Darpan Anand

Chandigarh University, Chitkara University

Papers

Total Citations

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About

Dr. Darpan Anand is a forward-thinking researcher at the intersection of intelligent systems and societal transformation. His primary contributions lie in three interconnected domains: the Internet of Things (IoT) for healthcare, advanced computer vision for human-computer interaction, and the strategic impact of automation on the future of work. His most cited work, "Smart Health Monitoring During Pandemic using Internet of Things" (2021, 6 citations), demonstrates a timely application of IoT architecture to address critical public health challenges, establishing a foundation for resilient, connected healthcare systems. In computer vision, his paper "An Improved Hand Gesture Recognition System Based on Optimized MSVM and SIFT Feature Extraction Algorithm" (2020, 4 citations) advances human-machine interaction by enhancing gesture recognition accuracy through a novel combination of feature extraction and optimized machine learning. Looking ahead, his 2025 work on "The Future of Work: Robotic Process Automation" (3 citations) explores how automation is reshaping business landscapes, signaling a sustained interest in the socio-technical implications of emerging technologies. Dr. Anand’s research portfolio bridges practical engineering solutions with visionary thinking about technology’s role in society, making his work relevant for students and researchers interested in IoT, AI, and the evolving digital ecosystem.