Research Interests

Machine Learning, Deep Learning, Human Activity Recognition, Human-Computer Interaction, Computer Vision, Buisness Analytics

Research Publications

Journal Articles:

1. Lovanshi, Mayank, Vivek Tiwari, and Anurag Singh. "CPPNet: Concatenation of Parsing and Pose Network for Human Action Recognition." IEEE Transactions on Consumer Electronics (2026).

2. Tiwari, Vivek, Aditi Verma, and Mayank Lovanshi. "HPPRNet: Human parsing enabled pose refinement network for human activity recognition." Applied Soft Computing (2026): 114700.

3. Verma, Aditi, Vivek Tiwari, and Mayank Lovanshi. "SPPNet: Single-Person Human Parsing and Pose Estimation in RGB Videos." Journal of Social Computing (2025): 18-28.

4. M. Lovanshi, V. Tiwari, R. Ingle, and S. Jain, “3d skeleton-based non-autoregressive human motion prediction using encoder-decoder attention-based model,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.

5. M. Lovanshi, V. Tiwari, R. Ingle, and S. Jain, “Fusion of temporal transformer and spatial graph convolutional network for 3-d skeleton-parts-based human motion prediction,” IEEE Transactions on Human-Machine Systems, 2024.

6. M. Lovanshi and V. Tiwari, “Human skeleton pose and spatio-temporal feature-based activity recognition using st-gcn,” Multimedia Tools and Applications, vol. 83, no. 5, pp. 12 705–12 730, 2024.

7. M. Lovanshi, V. Tiwari, and S. Jain, “3d skeleton-based human motion prediction using dynamic multi-scale spatiotemporal graph recurrent neural networks,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2023.

8. M. Lovanshi and V. Tiwari, “Human part semantic segmentation using cdgnet architecture for human activity recognition,” Journal of Ravishankar University, Part-B Science, vol. 36, no. 1, 2023.

9. R. Litoriya, S. Soner, and M. Lovanshi, “Preventing road accidents caused by drunk driving using machine learning & internet of things,” Int J Adv Sci Technol, vol. 29, no. 3, pp. 11 060–11 070, 2020

10. Tiwari, V., Arshad, A., Lovanshi, M., & Shrivastava, R. (2026). RINet: an attention-based transformer with the RIT 3V benchmark for semantic role identification in human activities. Neural Computing and Applications, 38(15), 631.

11. Lovanshi, M., Das, S., & Tiwari, V. (2026). Attention-Driven Spatio-Temporal Deep Learning for Sensor-Based Human Activity Recognition Using Multi-IMU Data. IEEE Sensors Journal.

Conference Proceedings:

1. M. Lovanshi, S. Das, and V. Tiwari, “An Attention-Based Multimodal AI System for Precision Paddy Agriculture,” in 2026 IEEE 1st International Conference on Intelligent Technologies for a Sustainable and Inclusive Future, IEEE, 2026.

2. M. Lovanshi, V. Tiwari, A. Singh, and R. Ingle, “Efficient real-time human activity recognition with iot sensor data using conditionally parametrized convolutions,” in 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG), IEEE, 2024, pp. 1–6.

3. M. Lovanshi, V. Tiwari, A. Singh, and R. Ingle, “Predicting alzheimer’s disease progression and stage classification using deep learning model,” in 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP), 2024, pp. 199–204. DOI: 10.1109/TIACOMP64125.2024.00042.

4. A. Arshad, V. Tiwari, M. Lovanshi, and R. Shrivastava, “Human activity role identification using feature vector and encoding techniques on natural language sentences,” in Proceedings of the 202/ 5th International Conference on Image, Video and Signal Processing, 2023, pp. 1–9.

5. M. Lovanshi, V. Tiwari, R. Ingle, and S. Jain, “Custom cdgnet architecture for precise human part semantic segmentation,” in International Conference on soft computing for problem-solving, Springer, 2023, pp. 343 354.

6. A. Rana, K. K. S. Chauhan, S. K. Sinha, V. Tiwari, M. Lovanshi, and S. Gupta, “Benchmarking of semantic segmentation enabled human activity recognition methods,” in International Conference on Data Science and Big Data Analysis, Springer, 2023, pp. 345–355.

7. A. Verma, V. Tiwari, M. Lovanshi, and R. Shrivastava, “A human body part semantic segmentation enabled parsing for human pose estimation,” in Proceedings of the 202/ 5th International Conference on Image, Video and Signal Processing, 2023, pp. 43–50.

8. A. Arshad, V. Tiwari, M. Lovanshi, and R. Shrivastava, “Role identification from human activity videos using recurrent neural networks,” in 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), IEEE, 2022, pp. 356–361.

9. M. Lovanshi and V. Tiwari, “Human pose estimation: Benchmarking deep learning-based methods,” in 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), IEEE, 2022, pp. 1–6.

10. M. Lovanshi and P. Bansal, “Benchmarking of digital forensic tools,” in New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India, Springer, 2020, pp. 939–947.

11. M. Lovanshi and P. Bansal, “Comparative study of digital forensic tools,” in Data, Engineering and Applications: Volume 2, Springer, 2019, pp. 195–204.

Other Details

Number of Publications: 11 Journal, 18 Conference

h-index: 10, i10 index: 10,

Number of Keynote/Invited Talks Delivered: 4,

Number of Committee Memberships: 1

Office: F-205, Block-I, ABV-IIITM

Professional Experience

• Assistant Professor, ABV-IIITM Gwalior, Oct 2026–Present 
• Assistant Professor, Bennett University, June 2025–Oct 2026 
• Adjunt Assistant Professor, IIIT-Pune, Jan 2025–June 2025 

Awards and Recognitions