Papers
3
Total Citations
20
H-Index
3
About
Dr. Mingyan Li is a pioneering researcher at the intersection of nuclear security and advanced robotics, whose work bridges two seemingly disparate fields with remarkable impact. Her primary research areas encompass nuclear and radiological materials transport security, event-driven tactile sensing, and data augmentation for event-based vision systems. Dr. Li’s most significant contribution lies in her comprehensive review of advanced manufacturing technologies for enhancing nuclear security, which has garnered 10 citations and established a foundational framework for integrating additive manufacturing and smart materials into radiological transport protocols. In robotics, she has made groundbreaking advances with her development of dense spiking graph neural networks for event-driven tactile sensing, achieving 5 citations by enabling robots to process touch with unprecedented temporal resolution and energy efficiency. Her innovative work on EventAugment, a learning augmentation policy for asynchronous event-based data, has also earned 5 citations, addressing a critical gap in deep learning for non-frame-based sensory inputs. Dr. Li’s unique ability to synthesize high-stakes security applications with cutting-edge neuromorphic computing positions her as a transformative figure in both fields, with her research promising to redefine safety protocols in nuclear transport while advancing the frontiers of robotic perception.
Research Focus
Key Achievements
Top Papers
- 1
- 2Event-Driven Tactile Sensing With Dense Spiking Graph Neural Networks5 citations · 2025
- 3