Faculty working in this area
| Faculty | website | |
|---|---|---|
| Jayson Boubin | jboubin@binghamton.edu | |
| Yincheng Jin | yjin5@binghamton.edu | |
| Yu (David) Liu | davidl@binghamton.edu | |
| Sujoy Sikdar | ssikdar@binghamton.edu | |
| Shiqi Zhang | zhangs@binghamton.edu |
Highlights in this area
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.
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鈥檚 daily activities; and advance health monitoring and develop new accessibility for deaf and hard-of-hearing (DHH) community.
researches programming languages and software engineering (energy-aware programming languages, energy-efficient and power-aware language runtimes, energy-aware deep neutral networks), security (formal reasoning of software/hardware interfaces) and robotics (safety and reliability of UAVs).
researches the intersection of computer science, artificial intelligence, economics and social science in understanding individual and group preferences, how preferences are aggregated in systems composed of multiple agents, and designing algorithms to make good decisions for groups of heterogeneous agents. Some examples:
- Designing fair and efficient algorithms for group decision-making problems like fair division and voting.
- Learning and modeling preferences from data.
- Understanding human behavior in a variety of social contexts including in social media streams.
researches robotics, artificial intelligence (AI) and human-robot interaction (HRI). He leads the Autonomous Intelligent Robotics (AIR) research group, whose goal is to develop intelligent mobile robots that are able to interact with people, provide services to people, and learn from this experience, in human-inhabited, collaborative environments.