Fully Funded by Ministry of Education, Govt. of India

शिक्षा मंत्रालय, भारत सरकार द्वारा वित्त पोषित

Dr. Deepak Kumar Dewangan

Dr. Deepak Kumar Dewangan

Designation: Assistant Professor

Department: Computer Science

Honour: Ph. D. (NIT Raipur)

Area of Interest: Autonomous Vehicle System, Deep Learning

Office Phone : 9669734590

Address: F Block, Room No.214, ABV-IIITM Gwalior, Morena Link Road, Gwalior (M.P.)

Email: deepakd@iiitm.ac.in

Biography

Dr. Deepak Kumar Dewangan is currently working as Assistant Professor at Atal Bihari Vajpayee Indian Institute of Information Technology & Management Gwalior. He received MHRD fellowship during his Ph. D. program at the National Institute of Technology, Raipur. He has contributed more than 20 research papers in international journal and conferences. His research interests involve Autonomous Vehicle System, Deep Learning, and Computer Vision. He has more than 10 Years of academic experience and has worked with the India’s top NIRF institutes Siksha 'O' Anusandhan University, Bhubaneswar and in his last assignment he was associated with Thapar Institute of Engineering and Technology.

International Journals                                   : Total 9 Journals

  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. 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

Conferences                                                      : Total 17 Conferences

  1. Sahu, S., Sahu, S. P., & Dewangan, D. K. (2023, June). Pedestrian detection using ResNet-101 based Mask R-CNN. In AIP Conference Proceedings (Vol. 2705, No. 1). AIP Publishing.
  2. M. Ramchandani, S. P. Sahu and D. K. Dewangan, "A Comparative Study in Pedestrian Detection for Autonomous Driving Systems," 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), Raigarh, Chhattisgarh, India, 2023, pp. 1-6, doi: 10.1109/OTCON56053.2023.10113992.

3.Sahu, S., Sahu, S.P., Dewangan, D.K. (2023). Pedestrian Detection Using MobileNetV2 Based Mask R-CNN. In: Joby, P.P., Balas, V.E., Palanisamy, R. (eds) IoT Based Control Networks and Intelligent Systems. Lecture Notes in Networks and Systems, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-19-5845-8_22

  1. Banjarey, K., Sahu, S.P., Dewangan, D.K. (2022). Human Activity Recognition Using 1D Convolutional Neural Network. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_54
  2. Banjarey, K., Sahu, S.P., Dewangan, D.K. (2022). Human Activity Recognition Using 1D Convolutional Neural Network. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_54
  3. ingh, A., Bansal, A., Chauhan, N., Sahu, S.P., Dewangan, D.K. (2022). Image Generation Using GAN and Its Classification Using SVM and CNN. In: Noor, A., Sen, A., Trivedi, G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems . ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_8
  4. 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), Madurai, India, 2021, pp. 10-13, doi: 10.1109/ICICCS51141.2021.9432362.
  5. 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), Madurai, India, 2021, pp. 954-959, doi: 10.1109/ICICCS51141.2021.9432374.
  6. 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), Erode, India, 2021, pp. 1610-1617, doi: 10.1109/ICCMC51019.2021.9418255.
  7. 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), Erode, India, 2021, pp. 1322-1329, doi: 10.1109/ICCMC51019.2021.9418449.
  8. 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), Coimbatore, India, 2021, pp. 697-702, doi: 10.1109/ICAIS50930.2021.9395880.
  9. 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), Raipur, India, 2020, pp. 134-138, doi: 10.1109/ICPC2T48082.2020.9071478.
  10. Bhattacharya, N., Dewangan, D.K., Dewangan, K.K. (2018). An Efficacious Matching of Finger Knuckle Print Images Using Gabor Feature. In: Saini, A., Nayak, A., Vyas, R. (eds) ICT Based Innovations. Advances in Intelligent Systems and Computing, vol 653. Springer, Singapore. https://doi.org/10.1007/978-981-10-6602-3_15
  11. Ali, U., Dewangan, K.K., Dewangan, D.K. (2018). Distributed Denial of Service Attack Detection Using Ant Bee Colony and Artificial Neural Network in Cloud Computing. In: Panigrahi, B., Hoda, M., Sharma, V., Goel, S. (eds) Nature Inspired Computing. Advances in Intelligent Systems and Computing, vol 652. Springer, Singapore. https://doi.org/10.1007/978-981-10-6747-1_19
  12. P. Pandey, K. K. Dewangan and D. K. Dewangan, "Enhancing the quality of satellite images using fuzzy inference system," 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India, 2017, pp. 3087-3092, doi: 10.1109/ICECDS.2017.8390024.
  13. P. Pandey, K. K. Dewangan and D. K. Dewangan, "Satellite image enhancement techniques — A comparative study," 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India, 2017, pp. 597-602, doi: 10.1109/ICECDS.2017.8389506.
  14. P. Pandey, K. K. Dewangan and D. K. Dewangan, "Enhancing the quality of satellite images by preprocessing and contrast enhancement," 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017, pp. 0056-0060, doi: 10.1109/ICCSP.2017.8286525.

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