Professor at Xi’an Jiaotong University, China
Professor Xiaojun Tang is a distinguished researcher at Xi’an Jiaotong University, where he leads the Institute of Intelligent Detection Technology and Systems. With a strong focus on well and gas logging, spectral analysis, and intelligent sensors, he has made significant contributions to the field of applied hydrology and energy exploration. His groundbreaking work in applying FTIR spectroscopy to aquifer detection has introduced novel methods for identifying water layers in complex reservoirs, offering a major advancement over traditional resistivity techniques. Professor Tang has authored over 60 scientific papers, published 7 books, and holds 50 patents, reflecting both academic excellence and practical innovation. He has directed more than 50 research projects funded by national and provincial bodies, and has collaborated extensively with major industrial organizations such as PetroChina and CNOOC. Recognized with prestigious awards including the China Instrument Society Innovation Award and multiple provincial science and technology prizes, Professor Tang exemplifies interdisciplinary leadership in hydrological instrumentation and applied research.
Professional Profile
Education
Professor Xiaojun Tang holds a Ph.D. in a field related to instrumentation science and technology, aligning with his expertise in intelligent detection systems and spectral analysis. He received his academic training at leading Chinese institutions, culminating in his current role as a professor at Xi’an Jiaotong University, one of China’s premier research universities. His educational background laid a strong foundation in engineering, applied physics, and sensor technology, which has supported his pioneering work in gas logging, aquifer detection, and intelligent instrumentation. Throughout his academic journey, Professor Tang has combined theoretical knowledge with practical innovation, shaping his role as both a researcher and educator in cutting-edge detection technologies.
Professional Experience
Professor Xiaojun Tang has extensive professional experience in the fields of intelligent detection technology, spectral analysis, and instrumentation science. He currently serves as a Professor at Xi’an Jiaotong University, where he also directs the Institute of Intelligent Detection Technology and Systems. Over his career, he has led more than 50 significant research projects, including national-level initiatives such as the National Key Scientific Instrument and Equipment Development Project and programs under the National Natural Science Foundation of China (NSFC). His work has bridged academia and industry through collaborations with major organizations like PetroChina, CNOOC, and the China Coal Research Institute, applying his innovations in gas sensing and well logging to real-world energy and mining operations. Professor Tang’s professional expertise is further demonstrated by his 50 patents, 60+ peer-reviewed publications, and service on the editorial board of Applied Science and Technology, establishing him as a leader in applied research and technological innovation.
Research Interest
Professor Xiaojun Tang’s research interests lie at the intersection of intelligent detection technologies, spectral analysis, and applied instrumentation, with a strong focus on energy exploration and hydrological applications. He specializes in exploration well gas logging, FTIR spectroscopy, and intelligent sensor systems, aiming to improve the accuracy and efficiency of subsurface fluid detection. His innovative work includes developing advanced methods for aquifer identification using infrared spectral signatures, particularly in complex, low-resistivity geological formations. Additionally, Professor Tang is deeply engaged in research related to coal mine gas safety and real-time monitoring systems, contributing to both environmental safety and resource evaluation. His interdisciplinary approach bridges the gap between fundamental research and industrial application, making significant impacts in the fields of hydrology, geoscience, and instrumentation engineering.
Award and Honor
Professor Xiaojun Tang has been recognized with numerous prestigious awards and honors for his contributions to scientific research and technological innovation. Notably, he received the First Prize of the Liaoning Science and Technology Progress Award and the Second Prize of the Shaanxi Science and Technology Achievement Award, reflecting provincial-level acknowledgment of his impactful work. In addition, he was honored with the Innovation Award from the China Instrument and Control Society, which highlights his significant achievements in developing advanced intelligent instrumentation and detection systems. These accolades underscore his leadership in interdisciplinary research and his role in advancing applied science within both academic and industrial domains.
Conclusion
Professor Xiaojun Tang presents a compelling nomination for the Best Researcher Award due to his pioneering research in spectral analysis for aquifer detection, prolific output, and impactful industry collaboration. While his work is highly innovative and influential within applied instrumentation and hydrocarbon exploration, slight limitations in hydrology-specific visibility and international academic reach should be weighed.
Publications Top Noted
-
Title: Water vapor absorption peaks in infrared spectroscopic gas logging and correlation with water layers
Authors: Li, Xiaoshan; Tang, Xiaojun; Huang, Zijian; Chen, Houqing; Wu, Tong
Year: 2025
Citations: 0
-
Title: Characteristic Gases Detection Technology and Application of Buffer Layer Ablation Defects in XLPE Cables Based on FTIR
Authors: Li, Xiaoshan; Tang, Xiaojun; Chen, Houqing; Gao, Jian; Ren, Zhigang
Year: 2025
Citations: 1
-
Title: Topology and Control Strategy of Multi-Port DC Power Electronic Transformer Based on Soft Switching
Authors: Zhang, Jialin; Zha, Kunpeng; Tang, Xiaojun; Li, Lanfang; Li, Jiafei
Year: 2025
Citations: 1
-
Title: Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm
Authors: Zhang, Zeyu; Tang, Xiaojun; Li, Xiaoshan; Liu, Chongzhi
Year: 2025
Citations: 0
-
Title: Fourier Transform Infrared Spectrum Analysis of Free Gas in Power Transformer
Authors: Wang, Yang; Han, Wei; Huang, Lianpeng; Liu, Yiying; Tang, Xiaojun
Year: 2024
Citations: 0
-
Title: Species discrimination of β-phenylethylamine, NaCl and NaOH based on Ultraviolet spectroscopy and principal component analysis combined with improved clustering by fast search and find of density peaks algorithm
Authors: Tong, Angxin; Zhu, Jinyang; Zhang, Qiang; Chen, Hong; Zhang, Feng
Year: 2024
Citations: 0
-
Title: Detection Method for Short-circuit Fault of Flexible DC Transmission System Based on Virtual Power Ratio
Authors: Li, Wenbo; Tang, Xiaojun; Zhang, Zeyu; Wang, Hao
Year: 2024
Citations: 2
-
Title: Dynamic event-triggered dual-channel quantized sliding mode control for uncertain networked control systems under DoS attacks
Authors: Liu, Chongzhi; Tang, Xiaojun; Zhang, Zeyu; Li, Xiaoshan; Li, Zhe
Year: 2024
Citations: 2
-
Title: An adaptive event-triggered H∞ control framework for nonlinear networked control systems with dual-channel quantization
Authors: Liu, Chongzhi; Tang, Xiaojun; Lu, Youshui; Zhang, Zhifen; Peng, Jingbo
Year: 2024
Citations: 1
-
Title: Multiple ultrasonic partial discharge DOA estimation performance of KPCA Pseudo-Whitening mnc-FastICA
Authors: Zhang, Zeyu; Tang, Xiaojun; Liu, Chongzhi; Li, Xiaoshan; Ren, Shuangzan
Year: 2024
Citations: 4