Zakir Ali

Nanjing University of Science and Technology, Bundelkhand University

Papers

Total Citations

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About

Zakir Ali is a researcher at the forefront of two transformative fields: real-time computer vision and wearable antenna technology for the Internet of Things (IoT). His work addresses critical challenges in both domains, from enabling efficient AI-driven perception to powering next-generation smart textiles. In computer vision, Ali introduced **SPSSNet**, a real-time network for image semantic segmentation that tackles the computational bottlenecks of deep neural networks. By reducing feature channels and floating-point operations, his model makes high-accuracy segmentation feasible for real-time applications, a contribution cited **9 times** and essential for autonomous systems and edge AI. Simultaneously, Ali is pioneering the integration of advanced materials into wireless communication. His highly cited work on **Defected Ground Structure (DGS) textile antennas**—including a semi-circular slot design and a novel jeans-substrate antenna—achieves broad bandwidth (3.85–14.58 GHz) and excellent return loss, specifically engineered for future IoT and AI integration. These innovations, cited **6 and 3 times** respectively, are pivotal for creating flexible, body-worn devices that seamlessly connect the physical and digital worlds. Through this dual focus on efficient vision and wearable connectivity, Zakir Ali is laying the hardware and algorithmic foundations for a truly intelligent and interconnected future.