology, he integrates clinical expertise with multidisciplinary research. Education: MD from University of Texas Medical Branch (1990), Residency in Otolaryngology at University of Washington Medical Center (1991-1995). Awards: Recipient of the Edmund Prince Fowler Award (2004) and Kozmetsky Award (2002). His research explores vestibular compensation mechanisms using anatomic, behavioral, and physiologic methods . Recent publications examine salivary gland tissue engineering and radiation therapy effects . The lab investigates active vs. passive head movement dynamics and vestibular-neural interactions . Scientific Awards : Edmund Prince Fowler Award (2004) Kozmetsky Award (2002) A.R.O. Travel award (1995) James Beall Award (1989) The Newlands Lab is affiliated with the Del Monte Institute for Neuroscience and Neurobiology & Anatomy Ph.D. Program . His clinical focus includes salivary gland and thyroid cancers , with ongoing trials like the Phase II Atorvastatin Hearing Loss Study .

Giovanni SparacinoView profile

Professor

• Biomedical Signal Processing
• Physiological Systems Modeling
• Continuous Glucose Monitoring
• +3 more

Giovanni Sparacino is a Full Professor at the Department of Information Engineering, University of Padova, Italy. He holds teaching responsibilities for courses in Medical Informatics and Biological Data Analysis, while actively contributing to PhD supervision and departmental leadership roles including Vice-Head (2016/17) and Vice-Director of the PhD School in Information Engineering. Education: MSc in Electronics Engineering (summa cum laude), University of Padova (1992) PhD in Bioengineering, Polytechnic of Milan (1996) His research focuses on Biomedical Signal Processing, Computational Neuroscience, and Physiological Systems Modeling. Key contributions include glucose dynamics modeling, nonlinear signal analysis, and advanced algorithms for continuous glucose monitoring sensors. He has extensive experience in multimodal neuroimaging (EEG, fNIRS) and parameter estimation techniques. Notable research trends include: Development of machine learning approaches for diabetes management Integration of EEG and fNIRS for cognitive workload assessment Creation of wearable biomedical devices for foot pressure monitoring Advancements in physiological modeling and deconvolution techniques He has led the Bioengineering track PhD program since 2012 and contributed to establishing a web-based platform for multimodal neuroimaging data analysis.

Gunnvald KvarsteinView profile

Professor

• Pain Medicine
• Interprofessional Education
• Chronic Pain Management
• +3 more

Gunnvald Kvarstein is a Professor at the Department of Clinical Medicine, UiT The Arctic University of Norway, with clinical and research activities spanning pain medicine, interprofessional education, and chronic pain management. His work bridges clinical practice with academic research in pain treatment and patient safety. Research Themes: Pain Medicine, Interprofessional Education, Chronic Pain, Pediatric Pain, Medical Ethics Key Collaborations: University Hospital of North Norway, Scandinavian Pain Centers, Nursing Home Partnerships Recent publications demonstrate his focus on opioid safety , botulinum toxin applications , and interprofessional pain education . His academic output spans clinical pain interventions, biopsychosocial models, and surgical pain management. While no explicit awards are documented, his extensive co-authorships reflect collaborative research efforts with peers like Anna MS Kindlundh-Högberg, Sara Maria Allen, and Jan Henrik Rosland. Teaching activities emphasize interprofessional learning and practical pain management in nursing homes and clinical settings.

Adriana GoreaView profile

Assistant Professor

• Knitting technologies
• 3D body scanning
• Textile science
• +3 more

Adriana Gorea is an Assistant Professor in the Department of Fashion and Apparel Studies at the University of Delaware (UD), affiliated with the College of Arts & Sciences. She holds a PhD in Apparel, Merchandising and Design from Iowa State University, an MBA in Marketing from UD, an MS in Fashion Design from Drexel University, and a BS in Mathematics (with a computer science minor) from AI.I. Cuza University in Romania. Her research focuses on knitting technologies, 3D body scanning, textile science, and functional wearables. Key projects include optimizing compression apparel design through seamless knitting and moisture-responsive fabrics, as well as developing user-centered solutions for medical and athletic wearables. She has secured grants including the UD Research Foundation Strategic Initiative Grant and the CAS Arts and Humanities Faculty Fellow Award. Her creative work spans academic articles, book publications like The Book of Pockets , and collaborative textile art projects. Notable recognitions include ITAA awards for innovative technique and marketable design. She mentors students in prototyping and has guided projects addressing diverse needs, such as compression garments for endometriosis and sialorrhea management. Gorea’s interdisciplinary approach bridges textile engineering, sustainable design, and wearable technology. Current research explores eco-conscious dyeing methods and 4D knitting innovations. She teaches courses in knitwear design, wearable product development, and textile fundamentals, emphasizing both technical and creative dimensions of fashion design.

Daniel FernandezView profile

Researcher

• Energy Systems Optimization
• Smart Grids
• Electric Vehicles Management
• +3 more

Daniel Fernandez is a postdoctoral researcher at the University of Genoa's Department of Electrical, Electronic, and Telecommunications Engineering and Naval Architecture (DITEN). He holds a PhD in Computer Science and System Engineering from the University of Genoa, with collaborative research at the University of Sevilla. His work focuses on energy systems optimization, smart grids, and electric vehicle integration. Education: Bachelor's in Industrial Electronic Engineering (Spain), Master's in Automatics and Robotics Research Themes: Stochastic optimization methods, renewable energy integration, IoT applications in energy systems His recent publications explore ant colony-based optimization for power systems, fog computing architectures for microgrids, and multilevel models for electric vehicle participation in grids. Collaborations include industry projects in sustainable transportation and decentralized energy management. Advising and Grants: Active in research projects with multiple companies, focusing on applied energy solutions. No formal grants listed. Labs/Teams: Engaged with DITEN's energy systems research group and Sevilla's robotics initiatives.

Felix NaefView profile

Professor

• Circadian Rhythms
• Computational Biology
• Systems Biology
• +6 more

Prof. Felix Naef is a Full Professor at EPFL's School of Life Sciences (SV), leading the Laboratory of Computational and Systems Biology within the Institute of Bioengineering (IBI). His research focuses on quantitative systems biology, integrating theoretical, computational, and experimental approaches to study circadian rhythms, gene regulation, and cellular dynamics. He holds additional roles in teaching and administration, including membership in the Doctoral Program Committee for Computational and Quantitative Biology and the CDS Office. Education: PhD in Physics, EPFL (2000) Postdoctoral training at Rockefeller University (2000-2004) Research Interests: Circadian gene regulatory networks and liver chronobiology Single-cell analysis of transcriptional bursting and noise Systems biology of developmental patterning and metabolic pathways Integration of multi-omics data to model biological oscillators Key Contributions: Pioneered methods to infer circadian time from omics data Discovered space-time interactions in liver zonation and gene expression Advanced understanding of ribosome dynamics and translation elongation Awards: EMBO Member (2020) SNSF Sinergia Grant (2022) Advising & Grants: Supervised over 30 PhD students and postdocs Funded by SNSF, EU Horizon 2020, and industry collaborations Laboratory: The Naef Lab is part of EPFL's IBI, collaborating globally to address fundamental questions in systems biology and chronobiology.

• Marine Hydrokinetic Energy
• Oceanography
• Western Boundary Currents
• +3 more

Michael Muglia is a Research Professor at East Carolina University's Coastal Studies Institute and Assistant Director of Science for the NC Ocean Energy Program. He holds a joint appointment at the National Renewable Energy Laboratory (NREL). His expertise spans oceanography, renewable energy systems, and marine technology. Muglia earned three B.S. degrees (Biology, Marine Science, Physics) from the University of Miami and UNC Wilmington, followed by an M.S. in Physics from UNC Chapel Hill and a Ph.D. in Marine Science from UNC Chapel Hill. His research focuses on western boundary currents like the Gulf Stream, shelf-ocean exchange dynamics, and marine renewable energy solutions. He has pioneered underwater kite systems, wave energy converters, and turbine technologies, supported by funding from DARPA, DOE, and NREL. Collaborators include institutions like Woods Hole Oceanographic Institution and Scripps Institution of Oceanography. Muglia has led over 20 grants totaling millions in funding, including projects on Gulf Stream energy characterization and ocean observation systems. He chairs SECOORA's Science Advisory Board and has received the Distinguished Scholar (2025) and Cleantech Innovation (2023) awards. Key contributions include HF radar analysis of Gulf Stream variability, shelf water cascading events near Cape Hatteras, and deployment of energy harvesting prototypes. His work bridges oceanographic research with practical renewable energy solutions, advancing grid-scale ocean power systems.

Antonio FerramoscaView profile

Professor

• Model Predictive Control
• Artificial Pancreas
• Distributed Control
• +7 more

Antonio Ferramosca is a Full Professor at the University of Bergamo's Department of Management, Information, and Production Engineering. His expertise spans Model Predictive Control (MPC), Artificial Pancreas systems, distributed control, and epidemiological modeling. He holds a Ph.D. from the University of Seville, with postdoctoral research at CONICET (Argentina) and visiting positions at the University of Wisconsin-Madison and the University of Seville. Education: Bachelor's and Master's in Computer Science Engineering (University of Pavia, 2004-2006) Ph.D. in Engineering (University of Seville, 2011) Research focuses on MPC applications in biomedical systems, energy systems, and robotics. He has pioneered techniques for handling circadian variability in insulin sensitivity and optimizing social distancing in SIR epidemiological models. His work integrates AI and machine learning for predictive maintenance and material design. Key awards include the Best Conference Paper Award at the 2022 IFAC CAO conference. Over 90 publications span journals like Automatica , IEEE Transactions , and conferences like ICUAS and LARS. He teaches advanced control courses, including Model Predictive Control fundamentals at the PhD level. His research groups collaborate internationally, addressing challenges in microgrid energy management, obstacle-avoidance robotics, and personalized medical device design.