The Modeling, Simulation and Optimization Laboratory (MSOLab) is one of four research laboratories in the School of Information and Technology.  It was founded in 2013 and is a community of theoretical computer scientists with interests in algorithms, complexity, simulation, high-performance computing, modeling, machine learning, semantics, security, logic, and databases.

The mainspring of research in MSO Laboratory is the study of theories which underlie, or should in future underlie, the analysis and design of computing systems. Our work has a core of theoretical research and a practical component which explores application and implementation of the theory. Several research groups exist within MSOLab:

  • Algorithms and Optimization

  • High-Performance Computing

  • Data Science


     Recent publications

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Huynh Thi Thanh Binh Debabrata Samanta, Sayar Ahmad Kuchy

Big Data: Theory & Practices Book

LAP LAMBERT Academic Publishing, 2018, ISBN: ISBN 978-620-2-05953-4.


Do, Phan Thuan; Nghiem, Nguyen Viet Dung ; Nguyen, Ngoc Quang ; Pham, Quang Dung

A time-dependent model with speed windows for share-a-ride problems: A case study for Tokyo transportation Journal Article

Data Knowl. Eng., 114 , pp. 67–85, 2018.

Links | BibTeX

Pham, Dinh Thanh; Dinh, Anh Dung; Tran, Ngoc Tien; Tran, Ba Trung; Huynh, Thi Thanh Binh

A Guided Differential Evolutionary Multi-tasking with Powell search method for solving Multi-objective Continuous Optimization Inproceedings Forthcoming



45 entries « 1 of 15 »