Manh Luong

AI Resident – VinAI Research, Hanoi – Vietnam Contact: tienmanhptit1994 at gmail dot com Google Scholar: link

Research interests: Robotics, speech processing, representation learning.

Publications

• An Efficient Method for Wide Area Event Detection and Prediction Using Regression Model
  Manh Luong Tien, Ermal Elbasani, Jae Sung Choi.

• Performanceevaluationontheaccuracyof the semantic map of an autonomous robot equipped with P2P communication module. In Peer-to-Peer Networking and Application Journal, 2019
  Manh Luong Tien, YoonYoungPark, Kang-HeeJung, Se-YeobKim, Joong-EupKy.

• Incremental Learning for Autonomous Navigation of Mobile Robots based on Deep Rein-forcement Learning. In Journal of Intelligent & Robotic Systems, 2021
  Manh Luong Tien, Cuong Pham.

• Many-to-Many Voice Conversion based Disentangled Variational Autoencoder. Published at INTERSPEECH 2021
  Manh Luong Tien, Viet Anh Tran. A demo website for this project link

Undereviews

• FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis. Submitted to ICASSP 2022
  Manh Luong Tien, Viet Anh Tran. A demo website for this project link

Educations

• M.S., Computer Engineering, Sunmoon University, Asan city, Korea, Sep 2019
  Thesis: Autonomous Navigation for Mobile Robot Based on Reinforcement Learning.
  

• B.E., Computer Science, Posts and Telecommunication Institute of Technology, Hanoi city, Vietnam, May 2017
  Thesis: Human Activity Recognition based on Support Vector Machine.
  

Employments

• AI Research Resident, VinAI Research
  Project: Many-to-Many Voice Conversion.
  Mentors: Viet Anh Tran
  

• Big data engineer, VCCorp, Hanoi, Vietnam, Oct 2016 – Jul 2017
  

Communication skills:

• Vietnamese: Native

• English: C1 (IELTS 7.0)

Activities

• AIDAY 2020, Rising to the challenge, (Organizer)

• Instructor at U.S. Embassy in Hanoi, Vietnam, Nov/2019
  Get-In-Tech series: Artifial Intelligence & Machine Learning