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Profile

Siwei Lyu

PhD

Siwei Lyu.

Siwei Lyu

PhD

Siwei Lyu

PhD

Research Topics

digital media forensics; computer vision; machine learning

Biography Teaching Research Students Latest News

Students

Jialing Cai

Jialing Cai

Teaching Assistant 10 Month

1st Year PhD Candidate, advised by Siwei Lyu

Computer Science and Engineering

301A Davis Hall Desk 16

Phone: (716) 645-4768

Email: jialingc@buffalo.edu

Web: https://jialingyk.github.io/

Yu Cai

Yu Cai

Research Project Assistant

1st Year PhD Candidate, advised by Siwei Lyu

Computer Science and Engineering

301A Davis Hall Desk 09

Phone: (716) 645-4768

Email: ycai5@buffalo.edu

Soumyya Kanti Datta

Soumyya Kanti Datta

Research Project Assistant

5th Year PhD Candidate, advised by Siwei Lyu

Computer Science and Engineering

301A Davis Hall Desk 04

Phone: (716) 645-4768

Email: soumyyak@buffalo.edu

Mingzhen Huang

Mingzhen Huang

5th Year PhD Candidate, advised by Siwei Lyu

Computer Science and Engineering

301A Davis Hall Desk 12

Phone: (716) 645-4768

Email: mhuang33@buffalo.edu

Web: mingzhenhuang.com

Zhaofeng Si

Zhaofeng Si

Teaching Assistant 10 Month

4th Year PhD Candidate, advised by Siwei Lyu

Computer Science and Engineering

301A Davis Hall Desk 10

Phone: (716) 645-4768

Email: zhaofeng@buffalo.edu

Chengzhe Sun

Chengzhe Sun

Research Project Assistant

5th Year PhD Candidate, advised by Siwei Lyu

Computer Science and Engineering

301A Davis Hall Desk 13, 301A Davis Hall Desk 14

Phone: (716) 645-4768, (716) 645-4768

Email: csun22@buffalo.edu

Web: https://cse.buffalo.edu/~csun22/

Teaser
Siwei Lyu.
Siwei Lyu, PhD
PhD, Dartmouth College

313 Davis Hall

Phone: (716) 645-1587

siweilyu@buffalo.edu

SUNY Distinguished Professor
SUNY Empire Innovation Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Co-Director
Center for Information Integrity
Tags
  • Website : School of Engineering and Applied Sciences (SEAS) / SEAS homepage / Named Professors
  • Website : Collaborative Institute for Multisource Information Fusion
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Computer Vision
  • Audience : Employees / Faculty / Tenure-Track Faculty
  • Website : School of Engineering and Applied Sciences (SEAS) / Computer Science and Engineering
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Information Integrity
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Computer Security and Cryptography
  • Collection : Alphabet / L
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Artificial Intelligence, Machine Learning and Data Mining