Suchendra Bhandarkar

Suchendra Bhandarkar is an Adjunct Professor at the University of Georgia, affiliated with the School of Computing within the College of Engineering. His expertise spans computer vision, machine learning, and robotics. He has contributed to advancements in deep learning model compression, medical imaging analysis, and environmental monitoring systems. His work often intersects with interdisciplinary applications in agriculture, healthcare, and robotics.

Research interests include:

• Deep learning for image and video analysis
• Neural network optimization and acceleration
• Medical imaging and surgical reconstruction
• Robotics perception and autonomous systems
• Zero-shot and low-shot learning techniques

Notable trends in his recent publications (2021–2025) focus on:

• Efficient neural network architectures for edge computing
• Applications of computer vision in agriculture and environmental science
• Medical imaging for fracture detection and surgical planning
• Multi-modal data fusion for robotics and biology

His research emphasizes practical implementations in resource-constrained environments, such as mobile devices and IoT platforms.