Location History:
- Milpitas, CA (US) (2015 - 2019)
- San Jose, CA (US) (2005 - 2020)
Company Filing History:
6 out of 8,682 
5 out of 17 
1 out of 14 
Years Active: 2005-2020
Title: Innovations of Alexander Hubris
Introduction
Alexander Hubris is a prominent inventor based in San Jose, California. He holds a total of 14 patents, showcasing his significant contributions to the field of technology and innovation. His work primarily focuses on advanced data compression techniques and efficient processing methods.
Latest Patents
Among his latest patents is the "Adaptive Rate Compression Hash Processor." This invention processes input files according to a hash algorithm that references sets of literals to facilitate the generation of copy-offset commands. The method identifies preceding instances by generating a hash of the literal set and looking up corresponding entries in a hash table. The hash table is accessed by placing look-up requests in a FIFO buffer, which, when full, suspends the generation of the hash chain until it is no longer full. Additionally, when repeated literals are found, the generation of the hash chain is also suspended. The hash chain is utilized to generate a command file, such as according to the LZ algorithm, where runs of consecutive literals are replaced by a run-length command. This command file can then be encoded using Huffman encoding.
Another notable patent is the "VLSI Efficient Huffman Encoding Apparatus and Method." This invention discloses a compression algorithm based on Huffman coding that is designed for easy implementation using VLSI design. It processes data files to replace duplicate data with copy commands that include an offset and length, following the LV algorithm. The Huffman code is generated for parts of the file using a novel method that does not require sorting the literal statistics beforehand. The lengths of the Huffman codes are constrained to a maximum length, and the codes are modified to ensure an acceptable overflow probability while maintaining canonical order. Literals, offsets, and lengths are encoded separately, and different values for these data sets are assigned to a limited number of bins to generate usage statistics for Huffman code generation.
Career Highlights
Throughout his career, Alexander Hubris has worked with notable companies, including Seagate Technology Incorporated and Tidal Systems, Inc. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in data processing technologies.
Collaborations
He has collaborated with talented individuals such as Yingquan Wu and Hao Zhong, further enhancing the innovative projects he has been involved in.
Conclusion
Alexander Hubris is a distinguished inventor whose work in data compression and processing has led