Dr. Deepak Suresh Asudani
Assistant Professor
Ph.D. (CSE: Computer Vision and Natural Language Processing) from NIT, Raipur | M.Tech. (CSE) from GCoE, Amravati | B.E. (CSE) from RTM, University
deepak.asudani@sitnagpur.siu.edu.in
Ph.D. (CSE: Computer Vision and Natural Language Processing) from NIT, Raipur | M.Tech. (CSE) from GCoE, Amravati | B.E. (CSE) from RTM, University
Dr. Deepak Suresh Asudani is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology, Nagpur. He completed his B.E. in Computer Science from Anjuman College of Engineering and Technology (ACET), Nagpur, affiliated to Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, in 2008. He received his M.Tech. in Computer Science and Engineering from the Government College of Engineering, Amravati (GCoEA) in 2013.
He completed his Ph.D. in Computer Science and Engineering in 2024 from the National Institute of Technology, Raipur, Chhattisgarh, specializing in Computer Vision and Natural Language Processing. He has 17 years of teaching and research experience. He is a life member of the Computer Society of India (CSI), the Indian Society for Technical Education (ISTE), and a Fellow Member of the Institution of Electronics and Telecommunication Engineers (IETE). He has published papers in journals and conferences.
| No. | Information |
|---|---|
| 1 | Deepak Suresh Asudani et al., “Exploring the Effectiveness of Word Embedding based Deep Learning Model for Improving Email Classification”, Data Technologies and Applications, Emerald Publishing, Vol. 56 No. 4, pp. 483-505, 2022, https://doi.org/10.1108/DTA-07-2021-0191. [SCIE (IF: 1.667) + Scopus (CS:3.7)]. |
| 2 | Deepak Suresh Asudani et al., “Impact of Word Embedding Models on Text Analytics in Deep Learning Environment: A Review”, Artificial Intelligence Review, Springer Publishing, Vol. 56, pp. 10345–10425 (1-81), 2023, https://doi.org/10.1007/s10462-023-10419-1. [SCIE (IF: 12.0)]. |
| 3 | Deepak Suresh Asudani, Naresh Kumar Nagwani, and Pradeep Singh, “A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets”, Multimedia Tools and Applications, Springer Publishing, pp. 1-31, 2023, https://doi.org/10.1007/s11042-023-17797-2. [SCIE (IF: 3.6)]. |
| No. | Information |
|---|---|
| 1 | Deepak Suresh Asudani et al., “A Comparative Assessment of Region-based Convolutional Neural Networks for Object Detection in VQA Images”, Sixth International Conference on Electrical, Computer and Communication Technologies (ICECCT 2024), IEEE index conference, held on 26th - 28th, June, 2024, organized by Chhattisgarh Swami Vivekanand Technical University (CSVTU), Newai, Durg, Chhattisgarh, India. |
| 2 | Deepak Suresh Asudani et al., “Exploring the Effectiveness of Attention Based Visual Question Answering Model for Addressing Language Prior Problem”, 2024 4th Asian Conference on Innovation in Technology (ASIANCON), IEEE index conference, held on 23rd – 25th, August, 2024, organized by the Pimpri Chinchwad College of Engineering & Research (PCCOER), Pune, India, Maharashtra, India. |
| 3 | Deepak Suresh Asudani et al., “Exploring the Performance of You Only Look Once Model for Object Detection in VQA Images”, 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), IEEE index conference, held on 20th – 21st, December, 2024, organized by the G.H. Raisoni College of Engineering and Management, Nagpur, Maharashtra, India. |
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