جست‌وجوی استاد و پژوهشگر

Natalie J Tedfordمشاهده پروفایل

استادیار بالینی

• Social Emergency Medicine
• Health Equity
• Health Disparities
• +۴ مورد دیگر

Natalie J Tedford, MD, MSPH, is a Clinical Assistant Professor (CHS) at the University of Wisconsin–Madison's School of Medicine and Public Health, jointly appointed in the Department of Emergency Medicine and Pediatrics. She leads the pediatric emergency team at American Family Children's Hospital, specializing in trauma, infections, and acute illness management for children and adolescents. Education: Undergraduate : Texas A&M University Graduate : MSc in Public Health (Health Promotion), London School of Hygiene & Tropical Medicine Medical School : McGovern Medical School at UTHealth Residency : Pediatrics, University of Wisconsin Hospitals and Clinics (Pediatric Global Health Track) Fellowship : Pediatric Emergency Medicine/Global Health, University of Utah/Primary Children’s Hospital Research Focus: Dr. Tedford investigates social emergency medicine, health equity, and community-based interventions. Her work emphasizes reducing disparities through screening for unmet social needs (e.g., housing, food insecurity) in emergency settings. She also explores global health, simulation training, and prehospital care integration. Publication Trends: Her recent articles (2022–2025) cluster around social care in pediatric emergency contexts, including toolkits for resource referral, racial/ethnic disparities in care, and community partnerships. Secondary themes include febrile infant management and toxicology case studies. Grants & Leadership: She collaborates on an NIH grant examining how community services impact health outcomes and barriers to care. As Director for Medical Student Research, she mentors emerging scholars. Clinical & Team Leadership: Dr. Tedford oversees clinical operations at American Family Children's Hospital's Pediatric Emergency Department, emphasizing family-centered care and innovative solutions for complex cases.

Aminu K Belloمشاهده پروفایل

استاد

• Global Kidney Health
• Chronic Kidney Disease (CKD) Prevention
• Indigenous Health
• +۵ مورد دیگر

Aminu K Bello is a Professor of Medicine and Consultant Nephrologist at the University of Alberta, Faculty of Medicine and Dentistry. His work focuses on global kidney health, health disparities, and chronic kidney disease (CKD) prevention in Indigenous, rural, and low-income populations. He leads the Kidney Check program through Can-SOLVE CKD and chairs the International Society of Nephrology's Global Kidney Health Atlas (ISN-GKHA), addressing inequities in kidney care infrastructure worldwide. MD, Usmanu Danfodio University, Nigeria MRCP, UK MSc & PhD in Nephrology/Epidemiology, University of Sheffield, UK Postdoctoral Fellowship, University of Alberta Research interests center on CKD care delivery models, policy development, and quality improvement in primary care settings. His work includes multinational studies on dialysis access, health systems capacity, and social determinants of kidney outcomes. Recent research spans 2025 meta-analyses on pediatric CKD epidemiology, cognitive screening tools in kidney failure, and virtual consultation models. Earlier work (2024) highlights geographic disparities in Alberta, global transplantation policies, and health workforce challenges. Inducted into the Canadian Academy of Health Sciences Over 250 peer-reviewed publications (84,000+ citations, H-index 65) Leadership roles: ISN-GKHA, Alberta Kidney Disease Network He collaborates with Indigenous communities to co-design culturally relevant kidney health protocols and advocates for equitable access to medications, technologies, and workforce development in low-resource settings. His work bridges clinical practice, policy advocacy, and global health systems analysis.

• Computational Biophysics
• Machine Learning
• Molecular Dynamics

Dr. Matteo Degiacomi is a Visiting Associate Professor in the Department of Physics at Durham University. His research focuses on integrative computational methods combining machine learning and molecular dynamics simulations to model biomolecular systems at near-atomistic resolution. Education: MSc in Computer Science (2008), PhD in computational biophysics (2012) from EPFL. His work leverages ion mobility , cross-linking , SAXS , and electron microscopy data to study protein assembly mechanisms. Recent publications highlight applications in virology , nanomaterials , and membrane protein dynamics . He develops open-source tools like ClayCode and JabberDock . Scientific awards include a Swiss National Science Foundation Early Postdoc Mobility Fellowship (2013-2017) and an EPSRC Junior Research Fellowship (2017-2020). He supervises postgraduate researchers Ajeeth Kanagarajan , Breanna Voss , and Listra Ginting .

• Health Data Science
• Artificial Intelligence in Healthcare
• Cancer Epidemiology
• +۵ مورد دیگر

Professor Lesley Anderson holds a Personal Chair in Health Data Science at the University of Aberdeen where she serves as Interdisciplinary Institute Director for Health, Nutrition & Wellbeing. She maintains a part-time role as Deputy Director of the Northern Ireland Cancer Registry. Her academic credentials include a PhD in Public Health (Queen's University Belfast, 2004), MPHe from University of Manchester (2006), BSc (Hons) in Biomedical Science (QUB, 2001), and PGCHET (QUB, 2009). Her research spans artificial intelligence evaluation in healthcare, cancer epidemiology, health data science, and global health initiatives. She established international collaborations across 5 continents and led the £25M Industrial Centre for AI in Digital Diagnostics (iCAIRD). Current work focuses on AI validation for medical imaging, myeloproliferative neoplasms etiology, and cancer detection in low-resource settings. Publications demonstrate strong emphasis on: 1) AI/ML clinical translation (orthopedics, oncology), 2) Cancer biomarker discovery (liquid biopsy, HPV), 3) Population health analytics (cancer epidemiology, risk factors), and 4) Healthcare pathway optimization. Recent works show increased focus on AI implementation frameworks and multimodal data integration. Major Awards: Data Driven Innovation Awards (2024-2025) Multiparty Collaboration Award (2022) STAR Recognition at QUB (2019-2020) BUPA Foundation Epidemiology Award (2005) Dr J.D. Williamson Prize (2007) She currently supervises 5 PhD students in health data science/AI topics and has mentored 15+ doctoral candidates. Secured £6M+ in active grants including NIHR funding for early cancer detection technology (EDITH project) and Blood Cancer UK support for MPN genomics research. Leads the UK-wide MOSAICC study on myeloproliferative neoplasms etiology. Directs research teams within the Aberdeen Centre for Health Data Science and maintains labs focused on AI validation and cancer epidemiology. Collaborates with NHS, industry partners (Kheiron Medical), and global research consortia including BEACON and OPTIMA.

Lipeng Wanمشاهده پروفایل

استادیار

• Big Data Management
• High-Performance Computing
• Data-Intensive Computing
• +۳ مورد دیگر

Dr. Lipeng Wan is a tenure-track Assistant Professor of Computer Science at Georgia State University (GSU), located at 25 Park Place, room 733. He holds a B.Eng. in Communication Engineering from Nanjing University of Science and Technology (2008), an M.Eng. in Information and Communication Engineering from Southeast University (2011), and a Ph.D. in Computer Science from the University of Tennessee, Knoxville (2016). Prior to joining GSU, he served as a Computer Scientist at Oak Ridge National Laboratory (ORNL), first as a postdoctoral researcher (2016–2018) and later as a full-time research staff member (2018–202?). His research focuses on big data management and analytics , high-performance and data-intensive computing , and resilience and performance optimization for distributed systems . Key interests include scientific data workflows, I/O innovations for exascale systems, and error-controlled data compression frameworks like MGARD and HPDR. Dr. Wan’s recent work emphasizes adaptive data transmission (e.g., JANUS), load balancing in cloud environments (SciLance), and optimizing file access patterns on HPC systems. His publications address challenges in exascale computing, including I/O performance, geographically distributed data management, and feature-preserving compression for climate simulations. He leads research at GSU in collaboration with national labs like ORNL, focusing on advancing scalable data management techniques for high-performance computing applications.

Kudirat Ayinlaمشاهده پروفایل

مدرس

• Digital Technology in Construction
• Sustainable Construction Methods
• Artificial Intelligence & Machine Learning in AEC
• +۳ مورد دیگر

Kudirat Ayinla is a Lecturer in Construction Management and Programme Lead for the BSc (Hons) in Commercial Management and Quantity Surveying at the University of Loughborough. Her research focuses on enhancing construction industry efficiency through digital technologies like AI, BIM, and Digital Twins, with specific emphasis on offsite construction methods and sustainability. Education: BEng, MSc, PhD, PGCert Professional Affiliations: MCIOB, FHEA Key research areas include knowledge-based modeling, AI applications in construction, and circular economy integration in waste management. She leads the British Council UK grant project on Digital Manufacturing and collaborates with the Council for the Heads of the Built Environment on apprenticeship studies. Her recent articles explore TDABC models for offsite manufacturing, AI impacts on costing practices, and BREEAM perceptions in the industry. She actively supervises PhD candidates researching ontology applications and modern construction methods.

Niyousha Hosseinichimehمشاهده پروفایل

دانشیار

• Health Systems Engineering
• Public Health Policy
• System Dynamics Modeling
• +۴ مورد دیگر

Niyousha Hosseinichimeh is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech's College of Engineering. Her research focuses on improving health and healthcare systems through system dynamics modeling and simulation. She holds a Ph.D. in Public Policy from SUNY Albany (2012) and a B.S. in Mechanical Engineering from Sharif University of Technology (2001). Her work addresses complex issues like adolescent drinking/driving behaviors, major depressive disorder, and infant mortality. Methodologically, she advances calibration techniques for dynamic models and group model-building approaches. Her research has been funded by NIH, NSF, and the Ohio Department of Health. Notable contributions include modeling the hypothalamus-pituitary-adrenal axis and developing tools for rapid parameter estimation in system dynamics. She advises students such as Alba Rojas-Cordova (winner of multiple awards) and Arash Baghaei Lakeh. Her grants include projects on depression dynamics and emergency department utilization. Her work intersects systems engineering, public health, and computational methods, emphasizing practical policy and clinical applications.

Renata Medeiros de Carvalhoمشاهده پروفایل

استادیار

• Business Process Management
• Process Mining
• Declarative Business Processes
• +۳ مورد دیگر

Renata Medeiros de Carvalho is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with the Process Analytics and EAISI Health groups. She holds a PhD in Computer Science from Federal University of Pernambuco (Brazil), an MSc and BSc in Computer Engineering from University of Pernambuco, and has conducted postdoctoral research at UQAM (Canada). Her research focuses on adaptive and declarative business processes, with particular emphasis on healthcare and data privacy. Education: PhD in Computer Science, Federal University of Pernambuco (2015) MSc in Computer Engineering, University of Pernambuco BSc in Computer Engineering, University of Pernambuco Research Interests: Flexible business processes and Process Mining Declarative modeling (e.g., OCBC language) Healthcare process optimization GDPR compliance frameworks Key Projects: PATIENCE 2 : Patient-centric healthcare through nomadic sensing BPR4GDPR : GDPR compliance toolkit Awards: Xerox University Affairs Committee Grant NSERC Engage Grant Teaching & Leadership: Local coordinator for EIT Digital Data Science and Erasmus Mundus BDMA master programs Teaches courses like Advanced Process Mining and DBL Data Challenge

• Interpreting Studies
• Cognitive Load Theory
• Extended Realities in Language Technologies
• +۳ مورد دیگر

Anne Catherine Gieshoff is a Researcher at the ZHAW School of Applied Linguistics, affiliated with the Institute of Multilingual Communication. Her work focuses on cognitive aspects of interpreting, technology integration in language professions, and multilingual healthcare communication. She holds a Ph.D. from Johannes Gutenberg University Mainz (2018) and has extensive professional experience in translation and cross-border project management. Education includes a Ph.D. in Interpreting Studies (2018), M.A. in Conference Interpreting (2013-2018), and studies in multilingual communication at institutions across Europe. Her research explores cognitive load in interpreting, augmented reality applications, and ELF (English as a Lingua Franca) dynamics in professional settings. Recent publications address topics like augmented reality usability for interpreters, cognitive load measurement frameworks, and machine translation in healthcare. She leads projects such as 'Use of machine translation apps in clinical contexts' and 'Assessment of multimodal interpreting technologies'. Key Projects: DigiLinguo (language barriers in public institutions), AR interpreter usability studies, and ELF density analysis Teaching: Courses on descriptive statistics, multilingualism in professional contexts, and communication science in virtual spaces Labs/Teams: Member of TREC (Translation, Research, Empiricism and Cognition) and IATIS (International Association for Translation and Intercultural Studies)

Marinko Sarunicمشاهده پروفایل

استاد مدعو

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +۲ مورد دیگر

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

Zhen Xieمشاهده پروفایل

استادیار

• High-Performance Computing (HPC)
• Machine Learning
• Parallel Computing
• +۳ مورد دیگر

Zhen Xie is an Assistant Professor in the Department of Computer Science at Binghamton University (SUNY), serving as Director of the Parallel Computing and Intelligent System (PCIS) Lab. He holds a PhD from the Chinese Academy of Sciences and a BA from Wuhan University of Technology. His research focuses on high-performance computing (HPC), machine learning, and their intersections, particularly optimizing performance for HPC and AI/DL applications across heterogeneous architectures. Research Highlights: Dr. Xie’s work emphasizes system-level performance optimization for ML and HPC, including GPU acceleration, memory optimization, and AI accelerator selection. His team has won the ACM Gordon Bell Special Prize (2022) for their GenSLMs project predicting SARS-CoV-2 evolution. Recent grants include a 2024 gift from OpenAI for AI testbed initiatives. Awards: ACM Gordon Bell Special Prize (2022), Impact Argonne Awards (2023) Lab: PCIS Lab explores middleware for parallel computing, targeting scientific simulations and big data analytics. Collaborations include Argonne National Lab and Lawrence Berkeley National Lab. Teaching: Teaches Distributed Systems (CS 457/557) and oversees independent studies. Previously trained researchers at Argonne’s ATPESC program. Grants & Collaborations: Subcontract with Lawrence Berkeley Lab (HEVI-LOAD), Argonne testbed expeditions, and OpenAI-funded projects. Active in DOE labs like Summit and Aurora supercomputers.

James Faulconbridgeمشاهده پروفایل

استاد

• Professional service firms
• Digital transformation of professional work
• Professional misconduct
• +۵ مورد دیگر

James Faulconbridge is a Professor in the Department of Organisation, Work and Technology at Lancaster University Management School (LUMS). He currently serves as Faculty Associate Dean (Resources) for LUMS and previously led the department as Head between 2016–2020. His expertise spans professions, professional service firms, and knowledge-intensive services, with a focus on digital transformation, professional misconduct, globalization, and business mobilities. Research Interests: Digital Transformation of Professional Work : Examines AI integration, algorithmic work processes, and organizational adaptation in legal, accounting, and other service sectors. Professional Misconduct : Investigates systemic causes of wrongdoing, including ethnic disparities in legal professions and regulatory failures. Globalization of Professional Firms : Analyzes how law, advertising, and executive search firms navigate institutional complexity across borders. Business Mobilities : Studies travel practices in multinational firms, sustainability implications, and future airport dynamics. Awards & Editorial Roles : Editor of the Journal of Economic Geography , Co-Convenor of the Professions and Professionals Network (SASE), and recipient of prestigious awards including the 2012 Progress in Human Geography Best Paper Prize and 2023 Top-Cited JMS Paper. Key Projects : ESRC-funded studies on AI in accounting/law firms and professional training. DEMAND Centre research on energy-efficient office design and sustainable building practices. EU-funded exploration of future business mobilities and airport roles. Academic Engagement : Active in global networks (EGOS, SASE, Academy of Management), supervising PhDs on professions, globalization, and mobilities. Affiliated with research centers like CeMoRe (Mobilities Research) and DEMAND (Energy-Mobility Dynamics).

• Healthcare Design
• Human-Centered Design
• Ergonomics
• +۵ مورد دیگر

Dr. Armagan Albayrak is an academic researcher at the Faculty of Industrial Design Engineering, Delft University of Technology, specializing in Human-Centered Design and Ergonomics . Their work focuses on healthcare innovation, particularly in improving patient experiences, sustainable medical technologies, and extended reality (XR) applications. Albayrak leads research projects like HiPP (optimizing orthopedic patient journeys) and Virtual Patient (surgical training systems), and teaches Health courses since 2023. Their research spans medical device design, dementia care technologies, telemedicine systems, and ICU sustainability. Key projects include redesigning syringe and glove usage in ICUs to reduce environmental impact, developing AR/VR tools for medical education, and co-designing assistive technologies with patients. Albayrak collaborates with healthcare providers, engineers, and interdisciplinary teams to bridge design and clinical practice. They are a 2025 Open Education Ambassador , advocating for accessible learning resources. Publications highlight themes like pediatric hemophilia care, cross-cultural surgical training, and dementia care personalization. Their work emphasizes user-centered approaches, emphasizing how design can enhance healthcare equity, efficiency, and sustainability.

Sara Biscayaمشاهده پروفایل

مدرس ارشد

• Smart Urban Futures
• Sustainable Urban Development
• Data Visualization in Architecture
• +۷ مورد دیگر

Dr. Sara Biscaya is a Senior Lecturer in the Department of Architecture & Civil Engineering at the University of Bath, where she serves as Director of Studies for the BSc Architecture program. Her research focuses on leveraging data and spatial visualization to advance Smart Urban Futures, integrating socio-economic and physical infrastructures for resilient communities. She leads or collaborates on high-impact projects such as ESCR (£970K), TRANSCEND (£200K), and the BREATHE-Cities initiative (£60K), addressing climate adaptation, stakeholder collaboration, and sustainable urban development. Professionally, Sara is a Chartered Architect (ARB/RIBA), UK Adaptation Assessor, and member of Athena Swan Chartered Reviewers. She holds external roles including Council membership at the Architectural Association School of Architecture, RIBA Validation Board membership, and accreditation visits for the Architects Registration Board. She also serves as a Guest Professor in Lisbon's ISCTE IUL, teaching Smart Ecological Urban Corridors. Her research interests span urban-rural integration, digital tools for stakeholder engagement, and climate-resilient design. Recent work explores gender dynamics in active travel, net-zero off-site construction, and revitalizing disused waterways like the Manchester Ship Canal. She co-authored the book Manchester Ship Canal: Back to the Future for Disused European Waterways (2021) and supervises PhD students in architecture and urban design. Key grants include funding from GCRF, AHRC, and the Knowledge Transfer Partnership. Sara champions inclusivity through roles like Chair of the Women’s Voice Network and collaborates with interdisciplinary labs like the University of Bath's THINKLAb and RENEW/CAER research centres.

Yaguang Zhangمشاهده پروفایل

استادیار بالینی

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +۴ مورد دیگر

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .