Assistant Professor
Computer Science & Artificial Intelligence
Hanbat National University, Daejeon, South Korea
11 Years
Research Activities, Teaching, IEEE Activities.
Computer Vision, Soft Robotics, Biological Signal Processing, Deep Learning, Human Gait Analysis, Pattern Recognition
PhD in Electronics and Communication Engineering, ICFAI University Dehradun,Specialization in Human Activity Recognition,Pattern Recognition, Robotics and Signal Proceesing.
M.Tech in Digital Communication from Uttarakhand Technical University, Dehradun.
B.Tech in Electronics and Communication Engineering(NBA Accredited) from Uttar Pradesh Technical University (UPTU) Lucknow.
Assistant Professor at SR University Warangal, from 2023-11-14 to .
Post Doc Researcher at Hanbat National University Daejeon South Korea, from 2022-10-01 to 2023-10-31.
Assistant Professor at Institute of Technology Gopeshwar, Chamoli , Uttarakhand, from 2013-10-03 to 2022-09-23.
Assistant Professor at Uttaranchal University(Former UIT) Dehradun, from 2013-02-01 to 2013-09-30.
PG
UG
H. Baek, A. M. Khan, V. Bijalwan, S. Jeon and Y. Kim, "Dexterous Robotic Hand Based on Rotational Shape Memory Alloy Actuator-Joints," in IEEE Transactions on Medical Robotics and Bionics, vol. 5, no. 4, pp. 1082-1092, Nov. 2023, doi: 10.1109/TMRB.2023.3315783.
H. Baek, N. A. Mansour, A. M. Khan, V. Bijalwan, H. F. Ali, and Y. Kim, “Sma-based caterpillar robot using antagonistic actuation,” Microsystem Technologies, pp. 1–15, 2023.
V. Bijalwan, V. B. Semwal, G. Singh, and T. K. Mandal, “Hdl-Psr: Modelling spatio-temporal features using hybrid deep learning approach for post-stroke rehabilitation,” Neural Processing Letters, vol. 55, no. 1, pp. 279–298, 2023.
A. M. Khan, V. Bijalwan, H. Baek, B. Shin, and Y. Kim, “Integral sliding mode control (ismc) with an extended state Observer (eso) for an arc-shaped memory alloy actuator,” Microsystem Technologies, Aug. 2023, issn: 1432-1858. doi: 10.1007/s00542-023-05516-8.
A. M. Khan, V. Bijalwan, B. Shin, and Y. Kim, “Adaptive neural network control design and analysis for SMA actuators having dominant shape memory effect,” Sensors and actuators: A physical, 2023
V. B. Semwal, Y. Kim, V. Bijalwan, et al., “Development of the lstm model and universal polynomial equation for all the sub-phases of human gait,” IEEE Sensors Journal, vol. 23, no. 14, pp. 15 892–15 900, 2023. doi: 10.1109/JSEN.2023.3281401
V. Bijalwan, V. B. Semwal, and V. Gupta, “Wearable sensor-based pattern mining for human activity recognition: Deep learning approach,” Industrial Robot: the international journal of robotics research and application, vol. 49, no. 1, pp. 21–33, 2022.
V. Bijalwan, V. B. Semwal, G. Singh, and R. G. Crespo, “Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition,” Expert Systems, vol. 39, no. 6, e12706, 2022.
V. B. Semwal, N. Gaud, P. Lalwani, V. Bijalwan, and A. K. Alok, “Pattern identification of different human joints for different human walking styles using inertial measurement unit (imu) sensor,” Artificial Intelligence Review, vol. 55, no. 2, pp. 1149–1169, 2022.
V. Bijalwan, V. B. Semwal, and T. Mandal, “Fusion of multi-sensor-based biomechanical gait analysis using vision and wearable sensor,” IEEE Sensors Journal, vol. 21, no. 13, pp. 14 213–14 220, 2021.
V. B. Semwal, P. Lalwani, M. K. Mishra, V. Bijalwan, and J. S. Chadha, “An optimized feature selection using bio-geography optimization technique for human walking activities recognition,” Computing, vol. 103, no. 12, pp. 2893–2914, 2021.
P. Bagwari, B. Saxena, M. Balodhi, and V. Bijalwan, “Comparison of feedforward network and radial basis function to detect leukemia,” International Journal of Interactive Multimedia and Artificial Intelligence, vol. 4, no. 5, p. 55, 2017. doi: 10.9781/ijimai.2017.4510.
V. Mehta, D. Punetha, and V. Bijalwan, “A real-time approach to theft prevention in the field of transportation system,” 2016 IJIMAI
V. Bijalwan et al., “Machine learning approach for text and document mining." arxiv preprint,” arXiv preprint arXiv:1406.1580, 2014.
V. Bijalwan, V. Kumar, P. Kumari, and J. Pascual, “Knn based machine learning approach for text and document mining,” International Journal of Database Theory and Application, vol. 7, no. 1, pp. 61–70, 2014.
M. Sati, V. Vikash, V. Bijalwan, et al., “A fault-tolerant mobile computing model based on scalable replica,” IJIMAI, vol. 2, no. 6, pp. 58–68, 2014.
Sangmin Jeon , Vishwanath Bijalwan,and Youngshik Kim, “Design of an SMA-based flat actuator with a pat- tern inspired by Amphibian lungs’”, Accepted for presentation at 2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Hosei University, Tokyo, Japan.
Hangyeol Baek ,Abdul Manan Khan, Vishwanath Bijalwan,and Youngshik Kim, “Tensegrity-inspired Multi-axis Positioning SMA Actuator”, Accepted for presentation at 2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Hosei University, Tokyo, Japan.
H. Baek, A. M. Khan, V. Bijalwan, and Y. Kim, “Shape Memory Alloy Based Soft Gripper,” ser. Information Storage and Processing Systems, vol. ASME 2023 32nd Conference on Information Storage and Processing Systems, Aug. 2023, V001T07A001. doi: 10.1115/ISPS2023-109566. eprint: https://asmedigitalcollection.asme.org/ISPS/proceedings- pdf/ISPS2023/87219/V001T07A001/7047215/v001t07a001-isps2023-109566.pdf. 2
Semwal, V. B., Mazumdar, A., Jha, A., Gaud, N., & Bijalwan, V. (2021). Speed, cloth and pose invariant gait recognition-based person identification. In Machine learning: theoretical foundations and practical applications (pp. 39-56). Singapore: Springer Singapore.
Bijalwan, V., Kumar, V., Kumari, P., & Pascual, J. (2014). KNN based Machine Learning Approach for Text and Document Mining. International Journal of Database Theory and Application, 7(1), 61-70.
Bijalwan, V., Kumari, P., Pascual, J., & Semwal, V. B. (2014). Machine learning approach for text and document mining. arXiv preprint arXiv:1406.1580.
Anzola, J., Jiménez, A., Espada, J. P., Semwal, V. B., & Bijalwan, V. (2017). Analysis of TCP streaming over VANETs. In RICE (pp. 39-43).
Sain, M. K., Singha, J., & Bijalwan, V. (2023, May). Dynamic Hand Gesture Recognition Using mYOLO-CSRT and HGCNN for Human–Machine Interaction. In Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1 (pp. 631-642). Singapore: Springer Nature Singapore.
Malik, G.K., Nainwal, A., Amrish, Bijalwan, V., Semwal, V.B. (2023). Arm Fracture Detection Using Deep Convolution Neural Network. In: Nayak, R.K., Pradhan, M.K., Mandal, A., Davim, J.P. (eds) Recent Advances in Materials and Manufacturing Technology. ICAMMT 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-2921-4_19
Competitive Research Scheme grant by TEQIP-III , Uttarakhand Technical University, Dehradun.
CRS Grant, TEQIP-III Uttarakhand Technical University, Dehradun. India.
IN 202141028809
IN 202121024478
IN 202141016330
Excellence in the Research 2021, facilitated by the Government of Uttarakhand(Chief Minister), Uttarakhand Technical University, Uttarakhand Council of Science and Technology(UCOST) and Divya Himgiri on Teacher’s Day, 05 September 2021.
Certificate of Appreciation , Facilitated by honorable members of the Board of Governors for doing social service and different Innovative technology works for The Institute and Society during COVID-19 pandemic with full dedication.
IEEE Senior Member grade elevation in 2020.
Successfully Implemented the Technical Education Quality Improvement Programme of MHRD, and The World Bank at my previous Govt. Institute of funding 10 Crore. We had achieved all the benchmarks and got additional funding of 01 Crore.
Session Chair at ICAMMT 2022 MANIT Bhopal
Professional Development Training at IIM Tiruchirapalli.
