Zezhong Zheng | remote sensing | Best Researcher Award

Assoc. Prof. Dr. Zezhong Zheng | remote sensing | Best Researcher Award

Associate professor, University of Electronic Science and Technology of China, China🧬

Dr. Zezhong Zheng is an accomplished Associate Professor at the University of Electronic Science and Technology of China (UESTC). With over two decades of academic and industrial experience, his expertise spans remote sensing, landslide monitoring, deep learning, and geospatial intelligence. Having begun his career as an Assistant Engineer in petroleum geology, Dr. Zheng has grown into a leading researcher with over 20 peer-reviewed publications in top-tier journals. πŸŒπŸ“‘

Profile

Scopus

πŸŽ“ Education

Dr. Zheng completed his Ph.D. in Civil Engineering from the Southwestern Jiaotong University in 2010. He earned his M.S. in Information Engineering from Chengdu University of Technology in 2006 and received his B.S. in Earth Science from Jianghan University of Petroleum in 1999. His interdisciplinary education has laid the foundation for innovative research in geospatial science and engineering. πŸ“˜πŸŽ“πŸ›°

πŸ‘¨β€πŸ« Experience

Currently serving as an Associate Professor at UESTC since July 2013, Dr. Zheng previously held the position of Assistant Professor at the same university. Prior to academia, he contributed as an Assistant Engineer of Petroleum Geology at the Bohai Research Institute of CNOOC Ltd. from 1999 to 2003, enriching his expertise in geotechnical and geological fields. πŸ’πŸ›’πŸ§‘β€πŸ«

πŸ”¬ Research Interest

Dr. Zheng’s research interests include InSAR-based landslide detection, machine learning in remote sensing, geological hazard monitoring, and high-resolution image analysis. He is particularly focused on leveraging artificial intelligence for environmental risk mitigation and infrastructure safety. πŸ›°οΈπŸŒ‹πŸ§ 

πŸ† Awards

While specific awards are not listed, Dr. Zheng’s consistent publication in highly reputed journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, and Photogrammetric Engineering and Remote Sensing reflect his academic excellence and recognition in the scientific community. πŸ…πŸ“šβœ¨

πŸ“š Publications

Landslide evolution assessment using sequential InSAR methods – Photogrammetric Engineering and Remote Sensing, 2025.
Cited for geohazard risk assessment using remote sensing.

Wildfire detection from Himawari-8 data – IEEE Transactions on Geoscience and Remote Sensing, 2024.
Cited for enhancing early wildfire response through spatiotemporal data.

Machine learning for landslide early warning – Natural Hazards Review, 2024.
Cited for AI-driven landslide prediction models.

YOLO network for UAV-based defect detection – Photogrammetric Engineering and Remote Sensing, 2024.
Cited for improving aerial inspection accuracy.

Defect prediction in power systems – Applied Sciences, 2024.
Cited for electrical system reliability diagnostics.

InSAR monitoring of Xinmo Village landslide – Photogrammetric Engineering and Remote Sensing, 2024.
Cited for landslide mapping precision.

Impervious surface extraction using Landsat and ML – Remote Sensing Applications: Society and Environment, 2023.
Cited for urban planning and environmental management.

Deep learning for satellite insulator detection – IEEE GRSL, 2023.
Cited for advancing satellite inspection techniques.

Reactor magnetic field simulation – IEEE Transactions on Power Delivery, 2023.
Cited for deep learning in energy systems.

Domain adaptation in land use classification – IEEE Transactions on Geoscience and Remote Sensing, 2023.
Cited for transfer learning in geospatial analytics

Conclusion

Zezhong Zheng is a highly accomplished researcher with a remarkable contribution to his field. His innovative work in remote sensing, machine learning applications, and environmental monitoring showcases his dedication to advancing both science and practical solutions for global challenges. With his expertise, impactful publications, and commitment to research excellence, he is undoubtedly a strong contender for the Best Researcher Award.

Richard Usang | Environmental Monitoring and Management | Best Researcher Award

Dr Richard Usang | Environmental Monitoring and Management | Best Researcher Award

Senior Data Scientist, Heineken UK, United KingdomΒ Β πŸ“˜

Dr. Richard Usang is a distinguished Chemistry expert and Data Scientist based in Southampton, United Kingdom. With a Ph.D. in Industrial & Environmental Chemistry and an MSc in Data Science, he has seamlessly integrated scientific research with advanced data analytics. His expertise spans industrial chemistry, environmental sustainability, artificial intelligence, and machine learning. Dr. Usang has a strong background in academic research, technical writing, and data-driven decision-making. His passion for innovation and problem-solving has led him to work on projects that bridge the gap between chemistry and AI, optimizing industrial processes and contributing to cutting-edge technological advancements.

Profile

Orcid

Education πŸŽ“

Dr. Usang holds an MSc in Data Science from the University of Sussex, United Kingdom, which he completed in September 2023. Prior to this, he earned a Ph.D. in Industrial & Environmental Chemistry from the University of Ibadan, Nigeria, in August 2021. His academic journey also includes an MSc in Industrial Chemistry, which he completed in November 2014, ranking in the top 1% of his class. His foundation in chemistry was established with a BSc in Chemistry from Benue State University, Nigeria, where he graduated as the top-ranking student in July 2011. His strong academic background reflects his commitment to excellence in scientific research and technological advancements.

Professional Experience πŸ’Ό

Dr. Usang currently serves as a Senior Data Scientist at Heineken UK, where he leads the development of Structural Equation Modelling frameworks to evaluate brand power and guide strategic marketing decisions. He has successfully implemented predictive models to optimize brewing parameters, reducing production variability and improving product quality. Previously, as a Lead Data Analyst at EMCOR UK, he significantly improved operational efficiency by reducing maintenance reporting time from three weeks to just four hours.

His tenure as a Data Scientist at The Heineken Company (2020–2022) saw him analyzing water chemistry across brewery sites, optimizing treatment processes, and reducing water treatment costs by 15%. He also developed forecasting models using machine learning, which led to a 10% reduction in overstock and a 5% increase in customer satisfaction. Prior to this, he worked as a Brewing Process Specialist at Heineken, overseeing production processes, training staff, and managing the installation of an anaerobic wastewater treatment plant in line with sustainability goals.

Dr. Usang’s academic career includes his role as a Research Assistant at the University of Ibadan, where he conducted extensive research on chemical processes and environmental impact. He contributed to multiple peer-reviewed publications and played a key role in mentoring undergraduate students in laboratory techniques and scientific analysis.

Research Interests πŸ”¬

Dr. Usang’s research interests lie at the intersection of chemistry, data science, and artificial intelligence. His expertise in Industrial and Environmental Chemistry drives his passion for sustainable solutions in manufacturing and waste management. He is highly skilled in machine learning, AI model evaluation, and natural language processing, which he applies to scientific data interpretation and optimization. His work in statistical and quantitative analysis supports his research in predictive modeling and AI-driven decision-making for industrial applications. His interdisciplinary approach ensures that his research contributes both to scientific knowledge and practical industrial solutions.

Awards and Recognitions πŸ†

Dr. Usang has earned numerous accolades throughout his academic and professional journey. He ranked first in his class during his BSc in Chemistry at Benue State University, a testament to his academic excellence. During his MSc in Industrial Chemistry at the University of Ibadan, he was among the top 1% of his cohort. His contributions to research and innovation have been recognized through international conferences and symposiums, where he has presented groundbreaking studies on chemical modifications and sustainability. His achievements in the corporate sector, particularly in data science applications in the brewing industry, further highlight his commitment to excellence and innovation.

Publications πŸ“š

Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment (2025). Published in Journal of Hydrology: Regional Studies. Link

Effect of Chemical Modification on the Functional and Physicochemical Properties of Some Underutilized Starches. Presented at the 2nd International Conference on Scientific Research and Innovation, University of Ibadan, Nigeria.

Synthesis, Aqueous Solubility Studies, and Antifungal Activity Test of Some Tributyltin(IV) Carboxylates.

Conclusion βœ…

Dr. Richard Usang is a highly qualified candidate for the Best Researcher Award, bringing a unique blend of Chemistry and Data Science expertise. His contributions to industrial chemistry, environmental sustainability, and AI applications in research make him a strong contender. Strengthening his publication record and expanding academic leadership roles could further solidify his standing in the field. πŸš€