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About

Dr. Ketan Kotecha is a leading researcher at the intersection of artificial intelligence, robotics, and human-computer interaction, whose work is driving advances in autonomous systems and intelligent sensing. His primary research areas include deep learning, reinforcement learning, computer vision, and speech emotion recognition, with a strong focus on real-world applications such as autonomous driving, rehabilitation robotics, and defense industry cobots. Among his most impactful contributions is a multimodal pedestrian detection framework that leverages metaheuristics with deep convolutional neural networks for crowded scenes, which has garnered 57 citations since 2023. He has also pioneered a lightweight deep neural ensemble model for speech emotion recognition using handcrafted features, achieving 28 citations in 2025, and has significantly advanced autonomous driving performance through deep reinforcement learning (22 citations). Dr. Kotecha’s work on personalized gait rehabilitation using deep learning-driven analysis of six-bar mechanisms (17 citations) and his intelligent context-aware framework for collaborative robots in defense (ICACIA, 11 citations) further demonstrate his commitment to translating AI innovations into practical, human-centered technologies. His comprehensive review of inverse reinforcement learning (2025) and bibliometric survey on cognitive document processing (2020) round out a portfolio that has earned him recognition as a prolific and versatile scholar shaping the future of intelligent systems.