About
Dr. Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab in 2018. She has alsocompleted Post Graduate Certificate Program in Data Science and Machine Learning from Indian Institute of Technology, Roorkee in 2023. She has completed her Postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia in August, 2023. She has more than 20 years of teaching experience. She is an active member of ISTE, IEEE and IAEngg. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned SCI and Scopus journals and conference proceedings. She has published several national and international patents and authored, edited and coedited 9 books. Dr. Rani has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and key note talks in many National and International Conferences. She has also organized many International Conferences during her 20 years of teaching experience. She is the member of Editorial Board and reviewer of many international journals of repute. She is also the vice-president of SME and MSME (UT Council), Women Indian Chamber of Commerce and Industry (WICCI) from last 3 years. Her research interest includes Parallel and Distributed Computing, Data Science, Machine Learning, Internet of Things (IoT), Industry 4.0, and Smart Healthcare.
Employment
Employment history is unavailable.
Education
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Publications (149)
- Machine learning-based honing of biogas production from heterogeneous sweet sorghum biomass pre-treated with sweet lemon-derived bioenzyme Save
- Deep Learning-Assisted Early Detection of Skin Cancer from Dermoscopic Images in Underserved Clinical Settings Save
- POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS Save
- AI-driven optimization techniques for smart sustainable manufacturing in Industry 5.0 ecosystem: A comprehensive review Save
- GPU-Accelerated Monte Carlo Simulations for Real-Time Financial Risk Analysis Save
- Robotic Systems in Precision Drug Delivery and Surgical Automation Save
- Enhanced grid integration through machine-learning optimized bidirectional EV chargers Save
- Advancing Healthcare with Explainable AI Save
- Applications of Explainable AI in Diagnosis and Treatment Save
- Case Studies Save