Sabyasachi Biswas
Papers
1
Total Citations
31
H-Index
1
About
Sabyasachi Biswas is a researcher at the forefront of applying artificial intelligence and robotics to real-world environmental challenges. His primary research areas include deep learning, object detection, and autonomous mobile robotics, with a strong focus on developing intelligent systems for waste management and sustainability. Biswas’s most notable contribution is his pioneering work on an autonomous trash collector that leverages deep neural networks to detect and collect non-biodegradable waste from the ground, offering a scalable, AI-driven solution to the growing problem of improper waste disposal. This highly cited paper (31 citations) has inspired further research into robotic environmental cleanup and smart city applications. Biswas’s work demonstrates a compelling integration of computer vision and robotics, showcasing how deep learning can empower machines to interact with and improve the physical world. His research not only advances the field of autonomous systems but also provides a practical, deployable technology for tackling urban pollution, making him a key voice in the intersection of AI and environmental engineering.
Research Focus
Key Achievements
Top Papers
- 1