Ishfaq Yaseen

Papers

Total Citations

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About

Ishfaq Yaseen is a rising researcher whose work sits at the intersection of artificial intelligence, brain-computer interfaces, and bio-inspired robotics. His most impactful contribution, "Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface" (19 citations), demonstrates a novel approach to decoding EEG signals for assistive communication, enabling individuals with movement disabilities to control devices through thought alone. Yaseen further extends AI’s reach into wireless networks with "Quantum Artificial Intelligence Based Node Localization Technique for Wireless Networks" (5 citations), where he pioneers quantum-enhanced algorithms to solve the critical challenge of node positioning in sensor networks. His work on "Locomotion of Bioinspired Underwater Snake Robots Using Metaheuristic Algorithm" (3 citations) showcases his versatility, applying optimization techniques to mimic natural locomotion in harsh aquatic environments. By blending quantum computing, metaheuristic optimization, and deep learning, Yaseen is forging practical solutions for real-world problems—from assistive robotics to autonomous navigation. His growing citation record reflects a researcher who is not only technically adept but also deeply committed to translating cutting-edge AI into tangible societal benefits.