Bin Hu is an Assistant Professor in the Computer Science and Technology Department at Kean University. His research interests include mobile computing and sensing, cybersecurity and privacy, and Efficient Deep Learning. In the area of mobile and pervasive computing, his work is to enable new ways of human-computer interaction (HCI) in daily life by exploiting various sensing modalities in wireless devices. My research focuses on innovative fine-grained finger-level gesture recognition leveraging low-cost sensors. In the cyber security and privacy area, Dr. Hu explored new techniques that can authenticate people by leveraging human-unique physiological respiratory biometrics. He also proposed the TEE-based approach, an interdisciplinary research work that spans the deep learning optimization for its deployments on resource-constraint mobile devices. In the area of network transmission algorithm and robotics area, he developed a multi-nodes-based emergency rescue system used for undermining disaster, which utilizes a dedicated designed robot rescue system with a novel automatic WIFI node launch device for rescuing lives.
This material is based upon work supported by the National Science Foundation under Grant HRD-1834620 and No. 1551221. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.