Rohit Rastogi

ABES Engineering College, Dayalbagh Educational Institute

Papers

Total Citations

H-Index

About

Rohit Rastogi’s research lies at the intersection of computational intelligence, healthcare, and the Internet of Things (IoT), with a focus on developing smart, data-driven solutions for real-world challenges. His most notable contribution is a pioneering study on lung carcinoma risk stratification, where he applied a Healthcare 4.0 framework integrated with computational intelligence for medical diagnosis. This work, published in 2021 and cited 4 times, demonstrates how machine learning can enhance early detection and personalized risk assessment in oncology, paving the way for more efficient, non-invasive diagnostic tools. Rastogi has also explored IoT applications in smart home security, addressing the growing need for heterogeneous, automated safety systems in residential environments. His 2020 paper on this topic, with 2 citations, examines how robotization and home automation can be leveraged to create adaptive, secure living spaces. Through these contributions, Rastogi showcases a commitment to translating advanced computing techniques into practical innovations that improve human health and daily life. His work bridges the gap between theoretical AI models and tangible applications, offering valuable insights for researchers and students interested in the future of intelligent, connected systems.