Faculty working in this area
| Faculty | website | |
|---|---|---|
| Jayson Boubin | jboubin@binghamton.edu | Boubin's Group |
| Dali Ismail | dismail@binghamton.edu | Ismail's Group |
| Yincheng Jin | yjin5@binghamton.edu | Jin's Group |
| Kyoung-Don Kang | kang@binghamton.edu | Real-Time Embedded Systems Laboratory |
| Guanhua Yan | ghyan@binghamton.edu | Cybersecurity Science Laboratory |
Highlights in this area
Jayson Boubin researches the intersection of computer systems, machine learning, autonomy and robotics.
He builds complex systems which efficiently leverage new or extant machine learning,
distributed systems and robotics technologies to solve real-world problems. Specifically,
he builds fully autonomous UAV which operate in highly resource constrained environments
like crop fields, forests and remote infrastructure sites. These systems require serious
compute resources and software support, but have little power, network bandwidth or
time to spare, necessitating creative engineering solutions and completely new technologies
to properly implement.
Dali Ismail is working on developing protocols for low-power wide area networks to enable wide area IoT applications.
Yincheng Jin researches HCI, accessibility and healthcare to make people be healthier and live in more intelligent environment. Towards this vision, he develops novel machine learning models and apply them to enable human-centered AI, such as understanding human actions and people’s daily activities; and advance health monitoring and develop new accessibility for deaf and hard-of-hearing (DHH) community.
Kyoung-Don Kang explores real-time computing, encompassing areas such as real-time data management, cyber-physical systems, and the Internet of Things. He leads the Real-Time Embedded Systems (RTES) Laboratory, which is dedicated to investigating subjects such as efficient scheduling, resource management, energy efficiency, wireless sensing and control, as well as issues related to security and privacy. Additionally, the RTES lab is actively researching methods to enhance the timeliness and resource efficiency of deep learning.
Guanhua Yan is interested in cybersecurity for large-scale networked and distributed systems. He directs the Cybersecurity Science Laboratory. Along with his students, he is working on mobile network security, IoT security, malware classification, intrusion detection, AI security and safety, and critical infrastructure protection.
