Faculty Department of Computer Science & Engineering

Research & Patents

Mr. Mayank Chauhan has contributed to research in sentiment analysis, disparity estimation, and machine learning-based disease diagnosis. His research includes “A Multi-Aspect Model for Identifying People’s Opinion on Indian Government and Its Policies Using Aspect-Based Sentiment Analysis,” presented at ICCESD 2024; “Deep Learning-Based Approaches for Disparity Estimation,” presented at AAIES-2024; and “A GUI-Driven Predictive Model for Chronic Kidney Disease Diagnosis Using Machine Learning,” presented at RACCAI-2024. The latter two papers have been communicated for publication in their respective conference proceedings. He has also contributed to technological innovation through a patent application titled “Fabrication and Automation of a Seed Sowing Machine Using IoT Technology” (Application No. 202311011427), which explores the integration of IoT with agricultural machinery to improve automation and operational efficiency. His academic and research activities reflect his commitment to interdisciplinary innovation and the practical application of emerging technologies.