I am a PhD student and an engineer who is passionate about turning challenges into opportunities with inspired data. My research interests include big data analytics, database management systems, spatio - temporal database, distributed systems, storage systems, but not limited. Here is my CV
Dynamic Indexes for Big Spatial Data: build a big data management system which fully supports spatial data processing. My research provides a solution to leverage the cost of data preprocessing with query performance. Source Code.
Hybrid System for Heterogeneous Big Data Processing: build a platform - agnostic, extensible and high - performance system for big data analytics. My research frees users from complicated data processing engines so that they only need to focus on their business logics.
CS 014 - Introduction to Data Structures and Algorithms (Fall 2017): 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): 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.
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.
Thanh Nguyen Trung, Tin Vu Khac, Minh Nguyen, "BFC: High performance distributed big file cloud storage based on key value store"