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I am a PhD and software engineer who is passionate about turning challenges into opportunities with inspired data. My research focuses on applying machine learning techniques to improve big data management systems, especially in spatial databases
Microsoft
View- Website:
- microsoft.com
- Employees:
- 10
- Company phone:
- 0124 415 8000
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Applied ScientistMicrosoft Aug 2021 - PresentRedmond, Washington, Us -
Research AssistantUniversity Of California, Riverside Sep 2016 - Jun 2021Riverside, Ca, Us* Spatial Partitioning using Deep Learning: utilize the power of deep learning to build a model that can predict the best partitioning technique for a given spatial dataset.* Query Optimization using Deep Learning: explore the capabilities of deep learning in the context of query optimization.* Indexing Techniques for Big Spatial Data: build a big data management system which fully supports spatial data processing. -
Teaching AssistantUniversity Of California, Riverside Sep 2017 - Jun 2020Riverside, Ca, Us* CS 014 - Introduction to Data Structures and Algorithms (Fall 2017, Summer 2018): CS 014 introduces the students to the fundamental data structures and algorithmic analysis techniques such as lists, stacks, queues, search trees, sorting algorithms, hash tables, and graphs.* CS 141 - Intermediate Data Structures and Algorithms (Winter 2018, Spring 2018): CS 141 provides the basic background for a computer scientist in the area of data structures and algorithms. During this course, students will learn problem solving skills, how to compare them, and how to apply them in real problems.* CS 218 - Design and Analysis of Algorithms (Fall 2018): Study of efficient data structures and algorithms for solving problems from a variety of areas such as sorting, searching, selection, linear algebra, graph theory, and computational geometry. Worst-case and average-case analysis using recurrence relations, generating functions, upper and lower bounds, and other methods.* CS 167 - Introduction to Big Data (Spring 2020): CS 167 covers the data management and systems aspects of big data platforms such as Hadoop, Spark, and AsterixDB. In this course, you will learn how the data is stored in a distributed file system and how the queries run in parallel. -
Software Engineer InternMicrosoft Jun 2020 - Sep 2020Redmond, Washington, UsMicrosoft AI & Research -
Software Engineer InternMicrosoft Sep 2019 - Dec 2019Redmond, Washington, UsMicrosoft AI & Research -
Software Development Engineer InternEsri Jun 2019 - Sep 2019Redlands, Ca, UsWork at ArcGIS GeoDatabase group.Win the 2nd Place and Best Presentation Award at ESRI Intern Hackathon. -
Data EngineerVng Corporation Apr 2014 - Jul 2016Ho Chi Minh, Ho Chi Minh City, VnWorked at R&D division, developed a database system for the largest online game service at Vietnam with 5 million customers. -
Project LeaderOrca Group May 2012 - Oct 2012A project of Nokia Tap That App program which build 2 mobile games for Windows Phone platform. Links in Windows Phone Store:* Fear Forest: http://www.windowsphone.com/en-us/store/app/fear-forest/591f4d83-df1b-4afa-b495-7032c787e536* Hexagon: http://www.windowsphone.com/en-us/store/app/hexagon/4d5272b2-7869-4794-94ae-d25a3556ae23Official site: http://orcateamvn.blogspot.comI wrote the proposal, designed game play, then built a great team of 6 members.
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Research AssistantMimas Research Group Apr 2010 - Jul 2012Research in BCI (Brain-Computer interface). * Develope a machine learning system to detect human emotion based on EEG signal.* Improve quanlity of EEG signal by component analysis algorithms (ICA, PCA).
Tin Vu Skills
Tin Vu Education Details
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University Of California, RiversideComputer Science -
Hanoi University Of Science And TechnologyComputer Science
Frequently Asked Questions about Tin Vu
What company does Tin Vu work for?
Tin Vu works for Microsoft
What is Tin Vu's role at the current company?
Tin Vu's current role is Applied Scientist at Microsoft.
What is Tin Vu's email address?
Tin Vu's email address is ti****@****ail.com
What schools did Tin Vu attend?
Tin Vu attended University Of California, Riverside, Hanoi University Of Science And Technology.
What skills is Tin Vu known for?
Tin Vu has skills like C#, Java, C++, Objective C, Software Engineering, Algorithms, Linux, Mysql, Python, Php, Programming, C.
Who are Tin Vu's colleagues?
Tin Vu's colleagues are Atharv Bhandare, Paul Dorsch, Han Wang, Jeff Mir, Ishika Semwal, Adam Mostafa, Philip Fry.
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