Specialization

Intelligent Vehicle System, Deep Learning, Computer Vision, Robotics

Email

deepak.dewangan@thapar.edu

Google Scholar Link: https://scholar.google.co.in/citations?user=-qIXt1UAAAAJ&hl=en

ORCID Link: https://orcid.org/0000-0002-0160-4215

Education
•    PhD in Computer Science and Engineering, from National Institute of Technology (NIT) Raipur, Chhattisgarh 
•    M. Tech. in Computer Science and Engineering, from Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, Chhattisgarh
•    B. E. in Computer Science and Engineering, from Pt. Ravishankar Shukla University (Pt. RSU), Raipur, Chhattisgarh

Experience
1.    Assistant Professor, Department of Computer Science and Engineering, Thapar University Patiala, India (30 September, 2022 - present)
2.    Assistant Professor, Department of Computer Science and Engineering, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India. (02 Dec 2021 - 01 Sep 2022)
3.    Associate Professor, Department of Computer Science and Engineering, ITM University, New Raipur, Chhattisgarh, India. (15 Jan 2014 - 24 Aug 2018)
4.    Reader, Department of Computer Science and Engineering, Rungta College of Engineering and Technology, Raipur, Chhattisgarh, India. (15 Jun 2012 - 13 Dec 2013)
5.    Lecturer, Department of Computer Science and Engineering, Raipur Institute of Technology, Raipur, Chhattisgarh, India. (10 Jul 2006 - 14 Dec 2012)

Journal publications:
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 neural network. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-13425-7 Core Journal Ranking-B, SCIE, IF=2.577.
8.    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.
9.    Dewangan, D.K., Sahu, S.P. Towards the design of vision-based intelligent vehicle system: methodologies and challenges. Evol. Intel. (2022). https://doi.org/10.1007/s12065-022-00713-2 Core Journal Ranking-B.

International Conference Papers in Proceedings:
1.    D. K. Dewangan and S. P. Sahu, "Predictive Control Strategy for Driving of Intelligent Vehicle System against the Parking Slots," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), 2021, pp. 10-13, doi: 10.1109/ICICCS51141.2021.9432362.
2.    A. Ojha, S. P. Sahu and D. K. Dewangan, "Vehicle Detection through Instance Segmentation using Mask R-CNN for Intelligent Vehicle System," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), 2021, pp. 954-959, doi: 10.1109/ICICCS51141.2021.9432374.
3.    K. Banjarey, S. Prakash Sahu and D. Kumar Dewangan, "A Survey on Human Activity Recognition using Sensors and Deep Learning Methods," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1610-1617, doi: 10.1109/ICCMC51019.2021.9418255.Satendra Kumar, 
4.    P. Pardhi, K. Yadav, S. Shrivastav, S. P. Sahu and D. Kumar Dewangan, "Vehicle Motion Prediction for Autonomous Navigation system Using 3 Dimensional Convolutional Neural Network," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1322-1329, doi: 10.1109/ICCMC51019.2021.9418449.
5.    S. P. Sahu, D. K. Dewangan, A. Agrawal and T. Sai Priyanka, "Traffic Light Cycle Control using Deep Reinforcement Technique," 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), 2021, pp. 697-702, doi: 10.1109/ICAIS50930.2021.9395880.
6.    Dewangan D.K., Sahu S.P. (2021) Road Detection Using Semantic Segmentation-Based Convolutional Neural Network for Intelligent Vehicle System. In: Reddy K.A., Devi B.R., George B., Raju K.S. (eds) Data Engineering and Communication Technology. Lecture Notes on Data Engineering and Communications Technologies, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-16-0081-4 63
7.    D. K. Dewangan and S. P. Sahu, "Real Time Object Tracking for Intelligent Vehicle," 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T), 2020, pp. 134-138, doi:10.1109/ICPC2T48082.2020.9071478.
8.    Deepak Kumar Dewangan and Satya Prakash Sahu, "Lane Detection: A Pathway Towards Self Driving Car (MIND-2019), NIT Kurukshetra, India, 3-4 March 2019.
9.    Pandey, Pratibha, Kranti Kumar Dewangan, and Deepak Kumar Dewangan. "Satellite image enhancement techniques a comparative study." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), pp. 597-602. IEEE, 2017.
10.    Pandey, Pratibha, Kranti Kumar Dewangan, and Deepak Kumar Dewangan. "Enhancing the quality of satellite images by preprocessing and contrast enhancement." In 2017 International Conference on Communication and Signal Processing (ICCSP), pp. 0056-0060. IEEE, 2017.
11.    Pandey, Pratibha, Kranti Kumar Dewangan, and Deepak Kumar Dewangan. "Enhancing the quality of satellite images using fuzzy inference system." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), pp. 3087-3092. IEEE, 2017.
12.    Ali, Uzma, Kranti K. Dewangan, and Deepak K. Dewangan. "Distributed Denial of Service Attack Detection Using Ant Bee Colony and Artificial Neural Network in Cloud Computing." In Nature Inspired Computing, pp. 165-175. Springer, Singapore, 2018.
13.    Bhattacharya, Nivedita, Deepak Kumar Dewangan, and Kranti Kumar Dewangan. "An Efficacious Matching of Finger Knuckle Print Images Using Gabor Feature." In ICT Based Innovations, pp. 153-162. Springer, Singapore, 2018.

Book Chapters:
1.    Dewangan D.K., Sahu S.P. (2021) Lane Detection for Intelligent Vehicle System Using Image Processing Techniques. In: Verma G.K., Soni B., Bourennane S., Ramos A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5 21

Invited Talk(s)

•    Delivered an expert lecture in AICTE Training and Learning (ATAL) Academy Online Elementary FDP on "Recent Trends and Advancements in ANN and Deep learning for Real Time Applications” conducted from 20/12/2021 to 24/12/2021.
•    Served as \Session Chair" in the International Conference on Applications of Intelligent Computing in Engineering and Science (AICES 2022) held during February 12th-13th, 2022 at National Institute of Technology Raipur, Chhattisgarh, India in virtual mode.
•    Delivered a technical session in the national conference on "Impact of Intelligent System and its Applications in Data Sciences" organized by Department of Computer Science, Vipra Art, Commerce and Physical Education College, Raipur (C.G.) during 20/06/2022 to 22/06/2022.

ROBOTICS RESEARCH PROJECTS (Role: Application Developer)
Following projects facilitated and supervised by ITM University naya Raipur during 2017-2018. All the implementations in this direction involve 3D printed object and android based applications developed using Arduino microcontroller.
1. Wall Plotter
This project demonstrates the Arduino and android based implementation to plot drawing on the wall.
2. Writing Robot
Arduino based writing robot is a small-scale agent which draws/writes any pattern given by the android application.
3. Pick and Place Robot
To demonstrate the functions of a standard pick and drop robot, this project was developed using Arduino and android applications.