PhD candidate University of Electronic Science and Technology of China
Pakezhamu Nuradili, a native of China, is a Ph.D. student specializing in Information and Communication Engineering. She is currently enrolled in a joint Ph.D. program between the University of Electronic Science and Technology of China (UESTC) and the University of Trento, Italy. Her expertise spans deep learning-based image processing, semantic segmentation, and thermal infrared imaging. Known for her attention to detail and excellent communication skills in multiple languages, she excels in both technical and interpersonal domains.
Profile
Orcid
Education 🎓
- High School: Jiangpu Senior High School, Jiangsu Province, China (2010–2013)
- Bachelor’s Degree: Electronics and Information Engineering, Hebei University of Science and Technology (2013–2017)
- Master’s Degree: Radio Physics, Yili Normal University, China, focusing on face recognition algorithms (2017–2020)
- Ph.D.: Information and Communication Engineering, UESTC, with a joint program at the University of Trento, Italy (2021–Present)
Work Experience 💼
- Teaching:
- Substitute Teacher, Basic Computer Applications, Silk Road College of Ili (2017–2018)
- Graduate Assistant, Basic Computer Applications, Yili Normal University (2018–2019)
- Substitute Teacher, Advanced and Intermediate Mathematics, Ili Vocational and Technical College (2020–2021)
- Graduate Teaching Assistant, Principles of Remote Sensing, UESTC (2022)
- Volunteering: Marathon Distance Race Volunteer, Trento, Italy (2024)
Research Interests 🔬
Pakezhamu’s research focuses on:
- Deep learning-based image processing and semantic segmentation.
- Thermal infrared and multispectral imaging for UAV applications.
- Wetland segmentation using advanced models like SegFormer.
Awards 🏆
- Hebei Provincial Inspiration Scholarship (2016)
- Outstanding Graduation Design Award, Hebei University of Science and Technology (2017)
- Graduate Student Scholarship, Yili Normal University (2018)
- Xinjiang Autonomous Region Postgraduate Scholarship (2019)
- UESTC Academic Scholarships (2022, 2023, 2024)
- Outstanding Teaching Assistant Award, UESTC (2022)
Publications Top Notes: 📚
P. Nuradili et al., “UAV Remote-Sensing Image Semantic Segmentation Strategy Based on Thermal Infrared and Multispectral Image Features,” IEEE Journal on Miniaturization for Air and Space Systems, 4(3): 311-319, Sept. 2023. Cited by: 5
Nuradili, P. et al., “Semantic segmentation for UAV low-light scenes based on deep learning and thermal infrared image features,” International Journal of Remote Sensing, 45(12): 4160–4177, 2024. Cited by: 8
Nuradili, P. et al., “Wetland Segmentation Method for UAV Multispectral Remote Sensing Images Based on SegFormer,” IGARSS 2024 IEEE Symposium, 2024. Cited by: 3
Nuradili, P. et al., “Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery,” Remote Sensing, 16(24): 4777, 2024. Cited by: 6
Nuradili, P. et al., “Fire Detection Based on Deep Learning Segmentation Methods,” Journal TBD, 2024 (Under Process).
Wang, Z. et al., “Removing temperature drift and temporal variation in thermal infrared images of a UAV uncooled thermal infrared imager,” ISPRS Journal of Photogrammetry and Remote Sensing, 203: 392-411, 2023. Cited by: 12