DAM, Hieu Chi Associate Professor
School of Knowledge Science,Knowledge Management Area
◆Degrees
The University of Tokyo, Faculty of Science, Department of Physics, Bachelor(Physics)(1998)JAIST, Master(Materials Science)(2000) JAIST, Ph.D(Materials Science)(2003)
◆Professional Experience
: Lecturer at Department of Physics, Hanoi National University (2003); Associate at Japan Advanced Institute of Science and Technology (2004); Lecturer at Japan Advanced Institute of Science and Technology (2006)
◆Specialties
Materials Informatics, Datamining, Computational Materials Science
◆Research Keywords
Materials Informatics, Datamining, First Principles Calculation, Diffraction Physics
◆Research Interests
Data science and Materials Informatics
備考

■Publications

◆Published Papers
Application of materials informatics on crystalline materials for two-body terms approximation
Van-Doan Nguyen, Tien-Lam Pham, Dam Hieu-Chi
COMPUTATIONAL MATERIALS SCIENCE, 166, 155-161, 2019/08
Oxygen-diffusion-driven oxidation behavior and tracking areas visualized by X-ray spectro-ptychography with unsupervised learning
Hirose Makoto, Ishiguro Nozomu, Shimomura Kei, Duong-Nguyen Nguyen, Matsui Hirosuke, Dam Hieu Chi, Tada Mizuki, Takahashi Yukio
COMMUNICATIONS CHEMISTRY, 2, -, 2019/04/26
Measuring the Similarity between Materials with an Emphasis on the Materials Distinctiveness.
Tran-Thai Dang, Tien-Lam Pham, Hiori Kino, Takashi Miyake, Hieu-Chi Dam
CoRR, abs/1903.10867, -, 2019
Committee machine that votes for similarity between materials
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Tuan-Dung Ho, Truyen Tran, Takahashi Keisuke, Dam Hieu-Chi
IUCRJ, 5, 830-840, 2018/11
Thermoelectric Properties and Carrier Localization in Ultrathin Layer of Nb-Doped MoS2
Pham Xuan Thi, Masanobu Miyata, Huynh Van Ngoc, Pham Tien Lam, Nguyen Thanh Tung, Manoharan Muruganathan, Phan Trong Tue, Masashi Akabori, Dam Hieu Chi, Hiroshi Mizuta, Yuzuru Takamura, Mikio Koyano
Physica Status Solidi (B) Basic Research, 255, -, 2018/09/01
◆Books
Progressive Trends in Knowledge and System-based Science for Service Innovation. (Chapter 7) Big Data and Service Science
Ho Tu Bao, Taewijit Siriwon, Ho Quang Bach, Dam Hieu Chi, IGI Global, 2013
Series on Innovation and Knowledge Management Vol. 8.The role of “Bridge SE” in knowlege sharing: A case study of software offshoring from Japan to Vietnam
Nguyen Thu Huong, Dam Hieu Chi, Umemoto Kastsuhiro, 2009
◆Conference Activities & Talks
Data mining for materials design
Hieu-Chi Dam
33rd Computer-aided Materials and Molecular design Forum, 表参道「アイビーホール」東京, 2018/11/02
データ科学手法の活用による物質空間の理解に向けて
Hieu-Chi Dam
日本金属学会2018年秋期講演, 東北大学、仙台, 2018/09/19
Representation of multi-element materials with emphasis on orbital interaction
Tien-Lam Pham, Hiori Kino, Takashi Miyake, Hieu-Chi Dam
ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), University of Engineering and Technology, Ha Noi, Viet Nam, 2018/09/07
Committee machine that votes for similarity between materials
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hieu-Chi Dam
ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), University of Engineering and Technology, Ha Noi, Viet Nam, 2018/09/07
Measuring Dissimilarity between Materials with an Emphasis on Identity of Atomic Orbital Hybridization
Tran-Thai Dang, Tien-Lam Pham, Hieu-Chi Dam
ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), University of Engineering and Technology, Ha Noi, Viet Nam, 2018/09/07

■Teaching Experience

Computational Material Design, Data Science, Advanced Data Analytics(E), Data Analytics, Introduction to Knowledge Science(E), Introduction to Knowledge Science, Basis of Data Analytics (E), 物質計算科学特論, データサイエンス論, データ分析学特論(E), データ分析学(E), 知識科学概論(E), 知識科学概論, データ分析学基礎(E)

■Academic  Awards

・ ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), Excellent Oral Presentation , Asian Consortium on Computational Materials Science , 2018/09/09