Atanu Shuvam Roy

Atanu Shuvam Roy is a highly skilled Computer Science and Engineering professional with a Master of Technology from the Indian Institute of Technology, Kanpur (2022-2024), and a Bachelor of Engineering from Jiangxi University of Science & Technology (2018-2022). His extensive research experience at the IoT Vision Lab at IIT Kanpur and the Robotics and Automation Research Lab (RARL) focuses on Deep Learning, Computer Vision, IoT, and Robotics. His key achievement includes optimizing YOLOv7 by integrating the Efficient Channel Attention (ECA) mechanism to detect water pipeline defects for the Government of India's Jal Jeevan Mission project , successfully reducing the model's parameters by 20%. He has also developed a streetlight management system using FMCW RADAR and LoRaWAN which served as a prototype for RADAR based object detection. He has been working on energy-aware AGV path planning in recent times. He supplements his research background with industry experience as a Web Developer & DevOps Engineer at Backend Ace and an Associate Web Developer at Wizzartech. He is a prolific contributor, credited with 12 publications in venues like IEEE Access and VISAPP 2024 , and is proficient in Python, JavaScript (NodeJS/ReactJS), PyTorch, and Flutter.

Master of Technology (MTech) in Computer Science & Engineering
Indian Institute of Technology Kanpur

Embedded Systems, Robotics & Automation, Computer Vision, Internet of Things (IoT), Automated Guided Vehicles.

Recent Projects

• Energy aware automated guided vehicle (AGV) priority based shortest path planning. 
• Sentiment Analysis and Visualizations of Bengali Singers and their songs.
• Robot Assistant X Your Personal ChatBot.
• ECA Mechanism based object detection model to detect water pipeline defects (Jal-Jeevan Mission).
• Welding Defect Detection using Improved YOLOv7 Model.
• Automated Guided Vehicle (AGV) Path Tracking.
• Activity Recognition Application using LSTM.
• Smart Parking System.

Awards

• MHRD Fellowship, IIT Kanpur (2022-2024).
• Outstanding International Graduate Award, Jiangxi University of Science & Technology (2022).
• 2nd Position (Provincial) & 3rd Position (National) in the 14th China University Computer Design Competition (2021) .
• Jiangxi Provincial Government Scholarship for foreign students, China (2019 & 2020).

Moshayedi, A. J., Roy, A. S., Ghorbani, H., Lotfi, H., Zhang, X., Liao, L., & Gheisari, M. (2024). A novel IoT-enabled portable, secure automatic self-lecture attendance system: Design, development and comparison. International Journal of Electronic Security and Digital Forensics, 16(6), 663–689.

Roy, A. S., & Das, A. (2024). Advanced path tracking and traffic management using IR sensors and timed automata. Journal of Robotics Research (JRR), 1(1), 15–23.

1. Moshayedi, A. J., Roy, A. S., Liao, L., Khan, A. S., Kolahdooz, A., & Eftekhari, A. (2024). Design and development of FOODIEBOT robot: From simulation to design. IEEE Access.
2. Moshayedi, A. J., Roy, A. S., Taravet, A., Liao, L., Wu, J., & Gheisari, M. (2023). A secure traffic police remote sensing approach via a deep learning-based low-altitude vehicle speed detector through UAVs in smart cities: Algorithm, implementation and evaluation. Future Transportation, 3(1), 189–209.
3. Moshayedi, A. J. M., Roy, A. S., Lan, H., Gheisari, M., & Bamakan, S. M. H. (2022). Automation attendance systems approaches: A practical review. BOHR International Journal of IoT, AI and ML, 1(1), 25–34.
4. Moshayedi, A. J., Kolahdooz, A., Roy, A. S., Sambo, S. K., Zhong, Y., & Liao, L. (2022). Review on: The service robot mathematical model. EAI Endorsed Transactions on AI and Robotics, 1(1).
5. Moshayedi, A. S., Roy, A. S., Kolahdooz, A., & Shuxin, Y. (2022). Deep learning application pros and cons over algorithm. EAI Endorsed Transactions on AI and Robotics, 1(1).
6. Moshayedi, A. S., Roy, A. S., & Liao, L. (2019). PID tuning method on AGV (automated guided vehicle) industrial robot. Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 12(4), 53–66.

1. Moshayedi, A. J., Roy, A. S., Khan, Z. A., & Yang, S. (2025). UrbanPark: Advancing parking infrastructure with LoRaWAN enabled smart parking modules. In 4th International Conference on Computing and Information Technology (ICCIT).
2. Roy, A. S., & Bagade, P. (2024). Attentive-YOLO: On-site water pipeline inspection using efficient channel attention and reduced ELAN-based YOLOv7. In VISAPP 2024.
3. Moshayedi, A. J., Kolahdooz, A., Roy, A. S., Rostami, S. A. L., & Xie, X. (2022). Design and promotion of cost-effective IoT-based heart rate monitoring. In CICA 2022 (Vol. 12303, pp. 405–410).
4. Moshayedi, A. S., Roy, A. S., Liao, L., & Li, S. Y. (2019). Raspberry Pi SCADA zonal based system for agricultural plant monitoring. In ICISCE 2019 (pp. 427–433). IEEE.