Muhamad Dwisnanto Putro
Papers
18
Total Citations
177
H-Index
7
About
Muhamad Dwisnanto Putro is an Indonesian computer vision and robotics researcher whose work sits at the intersection of deep learning, real-time image processing, and human-robot interaction (HRI). His research focuses on developing lightweight yet powerful neural network architectures capable of running efficiently on low-cost hardware such as CPUs and edge devices — a critical challenge for practical robotics deployment. Putro's most influential contribution, a fast CPU-based facial expression detector using a Sequential Attention Network (2022, 56 citations), demonstrates his commitment to bridging the gap between academic deep learning models and real-world robotic applications. Complementing this, his lightweight face detection framework for service robots (2020, 26 citations) and real-time face tracking system (2018, 25 citations) form a cohesive body of work enabling robots to perceive and respond to humans effectively. His research extends into face mask detection during the COVID-19 pandemic, gender recognition, license plate detection, and even wildlife conservation through sea turtle monitoring, reflecting remarkable breadth. Early applied projects, including a customer-greeting robot deployed in a Manado shopping center, highlight his dedication to translating research into societal impact. With cumulative citations exceeding 150, Putro represents a rising voice in accessible, real-time computer vision for intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 3Real-time Face Tracking for Human-Robot Interaction25 citations · 2018
- 4Robot Pintar Penyambut Costumer pada Pusat Perbelanjaan Kota Manado13 citations · 2017
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- 8Streamlining Deep Learning Network for Real-time Sea Turtle Detection4 citations · 2024
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