Dr. Zhen Xie is an assistant professor in the School of Computing at Binghamton University. He is the director of Parallel Computing and Intelligent System Laboratory (PCIS Lab).
Email: zxie3(at)binghamton(dot)edu
Jiasheng earned his Bachelor's degree from the University at Albany, SUNY, and his Master's from Binghamton University, where he focused on distributed computing. Currently, he is researching in high performance computing and MLSys at PSIC Lab, especially on integrating and optimizing current LLM algorithms onto a specific AI framework (Cerebras WSE 2/3).
Email: jliang5(at)binghamton(dot)edu
Xindi Guo is a co-initiator of the VibeGEMM project. He is actively involved in the development of AI-driven agents for automated system design and optimization. His contributions span low-level kernel engineering, system performance tuning, and intelligent workflow integration.
Email: xguo10(at)binghamton(dot)edu
Alexander Li is a co-initiator of the VibeGEMM project, with a primary focus on low-level GPU kernel development. He contributes to building highly optimized kernel implementations for AI workloads, pushing performance limits through deep architectural understanding.
Email: xli49(at)binghamton(dot)edu
There are currently no undergraduate students.
While at PCIS Lab, Yash worked on accelerating deep neural network execution through advanced operator fusion, with the goal of reducing computational overhead and improving inference performance.
Email: yjawale1(at)binghamton(dot)edu
While at PCIS Lab, Pratik worked on fast and accurate factual inconsistency detection over long documents.
Email: edupveera1(at)binghamton(dot)edu
While at PCIS Lab, Ashley studied techniques for training large transformer models on heterogeneous GPU clusters.
Email: ayu62(at)binghamton(dot)edu
While at PCIS Lab, Gene explored software development and the use of AI to build practical tools.
Email: gye1(at)binghamton(dot)edu