名字：BHATTI UZAIR ASLAM (尤佳)
科系：|人工智能系|
学历职称：副研究员(Associate Professor)
导师：博士/硕士研究生导师
研究方向：人工智能，深度学习，图片处理，医学信息学
联系方式：uzair@hainanu.edu.cn
基本情况：巴基斯坦；博士，博士后；
通讯地址：海南大学信息与通信工程学院214办公室
电话：13215834970 (微信)
学习和工作经历：
2021年11月至今海南大学信息与通信工程学院副研究员(海南省E类高层次人才)
2019年11月-2021年10月南京师范大学地科院博士后
2019年01月-2019年06月海南大学旅游学院讲师
博士招生专业：信息与通信工程
硕士招生专业：电子信息专业
主持或参与科研项目：
[1]2024年-2024年,主持国家自然科学基金外国学者青年项目“基于光谱特征融合的高光谱图像分类方法”
[2]2022年-2026年,主持海南大学科研启动基金项目“基于GCN和注意力机制的深度学习方法在医学诊断与分析领域的应用与研究”
[3]2023年-2026年,参与海南省自然科学基金青年基金项目“模型驱动的数字孪生服务组合优选方法”
[4]2023年-2026年,参与海南省自然科学基金面上项目“数字超表面辅助毫米波车联网通信传输技术研究”
（可包含论文、专利、著作等）：
学术成果
[1]Bhatti, U. A, Tang, H, Khan, A, Ghadi, Y. Y, Bhatti, M. A, & Khan, K. A. (2024). Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach. Gondwana Research, 130, 308-325.(一区，IF 6.1, JCR Q1)
[2]Bhatti, U. A, Bhatti, M. A, Tang, H, Syam, M. S, Awwad, E. M, Sharaf, M, & Ghadi, Y. Y. (2024). Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability. Environmental Research, 245, 118049.(二区，IF 8.2, JCR Q1)
[3]Zhang, Y, Chen, J, Ma, X, Wang, G,Bhatti, U. A.*, & Huang, M. (2024). Interactive medical image annotation using improved Attention U-net with compound geodesic distance.Expert Systems with Applications,237, 121282.(一区，IF 8.5, JCR Q1)
[4]Noor, R, Wahid, A, Bazai, S. U, Khan, A, Fang, M, Syam,Bhatti, U. A.*.& Ghadi, Y. Y. (2024). DLGAN: Undersampled MRI reconstruction using Deep Learning based Generative Adversarial Network. Biomedical Signal Processing and Control, 93, 106218.(二区，IF 5.1, JCR Q1)
[5]Huang, M, Zhang, X. S,Bhatti, U. A, Wu, Y, Zhang, Y, & Ghadi, Y. Y. (2024). An interpretable approach using hybrid graph networks and explainable AI for intelligent diagnosis recommendations in chronic disease care. Biomedical Signal Processing and Control, 91, 105913.(二区，IF 5.1, JCR Q1)
[6]Bhatti, U. A, Marjan, S, Wahid, A, Syam, M. S, Huang, M, Tang, H, & Hasnain, A. (2023). The effects of socioeconomic factors on particulate matter concentration in China's: New evidence from spatial econometric model. Journal of Cleaner Production, 417, 137969. IF 11.1(一区，IF 11.1, JCR Q1)
[7]Bhatti, U. A,Tang, H, Wu, G, Marjan, S, & Hussain, A. (2023). MFFCG – Multi feature fusion for hyperspectral image classification using graph attention network, Expert System with Applications. IF 8.1(一区，IF 8.5, JCR Q1)
[8]Bhatti, U. A, Tang, H, Wu, G, Marjan, S, & Hussain, A. (2023). Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence. International Journal of Intelligent Systems, 2023.(二区，IF 7.1, JCR Q1)
[9]Tang, H,Bhatti, U. A, Li, J, Marjan, S, Baryalai, M, Assam, M, ... & Mohamed, H. G. (2023). A new hybrid-forecasting model based on dual series decomposition with long-term short-term memory. International Journal of Intelligent Systems, 2023.(二区，IF 7.1, JCR Q1)
[10]Wang, S, Khan, A, Lin, Y, Jiang, Z, Tang, H, Alomar, S. Y, ... &Bhatti, U. A. (2023). Deep reinforcement learning enables adaptive-image augmentation for automated optical inspection of plant rust. Frontiers in Plant Science, 14, 1142957.(二区，IF 5.6, JCR Q1)
[11]Bhatti, U. A,Nizamani, M. M, & Mengxing, H. (2022). Climate change threatens Pakistan’s snow leopards.Science, 377(6606), 585-586. IF 63.4(一区，IF 63.6, JCR Q1)
[12]Bhatti, U. A,Zeeshan, Z, Nizamani, M. M, Bazai, S, Yu, Z, & Yuan, L. (2022). Assessing the change of ambient air quality patterns in Jiangsu Province of China pre-to post-COVID-19. Chemosphere, 288, 132569.(二区，IF 8.1, JCR Q1)
[13]Bhatti, U. A, Yu, Z, Li, J, Nawaz, S. A, Mehmood, A, Zhang, K, & Yuan, L. (2021). Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification with Deep CNN and Gabor Filtering. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,(一区，IF 8.9, JCR Q1)
专利：
l尤佳(Uzair)，基于GAT和3D-CNN的多特征融合高光谱图像分类方法
l尤佳(Uzair),种臭氧浓度预测方法、装置、设备及可读存储介质
l尤佳(Uzair),一种脑肿瘤MRI图像分割方法、系统、电子设备及存储介质
l尤佳(Uzair),一种基于EEMD-CEEMDAN结合LSTM的混合时间序列数据预测方法
l尤佳(Uzair),基于深度学习的生成对抗网络方法的DLGAN架构
l尤佳(Uzair),用于高光谱图像分类的方法
l尤佳(Uzair), U-V的特征增强融合用于脑肿瘤MRI图像分割的方法
l尤佳(Uzair),基于MSSARN框架的高光谱图像分类模型及分类方法
奖项与荣誉
l四个图像处理优秀论文奖.
lChinese Government Scholarship for doctoral studies.
lOutstanding postdoctoral candidate from Nanjing normal university at the School of Geography (Remote Sensing and GIS) of Nanjing Normal University.
lTalent young scientist award (TYSP) from Pakistan Science Foundation (PSF) for post-doctoral.
专著发表：
·Uzair Aslam Bhatti, Deep Learning for Multimedia Processing Applications Volume One: Image Security and Intelligent Systems for Multimedia Processing Volume 1https://www.routledge.com/Deep-Learning-for-Multimedia-Processing-Applications-Volume-Two-Signal-Processing-and-Pattern-Recognition/Bhatti-Mengxing-Li-Bazai-Aamir/p/book/9781032623344
·Uzair Aslam Bhatti,Deep Learning for Multimedia Processing Applications Volume Two: Signal Processing and Pattern Recognition Volume 2.https://www.routledge.com/Deep-Learning-for-Multimedia-Processing-Applications-Volume-One-Image-Security-and-Intelligent-Systems-for-Multimedia-Processing/Bhatti-Mengxing-Li-Bazai-Aamir/p/book/9781032548241
