جست‌وجوی استاد و پژوهشگر

• Solar Energy
• Photovoltaics
• Water Disinfection
• +۳ مورد دیگر

Marta Vivar Garcia serves as a Contracted Professor within the Department of Electronic and Automatic Engineering at the University of Jaén, actively contributing to the Center for Advanced Studies in Earth Sciences, Energy. Her work centers on the Research and Development in Solar Energy group, where she pioneers hybrid photovoltaic-water treatment technologies with global sustainability applications. She earned her PhD from Universidad Politécnica de Madrid in 2009 with a dissertation on Optimization of Euclidean Concentration Photovoltaic Technology , supervised by Dr. Gabriel Sala Pano. Her academic foundation integrates electronics engineering with renewable energy systems. Vivar Garcia's research focuses on solving critical water-energy challenges through innovations like the SolWat system, which simultaneously generates electricity and disinfects water using photovoltaic modules. Her work spans solar disinfection kinetics, hybrid system optimization, IoT-based monitoring for remote installations, and practical implementations in arid regions and refugee camps. She emphasizes scalable solutions for developing communities while addressing environmental and economic viability. Analysis of her 15 most recent publications reveals three dominant trends: (1) Evolution from basic SolWat prototypes to grid-integrated wastewater treatment systems compliant with EU regulations; (2) Increasing sophistication in pathogen-specific disinfection modeling using UV-LEDs and solar optics; (3) Strategic expansion into IoT-enabled mass monitoring for off-grid solar systems in resource-constrained settings. Her work consistently bridges fundamental engineering principles with urgent global sustainability needs. As leader of the Research and Development in Solar Energy group, she directs projects focused on photovoltaic-water synergy, with field trials spanning Mexico's rural communities to Saharawi refugee camps. Her team specializes in converting theoretical solar energy concepts into field-deployable technologies that address both electricity access and water safety challenges.

Sebastiaan Breedveldمشاهده پروفایل

دانشیار

• Radiation Therapy
• Applied Mathematics
• Decision-Making
• +۳ مورد دیگر

Dr. Sebastiaan Breedveld is an Associate Professor in the Department of Radiation Oncology at Erasmus University Medical Center in Rotterdam, The Netherlands. His research focuses on improving radiation therapy through applied mathematics, multi-criteria optimization, and automated treatment planning. He developed the clinically implemented Erasmus-iCycle algorithm and leads projects like TROTS (Radiotherapy Optimisation Test Set). Education includes a PhD in Medical Physics (cum laude) from Erasmus University Rotterdam and an MSc in Applied Mathematics from Delft University of Technology. Research interests center on developing computational methods for real-time, personalized radiotherapy. Key areas include: Large-scale optimization for treatment planning Deep learning for instantaneous dose prediction Multi-criteria decision analysis for balancing treatment trade-offs Proton therapy and VMAT techniques High-performance computing applications Recent publications demonstrate strong focus on AI-driven automation in brachytherapy, IMPT robustness, and FLASH proton therapy. Work consistently addresses clinical translation of mathematical optimization. Significant scientific awards include: NWO Vidi Grant (2021) for INSTORAD project NWO Veni Grant (2016) MCDM Doctoral Dissertation Award (2015) Erasmus MC Efficiency Grant (2015) PhD with honors (2013) Leads research group supervising 2 post-docs, 11 PhD students, and numerous master/bachelor projects. Major grants support work in proton therapy optimization and automated planning systems. Developed TROTS dataset for benchmarking radiotherapy optimization algorithms and collaborates internationally through projects like BiCycle for automated brachytherapy planning.

Evan Williamsمشاهده پروفایل

دانشیار

• Ambulatory Care
• Family Medicine
• Scholarship of Teaching and Learning
• +۵ مورد دیگر

Evan Williams serves as Associate Professor of Pharmacy Practice and Director for Accreditation Services at Roseman University's College of Pharmacy. He provides clinical pharmacy services at Valley Hospital Medical Center specializing in transitions of care while teaching clinical topics and lab skills across the pharmacy curriculum. His educational background includes: Master of Business Administration (Healthcare Management) from Husson University Doctor of Pharmacy from the University of Arizona Associate of Science from Glendale College Dr. Williams' research bridges clinical practice and academic innovation with primary focus areas in Ambulatory Care, Family Medicine, Scholarship of Teaching and Learning, and Learner Wellbeing. His work examines depressive symptoms in pharmacy residents through national studies while advancing accreditation standards and curricular assessment methodologies. Clinical interests include cardiovascular disease prevention and evidence-based drug information application. Recent publications (2017-2021) reveal consistent themes in mental health within pharmacy training, educational innovation, and ambulatory care practice development. Key contributions address emotional intelligence integration, hyperglycemia management protocols, and resident wellbeing frameworks, demonstrating his dual expertise in clinical pharmacy and academic leadership. Significant recognitions include: Nevada Volunteer Recognition Certificate for COVID-19 vaccination efforts (2021) ASHP Foundation Pharmacy Practice Research Award Nominee (2019) Consecutive P3/P4 Teacher of the Year awards (2013-2014) Dr. Williams mentors pharmacy students through clinical rotations and classroom instruction while leading accreditation initiatives for the College of Pharmacy. His national study on resident depression indicates collaborative research funding, and his interprofessional diabetes clinic with the Penobscot Nation demonstrates community engagement. Current work focuses on wellbeing integration and accreditation standards advancement. He maintains active clinical practice at Valley Hospital Medical Center and leads the College of Pharmacy's accreditation team, while contributing to professional organizations including ACCP and AACP. His textbook contributions and national presentations further establish his leadership in pharmacy education and practice innovation.

• Transport Engineering
• Statistical Modelling
• Transport Economics
• +۴ مورد دیگر

Professor Daniel Graham is a Professor of Statistical Modelling at Imperial College London's Department of Civil and Environmental Engineering, within the Faculty of Engineering. He leads the Centre for Transport Engineering & Modelling and directs the Transport Strategy Centre. His research focuses on statistical and mathematical models for transportation systems, including causal inference, data-centric engineering, and transport economics. Graham holds a PhD from Imperial College London and is a Fellow of the Institute of Mathematics and its Applications and the Royal Statistical Society. He also serves as a visiting professor at Zhejiang University and South East University in China. His work explores transport infrastructure performance, urban mobility, and policy impacts, with notable contributions to understanding the effects of cycling infrastructure, airport operations, and congestion pricing. Recent studies analyze causal relationships in transport safety, air quality impacts of transport policies, and the economic implications of urban rail expansions. Graham advises UK transport policy and contributed to parliamentary committees. His research integrates advanced statistical methods and machine learning to address complex transport challenges. Awards: FIMA (Fellow of Institute of Mathematics), FRSS (Fellow of Royal Statistical Society) Roles: Head of Centre for Transport Engineering & Modelling, Director of Transport Strategy Centre Key Projects: Data Centric Engineering Program at Alan Turing Institute, Transport Strategy Centre initiatives Publications emphasize causal transport policy evaluation, urban rail performance benchmarking, and the application of Bayesian methods. His work bridges academic research with real-world policy implementation, particularly in improving safety, efficiency, and sustainability of transport systems.

Filipe Alvesمشاهده پروفایل

پژوهشگر

• Industrial Engineering
• Systems Engineering
• Scheduling Systems
• +۵ مورد دیگر

Filipe Alves serves as a Researcher at Polytechnic Institute of Bragança and pursues a PhD in Industrial and Systems Engineering at University of Minho, with continuous research activity since 2017. His work bridges theoretical optimization frameworks and practical industrial applications through DTx - Digital Transformation CoLAB, a national R&D consortium focused on digital innovation. His academic foundation includes: Bachelor's in Biomedical Engineering (Polytechnic Institute of Bragança) Master's in Biomedical Technology (Polytechnic Institute of Bragança) Specializing in scheduling systems and metaheuristic algorithms , his research creates decision support tools for industrial automation and healthcare logistics . Key contributions address nurse scheduling, home healthcare routing, and virtual power plant optimization using MILP solvers and multi-agent architectures. His methodology integrates mathematical modeling with real-world constraints like time windows, resource capacities, and dynamic environments. Publication analysis reveals three dominant trajectories: (1) Healthcare logistics optimization (40% of recent work), featuring nurse/home care scheduling solutions; (2) Energy systems management (30%), particularly virtual power plant coordination; (3) Public health applications (20%), including pandemic impact studies and waste management. This evolution demonstrates increasing interdisciplinary reach while maintaining core optimization expertise. As an active DTx CoLAB member, he collaborates on digital transformation projects connecting academic research with industrial implementation. His current PhD research extends these efforts into industrial systems engineering frameworks for complex scheduling challenges.

Woldaregay, Ashenafi Zebeneمشاهده پروفایل

پژوهشگر

• Digital Health
• mHealth
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Woldaregay, Ashenafi Zebene is a researcher at UiT The Arctic University of Norway, affiliated with the Faculty of Health Sciences and the Department of Clinical Medicine. His work bridges digital health, artificial intelligence, and clinical applications, particularly in diabetes management and infectious disease surveillance. He is a key contributor to the EDMON (Electronic Disease Surveillance and Monitoring Network) project, which leverages self-recorded health data from people with Type 1 diabetes for early outbreak detection. PhD in Digital Health / Health Informatics (2021) Master’s in Electronic Disease Surveillance (2016) His research focuses on applying machine learning, data science, and AI to solve pressing healthcare challenges. Key areas include blood glucose pattern analysis in diabetes, anomaly detection, mHealth adoption, wearable technology, and syndromic surveillance. He has developed models for infection detection, surgical risk prediction, and deidentification of clinical text. His work emphasizes real-world applicability, patient engagement, and data privacy. The most recent articles show a strong trend toward transformer models, synthetic data, and instruction-guided NLP in clinical contexts, alongside continued work in mHealth usability, caregiver support, and personalized health monitoring. His publications span journals in health informatics, medical informatics, and digital health, reflecting interdisciplinary collaboration. Scientific contributions include: Development of the EDMON system for real-time infection monitoring Creation of datasets for wearables and mHealth motivation factors Systematic reviews on reinforcement learning in diabetes and AI in healthcare security Innovation in cluster detection algorithms (K-CUSUM) for outbreak detection While direct information on grants and advising is not provided, his role as a doctoral candidate and co-author on numerous student-led studies suggests involvement in research mentoring. He collaborates extensively with researchers such as Gunnar Hartvigsen, Eirik Årsand, and Karl Øyvind Mikalsen, indicating membership in a large, active digital health research group. He is involved in a multidisciplinary research lab focused on digital health innovation, mHealth systems, and AI-driven clinical decision support. The team works on real-time monitoring, data privacy, and user-centered design of health technologies, with applications in chronic disease management and public health surveillance.

Dario Rodriguesمشاهده پروفایل

دانشیار

• Radiofrequency/microwave hyperthermia
• Hyperthermia treatment planning
• Microwave radiometry
• +۴ مورد دیگر

Dr. Dario Rodrigues is an Associate Professor in the Department of Radiation Oncology at the University of Maryland School of Medicine. He specializes in thermal oncology physics, developing hyperthermia technologies to enhance cancer treatments. As Director of the Hyperthermia Therapy Practice School, he oversees clinical hyperthermia applications for pelvic, abdominal, and brain tumors. His education includes a PhD in Biomedical Engineering from NOVA University Lisbon, followed by research at Duke University and postdoctoral training at Thomas Jefferson University. Dr. Rodrigues' research integrates theoretical modeling, engineering, and clinical evaluation to advance hyperthermia therapies. Key focus areas include radiofrequency/microwave applicators, non-invasive temperature monitoring, and immune response modulation via thermal stress. His work emphasizes optimizing blood perfusion dynamics and immune activation during hyperthermia treatments. Publications reflect sustained innovation in hyperthermia technology, with recent emphasis on brain tumor therapies, computational modeling standards, and combined modality treatments (e.g., hyperthermia with brachytherapy). Dominant themes include thermal dose delivery, non-invasive sensing, and translational applications. Scientific Honors: Councilor of Engineering/Physics, Society for Thermal Medicine Technical Committee, European Society of Hyperthermic Oncology Chair, Thermal Medicine Standards Committee, American Society of Mechanical Engineers Dr. Rodrigues leads the Hyperthermia Therapy Practice School, fostering clinical training and technological innovation in thermal oncology.

Nicholas H. Osborneمشاهده پروفایل

دانشیار

• Vascular Surgery
• Peripheral Arterial Disease (PAD)
• Surgical Quality Improvement
• +۴ مورد دیگر

Nicholas H. Osborne is an Associate Professor at the University of Michigan Medical School, Department of Surgery, with a focus on vascular surgery. His research addresses surgical quality improvement, healthcare disparities, and endovascular intervention effectiveness for peripheral vascular disease. Affiliated with the Vascular Surgery Section Member of the Institute for Healthcare Policy and Innovation Center Member at the Samuel and Jean Frankel Cardiovascular Center Osborne's work examines rural healthcare disparities in vascular care, provider decision-making influences, and novel quality measures for vascular surgery. Recent studies analyze WIfI scoring systems, postoperative anticoagulation protocols, and AAA repair mortality prediction models. Current research trends emphasize: Geographic access to vascular interventions Implementation of clinical practice guidelines Healthcare technology dissemination effects Collaborative care models for peripheral vascular disease As a mentor and researcher, Osborne contributes to surgical education innovation and policy development through publications in leading vascular journals.

Robabeh Rahimi Darabadمشاهده پروفایل

دانشیار

• Proton Therapy
• Quantum Computing in Radiation Oncology
• Workflow Optimization
• +۳ مورد دیگر

Dr. Robabeh Rahimi Darabad is an Associate Professor in the Department of Radiation Oncology at the University of Maryland School of Medicine. She serves as a proton medical physicist with clinical expertise in proton therapy commissioning and optimization of clinical workflows. Her research bridges medical physics and quantum computing, focusing on enhancing radiation oncology standards. Education: Ph.D. in Quantum Information Devices - Osaka University, Japan Medical Physics Certificate - University of Chicago Graham School Medical Physics Residency - University of Miami Mini-MBA Certificate in Healthcare - University of Arizona Research Focus: Dr. Rahimi develops clinical standards through the Good Clinical Proton Practice (GCPP) initiative to optimize proton therapy safety and efficiency. She pioneers quantum computing applications in radiation oncology, exploring computational solutions for complex treatment planning challenges. Her work encompasses proton therapy quality assurance, brachytherapy techniques, and quantum algorithm development. Honors & Awards: Japan Society for the Promotion of Science Postdoctoral Fellowship Best Top-Accessed Paper Award (International Journal of Quantum Information, 2005) Professional Leadership: Dr. Rahimi chairs the Capital Region Chapter of the Alumni Association of the Japan Society for Promotion of Science, fostering international academic collaboration.

• Reproductive Toxicology
• Endocrine Disruptors
• Environmental Health
• +۳ مورد دیگر

Jodi A Flaws is a Professor in the Department of Comparative Biosciences at the University of Illinois. She holds concurrent professorships in Animal Sciences, Nutritional Sciences, and the Lemann Center for Brazilian Studies, alongside affiliations with the Carl R. Woese Institute for Genomic Biology and the Beckman Institute for Advanced Science and Technology. Her research focuses on environmental endocrine disruptors, particularly phthalates, and their impacts on reproductive aging, ovarian function, and developmental toxicity. Dr. Flaws has received prestigious awards including the RDTSS Lifetime Achievement Award (2023) and the SOT Women in Toxicology Mentoring Award (2017). Her work integrates toxicology, reproductive biology, and environmental health, with a focus on mechanisms linking chemical exposure to reproductive dysfunction. Key collaborations include studies on phthalate effects in follicular fluid, granulosa cells, and neonatal developmental outcomes. She leads interdisciplinary teams addressing environmental contaminants in marginalized communities and has contributed to policy-relevant risk assessments for endocrine disruptors. Awards include recognition for both research excellence and mentorship, reflecting her dual commitment to scientific innovation and trainee development. Her lab investigates translational topics such as nanoparticle toxicity, pesticide effects on reproduction, and the intersection of environmental exposures with menopausal health.

David Schneiderمشاهده پروفایل

استادیار

• Surgical Decision-Making
• Biomedical Informatics
• Machine Learning in Healthcare
• +۳ مورد دیگر

Dr. David Schneider is an Assistant Professor in the Department of Surgery (Endocrine Division) at the University of Wisconsin School of Medicine and Public Health. His research focuses on improving clinical decision-making through informatics tools, including machine learning and natural language processing applied to surgical outcomes and endocrine care. He leads the Dr. Schneider’s Lab , which collaborates with the Wisconsin Surgical Outcomes Program to optimize surgical care for endocrine conditions like hyperparathyroidism and thyroid cancer. Education: MD, MS (degree details not explicitly stated in provided texts, but inferred from lab staff listing). His work emphasizes data-driven approaches to address challenges such as delayed diagnosis of hyperparathyroidism, post-thyroidectomy hormone management, and disparities in healthcare access. Research interests include: Machine learning for predictive analytics in surgery NLP applications for clinical data extraction Quality improvement in endocrine surgery Healthcare equity analysis Grants and Awards: AAES Paul LoGerfo Award (2018–2019) ICTR Novel Methods Pilot Award (2019–2021) Labs/Teams: Principal Investigator of the Schneider Lab, which develops tools like the Thyroid Hormone Dosing App to aid clinical decisions. Collaborates with multidisciplinary teams on surgical quality improvement initiatives.

Lynn Mahonyمشاهده پروفایل

استاد

• Pediatric Cardiology
• Congenital Heart Disease
• Fontan Procedure Outcomes
• +۲ مورد دیگر

Dr. Lynn Mahony is Professor of Pediatrics at UT Southwestern Medical Center, where she chairs the NHLBI-funded Pediatric Heart Network. Her clinical expertise spans pediatric cardiology with research focus on congenital heart disease outcomes and clinical trials. Key research areas include: Long-term outcomes of Fontan procedure Neurodevelopmental sequelae of congenital heart disease Marfan syndrome therapeutics Quality of life assessment methodologies Perioperative management protocols She leads multicenter clinical trials investigating pharmacological interventions for Marfan syndrome and single ventricle physiology. Recent publications emphasize functional outcomes, quality of life metrics, and neurodevelopmental trajectories in pediatric cardiac populations. Dr. Mahony mentors early-career investigators through the Pediatric Heart Network and contributes to guideline development for congenital heart disease management.

• Requirements Engineering
• Software Engineering
• Cybersecurity
• +۳ مورد دیگر

Prof. Dr. Samuel Fricker is a Lecturer in Requirements Engineering at the FHNW Institute of Interactive Technologies, part of the School of Computer Science at FHNW University of Applied Sciences and Arts Northwestern Switzerland. He leads the Horizon Europe project IMPORTANT and provides advisory services for doctoral studies. His work bridges academia and industry, focusing on software engineering, cybersecurity, and agile methodologies. Samuel’s research interests span Requirements Engineering, Cybersecurity for SMEs, Agile Practices, and Software Product Management. He actively contributes to workshops like REFrame and publishes in leading conferences such as IEEE Requirements Engineering. His recent publications emphasize healthcare systems integration, cybersecurity solutions for SMEs, and educational frameworks in Requirements Engineering. He has collaborated on projects addressing clinical trial recruitment and digital health innovation. Samuel’s professional activities include leading the FHNW Institute’s advisory roles and contributing to international standards through organizations like the International Software Product Management Association.

Robert Rossمشاهده پروفایل

استاد

• Exercise Physiology
• Cardiometabolic Health
• Obesity Management
• +۳ مورد دیگر

Robert Ross, PhD, is a Professor in the Department of Kinesiology and Health Studies at Queen's University, cross-appointed to the School of Medicine and Department of Endocrinology and Metabolism. His research focuses on lifestyle interventions for obesity and cardiometabolic diseases, with a particular emphasis on exercise physiology and clinical outcomes. Ross holds a PhD from the University of Montreal and has authored over 200 peer-reviewed publications. His educational background includes: PhD in Exercise Physiology (University of Montreal) MSc in Exercise Physiology (University of Montreal) BEd in Physical Education (McGill University) Research priorities include randomized controlled trials evaluating exercise-based interventions for abdominal obesity, metabolic syndrome, and cardiovascular risk reduction. His laboratory operates within a 5000 sq ft facility equipped with MRI/CT imaging workstations, metabolic testing suites, and aerobic exercise equipment. Current funding includes a grant from the Canadian Institutes of Health Research (CIHR). Key research themes involve: Obesity pathophysiology and treatment Cardiometabolic risk biomarkers Physical activity guidelines development Exercise response variability Non-invasive body composition analysis Laboratory facilities include dedicated clinical spaces for hyperinsulinemic-euglycemic clamps, glucose tolerance testing, and DEXA scanning. Ross collaborates with Kingston General Hospital for advanced imaging access. His work emphasizes translating evidence-based interventions into clinical practice and public health policy.

Kenneth Getzمشاهده پروفایل

استاد پژوهشی

• Drug Development Efficiency
• Clinical Trial Design
• Patient Recruitment and Retention
• +۵ مورد دیگر

Kenneth Getz is a Research Professor in the Department of Public Health and Community Medicine at Tufts University School of Medicine, based at 75 Kneeland Street in Boston, MA. He holds an MBA from Northwestern University (1991) and a BA from Brandeis University (1984). With over two decades of pioneering research, he is internationally recognized for quantifying trends in drug development efficiency, clinical trial performance, and global investigative site operations. His research examines: Phase I-IV protocol design strategies impacting development economics Clinical research operations including patient recruitment, data management, and outsourcing models Global contract research organization markets and site management practices Regulatory reforms and multi-stakeholder collaboration frameworks His 193+ publications predominantly focus on clinical trial optimization, with recent trends showing concentrated work in risk-based quality management, protocol amendment impact assessments, decentralized trial methodologies, and diversity/inclusion strategies. Analysis reveals recurring themes of operational efficiency metrics, regulatory compliance frameworks, and economic value quantification across therapeutic areas. He has secured 63 research grants from organizations including the National Institutes of Health, Drug Information Association, and various pharmaceutical sponsors. Funded projects address clinical trial efficiency, protocol data relevance, patient engagement capabilities, and decentralized trial valuation. No information about research labs, student advising, or scientific awards was found in the provided materials.