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UID:234@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20241015T163000
DTEND;TZID=America/Los_Angeles:20241015T172000
DTSTAMP:20241018T191959Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-dongfan
 g-zhao/
SUMMARY:UW Data Science Seminar: Dongfang Zhao
DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Tuesday\, O
 ctober 15th from 4:30 to 5:20 p.m. PT. The seminar will feature Dongfang Z
 hao\, an Assistant Professor of Computer Science at the University of Wash
 ington with affiliations at the UW Tacoma School of Engineering &amp\; Te
 chnology\, the Paul G. Allen School of Computer Science &amp\; Engineerin
 g\, and the eScience Institute.\n\nThe seminar will be held in the Physics
 /Astronomy Auditorium (PAA)\, Room A118 - campus map.\n\n\n&nbsp\;\n"Enha
 ncing Performance in Database Encryption and Recent Developments in Vector
  Databases"\nAbstract: The confidentiality of outsourced data\, particular
 ly in domains like financial services and healthcare\, remains a critical 
 concern for applications deployed in public cloud environments. Traditiona
 l cryptographic methods\, such as AES\, offer data protection but severely
  limit database functionalities\, reducing them to mere storage solutions 
 without the ability to execute queries on encrypted data. Homomorphic Encr
 yption (HE) emerges as a promising solution\, enabling computations direct
 ly on ciphertexts. However\, the high computational overhead of HE\, espec
 ially for data-intensive tasks\, poses a significant performance challenge
 . In this talk\, I will discuss cutting-edge optimizations aimed at minimi
 zing this performance burden in outsourced databases. I will focus on a ra
 dix-based parallel caching technique designed to accelerate encryption pro
 cesses while maintaining the security guarantees of existing HE schemes. T
 his method optimizes performance by parallelizing the caching of selected 
 radix ciphertexts. If time allows\, I will also cover recent advances in v
 ector databases\, particularly their growing role in retrieval-augmented g
 eneration (RAG) systems and large-language models (LLMs).\nBio: Dongfang Z
 hao is a tenure-track assistant professor of computer science at the Unive
 rsity of Washington (UW)\, with affiliations at the UW Tacoma School of E
 ngineering &amp\; Technology\, the Paul G. Allen School of Computer Scien
 ce &amp\; Engineering\, and the eScience Institute. His research spans ac
 ross databases\, cryptography\, high-performance computing\, and artificia
 l intelligence. Before joining UW\, he was a faculty member at UC Davis 
 and worked for multiple government and industry labs such as Pacific North
 west National Laboratory and IBM Almaden Research Center. Prior to moving 
 to the U.S.\, he studied electrical engineering\, computer science\, and m
 athematical statistics at KU Leuven\, Belgium.\n\n\nThe UW Data Science Se
 minar is an annual lecture series at the University of Washington that ho
 sts scholars working across applied areas of data science\, such as the sc
 iences\, engineering\, humanities and arts along with methodological areas
  in data science\, such as computer science\, applied math and statistics.
  Our presenters come from all domain fields and include occasional externa
 l speakers from regional partners\, governmental agencies and industry.\n&
 nbsp\;\n\nThe 2024-2025 seminars will be held in person\, and are free and
  open to the public.
LOCATION:Physics/Astronomy Auditorium\, room A118\, Seattle\, WA\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle\, WA\, ;X-APPLE-RAD
 IUS=100;X-TITLE=Physics/Astronomy Auditorium\, room A118:geo:0,0
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DTSTART:20240310T030000
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