Cha Zhang: Principal Researcher at Microsoft Research - AI and Multimedia Expert

Cha Zhang - Principal Researcher at Microsoft Research

This document provides a comprehensive overview of Cha Zhang's professional profile as a Principal Researcher at Microsoft Research, focusing on his expertise in Artificial Intelligence and related fields.

Research Focus Areas:

Cha Zhang's research interests lie at the intersection of machine learning, computer graphics, and computer vision, with a particular emphasis on multimedia applications, especially in teleconferencing.

• Artificial Intelligence (AI): Exploring the application of AI techniques to enhance multimedia experiences.
• Computer Vision: Developing and applying computer vision algorithms for various multimedia tasks.
• Graphics and Multimedia: Researching advancements in graphics and multimedia technologies.
• Human-Computer Interaction (HCI): Investigating new ways for humans to interact with computers, particularly in the context of multimedia.
• Human Language Technologies: Working on technologies related to understanding and processing human language.

Key Research Areas and Projects:

• Intelligence:

  • Artificial Intelligence
  • Audio & Acoustics
  • Computer Vision
  • Graphics & Multimedia
  • Human-Computer Interaction
  • Human Language Technologies
  • Information Retrieval & Search

• Systems:

  • Data Platforms & Analytics
  • Hardware & Devices
  • Programming Languages & Software Engineering
  • Quantum Computing
  • Security, Privacy & Cryptography
  • Systems & Networking

• Theory:

  • Algorithms
  • Mathematics

• Other Sciences:

  • Ecology & Environment
  • Economics
  • Medical, Health & Genomics
  • Social Sciences
  • Technology for Emerging Markets

Professional Background and Achievements:

• Current Role: Principal Researcher in the Project MIX Group at Microsoft Research (Redmond, WA).
• Education:
  • B.S. and M.S. in Electronic Engineering from Tsinghua University, Beijing, China.
  • Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.
• Research Contributions:
  • Focus on applying machine learning and computer graphics/vision to multimedia applications, particularly teleconferencing.
  • Previous work included sampling and compression of image-based rendering data, 3D model database retrieval, active learning for database annotation, and peer-to-peer networking.
  • Authored over 40 technical papers and holds 10+ U.S. patents.
  • Received Best Paper awards at ICME 2007, a Top 10% award at MMSP 2009, and a Best Student Paper award at ICME 2010.
  • Co-authored books: "Light Field Sampling" (2006) and "Boosting-Based Face Detection and Adaptation" (2010).

Professional Activities and Editorial Roles:

• Senior Member of IEEE.
• Conference Involvement: Served in various capacities for numerous conferences, including Publicity Chair, Program Co-Chair, Steering Committee Co-Chair, Poster & Demo Chair, and TPC member for prominent events like ACM Multimedia, CVPR, ICCV, ECCV, MMSP, ICME, ICPR, ICWL.
• Editorial Roles: Associate Editor for Journal of Distance Education Technologies, IPSJ Transactions on Computer Vision and Applications, and ICST Transactions on Immersive Telecommunications. Guest Editor for Advances in Multimedia, Special Issue on Multimedia Immersive Technologies and Networking.

Contact Information:

• Email: chazhang@microsoft.com

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