جست‌وجوی استاد و پژوهشگر

• Biomedical Signal Processing
• Neuroscience
• Artificial Intelligence
• +۱۲ مورد دیگر

Gabriella Olmo is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where she also serves as a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. Her academic and research activities are centered on biomedical signal processing, neuroscience, and artificial intelligence, with a strong emphasis on healthcare applications. She is actively involved in doctoral education, supervising PhD candidates in Computer and Systems Engineering, Artificial Intelligence, and Biomedical Engineering, and has contributed to doctoral programs at both the Polytechnic University of Turin and the University of Turin. Her research interests include biomedical signal processing , neuroscience , artificial intelligence , telecommunications , and digital health , with applications in Parkinson’s disease, sleep disorders, neonatal monitoring, and stress assessment. She leads several major research initiatives funded by national and European programs, including PNRR, EU Horizon Europe, and private foundations, focusing on wearable technologies, AI-driven diagnostics, and telemedicine. Her recent publications demonstrate a consistent trend in developing AI-powered, non-invasive solutions for monitoring neurodegenerative and sleep disorders using wearable sensors and signal processing. These works span topics such as freezing of gait detection, REM sleep behavior disorder, neonatal pain assessment, and deep brain stimulation effects, reflecting a strong interdisciplinary focus on clinical translation of engineering innovations. She has led or managed numerous competitive research projects, including OMNIA-PARK, PERSIMMON, S-CoDe, and NODES, and holds patents in distributed arithmetic coding and video storage. Her leadership roles as Scientific Director and Contractual Manager highlight her active engagement in both academic and applied research. She advises a large cohort of PhD students working on AI in healthcare, computer vision, and biomedical signal analysis. Her teaching portfolio includes courses in Signal Analysis, Telemedicine Technologies, Artificial Intelligence in Medicine, and Machine Learning in Healthcare, across undergraduate, master's, and doctoral levels. She is a key member of the SMILIES research group, which focuses on resilient computing architectures for life sciences, and collaborates with healthcare institutions such as the Orfanelle Nursing Home on geriatric frailty monitoring.

• Geriatric Physical Therapy
• Healthcare Education
• Resilience Training
• +۷ مورد دیگر

Karen Blood is a Clinical Associate Professor in the Department of Physical Therapy at Quinnipiac University's School of Health Sciences. She teaches core courses including Pathophysiology & Pharmacology I, Physical Therapy Process I Lab, Scholarly Inquiry II, and Physical Therapy Skills Elective. She is actively involved in curriculum development, student mentorship, and professional leadership. Education: BS in Exercise Science, Sacred Heart University MS in Physical Therapy, Sacred Heart University DPT, Northeastern University DHS (Doctor of Health Science), University of Bridgeport, focused on healthcare education Her research and professional interests span geriatric physical therapy, resilience training in students, deprescribing, interprofessional education, and competency-based curriculum development. She has led national initiatives to revise essential geriatric competencies for entry-level physical therapists. Her recent publications and presentations emphasize the integration of the Geriatric 5Ms model into education and practice, student mental health, and interdisciplinary collaboration in acute and geriatric care. Karen Blood has been recognized as a Certified Geriatric Clinical Specialist (GCS) by the American Board of Physical Therapy Specialties since 2011, with recertification valid through 2031. She has also contributed to educational innovation through journal clubs, curriculum design, and leadership in professional organizations. She mentors Doctor of Physical Therapy students in scholarly projects, particularly in areas of burnout, stress, and gratitude interventions. She has received research support for student-led projects on resilience and wellness. Her teaching and scholarship are closely tied to clinical practice, where she continues to serve as a Physical Therapist at Griffin Hospital. Karen is actively involved in professional service, including leadership roles in the American Physical Therapy Association. She chairs the Academic Education Committee for the Academy of Geriatrics and serves on the Geriatric Specialty Panel for the American Board of Physical Therapist Specialists. Her work has helped shape national standards for geriatric physical therapy education.

Ross T. Whitakerمشاهده پروفایل

استاد

• Image Processing
• Scientific Computing
• Statistical Shape Analysis
• +۷ مورد دیگر

Ross T. Whitaker is a Professor and Director of the School of Computing at the University of Utah, where he is also a faculty member of the Scientific Computing and Imaging (SCI) Institute. He has been a key figure in advancing computational methods in medical imaging, geometry processing, and scientific visualization. University: University of Utah School: School of Computing Institute: Scientific Computing and Imaging (SCI) Institute Education: B.S. in Electrical Engineering and Computer Science, Princeton University (Summa Cum Laude, 1986) Ph.D. in Computer Science, University of North Carolina at Chapel Hill (1994) Research Interests: Ross Whitaker's research spans image analysis, statistical shape modeling, GPU-based PDEs, level-set methods, and uncertainty visualization. His work emphasizes adaptive, data-driven models for image denoising, segmentation, and reconstruction, often using nonparametric statistics and information-theoretic principles. He has pioneered methods in tetrahedral meshing, particle systems for surface sampling, and manifold learning. Recent Publication Trends: His recent publications (2020–2025) highlight a strong focus on statistical shape analysis in medical applications, particularly in metopic craniosynostosis , using tools like DeepSSM and CranioRate . There is a growing emphasis on deep learning, explainable AI, and multimodal sensing (e.g., audio-visual detection of idling vehicles). His interdisciplinary work bridges computer science, biomedical engineering, and environmental health. Scientific Awards: IEEE Fellow NSF Career Award Alumni Scholarship Award (UNC Chapel Hill) Advising and Grants: He leads a graduate research group in image analysis and scientific computing, mentoring students like Miriah Meyer (Ph.D. 2010). His projects are supported by federal agencies and industrial contracts, focusing on shape modeling, medical imaging, and environmental monitoring. He has developed influential software such as ShapeWorks, Seg3D, Cleaver, and contributed to ITK. Labs and Teams: He is a core member of the SCI Institute, a leading interdisciplinary research center in scientific computing and visualization. His team develops computational tools for biomedical image analysis and uncertainty quantification, with applications in surgery, diagnostics, and public health.

Oleg Aslanidiمشاهده پروفایل

استاد

• Computational Modelling
• Cardiac Electrophysiology
• Atrial Fibrillation
• +۱۲ مورد دیگر

Oleg Aslanidi is a Professor of Biomedical Engineering whose research focuses on computational modeling of cardiac electrophysiology, particularly in the context of atrial fibrillation and digital twins for healthcare. His work integrates biophysical modeling, artificial intelligence, and medical imaging to develop personalized decision-support systems for clinical cardiology. Active in research with over 114 research outputs Primary Investigator on multiple BHF- and EPSRC-funded projects Editorial roles in journals such as Frontiers in Cardiac Electrophysiology Focus on translational modeling for ablation therapy and stroke risk prediction His research interests lie at the intersection of engineering and medicine, with a strong emphasis on using computational tools to understand and treat cardiac arrhythmias. Key areas include atrial fibrillation mechanisms , thrombogenesis risk modeling , image-based patient-specific simulations , and AI-driven clinical predictions . He employs multi-scale modeling techniques that span from ion channels to whole-organ dynamics, often integrating MRI data for anatomical accuracy. The recent trend in his publications shows a clear shift toward integrating artificial intelligence with biophysical models to enhance clinical decision-making. His work increasingly emphasizes interpretability in deep learning , non-Newtonian blood flow modeling , and personalized risk stratification for stroke and ablation outcomes. These articles span disciplines such as biomedical engineering, cardiology, computational fluid dynamics, and machine learning, reflecting a highly interdisciplinary approach. His scientific contributions are recognized through active editorial and peer-review roles: Associate Editor, Frontiers in Cardiac Electrophysiology (2021–present) Peer reviewer for IEEE Access , Philosophical Transactions of the Royal Society A , and other leading journals Invited speaker at international workshops and conferences As a research leader, Dr. Aslanidi has supervised several trainees and leads a research group focused on computational cardiology. He has secured significant grant funding, including from the British Heart Foundation and EPSRC, supporting projects such as: Computational decision support system for atrial fibrillation management (2024–2027) Image-based system for guiding ablation treatment (2018) Dissecting multifactorial mechanisms of atrial fibrillation (2015–2018) Evolution of arrhythmogenic substrate in canine atria (2012–2014) His work contributes to UN Sustainable Development Goals related to good health and well-being, particularly through improving cardiovascular disease outcomes.

Vladimir Carli and Gergö Hadlaczkyمشاهده پروفایل

پژوهشگر

• Suicide prevention
• Mental health epidemiology
• Psychiatric genetics
• +۳ مورد دیگر

Vladimir Carli and Gergö Hadlaczky are researchers at the National Centre for Suicide Research and Prevention of Mental Health (NASP) within Karolinska Institutet's Department of Learning, Informatics, Management and Ethics. They lead interdisciplinary research on suicide determinants and mental health interventions. Research Focus: Their work spans Biological, psychological, and social suicide risk factors Digital mental health systems (e.g., VR, eHealth) Genomic studies of suicidality Population-level mental health epidemiology Key Projects: Forte-funded suicide process study (SEK 5.995M) Tim Bergling Foundation digital training initiative EXPERIENCE project (VR + XAI for depression) Publication Trends: Recent articles analyze Genetic interactions with childhood trauma (P2RX7, CLOCK genes) Screen time and sleep pathways Body odor's catalytic role in anxiety treatment Population-level suicide pattern analysis

• Biomedical Engineering
• Soft Robotics
• Wearable Medical Devices
• +۴ مورد دیگر

Muthu B Wijesundara is a Research Professor in the Bioengineering department at The University of Texas at Arlington . He has held various positions including Principal Research Scientist at UTARI and Faculty Associate at the Automation and Robotics Research Institute. His work focuses on biomedical devices , soft robotics , and sensor arrays for rehabilitation and trauma prevention. His research involves soft robotic gloves for hand therapy, pressure modulation systems to prevent ulcers, and impact-mitigating materials . Publications span biomechanics , neural stimulation , and wearable technology . Grants include federal funding from NIH, NSF, and CDMRP for projects like ReHeal Glove and AFIRMII Bioreactor . $498,968 NIH grant for Clinical Trial of ReHeal Glove $741,767 CDMRP grant for Automated Seat for Pressure Ulcer Prevention $1.3M NSF grant for Multi-Modal Skin and Garments He holds patents for fluid-driven actuators , interconnected cell arrays , and variable stiffness insoles . Awards include Founding Fellow of SaferCare Texas Patient Safety Institute. Service roles include Institutional Lab Safety Board membership and Task Force on Faculty Diversity.

• Sleep Physiology
• Biological Rhythms
• Chronobiology
• +۱۱ مورد دیگر

Silvia Tejada Gavela is a full-time Associate Professor in the Department of Biology at the University of the Balearic Islands (UIB), where she also serves as Deputy Director in Physiology. She is actively involved in teaching and research across multiple faculties, including Biology, Pharmacy, Physiotherapy, and Nutrition. Her academic and research profile is deeply interdisciplinary, spanning physiology, biochemistry, neuroscience, and environmental science. Education: Double degree in Biology and Biochemistry Ph.D. in Basic Medical Sciences, University of the Balearic Islands (UIB) Research Interests: Her primary research areas include sleep physiology, biological rhythms (chronobiology), linear and nonlinear analysis of time series, oxidative stress biomarkers and regulation, minimally invasive surgical techniques, growth plate studies, and aquatic ecotoxicology. She integrates physiological, biochemical, and ecological approaches in both animal and human health contexts. Publication Trends: Her recent scholarly work reflects a strong focus on oxidative stress in marine and clinical settings, neuropharmacology of wake states, surgical innovations, and the physiological and nutritional basis of health. The interdisciplinary nature of her research is evident in publications spanning neuroscience, orthopedics, toxicology, and nutrition. She has published 51 articles in international journals, with several in the first quartile. Scientific Contributions: Principal Investigator in the Neurofisiol R&D group Member of FI-TRACE and ECOINT research groups 67 oral/poster presentations at major scientific societies (SEBBM, SFRR, ERAS, EPOS, EFORT, SECF) Participant in 21 competitive research projects and 3 teaching innovation projects (PI in one each) Two research stays at prestigious institutions (Nijmegen, Tenerife) Advising and Grants: She is currently supervising doctoral theses in Nutrition, Neuroscience, Translational Public Health, and Plant Biology. She has led funded projects through National Plans, FIS, and CAIB special actions, including public administration research contracts. Her teaching spans undergraduate and master's levels in biology, physiotherapy, and nutrition. Laboratories and Research Teams: She leads the Neurofisiology (Neurofisiol) research group and is an active member of FI-TRACE (Flow Injection and Trace Analysis) and ECOINT (Interdisciplinary Ecology), fostering collaborative, multidisciplinary research in physiology, analytical biochemistry, and environmental health.

• Internet of Things (IoT)
• Smart Grids
• Renewable Energy Systems
• +۳ مورد دیگر

Mohamed A. Ahmed is a researcher affiliated with Central Michigan University, School of Engineering & Technology , with additional collaborations across institutions like Ain Shams University, Memorial University of Newfoundland, and Prince Sultan University. His work spans interdisciplinary domains including Internet of Things (IoT) Smart Grids Renewable Energy Systems Machine Learning Recent research focuses on IoT platforms for smart energy management , including electric vehicle charging infrastructure, remote elderly care systems, and large-scale wind turbine monitoring. He has contributed to wireless network architectures for cyber-physical energy systems and developed fuzzy logic algorithms for EV charging prioritization. Publications highlight expertise in time-series forecasting for energy demand, clustering algorithms for smart grid planning, and data aggregation techniques in wind energy applications. Collaborations frequently involve researchers such as Young-Chon Kim, Ali Mohamed Eltamaly, and José Luis Gallardo.

Gregory A. Abelمشاهده پروفایل

استاد

• Hematologic Malignancies
• Health Services Research
• Outcomes Research
• +۷ مورد دیگر

Gregory A. Abel, MD, MPH, is a Professor of Medicine at Harvard Medical School and a Senior Physician at Dana-Farber Cancer Institute (DFCI), where he is a member of the Divisions of Hematologic Malignancies and Population Sciences. He directs the Older Adult Hematologic Malignancy (OHM) Program and the Clinical Ethics Service at DFCI, and co-chairs the Ethics Advisory Committee. His clinical and research work bridges oncology, geriatrics, bioethics, and health services research. MD and MPH, Columbia University (2000) Residency in Internal Medicine, Massachusetts General Hospital Fellowship in Hematology/Oncology, Dana-Farber/Partners CancerCare Dr. Abel’s research focuses on improving outcomes for patients with hematologic malignancies, especially older adults. His work emphasizes health services research, patient-reported outcomes, geriatric assessment, and ethical issues in cancer care. He investigates disparities in clinical trial access, the impact of frailty, and the integration of digital health tools. His recent studies explore AI ethics, climate-conscious medicine, and equity in eligibility criteria. He leads a research lab applying population-level data to enhance patient-centered care across the cancer trajectory. His recent publications reflect a strong trend toward equity, ethics, and innovation in oncology. Key themes include racial disparities in trial access, digital health for functional monitoring, ethical deployment of AI, and sustainability in cancer care. He frequently publishes in top-tier journals such as JAMA Oncology, Blood, The Lancet Haematology, and The New England Journal of Medicine. Co-Chair, DFCI Ethics Advisory Committee Director, Clinical Ethics Service, DFCI Director, Older Adult Hematologic Malignancy Program Senior Physician, Dana-Farber Cancer Institute Dr. Abel is deeply involved in mentoring, grant-funded research, and national guideline development, including contributions to American Society of Hematology guidelines. His work is supported by institutional and federal funding, though specific grants are not listed. He collaborates across disciplines, including oncology, geriatrics, bioethics, and public health, to address complex challenges in blood cancer care. He is affiliated with multiple research centers, including the Adult Leukemia Program and the Population Sciences Division at DFCI. His lab focuses on real-world data, patient-reported outcomes, and intervention development to improve care delivery and equity.

David Simarمشاهده پروفایل

استاد

• Cancer Survivorship
• Exercise Physiology
• Pediatric Chronic Conditions
• +۳ مورد دیگر

Professor David Simar is Deputy Dean of Research Operations at the Faculty of Medicine and Health, University of New South Wales (UNSW). His research focuses on long-term complications of cancer and the therapeutic role of exercise in pediatric and adult populations. He leads translational studies from cellular models to human trials to improve early detection of cancer survivors at risk and enhance therapeutic practices. His work also explores the preventive role of exercise in pediatric chronic conditions. Educations : PhD in Physiology, University of Montpellier, France MSc in Exercise Physiology, University of Montpellier, France BSc in Exercise Physiology, University of Montpellier, France Research Interests : David’s research spans cancer survivorship, exercise physiology, and metabolic complications. He investigates mechanisms linking inflammation, endocrinology, and immunology to long-term health outcomes in survivors. Current projects include: A targeted exercise intervention for gynecological cancer survivors (ACUMEN Trial) Nutrient utilization in children with inborn errors of metabolism Impact of irradiation on metabolic and immune functions Grants & Awards : 2019–2024: $2M+ EU H2020 grant for the FALAH project on Pacific health 2022 UNSW Vice Chancellor Award for HDR Leadership 2015 Quality and Innovation Award in Preventive Health Advising & Grants : Supervises PhD students on projects like gut microbiome effects on exercise adaptation and metabolic disorders in cancer survivors. Over $8M in grants from NHMRC, Cancer Council, and industry partnerships. Labs & Teams : Leads the FALAH initiative exploring Pacific lifestyle interventions and collaborates with multidisciplinary teams on clinical trials like the ACUMEN project.

• Qualitative Methods
• Personality Disorders
• Systematic Reviews
• +۵ مورد دیگر

Dr. Andrew Shepherd is an Honorary Clinical Lecturer in the Division of Psychology & Mental Health (L5). His research focuses on mental health within criminal justice contexts, including personality disorders, prison social care, and qualitative methods. He has contributed to studies on prisoner welfare, forensic psychiatry, and patient experience data analysis. Education: PhD in Psychology (2016), supervised by Dr. Jonathan Shaw, Dr. Martin Wan, and Dr. Michael Doyle. Awards: Duncan Macmillan Essay Prize (2018), Gill McGauley Prize (2018), and Gill McGauley Prize in Forensic Psychotherapy (2018). Research Interests: Qualitative methodologies, personality disorders, forensic mental health, criminal justice system dynamics, and patient recovery processes. His work bridges clinical practice and policy, particularly in prison environments and community mental health settings. Grants & Projects: LoSCiP: Lower Level Social Care Needs in Prison (2022–2024). Models of Social Care Provision and Prison (2021–2022). Labs/Teams: Collaborates with interdisciplinary teams on prison social care, forensic psychotherapy, and qualitative research initiatives.

• Autoimmunity
• Rheumatology
• Immunology
• +۵ مورد دیگر

Marie Wahren-Herlenius is Professor of Experimental Rheumatology at Karolinska Institutet and Head of Department at the Department of Medicine, Solna since 2021. She leads the Autoimmunity and Cancer research group focusing on immune system function in autoimmune diseases and cancer. With extensive international experience from the University of Bergen, University of Tokyo, and Harvard Medical School, she has established herself as a leading researcher in rheumatology. Her research interests center on autoimmune rheumatic diseases, particularly Sjögren's syndrome, congenital heart block, and the role of interferons in autoimmune conditions and cancer. She investigates why women are disproportionately affected by rheumatic diseases, with nine out of ten Sjögren's syndrome patients being women. Her work spans experimental studies at cellular and molecular levels, experimental models, and clinical patient-based research. Analysis of her recent publications reveals a strong focus on genetic factors in autoimmune diseases, particularly HLA associations and polygenic risk scores. Her research consistently explores sex differences in autoimmune conditions and the molecular mechanisms behind autoantibody production. The work bridges basic immunology with clinical applications, particularly in understanding disease pathogenesis to develop better diagnostics and treatments. Göran Gustafsson Prize in Medicine Nanna Svartz Prize for Rheumatological Research Scandinavian Journal of Rheumatology's Prize for Rheumatological Research IMID Prize for Research on Immune-Mediated Inflammatory Diseases Three nominations for best abstract by Swedish Rheumatological Society Three doctoral theses from her group nominated for best rheumatology thesis Professor Wahren-Herlenius has chaired the Scandinavian Immunology Society (2010-2015), Junior Faculty at Karolinska Institutet (2002-2005), and the Doctoral Student Association (1991). Her research group comprises approximately 15 people with both clinical and basic science backgrounds. She has received significant research funding supporting studies on autoimmune mechanisms, with particular emphasis on understanding the cellular and molecular basis of disease processes to develop prevention strategies, new diagnostics, and treatments. Her laboratory investigates the function of interferon-regulated genes in autoimmune diseases and cancer using various techniques including lentiviral CRISPR/Cas9, shRNA, and experimental models. The group also uses genome-wide CRISPR/Cas9 libraries in cancer cells to identify genes involved in metastasis and drug response.

• Nursing Education
• Medical Education
• Faculty Development
• +۷ مورد دیگر

Ruth Chen is an Associate Professor in the School of Nursing at McMaster University. Her work focuses on nursing education, faculty development, and leadership training in healthcare settings. With numerous publications in top-tier journals, she has established herself as a key researcher in educational methodologies within healthcare professions. Dr. Chen's research spans several key areas including cognitive load theory in nursing education, simulation-based learning, diversity in faculty development, and leadership training ecosystems in healthcare. Her work often examines how educational practices can be optimized to improve both teaching effectiveness and patient outcomes. She has particular expertise in evaluating innovative teaching methods and their impact on learner performance. Analysis of Dr. Chen's publications reveals a strong focus on educational innovation in healthcare settings. Her recent work (2023-2025) shows increasing attention to equity-focused education, international nurse integration, and digital health interventions. She frequently employs qualitative and mixed-methods approaches to explore complex educational phenomena in nursing and medical contexts. Dr. Chen has taught several graduate-level courses including Foundations of Nursing Leadership (NURSING 707), Pathophysiology for NPs (NURSING 761B), Advanced Practicum in Nursing (NURSING 711), and Management and Leadership in Health Professions Education (HSEDUC 706). Her teaching spans from 2017 to the present, demonstrating sustained engagement in nursing education. Dr. Chen has collaborated with numerous researchers across McMaster University, including Teresa Chan, Geoffrey Norman, Lawrence Grierson, and Ellen Olive Wahoush. While the VIVO database indicates no currently loaded grants, her extensive publication record suggests active research engagement.

Ben Daviesمشاهده پروفایل

مدرس

• Bioethics
• Political Philosophy
• Health Care Ethics
• +۱۲ مورد دیگر

Ben Davies serves as Lecturer in Political Philosophy at the University of Sheffield's School of History, Philosophy and Digital Humanities since September 2023, following a Research Fellowship at Oxford's Uehiro Centre for Practical Ethics and teaching positions at Leeds and US institutions. His academic foundation includes studies at King's College London and the University of Edinburgh. His research centers on healthcare ethics with primary focus on intergenerational justice, patient/practitioner responsibility, and health sufficiency frameworks. Current work examines democratic health priority-setting processes, while additional interests span ageing ethics, animal welfare, disability theory, discrimination, professional ethics, and well-being concepts. He actively seeks collaboration with healthcare priority-setters across operational levels. Davies' publication trajectory from 2020-2025 reveals concentrated expertise in bioethics and political philosophy, particularly regarding health justice frameworks and responsibility ethics. His work appears in leading journals including Bioethics , Journal of Medical Ethics , and Cambridge Quarterly of Healthcare Ethics , addressing critical issues like resource allocation during pandemics, genetic information rights, and fiduciary models in clinical decision-making. Scientific awards: No awards documented in source materials. As an educator, Davies teaches 'Global Justice' (Autumn) and 'Topics in Political Philosophy' (Spring), while welcoming MA/PhD supervision inquiries in bioethics, political philosophy, and health-related applied ethics. He explicitly encourages engagement from healthcare practitioners involved in priority-setting. No laboratory or research team affiliations are indicated in available documentation.

• Mathematical modeling
• Biomedical engineering
• Cerebral blood flow
• +۴ مورد دیگر

Dr. Irina Sidorenko is a Researcher in the Department of Mathematics at the Technical University of Munich, working within the School of Computation, Information and Technology. She is affiliated with the Chair of Analysis and Modelling under Prof. Zimmer and is an active member of the Analysis and Mathematical Biology research group. Her work bridges advanced mathematical techniques with critical biomedical applications, particularly in neonatal physiology. Dr. Sidorenko's research focuses on mathematical modeling of physiological systems, with particular emphasis on cerebral blood flow and oxygen transport mechanisms in the developing brain. Her work combines differential equations, inverse problems, and numerical analysis to create sophisticated models that capture complex biological processes. She has made significant contributions to understanding hemodynamics in preterm infants, developing models that account for factors like hematocrit levels, blood gases, and capillary network structures. Her research has evolved from plasma physics in her early career to biomedical applications, demonstrating remarkable interdisciplinary versatility. Analysis of her recent publications reveals a strong focus on neonatal cerebral physiology, with consistent output in high-impact journals spanning mathematics, engineering, and medical disciplines. Her work shows increasing sophistication in modeling approaches, moving from basic continuum models to more complex spatially-averaged network models that incorporate multiple physiological factors. The research demonstrates a clear translational trajectory, with mathematical insights increasingly directed toward solving specific clinical challenges in neonatal care. Dr. Sidorenko maintains active collaborations with medical researchers, particularly in neonatology, creating a productive interdisciplinary research environment. Her work on cerebral blood flow modeling has direct clinical relevance, potentially informing diagnostic and therapeutic approaches for preterm infants at risk of intraventricular hemorrhage. The Analysis and Mathematical Biology group provides a rich research environment where mathematical theory meets biomedical application. Dr. Sidorenko's work exemplifies how sophisticated mathematical modeling can address complex physiological questions, creating quantitative tools that have the potential to improve clinical outcomes for vulnerable patient populations.