Dr. Vijay Bhaskar Semwal
Assistant Professor
|
U.G |
Data Structure, OS, C, Fundaments of computer Programming, python, OODM, Compiler Design, AI, Data Analytics, Pattern Recognition |
|
P.G |
Deep Learning, HPC, IoT, Sensor embedded system and microcontroller |
|
Organization |
Start Date |
End Date |
Designation |
Nature of Work |
|
MANIT Bhopal |
05- Feb-2019 |
Till now |
Assistant Professor Grade-2 |
Teaching & Research |
|
NIT Rourkela |
11-June-2018 |
01-Feb-2019 |
Assistant Professor Grade-2 |
Teaching & Research |
|
IIIT Dharwad |
08-Aug-2016 |
08-June-2018 |
Assistant Professor |
Teaching & Research |
|
NIT Jamshedpur |
1 Jan-2016 |
06-Aug-2016 |
Assistant Professor |
Teaching & Research |
|
Name of the Student |
Topic |
Year of Award |
Co-Supervisor (if any) |
|
Rahul Jain |
Development of a deep learning model for a bipedal robot walk generation |
2023 |
No |
|
Anjali Gupta |
Reconstruction of occluded human gait trajectory and activity recognition to improve the lower extremity Ergonomics capability |
ongoing |
No |
|
Prathibha Tokar |
Dynamic balancing of Bipedal Robot |
ongoing |
Dr. Sweta Jain |
|
Swapnil Murari |
Human locomotion gait cycle extraction and various gait event detection for improving human experience for posture stability |
ongoing |
No |
|
Dr. Vishwanath Bijalwan |
Development of computational model for gait based activities pattern analysis and push recovery stability of bipedal locomotion |
2022 |
|
|
Project Title |
Role | Duration | Funding Agency | Total Cost | Status (Completes/ Ongoing/ Submitted) |
|
Development of Computational model for bipedal walking trajectories generation and analysis of different gait abnormality. |
PI |
3 Years (2019-2022) |
SERB, DST, India |
25 lakhs |
Ongoing |
|
Development of Heterogeneous computing model for post-injury walking pattern restoration and postural stability: Cognitive Robotics approach |
PI |
3 Years (2021-2024) |
HEFA, Ministry of Education, India |
32 lakhs |
Ongoing |
|
A preliminary approach to gait recognition & Biomechanics of gait |
C0-PI |
2 Years |
Uttarakhand technical University, Dehradoon |
2 lakhs |
Completed |
|
Title |
Sponsoring Agency |
Duration |
Amount |
Co-Investigator (if any |
|
Authors |
Title |
Journal |
VOL. NO., PAGE NO |
YEAR |
SCI/ Scopus |
IMPACT FACTOR |
|
M 6jh7,km.m.-n bntu |
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor |
Artificial Intelligence Review Springer |
55, 1149-11 69 |
2022 |
SCI |
12 |
|
Vishwanath Bijalwan, Vijay Bhaskar Semwal, TK Mandal |
Fusion of multi-sensor-based biomechanical gait analysis using vision and wearable sensor |
IEEE Sensors Journal |
21, 14213-14220 |
2022 |
SCI |
4.3 |
|
Vijay Bhaskar Semwal; Gora Chand Nandi |
Toward Developing a Computational Model for Bipedal Push Recovery–A Brief |
IEEE Sensors Journal |
15,15-16 |
2015 |
SCI |
4.3 |
|
Vijay Bhaskar Semwal; Chandan Kumar; Piyush Kumar Mishra; Gora Chand Nandi |
Design of Vector Field for Different Subphases of Gait and Regeneration of Gait Pattern |
IEEE Transactions on Automation Science and Engineering |
15, 104-110 |
2018 |
SCI |
5.6 |
|
VB Semwal, R Jain, P Maheshwari, S Khatwani |
Gait reference trajectory generation at different walking speeds using LSTM and CNN |
Multimedia Tools and Applications |
82, 1-19 |
2023 |
SCI |
3.6 |
|
Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal |
Multi-input CNN-GRU based human activity recognition using wearable sensors |
Computing, Springer |
103, 1461-1478 |
2021 |
SCI |
3.7 |
|
VB Semwal, P Lalwani, MK Mishra, V Bijalwan, JS Chadha |
An optimized feature selection using bio-geography optimization technique for human walking activities recognition |
Computing, Springer |
103, 2893-2914 |
2021 |
SCI |
3.7 |
|
Jain, Rahul, and Vijay Bhaskar Semwal. |
A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors |
IEEE Sensors Journal |
23, 22943-22951 |
2022 |
SCI |
4.3 |
|
Challa, Sravan Kumar, Vijay Bhaskar Semwal. |
An Optimized-LSTM and RGB-D Sensor-Based Human Gait Trajectory Generator for Bipedal Robot Walking. |
IEEE Sensors Journal |
24, 24352-24363. |
2022 |
SCI |
4.3 |
|
VB Semwal, K Mondal, GC Nandi |
Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach |
Neural Computing and Applications |
28, 565-574 |
2017 |
SCI |
6.0 |
|
Vijay Bhaskar Semwal, Manish Raj, Gora Chand Nandi |
Biometric gait identification based on a multilayer perceptron |
Robotics and Autonomous Systems |
65, 65-75 |
2015 |
SCI |
4.3 |
|
Vijay Bhaskar Semwal, Shiv A Katiyar, Rupak Chakraborty, Gora Chand Nandi |
Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata |
Robotics and Autonomous Systems |
70, 181-190 |
2016 |
SCI |
4.3 |
|
Vijay Bhaskar Semwal, Pavan Chakraborty, Gora Chand Nandi |
Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery |
Robotics and Autonomous Systems |
63, 122-135 |
2015 |
SCI |
4.3 |
|
Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal |
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data |
The Visual Computer |
38, 4095-4109 |
2022 |
SCI |
3.5 |
|
VB Semwal, GC Nandi
|
Generation of joint trajectories using hybrid automate-based model: a rocking block-based approach
|
IEEE Sensors Journal |
16 (14), 5805-5816 |
2016 |
SCI |
4.3 |
|
VB Semwal, Y Kim, V Bijalwan, A Verma, G Singh, N Gaud, H Baek, ...
|
Development of the LSTM Model and Universal Polynomial Equation for all the Sub-phases of Human Gait.
|
IEEE Sensors Journal |
|
2023 |
SCI |
4.3 |
|
A Gupta, VB Semwal
|
Occluded Gait reconstruction in multi person Gait environment using different numerical methods |
Multimedia Tools and Applications |
81 (16), 23421-23448 |
2022 |
SCI |
3.6 |
|
Vijay Bhaskar Semwal, Joyeeta Singha, Pinki Kumari Sharma, Arun Chauhan, Basudeba Behera |
An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification |
Multimedia Tools and Applications |
76, 24457-24475 |
2017 |
SCI |
3.6 |
|
N Dua, SN Singh, VB Semwal, SK Challa |
Inception inspired CNN-GRU hybrid network for human activity recognition |
Multimedia Tools and Applications |
82, 5369-5403 |
2023 |
SCI |
3.6 |
|
Vijay Bhaskar Semwal, Anjali Gupta, Praveen Lalwani |
An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition |
The Journal of Supercomputing |
77, 12256-12279 |
2021 |
SCI |
3.3 |
|
VB Semwal, GC Nandi |
Generation of joint trajectories using hybrid automate-based model: a rocking block-based approach |
IEEE Sensors Journal |
16, 5805-5816 |
2016 |
SCI |
4.3 |
|
R Jain, VB Semwal, P Kaushik
|
Stride segmentation of inertial sensor data using statistical methods for different walking activities |
Robotica |
40, 2567-2580 |
2022 |
SCI |
2.7 |
|
R Jain, VB Semwal, P Kaushik |
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors |
Expert System |
39, |
2021 |
SCI |
3.3 |
|
V Bijalwan, VB Semwal, G Singh, RG Crespo
|
Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition
|
Expert System |
39 (6), e12706 |
2022 |
SCI |
3.3 |
|
Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi |
Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach |
Neural Computing and Applications |
30, 1747-1755 |
2018 |
SCI |
6 |
|
V Bijalwan, VB Semwal, G Singh, TK Mandal
|
HDL-PSR: Modelling spatio-temporal features using hybrid deep learning approach for post-stroke rehabilitation
|
Neural Processing Letters |
55 (1), 279-298 |
2023 |
SCI |
3.1 |
|
Title |
Year |
Agency |
Co-Investigator(if any) |
Published/Granted |
|
|
h-index |
i-10 index |
Total Citations |
|
Google Scholar |
31 |
47 |
2510 |
|
Vidwan Profile |
21 |
- |
1122 |
