Thông tin người hướng dẫn
TS. Nguyễn Xuân Hà (Canada)
Ha X. Nguyen received the B.Eng. degree from Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam, in 2003, the M.Sc. degree from Korea Advanced Institute of Science and Technology, Daejeon, Korea, in 2007, and the Ph.D. degree from the University of Saskatchewan, Saskatoon, SK, Canada, in 2011. From 2012 to 2016, he joined Complex System Inc., Calgary, AB to develop and implement a computer-vision-based human behavior recognition system. Then he joined Wiivv Wearable Inc., Vancouver, BC for one year to develop algorithms to generate arch curves and foot length using images taken from mobile devices so a custom-fit insole/sandal can be designed and made. Currently he is at Ambyint Inc. as a Data Scientist. He builds different artificial intelligence models for automation and optimization in oil and gas field. His research interests span the areas of artificial intelligence, Internet of Things, computer vision and big data.
TS. Vũ Quang Hiếu (Vietnam)
Dr. Quang Hieu Vu is currently Head of Data Science at Zalora. He obtained his PhD degree from the Singapore-MIT Alliance in 2008. Before joining Zalora, he worked respectively at National University of Singapore, Imperial College London, Institute for Infocomm Research, and Etisalat British Telecoms Innovation Center. He has experience across several domains from Peer-to-Peer, Cloud Computing and Data Stream Processing to Network Security, Optimization and Data Science. He has published more than 50 scientific papers in the top conferences and journals, has a book published by Springer-Verlag and a patent filed in the US.
TS. Tran Vu Khanh (Vietnam)
He is a mathematician and an AI expert. He had worked for the University of Padova (Italy), Tan Tao University (Vietnam) and the National University of Singapore (Singapore), University of Wollongong (Australia) as a Vice-Chancellor’s Research Fellow/ARC DECRA Fellow. He currently works at Tan Tao University (Vietnam).
TS. Trần Anh Tuấn (Vietnam)
Tran Tuan received M.Sc. degree in Department of Mathematics and Informatics from HCMC University of Science, Vietnam, in 2010. In 2014, he received Doctorate diploma in Department of Electronics and Computer Engineering, Chonnam National University, Korea. Now, Dr Tran Tuan is a lecturer and data scientist in the university of science, Ho Chi Minh city, Vietnam. Besides, he has experience in the role of advisor for Computer Vision and Data Science projects of FPT Software, DMSpro and PNJ company. His major research interests are on Data Science (Machine Learning & Data Mining), and Computer Vision (Medical Image Processing, Object Tracking, and Deep Learning). His programming skills are R, Python, .Net, Javascript and PHP languages.
TS. Tho Quan (Lecturer, Ho Chi Minh University of Technology, Vietnam)
Dr. Quan Thanh Tho is an Associate Professor in the Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam. He received his B.Eng. degree in Information Technology from HCMUT in 1998 and received Ph.D degree in 2006 from Nanyang Technological University, Singapore. His current research interests include formal methods, program analysis/verification, the Semantic Web, machine learning/data mining and intelligent systems. Currently, he heads the Department of Software Engineering of the Faculty. He is also serving as the Chair of Computer Science Program (undergraduate level).
TS. Duy Tin Vo (Data Scientist, Chata.ai, Canada)
Dr. Duy Tin Vo is a data scientist at Chata.ai. I obtained the PhD degree in Computer Science at Singapore University of Technology and Design (SUTD) in September 2017 and then went to Laval University to work as a postdoctoral researcher. Before joining SUTD, I worked as a lecturer at Cantho University. I received his undergraduate degree on Electronics and Telecommunication Engineering from Cantho University. My research interests include natural language processing (NLP), machine learning and artificial intelligence. I have been focusing on applying machine learning and deep learning into NLP, especially in sentiment analysis, E-community toxicity and text classification. During my PhD program, I must finish 05 fundamental courses where I had a chance to intensively learn and implement basic algorithms of machine learning such as Logistic Regression, Hidden Markov Model, Support Vector Machine, etc. Then, I concentrated the full energy on my research interests, where I extensively exploited cutting-edge knowledge of deep learning such as Convolutional Neural Network, Recurrent Neural Network, Long Short Term Memory, and other kinds of hybrid neural network models. Thanks to countless attempts in designing learning models and running experiments, I’ve been recognized in the field by having several publications on the top conferences in NLP (i.e. ACL, EMNLP, CICLing) and AI (i.e. AAAI, IJCAI). After graduating, I’ve been centering on deploying what I was studied into production to build efficient and accurate text classifiers such as language detection and aspect-based sentiment analysis.
Thạc sỹ Quang Duong (Canada)
Quang Duong received M.Sc. degree in Electrical Engineering from University of Saskatchewan, Saskatoon, SK, Canada, in 2018. He is currently a Data Scientist at FDM Group. He works with FDM’s clients in financial and banking industry to design, develop and test a large-scale, custom distributed software system using the latest Python, Java and Big data technologies. His research interest includes big financial data, and algorithmic trading.
TS. Cao Tiến Dũng (Vietnam)
Dr. Dung Cao received a PhD in Computer Science at University of Bordeaux, France (2010). He has BS in Mathematics and Informatics - HCMC University of Science (2002) and M.Sc in Informatics - Francophone Institute for Informatics (2007). He currently works at Tan Tao University (Vietnam) as Lecturer and Vice-Dean of School of Engineering. His research Interests: IoT, Data Science, Machine learning, Computer Vision, Service Engineering. His programming skill are: Python, Java, JavaScript.
TS. Nguyễn Phúc Sơn (Vietnam)
Dr. Son P. Nguyen obtained his PhD from Wayne State University in Detroit, Michigan, USA. He is currently the deputy Head of the mathematics department at the University of Economics and Law. He has been working on applications of bayesian statistics and data science to business and financial data. Besides, he' s collaborating with Dublin city college on a project about digital consumers.
TS. Trần Duy Hiến (Vietnam)
Ph.D., Mathematics, New Mexico State University, U.S.A.
Dr. Hien's research interests include statistical risk analysis and risk modeling for coarse data (including censored, missing, incomplete and imprecise data).
ThS. Phạm Thành Lâm (Lead Data Scientist at VNG Datalabs, Saigonapps Founder and Kaggle Master, Vietnam)
Graduated in Saint Petersburg State University (Russia) with master's degree in Mathematics and Computer Science in 2007, master of Business Information System in Heilbronn University( Germany) in 2010. He has been applying and building end to end predictive analytic/data science products in leading companies in multiple industries such as telco, fintech, software services, gaming, marketing, mobile apps. He is Kaggle master and has top solutions in qualified analytic cups such as CIKM, WSDM. He is pragmatic and passionate in Machine Learning/Deep Learning/NLP and building AI driven applications.
Phuong V. Huynh (Vietnam)
Phuong V. Huynh is a Big Data Lead in ZaloPay (a fintech product in VNG corp) and received the B.Eng. degree from University of Transport Ho Chi Minh, MBA for Information System Administrator from Ho Chi Minh City University of Technology (2014). He is responsible for building the data warehouse, ETL, Aggregation, Visualization and Data Analytic with some technologies like Hadoop, Hive, Presto, Spark, Kafka, MongoDB, clickHouse, Solr... Before ZaloPay, he worked for TMA Solutions with big data technology in different projects such as Marketing Platform which integrated with Facebook, Instagram, Blog and YouTube, Telecom System. He is working in Data and his team responses data for different departments like Finance, Marketing, Product Owner, Business Development and Technical Lead. It’s hard work but he loves this. That’s why music, write Blog are his relax in free time.
M.Sc Cường Nguyễn (Vietnam)
Cuong Nguyen is currently working as a Senior Data Scientist at Inspectorio, specializes in researching and solving the Applied AI problems such as Deep Learning, Computer Vision, NLP, Generative Modeling, Unsupervised and Recommendation. He completed Master in Computer Science at Konkuk Univ, Korea. His background is very strong in Maths, the 2nd prize in Vietnamese Math Olympiad and Olympic 30/4
