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David JacobsView profile

Assistant Professor

• Pharmacy Practice
• Public Health
• Clinical Pharmacology
• +5 more

David Jacobs, PhD, is an Assistant Professor in the Department of Pharmacy Practice at the University at Buffalo's School of Pharmacy and Pharmaceutical Sciences. His research focuses on optimizing pharmacy practice to address health disparities, with emphasis on substance use disorders, social determinants of health, and chronic disease management. Dr. Jacobs is particularly interested in improving patient outcomes through community pharmacy interventions, antimicrobial stewardship, and medication safety initiatives. Key research areas include opioid use disorder prevention and treatment, polypharmacy management in aging populations, and transitions-of-care optimization. His work frequently employs mixed methods and population-level data analysis to understand prescribing patterns and healthcare utilization trends. Dr. Jacobs collaborates with interdisciplinary teams to evaluate the effectiveness of clinical pharmacy services in diverse settings, including community pharmacies and primary care practices. His studies often highlight the role of pharmacists in addressing social determinants of health, such as food insecurity and medication access barriers. Notable contributions include analyzing opioid prescribing trends among patients with alcohol use disorders, evaluating diabetes management programs in community pharmacies, and investigating bleeding risks in anticoagulant therapies. He is actively involved in translational research to bridge gaps between academic findings and real-world healthcare practice. Dr. Jacobs holds a PhD and maintains an office in the Pharmacy Building 316, Buffalo, NY. His contact information includes dmjacobs@buffalo.edu for academic inquiries.

Yunfeng ShiView profile

Associate Professor

• Health Policy
• Health Information Technology
• Health Care Markets
• +4 more

Yunfeng Shi is an Associate Professor in the Department of Health Policy and Administration at Penn State University's College of Health and Human Development. His research examines consumer responses to healthcare market transformations, including information systems, insurance policies, technological advancements, and government interventions. Ph.D., Information Systems and Public Policy, Carnegie Mellon University M.S., Economics, Carnegie Mellon University M.P.A., Public Administration, University of Wyoming B.A., English Literature, Fudan University Shi's work bridges health policy analysis with health information technology, focusing on how systemic changes affect patient behavior and clinical outcomes. Key areas include electronic health records , care delivery redesign , and multi-sector healthcare alliances . His research often addresses population health management and policy evaluation. Recent publications explore healthcare production functions , online health information seeking , and telehealth utilization across diverse conditions. The studies emphasize quantitative analysis of market dynamics and technology adoption in healthcare systems. Contact Information: Office: 504E Ford Building, Penn State University Park, PA 16802. Phone: 814-863-2902. Email: yus16@psu.edu. RAPID: Developing Advanced Modeling and Analysis Tools to track Human Movement Patterns and Coronavirus Spread Dynamics (2020-2022), funded by National Science Foundation

Richard CubbonView profile

Research Fellow

• Vascular Biology
• Metabolism
• Diabetes
• +4 more

Dr Richard Cubbon is a University Academic Fellow and Honorary Consultant Cardiologist at the University of Leeds. He combines clinical practice with research focused on vascular biology, metabolism, and diabetes-related cardiovascular complications. His work explores how metabolic processes at cellular and systemic levels influence vascular health, with particular emphasis on endothelial dysfunction, atherosclerosis, and heart failure outcomes. Dr Cubbon holds an MBChB from the University of Leicester (2002) and a PhD in vascular biology from Leeds (2009). He completed a BHF Intermediate Clinical Research Fellowship (2013–2016), including a visiting fellowship at Prof. Peter Carmeliet’s lab in Leuven, Belgium. He currently leads the BHF 4-year PhD Programme as Deputy Director and supervises clinical and non-clinical PhD students, alongside teaching medical undergraduates. Research interests include: Metabolic-vascular interactions in diabetes/insulin resistance Endothelial IGF-1 signaling pathways Heart failure comorbidity trajectories and prognostication Cardio-oncology and multimorbidity challenges Recent studies highlight: Impact of socioeconomic deprivation on heart failure mortality Novel biomarkers for diabetic cardiomyopathy (Erbb3, Hspa2) Mechanisms linking endothelial dysfunction to adipose tissue crosstalk Awards include the British Heart Foundation Intermediate Clinical Research Fellowship. His work integrates basic science with clinical translation, addressing both disease mechanisms and therapeutic strategies.

Kristin Kaasen JørgensenView profile

Professor

• Immunology
• Gastroenterology
• Inflammatory Bowel Disease (IBD)
• +3 more

Kristin Kaasen Jørgensen is a full-time Professor at the Division of Medicine and Laboratory Sciences, Faculty of Medicine, University of Oslo. Her research focuses on immunology, gastroenterology, and vaccine responses in immune-mediated inflammatory diseases. Affiliation: University of Oslo (Faculty of Medicine/Division of Medicine and Laboratory Sciences) Her work explores the intersection of inflammatory bowel disease (IBD), primary sclerosing cholangitis (PSC), and immune responses to SARS-CoV-2 vaccines in immunosuppressed patients. She investigates therapeutic drug monitoring strategies for biologics like infliximab, genetic risk factors for drug immunogenicity, and microbiota interactions in liver-intestinal diseases. Recent publications highlight her expertise in: Hybrid immunity in IBD patients T-cell responses to multiple vaccine doses HLA genotype associations with anti-drug antibodies Microbiota-liver axis mechanisms Machine learning for PSC prognosis She collaborates extensively with clinicians and researchers across Norway, contributing to randomized clinical trials and cohort studies.

Adina DudauView profile

Professor

• Public Management
• Non-profits management
• Accountability
• +4 more

Adina Dudau is a Professor of Public Management at the University of Glasgow's Adam Smith Business School. Her research focuses on public management, non-profits, accountability, leadership, and crisis management. She holds editorial roles in journals like Public Management Review and serves on boards of professional organizations. Her work spans theoretical frameworks in risk management, complexity, and organizational behavior. Adina's career includes roles as Associate Research Director and PGR Director in the Adam Smith Business School, and she currently serves as SGSSS Associate Director. She leads research in hybrid public management, co-production in public services, and integrity ecosystems. Her recent grants include leading the 'Integrity Management' work package in a Horizon grant (2023) and securing a Carnegie Trust grant on hybrid accountability (2018). Her teaching includes managing in public sectors, international management contexts, and research methods across undergraduate and postgraduate levels. She supervises doctoral research in areas like co-production ecosystems, integrity management, and dynamic capabilities in AI adoption. Adina's publications emphasize interdisciplinary approaches, with special issues on public sector resilience and hybrid governance. Her research explores accountability mechanisms, leadership in public partnerships, and innovation in public services.

• Social Robotics
• Human-Robot Interaction
• Assistive Technology
• +4 more

Prof. Kerstin Dautenhahn is a leading academic in social robotics and human-robot interaction, currently holding a professorship in the Department of Electrical and Computer Engineering (ECE). She was elevated to IEEE Fellow in 2019 for her transformative contributions to social robotics, particularly in assistive technologies and educational applications. Her work spans healthcare robotics, special education support, and human-centric design methodologies. Research Interests: Prof. Dautenhahn’s expertise includes developing robots for autism therapy (e.g., the Kaspar humanoid robot), designing educational tools for students with learning disabilities, and advancing ethical frameworks for human-robot collaboration. Her research emphasizes co-design approaches involving end-users such as children, clinicians, and educators to ensure practical applicability. Recent articles highlight her exploration of robot autonomy, error-handling in HRI, and applications in stuttering therapy. Notable achievements include the IEEE Fellow distinction and leadership in multidisciplinary projects addressing societal challenges through robotics.

• Biomedical Signal Processing
• Neuroscience
• Artificial Intelligence
• +12 more

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
• +7 more

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. WhitakerView profile

Professor

• Image Processing
• Scientific Computing
• Statistical Shape Analysis
• +7 more

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 AslanidiView profile

Professor

• Computational Modelling
• Cardiac Electrophysiology
• Atrial Fibrillation
• +12 more

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 HadlaczkyView profile

Researcher

• Suicide prevention
• Mental health epidemiology
• Psychiatric genetics
• +3 more

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
• +4 more

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
• +11 more

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
• +3 more

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. AbelView profile

Professor

• Hematologic Malignancies
• Health Services Research
• Outcomes Research
• +7 more

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.