Abdul Waheed Malik

COMSATS University Islamabad, University of Turku

Papers

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About

Abdul Waheed Malik is a researcher at the forefront of hardware-centric machine vision and energy-efficient IoT systems, with a particular focus on real-time image processing and swarm robotics. His foundational work, "Real-time Component Labelling with Centre of Gravity Calculation on FPGA" (2011, 19 citations), introduced a pioneering hardware unit that enables rapid, precise object tracking for robotic navigation—a critical advancement for autonomous systems requiring low-latency visual feedback. Building on this, his 2010 paper on high-precision center of gravity calculation (6 citations) further refined dynamic thresholding algorithms, cementing his expertise in FPGA-based vision architectures. More recently, Malik has expanded into optimizing communication costs for energy-efficient IoT devices in swarm robotics (2025, 1 citation), addressing the pressing challenge of balancing data transmission with battery life in distributed robotic networks. His work bridges the gap between hardware acceleration and practical robotics, offering scalable solutions for real-world applications. With a career spanning over a decade, Malik’s contributions continue to influence both embedded systems design and autonomous navigation, making him a notable figure in the intersection of computer vision and energy-aware IoT.