Ji Xiaoyuan, male, Ph. D., associate professor and doctoral advisor of Huazhong University of Science and Technology. Engaged in technical research on foundry digitalization, big data, workshop scheduling, defect identification, laser additive, etc., and presided over more than 10 projects including the National Natural Science Foundation of China (general, youth, major sub projects), the National Defense Major (XX project, stable support), the National Key Research and Development, and school enterprise joint technology center.

He has published more than 50 papers in KBS, IS, JMPT, AOSC and other journals, more than 20 authorized invention patents and soft copyrights, published one book, won 6 first prizes of provincial and ministerial science and technology awards (one of them is ranked No. 1), and won "the most beautiful scientific and technological worker" of China foundry industry in 2022.

He served as the director of a school enterprise joint technology center, deputy secretary-general of Hubei Foundry Society, deputy secretary-general of Mold Branch of China Foundry Association, senior member of China Mechanical Engineering Society, youth editorial board member of China Foundry Journal, youth editorial board member of Special Casting & Nonferrous Alloys journal, youth editorial board member of Foundry Technology journal, etc.

Academic Degrees

PhD, 2013, School of Materials Science and Engineering, Huazhong University of science and technology, China;

Bachelor, 2008, School of Materials Science and Engineering, Huazhong University of science and technology, China.

Professional Experience

Associate Professor (2019-present); School of Materials Science and Engineering, Huazhong University of Science and Technology;

Lecturer (2017-2019); School of Materials Science and Engineering, Huazhong University of Science and Technology;

Postdoctor (2013-2017); School of Mechanical Science and Engineering, School of Materials Science and Engineering, Huazhong University of Science and Technology.

Selected Publications

1. Zhou WH, Chen FY, Ji XY*, Li HL, Zhou JX．A Pareto-based discrete particle swarm optimization for parallel casting workshop scheduling problem with fuzzy processing time [J]．Knowledge-Based Systems, 2022, 256(28):109872．

2. Wu B, Zhou JX*, Yang HQ, Huang ZW, Ji XY*, Peng DJ, Yin YJ, Shen X. An ameliorated deep dense convolutional neural network for accurate recognition of casting defects [J]. Knowledge-Based Systems, 2021, 226(8):107096.

3. Wu B, Ji XY, Zhou JX*, Yang HQ, Peng DJ, Wang ZM*, Wu YJ, Yin YJ. In situ monitoring methods for selective laser melting additive manufacturing process based on images-A review [J]. China Foundry, 2021, 18(4):265-285.

4. Ji XY, Yan QY, Huang D, Wu B, Xu XJ, Zhang AB, Liao GL, Zhou JX*, Wu MH*. Filtered Selective Search and Evenly Distributed Convolutional Neural Networks for Casting Defects Recognition [J]. Journal Of Materials Processing Technology, 2021, 292

5. Xia MR, Wu RY, Zhan Wei, Ji XY*, Guo LB, Song WZ*. Measuring the Refractive Index and Its Two-dimensional Distribution of Picoliter Microfluidics with the Scanning White Light Interference Microscopy Method [J]. IEEE Access, 2020, 8, 190553-190558.

6. Wu B, Zhou JX*, Ji XY*, Yin YJ, Shen X. An ameliorated teaching-learning-based optimization algorithm based study of image segmentation for multilevel thresholding using Kapur's entropy and Otsu's between class variance [J]. Information Sciences, 2020, 533(9):72-107.

7. Li W, Yin YJ, Xu Q, Zhou JX*, Nan H, Ji XY*, Shen X, Feng X, Yu W, Tu ZX, Pang N. Tensile behavior of γ/α2 interface system in lamellar TiAl alloy via molecular dynamics [J]. Computational Materials Science, 2019, 159(3):397-402.

8. Zhou JX, Ye H, Ji XY*, Deng WL. An improved backtracking search algorithm for casting heat treatment charge plan problem [J]. Journal of Intelligent Manufacturing, 2019, 30(3):1335-1350.

9. Ji XY, Ye H, Zhou JX*, Yin YJ, Shen X. An improved teaching-learning-based optimization algorithm and its application to a combinatorial optimization problem in foundry industry [J]. Applied Soft Computing, 2017, 57(4):504-516.

10. Wang M, Yin YJ, Zhou JX*, Ji XY*, Nan H, Xue PJ, Shi YS. A multi-scale study of Inconel 625 powders HIP process and construction of HIP maps [J]. International Journal of Advanced Manufacturing Technology, 2016, 90(9):3055-3066.

11. Ji XY, Ye H, Zhou JX*, Deng WL. Digital Management Technology and Its Application to Investment Casting Enterprise [J]. China Foundry, 2016, 13(5):301-309.

12. Zhou JX*, Ji XY, Liao DM, Guan BF, Guan BH, Pang SY, Tang HT. Research and application of enterprise resource planning system for foundry enterprises [J]. China Foundry, 2013, 10(1):7-17.

13. Ji XY. Single piece and intelligent methods and their application in foundry informatization [D]. Huazhong University of science and technology, 2013. (In Chinese)

Awards

1. 2022 Most Beautiful Scientific and Technological Worker of Foundry Industry of China

2. 2022 First prize of China Industry-University-Research Cooperation Innovation Achievement Award(No.1)

3. 2021 First Prize of Invention Entrepreneurship Award and Innovation Award of China Invention Association(No.6)

4. 2021 Gold Award of Hubei Patent Award (No.5)

5. 2017 First Prize of Science and Technology Progress of Hubei Province (No.14)

6. 2015 First Prize of China Industry-University-Research Cooperation Innovation Achievement Award (No.4)

Courses Taught

1. Management and Industrial Engineering

2. Data Structure and Database

3. Database Technology and Application

4. Introduction to Innovation and Entrepreneurship in Materials Science

Presided Project

1. National Natural Science Foundation of China：52275337, 2023/01-2026/12

2. GF Major：XXXX, 2021/01-2022/12

3. GF Major：XXXX, 2019/07-2022/06

4. National key Research and Development Program of China：2020YFB1710102, 2020/11-2023/10

5. Major Projects of National Natural Science Foundation of China：52090042, 2021/01-2025/12

6. National Natural Science Foundation of China：51905188, 2020/01-2022/12

7. Several cooperation projects