Renuka Agrawal
Also known as: Dr. Renuka
Dr. D. Y. Patil Dnyan Prasad University, Symbiosis International University Symbiosis Institute of Technology, National Institute of Technology Raipur, Bhilai Institute of Technology
About
Dr. Renuka Agrawal is currently associated with Dnyaan Prasad Global University (DPGU), School of Technology and Research (STR), Pune, as an Associate Professor in the Department of Computer Engineering. She has a rich academic experience of 19 years from various Engineering colleges across India. She completed PhD in Computer Science and Engineering from Dr. C. V. Raman University Bilaspur in 2020, and M.Tech(Hons.) from NIT Raipur in 2002. Her research domain includes Data Mining, Machine Learning, Expert Systems, Big Data, Explainable AI (XAI). She is member (senior) IEEE and ISTE( Life Member).
Employment
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Dr. D. Y. Patil Dnyan Prasad University Associate Professor2026 - Present
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Symbiosis International University Symbiosis Institute of Technology Assistant Professor2022 - 2026
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Roorkee Institute of Technology Associate Professor2021 - 2022
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Pillai College of Engineering Assistant Professor2006 - 2011
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Christian College of Engineering and Technology Senior Lecturer1998 - 2003
Education
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National Institute of Technology Raipur M.Tech(Computer Technology)2000 - 2002
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Bhilai Institute of Technology Bachelor of Engineering1992 - 1996
Projects & Funding
Projects & funding information is unavailable.
Publications (73)
- Analyzing the Digital Pulse of Mahakumbh Mela: NLP-Driven Sentiment Insights from Twitter Save
- Triplet learning-based generalized additive model leveraging explainable convolutional neural network for the early detection of autism in children Save
- Study on the Impact of Educational Awareness About Association of Soft Drink Consumption and Diabetes Mellitus Save
- Harnessing Predictive Analytics and Machine Learning for Early Obesity Detection: A Multi-factorial Assessment and Personalized Intervention Framework Save
- “SK@ D” Smart Kit at Door-Internet of Things (IoT) Based Smart System Enabling Notifications Save
- Improving Predictive Performance in Telecom Churn Modeling with Hybrid SMOTE and GAN-Based Synthetic Data Generation Save
- IoT-Based Smart Health Monitoring System for Real-Time Vital Parameter Tracking and Emergency Alerting Save
- A Comprehensive Review of Artificial Intelligence in Healthcare: Emphasizing the Need for Explainability in Patient-Centric Applications Save
- IoT-Enabled Dual-Chamber Automated Smart Composter for Domestic Organic Waste Recycling. Save
- Explainable AI in early autism detection: a literature review of interpretable machine learning approaches Save