Chuyên ngành Xác suất và Thống kê năm 2016.
Giảng viên Bộ môn Xác suất Thống kê, Khoa Toán- Cơ-Tin học, ĐHKHTN.
Có kinh nghiệm giảng dạy Xác suất Thống kê hơn 15 năm tại Đại học Quốc gia Hà Nội.
Truong Do is the CEO of Vietnam Artificial Intelligence System company (VAIS), he received his Master’s and Ph.D.’s degrees at Nara Insitute of Science and Technology, Japan, specializing in speech and natural language processing. His company is developing AI products utilizing speech and natural language processing technologies, which are currently being widely used among journalists and government departments.
Thế mạnh/năng lực:
An toàn Thông tin; Bigdata; Data Analytics; Giải pháp phần mềm cho khối Chính phủ; Thương mại điện tử
Tiểu sử:
Đào tạo Cử nhân, Thạc sỹ, Tiến sỹ đều tại trường hàng đầu LB Nga (11 năm);
Công tác tại ĐHQGHN đã 12 năm và là Trưởng phòng nghiên cứu về lĩnh vực An toàn thông tin.
Là tác giả của hàng trăm bài báo, báo cáo Hội nghị/Hội thảo khoa học, là chủ nhiệm và thành viên thực hiện nhiều đề tài cấp nhà nước, cấp bộ trong lĩnh vực công nghệ thông tin.
PROFILE
ECE professor specialized in signal and image processing, computer vision and data analysis
Technical consultant for AI companies with focusing on applied machine learning, computer vision
WORK EXPERIENCE
[Jan. 15 – Now] Lecturer/researcher, Faculty of Electronics and Telecommunications VNU – University of Engineering and Technology
[Jul18 – Sep 19] Technical Consultant, Ecovision Company, Himlam Group
[Jul17-Mar 18] Researcher R&D, VP9 Company
EDUCATION
[Dec.10 – Jul. 14] Doctor of Philosophy, University Lyon 1, University Saint Etienne, Laboratory Hubert Curient, France
[Sep.09 – Aug. 11] Master of Information System and Technology, Paris Sud 11 (PUF -IST program)
TEACHING EXPERIENCES (SELECTED COURSES for INDUSTRY)
[2019 -2020] Samsung Display Vietnam
[2017 – 2018] Computer Vision
[2019 – 2020] UET-VNU Master course
Lecturer (2012 – Now)
Lecturer in Faculty of Multimedia, Posts and Telecommunications Institute of Technology, Vietnam.
Major teaching is about: Photographic and Cinematographic Technique, Database Management.
JPEG assistance in ad-hoc group in Point Cloud, University of Technology Sydney
Database Manager (2011 – 2012)
Manager of Database System project entitled: “Cash Flow Management”, Vietnam Post, Vietnam.
Database Researcher (2009 – 2011)
Research at Institute of Information and Communication Technology CDiT, Posts and Telecommunications Institute of Technology, Vietnam
Master Degree (2007 – 2009)
Master of Information and Systems (coursework), Monash University, Australia
Bachelor Degree (2003 – 2007)
Bachelor of Science with third-class honors in Computing & Information Systems, Oxford Brookes University, England
Nguyen Thi Minh Huyen started to work on Vietnamese text processing in 2000.
She obtained the PhD degree in 2006 at the University of Nancy I, working on linguistic resources and tools for bilingual text alignment (French – Vietnamese) under the supervision of Laurent Romary, an activist in the domain of language resource management.
She is a pioneer in building shared linguistic resources and tools for Vietnamese text analysis. For several years, she has been a key member of the Vietnamese board for Language and Speech Processing (VLSP). In 2020, she became the first president of the Association for VLSP.
She has contributed to many projects for building Vietnamese lexical, syntactic and semantic resources and tools for the VLSP research community.
Since 2012, she has been organizing co-chairs of five editions of the international VLSP workshop series in Vietnam.
She is currently interested in Vietnamese semantic analysis and medical text processing. She gives courses in natural language processing for undergraduate and Master students in Computer Science, and in computational linguistics for undergraduate students in Linguistics at Vietnam National University, Hanoi.
Học viện VINASA - VINASA Academy được Hiệp hội Phần mềm & Dịch vụ CNTT Việt Nam (vinasa) thành lập nhằm huy động các nguồn lực cho công tác đào tạo và phát triển nguồn nhân lực chất lượng cao cho các doanh nghiệp nói riêng và ngành CNTT Việt Nam nói chung.