I am a PhD candidate and an engineer who is passionate about turning challenges into opportunities with inspired data. My research interests include big data analytics, database management systems, query optimization, spatio-temporal database, distributed systems, storage systems, but not limited. Here is my CV
Indexing Techniques for Big Spatial Data: build a big data management system which fully supports spatial data processing. Source Code.
Query Optimization using Deep Learning: explore the capabilities of deep learning in the context of query optimization.
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.
ZingDB: developed distributed key-value store from scratch that favors availability with following features: persistent storage, memory caching, high scalability, and fault-tolerance, served as backends for 2M+ online game users.
Anomaly detection system: developed a data mining system to identify cheaters in online games. This project was applied for dozen of online game systems at VNG.
Emotion recognition system: developed a machine learning system to identify human emotion based on EEG signal.
Tin Vu, Ahmed Eldawy, Vagelis Hristidis and Vassilis Tsotras, "Incremental Indexing for Big Spatial Data", 35th IEEE International Conference in Data Engineering, Under Submission
Tin Vu and Ahmed Eldawy, "From Trees to Groves: An in-depth Study of Big Spatial Indexes", 35th IEEE International Conference in Data Engineering, Under Submission
Tin Vu and Ahmed Eldawy, "R-Grove: Growing a Family of R-trees in the Big-Data Forest", in Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018), in Seattle, WA, November 6-9, 2018
Thanh Nguyen Trung, Tin Vu, Minh Nguyen, "BFC: High performance distributed big file cloud storage based on key value store", 16th IEEE/ ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/ Distributed Computing, Takamatsu, Japan, 06/2015