Muhamad Khoirul Anwar

Papers

Total Citations

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About

Muhamad Khoirul Anwar’s research bridges the critical gap between artificial intelligence and real-world crisis response, with a particular focus on disaster management and autonomous defense systems. His most cited work, “Implementation of Victims Detection Framework on Post Disaster Scenario” (2018, 25 citations), addresses Indonesia’s vulnerability to earthquakes by developing a rapid victim-detection framework that accelerates search-and-rescue operations in unpredictable, time-sensitive environments. This contribution has direct implications for saving lives in disaster-prone regions. In parallel, his paper “Deep Multilayer Network for Automatic Targeting System of Gun Turret” (2017, 19 citations) advances military robotics by replacing traditional manual gun turret operation with a deep learning-based automatic targeting system, enhancing both precision and operator safety. Anwar’s work demonstrates a dual commitment to humanitarian technology and defense innovation, applying deep neural networks to solve high-stakes, real-world problems. With a combined citation impact of over 40 citations from these two key papers, his research is recognized for its practical utility in both civilian and military contexts, marking him as a researcher who leverages AI to address urgent societal and security challenges.