Published 27 papers with an h-index of 11, totaling 322 citations, including 17 highly influential ones. His work covers using deep learning and neural networks to address biological problems (such as DNA classification), improving neural network efficiency, and applications in sports understanding and robot design.
Research Experience
Played key roles in multiple research projects, such as developing a convolutional network for DNA classification based on image representation; developed efficient asynchronous neural computation methods; involved in the creation of the DeepSportradar-v1 dataset for sports understanding computer vision tasks; explored efficient computation techniques in adaptive artificial spiking neural networks.
Background
Research interests span the intersection of computer science and biology, particularly in neural networks and DNA classification.