英国贝尔法斯特女王大学留学项目宣介会

2012年哈尔滨工业大学（HIT）与英国贝尔法斯特女王大学（The Queen,s University of Belfast，简称QUB）签订了学生短期交流协议(6-12个月)、3+1+1学生联合培养协议、4+1学生联合培养协议，其中包括电气工程及其自动化、测控技术与仪器、自动化、通信工程、电子信息工程、计算机科学与技术、软件工程等专业。并与我校开展博士生联合培养计划、教师互访计划。

英国贝尔法斯特女王大学电气电子工程与计算机科学学院李慷教授与哈工大电气学院电器可靠性与测试技术研究所建立了密封电子元器件及电子设备多余物检测国际联合实验室，联合申请国家自然科学基金面上项目。双方联合开展的研究项目“密封电子元器件及电子设备多余物自动检测技术”获2014年国家科学技术进步二等奖；李慷教授还与电气学院电磁与电子技术研究所、电力科学与新技术研究所联合申请国家自然科学基金中英国际合作项目，关于电动车对电网的影响研究。目前他已与哈工大联合培养博士研究生5人。

为了进一步扩大两校在教学、科研和人才培养领域的交流与合作，2014年9月15日-18日李慷教授一行3人访问母校哈尔滨工业大学。Kang Li、Sean、David教授的主要研究方向：自动化，电力、通信、制造。

Kang Li、Sean、David将为我校学生做专题报告，其中包括贝尔法斯特女王大学及学院介绍，学术研究方向介绍，留学申请事宜等，并与同学们现场交流。机会难得，请欲留学英国的本科生、硕士生和博士生踊跃参加。

时间：9月17日18: 00-20:00

地点：正心楼308，40人（或正心楼310，120人）

备注1：英国贝尔法斯特女王大学及学生交流项目简介

英国贝尔法斯特女王大学属英国罗素联校二十所大学成员之一。始建于1845年维多利亚时代，是英国历史最悠久的十所大学之一。地处北爱尔兰，坐落于英国贝尔法斯特市的南部，建筑古色古香，环境宜人。该校高水平的教学和科研已在国际上享有盛誉。全英只有3所大学两次荣获英国高等教育和成人教育女王周年纪念奖，贝尔法斯特女王大学已获此殊荣。

哈尔滨工业大学与英国贝尔法斯特女王大学短期访学项目：大三、大四学年学生可申请国家留学生基金委资助，6-12月短期访学贝尔法斯特女王大学。

哈尔滨工业大学与英国贝尔法斯特女王大学3+1+1联合培养项目：第一阶段，在哈工大通过大学一~三年级学习；第二阶段，在女王大学进行为期两年学习。成绩合格者，可获哈尔滨工业大学工学学士学位，获英国贝尔法斯特女王大学工学硕士学位。

哈尔滨工业大学与英国贝尔法斯特女王大学4+1联合培养项目：第一阶段，在哈工大通过大学一~四年级学习，成绩合格者获哈尔滨工业大学工学学士学位；第二阶段，在女王大学进行为期一年学习，成绩合格者获英国贝尔法斯特女王大学工学硕士学位。

备注2：来访人员简介

1.Kang Li

Kang Li received the Ph.D. degree from Shanghai Jiaotong University, Shanghai, China, in 1995. He is currently a Professor of Intelligent Systems and Control in Energy, Electric Power and Intelligent Control Cluster, the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K, and chairs the School internationalization committee. His research interests include nonlinear system modeling, identification, and control, bio-inspired computational intelligence, and fault-diagnosis and detection, with recent applications to power systems and renewable energy, polymer extrusion processes, and electric vehicles. He is particularly interested in the development of control technologies for decarbonising the whole energy system from head to tail, considering generation, transmission and distribution, and user demands, and is currently leading a team to develop and commercialize a new generation of low cost minimal invasive intelligent energy and health monitoring system as well as intelligent control and optimization platform for energy saving, primarily for plastics industry, and with the aim to extend to other major energy intensive industries. Dr Li is also interested in bioinformatics with applications on food safety, healthcare, and biomedical engineering. He has published over 250 papers in his areas of expertise and edited 12 conference proceedings (Springer), and has led and participated in a number of research projects, including two major RCUK-EPSRC funded projects on sustainable energy, totalling over 5 million pounds.

Dr Li serves in the editorial boards of Neurocomputing, the Transactions of the Institute of Measurement and Control, International Journal of Modelling, Identification and Control, and Cognitive Computation. He chairs the IEEE UKRI Control and Communication Ireland chapter, and was the Secretary of the IEEE UKRI Section. He is also serving in the Executive Committee of the UK Automatic Control Council, IFAC Technical Committee on Computational Intelligence in Control, IEEE Computational Intelligence Society Neural Network Technical Committee, and Adaptive Dynamic Programming & Reinforcement Learning Technical Committee. He is a visiting professor of Harbin Institute of Technology, Shanghai University, and Ningbo Institute of Technology of Zhejiang University. He also held visiting fellowship or professorship at National University of Singapore, University of Iowa, New Jersey Institute of Technology, Tsinghua University, and Technical University of Bari, Taranto. Dr Li is a recipient of a number of awards, including an highly commended paper by International Journal of Systems Science, best paper award y LSMS-ICSEE 2010, young author best paper award of ICMIC 2011, Second prize of Science and Technology award by Shanghai Government, third prize of 2012 China international transducer and sensor innovation contest, the prestigious award of eastern scholar of Shanghai Government, and he was listed as the Queen’s people on global recognition in Vice Chancellor’s annual report 2011-2012..

2.Sean McLoone

Seán McLoone received his third level education at Queen's University Belfast (QUB), where he was awarded a Master of Engineering Degree with Distinction in Electrical and Electronic Engineering in 1992, a PhD in Control Engineering in 1996 and a Postgraduate Certificate in Higher Education Teaching in 2000.  He was a Postdoctoral Researcher (1996-1997) and Lecturer at QUB (1998-2002) and a Lecturer (2002-2005), Senior Lecturer (2005-2012) and Head of Department (2009-2012) at the Department of Electronic Engineering, NUI Maynooth before taking up his current post as Professor and Director of the Energy Power and Intelligent Control (EPIC) Research Cluster at QUB in January 2013. He also holds a joint appointment at the Department of Electronic Engineering, NUI Maynooth where he is academic lead partner for the Virtual Metrology and Predictive Maintenance Research Programme of the Irish Centre for Manufacturing Research (ICMR) and a co-PI on a ?4.5M SFI funded strategic research cluster grant (09/SRC/E1780) led by University College Dublin (UCD), on Sustainable Electrical Energy Systems (SEES).

Prof McLoone’s research interests are in the general area of intelligent systems with a particular focus on data based modeling and analysis of dynamical systems. This encompasses techniques ranging from classical system identification, fault diagnosis and statistical process control to modern artificial intelligence inspired adaptive learning algorithms and optimization techniques. Current research activities include optimization and control of renewable energy and demand side management systems, data analysis and signal processing for in-home health monitoring and assisted living technologies, algorithms for unsupervised sparse feature selection and clustering with application to large semiconductor manufacturing and geospatial data sets and virtual metrology, predictive maintenance and control of advanced manufacturing processes. His research has a strong application focus, with many projects undertaken in collaboration with industry in areas such as process monitoring, control and optimization, time series prediction and in-line sensor characterization.

Prof. McLoone also has an interest in autonomous robotics and was a founding member of Robo Eireann, an inter-disciplinary team of researchers at NUI Maynooth that compete annually in the NAO robot standard platform league of Robocup.

At a professional level, Prof McLoone is a Chartered Engineer, a Senior Member of the IEEE and a Fellow of the IET. He is a Past Chairman of the UK and Republic of Ireland (UKRI) Section of the IEEE. He is also an Associate Editor for the Transactions of the Institute of Measurement and Control, a Member of the Accreditation Board of Engineers Ireland, the IET Academic Accreditation Committee and the IFAC Technical Committee on Cognition and Control, and is the current Treasurer of the Irish Systems and Control Committee (ISCC), Ireland's NMO for IFAC. 

3.David Laverty

Dr Laverty joined the School of Electronics, Electrical Engineering and Computer Science as a lecture in 2011.  His research interests include anti-islanding protection for renewable generation and Smart Grid telecommunications infrastructure.  He is the founder of the OpenPMU project for the development of open source phasor measurement unit (PMU) technology which has been presented before the IEEE PES.

Dr Laverty teaches Energy Systems and Smart Grid and has a keen interest in the promotion of Science, Technology, Engineering and Mathematics (STEM) education.  He gives public talks to local professional, educational and charitable groups on topics including Renewable Energy and the technology behind household electronics.