Dr. Deepak T. Mane
Vishwakarma University, Vishwakarma Institute of Technology, Shri Guru Gobind Singhji Institute of Engineering and Technology
0000-0002-5387-150X
About
DEEPAK T. MANE received a Bachelor of Engineering in Information Technology from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, in 2004 and a Master of Engineering in Computer Engineering from Bharti Vidyapeeth University, Pune, in 2011. He was awarded a Ph.D. in Computer Science and Engineering from SGGS Institute of Engineering and Technology, Nanded, in 2019.He has completed the funded research project “Amalgam Based to Design Translator and Synthesizer for English to the Sanskrit Language” from BCUD, SPPU, Pune. He has published 100+ research papers in reputed Scopus-indexed international journals like IEEE ACCESS, Springer, Elsevier, Inderscience, IGI Global, MDPI, etc. He is a reviewer for many reputed international conferences and scopus, sci journals. His main research focuses on Machine Learning, Deep Learning, and Supervised Clustering. He has 21+ years of teaching experience. He is currently working as Professor in the Department of Computer Engineering, Vishwakarma University, Pune, Maharashtra, India.
Employment
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Vishwakarma University Professor & Deputy Director, IQAC2026 - Present
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Vishwakarma Institute of Technology Professor2023 - 2025
Education
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Shri Guru Gobind Singhji Institute of Engineering and Technology PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (87)
- Garbage Detection Solution for Smart Cities Using YOLOv8 Image Recognition Save
- An Efficient System for Detection and Classification of Acute Lymphoblastic Leukemia Using Semi-Supervised Segmentation Technique Save
- Sentiment Analysis of Marathi Texts Using Deep Learning Models Save
- Segmentation and Classification of Melanoma Skin Cancer with Deep Learning Save
- Potato Plant Leaf Disease Detection Using Customized Deep Learning Save
- Leveraging Transfer Learning for Object Detection in Medical Imaging Save
- Garbage Detection Solution for Smart Cities Using YOLOv8 Image Recognition Save
- Emotionfusion: A Multimodal Approach to Emotion Detection Using Audio-Visual Cues Save
- EMG-Based Classification Model for Arm Movement Save
- Design and implementation of secure communication protocols for enhanced information security in financial transactions Save