Oct. 2024: Dr. Chen Kan and Ph.D. student Yujing Yang attended the 2024 INFORMS Annual Meeting in Seattle, WA. Yujing presented her recent work “Point Cloud Representation Learning via Graph Signal Processing for Quality Assurance of Additive Manufacturing”. Dr. Kan presented the work with former Ph.D. student Zehao Ye “Incremental Point Cloud Profiling for Layer-wise Monitoring in Additive Manufacturing of Metamaterials”.
(New paper) Oct. 2024, Our paper “Recurrence analysis of 3D point clouds for the detection of surface anomalies in advanced manufacturing,” is published in Manufacturing Letters. Co-authors: Yujing Yang, Zehao Ye, Dr. Yinan Wang (Rensselaer Polytechnic Institute), and Dr. Chenang Liu (Oklahoma State University).
May 2024: Zehao Ye has successfully passed his Ph.D. dissertation defense. Congrats! He will join UMass Chan Medical School as a Post-doc Researcher this summer.
Mar. 2024: Dr. Chen Kan was selected to attend the 2024 NSF Aspiring CPS PIs Workshop in Nashville, TN.
(New paper) Dec. 2023, Our paper “Predicting mechanical behavior of additively manufactured mechanical metamaterials using point cloud representation learning” is published in the ASME Journal of Computing and Information Science in Engineering. Co-authors: Zehao Ye, Dr. Xin Liu, and Dr. Bo Peng (Dassault Systemes).
Oct. 2023, Dr. Chen Kan and PhD students Zehao Ye and Yujing Yang attended the 2023 INFORMS Annual Meeting in Phoenix, AZ. Yujing presented her work “Recurrence Network Representation Learning for Quality Control in Additive Manufacturing of Metamaterials”, and Zehao presented his work “Predicting Mechanical Behavior of Additively Manufactured Mechanical Metamaterials using Point Cloud Representation Learning”.
(New paper)Oct. 2023, two papers are published in the journal Manufacturing Letters.
(New paper)Aug. 2023, Our paper “Recurrence network-based 3D geometry representation learning for quality control in additive manufacturing of metamaterials” is published in the ASME Journal of Manufacturing Science and Engineering. Co-author: Yujing Yang.
(Award)June 2023: Dr. Chen Kan received an award from the Utilities Service Alliance for the development of a mobile fire sensing system (Collaborated with Drs. Jay Rosenberger, Brian Huff, and Victoria Chen).
June 2023: Dr. Chen Kan and Zehao Ye attended the 51th NAMRC/MSEC conference at Rutgers University and presented their paper “Stereo Vision enabled Flexible In-situ Process Authentication of Additive Manufacturing” (Joint work with Dr. Chenang Liu from Oklahoma State University). Zehao received the NSF Student Travel Support for this conference.
May 2023: Dr. Chen Kan attended the 2023 IISE Annual Conference in New Orleans.
April 2023: SAIL Research Experience for Undergraduates (REU) team (Cindy, Devon, and Connor) presented their poster during the 2023 UTA College of Engineering Innovation Day.
(Award)April 2023: Zehao Ye won the First Place of Graduate Research Poster Competition during the 2023 UTA College of Engineering Innovation Day. Congratulations!
(New paper)Nov. 2022: Our paper “DG-ECG: Multi-stream deep graph learning for the recognition of disease-altered patterns in electrocardiogram” is published in the Biomedical Signal Processing and Control. Co-authors: Zehao Ye (SAIL PhD student), Houliang Zhou (former SAIL Master’s research assistant), and Dr. Sreekanth Cheruku.
(New paper)Nov. 2022: Our paper “Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials” is published in the Journal of Manufacturing Systems. Co-authors: Yujing Yang (SAIL PhD student) and Dr. Xin Liu.
Oct. 2022: PhD student Yujing Yang presented her work “Bridging Vacuum Ultraviolet Spectra and Chemical Compound Structures with Machine Learning” at the 2022 INFORMS Annual Meeting.
Oct. 2022: Dr. Chen Kan presented the work “Online Point Cloud Fusion for Quality Assurance of Additive Manufacturing” at the 2022 INFORMS Annual Meeting.