Speakers of ICMSP 2024

Researcher Tuan Guo

Jinan University, China

Bio: Tuan Guo, a Researcher and PhD Supervisor at Jinan University, was listed in the Chang Jiang Scholars Program as a Distinguished Professor awarded by the Ministry of Education and is a recipient of the National Excellent Young Scientists Fund. He is also an esteemed Optica Fellow of the Optical Society of America (OSA). His research endeavors revolve around fiber-optic sensing technology and its diverse applications within renewable energy, biology, oceanography, and electrical power sectors. Guo has successfully led numerous key projects funded by the National Natural Science Foundation of China, including Key Project and Excellent Young Scientists Fund, alongside pivotal research initiatives in Guangdong Province. Boasting an impressive collection of over 170 SCI-indexed papers in esteemed journals such asNature Communications andLIGHT, he holds an extensive portfolio of more than 30 authorized patents, four of which are in the United States. Guo currently serves as the Chairman of the Photonics Technical Committee of the IEEE Instrumentation and Measurement Society (IEEE IMS) and sits on the editorial board of international journals, includingIEEE JLT,IEEE TIM, and SCIENTIA SINICA Informationis. For his contributions, he has been honored with the IEEE IMS Technology Award and the Best Application Award. 

Title: In-Situ Fiber-Optic Sensing Technology for Batteries 

Prof. Yongkang Dong

Harbin Institute of Technology, China

Bio:Yongkang Dong, Professor and PhD Supervisor, was listed in the Chang Jiang Scholars Program as a Distinguished Professor and serves as the Deputy Dean at the School of Astronautics, Harbin Institute of Technology. He currently serves in dual roles as Deputy Director of the National Key Laboratory of Laser Space Information and Executive Deputy Director of its affiliated laboratory. Dong is also a valued member of the Expert Group overseeing the Key Special Project on Information Photonics Technology within the National Key Research and Development Program. He holds the position of Principal Scientist for the National Major Scientific Instrument and Equipment Development Program at the Ministry of Science and Technology and the leader of the Chinese delegation in the BRICS Photonics Working Group under the same ministry. Additionally, Dong sits on the Council of the Chinese Society for Optical Engineering and serves as an editorial board member for esteemed international journals, includingOptics Letters,Photonic Sensors, andLaser & Optoelectronics Progress. Dong’s research endeavors specialize in fundamental studies, technological advancements, and engineering applications of fiber-optic and laser sensors. His groundbreaking work has resulted in numerous innovations that have been successfully implemented in significant national projects. Dong has authored over 110 publications in highly regarded international journals, such asLight: Science & Applications (published by Nature Publishing Group),Optica, andLaser & Photonics Reviews. Recognized as a Highly Cited Researcher by Elsevier, Dong has garnered numerous accolades, including the First Prize in Natural Science from Heilongjiang Province, the First Prize in Technological Innovation from the Chinese Society for Optical Engineering, and the First Prize for Science and Technology Progress Award from Shaanxi Province. Throughout his career, Dong has led over 20 projects funded by prestigious programs such as the National Major Scientific Instrument and Equipment Development Program, the National Key Research and Development Program, the National Natural Science Foundation of China, and major state-owned enterprises. 

Title: Distributed Brillouin Fiber-Optic Sensing Technology

Prof. Tiancheng Li

Northwestern Polytechnical University, China

Bio: Tiancheng Li is a Professor with the School of Automation, Northwestern Polytechnical University, the winner of the National Science Fund for Excellent Young Scholar. His research is focused on multi-source information fusion, radar target tracking and pod information processing, etc., on which he has published more than 50 articles on eminent journals, such as IEEE SPM, TSP ( including several serialized papers), and other well-known journals. These publications have been cited more than 4400 times in total. He has received outstanding paper awards from FITEE, and the China Information Fusion Conference. He received the Marie Sklodowska-Curie Individual Fellowship from European Commission in 2016 and the Excellent Doctoral Thesis Award of Shaanxi Province in 2017. He serves as the editor of the top journal Information Fusion, editorial board member of FITEE (Outstanding Editor of 2020), editorial board member of multiple journals such as Journal of Radars, Aero Weaponry, Journal of Signal Processing, and Journal of Information and Intelligence (English), chairman of the 10th International Conference on Control, Automation and Information Sciences (ICCAIS 2021), and chairman of the organizing committee of the 16th National Radar Academic Annual Conference. He has achieved notable recognitions, including the first prize of the Natural Science Award of the Shaanxi Science and Technology Award (R3), the second prize of the Natural Science Award of the Chinese Association of Automation (R1), and has been consistently ranked in the top 2% of scientists globally for several consecutive years.

Title: Multi-sensor Multitarget Robust Fusion Tracking Approach

Prof. Qiong Zhang

University of Electronic Science and Technology of China, China

Bio: Qiong Zhang, a Professor at the University of Electronic Science and Technology of China (UESTC), holds a pivotal position within the Joint Research Institute between UESTC and China Oilfield Services Limited (COSL). Her research endeavors focus on nuclear technologies tailored for deep-sea and deep-earth oil and gas exploration, which closely align with the country’s major energy strategies. Following the completion of her PhD at a top-three nuclear engineering university in the United States, she embarked on a multi-year R&D journey at a Fortune 500 oil company, gaining extensive overseas industry expertise. Zhang was honored with the selection for the 15th batch of the Overseas High-Level Talent Recruitment Program (Young Thousand Talents Program). Upon her return to China, she forged close collaborations with COSL, introducing pioneering controlled-source technologies from the international forefront and emphasizing the localization and engineering aspects of her research. In her role as the lead principal investigator for a pivotal joint project funded by the National Natural Science Foundation of China (NSFC) and its general projects in partnership with COSL, as well as the project leader for several core enterprise research initiatives, Zhang has successfully established a domestically produced downhole nuclear measurement technology system based on the nuclear and Earth science theory. Furthermore, she has developed GMAC, a nuclear well logging software with independent intellectual property rights. The density, elemental, and neutron instruments jointly developed with COSL have demonstrated their effectiveness in practical applications. Zhang’s research contributions have resulted in 45 publications in high-impact journals across both the nuclear and petroleum domains, with her serving as the first or corresponding author. She holds seven authorized U.S. patents and has been granted 25 Chinese patents, all as the primary inventor. Zhang’s remarkable achievements have been recognized through the awarding of the 2022 SPWLA (Society of Petroleum Well Log Analysts) Young Scientist and Engineer Award and the 2024 OTC (Offshore Technology Conference) Spotlight on New Technology Award, both of which are firsts for Chinese energy professionals, showcasing her substantial influence within both domestic and international industries. 

Title: A High-Performance Monte Carlo Nuclear Instrument Simulation Platform Based on Geant4: GMAC

Prof. Xiaojun Tang

Xi’an Jiaotong University, China

Bio: Xiaojun Tang is a professor at the School of Instrumentation Science and Technology, Xi'an Jiaotong University, director of the Intelligent Detection Technology and Systems Research Institute, standing director of IEEE Power and Energy Society (PES) Intelligent Perception Section, and standing director of Shaanxi Instrumentation and Control Society. He is engaged in the research of well logging, gas logging, spectral analysis and application, intelligent instrumentation and control. He has edited or co-edited 5 books, published more than 60 papers as the first author or corresponding author (more than 40 SCI-indexed and 20 EI-indexed), and granted 51 national invention patents. He has presided over 50 research projects, including National Key Scientific Instrument and Equipment Development Program (Technical Director), National Key Research and Development Program (NKRDP), sub- project of National Key Research and Development Program, General Program of National Natural Science Foundation of China (NSFC), and four other vertical projects. He was awarded the first prize of Shaanxi Provincial Teaching Achievement Award, the second prize of National Teaching Achievement Award, the first prize of Shaanxi Provincial Scientific and Technological Achievement Award, the first prize of Liaoning Provincial Scientific and Technological Progress Award, and the Scientific and Technological Innovation Award of China Instrumentation and Control Society.

Title: Advance of Mud-logging Technology Based on FTIR

Prof. Shubin Yan

Zhejiang University of Water Resources and Electric Power, China

Bio: In recent years, he has published 230 academic papers in journals, of which more than 100 are included in SCI and EI; has authorized 66 national invention patents; presided over 6 National Natural Science Foundation of China, 40 provincial and ministerial projects.Mainly engaged in research related to micro-nano optical quantum sensors, micro-nano manufacturing, and instrument science. His current research interests include special sensors for power grids, water networks, and hydrogen energy safety monitoring. 

Title: Hydrogen Energy Development in the Context of Carbon Neutrality

Senior Engineer Zenghui Yu

China Oilfield Services Limited (COSL), China

Bio:Zenghui Yu, a Senior Engineer, currently serves as the Deputy Director of the Oilfield Technology Research Institute at China Oilfield Services Limited (COSL). Since obtaining his master’s degree from Tsinghua University in 2005, he has dedicated his career to the development of logging technologies and equipment. As a technical leader, he has successfully led the independent development of cutting-edge logging instruments, including ultra-high-temperature and high-pressure water-based electrical imaging logging instruments, oil-based electrical imaging logging instruments, and high-resolution while-drilling electrical imaging logging instruments. These advancements have significantly bolstered China’s capabilities in equipment support for oil and gas exploration and development. Yu has also contributed to the establishment of three COSL standards and one industry standard, authored 12 papers, and secured 21 patents. His exceptional work has garnered numerous accolades, including the COSL Outstanding Employee Award, the Third Prize for Science and Technology Progress Award of Tianjin, the COSL Technical Invention Grand Prize, and the First Prize for Science and Technology Progress Award by China National Offshore Oil Corporation. 

Title: Independent Development and Prospects of Marine Oil and Gas Logging Equipment for Directional Wells

Assoc. Prof. Jingang Shi

Xi’an Jiaotong University, China

Bio: Jingang Shi, Associate Professor and PhD supervisor at the School of Software, Xi’an Jiaotong University, earned his doctoral degree in Information and Communication Engineering from this university in 2015. From 2015 to 2017, he worked as a Research Engineer at the National Engineering Laboratory under the China Academy of Electronics and Information Technology (CAEIT) of China Electronics Technology Group Corporation Limited (CETC). From 2017 to 2020, he pursued postdoctoral research at the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. In 2019, he was selected for Xi’an Jiaotong University’s Young Talents Program, where he was appointed Associate Professor and PhD supervisor. His research focuses on computer vision and machine learning, with specialized interests in image restoration, facial and emotion analysis and recognition, action recognition, multimodal learning, and non-contact physiological and psychological signal analysis and detection. Shi has published over 50 academic papers, with his work featured in leading international journals and conferences, including the IEEE Transactions series. He has led projects funded by the National Natural Science Foundation of China and the Finnish Funding Agency for Technology and Innovation. He has played a key role in projects supported by the National Natural Science Foundation of China, the Academy of Finland, and Business Finland. 

Title: Non-Contact Remote Cardiac Monitoring and Abnormality Prediction

Senior Engineer Shuangye Yang

BEIJING PETROLEUM MACHINERY CO.,LTD, China

Bio: Shuangye Yang, Deputy General Manager of the CNPC Manufacturing Innovation Center (Beijing Petroleum Machinery Co., Ltd.), is a Senior Engineer and a member of the Shaanxi Youth Science and Technology Association. He has received numerous honors, including recognition as an Outstanding Scientific and Technological Worker by the CNPC, appointment as Chief Engineer of Qinchuangyuan, and awards such as the Baoji “May Day Labor Medal” and the Young Talent designation. Over the years, he has led or participated in more than 30 research projects, including eight at the national or provincial level, and has been granted over 30 patents, including 16 invention patents. He has published 28 papers, five of which are indexed in SCI/EI, and has drafted seven industry and group standards. His achievements have been recognized with five provincial or ministerial awards and 18 bureau-level honors. His research primarily focuses on intelligent control systems for oil, gas, and new energy equipment, as well as key technologies in foundational industrial software. 

Title: Overview of the Kunhong Intelligent IoT Operating System 

Zhengguo Yan

Xi'an Shiyou University, China

Bio: Zhengguo Yan, a Professor at the School of Electronic Engineering, Xi’an Shiyou University, is a trailblazer in oil and gas well visualization detection technology in China. He has been recognized as a “Scientific and Technological Innovation and Entrepreneurship Talent” by Shaanxi Province, a “Local Leading Talent” by Xi’an Municipality, and an Outstanding Scientific and Technological Worker in the Petroleum and Chemical Industry. Since 2000, he has dedicated his efforts to the advancement of oil and gas well visualization detection technologies. In 2015, he pioneered an adaptive high-speed transmission technology for logging cables, increasing the transmission rate to 2 Mbps. By 2017, he had successfully developed the VideoLog series of visualization detection technologies and associated equipment, enabling clear and precise applications in areas such as casing damage detection, water and leakage tracing, fishing tool identification, downhole tool inspection, and operational effectiveness evaluation. In 2022, the introduction of the Huiyan series of visualization logging instruments marked a breakthrough from qualitative to quantitative visualization detection, achieving internationally advanced performance in applications such as perforation erosion quantification in unconventional horizontal wells and fracturing effectiveness evaluation. 

Title: Enhancement of Downhole Insight and Intervention Levels Leveraging Visualization Detection Technology