جستجوی استاد راهنمای دانشگاهی

Ji Hwan Park is an Assistant Professor in the School of Interactive Games and Media at RIT's Golisano College of Computing and Information Sciences (GCCIS). He holds a PhD from Stony Brook University under Prof. Arie Kaufman. His research focuses on accessible data visualization, digital twins, human-AI collaboration, and VR/AR applications. Notable contributions include developing tools for ADHD-friendly visualizations and interactive protein motif identification. He has received funding from the Department of Defense for biomedical research and earned an Honorable Mention at CHI 2024. Current teaching includes courses on game design and advanced algorithms. Research activities span medical imaging analytics (e.g., CMed framework for crowd-sourced diagnostics), climate modeling through Bayesian deep learning, and creative visualization techniques like Graphoto. His work bridges technical innovation with human-centered design principles, particularly in healthcare and neurodivergent accessibility contexts.

• Data Visualization
• Digital Twins
• Human-AI Teaming
• +۵ مورد دیگر

Arie E. Kaufman is a Distinguished Professor in the Department of Computer Science at Stony Brook University, serving as Chief Scientist of the Center of Excellence in Wireless and Information Technology (CEWIT) and Director of the Center of Visual Computing (CVC). He additionally holds a Distinguished Professorship in Radiology, with a 40+ year career at Stony Brook since joining in 1985 and chairing the CS department from 1999-2009. His seminal research spans computer graphics, visualization, and virtual reality with biomedical applications, pioneering breakthroughs including 3D Virtual Colonoscopy (FDA-approved colon cancer screening), Cube hardware architectures (commercialized as VolumePro), the Reality Deck (1.5 billion-pixel immersive display), and foundational work in volume visualization. His interests focus on real-time rendering, medical imaging, and immersive analytics, with recent work integrating machine learning for healthcare and environmental risk visualization. Recent publications demonstrate continued leadership in high-resolution immersive displays (Silo), XR analytics with LLMs, storm surge visualization, and neural reconstruction techniques. His work bridges theoretical innovation with practical applications, particularly in pancreatic cancer prognosis and disaster preparedness. Major honors include: IEEE Visualization Career Award (2005) Fellow of the National Academy of Inventors (2017) ACM Fellow (2009) IEEE Fellow (1998) Long Island Technology Hall of Fame (2013) European Academy of Sciences membership (2002) As PI on 100+ research grants, Kaufman's work has generated 300+ refereed papers, 40+ patents, and extensive media coverage (New York Times, Science, Wall Street Journal). He leads the Center of Visual Computing with focus on translational research, including VolVis software (5,000+ installations) and Reality Deck deployments for big data analytics. His lab develops cutting-edge visualization infrastructure for medical diagnostics and environmental modeling, with current projects advancing immersive storm surge analytics, neural structure extraction, and VR-based risk communication systems. Future work emphasizes AI-enhanced visualization for precision medicine and climate resilience planning.

• Computer Graphics
• Visualization
• Virtual Reality
• +۴ مورد دیگر

Professor Jerome Liang is a distinguished faculty member at Stony Brook University's Renaissance School of Medicine, holding professorships in Radiology, Biomedical Engineering, Electrical and Computer Engineering, and Computer Science. He serves as Co-Director of Radiology Research and has established himself as a leading expert in medical imaging reconstruction techniques. Dr. Liang's educational background includes a Ph.D. in Physics from City University of New York, postdoctoral training at Duke University, and fellowship at Albert Einstein College of Medicine. His undergraduate degree in Modern Physics was obtained from Lanzhou University in China. His primary research interests focus on advanced medical imaging techniques, particularly low-dose computed tomography image reconstruction, quantitative SPECT reconstruction, high-resolution PET imaging, tissue segmentation from multi-spectral images, computer-aided diagnosis systems, and virtual colonoscopy development. His work bridges engineering principles with clinical applications to improve diagnostic imaging capabilities while reducing radiation exposure. Analysis of his recent publications reveals a strong focus on machine learning applications in medical imaging, particularly in polyp classification, dual-energy CT spectral analysis, and virtual endoscopy. His research consistently aims to enhance diagnostic accuracy while optimizing radiation dose and improving visualization techniques for various medical conditions. 1981 China-US Physics Examination and Application Program (CUSPEA) Winner (Top 25 among 250,000 candidates) 1990 NIH First Investigator Award 1996 American Heart Association Established Investigator Award 1996 Radiological Society of North America Certificate of Merit Award 2002 SUNY Chancellor's Entrepreneur Award 2007 IEEE Society Fellow 2011-2013 SBU, BNL and CSHL Certificates of Excellence in Research and Invention 2013 Stony Brook School of Medicine Award for Excellence in Translational Research Dr. Liang has secured significant research funding including NIH/NCI R01 grants for "Advanced Virtual Colonoscopy for Early Cancer Screening" and "Radiogenomics of Colorectal Polyps." He currently leads active protocols including IRB 93995-MODCR005 focused on integrating virtual and optical colonoscopies with pathological analysis. His laboratory (IRIS - Imaging Research and Informatics) continues to advance medical imaging technology while mentoring the next generation of researchers in this critical field.

• Medical Image Reconstruction
• Computed Tomography
• Positron Emission Tomography
• +۶ مورد دیگر

Jacques Van Dam, MD, PhD, is a Professor of Medicine (Clinical Scholar) at the Keck School of Medicine of the University of Southern California. He specializes in advanced gastrointestinal endoscopy, focusing on pancreatic, esophageal, gastric, and colorectal cancers, as well as precancerous conditions like Barrett’s esophagus and pancreatic cystic neoplasms. His clinical expertise includes diagnostic and therapeutic gastrointestinal endoscopy, ERCP, and EUS. Dr. Van Dam holds academic titles from Georgetown University (MD, PhD), Harvard Medical School (residency/fellowship), and specialized training at the Cleveland Clinic. He has been recognized with major awards including the AMA Inspirational Physician Award (2014) and the ASGE Distinguished Service Award (2015). His research spans translational medicine, endoscopic innovation, and cancer diagnostics. His work emphasizes minimally invasive procedures, including EUS-guided therapies and optical biopsy techniques. Dr. Van Dam has contributed to over 150 peer-reviewed publications, focusing on endoscopic innovations, cancer detection, and device development. He serves as a past president of the American Society for Gastrointestinal Endoscopy (ASGE) and other professional societies.

• Gastroenterology
• Oncology
• Endoscopy
• +۶ مورد دیگر

Prof. Bruno Siciliano is a full Professor of Automatics and Robotics at the University of Naples Federico II's Department of Electrical Engineering and Information Technology (DIETI). He directs the PRISMA Lab and chairs the Scientific Council of the ICAROS Center. His research focuses on robotics, automation, and human-robot interaction, with notable contributions to medical robotics, deformable object manipulation, and AI integration. He has received prestigious awards such as the 2024 IEEE RAS Pioneer Award and is a Fellow of multiple international organizations. Affiliations: Director, PRISMA Lab Chair, ICAROS Center Scientific Council Member, ACN Technical-Scientific Committee Research Interests: His work spans robotics education, surgical robotics, non-prehensile manipulation, and AI-driven robotic systems. Notably, his projects include the ERC-funded EndoTheranostics initiative for robotic colonoscopy and RoDyMan for dynamic manipulation. His contributions bridge robotics with healthcare, automation, and cognitive systems. Awards & Honors: 2024 IEEE RAS Pioneer in Robotics and Automation Award Genio Award (2024) for pioneering Italian robotics Fellowships: IFAC, IEEE RAS, and international AI associations Grants & Leadership: ERC Synergy Grant (2023, 10M€) and Advanced Grant (2013) Leadership roles in IEEE RAS and international robotics initiatives Labs & Teams: PRISMA Lab focuses on robotics paradigms like design, knowledge, and human-robot interaction, with projects in medical robotics and autonomous systems.

• Robotics
• Automation
• Control Systems
• +۴ مورد دیگر

Tania Morimoto is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California San Diego. Her research focuses on the design and control of flexible and soft robots for medical and exploration applications, including personalized surgical robots and intuitive human-in-the-loop interfaces. She leads efforts in haptic device development for education, notably creating the Hapkit and H3Kit systems used in STEM labs globally. She holds a B.S. in Mechanical Engineering from MIT, and M.S. and Ph.D. from Stanford University's CHARM Lab. Her work bridges robotics, haptics, and medical engineering, with key innovations in continuum robot design, wireless sensing, and surgical teleoperation systems. Key research areas include soft robotics for minimally invasive surgery, wearable haptic devices, and scalable pneumatic control systems. Her team has developed novel methods for patient-specific robot design using preoperative medical imaging, along with virtual reality interfaces for surgical planning. Notable achievements include the NSF CAREER Award (2022) for work on handheld continuum robots, and contributions to wireless force sensing technologies. Her educational initiatives have expanded access to hands-on robotics learning through low-cost hardware kits adapted for remote instruction.

• Robotics
• Medical Robotics
• Soft Robotics
• +۳ مورد دیگر

Aly A. Farag is a Professor of Electrical and Computer Engineering at the University of Louisville, where he founded the Computer Vision and Image Processing (CVIP) Laboratory. His research focuses on imaging science, computer vision, and biomedical imaging, with applications in cancer detection and medical visualization. He has authored over 350 technical papers and two upcoming textbooks. Dr. Farag holds patents in imaging technologies and has led projects funded by NSF, DoD, NIH, and industry. Educations: B.S. in Electrical Engineering, Cairo University, 1976 M.S. in Bioengineering, University of Michigan, 1984 M.S. in Biomedical Engineering, Ohio State University, 1981 Ph.D. in Electrical Engineering, Purdue University, 1990 Research Interests: Scene analysis, multimodal imaging reconstruction, statistical segmentation, and biomedical visualization. His work has advanced tubular topology visualization, colon segmentation, and lung nodule analysis. Collaborations span medical institutions and federal agencies. Awards: 2002 University Scholar designation for technical achievements. Served as associate editor for IEEE Transactions on Image Processing and general co-chair of IEEE ICIP-09. Grants & Advising: Principal investigator on NSF/NIH-funded projects. Advised 15 PhD and 26 MS students, trained 10 postdocs, and introduced new ECE curriculum topics. Labs/Teams: CVIP Lab pioneers innovations in medical imaging and AI-driven diagnostics. Active in interdisciplinary teams for STEM education engagement metrics.

• Computer Vision
• Biomedical Imaging
• Image Processing
• +۵ مورد دیگر

Joseph T Ferrucci is a distinguished Professor of Radiology at UMass Chan Medical School's T.H. Chan School of Medicine, specializing in Abdominal Imaging within the Department of Radiology. With over four decades of academic and clinical experience, Dr. Ferrucci has established himself as a leading authority in gastrointestinal radiology, particularly in CT colonography and virtual colonoscopy techniques. His educational foundation includes an AB in Liberal Arts from Harvard University, an MD from Tufts University School of Medicine, Radiology Residency at Massachusetts General Hospital, and a Teaching Fellowship in Radiology at Harvard Medical School. This rigorous training provided the foundation for his subsequent contributions to abdominal imaging and interventional radiology. Dr. Ferrucci's research interests focus on advancing gastrointestinal imaging techniques, with particular emphasis on CT colonography, virtual colonoscopy, and interventional approaches to abdominal conditions. His work has significantly influenced clinical practice guidelines for colorectal cancer screening and the standardization of CT colonography reporting. Analysis of his publication history reveals consistent scholarly output with particular concentration on virtual colonoscopy development between 1998-2006, where he contributed to establishing both technical standards and clinical applications of this important screening modality. His most impactful publications include the highly cited 2003 colorectal cancer screening guidelines (611 citations) and the 2005 CT colonography reporting standards consensus (156 citations), demonstrating his leadership in shaping clinical practice in gastrointestinal radiology. Dr. Ferrucci's work spans both technical innovations in imaging methodology and practical clinical applications, with particular strength in translating research findings into clinical practice. Throughout his career, Dr. Ferrucci has maintained active involvement in both the academic and clinical aspects of radiology, contributing to the education of future radiologists while advancing the field through his research. His collaborative approach is evident in the numerous multi-institutional studies he has participated in, particularly in establishing consensus guidelines for colorectal cancer screening and CT colonography implementation.

• Radiology
• Abdominal Imaging
• CT Colonography
• +۵ مورد دیگر

James Benneyan is a Professor of Mechanical and Industrial Engineering at Northeastern University and Director of the Healthcare Systems Engineering (HSyE) Institute. His research focuses on healthcare systems engineering, operations research, and patient safety. He holds a PhD in Industrial Engineering and Operations Research from the University of Massachusetts, Amherst (1997). **Education**: PhD (1997), Industrial Engineering and Operations Research, University of Massachusetts, Amherst. **Research Interests**: Healthcare systems engineering and improvement Statistical process control for healthcare surveillance Optimization of medical supply chains and service systems Patient safety and diagnostic accuracy Rural healthcare access challenges **Awards**: Impact Award (2023), College of Engineering, Northeastern University Outstanding Research Award (2011) National Champion (2001), FIRST Robotics/Engineering Competition National Partnership for Reinventing Government Research Award (1998) **Key Projects**: Development of analytic models for opioid/heroin epidemic mitigation Optimized SPC charts for surgical infection surveillance Clinical dashboard integration in EHR systems Healthcare system redesign for veterans' PTSD treatment **Leadership**: Director of HSyE Institute, managing academic programs, federal research centers, and industry partnerships. Over 30 years of advancing healthcare improvement through systems engineering methods. **Grants & Partnerships**: $1.8M AHRQ grant for patient misdiagnosis prevention (2018) $450K NIH/NIDA for opioid epidemic modeling (2018) VA Engineering Research Center for healthcare process improvement **Future Work**: Expanding research on telehealth systems, rural healthcare access solutions, and AI-driven healthcare analytics.

• Healthcare Systems Engineering
• Operations Research
• Quality and Reliability Engineering
• +۳ مورد دیگر

Dr. Maria Ioana Danet is a Clinical Assistant Professor at the Université de Montréal's Department of Radiology, Radiation Oncology and Nuclear Medicine. She is a dual-certified radiologist (Royal College of Physicians and Surgeons of Canada & American Board of Radiology) with expertise in abdominal diagnostic radiology and a pioneer in promoting MRI technology adoption in Quebec. Her career spans clinical practice at Hôpital du Sacré-Cœur de Montréal, academic teaching of medical students and residents, and leadership as President of Radiologie St-Martin & Bois-de-Boulogne Inc. clinic. Bachelor's in Biochemistry - Université de Montréal MSc in Immunology - Université de Montréal MD (Medicine) - Université de Montréal Fellowship in Abdominal MRI - University of North Carolina at Chapel Hill Dr. Danet's research bridges radiology and pathology through MRI sequence development and lesion correlation studies, particularly in hepatic and colorectal cancer imaging. Her clinical work involves multidisciplinary cancer care committees and virtual colonoscopy innovations, while her teaching emphasizes medical ethics and trauma imaging. She actively participates in biomedical research initiatives including the Bayer QUANTI Project on contrast agents and AI applications in medical imaging. Her leadership role at the clinical clinic demonstrates commitment to technological innovation in radiological care.

• Abdominal Radiology
• Magnetic Resonance Imaging (MRI)
• Hepatic Imaging
• +۴ مورد دیگر

Steven Hicks is a Senior Research Scientist in the Holistic Systems department at Simula Metropolitan. His work focuses on applying artificial intelligence techniques to medical and multimedia applications, with particular emphasis on explainability and transparency in AI systems. Dr. Hicks' research spans multiple domains including medical imaging, particularly in gastrointestinal endoscopy and reproductive medicine. His primary interests include Deep Learning , Medical Multimedia , Explainable AI , and Computer Vision . His work has significant applications in polyp detection, sperm analysis, ECG interpretation, and medical image segmentation, contributing to advancements in diagnostic accuracy and clinical decision support systems. Analysis of Dr. Hicks' recent publications reveals a strong focus on medical applications of AI with emphasis on transparency and explainability. His work frequently addresses challenges in gastrointestinal endoscopy, reproductive medicine, and cardiology. A notable trend is his involvement in creating benchmark datasets like Kvasir-VQA and VISEM-Tracking, and organizing challenges through MediaEval and ImageCLEF to advance the field of medical AI and establish standardized evaluation frameworks. Dr. Hicks actively collaborates with medical professionals and researchers across multiple institutions, contributing to the development of practical AI solutions for real-world medical problems. His work bridges the gap between theoretical AI research and clinical applications, with significant contributions to both technical innovations and the creation of essential resources for the medical AI community.

• Deep Learning
• Medical Multimedia
• Explainable AI
• +۵ مورد دیگر

Jerome Liang is a distinguished Professor at Stony Brook University, holding academic positions across multiple departments including Radiology, Biomedical Engineering, Electrical and Computer Engineering, and Computer Science within the Renaissance School of Medicine. His research focuses on advanced imaging technologies, particularly in low-dose CT reconstruction, virtual colonoscopy, and AI-driven diagnostic tools. Education: PhD in Physics (City University of New York), Postdoc at Duke University He leads the Laboratory for Imaging Research and Informatics (IRIS), pioneering innovations like virtual colonoscopy systems and radio-genomics research. Notable awards include IEEE Fellow and SUNY Chancellor's Entrepreneur Award for commercializing medical imaging solutions. Recent work emphasizes AI applications in radiology and spectral CT analysis, with over 130+ peer-reviewed articles. His grants include NIH-funded projects on virtual colonoscopy and colorectal polyp research. Labs/Teams: IRIS Lab (Imaging Research and Informatics), collaborations with BNL and Cold Spring Harbor Lab.

• Medical Imaging
• Image Reconstruction
• Computed Tomography (CT)
• +۵ مورد دیگر

Gabriel Hanssen Kiss is an Associate Professor at NTNU's Department of Computer Science and a senior engineer at St Olavs Hospital's Operating Room of the Future. His expertise spans medical image processing, visualization, extended reality, and ultrasound technology. His research focuses on volumetric data visualization, image registration/fusion, and XR applications for medical contexts. With a PhD in Engineering from KU Leuven focused on visualization and automated polyp detection in virtual colonoscopy, Kiss bridges computer science with clinical applications to advance medical technology.

• Medical Image Processing
• Volumetric Visualization
• Image Registration
• +۲ مورد دیگر

Faouzi Alaya Cheikh is a Professor of Computer Science at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. He holds a BSc in Electronics (ENIT, Tunisia, 1992), MSc in Signal Processing (TUT, 1997), and a Dr. Tech. in Signal Processing (TUT, 2004). His career includes roles as an Associate Professor at Gjøvik University College (2006–2015), researcher at TUT (1994–2006), and Electronics Engineer at Société Tunisienne de l'Éléctricité et du Gaz (1992–1993). He leads the Intelligent Systems and Analytics (ISA) research group at NTNU. His research focuses on machine learning, 3D imaging, video surveillance, biometrics, and healthcare applications. Notable projects include Alameda , HiPerNav , and INID . Key areas of innovation include liver surgery visualization, polyp segmentation, facial expression recognition, and IoT-driven healthcare solutions. His work bridges computer vision, medical imaging, and biomedical signal processing. Publications span 2018–2025, emphasizing biomedical applications, autonomous systems, and deep learning frameworks. Recent contributions include real-time liver resection planning, polyp segmentation networks, and emotion recognition for neurological care. Collaborations span industries and institutions globally, addressing challenges in healthcare technology, surgical navigation, and smart cities.

• Machine Learning
• 3D Imaging
• Image and Video Processing
• +۷ مورد دیگر

Dr. Regis Kopper is an Assistant Professor of Computer Science at Iowa State University, leading the Interactive Realities Laboratory (IRLab). He holds a PhD from Virginia Tech and prior faculty positions at UNC Greensboro and Duke University. His research focuses on Extended Reality (XR) interfaces, user experience (UX), and immersive systems for healthcare, public safety, and training. Notable contributions include modular AR interfaces for first responders, VR surgery guidance tools, and studies on visual search patterns in medical diagnostics. Education: PhD in Computer Science (Virginia Tech, 2011); MS & BA in Computer Science (Pontifical University of Rio Grande do Sul, Brazil, 2006 & 2004). Research Interests: Design of 3D UIs, VR/AR applications in healthcare, and reducing VR discomfort. Key achievements include Best Paper Awards at IEEE 3DUI and the IEEE VR Grand Prize. Current projects aim to democratize healthcare access via immersive tech. Grants: NSF, NIH, NIST, DoD, FLAD-Portugal, FAPESP Awards: IEEE 3DUI Best Paper, FLAD Fellowship Labs: Interactive Realities Lab (IRLab), Duke immersive Virtual Environment (DiVE) Recent work explores equitable healthcare solutions through XR, including virtual colonoscopy viewers and nutrition education programs.

• Extended Reality (XR)
• Human-Computer Interaction (HCI)
• Immersive User Interfaces
• +۴ مورد دیگر