Tao Liu, Ph.D.

Director, Technical Operations at Telaria
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Contact Information
us****@****om
(386) 825-5501
Location
Brooklyn, New York, United States, US

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Experience

    • United States
    • Advertising Services
    • 1 - 100 Employee
    • Director, Technical Operations
      • Jul 2014 - Present

      - Lead technical onboarding and optimization strategies for increasing publisher revenue. - Evaluated, selected, and integrated vendor technologies to Tremor’s video advertising platform, e.g., DSPs (e.g. Google DBM), SSPs (e.g., Spotx), DMPs (e.g., BlueKai), and cross-device audience association (e.g., CrossWise), and fraud/viewability detection (e.g., MOAT) technologies. - Lead technical onboarding and optimization strategies for increasing publisher revenue. - Evaluated, selected, and integrated vendor technologies to Tremor’s video advertising platform, e.g., DSPs (e.g. Google DBM), SSPs (e.g., Spotx), DMPs (e.g., BlueKai), and cross-device audience association (e.g., CrossWise), and fraud/viewability detection (e.g., MOAT) technologies.

    • United States
    • Internet Publishing
    • 1 - 100 Employee
    • Technical Services Manager
      • Apr 2013 - Jul 2014

      - Served as member of a small internal "consulting"​ and training team for internal and client-facing technical matters across all Adap.tv's platform components, e.g., ad server, marketplace, SSP, and DMP. - Co-chaired the company's mobile task force and drove the improvement of mobile product and business offerings. - Troubleshot highest tiered technical issues escalated from internal/external customers; supervised/coached Tier 1 and 2 tech support team.- Improved product usability/value by studying and addressing clients'​ technical needs and provided guidance of building new product features. - Delivered technical customization services on top of platform's API.

    • Telecommunications
    • 100 - 200 Employee
    • Member of Technical Staff
      • Oct 2009 - Jul 2012

      - Researched, designed, and built real-time analytic solutions of quality monitoring and content identification for H.264/MPEG2/MPEG4 video.- Led the R&D projects of advanced light-weighted image/video quality evaluation and content recognition/identification/tracking algorithms.- Represented the company and prompted its visibility by hosting/participating in international standardization meetings and workshops.- Prepared dozens of technical documents for internal and external publications, and secured 5+ intellectual properties.

    • Higher Education
    • 700 & Above Employee
    • Research/Teaching Assitant
      • Sep 2004 - Dec 2009

      - Performed researches in image/video processing and analyzing field, especially in video quality evaluation and enhancement area.- Published 10+ technical papers in leading international conferences and journals. - Led team of graduate assistants for research activities.- Assisted teaching of two graduate-level multimedia courses. - Performed researches in image/video processing and analyzing field, especially in video quality evaluation and enhancement area.- Published 10+ technical papers in leading international conferences and journals. - Led team of graduate assistants for research activities.- Assisted teaching of two graduate-level multimedia courses.

    • United States
    • Telecommunications
    • 700 & Above Employee
    • Intern Researcher
      • May 2009 - Aug 2009

      - Developed an advanced multimedia identification and retrieval system, whose performance was ranked 1st out of 50+ competing submissions in '09 TRECVID international campaign.- Analyzed, indexed and retrieved 2000+ query video clips, subject to various transformations (e.g. scaling, Gaussian noise and blur, encoding artifact, and texture pattern insertion), from 400+ hours test video collection, by extracting both local and global video features. - Developed an advanced multimedia identification and retrieval system, whose performance was ranked 1st out of 50+ competing submissions in '09 TRECVID international campaign.- Analyzed, indexed and retrieved 2000+ query video clips, subject to various transformations (e.g. scaling, Gaussian noise and blur, encoding artifact, and texture pattern insertion), from 400+ hours test video collection, by extracting both local and global video features.

    • United States
    • Entertainment Providers
    • 700 & Above Employee
    • Intern Researcher/Research Assistant
      • Jul 2005 - Dec 2008

      - Developed a novel perceived video quality model considering both coding and packet-loss artifacts for low-resolution and low bit-rate videos, coded in H.264 video standard, with packet losses in 3G wireless networks.- Analyzed and modeled human visual perception properties, e.g. masking effect and lamination adaptation, on images and videos, and integrated them into perceptual quality metric, which brought about 40% improvement over traditional methods. - Performed various subjective video quality evaluation experiments.

Education

  • New York University
    Ph.D., Electrical and Computer Engineering
    2004 - 2009

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