Rate My Professor S. Padmaja

Dr. Padmaja's academic interests and research specializations lie in machine learning, artificial intelligence, natural language processing, sentiment analysis, and processing of code-mixed languages such as Telugu-English, as well as IoT applications for industrial safety. Her contributions to the field are evidenced by several peer-reviewed publications. Key works include 'Score-based Sentiment Analysis of Book Reviews' published in the International Journal on Natural Language Computing (IJNLC) Volume 7, No. 5, co-authored with Firdous Hussaini and S. Sameen Fatima. She co-authored 'Text Processing of Telugu–English Code Mixed Languages' with Sasidhar Bandu and S. Sameen Fatima. More recently, 'Semantic Role Labeling for Code-Switched Data' appeared in IEEE conference proceedings in 2024, with M. Nikitha from KMIT. Additionally, 'Impact of Fireworks Industry Safety Measures and Prevention Strategies on Human Error: An IoT Perspective' was published in the journal Sensors (MDPI) in 2023, collaborating with Indumathi Nallathambi, Sudhakar Sengan, Meshal Alharbi, Samah Alshathri, Mohit Bajaj, Moustafa H. Aly, and Walid El-Shafai. These publications highlight her focus on innovative NLP techniques for multilingual data and technology-driven safety solutions. Dr. Padmaja maintains an active Google Scholar profile with citations reflecting her scholarly impact in these domains.