Kashif Javed

National University of Technology, National University of Sciences and Technology

Papers

Total Citations

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About

Kashif Javed is a robotics researcher whose work lies at the intersection of human-robot interaction (HRI) and agricultural AI. His primary research focuses on enabling robots to perceive and display complex social behaviors through dynamic body gestures, a key challenge in natural HRI. His most cited paper, "Human Robot Interaction: Identifying Resembling Emotions Using Dynamic Body Gestures of Robot" (2023, 8 citations), demonstrates how robots can learn and express emotions via body language, advancing the field of socially intelligent robotics. Javed also contributes to precision agriculture, co-authoring work on optimized disease classification in apples using genetic algorithm-based feature selection (2020, 3 citations). Affiliated with the Department of Robotics at SMME, NUST, Islamabad, his research bridges emotional intelligence in machines and practical agricultural solutions. With a growing citation footprint, Javed’s work is shaping how robots understand and mirror human emotions, while also tackling real-world challenges in crop health monitoring. His interdisciplinary approach—combining robotics, computer vision, and machine learning—positions him as an emerging voice in both social robotics and agricultural automation.