Papers
5
Total Citations
153
H-Index
5
About
Sumair Aziz is a researcher at the forefront of intelligent robotics and embedded systems, whose work seamlessly integrates artificial intelligence, IoT, and sensor-based technologies. His key research areas span autonomous agricultural robotics, acoustic scene classification, and cyber-physical system control. Aziz’s most impactful contribution is the development of an IoT and wireless sensor network-based autonomous farming robot (2020, 49 citations), which addresses critical challenges in remote agricultural monitoring. He has also made significant strides in behavioral robotics through automatic scene recognition via acoustic classification (2019, 48 citations), enabling robots to interpret complex environmental sounds in real time. His work on feature matching and deep learning models for micro-aerial vehicle attitude estimation (2022, 32 citations) tackles cyber-attack vulnerabilities in robotic systems, while his control system design for two-wheeled self-balancing robots (2018, 15 citations) demonstrates practical expertise in dynamic stabilization. Additionally, Aziz has contributed to embedded system design for visual scene classification (2018, 9 citations), bridging computer vision with compact hardware. With over 150 total citations, his research is widely recognized for advancing autonomous systems that are both intelligent and resilient, making him a notable figure in modern robotics and IoT applications.
Research Focus
Key Achievements
Top Papers
- 1IoT and Wireless Sensor Network based Autonomous Farming Robot49 citations · 2020
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- 5Embedded System Design for Visual Scene Classification9 citations · 2018