Ahmet Can Sitik

Title: Ahmet Can Sitik: Innovator in Data Clustering and Clock Tree Synthesis

Introduction

Ahmet Can Sitik is a notable inventor based in Hillsboro, OR (US). He has made significant contributions to the fields of data clustering and clock tree synthesis, holding a total of 3 patents. His work focuses on developing innovative technologies that enhance data processing and efficiency.

Latest Patents

One of Sitik's latest patents is titled "Technologies for Node-Degree Based Clustering of Data Sets." This invention involves a computing device that constructs a graph with multiple vertices corresponding to data points in a dataset. The device inserts edges between vertices based on a predetermined similarity metric. It determines the node degree for each vertex and initializes a cutoff node degree. The device selects a test subset of the graph and checks if it covers the graph, adjusting the cutoff node degree as necessary to identify representative clusters.

Another significant patent is "Slew-Driven Clock Tree Synthesis." This system performs clock tree synthesis by selecting pairs and defining cost metrics that consider physical distance for efficient sink clustering. It incorporates slew and skew-aware merging point computation for routing, as well as slew and insertion slew-aware net splitting, enhancing the efficiency of clock tree designs.

Career Highlights

Ahmet Can Sitik has worked at prestigious institutions such as Drexel University and Stony Brook University. His experience in these academic environments has allowed him to collaborate with other experts in the field and contribute to groundbreaking research.

Collaborations

Throughout his career, Sitik has collaborated with notable colleagues, including Baris Taskin and Weicheng Liu. These partnerships have fostered innovation and the exchange of ideas, further advancing the fields in which he specializes.

Conclusion

Ahmet Can Sitik is a distinguished inventor whose work in data clustering and clock tree synthesis has made a significant impact on technology. His patents reflect a commitment to innovation and efficiency in data processing.