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Ninghang Hu, Ph.D. Top-Executive

Innovating future-proof AdTech powered by AI.

Headquarters: Amsterdam, North Holland, Netherlands
Headline: Building next-gen AdTech at Tencent | ex-McK
Followers: 3197
Connections: 3134
Company: Tencent
Company Website: https://www.tencent.com/en-us/
Skills: Business Insights, Marketing, Advertising, Pattern Recognition, Machine Learning, Artificial Intelligence, Computer Vision, Programming, Computer Science, Data Science, Data Analysis, Robotics, Data Mining, Visualization, Spark, Graphical Models, Data Modeling, Hive, Analytical Skills, C++, Matlab, Python, Linux, LaTeX, Git, SQL, Hadoop, Python (Programming Language)
Experience: Title: Director AI & AdTech Company: Tencent Location: Amsterdam, North Holland, Netherlands Start: Dec 2023 End: Present Title: Engagement Manager / Principal Data Scientist Company: McKinsey & Company Location: Amsterdam, North Holland, Netherlands Start: Mar 2018 End: Oct 2023 Title: Data Scientist - Machine Learning Company: Booking.com Location: The Randstad, Netherlands Start: Dec 2015 End: Mar 2018 Title: Intern, master thesis Company: TNO Location: The Hague, South Holland, Netherlands Start: Jan 2011 End: Oct 2011
Education: School: University of California, Berkeley Degree: Visiting Researcher Field: Period: 2015 - 2015 School: University of Amsterdam Degree: Doctor of Philosophy (Ph.D.) Field: Machine Learning and Robotics Period: 2011 - 2015 School: University of Amsterdam Degree: Master of Science Field: Artificial Intelligence Period: 2009 - 2011
Publications: Expression-Invariant Age Estimation Using Structured Learning (IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) · Jan 1, 2016) Learning to Recognize Human Activities using Soft Labels (IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) · Jan 1, 2016) Latent Hierarchical Model for Activity Recognition (IEEE Transactions on Robotics (T-RO) · Nov 1, 2015) A Hierarchical Representation for Human Activity Recognition with Noisy Labels (IEEE International Conference on Intelligent Robots and Systems (IROS) · Jan 1, 2015) Color Constancy by Deep Learning (British Machine Vision Conference (BMVC) · Jan 1, 2015) Extracting 3D Layout from a Single Image Using Global Image Structures (IEEE Transaction on Image Processing (T-IP) · Jan 1, 2015) Human Intent Forecasting Using Intrinsic Kinematic Constraints (IEEE International Conference on Intelligent Robots and Systems (IROS) · Jan 1, 2015) A Two-layered Approach to Recognize High-level Human Activities (IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) · Jan 1, 2014) Learning Latent Structure for Activity Recognition (IEEE International Conference on Robotics and Automation (ICRA) · Jan 1, 2014) Learning to Recognize Human Activities from Soft Labeled Data (Robotics: Science and Systems (RSS), UC Berkeley · Jan 1, 2014) Multi-User Identification and Efficient User Approaching by Fusing Robot and Ambient Sensors (IEEE International Conference on Robotics and Automation (ICRA) · Jan 1, 2014) Posture Recognition with a Top-view Camera (IEEE International Conference on Intelligent Robots and Systems (IROS) · Jun 1, 2013) Assistive Technology Design and Development for Acceptable Robotics Companions for Ageing Years (Paladyn, Journal of Behavioral Robotics · Jan 1, 2013) Bayesian fusion of ceiling mounted camera and laser range finder on a mobile robot for people detection and localization (IROS workshop on Human Behavior Understanding · Jul 1, 2012) Tracking Individuals in Surveillance Video of a High-density Crowd (SPIE, vol. 8399 · Apr 24, 2012) Veto-Consensus Multiple Kernel Learning (AAAI 2016)
Awards: Inspirational Leadership Award - Employee of the year | Issued by McKinsey & Company | Jan 2019
Country: Netherlands