Mohammad Javad Ghazanfari

Kashan University of Medical Sciences, Shahid Beheshti University of Medical Sciences

Papers

Total Citations

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About

Mohammad Javad Ghazanfari is a researcher at the intersection of machine learning, geriatric care, and haptic robotics. His work addresses pressing challenges in healthcare for aging populations, particularly through the application of artificial intelligence. In his highly cited 2021 paper, "Machine Learning for Geriatric Clinical Care: Opportunities and Challenges" (21 citations), Ghazanfari explores how ML can manage the complex, multi-morbid conditions—chronic diseases, cognitive decline, and functional dependence—that define geriatric patients. This work highlights both the promise and the hurdles of integrating AI into elder care. Expanding his focus to rehabilitation, his 2023 study on "Tele-rehabilitation to improvement of the quality of nursing care" (4 citations) demonstrates how telemedicine technologies can enhance nursing outcomes for remote patients. Most recently, Ghazanfari has ventured into haptics and virtual reality with his 2024 paper, "Stiffness Simulation with Haptic Feedback Using Robotic Gripper and Paper Origami as End-Effector" (2 citations), which introduces a novel, low-cost method for simulating material stiffness—a breakthrough with implications for architectural design and VR-based training. By bridging machine learning, telemedicine, and robotics, Ghazanfari is shaping a future where technology directly improves the quality of life for older adults and expands the boundaries of virtual interaction.