Associate Professor Beijing Information Science and Technology University China
Dr. Qili Chen is an accomplished Associate Professor at Beijing Information Science and Technology University, specializing in artificial neural networks and intelligent systems. With a strong academic foundation and global collaboration experience, she has contributed significantly to the fields of deep learning and small object detection. Her academic journey reflects both international exposure and commitment to scientific excellence, having visited the University of Wisconsin, Milwaukee during her Ph.D. studies. Dr. Chen is a passionate researcher recognized for her innovative work in neural modeling and optimization.
Profile
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🎓 Education
Dr. Chen received both her Master’s (2010) and Ph.D. (2014) degrees in Pattern Recognition and Intelligent System from Beijing University of Technology. During her doctoral studies, she broadened her research perspective through a visiting scholar program (Sept 2012–Aug 2013) at the Department of Mathematical Sciences, University of Wisconsin, Milwaukee, USA.
💼 Experience
Dr. Qili Chen currently serves as an Associate Professor at Beijing Information Science and Technology University. She has led and participated in 14 research projects, collaborated with global researchers such as Doug Briggs and Yi Ming Zou, and contributed to both academia and industry through research consultancy. She also served as a Track TPC Member for the 2023 IEEE ICICN Conference. With memberships in prestigious AI and automation committees in China, her professional presence is robust and influential.
🔬 Research Interests
Her primary research interests include Artificial Neural Networks, Small Object Detection, Modelling, and Optimal Control. Dr. Chen focuses on improving aerial image analysis by enhancing deep learning strategies for detecting small objects—an area critical for applications in surveillance, environmental monitoring, and autonomous systems.
🏆 Awards
Dr. Chen has been nominated for the Best Researcher Award for her remarkable contributions to deep learning and remote sensing applications. Her research has high impact with 788 citations and an H-index of 10, signifying wide academic recognition. She has authored 1 book, published 3 patents, and contributed to 20 peer-reviewed journals, strengthening her candidacy as an innovative leader in AI.
📚 Publications Top Notes:
Here are selected publications authored by Dr. Qili Chen, including publication years, journal details, and citation counts:
“A survey of small object detection in aerial images via deep learning”
Published in: Artificial Intelligence Review, 2025
🔗 Link to Publication
📝 Cited by: 5 articles
Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network
Research on an online self-organizing radial basis function neural network
Road safety performance function analysis with visual feature importance of deep neural nets
An adaptive hybrid attention based convolutional neural net for intelligent transportation object recognition
Accurate ovarian cyst classification with a lightweight deep learning model for ultrasound images
The Chemical Oxygen Demand Modeling Based on a Dynamic Structure Neural Network
An improved picture‐based prediction method of PM2. 5 concentration