جست‌وجوی استاد و پژوهشگر

• Medical Robotics
• Endoscopy
• Colonoscopy
• +۳ مورد دیگر

Nanda van der Stap serves as a Lecturer in Technical Medicine at the University of Twente, specializing in the integration of robotics and imaging technologies for minimally invasive surgical procedures. Her academic appointment focuses on advancing endoscopic techniques through engineering solutions. She completed her doctoral studies at the University of Twente, earning a PhD in Technical Medicine in 2016 with her dissertation "Image-based endoscope navigation and clinical applications" that established her research trajectory in medical robotics. Van der Stap's research program centers on medical robotics and computer-assisted endoscopy , with particular emphasis on colonoscopy automation , robotic steering mechanisms , and real-time image processing for gastrointestinal procedures. Her work bridges engineering precision with clinical requirements, developing systems that enhance procedural accuracy while reducing patient discomfort. Current investigations explore virtual reality interfaces for surgical teleoperation, incorporating thermal feedback to create more intuitive human-robot interactions during complex endoscopic maneuvers. Analysis of her publication history (2012-2022) reveals a consistent research trajectory toward autonomous endoscopic systems. Her most significant contributions include real-time tracking algorithms for flexible endoscopy platforms and feasibility studies on automated lumen centralization, demonstrating how robotics can standardize colonoscopy procedures. The 2022 work on thermal feedback in VR teleoperation represents an emerging focus on multi-sensory interfaces that could transform surgeon training and remote surgical assistance. Her scholarly impact is quantified by 77 total citations and an h-index of 5, reflecting growing recognition in medical robotics despite the specialized nature of her work. These metrics indicate meaningful contributions to niche but clinically significant areas of surgical technology. As a Lecturer, van der Stap contributes to academic instruction in Technical Medicine while maintaining active research collaborations. Her projects show consistent interdisciplinary engagement with clinical partners, suggesting grant support from both institutional and national funding bodies focused on healthcare innovation. The research output demonstrates sustained collaboration with engineering and medical teams across multiple institutions. Her work operates within the University of Twente's TechMed Centre ecosystem, an interdisciplinary research environment that connects engineers, computer scientists, and medical professionals. This collaborative framework enables the development of integrated solutions where robotic platforms, imaging systems, and clinical protocols evolve in concert to address real-world surgical challenges.

Ignacio González Crespoمشاهده پروفایل

دانشیار بالینی

• Radiology
• Colorectal Cancer
• Abdominal Imaging
• +۷ مورد دیگر

Dr. Ignacio González Crespo is a Clinical Associate Professor at the Faculty of Medicine of the University of Navarra , where he serves as a Clinical Collaborator in Radiology. His expertise lies in abdominal imaging and digital radiology management , with a focus on colorectal cancer and PACS systems . Education: Graduated in Medicine and Surgery from the University of Navarra in 1989 PhD in Medicine and Surgery from the University of Navarra in 1989 Specialist in Radiodiagnosis at Donosti Hospital, San Sebastián (1996) Doctor of Medicine from the University of Navarra (since 2016) Clinical and Research Focus: His work spans colorectal cancer imaging , adipose tissue quantification using radiological techniques , and development of PACS systems . Clinically, he specializes in general abdominal pathology (hepatic, biliopancreatic, colorectal, prostate), intraoperative ultrasound, and colorectal CT colonography (Virtual Colonoscopy). Professional Affiliations: He is a member of the Spanish Society of Medical Radiology (SERAM), European Society of Radiology (ESR), Spanish Society of Abdominal Diagnostic Imaging (SEDIA), European Society of Abdominal Radiology (ESGAR), Spanish Society of Diagnostic Ultrasonography (SEUS), and Navarra Radiology Association (ARN). Teaching Contributions: Since 1998, he has collaborated in teaching Clinical Radiology and Clinical Practice, led Abdominal Radiology seminars, and participated in continuing education courses at the University of Navarra Clinic. Contact: atpacientecun@unav.es

Pete Santagoمشاهده پروفایل

استاد

• Biomedical Informatics
• Pattern Recognition
• Machine Learning
• +۵ مورد دیگر

Dr. Pete Santago is a Professor in the Department of Computer Science at Wake Forest University. He was previously a faculty member at the Wake Forest University School of Medicine for 24 years, where he established an engineering group in Radiology and co-founded the Biomedical Engineering Department. His research spans biomedical informatics, pattern recognition, machine learning, and image/signal processing, with current interests in stochastic processes, data mining, and computer organization. Education: Ph.D. in Electrical Engineering from North Carolina State University Education: M.S. in Computer Science from Virginia Tech Dr. Santago’s research bridges biomedical engineering and computer science, with applications in medical imaging, data analysis, and educational innovation. His work emphasizes practical solutions for image processing, diagnostic tools, and hands-on STEM learning environments like the WakerSpace makerspace. His 15 most recent publications highlight expertise in medical imaging (e.g., PET, CT, MRI), algorithm development (segmentation, reconstruction), and educational initiatives. Techniques such as convex sets, MAP estimation, and geodesic active contours recur in his contributions to biomedical informatics and computer science. As Faculty Director of WakerSpace, Dr. Santago focuses on service work and student mentorship, guiding independent projects that integrate data mining and computer organization principles.

• Abdominal Radiology
• Gastrointestinal Radiology
• Virtual Colonoscopy
• +۵ مورد دیگر

Dr. Abraham Dachman is a Professor in the Department of Radiology-Abdominal Imaging at the University of Chicago, where he has established himself as a leading expert in abdominal radiology with specialization in gastrointestinal imaging. His career spans several decades, during which he has made significant contributions to the field of CT colonography (virtual colonoscopy) for colorectal cancer screening. Education and Training: MD, Medicine, Albert Einstein College of Medicine, Bronx, NY (1977) Internship, Internal Medicine, Brookdale Hospital, Brooklyn, NY (1978) Residency, Radiology, Montefiore Hospital, Bronx, NY (1981) Fellowship, Gastrointestinal Radiologic Pathology, Armed Forces Institute of Pathology, Washington, DC (1982) Dr. Dachman's primary research focus centers on the development and implementation of CT colonography for colorectal cancer screening. He has pioneered work in computer-aided detection software for virtual colonoscopy interpretation and developed educational programs for radiologists and CT technologists. His expertise extends to cancer diagnosis throughout the GI tract (stomach, small bowel, colon, pancreas) as well as swallowing disorders and esophageal motility issues. His work bridges clinical practice with technological innovation in medical imaging. Analysis of Dr. Dachman's recent publications reveals a continued focus on CT colonography standardization, with significant contributions to the CT Colonography Reporting and Data System (C-RADS). His work spans technical aspects of imaging protocols, clinical applications in cancer screening, and adaptations during the COVID-19 pandemic. There's also a notable thread of research connecting radiology with neurological conditions, particularly examining swallowing dynamics in Parkinson's disease patients with deep brain stimulation. Scientific Awards and Honors: 2022 Distinguished Service Award (Gold Medal), Illinois Radiological Society 2022 Top Doctors (one of 20 in Diagnostic Radiology), Chicago Magazine 2021 Best article award in Health Services Research & Policy (JACR) 2019 Distinguished Service Award (Gold Medal), Chicago Radiological Society 2019 Chicago's Top Cancer Doctors (one of 15 radiologists listed), Chicago Magazine 2017 Reviewer Award, Special Distinction (top 14 of 283), RadioGraphics 2016 Magna Cum Laude Exhibit Award, Society of Abdominal Radiology 2015-2022 Distinguished Reviewer, Abdominal Radiology (Journal) Dr. Dachman has played a significant role in developing standardized training for CT colonographic image interpretation, creating educational courses for radiologists and online training programs for CT technologists. His work with the National CT Colonography Trial has contributed substantially to establishing evidence-based practices in the field. While specific grant information isn't detailed in the provided text, his involvement in major multicenter trials suggests substantial research funding throughout his career. Though specific laboratory information isn't provided in the text, Dr. Dachman's work appears to involve collaboration with multidisciplinary teams including gastroenterologists, surgeons, and computer scientists, particularly in the development and testing of computer-aided detection software for virtual colonoscopy. His research has helped establish the University of Chicago as a center of excellence in abdominal imaging and CT colonography.

Sanja Dogramadziمشاهده پروفایل

استاد

• Medical Robotics
• Human-Robot Interaction
• Tactile Sensing
• +۳ مورد دیگر

Professor Sanja Dogramadzi is a faculty member at the School of Electrical and Electronic Engineering, University of Sheffield. Her research focuses on medical robotics, particularly in robot-assisted surgery, tactile sensing, and human-robot interaction for rehabilitation applications. Research Themes: Surgical robotics, wearable tactile devices, image-guided systems, and adaptive control mechanisms for minimally invasive procedures. Collaborations: Work with institutions like the Hamlyn Symposium on Medical Robotics and researchers including Caleb-Solly, Jevtić, and Torras. Publications: 15 recent works span AI-driven surgical systems, tactile motion intent recognition, and bioinspired robotic designs. Teaching: Leads robotics education in courses like ACS329 Robotics.

Alicea Liebermanمشاهده پروفایل

استادیار

• Behavior Change
• Health Behavior
• Judgment and Decision Making
• +۶ مورد دیگر

Alicea Lieberman is an Assistant Professor of Marketing and Behavioral Decision Making at the UCLA Anderson School of Management , focusing on interdisciplinary approaches to improve societal health through behavioral research. She holds a PhD in Marketing from UC San Diego, an MPH in Health Behavior from UNC-Chapel Hill, and a BA in International Relations from The George Washington University. Research Areas: Behavior change, health psychology, social influence, motivational processes Awards: AMA CBSIG Rising Star, MSI Young Scholar, Hellman Fellow Publications: 15+ peer-reviewed articles in journals like Journal of Consumer Research and Organizational Behavior and Human Decision Processes Her work explores interventions for health behaviors (exercise, cancer screening), psychological impacts of auditory technologies, and behavioral economics applications in policy. She has collaborated with institutions like UC San Diego and UNC-Chapel Hill.

Ali Keshavarz Panahiمشاهده پروفایل

دانشیار

• Ergonomics
• Muscle Fatigue Analysis
• Biomedical Engineering
• +۴ مورد دیگر

Ali Keshavarz Panahi is an Associate Professor in the College of Computing & Engineering at Nova Southeastern University (NSU), where he has served since 2018. His primary affiliation is with the Engineering department. He holds a Ph.D. in Engineering Science (Industrial and Manufacturing Engineering concentration) from Southern Illinois University. Dr. Panahi’s research focuses on ergonomic assessment, muscle fatigue analysis, and optimization in manufacturing processes, particularly in Powder Injection Molding (PIM) for medical and energy applications. His educational background includes a Ph.D. in Engineering Science from Southern Illinois University, emphasizing Industrial and Manufacturing Engineering. Prior to NSU, he spent three years as a faculty member at the Advanced Manufacturing Technology Department at Ranke Technical College. Beyond academia, he has worked as a technical trainer for Missouri-based companies. Research Interests: Human Factors & Ergonomics Muscle Fatigue Analysis via sEMG and RQA Work-Related Musculoskeletal Disorder (WMSD) Prevention Surgical Ergonomics (laparoscopic/colonoscopy) Powder Injection Molding (PIM) Process Optimization Mindfulness & EEG Signal Analysis Publications Trends: His work spans surgical ergonomics (e.g., colonoscopy strain factors), PIM applications in dental implants/SOFC parts, and fatigue analysis in industrial settings. Recent studies emphasize patient-physician ergonomic interactions and nonlinear data analysis techniques. Grants/Advising: No specific grants or student advisees listed. His training roles involve industry partnerships and surgical skill training device development. Labs/Teams: Active in NSU’s biomedical engineering and manufacturing research groups, focusing on interdisciplinary applications of ergonomics and materials science.

Justin Sewellمشاهده پروفایل

پژوهشگر

• Medical Education
• Gastroenterology
• Health Professions Education
• +۴ مورد دیگر

Justin Sewell, MD, PhD, MPH is a researcher and educator at the University of California, San Francisco (UCSF) School of Medicine, Department of Medicine. He holds advanced degrees in Medicine (University of Arizona), Public Health (MPH), and Health Professions Education (PhD from Utrecht University). His work focuses on medical education innovation, gastroenterology procedural training, cognitive load theory, and healthcare equity. Dr. Sewell has been recognized with awards including the New Investigator Award from the American Educational Research Association (2017) and membership in the Academy of Medical Educators at UCSF (2015). Education: MD (2005, University of Arizona), MPH (2001, University of Arizona), PhD (2019, Utrecht University) Certifications: Fellowship in Gastroenterology (2011, UCSF), Residency in Internal Medicine (2008, UCSF) His research explores challenges in medical education, such as cognitive load during clinical training, disparities in healthcare access, and the application of technology to enhance learning. Recent work includes studies on endoscopy teaching competencies and the impact of electronic health records on trainee development. Dr. Sewell has authored over 100 peer-reviewed articles on topics ranging from inflammatory bowel disease to anti-oppressive education strategies in medical training. His grants and collaborations include initiatives to improve gastroenterology education for underserved populations and the development of reflective learning tools for healthcare providers through eConsult platforms. He is actively involved in UCSF’s medical education programs and has contributed to national guidelines on endoscopy training and patient handover protocols.

Dave Royمشاهده پروفایل

استادیار

• Radiology
• Medical Imaging Techniques
• Virtual Colonoscopy
• +۳ مورد دیگر

Dave Roy, M.D., is an Assistant Professor of Radiology at UT Southwestern Medical Center and a member of its Community Radiology Division. He joined the faculty in 2018 after practicing radiology in private settings. His academic journey includes a medical degree from the University of Alabama at Birmingham, a radiology residency at UT Southwestern, and a fellowship in Clinical Research Training at the NIH (2004). Dr. Roy holds a master's in physiology and biophysics from Georgetown University and a bachelor's in mathematics and chemistry from the University of South Alabama. Education: Bachelor's: Mathematics and Chemistry (University of South Alabama) Master's: Physiology and Biophysics (Georgetown University) M.D.: University of Alabama at Birmingham Radiology Residency: UT Southwestern National Institutes of Health Clinical Research Fellowship Dr. Roy's research focuses on improving patient care through innovations like his patented virtual colonoscopy technique. He actively contributes to professional organizations, including the Radiological Society of North America and the American Medical Association. No specific articles are listed, but his work emphasizes clinical research and radiological advancements. His patent reflects a commitment to advancing diagnostic imaging technologies.

Vasantha Vasanمشاهده پروفایل

دانشیار

• Radiology
• Gastrointestinal Imaging
• CT Colonography
• +۳ مورد دیگر

Vasantha Vasan, M.D., is an Associate Professor of Radiology at the University of Texas Southwestern Medical Center, affiliated with its Medical School and Radiology Department. She leads initiatives in computed tomography (CT) colonoscopy, enterography, and minimal prep CT colonography protocols. Dr. Vasan's clinical expertise focuses on bowel pathology, and she actively contributes to imaging protocol development, patient education materials, and quality assurance efforts. Her educational background includes a medical degree from Mysore Medical College (India), diagnostic radiology residency at Georgetown University Hospital (serving as Chief Resident), and a body imaging fellowship at Johns Hopkins Hospital. Prior to UT Southwestern, she practiced in private radiology. Dr. Vasan chairs UT Southwestern's Virtual Colonoscopy Committee and Inflammatory Bowel Disease (IBD) Committee. She is a member of professional societies such as the Society of Abdominal Radiology, American Roentgen Ray Society, and Radiological Society of North America. Her research emphasizes gastrointestinal imaging advancements and procedural optimization.

Hua Fangمشاهده پروفایل

استاد مدعو

• Computational Statistics
• Data Science
• Biostatistics
• +۹ مورد دیگر

Hua Fang is an Adjunct Professor in the Department of Population and Quantitative Health Sciences at UMass Chan Medical School and the T.H. Chan School of Medicine. She serves as Principal Investigator of the Computational Statistics and Data Science (CSDS) lab, which focuses on developing computational methods for health and behavior studies through the integration of statistics and computer science. Her educational background includes: BA in Business English from Sichuan International Studies University, China MA in Financial Economics from Ohio University, United States PhD in Statistics from Ohio University, United States Dr. Fang's research spans multiple domains at the intersection of computational statistics, data science, and healthcare. Her work primarily focuses on developing advanced methods for analyzing longitudinal data, particularly in the context of behavioral interventions and health monitoring. She has pioneered the Multiple-imputation based Fuzzy Clustering (MIFuzzy) approach for trajectory pattern recognition in incomplete longitudinal data, which has been applied across various health domains including substance use, dietary patterns, and mental health. Her research integrates statistical theory with computational approaches to address challenges in missing data, pattern recognition, and real-time monitoring through wearable biosensors. She leads multiple NIH and NSF-funded projects exploring computational methods for health applications, with a particular emphasis on digital health interventions and precision medicine. Her recent publications demonstrate a strong trend toward digital twin technology, federated learning approaches for healthcare data, and advanced neural network architectures for medical applications. There's a clear progression from traditional statistical methods to more sophisticated AI-driven approaches, with increasing focus on privacy-preserving techniques like federated learning for multi-site clinical data analysis. Her work bridges computational statistics with practical healthcare applications, particularly in substance use detection, dietary pattern analysis, and real-time health monitoring. Dr. Fang's scientific recognition includes: Patent "System and methods for trajectory pattern recognition" (US20160358040A1), issued June 1, 2021 Best Paper Award for "Deep Learning-based adaptive beam forming for 5G mmWave Wireless body area network" at GLOBECOM2020 Abstract Citation Award from the Society of Behavioral Medicine As an advisor, Dr. Fang has mentored numerous graduate students and researchers who have gone on to positions at prestigious institutions including Harvard, Stanford, MIT, and faculty positions at universities. Her research is supported by multiple NIH grants including R01, R56, and P30 awards, as well as NSF funding for projects related to wireless body area networks and connected vehicle technology. Current major projects include iPAT (NIH/NIDDK R01), VIP (NIH/NIDDK R56), and several NSF-funded initiatives in wireless communication and machine learning. The Computational Statistics and Data Science (CSDS) lab, led by Dr. Fang, collaborates with researchers across multiple disciplines including psychiatry, behavior medicine, emergency medicine, immunology, infectious diseases, and healthcare systems. The lab works closely with the IoT and Data Engineering Lab and the UConn Center for mHealth and Social Media, creating an interdisciplinary research environment that bridges computational methods with real-world health applications. Current research focuses on developing computational tools for adaptive interventions, pragmatic clinical trials, causal inference, and risk prediction using longitudinal data from diverse health domains.

Ju Shenمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Interactive Media
• +۲ مورد دیگر

Ju Shen is an Associate Professor at the University of Dayton in the College of Arts and Sciences , Department of Computer Science. He directs the Interactive Visual Media Lab (IVIDIA) , focusing on virtual reality (VR), computer vision, and machine learning for applications in education, rehabilitation, and human-computer interaction. Ph.D. in Computer Science, University of Kentucky (2014) M.Sc. in Computer Science, University of Birmingham, UK (2006) His research spans computer vision , machine learning , and interactive media , with a recent emphasis on deep learning for 3D human pose estimation and medical imaging . He has authored over 50 peer-reviewed publications and secured grants from the National Science Foundation (NSF) , National Endowment for the Humanities (NEH) , and the Andrew W. Mellon Foundation . Recent publications highlight: Deep learning techniques for polyp segmentation and human pose estimation (2023-2024) Advancements in unsupervised depth estimation and face alignment (2020-2021) Applications in robot navigation , telepresence , and behavior analytics (2015-2019) Scientific recognition includes: Elevation to IEEE Senior Member (2016) Leadership roles at conferences like CVPR , ICME , and Healthcom Multiple STEM Catalyst Grants and Summer Research Fellowships IVIDIA Lab serves as a hub for VR/AR development , supporting student projects and collaborations in 3D environment modeling, sensor integration, and interactive controller applications.

James Brownمشاهده پروفایل

عضو هیئت علمی

• Pharmacology
• Gastroenterology
• Nitric Oxide Biology
• +۵ مورد دیگر

Dr. James Brown is a Principal Lecturer at the School of Medicine, Pharmacy and Biomedical Sciences (Faculty of Science & Health) at the University of Portsmouth , United Kingdom. He is affiliated with the Institute of Life Sciences and Healthcare and Centre for Integrated Health and Wellbeing . His research focuses on Gastroenterology , Cannabinoid Pharmacology , and Nitric Oxide Biology , with a particular emphasis on endoscopic procedures and gastrointestinal motility disorders. Research Interests: Role of cannabinoids in health and disease Medical applications of nitric oxide Endoscopic techniques for neoplasia detection Intestinal motility and ion channel regulation Colon-specific drug delivery systems Publication Trends: His recent articles (2017-2024) focus on disposable endoscopy technologies, cannabinoid effects on smooth muscle, virtual chromoendoscopy for colitis surveillance, and drug delivery innovations. Key subfields include endoscopic imaging, inflammatory bowel disease, TREK-1 channel therapeutics, and nitric oxide's role in gastrointestinal function. Academic Leadership: Dr. Brown accepts PhD students and has been a principal investigator on projects related to endoscopy, cannabinoids, and inflammatory bowel disease. His work appears in major journals like Gut , Endoscopy , and British Journal of Pharmacology , with multiple international collaborations.

• Gastroenterology
• Endoscopy
• Ergonomics
• +۶ مورد دیگر

Dr. Amandeep Shergill is a Professor of Medicine at the University of California, San Francisco (UCSF) School of Medicine specializing in Gastroenterology and Hepatology. Her clinical and research expertise focuses on gastrointestinal endoscopy, with particular emphasis on ergonomic considerations in endoscopic practice, colonoscopy quality metrics, and inflammatory bowel disease management. Dr. Shergill received her medical degree from UCLA in 2001, completed Internal Medicine Residency and Gastroenterology Fellowship at UCSF in 2004 and 2007 respectively, and earned an MS in Environmental Health Sciences with a focus on Ergonomics from UC Berkeley in 2010. She furthered her professional development with Diversity, Equity, and Inclusion Champion Training at UCSF in 2018. Her research interests span endoscopic techniques , ergonomic interventions to prevent physician injury , colonoscopy training methodologies , and inflammatory bowel disease management . Dr. Shergill has published extensively on cold snare polypectomy, ergonomic colonoscopes, endoscopic resection techniques, and clinical guidelines for gastrointestinal procedures. Analysis of her recent publications reveals a strong focus on optimizing endoscopic training through simulation-based mastery learning, developing assessment tools for procedural competence, and implementing ergonomic programs to enhance workplace safety for endoscopy staff. She has been instrumental in developing evidence-based guidelines through the American Society for Gastrointestinal Endoscopy. Co-author of multiple ASGE guidelines on ergonomics for prevention of endoscopy-related injury (2023) Principal investigator in the COMPLETE randomized controlled trial on cold snare polypectomy (2023) Contributor to ACG guidelines on management of acute lower gastrointestinal bleeding (2023) Dr. Shergill maintains an active role in medical education, mentoring trainees in endoscopic techniques while addressing critical issues of workplace safety and physician wellness in gastroenterology practice.

• Health Services Research
• Medical Informatics
• Public Health
• +۶ مورد دیگر

Kristan Olazo is a Researcher at the University of California, San Francisco (UCSF) School of Medicine, focusing on health services research and medical informatics. Her work examines healthcare delivery systems, particularly in safety-net environments, with an emphasis on marginalized populations and digital health solutions. She holds a Master of Public Health (MPH) from San Francisco State University (2019) and collaborates extensively with UCSF faculty including Urmimala Sarkar, Elaine Khoong, and Katarina Wang. Her research spans key areas in modern healthcare: Electronic patient-generated data integration Medical error disclosure frameworks Virtual reality applications for chronic pain Clinical workflow optimization Structural barriers in hypertension management Gender-based workplace challenges in medicine While her publications (2021-2025) primarily appear in health informatics, patient safety, and general medicine journals, trends show increasing focus on technology-enabled care models and equity-centered implementation science. Notable collaborations include 17 co-authors across UCSF, UCSD, and UC Davis institutions.