Clinical Image Analysis Lab
I am the Director of Center for Biomedical Informatics and Professor of Internal Medicine, Pathology and Biomedical Engineering at Wake Forest University School of Medicine and Director of the Clinical Image Analysis Lab. I received my BSc. and Ph.D. degrees in Electrical and Electronics Engineering from Bilkent University, Turkey and my MSc. Degree in Digital Systems Engineering from the University of Manchester Institute of Science and Technology, England. From 1999 to 2001, I was a postdoctoral research fellow in the Department of Radiology at the University of Michigan, Ann Arbor. Following my postdoctoral work, I worked as a senior researcher and a product director at a high-tech company, specializing in computer-aided detection and diagnosis of cancer from radiological images. Previously, I was Professor of Biomedical Informatics and Pathology, Director of Division of Clinical and Translational Informatics at the Ohio State University.
I am an author of over 200 peer-reviewed publications, book chapters and have been awarded three patents for my inventions in medical image analysis. I am the recipient of several awards including the British Foreign and Commonwealth Organization Award, NCI caBIG Embodying the Vision Award, NIH Exceptional, Unconventional Research Enabling Knowledge Acceleration (EUREKA) Award, Children’s Neuroblastoma Cancer Foundation Young Investigator Award, The OSU Cancer Center REAP Award, and Pelotonia Idea Award. As an internationally recognized researcher and educator, I am a senior of member of IEEE, SPIE, and AMIA. I currently serves on the editorial boards of Journal of Pathology Informatics and Journal of Medical Imaging; and organizes the Pathology Informatics Histopathological Image Analysis (HIMA) workshop.
Research Highlights
I am currently a Research Fellow at the Wake Forest University School of Medicine, contributing to the Clinical Image Analysis Lab (CIA LAB) within the Center for Artificial Intelligence Research (CAIR). I earned my Ph.D. in Electrical and Computer Engineering from North Carolina State University, where my research focused on the development of wearable robotic systems to enhance mobility and balance in individuals with lower limb amputations.
My research interests lie in the intersection of artificial intelligence, control, biomedical engineering, and clinical data integration. I am particularly focused on leveraging machine learning and data fusion techniques to extract actionable insights from multimodal healthcare data — including medical images, genomics, and electronic health records — to support precision medicine and improve patient outcomes.
Outside of research, I enjoy exploring new technologies, jogging, playing video games, and spending time with family and friends.
I am currently a Student Intern working on AI-driven video and image classification techniques to detect infections in the eardrum. I hold a bachelor’s degree in computer science and engineering from Shivaji University, India and have professional experience in both software development and quality assurance. I am passionate about exploring the intersection of artificial intelligence and real-world applications.
My name is Muhammet Fatih Demir, and I’m a medical doctor with several years of experience in clinical medicine, emergency care and public health. I have also served as an R&D assistant general manager in the biotechnology field and participated in academic microbiology work. In addition, I’ve been involved in research related to nutrition and healthy living, with a focus on improving patient well-being through evidence-based interventions.
My interests lie in the intersection of medicine and artificial intelligence, particularly in leveraging machine learning for diagnostic support. I look forward to contributing to CIA Lab’s ongoing research and exploring how AI can improve outcomes in clinical decision-making, pathology and preventive health care.
I am currently pursuing a Ph.D. in the Virginia Tech – Wake Forest University Biomedical Engineering (BME) program under Dr. Metin Nafi Gurcan's guidance. In 2024, I earned my master’s degree in Biomedical Engineering from Chongqing Medical University, where my research focused on developing deep learning algorithms for the automatic segmentation of lesions in breast ultrasound images. My research interests include medical image computing, deep learning, and their applications in radiological and pathological images. I am dedicated to translating my research into clinical practice to enhance diagnostic accuracy, improve efficiency and reduce patient suffering.
I am a Postdoctoral Research Fellow at Wake Forest University School of Medicine, where I develop deep learning models to predict breast cancer recurrence risk and infer molecular profiles from whole slide histopathology images. I am a former Ph.D. graduate of Istanbul Technical University, and I have extensive experience in computer vision, deep learning, machine learning, and LLMs. My deep background in artificial intelligence and commitment to advancing health care technologies drive my current research endeavors.
I am a postdoctoral research fellow at the Wake Forest University School of Medicine, working in the field of transcriptomic data analysis and biological age prediction using CT images. Previously, I earned my Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute. I also hold an M.S. and B.S. in Electronic and Communication Engineering from Harbin Institute of Technology. My research interests lie in the development and application of machine learning and deep learning techniques for image analysis, particularly in the fields of biomedical imaging and health monitoring.
I am currently working as an intern at the CAIR Lab in the Wake Forest University School of Medicine. At the same time, I am pursuing my Ph.D. at Dicle University. My doctoral research and lab work focus on explainable artificial intelligence applied to medical imaging. Between 2023 and 2024, I served as a research fellow in a large-scale project on prostate cancer. In addition to having published articles on various types of medical imaging, I am continuing to deepen my research in this field.
Outside of academia, I enjoy traveling, discovering new places, playing tennis, and creating unique experiences with my son.
Research Fellow
I am currently a Postdoctoral Research Fellow at the Wake Forest University School of Medicine, specializing in computer-aided detection and diagnosis within the domain of medical image analysis. In 2023, I earned my Ph.D. in Electrical and Electronics Engineering from Dicle University. My doctoral research focused on identifying neuro-markers for dementia through the analysis of EEG data using machine learning techniques. This work was recognized with the Contribution to Society Award from Dicle University.
My research interests center on the development and application of advanced machine learning and deep learning methodologies for medical image analysis, with a particular focus on digital pathology.
Outside of my academic pursuits, I enjoy traveling, watching films, and engaging in outdoor activities.