Thi-Thuy-Nga Nguyen PhD student at LAAS-CNRS

Welcome

I am currently a data scientist at Torus Actions SAS.
My research position – Torus Actions SAS, Toulouse, France.

Address
Torus Actions
Equipe: SkinAI
3 Avenue Didier Daurat, 31400 Toulouse

email: ttnnguye@torus-actions.fr
website: http://www.laas.fr/ttnnguye

I graduated from the Hanoi National University of Education (Hanoi, Vietnam) in 2014 and then I got a three-year contract at Institute of Mathematic, Vietnam  academy of science and technology (VAST) as a junior researcher from 2014-2017.

From the support of Institute of Mathematics, VAST  I got a two-year scholarship from International Centre for Mathematics and Computer Science in Toulouse (CIMI) to study Applied Mathematics Master at Paul Sabatier University in 2015-2017.

I did my PhD at LAAS-CNRS in computer science and appied mathematics, in SARA team starting from October 2017. My supervisors are Balakrishna Prabhu and Olivier BRUN. I got my PhD degree in November 2020. My PhD is funded by Continental Digital Services in France (CDSF).

I am a co-founder of Torus Actions SAS which is a start-up company established in March 2019. Our objective is providing tools, algorithms and innovative systems for life.

Awards
  • 2019: Best paper award of ASMTA 2019 conference for the paper “An algorithm for improved proportional fairness of vehicular users”.
  • 2015-2017: Master Scholarship, CIMI, Toulouse, France.
  • 2014 and 2013:  Award for excellent mathematical students, National Program for the development of mathematics.
  • 2010:  Top 1 of the entrance exam to Faculty of Mathematics of HNUE.
Research Interests

During my thesis, I study Stochastic Modeling, Convex Optimization, Reinforcement Learning and Deep Learning for scheduling for moving-user systems.
I also interested in Computer Vison and its applications for healthcare.

Workshop and Talks
  1. Short term objective projected gradient for scheduling in moving vehicles with garantee PF, Workshop on Modeling and Performance evaluation of networks, ENSEEITH, Toulouse, May 2019.
  2. A benchmark by projected gradient for guaranteeing propotional fairness scheduling in celllar networks.  Fréjus Summer School on “Operation Research and Machine Learning”, Fréjus, June 2018.
  3. An application of Multi-armed bandit approach for scheduling users in moving vehicles, Workshop on Modeling and Performance evaluation of networks, ENSEEITH, Toulouse, November 2017.
Publications
  1. Thi Thuy Nga NGUYEN, Olivier BRUN, and Balakrishna PRABHU. Learning Resource Allocation Algorithms for Cellular Networks, MLN 2021.
  2. Thi Thuy Nga NGUYEN, Olivier BRUN , and Balakrishna PRABHU. Joint downlink power control and channel allocation based on a partial view of future channel conditions, RAWNET 2020.
  3. Thi Thuy Nga NGUYEN, Olivier BRUN, and Balakrishna PRABHU. An algorithm for improved proportional-fair utility for vehicular users, ASMTA 2019.
  4. Thi Thuy Nga NGUYEN, Urtzi AYESTA, and Balakrishna PRABHU. Scheduling users in drive-thru Internet: a multi-armed bandit approach, Wiopt 2019.
Preprints, Working papers
  1. Thi Thuy Nga NGUYEN, Olivier BRUN, and Balakrishna PRABHU. An algorithm for improved proportional-fair utility for vehicular users: the multiple base-stations case.
  2. Thi Thuy Nga NGUYEN, and Bich Phuong LE. Topological voting method for image segmentation.
  3. Thi Thuy Nga NGUYEN, Olivier BRUN, and Balakrishna PRABHU. A Learning-based Scheme for Channel Allocation to Vehicular Users in Wireless Networks.
Reports

Q.H. Lu, T.T.H. Nguyen, T.T.N. Nguyen, N.T. Zung, T.D. To. Skin Lesion Analysis Towards Melanoma Detection for ISIC 2018. 〈hal-01847743〉

  • Course for 11th grade and 12th grade at Hung Vuong Gifted High School (Phu Tho, Vietnam) in 2013 and 2014.
  • TD Performance Evaluation for 4th year student at INSA Toulouse in November 2018.

Python, Scilab

© 2021 Thi-Thuy-Nga Nguyen