Prof. Dr. Bo QIU | AI for Astronomy
| Best Researcher Award

Professor at University of Science and Technology Beijing, China

Professor Bo Qiu is an esteemed scholar in AI for astronomy with over 25 years of experience. He received his B.E. from Tsinghua University (1995), M.E. from China Space (1998), and Ph.D. from the Chinese Academy of Sciences (2002). He has served internationally as a postdoc at Creatis (CNRS, France), a scientist at I²R (Singapore), and was director at Hebei University of Technology. Currently a professor at the University of Science and Technology Beijing, he has authored 100+ papers, filed 25+ patents, and led major astronomical AI innovations. He is Editor-in-Chief of Open Access Journal of Astronomy, a senior reviewer for MDPI, and collaborates with leading astronomical institutions globally.

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Education

Professor Bo Qiu holds a B.E. in Engineering from Tsinghua University (1995), an M.E. from China Space (1998), and a Ph.D. in Pattern Recognition from the Chinese Academy of Sciences (2002). His education laid a strong foundation for his career in artificial intelligence and astronomy. During his doctoral studies, he focused on pattern recognition and information science, which later guided his transition into astronomical data mining. His international postdoctoral research at Creatis (CNRS, INSA-Lyon, France) further strengthened his expertise in medical and astronomical imaging, while shaping his interdisciplinary academic approach. His educational background blends deep technical knowledge with innovative problem-solving strategies central to his success in AI for astronomy.

work Experience

Bo Qiu’s professional journey spans academia, international research institutions, and leadership roles. He began as a postdoctoral fellow at Creatis (CNRS, INSA-Lyon), France, then became a scientist at the Institute for Infocomm Research (A*STAR), Singapore. He returned to China as director of the Department of Electronic and Information Engineering at Hebei University of Technology, where he founded the Joint Lab of Astronomical Information Technology. Currently, he is a professor at the University of Science and Technology Beijing. His vast experience includes over 100 consultancy/industry projects and participation in 10 major research projects (national/provincial). His career reflects a balance of academic leadership, innovation management, and cutting-edge interdisciplinary research.

Research Focus

Professor Bo Qiu focuses on the integration of artificial intelligence with astronomy, with specific interest in machine learning, deep learning, image processing, and astronomical information mining. He leads cutting-edge projects in automated stellar classification, galaxy image super-resolution, GAN-based synthetic data for astrophysical applications, and LAMOST 2D spectral analysis. His contributions are unique in that they enhance traditional astrophysical data processing through AI, resulting in higher efficiency, accuracy, and novel discoveries. His work emphasizes real-world implementation, bridging theory and practice, and has influenced the development of astronomical pipelines. Bo’s research impacts extend to catalog generation, anomaly detection, and resolution reconstruction, creating a lasting footprint in next-generation astronomical data analysis.

Awards and honors

Professor Bo Qiu’s recognition includes numerous roles reflecting his influence in academia and innovation. While formal award listings are not specified, his prestigious appointments highlight his standing: Editor-in-Chief of Open Access Journal of Astronomy, senior reviewer for MDPI journals, and key collaborator with the Chinese Academy of Sciences. His pioneering research has resulted in 25 patents and high-impact publications in journals like MNRAS and ASOC. Establishing China’s first AI-based astronomical catalogue of 50 million stars, his contributions are widely cited (445 SCI citations). His leadership in founding research labs and directing major academic departments demonstrates trust and respect from the scientific community—meriting recognition for excellence and innovation.

Conclusion

Professor Bo Qiu is an ideal candidate for the Best Researcher Award due to his:Deep expertise across multiple fields.High-impact publications and innovations.Leadership in research, collaboration, and mentorship.Proven ability to bridge academia and real-world applications.

Publications to Noted

- Review of smart home energy management systems
  Y. Liu, B. Qiu, X. Fan, H. Zhu, B. Han
  Energy Procedia, 104, pp. 504–508 (2016)
  Citations: 119
- Energy visualization for smart home
  X. Fan, B. Qiu, Y. Liu, H. Zhu, B. Han
  Energy Procedia, 105, pp. 2545–2548 (2017)
  Citations: 49
- CloudU-Net: A deep convolutional neural network architecture for daytime and nighttime cloud images’ segmentation
  C. Shi, Y. Zhou, B. Qiu, D. Guo, M. Li
  IEEE Geoscience and Remote Sensing Letters, 18(10), 1688–1692 (2020)
  Citations: 48
- Deep learning applications based on SDSS photometric data: detection and classification of sources
  Z. He, B. Qiu, A.L. Luo, J. Shi, X. Kong, X. Jiang
  MNRAS, 508(2), 2039–2052 (2021)
  Citations: 37
- Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks
  C. Shi, Y. Zhou, B. Qiu, J. He, M. Ding, S. Wei
  Atmospheric Measurement Techniques, 12(9), 4713–4724 (2019)
  Citations: 27
- CloudU-Netv2: A cloud segmentation method for ground-based cloud images based on deep learning
  C. Shi, Y. Zhou, B. Qiu
  Neural Processing Letters, 53(4), 2715–2728 (2021)
  Citations: 23
- Classification for unrecognized spectra in LAMOST DR6 using generalization of convolutional neural networks
  Z.P. Zheng, B. Qiu, A.L. Luo, Y.B. Li
  Publications of the Astronomical Society of the Pacific, 132(1008), 024504 (2020)
  Citations: 23
- A novel method for ground-based cloud image classification using transformer
  X. Li, B. Qiu, G. Cao, C. Wu, L. Zhang
  Remote Sensing, 14(16), 3978 (2022)
  Citations: 18
- An all-sky camera image classification method using cloud cover features
  X. Li, B. Wang, B. Qiu, C. Wu
  Atmospheric Measurement Techniques, 15(11), 3629–3639 (2022)
  Citations: 15
- CloudRaednet: Residual attention-based encoder–decoder network for ground-based cloud images segmentation in nychthemeron
  C. Shi, Y. Zhou, B. Qiu
  International Journal of Remote Sensing, 43(6), 2059–2075 (2022)
  Citations: 15

Bo QIU | AI for Astronomy | Best Researcher Award

Prof. Dr. Bo QIU | AI for Astronomy
| Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

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Prof. Dr. Bo QIU | AI for Astronomy | Best Researcher Award

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Prof. Dr. Bo QIU | AI for Astronomy
| Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted