Trieu Phat Luu

Senior Staff Data Scientist, Ph.D
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A Senior Staff Data Scientist in Oil Field Services Digital of Baker Hughes. Served as Senior Research Associate at the Brain Machine Interface Lab, University of Houston, managed teams and delivered several projects with budgets exceeding $1M. More than 10 years of experience in interdisiplinary areas of machine learning, AI, and robotics. Proven ability to develop systems (hardware and software), and to communicate project's outcomes via scientific publications and oral presentations.

Education

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Nanyang Technological University

Ph.D. in Rehabilitation Robotics 2009 - 2014

Thesis: "Individual-specific Gait Pattern Planning and Locomotion Control Strategy for Robotic Gait Rehabilitation" . GPA: 4.84/5.0

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Ho Chi Minh City University of Technology

B.E. in Mechanical Engineering 2003 - 2008

Gradudated with the highest GPA in the Department (~700 students) and a gold medal.

Skills

  • AWS Certified
  • Machine Learning, Deep Learning
  • Tensorflow, Keras
  • Flask, HTML5, CSS, D3.js
  • Robotics, ROS
  • Computer Vision
  • Digital Signal Processing
  • Microcontroller Programming
  • Labview, C/C++: Advanced
  • Matlab, Python: Professional
  • Git, CI/CD, Azure DevOps
  • Strong Work Ethic
  • Effective Communication
  • Technical & Scientific Writing

Work Experiences

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Baker Hughes

Senior Staff Data Scientist Jun 2019 - Present
  • Served as a Senior Staff Data Scientist in Oil Field Services Digital division of Baker Hughes, the largest business unit with $10B+ in revenue.
  • Proposed efficient solutions to Chief Data Scientist based on the latest developments in AI technologies (e.g., representation learning, semantic segmentation, abnormality detection).
  • Collaborated with the Drillbit team to develop models for bitwear prediction. The project was funded with ~ $1M and considered as foundations for drilling advisory and automation. Pull through revenue had potential of $100M drilling services.
  • Key developer of an LSTM-VAE model to monitor bitwear in real-time. The recommendations from the AI model were validated during real-time drilling. It contributed to the extension of $300K funding from customers.
  • Led R&D developments of AI-assisted borehole image segmentation. Developed tools to label training data using PyQt5 and OpenCV. Applied MaskRCNN using Tensorflow framework for instance segmentation of borehole images.
  • Developed and launched software for detection of stable drilling zone using wavelet transform and change point detection algorithm.
  • Presented works to customers and audiences at SPE conferences.
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University of Houston

Research Associate II Jul 2017 - May 2019
  • Key technical focal point for the development of a control architecture and network comminucation (CAN bus) for a pediatric exoskeleton. Results from this project were presented at several IEEE conferences and featured on Nature magazine.
  • Developed a native app using Matlab GUI to calibrate a custom built torque sensor.
  • Designed experimental protocol and developed a system to study EMG and EEG features during walking on developing children.
  • Served as invited lecturer and delivered several presentations on "Robotics in healthcare” and "Brain-Machine interfaces"
Postdoctoral Research Fellow 2 Jun 2016 - Jul 2017
  • Managed a small team of three PhD students to develop a neural-machine interface for the control of a prosthetic leg. The project was funded by NSF with budgets excedding $1M.
  • Developed software to visualize human walking data and segment into gait cycles
  • Main author to develop software and algorithm to investigate electrocortical correlates of human walking across multiple terrains.
  • Presented work at several IEEE conferences and high-impact journals (PlosOne, Scientific Data)
Postdoctoral Research Fellow 1 Jun 2014 - Jun 2016
  • Managed a diverse team of software engineer, undergraduate, master, and PhD students to study non-invasive decoding of walking from EEG brain signals. The project was funded by NIH with budgets excedding $1M.
  • Led software development of a real-time EEG-based BCI to control a virtual walking avatar.
  • Designed experimental protocol and directly engaged with data collections from 8 healthy individuals. The multimodal physiological sensor data (i.e., EEG, EOG, kinematics) were pre-processed and published on Nature/Scientific Data.
  • The BCI-VR system showed its benefit in enhancing cortical involvement in human walking. It was also extended to several post-stroke individuals.
  • Presented the research outcomes at multiple conferences (IEEE-ICVR, IEEE-SMC) and high-impact journals (J.Neural.Engineering, Nature/Scientific Reports, Frontiers)
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Singapore Polytechnic

Research Engineer Sep 2013 - Jun 2014
  • Co-Principal Investigator of an R&D project to develop upper-limb exoskeleton for assisting the elderly in reaching and feeding tasks. The project was funded with ~700K SGD by MOE, Singapore.
  • Key contributor to the development of a 6-DOF upper extremity assistive device. Conducted mechanical and electrical/electronic design and engaged with vendors for fabrication.
  • Analyzed kinematics of reaching and grasping task on healthy adults using motion capture system and Matlab. Developed Labview program to control the robotic system
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University of Houston

Visiting Research Scholar Feb 2012 - Aug 2013
  • Designed a walking Avatar in Unity game engine. The control logic and UDP interface were implemented using C#
  • Explored EEG-based brain-computer interface for the control of the walking Avatar
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Nayang Technological University

Research Assistant Jan 2019 - Jan 2014
  • Developed a Natural and Tunable Rehabilitation Gait System (NaTUre-gaits) for neurorehabilitation in incomplete Spinal Cord Injury (iSCI) populations.
  • Conducted experimental design, data collections, and data analytics to study kinematics of human walking on 70 healthy individuals.
  • Developed a Neural Network Model to generate walking gait patterns from anthropometric data.
  • Designed an Assist-As-Needed control algorithm for the robot to monitor the level of user's intents and adjust the supports accordingly. The controller was implemented using Labview and deployed on NI hardware
  • Clinical trials on five iSCI patients at a local Tang Tock Seng hospital confirmed benefits of the system in walking assistance and reduction of manpower
  • Presented work at numerous IEEE conferences, and multiple high-impact journals.
Teaching Assistant 2010 - 2014
  • Delivered three lab courses: “characteristic of industrial motors”, “vibration of four-cylinder engine”, and “control of vibration.”
  • Served as mentor for 9 Final Year Project students
Project Officer Jun 2008 - Jan 2009
  • Developed a wearable device to measure ground reaction force during human walking.
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Intel Products Vietnam

Assembly Engineer Mar 2008 - Jun 2008

Hornor and Distinctions

Finalists for the Best Paper Award and the Shimemura Young Author Award, Asisan Control Conference, ASCC 2011
2011
Ph.D. research scholarship from Nanyang Technological University and National University of Singapore
2009
Gold Medal for the Best Student graduated with the highest GPA in Department of Mechanical Engineering, Ho Chi Minh City University of Technology, Vietnam
2008
Certificate for the Best Student in the Department of Mechanical Engineering, Ho Chi Minh City University of Technology
2007

Presentations

Oral Presentations

Bi-directional LSTM-VAE for real-time bitwear estimation. SPE/IATMI Asia Pacific Oil & Gas Conference.
09/2021
Locomotion-mode recognition via cortical dynamics from non-invasive EEG. Presented to graduate students from Baylor College of Medicine, Houston, TX.
05/2018
Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking. Invited talk, Dept. of Health and Human Performance, University of Houston, TX.
02/2018
Cortical features of locomotion-mode transitions via non-invasive EEG. IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada.
10/2017
A closed-loop brain computer interface to a virtual reality avatar: Gait adaptation to visual kinematic perturbations. International Conference on Virtual Rehabilitation, Valencia, Spain.
06/2016
On the development of an over-ground gait rehabilitation system: NaTUre-gaits. IEEE Healthcare Innovation Conference, Houston, TX.
12/2012

Poster Presentations

Brain-Machine Interface for Automated Gait Intention Detection, IUCRC BRAIN Meeting
12/2018
Development of a hybrid neural-machine interface for volitional control of a powered lower limb prosthesis. IUCRC BRAIN Meeting, Houston, TX.
05/2018
Control architecture and network communication for a pediatric exoskeleton. International Symposium on Wearable & Rehabilitation Robotics, TIRR Memorial Hermann, Houston, TX.
11/2017
Electroencephalography (EEG)-based Brain-Computer Interface to a virtual walking avatar engages cortical adaptation. Houston Methodist Neuroregeneration Symposium, TX.
03/2017
Unscented Kalman filter for neural decoding of human treadmill walking from non-invasive electroencephalography. EMBC Conference, Orlando, FL.
08/2016
Real-time closed-loop brain-computer interface to a virtual reality avatar. BRAIN meeting, Arizona State University, Tempe, AZ.
06/2016
Study of ground reaction force and center of pressure with robotic gait trainer. IEEE Healthcare Innovation Conference, Houston, TX.
12/2012

Publications

Selected Journal Articles

  1. HS Nguyen Luu, T. P.*, Tremor-Suppression Orthoses for the Upper Limb: Current Developments and Future Challenges. Frontiers in Human Neuroscience 15, 186 (2021)
  2. Sho Nakagome, Luu, T. P., Yongtian He, Akshay Sujatha Ravindran, Jose L Contreras-Vidal An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding. Scientific Reports 10 (1), 1-17 (2020)
  3. Luu, T. P., Nakagome, S., He, Y. & Contreras-Vidal, J. L. Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking. Scientific reports 7, 8895 (2017).
  4. Luu, T. P., He, Y., Brown, S., Nakagome, S. & Contreras-Vidal, J. L Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain–computer interface to a virtual reality avatar. 2016. Journal of Neural Engineering, 13, 036006.
  5. Luu, T. P., He, Y., Brown, S., Nakagome, S., Gorges, J. & Contreras-Vidal, J. L. Multi-trial Gait Adaptation of Healthy Individuals during Visual Kinematic Perturbations. 2017. Frontiers in Human Neuroscience, 11.
  6. Luu, T. P., Low, K. H., Qu, X., Lim, H. B. & Hoon, K. H An individual-specific gait pattern prediction model based on generalized regression neural networks 2014. Gait & Posture, 39, 443-448

Full List of Publications

Articles: 47
Citations: 1414
h-index: 18
i10-index: 27
https://scholar.google.com/citations?user=tHNc-NUAAAAJ&hl=en

Academic Services

  • Reviewer for journals such as Frontiers, Brain Topography, Gait & Posture, Nature/Scientific Report, Journal of Medical and Biological Engineering, Neural Networks, IEEE International Conference on Systems, Man, and Cybernetics.
  • Co-chair at IEEE EMBC conference, BMI session, 2017.
  • Editor at IEEE Journal of Translational Engineering in Health and Medicine, 2014.

Selected News Articles