Email: deepakd@iiitm.ac.in
Address:
F Block, Room No.214, ABV-IIITM Gwalior, Morena Link Road, Gwalior (M.P.)
Personal Web Page: https://orcid.org/0000-0002-0160-4215
Dr. Deepak Kumar Dewangan is an Assistant Professor of the Department of Computer Science and Engineering, ABV- Indian Institute of Information Technology, Gwalior. Office: 214, CSE Block, Email: deepakd@iiitm.ac.in, Number of PhD Students Graduated: 00, Number of M. Tech. Graduated: 03, Number of Publications: 10 (Journals), 20 (Conferences), h-index: 20, i10 index: 30, Number of Projects: 01, Number of Keynote/Invited Talks Delivered: 12, Number of Committee Memberships: 01
Area of Specialization: Artificial Intelligence – Autonomous Vehicle System, Deep Learn
Number of M. Tech. Graduated: 03,
Number of Publications: 10 (Journals), 20 (Conferences),
h-index: 20, i10 index: 30, Number of Projects: 01,
Number of Keynote/Invited Talks Delivered: 12,
Number of Committee Memberships: 01
Office: 214, Block-V, ABV-IIITM
|
Degree |
Year |
Subject |
University/Institution |
|
PhD |
2022 |
Computer Science and Engineering |
National Institute of Technology, Raipur (C.G.) |
|
M. Tech. |
2012 |
Computer Science and Engineering |
Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, (C.G.) |
|
B.E. |
2005 |
Computer Science and Engineering |
Pt. Ravishankar Shukla University, Raipur (C.G.) |
Artificial Intelligence, Autonomous Vehicle Systems
SourceURL:file:///home/maxdesksales1011/Downloads/Faculty profile DOCS.docx
1. D. K. Dewangan and S. P. Sahu, ”Deep Learning-Based Speed Bump Detection Model for Intelligent Vehicle System Using Raspberry Pi,” in IEEE Sensors Journal, vol. 21, no. 3, pp. 3570-3578, 1 Feb.1, 2021, doi: 10.1109/JSEN.2020.3027097. SCIE, IF=3.301.
2. D. K. Dewangan and S. P. Sahu, ”Driving Behavior Analysis of Intelligent Vehicle System for Lane Detection Using Vision-Sensor,” in IEEE Sensors Journal, vol. 21, no. 5, pp. 6367-6375, 1 March1, 2021, doi: 10.1109/JSEN.2020.3037340. SCIE, IF=3.301.
3.Dewangan, D.K., Sahu, S.P. RCNet: road classification convolutional neural networks for intelligent vehicle system. Intelligent Service Robotics 14, 199–214 (2021). https://doi.org/10.1007/s11370-020-00343-6. SCIE, IF=2.246.
4. Dewangan, D.K., Sahu, S.P., Sairam, B. et al. VLDNet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation. Computing (2021), 103, 2867–2892 (2021). https://doi.org/10.1007/s00607-021-00974-2. Core Journal Ranking-B, SCI, IF=2.220.
5.Dewangan, D.K. and Sahu, S.P. (2021), PotNet: Pothole detection for autonomous vehicle system using convolutional neural network. Electron. Lett.,57: 53-56. https://doi.org/10.1049/ell2.12062. SCIE, IF=1.316.
6.Dewangan, D. K., & Sahu, S. P. (2022). Optimized Convolutional Neural Network for Road Detection with Structured Contour and Spatial Information for Intelligent Vehicle System. International Journal of Pattern Recognition and Artificial Intelligence. Volume 36, No. 06, https://doi.org/10.1142/S0218001422520024 Core Journal Ranking-C, SCIE, IF=1.373.
7. Dewangan, D.K., Sahu, S.P. Lane detection in intelligent vehicle system using optimal 2- tier deep convolutional neuralnetwork. Multimedia Tools Appl 82, 7293–7317 (2023). https://doi.org/10.1007/s11042-022 13425-7 Core Journal Ranking-B, SCIE, IF=2.577.
8.Dewangan, D.K., Sahu, S.P. Towards the design of vision-based intelligent vehicle system: methodologies and challenges. Evol. Intel. 16, 759–800 (2023). https://doi.org/10.1007/s12065-022-00713-2 Core Journal Ranking-B.
9. Dewangan, K.K., Dewangan, D.K., Sahu, S.P. et al. Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique. Multimedia Tools and Applications 81, 13935–13960 (2022). https://doi.org/10.1007/s11042-022-12385-2 Core Journal Ranking-B, SCIE, IF=2.577.
10. D. K. Dewangan, S. P. Sahu and K. V. Arya, "Vision-Sensor Enabled Multilayer CNN Scheme and Impact Analysis of Learning Rate Parameter for Speed Bump Detection in Autonomous Vehicle System," in IEEE Sensors Letters, vol. 8, no. 3, pp. 1-4, March 2024, Art no. 6002504, doi: 10.1109/LSENS.2024.3360095.
|
Sl |
Grant (Project/ Consultancy) |
Funding Agency |
PI/Co-PI |
|
1 |
Behaviour-Conditioned Safety-Aware Synthetic Scenario Generation for the Indian Traffic |
IIIT-H |
Co-PI |
|
SN |
Title |
Period |
Sponsoring Organization |
Venue |
|
|
From |
To |
||||
|
1. |
Towards AI Enabled Computer Vision |
15/07/2024 |
19/07/2024 |
Self |
ABV-IIITM Gwalior |
