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专业科研实验室

个人简介

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姓       名:Milembolo Miantezila Junior (李鲁)

出生年月:1994年5月

学历学位:研究生/博士

职称:讲师

职务:长春理工大学中山研究院 科研教师

所属导师类别:

1)无线通信与技术:博士生导师(中国学生0-1个名额/年,国际学生名额不限);

2)无线通信与技术:硕士生导师(中国学生4-6个名额/年,国际学生名额不限);

3)通信与信息工程:博士生导师(中国学生0-1个名额/年,国际学生名额不限);

4)通信与信息工程:硕士生导师(中国学生0-1个名额/年,国际学生名额不限);

注:申报本人博士生或硕士生的同学请留意,由于本人目前在中山研究院工作,所以您的主要学习地点也将在广东省中山市。

电子邮件:1312646412 @ qq.com

研究领域:智能信息处理与无线通信、通信信号处理、智能可穿戴传感技术、无人机水质检测技术、情感机器人设计。

Milembolo Miantezila Junior (李鲁)博士。美国曼德拉华盛顿研究员,中国政府杰出国际博士学者。长春理工大学博士,长春理工大学中山研究院科研员,福州外语外贸学院-大数据学院副教授,福建师范大学-数学与统计学院科研团队,之前4年在华为技术有限公司 -无线技术工程师,美国创新创业工程师协会认证一级职业工程师资质。作为项目团队成员完成纵向和横向科研项目2项,参与国家级省部级科研项目2余项。以第一作者/通信作者累计发表学术论文6余篇,其中SCI检索4篇,EI检索2篇。获授权国家发明专利1项.  


教育经历

2022年毕业于长春理工大学电子与信息工程专业,获工学博士学位;

2018年毕业于美国爱荷华大学创新创业企业家精神专业,获工学硕士学位;

2017年毕业于长春理工大学信息与通信工程专业,获工学硕士学位。

2014年毕业于长春理工大学通信工程专业,获工学学士学位。

2009年毕业于南京师范大学 汉语 专业 ,获语言专业证书


工作经历

2023年06月至今         长春理工大学中山研究院 科研教师

2022年06月至2023年05         福州外语外贸学院大数据学院 副教授

2019年07月-2021年12月  长春理工大学 电子信息工程学院 助教

2016年06月至2020年07月  华为技术有限公司 无线技术工程师

2016年01月-2016年06月  中山方圆技术有限公司技术工程师

2012年04月-2014年09月  中韩软件园有限公司软件开发工程师


所获荣誉

2020年12月:获中国政府杰出国际博士学

2018年09月:该奖项由美国国务院颁发2018年度曼德拉华盛顿研究员

2017年12月:华为公司优秀员工2017

2017年09月:华为公司优质恒星工程师

2017年06月:华为公司金色种子工程师

2016年12月:华为公司明日之星工程师

2016年10月:华为公司无线网络硬件装备优秀证书

2014年06月:长春理工大学优秀国际学生

 

研究方向

智能信息处理与无线通信、通信信号处理、智能可穿戴传感技术、无人机水质检测技术、情感机器人设计。

 

指导与教学

        任职以来累计主讲多门专业课程:

        主讲本科生课程《通信原理》、《信号处理》、《数字图像处理》、《大数据和数据处理》、《数据挖掘》、《专业英语》;

        主讲研究生课程《专业英语》、《智能信息处理》。

 

代表性科研项目

任职以来,主持和参与纵向横向科研教/工程项目10余项,部分科研项目如下:

 

科研项目

    主持项目:

        2022年 基于传感频谱共享的大规模MIMO无人机跟踪和拦截雷达技术研究

        2022年 无线功率传输用偶极子发射机阵列的设计分析技术研究

        2021年 无线功率传输系统的补偿拓扑特性技术研究

        2021年 基于干扰消除的大规模MIMO通信系统频谱共享技术研究

        2020年 基于信道分配的主用户信道状态预测和DBHMM技术研究

        2018年 基站控制器(BSC) 和无线配置与集成系统开发

        2017年 无线网络控制器(RNC)与集成 GSM、UMTS、LTE系统开发

 

代表性论文

        任职以来,发表学术论文共计6余篇,其中SCI收录4篇,EI收录2篇。部分学术论文如下(*为通讯作者):

” Primary User Channel State Prediction Based on Channel Allocation and DBHMM” IEEE 2020, https://doi.org/10.1109/cyberc49757.2020.00063

“Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems” Sensors 2021,

https://doi.org/10.3390/s21113584

“Characterization of Compensation Topologies for Wireless Power Transfer System” IEEE 2021,

10.1109/ICECCME52200.2021.9590980

“Sensing Spectrum Sharing based massive MIMO Radar for Drone tracking and Interception”, PlosOne Engineering and Technology 2022, 10.1371/journal.pone.0268834

“Design Analysis of Array of Dipole Transmitters for Wireless Power Transfer”, Emitter International Journal of Engineering Technology 2022, https://doi.org/10.24003/emitter.v10i1.638

"Multistatic Passive Radar for drone detection based Random Finite State"  EMITTER International Journal of Engineering Technology Vol. 11, No. 2, 2023.


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Curriculum Vitae

Milembolo Miantezila Junior (李鲁)  Ph.D., Mandela Washington Fellow in the United States and distinguished International doctoral Scholar from the Chinese government. Doctor of Changchun University of Science and Technology, research scientist at Zhongshan Institute of Changchun University of Science and Technology, previously associate professor from Fuzhou University of International Studies and trade from the department of Big Data and former research team of Fujian Normal University - School of Mathematics and Statistics. Worked for 4 years in Huawei Technologies Co., LTD. As Wireless Technology engineer, Entrepreneurship Engineers certified first-class professional engineer qualification from the University of Iowa (USA). As a member of scientific project team, has participated in more than 2 national provincial and ministerial scientific research projects. He has published more than 6 academic papers as the first author/corresponding author, of which 4 were indexed by SCI and 2 by EI. One national invention patent was authorized.

 

Position: Research Scientist at Zhongshan Institute of Changchun University of Science and Technology

Research fields: intelligent information processing and wireless communication, communication signal processing, intelligent wearable sensing technology, drone water quality detection technology, emotional robot design.

Subject and Tutor category:

 

Education and Training:

In 2022, he graduated from Changchun University of Science and Technology, majoring in Electronics and Information Engineering, and obtained a Doctor's degree in engineering.

In 2018, he graduated from the University of Iowa with a master's degree in Innovation and entrepreneurship .

In 2017, he graduated from Changchun University of Science and Technology with a master's degree in Information and Communication Engineering.

In 2014 He graduated from Changchun University of Science and Technology with a Bachelor's degree in Communication Engineering .

In 2009, he graduated from Nanjing Normal University majoring in Chinese and obtained the language professional certificate

 

Academic and Professional Position:

June 2023 - Research Scientist at Zhongshan Institute of Changchun University of Science and Technology

June 2022 - May 2023 Associate Professor at School of Big Data from Fuzhou University of International Studies and Trade

July 2019 - December 2021 Lecturer, School of Electronic Information Engineering, Changchun University of Science and Technology

June 2016 to July 2020 Wireless Technology Engineer at Huawei Technologies Co., LTD

January 2016 - June 2016 Zhongshan Fangyuan Technology Co., LTD. Technical Engineer

April 2012 - September 2014 Software developer Engineer at China-Korea Software Park Co., LTD        

 

Research Interests:

        Intelligent information processing and wireless communication, communication signal processing, intelligent wearable sensing technology, drone water quality detection technology, emotional robot design.


Category of subject and mentor:

1) wireless communication and technology: doctoral tutor (Chinese students 0-1 quota/year, and international student);

2) wireless communication and technology: master tutor (Chinese students 4-6, and international student);

3) communication and information engineering: doctoral supervisor (Chinese students 0-1 quota/year, and international student);

4) communication and information engineering: master supervisor (Chinese students 0-1 quota/year, and international student );

Note: To whom it may concern: the graduate student who applies my supervision please be aware that the majority period of your study is required to be performed at Zhongshan city, Guangdong province, China.

 E-mail Address: 1312646412@qq.com

 

Teaching Modules:

        Teaching and taught modules since 2020:

        Teaching undergraduate courses "Communication Principles", "Signal Processing", "Digital Image Processing", "Big Data and Data Processing", "Data Mining", "Professional English";

He taught the postgraduate courses "Professional English" and "Intelligent Information Processing".

        Supervised and supervising: 15 Master students.

 

Research projects:

Currently, my team and I are working on the whole solution of emotional robot and embedding sensing technology development. The research projects are mostly relevant with this robotic fields. We also focuse on some specific wireless sensing devices developing.

 

Selected Papers:

” Primary User Channel State Prediction Based on Channel Allocation and DBHMM” IEEE 2020, https://doi.org/10.1109/cyberc49757.2020.00063

“Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems” Sensors 2021,

https://doi.org/10.3390/s21113584

“Characterization of Compensation Topologies for Wireless Power Transfer System” IEEE 2021,

10.1109/ICECCME52200.2021.9590980

“Sensing Spectrum Sharing based massive MIMO Radar for Drone tracking and Interception”, PlosOne Engineering and Technology 2022, 10.1371/journal.pone.0268834

“Design Analysis of Array of Dipole Transmitters for Wireless Power Transfer”, Emitter International Journal of Engineering Technology 2022, https://doi.org/10.24003/emitter.v10i1.638

"Multistatic Passive Radar for drone detection based Random Finite State"  EMITTER International Journal of Engineering Technology Vol. 11, No. 2, 2023.

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