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Experiences
Research Assistant, New Jersey Institute of Technology, NJ 08/2018 - 05/2023
Cooperate with Qualcomm to create personalized, quantized, and privacy-preserving federated learning mechanisms for mobile devices
Cooperate with NSF, University of Oregon, and Adobe to prove theories, implement, and conduct experiments for Trustworthiness in Machine Learning and Deep Learning using Python
Financed by Wells Fargo to create a drug abuse ontology and a financial ontology using Protege
Machine Learning Research Intern, Adobe, CA, 01/2020 - 01/2021
Explored the research frontiers in applying state of art deep learning and AI methods in Document Understanding and Intelligent Document Agent
Investigated the feasibility of applying scientific principles and concepts to inventions/products
Built rapid research experiments and proof-of-concepts and participate in patent applications
Qualcomm Inc., SD 02/2020 - 05/2023
Collaborated in Project: Detecting Human Behaviors from Smartphones using Federated Machine Learning in the Wild
Built real-world federated machine learning on mobile devices with novel privacy-preserving mechanisms and diverse deep learning models
Developed adaptive quantization on different model architectures for federated learning
Research Assistant, Oregon State University, OR 09/2015 - 06/2018
Collaborated with NSF and University of Texas to generate a Symmetric Multiple instance learning framework for histopathological image analysis using Matlab for reducing manual annotation
Cooperated with NSF and Dept. of Botany & Plant Pathology to develop a Convolutive-based matrix decomposition framework and conduct experiments in plant transcripts using Matlab
Developed a forward-backward dynamic programming using Matlab for efficient model learning
Research Assistant, Nanyang Technology University, Singapore 06/2013 - 01/2014
Simulated and conducted experiments about the effects of thermal, mechanical, and material changes on wafer bonding in 3D IC using Comsol simulation
Research Assistant, Danag University of Technology, Vietnam 09/2010 - 08/2015
Developed machine learning techniques, i.e., Hidden Markov and Gaussian mixture model, for a surveillance system using Matlab to detect falling actions and then make alarms for the elderly
Designed digital filters using Matlab and analog filters in a Wireless ECK monitor system
Internship, Danang International Airport, Vietnam, 08/2012 - 01/2013
Awards and Honors
IEEE BigData 2022 student travel award to attend the IEEE BigData 2022 conference, Japan 12/2022
NSF travel award to NSF CBL Semiannual Meeting in Gainesville, FL 10/2019
Six-month research scholarship at School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore 06/2013 - 01/2014
3rd prize (Nation-level round) and 2nd prize (Region-level round) at Vietnam Universities and Texas Instruments Microcontroller Design Contest 12/2012
Sunflower Mission scholarship from Texas Instruments company, USA 12/2012
Scholarships from Takemoto Denki and Ikeshita Japan companies for Outstanding DUT students 12/2010
Recent Talks
Services
Conference and Journal Reviewer: AAAI 2022, ICLR 2022, IEEE JDSA 2022, IEEE JOCO 2022, WWW 2022, BigData 2021, ICML 2021, NeurIPS 2021, SIGIR 2021, ICMLA 2020, ICKM 2019, JBHI 2018, MLSP 2017
Publication Chair of Trustworthy Federated Machine Learning Workshop, ICDM, 2022
Research member of NSF Center for Big Learning, 09/2018 - Present
Social Activities: Organization member of The 2022 Annual Conference Vietnamese Scientists and Engineers Network in the U.S, VEF 2.0, August 19-21, San Diego, CA, 2022
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