Dr. Dnyaneshwar Bavkar
MGM College of Engineering and Technology, Kamothe, Navi Mumbai, Terna Engineering College, Dr. Babasaheb Ambedkar Marathwada University, Amity University
0000-0003-4746-0429
About
Dr. Dnyaneshwar M. Bavkar is an Associate Professor in the Department of Computer Engineering at MGM College of Engineering, where he brings over 17 years of academic experience in teaching, research, and academic leadership.
His core research interests revolve around Big Data Analytics, Social Media Analysis, Machine Learning (ML), and Artificial Intelligence (AI). Dr. Bavkar's work is driven by a passion for tackling real-world challenges through intelligent systems, particularly in areas such as sarcasm and sentiment analysis, fake news detection, and explainable NLP models.
He holds a Ph.D. in Computer Science and Engineering with a specialization in Natural Language Processing (NLP). He also completed his Master of Engineering (M.E.) in Computer Engineering and Bachelor of Engineering (B.E.) in Computer Science and Engineering. Committed to bridging the gap between academia and industry, he actively promotes collaborations that connect advanced research with practical, real-world technological applications.
Dr. Bavkar is dedicated to mentoring students, contributing to the academic community, and collaborating on innovative research projects that resonate with the rapidly evolving frontiers of AI and human-centered computing.
Employment
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MGM College of Engineering and Technology, Kamothe, Navi Mumbai Associate Professor2025 - Present
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Terna Engineering College Assistant Professor2008 - 2025
Education
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Terna Engineering College Master Of Engineering2010 - 2013
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Dr. Babasaheb Ambedkar Marathwada University Bachelor Of Engineering
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Amity University PhD(CSE)? - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Optimal pre-trained deep ensemble of classification model for multimodal sarcasm detection Save
- AI-Driven Micro-Expression Analysis for Deception Detection Save
- LQR-HyRAG: Latent Logarithmic Query Routing with Hybrid Retrieval-Augmented Generation for Adaptive Education Save
- Reimagining Asteroid Risk Assessment: A Comparative Review of Advanced Machine Learning Techniques Save
- SADCCNet: self-attention-based dense cascaded capsule network for bone cancer detection using deep learning approach Save
- Deep Hybrid Model with Trained Weights for Multimodal Sarcasm Detection Save
- Multimodal Sarcasm Detection via Hybrid Classifier with Optimistic Logic Save
- An Ephemeral Analysis of Sarcasm Detection on Social Media Save
- PAV: Parking Allotment for Vehicles using VANET Save