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西交利物浦大学（苏州）/Muhammad Ateeq博士课题组 / 招博士研究生
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项目课题 A multiphase flowmeter based on comparison and cross-validation of dual Microwave sensing and Electromagnetic higher order imaging measurements techniques for the cross-section of oil-gas-water hold up and multiphase flow velocity 一种基于双微波传感与电磁高阶成像测量技术比较和交叉验证的多相流量计，用于油气水截面持率及多相流速测量 项目编号 SFXJTU2608 Brief introduction of the three supervisors (e.g. key academic background, work experience, research area, etc.) 三校导师简介，包括但不限于学术背景、工作经历及研究领域等 西交利物浦大学主导师Muhammad Ateeq博士现任物联网学院副教授、校级创新与技术发展平台创新工场主任。他拥有英国工程委员会授予的特许工程师资格，目前负责培训和指导专业工程师，并对其进行评估和面试，以协助其取得英国工程技术学会（IET）及英国工程委员会的专业注册资格。他的研究兴趣主要包括：工业微波技术（定制传感器与高功率微波处理）、传感器技术（工业传感器、定制传感器、感知技术）、工业 5.0 技术和可穿戴技术。 西安交通大学导师马璐博士，特聘研究员、博士生导师，持有英国工程理事会特许工程师（CEng）资质。她入选西安交通大学青年拔尖人才，并获评陕西省秦创原高层次创新创业人才。她的研究兴趣主要包括：电力能源设备状态感知与无损检测、能源工业过程参数智能监测、多模态电磁层析成像与智能反演。 利物浦大学导师黄宝茹博士现任利物浦大学计算机系助理教授。此前，她于伦敦帝国理工学院 Hamlyn Centre 获得博士学位，曾在 Meta现实实验室担任研究科学家，并在伦敦大学学院计算机系从事欧盟地平线计划资助的研究工作。她的研究兴趣主要包括：计算机视觉 - 三维视觉（3DV），场景理解，机器人技术 - 机器人操控，机器人视觉，医疗机器人，手术视觉 - 基础模型和图像引导介入。 西交利物浦大学副导师Mohd Rizal Arshad教授是控制与机器人系统领域的知名专家，尤其在海洋智能机器人系统的应用领域有着深厚造诣。他拥有超过25年的研发经验。他的研究兴趣主要包括：机器人学，图像处理和医学影像。 校外导师Naim Mahmood Musleh Ajlouni教授 的研究兴趣包括人工智能，机器学习，深度学习，量子机器学习，量子人工智能。 XJTLU Principal Supervisor: Dr Muhammad Ateeq joined the School of Internet of Things (IoT) as an Associate Professor. He also holds an administrative and management position as the Director of Innovation Factory, which is an XEC based university level platform for innovation and technology development. He holds a Chartered Engineer (CEng) status with the Engineering Council UK, and, currently train/mentor, assess and interview Professional Engineers for their Professional Registration status with IET and the Engineering Council UK. Dr Ateeq has the following research interests: Industrial Microwave technologies (bespoke sensors and high power microwave processing), sensor technologies (industrial, bespoke, perception), Industry 5.0 technologies, Wearable technologies. XJTU Superivosr: Dr Lu Ma is a Distinguished Research Fellow and PhD supervisor with a PhD in Electrical and Electronic Engineering (EEE). She is a Chartered Engineer (CEng) registered with the Engineering Council UK, a Young Top‑Tier Talent of Xi’an Jiaotong University, and a high‑level innovation‑and‑entrepreneurship talent under the Shaanxi Qinchuangyuan programme. She has the following research interests: Power and Energy Equipment Condition Sensing and Non-Destructive Testing, Intelligent Monitoring of Industrial Process Parameters in the Energy Sector, Multimodal Electromagnetic Tomography and Intelligent Inversion. UoL Supervisor: Dr Baoru Huang is currently an Assistant Professor in the Department of Computer Science at the University of Liverpool. Prior to this, she worked as a Research Fellow in the Department of Computer Science at University College London, funded by the EU Horizon. She completed her PhD at the Hamlyn Centre, Imperial College London and also had the privilege of working as a Research Scientist at Reality Labs, Meta (Facebook) before. She has the following research interests: Computer vision - 3DV, Scene understanding, Robotics - Robot manipulation, Robot vision, Medical Robotics, Surgical vision - Foundation model, Image-Guided Intervention. XJTLU Co-Supervisor: Professor Mohd Rizal Arshad is an expert in control and robotics systems, especially in the applications of marine intelligent robotics, having conducted research and development in this field for more than 25 years. He has the following research interests: Robotics, image processing, medical imaging. External Supervisor: Professor Naim Mahmood Musleh Ajlouni has the following research interests: AI, Machine Learning, Deep Learning, Quantum Machine Learning and AI. Key aspect/summary of your research project 项目简介 本项目提出开发一种将双微波传感器与电磁高阶成像技术集成于一体的测量系统，以克服现有技术在测量、监测和交叉验证油气水多相流截面持率及流速方面存在的缺陷。在石油天然气行业中，测量这些参数至关重要，有助于获取储层状况、生产能力、相态变化、最大流量信息等方面的认识。现有技术复杂、耗时、昂贵、精度不足，且无法提供及时信息。因此，本项目提出开发一种双测量系统，并集成人工智能（AI），通过充分发挥各项技术的各自优势并将其有机整合，实现对上述参数更准确、更精确的全面评估、测量与监测，从而形成一种更有效、更具创新性和新颖性的解决方案。 This project proposes the development of a dual microwave sensor and electromagnetic higher order imaging technique integrated into one package to overcome the drawbacks of existing techniques to measure and monitor and cross-validate the cross-section holdup and velocities of multiphase oil-gas-water system. It is crucial in oil and gas industry to measure these parameters to get insights into reservoir condition, production capability, phase variation, maximum flow information and so on. Existing techniques are complex, time consuming, expensive, inaccurate and do not provide timely information.This project thus proposes the development of a dual measurement system along with integrated AI to fully evaluate, measure and monitor the above parameters more accurately and precisely by capitalizing upon individual capabilities of the techniques and integrating them together to get a more effective, innovative and novel solution. 有意者请将个人简历及其他有助于申请的材料发送至 muhammad.ateeq@xjtlu.edu.cn 注: 不用跟帖，直接发邮件就行，主题请注明博士申请。 |
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2026-09-04 11:36:14, 275.67 K
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