Dr. Anjali A. Bhadre
G.H. Raisoni College of Engineering and Management, Brahma Valley College of Engineering and Research Institute, Dr. Babasaheb Ambedkar Technological University
0009-0009-0734-2402
About
Dr. Anjali A. Bhadre is an Associate Professor in the Department of Computer Engineering at G.H. Raisoni College of Engineering and Management, Pune, India. She holds a Ph.D. in Computer Engineering from Chhatrapati Shahu Ji Maharaj University (CSJMU), Kanpur (2018), an M.Tech. in Computer Engineering from Dr. Babasaheb Ambedkar Technological University (BATU), Lonere (2013), and a B.Tech. in Information Technology from Shri Guru Gobind Singhji Institute of Engineering and Technology (SGGS), Nanded (2009). She is IBM DB2 certified and has qualified GATE 2008. With over 15 years of academic and research experience, including serving as Head of Department at Brahma Valley College of Engineering & Research Institute, Nashik, her research spans Artificial Intelligence & Machine Learning, Deep Learning & Computer Vision, Cybersecurity & Blockchain, Natural Language Processing, Healthcare AI, and IoT. She has authored 43+ research publications in reputed journals and conferences, and holds 8 patents (3 granted, 1 design registered). She actively mentors research scholars and contributes to academic leadership in engineering education.
Employment
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G.H. Raisoni College of Engineering and Management Associate Professor2024 - Present
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Brahma Valley College of Engineering and Research Institute Head of Department2022 - 2024
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Shatabdi Institute of Engineering and Research Assistant Professor2015 - 2022
Education
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Dr. Babasaheb Ambedkar Technological University M.Tech. in Computer Engineering? - 2013
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Shri Guru Gobind Singhji Institute of Engineering B.Tech. in Information Technology? - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (43)
- Intelligent Oceans Save
- A Hybrid Deep Learning Approach Using Temporal Attention Networks and Gradient-Boosted Ensemble Methods Save
- Spiking neural network architectures with memristive synapses for energy-efficient edge intelligence: A hardware-software co-design framework Save
- SecureChain: A sharded blockchain architecture with zero-knowledge proof integration for high-throughput secure distributed computing Save
- Privacy-preserving federated learning framework with adaptive differential privacy for distributed healthcare AI systems Save
- Performance analysis of the CRDI diesel engine's performance and emission parameters blended with leftover cooking oil, additional nanoparticles, and hydrogen enrichment Save
- Nonlinear power law modeling for test vehicle structural response Save
- Intelligent Community Health Literacy Enhancement Using Federated Natural Language Processing and Privacy-Preserving Deep Learning Save
- Hybrid quantum-classical variational algorithms for large-scale combinatorial optimization: A novel adaptive ansatz framework with error mitigation Save
- DeepEdge: An intelligent distributed computing framework for real-time IoT analytics with adaptive resource orchestration and predictive maintenance Save