GuoXin Chen | Image Processing | Best Researcher Award

Dr. GuoXin Chen | Image Processing | Best Researcher Award

Dr. GuoXin Chen | Zhejiang University | China

Guoxin Chen is a prominent Chinese geophysicist specializing in marine seismic exploration, currently serving as a researcher at the Ocean College of Zhejiang University. With a strong foundation in both mathematics and geophysics, he has developed innovative techniques in seismic waveform inversion, imaging, and artificial intelligence-driven data processing. He has held various academic roles in China and internationally, including at the University of California, Santa Cruz. In addition to his research, he is an editorial board member of several SCI-indexed journals and contributes as a reviewer for top-tier publications. His scholarly work is widely recognized in the geophysical research community.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Guoxin Chen completed his Ph.D. in Geophysics from Zhejiang University, one of China’s leading institutions in scientific research. His academic journey began with a Bachelor’s degree in Mathematics from Shandong University, Jinan, where he built a strong analytical foundation that later enriched his work in geophysics. His interdisciplinary academic background enabled him to approach seismic imaging and inversion with a unique combination of theoretical precision and practical problem-solving skills, contributing to significant advances in marine geophysical research methodologies.

Professional Experience

Guoxin Chen has accumulated extensive experience in geophysics through academic and research roles both in China and the United States. He currently works as a researcher at the Ocean College of Zhejiang University and previously served as an associate researcher and postdoctoral scholar in the same institution. Internationally, he has been affiliated with the Modeling & Imaging Lab at the University of California, Santa Cruz, holding roles from project assistant researcher to junior researcher. His professional appointments include serving as a distinguished expert with BGP, CNPC, and as a guest editor and board member for several prominent journals.

Awards and Honors

Guoxin Chen has been recognized for his contributions to exploration geophysics with multiple prestigious academic appointments and research grants. He serves as a part-time distinguished expert for the Bureau of Geophysical Prospecting under CNPC. He also holds editorial positions in high-impact SCI journals such as Water, Symmetry, Petroleum Science, and Journal of Earth Science. He has served as a principal investigator and core researcher in numerous national-level and provincial research projects, highlighting his leadership in scientific innovation and research development in geophysics and related fields.

Research Focus

Guoxin Chen’s research primarily focuses on marine seismic exploration, especially seismic wave full waveform inversion, reverse time migration imaging, and the application of AI in geophysical data processing. He aims to improve imaging accuracy and efficiency for complex geological structures, such as salt bodies and sub-seafloor sediments. His recent work integrates deep learning algorithms into conventional geophysical workflows, offering enhanced solutions for noise reduction, model building, and data interpretation. His work has significantly contributed to advancements in both academic geophysics and practical seismic exploration technologies.

Top Publications

Efficient Seismic Data Denoising via Deep Learning with Improved MCA-SCUNet
Published Year: 2024
Cited by: 14

Joint Model and Data-Driven Simultaneous Inversion of Velocity and Density
Published Year: 2024
Cited by: 12

Salt Structure Elastic Full Waveform Inversion Based on the Multi-scale Signed Envelope
Published Year: 2022
Cited by: 38

Application of Envelope in Salt Structure Velocity Building
Published Year: 2020
Cited by: 55

Multi-scale Direct Envelope Inversion: Algorithm and Methodology for Application to the Salt Structure Inversion
Published Year: 2019
Cited by: 42

Conclusion

Guoxin Chen stands as a distinguished figure in the field of exploration geophysics with a career marked by academic excellence, groundbreaking research, and international collaboration. His fusion of mathematical insight, geophysical expertise, and cutting-edge artificial intelligence places him at the forefront of seismic imaging research. Through numerous publications, editorial contributions, and funded projects, he continues to influence the direction of marine seismic data processing and inversion technologies. His work not only contributes to academic knowledge but also addresses real-world challenges in geophysical exploration and energy resource discovery.

 

Thittaporn Ganokratanaa | Computer Vision | Best Researcher Award

Assist. Prof. Dr. Thittaporn Ganokratanaa | Computer Vision | Best Researcher Award

Lecturer at King Mongkut’s University of Technology Thonburi, Thailand

Dr. Thittaporn Ganokratanaa is an Assistant Professor in the Applied Computer Science Programme at King Mongkut’s University of Technology Thonburi. She is a dynamic academic leader involved in national and international committees including IEEE and AIAT. She actively advises innovation projects and engages in AI policy shaping in Thailand. With a strong academic and research background, she contributes significantly to the fields of artificial intelligence and multimedia signal processing. Dr. Thittaporn is widely recognized for her innovative spirit, mentorship, and leadership in applied research and education.

Publication Profile🌏📚

Academic Background🎓

Dr. Thittaporn holds a Ph.D. in Electrical Engineering with a focus on Multimedia and Signal Processing from Chulalongkorn University, with research collaboration at the University of Trento, Italy. She earned her M.Eng. from Chulalongkorn University with a GPA of 3.92 and her B.Sc. in Media Technology with first-class honors and a gold medal from KMUTT. Her academic journey is marked by multiple prestigious scholarships and fellowships, reflecting her academic excellence and commitment to research in AI, signal processing, and biomedical technology.

Professional Experience📊

Dr. Thittaporn currently serves as an Assistant Professor at KMUTT and holds several key leadership roles including Secretary of the IEEE Thailand Section and committee positions in IEEE MGA, CQC, and AIAT. She has contributed to national AI advisory committees and has served as advisor to several award-winning student innovation projects. Her career is defined by interdisciplinary collaboration, global engagement, and dedication to advancing computer science and AI education. She actively participates in conferences, policy development, and technical review roles in the academic and governmental sectors.

Awards and Honors🏆🥇

Dr. Thittaporn has received numerous prestigious awards, including the Grand Prize and Gold Medal at JDIE2024, multiple National Research Council of Thailand innovation awards, and Best Presentation at CSoNet 2024. She has been awarded both nationally and internationally for her innovative projects such as robotic prosthetics and AI-driven healthcare solutions. Her mentorship has led to student accolades at events like NSC and CommTECH. Recognized by organizations like UNOOSA and NUS, her work continues to drive excellence in AI research and technological innovation

Research Focus🔬

Dr. Thittaporn’s research interests span artificial intelligence, video anomaly detection, computer vision, human-computer interaction, multimedia signal processing, and the Internet of Things. She focuses on applying machine learning to solve real-world problems in healthcare, education, and smart technologies. Her projects include intelligent assistive devices, AI-powered learning platforms, and robotic systems. She integrates innovation with societal impact, aiming to bridge research and practical applications. Her interdisciplinary approach and global collaborations support her goal of creating technology that is ethical, inclusive, and transformative.

Publication Top Notes📊

Unsupervised anomaly detection and localization based on deep spatiotemporal translation network
citation: 123
year: 2020

Video anomaly detection using deep residual-spatiotemporal translation network
citation: 39
year: 2022

Iot system design for agro-tourism
citation: 33
year: 2021

Development of a process to enhance the reimbursement efficiency with OCR and ontology for financial documents
citation: 32
year: 2022

Voice-activated assistance for the elderly: Integrating speech recognition and IoT
citation: 20
year: 2024

Sorting red and green chilies by digital image processing
citation: 19
year: 2023

Smart agricultural greenhouses for earthworm farming
citation: 19
year: 2023

Pillow for detecting snoring with embedded techniques for elderly people with snoring problems
citation: 16
year: 2023

Real-Time Credit Card Fraud Detection Surveillance System
citation: 16
year: 2023

Conclusion🌏

Dr. Thittaporn Ganokratanaa is an outstanding candidate for the Best Researcher Award, with a strong track record in artificial intelligence, computer vision, multimedia signal processing, and human-computer interaction. Her academic excellence—evident from her Ph.D. in Electrical Engineering with international collaboration and multiple scholarships—pairs seamlessly with her innovation-driven research, reflected in numerous national and international awards, including from NRCT and JDIE. She actively contributes to impactful real-world applications, such as AI-assisted healthcare technologies and smart systems. Her leadership roles in IEEE Thailand, the AI Association of Thailand, and advisory committees for national AI policy underscore her influence in both academia and policy. Additionally, her mentorship of award-winning student projects highlights her dedication to shaping future researchers. Overall, Dr. Thittaporn exemplifies the qualities of a top-tier researcher with global impact, national relevance, and visionary leadership.