جست‌وجوی استاد و پژوهشگر

• Trauma Surgery
• Critical Care
• Rib Fractures Management
• +۵ مورد دیگر

Dr. David J. Milia is a Professor in the Department of Surgery, Division of Trauma and Critical Care at the Medical College of Wisconsin. He is also a member of the Comprehensive Injury Center, reflecting his commitment to injury prevention and treatment research. Dr. Milia's research spans multiple critical areas in trauma care: Trauma system quality improvement and protocol development Management of chest trauma including rib fractures and pneumothoraces Thromboprophylaxis in trauma patients, particularly those with traumatic brain injury Violence prevention and care for firearm injury survivors Trauma triage and prehospital care Follow-up care and disparities in trauma outcomes His publication record demonstrates a strong commitment to advancing trauma care through rigorous clinical research. Dr. Milia has been involved in several multi-center studies including the Consortium of Leaders in Traumatic Thromboembolism (CLOTT) and the Pragmatic, Randomized Optimal Platelet and Plasma Ratios (PROPPR) trial, with numerous high-impact publications in journals such as the Journal of Trauma and Acute Care Surgery and JAMA Surgery. His work on the '35-mm rule' for pneumothorax management has established an evidence-based guideline widely adopted in trauma centers. Dr. Milia has received recognition for his contributions to trauma surgery as evidenced by his extensive publication record and frequent citations. His research bridges clinical care and systems improvement to enhance outcomes for trauma patients, with practical applications for improving trauma systems, reducing complications, and addressing disparities in trauma care.

• Applied Analytics
• Text Analysis
• Statistical Learning
• +۴ مورد دیگر

Thomas Tiahrt is an Associate Professor in the Department of Decision Sciences at the Beacom School of Business, The University of South Dakota. A Vermillion native, he earned all degrees from USD following a 20+ year software development career where he secured five patents cited by Google, IBM, and academic institutions. His industry experience directly shapes his applied academic work in analytics and statistics. Dr. Tiahrt's educational credentials include: Ph.D. in Computational Science and Statistics (2011) M.A. in Computer Science (1991) B.B.A. in Accounting (1982) His research centers on applied analytics with dual emphases: extracting meaning from text for healthcare applications (e.g., patient no-show prediction) and scholarship of learning innovations. This manifests in interdisciplinary work bridging business, healthcare, and computer science, particularly through statistical learning frameworks and curriculum transformation projects. Recent publications (2019-2025) reveal strong healthcare analytics trends, including patient risk modeling and clinical pain assessment, alongside educational contributions in flipped classroom methodologies. His work consistently applies data-driven approaches to solve operational challenges in medical and academic settings. Key recognitions include: Best Reviewer Award, International Journal of Information and Operations Management Education (2023) Professor of Business Analytics designation from POET (2017) Dr. Tiahrt maintains active research through industry collaborations like his Meta Corporation project (2020-2021) on statistical learning techniques. His advising approach emphasizes practical skill development, reflected in student co-authorship on publications and presentations at conferences including the Mountain Plains Business Conference and Decision Sciences Institute meetings. His teaching portfolio spans Statistics, Calculus, and Analytics courses with focus on real-world application.

Zhong Lingمشاهده پروفایل

استادیار

• Labor Economics
• Economics of Education
• Personnel Economics

Dr. Zhong Ling is an Assistant Professor of Economics at Cheung Kong Graduate School of Business (CKGSB). She holds a Ph.D. in Economics from Yale University and a B.A. in Mathematics and Economics from Swarthmore College (graduated with High Honors). Her primary affiliations include research roles at CKGSB where she focuses on labor dynamics, education economics, and workforce analysis. Her research interests center on three interconnected domains: Labor Economics : Examining wage structures, skill demands, and gender disparities in employment Economics of Education : Investigating returns on educational investment and policy impacts Personnel Economics : Analyzing employer-employee relationships and workplace organization Recent publications demonstrate a strong focus on pandemic-related economic impacts, including labor market transformations during COVID-19, epidemiological modeling for public policy, and resource allocation strategies during health crises. Her work frequently employs advanced statistical modeling and interdisciplinary approaches. Awards & Fellowships: University Dissertation Fellowship, Yale University (2018-2019) Carl Arvid Anderson Prize Fellowship (2017) Phi Beta Kappa induction (2013) Multiple Yale scholarships including Fan Family Fellowship and Daniel Lathrop Lawton Scholarship Media engagements include expert commentary for CGTN on China's birth rate policies and workforce involution trends, showcasing her public policy relevance.

• Data Mining
• Bioinformatics
• Neural Networks
• +۵ مورد دیگر

Dr. Ray R. Hashemi is a Professor in the Department of Computer Science within Georgia Southern University's College of Engineering and Computing. His academic career spans over 14 years of continuous research output from 2003-2017, with significant contributions as co-editor for four International Conferences on Information Technology and Knowledge Engineering (2005, 2010, 2014, 2017). His research focuses on innovative applications of data mining across diverse domains: Bioinformatics: DNA sequence analysis, organ toxicity prediction, and liver cancer predictive systems Medical Informatics: Bone mineral density analysis using DEXA data and dendrograms Financial Systems: Extraction of essential constituents from S&P500 index Environmental Science: Climate prediction using algae sedimentation patterns Computer Vision: Video mining for theatrical analysis and Android-based OCR for non-flat documents Methodologically, Dr. Hashemi specializes in neighborhood systems analysis, association rule mining, and grid-based approaches for sparse data. His work consistently bridges theoretical data mining concepts with practical applications, developing tools for signature-based prediction, record layout discovery, and intent analysis through web behavior. Recent publications (2015-2017) show increased focus on domain-specific applications in finance and toxicology while maintaining core data mining expertise. His collaborative work includes partnerships with international researchers across multiple continents, demonstrated through conference editorial roles and co-authored publications. Dr. Hashemi's research demonstrates sustained scholarly activity with practical implementations in medical diagnostics, financial analysis, and environmental prediction systems.

• Technological services
• Service innovation
• Digital humanities
• +۴ مورد دیگر

Professor Cai Ruihuang is a distinguished faculty member in the Department of Information Management at National Chengchi University's College of Business. With over 30 years of academic service, he currently serves as Director of the Computer Center and has held various administrative positions including Deputy Director of Research and Development and Director of the Innovation Incubation Center. His extensive academic career spans teaching and research in information systems, neural networks, and digital innovation. PhD in Industrial Engineering and Operations Research, University of California, Berkeley MS in Industrial Engineering, University of California, Berkeley BS in Nuclear Engineering, National Tsing Hua University Professor Cai's research focuses on technological services, service innovation, digital humanities, neural network systems, and enterprise process analysis. His work bridges traditional business domains with cutting-edge technology applications, particularly in cultural institutions like the National Palace Museum. His research demonstrates a consistent trajectory from foundational neural network theory to practical applications in financial analytics, museum technology, and digital transformation. His extensive publication record shows a progression from theoretical neural network research in the 1990s to applied AI and digital innovation studies in recent years. Notably, he has pioneered applications of AI in cultural heritage institutions and developed innovative approaches to financial fraud detection using neural networks. His work spans computer science, business management, and digital humanities, reflecting an interdisciplinary approach to information systems research. 資深優良教師(30年) - Senior Excellent Teacher Award 特聘教授 - Distinguished Professor 國科會獎勵特殊優秀人才 - MOST Special Outstanding Talent Award 學術研究成果國際化優等研究獎 - International Academic Research Excellence Award 教學特優教師 - Outstanding Teaching Award Professor Cai has successfully led numerous research projects totaling millions in funding from both government agencies like MOST and private sector partners including CTBC Financial Holding and National Palace Museum. His current research focuses on AI applications in finance, digital transformation of cultural institutions, and cybersecurity education initiatives. He leads the Financial AI Cloud Ecosystem research project and serves as principal investigator for multiple cybersecurity training programs funded by Taiwan's Ministry of Education. His work connects academic research with practical applications through the Financial AI Cloud Research Center and various industry collaboration initiatives. Professor Cai's research group actively engages with cultural institutions, financial organizations, and technology companies to develop innovative solutions for real-world challenges in digital transformation.

• Psychiatry
• Telepsychiatry
• Psychotherapy Assessment
• +۳ مورد دیگر

Radoslav Aleksandrov Borisov serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His research focuses on optimizing mental health service delivery through innovative assessment methods and digital interventions, with strong clinical ties to the Region of Southern Denmark. His primary research domains include: Psychiatry and mental health service innovation Telepsychiatry implementation and video consultation efficacy Collaborative assessment methodologies for psychotherapy readiness Anxiety disorder treatment (particularly social phobia) Patient-clinician interaction dynamics Digital health accessibility in outpatient care Current research demonstrates a clear trajectory toward integrating digital tools with evidence-based psychotherapy assessment, particularly through randomized controlled trials examining modified collaborative approaches. His recent publications reveal strong emphasis on patient-centered service design and practical implementation of telehealth solutions in real-world psychiatric settings. Professional activities are conducted through dual affiliations with the University of Copenhagen's clinical infrastructure and the Region of Southern Denmark's healthcare system, as evidenced by his institutional email address and Copenhagen campus location.

Simone Scalabrinoمشاهده پروفایل

استادیار

• Software Quality
• Software Testing
• Software Security
• +۲ مورد دیگر

Simone Scalabrino is an Assistant Professor at the University of Molise, Italy, where he is part of the STAKE lab. He also serves as CSO at Datasound. His academic career includes teaching courses such as Automated Software Delivery and Object-Oriented Programming at the University of Molise. Dr. Scalabrino received his Ph.D. from the University of Molise in 2019 with a thesis entitled "Automatically Assessing and Improving Code Readability and Understandability," supervised by Prof. Rocco Oliveto. He earned his Master's Degree in Computer Science from the University of Salerno in 2015 and his Bachelor's Degree in Computer Science from the University of Molise in 2013. His research interests focus on Software Quality, Software Testing, Software Security, and Empirical Software Engineering . Dr. Scalabrino's work spans multiple areas including code readability assessment, software testing methodologies, Docker container analysis, game quality assessment, and voice user interface testing. His research often combines empirical methods with machine learning techniques to address practical software engineering challenges. Analysis of his recent publications reveals a strong focus on improving software quality through various approaches. His work spans code readability assessment, Docker container analysis, game quality testing, and voice user interface evaluation. There's a clear trend toward applying machine learning techniques to traditional software engineering problems, particularly in the areas of code understanding, defect prediction, and quality assessment. His research often involves large-scale empirical studies with real-world data from open source projects and commercial applications. Scientific Awards Distinguished Reviewer Award @ FSE 2025 Distinguished Reviewer for TSE (2023) Best Reviewer Award for JSS (2022) ACM Distinguished Paper Award @ MSR 2019 ACM Distinguished Paper Award @ ASE 2017 ACM Distinguished Paper Award @ ICPC 2016 Dr. Scalabrino has been actively involved in mentoring students through research projects, though specific student names are not listed in the provided information. He has served on program committees for numerous prestigious conferences including ASE, ICSE, ICPC, and FSE. His service extends to reviewing for top-tier journals such as Transactions on Software Engineering and Empirical Software Engineering. He leads or contributes to several research projects including DevProDev, which focuses on developer-centered recommendation systems, and ATTICUS, a tele-monitoring system for ambient-assisted living. Dr. Scalabrino has also developed multiple research tools such as Code Readability Predictor, TIRESIAS, OCELOT, CLAP, and ACRyL to address various software engineering challenges.

• Patient and Family Participation
• Clinical Nursing Care
• Evidence-Based Wound Care
• +۴ مورد دیگر

Anne Eskes is Professor by special appointment of Patient and Family Participation in Clinical Care at Amsterdam University of Applied Sciences (AUAS) and associate professor within the Department of Surgery at Amsterdam UMC. Her research operates through a collaboration between AUAS, Amsterdam UMC, and OLVG, with additional affiliation as adjunct senior research fellow at Griffith University in Australia since 2018. Dr. Eskes earned her PhD in 2012 with background in nursing and clinical epidemiology. She has held her AUAS professorship since 2022, worked at Amsterdam UMC since 2017, and was appointed principal nurse educator at Amsterdam UMC in 2019 for her exceptional talent in educational innovation. As principal investigator at Cancer Center Amsterdam, she serves on the research board guiding cancer care research. Her research focuses on two interconnected domains: patient and family participation in clinical nursing care, and evidence-based wound care. In the first area, Dr. Eskes investigates how nurses can facilitate family-centered care as essential partners for quality and safety in healthcare. Her work addresses the growing healthcare demands from aging populations, recognizing that by 2040, one in four people may need to be involved in care delivery. In wound care, she examines preoperative and postoperative surgical interventions, recognizing how non-healing wounds impact patients' quality of life and social participation. Recent publications demonstrate her focus on practical applications of patient-family engagement across multiple healthcare contexts. Her work examines outcomes of family involvement programs, the impact of education on nurses' competencies, and innovative approaches like mobile applications for patient self-management in chronic conditions like stoma care. These studies span surgery, oncology, and chronic wound management, highlighting the cross-cutting nature of patient-family participation. Research grants from ZonMw Research grants from KWF Innovation grants from Amsterdam UMC Interviewed by Wall Street Journal (2023) Multiple Dutch media appearances discussing family involvement in healthcare Dr. Eskes serves as principal investigator at Cancer Center Amsterdam and contributes to academic discourse through editorial work, including peer review for BSL Publisher. Her research fingerprint shows strong activity in systematic reviews, wound care, family involvement, meta-analysis, surgical wound care, and family-centered care. She has published over 70 international peer-reviewed articles and approximately 50 national publications in professional nursing journals, establishing her as a leading voice in patient-centered care models that optimize the role of patients and families in healthcare delivery.

Sean Orensteinمشاهده پروفایل

دانشیار

• Hernia repair
• Abdominal Wall Reconstruction
• Minimally Invasive Surgery
• +۶ مورد دیگر

Sean Orenstein is an Associate Professor of Surgery at Oregon Health & Science University (OHSU), where he joined the Division of Gastrointestinal and General Surgery in 2014. He serves as director of OHSU's Hernia and Abdominal Wall Center, specializing in hernia repair and abdominal wall reconstruction during tumor surgery. Dr. Orenstein's educational background includes: B.A. (1999) from University of Colorado M.M.S. (2002) from MCP Hahnemann University M.D. (2006) from Albany Medical College General Surgery Residency (2006-2013) at University of Connecticut School of Medicine Advanced GI and Minimally Invasive Surgery Fellowship (2013-2014) at University Hospitals Case Medical Center Certified by the American Board of Surgery (2015) His research focuses on improving hernia surgery outcomes, evaluating prosthetic mesh for hernia repair, and advancing minimally invasive techniques. Dr. Orenstein has developed expertise in abdominal wall reconstruction for large and complex hernias, minimally invasive surgery, robotic surgery, and inguinal hernia repair. His recent work demonstrates a strong emphasis on telemedicine applications in hernia care, patient-centered outcomes, and innovative surgical techniques for complex abdominal wall reconstruction. Dr. Orenstein maintains active membership in several professional organizations including the American College of Surgeons (ACS), Americas Hernia Society (AHS), Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), and Association for Academic Surgery (AAS). His clinical work encompasses hernia repair, abdominal wall reconstruction, minimally invasive surgery, robotic-assisted surgery, gastrointestinal surgery, and general surgery. Dr. Orenstein particularly focuses on complex cases including parastomal hernias and abdominal wall reconstruction following tumor removal.

Ruchi Thanawalaمشاهده پروفایل

استادیار

• Thoracic Surgery
• Lung Cancer
• Surgical Education Research
• +۳ مورد دیگر

Ruchi Thanawala, MD, MS, is a thoracic surgeon at Oregon Health & Science University (OHSU) specializing in chest surgery with particular expertise in lung cancer, lung nodules, and thymus cancer. She practices at the OHSU Knight Cardiovascular Institute Cardiothoracic Surgery Clinic and the OHSU Thoracic Surgery Clinic, where she provides patient care while advancing surgical education research. Her educational background includes a B.A. from Duke University (2003), M.D. from Ross University School of Medicine (2008), and M.S. from Feinberg School of Medicine, Northwestern University (2014). Her training encompasses General Surgery Residency at University of Massachusetts (2012-2018), Research Fellowship at University of Massachusetts (2010-2012), Surgical Education Research Fellowship through the Association of Surgical Education (2016-2018), and Cardiothoracic Surgery Fellowship at University of Iowa Hospitals and Clinics (2018-2020). Dr. Thanawala's research focuses on surgical education innovation, particularly in clinical informatics and assessment methodologies. Her extensive publication record demonstrates expertise in Entrustable Professional Activity (EPA) assessments, Electronic Health Record (EHR) integration for surgical education, and thoracic surgical techniques. Recent work extends into telehealth applications for thoracic surgical oncology and AI implementation in surgical training. Her scholarly output shows a clear trajectory from foundational surgical research to innovative educational technologies, with increasing emphasis on data-driven assessment systems and informatics applications in surgical practice. This evolution reflects broader trends in medical education toward competency-based assessment and technology-enhanced learning. Professional recognition includes multiple ABSITE High Score Awards (2015-2017). She maintains certification through the American Board of Surgery (2019) and holds specialized certifications in laparoscopic and endoscopic surgery. Dr. Thanawala is actively engaged with professional organizations including the Association of Surgical Education, Association of Program Directors in Surgery, American Medical Informatics Association, and American College of Surgery. Her work bridges clinical practice with educational innovation, particularly in developing systems to improve surgical training assessment and documentation.

• Cardiothoracic Surgery
• Thoracic Surgery
• Pleural Infections
• +۳ مورد دیگر

Merete Christensen serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen, specializing in Cardiothoracic Surgery with institutional ties to the Capital Region of Denmark (Region Hovedstaden) as evidenced by her professional email domain. Her research concentrates on advanced pleural infection management, specifically evaluating comparative outcomes between minimally invasive video-assisted thoracoscopic surgery (VATS) and conventional thoracotomy procedures for stage II-III infections. This work bridges clinical practice and evidence-based surgical methodology within thoracic disease treatment. Current scholarly activity demonstrates a focus on systematic literature reviews to establish optimal surgical protocols for complex pleural conditions, emphasizing patient-centered outcomes through rigorous analysis of existing clinical data. No scientific awards were documented in the provided materials. Details regarding academic advising responsibilities, graduate student mentorship, or externally funded research grants remain unspecified in the available information. Dr. Christensen operates within the Cardiothoracic Surgery division of the Department of Clinical Medicine, contributing to both clinical service delivery and academic research initiatives in surgical medicine.