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PROFILE:

 

Deokwoo "Doug" Jung

Deokwoo "Doug" Jung is a senior technical staff member in the System Sciences Laboratory. His focus is on machine learning algorithms for self-aware and self-healing cyber physical systems.

Doug’s research interest broadly lies in machine learning, inference, signal processing, and optimization for large-scale intelligent IoT (sensor) systems. He is currently developing a data analytics algorithm using various recent deep neural network methods (optimal combinations of RNN-LSTM/GRU, CNN, GAN, and VAE with parametrization trick combined with Bayesian inference methods) for industrial IoT solutions, specifically Condition-based Monitoring (CBM) or Predictive Maintenance (PdM).

Prior to joining PARC, Doug worked on developing data analytics systems, inference algorithms and a mathematical framework for better optimization of energy consumption in the smart grid via data-driven demand response at Advanced Digital Sciences Center (ADSC), a Singapore-based research institute of the University of Illinois at Urbana-Champaign.  He also has years of industry experiences in developing intelligent IoT sensor systems and platforms as a project lead, system architect, and data scientist at the corporate R&D center of SK Telecom in Seoul, South Korea.

Dr. Jung earned his Ph.D. from Yale University and M.S from University of Michigan, Ann Arbor, both in Electrical and Computer Engineering, and a B.S. in Radio Communication Engineering from Yonsei University in Seoul, South Korea.

 

 

 

 

 

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