Data Science Cluster Hire Faculty

Assistant Professor, Department of Computer Science and Engineering, HKUST

Website: https://cse.hkust.edu.hk/~yqsong/

Prof Song started teaching the following postgraduate course from 2016 Fall Semester:
COMP 6211 Advanced Topics in Artificial Intelligence
Advanced topics in artificial intelligence including neural networks, natural language processing, logic programming, image understanding, robotics and others. Background: An appropriate 500-level course.
He co-teaches in topics in Text Mining and Knowledge Graph Construction, Inference, and Applications

He will teach the following undergraduate course from 2017 Spring Semester:
COMP 3211 Fundamentals of Artificial Intelligence
Foundations underlying design of intelligent systems. Relations between logical, statistical, cognitive, biological paradigms; basic techniques for heuristic search, theorem proving, knowledge representation, adaptation; applications in vision, language, planning, expert systems.

Associate Professor, Department of Mathematics, HKUST

Website: http://repository.ust.hk/ir/AuthorProfile/yao-yuan

He taught the following course in 2016-2017 Spring Semester:
MATH6380J A Mathematical Introduction to Data Analysis
This course serves as an introduction of modern data analysis to students from mathematics and as well as engineering. It starts from two stories opening the high dimensional statistics; Stein's phenomena in high dimensional estimate and random matrix theory in principle component analysis, then paves a way toward the central role of sparse structures in modern data analysis. Compressed sensing, manifold learning, and a variety of topics in machine learning are discussed with a data analytic orientation. The course has no exams, but is featured with extensive homework and projects. Familiarity with a programming language such as MatLab, R, or Python is needed. Basic knowledge on linear algebra and optimization is helpful.

He will offer the following course in 2017-2018 Fall Semester:
CSIC5011 Topological and Geometric Data Reduction and Visualization
This course is a mathematical introduction to data analysis and visualization with a perspective of topology and geometry. Topics covered include: classical linear dimensionality reduction, the principal component analysis (PCA) and its dual multidimensional scaling (MDS). Extensive application examples in biology, finance, and information technology are presented along with course projects.

He will also lead a course in Statistical Machine Learning in 2017-2018 Spring Semester. Course details are still in preparation by the department concerned.

Assistant Professor, Division of Biomedical Engineering and Division of Life Science, HKUST

Website: http://wang-lab.ust.hk/index.html

Prof Wang will co-teach postgraduate course BIEN 5040 and undergraduate course BIPH 3010 from Fall Semester, 2017. He is planning to develop a new course in 2018, and is preparing for course materials.

BIPH 3010 Advanced Biological Physics
Biological physics involves the application of physics to achieve an understanding of life processes. This is the second of a two-course series that will prepare advanced undergraduates for research and technical work in Biological physics. It covers advanced biological physics such as molecular and cellular biological physics, photophysics, single-molecule biophysics, medical biophysics, membrane biological physics, neurobiophysics, biostatistics, biomathematics, bioinformatics, computational biology and protein engineering. At the conclusion of this course, students will be able to critically assess primary research literature written for a general scientific audience. They will also be prepared for mentored practical research investigations or professional job related to biological physics.

BIEN 5040 Introduction to Bioengineering Research
Bioengineering is an interdisciplinary field that integrates biological sciences, physics, chemistry, medicine and engineering. This course will provide a survey of bioengineering research areas to provide our research postgraduate students a broad appreciation of different areas. Topics are to be chosen from the following areas: bioinformatics; medical imaging and analysis; molecular, cell and tissue engineering; biomaterials and drug delivery; biochemical engineering; lab on chip and biosensors; and medical devices. The course aims to help student recognize and understand how knowledge from science and engineering interface in this interdisciplinary application.

Assistant Professor, Department of Economics, HKUST

Website: https://www.kohei-kawaguchi.com/

Upon on board in September 2017, he will teach undergraduate course ISOM 2500 from Fall Semester, 2017.
ISOM 2500 Business Statistics
Collection, tabulation and presentation of numerical data; concepts of probability and probability distributions; sampling; statistical estimation and hypothesis testing; correlation and regression analysis.

This is a core course on data analysis (business statistics) required for all 1st year business school UG students. The course is also taken by a considerable number of UG students from other schools as well.

Assistant Professor, Department of Mathematics and Division of Life Science, HKUST

Website: http://mahy.people.ust.hk/

Prof Hu’s research interest is in Computational and Theoretical Neuroscience. He will teach undergraduate course MATH 2350 in Spring 2019.
MATH 2350 Applied Linear Algebra and Differential
This course provides a concise introduction to linear algebra and differential equations, with exposure to the use of numerical computing software like MATLAB. Topics include systems of linear equations, matrix algebra and determinants, language of vector spaces and inner product spaces, eigenvalue and eigenvector, first order ODEs, linear second order ODEs and oscillations, and homogeneous system of first order ODEs with constant coefficients.