Timothy Zhu

Timothy Zhu is an Associate Professor in Computer Science and Engineering, focusing on distributed systems and cloud computing technologies. His research explores tail latency optimization, resource management in heterogeneous environments, and sustainable computing practices.

• Current PI for NSF DESC: Extending machine lifetimes to repurpose e-waste
• Lead investigator for NSF CAREER: Auto-generated experimentation for performance diagnosis
• Principal Investigator for NSF CNS Core: Tail latency reduction through system heterogeneity

Research trends show emphasis on:

• Latency Management: Tail latency SLOs, admission control, and performance profiling
• Cloud Efficiency: Autoscaling algorithms, workload characterization, and cost optimization
• Hardware-aware Systems: DNN performance estimation, SmartNIC utilization, and heterogeneous server architectures

Collaborative efforts span institutions including:

• Co-authorships with researchers at Carnegie Mellon University (CMU)
• Joint projects with Pennsylvania State University (Penn State) collaborators like Anand Sivasubramaniam