Faculty working in this area
| Faculty | website | |
|---|---|---|
| Patrick H. Chen | patrickchen@binghamton.edu | Chen's Group |
| Kenneth Chiu | kchiu@binghamton.edu | Chiu's Group |
| Shiqi Zhang | zhangs@binghamton.edu | Autonomous Intelligent Robotics Group |
| Zhongfei (Mark) Zhang | zzhang@binghamton.edu | Multimedia Research Lab |
| Zhaohan Xi | zxi1@binghamton.edu | Zhaohan's website |
Highlights in this area
Patrick H. Chen focuses on the fundamental, uncertainty and efficiency aspects of machine learning.
To make models reliably applicable, his research group studies the fundamental aspects
of ML, such as factualness and robustness, and analyzes uncertainty issues in various
applications, such as continual learning. To make models more efficient for practical
usage, his research focuses on compressing machine learning models to make them deployable
on devices with limited memory, and accelerating the training and inference time of
machine learning models to meet latency requirements.
Shiqi Zhang 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.
Zhongfei (Mark) Zhang researches machine learning and artificial intelligence, data mining and knowledge discovery, multimedia indexing and retrieval, computer vision and image understanding, and pattern recognition. Accordingly, he is currently working on several projects in these areas including LLM compression, multimodal data learning, out of domain learning, learning with noise and novelty learning.
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At CRAFT Lab, our research is dedicated to developing AI agents for cross-disciplinary
scenarios, such as healthcare decision support, with a strong emphasis on responsibility,
reliability, trustworthiness, and transparency. We strive to stay at the forefront
of technological innovation while bridging the gap between advancements and real-world
implementation. Our approach integrates humans throughout the entire lifecycle of
these AI systems to ensure ethical and effective deployment. CRAFT Lab is actively
seeking new members passionate about cross-disciplinary research and responsible AI
development. Our current focus includes LLM-as-Agent frameworks, multimodality, multi-agent
systems, and LLM security. For research opportunities and potential collaborations,
please simply contact the lab director, Zhaohan Xi (email: zxi1@binghamton.edu).
