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<h2>吴若晨<br>
<span style="font-family:Georgia;font-size:24px">RUOCHEN WU</span></h2>
<h3>PI - Personal Investigador</h3>
<h3>Centre Específic de Recerca en Comunicació i Detecció UPC (CommSensLab-UPC)</h3>
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<h1 style="font-family:Georgia">¡Hola!</h1>
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<li>Siempre avanzando con los códigos a pasos agigantados...</li>
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<i>“无形战线 无私奉献 无名英雄 无上光荣”</i>
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<p style="text-align:justify">WU Ruochen, currently a Ph.D. candidate in Signal Theory and Communications at Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, under the supervision of Prof. <a href="https://futur.upc.edu/AntoniBroquetasIbars?locale=en" target="_blank">Antoni Broquetas Ibars</a> and Prof. <a href="https://futur.upc.edu/JordiJoanMallorquiFranquet?locale=en" target="_blank">Jordi J. Mallorqui Franquet</a>. He received his M.Sc. Degree in Geomatics Engineering and Geoinformation (with specializations in both Signal Processing, Remote Sensing and Communications) from Universitat Politècnica de València (UPV), València, Spain, in 2021 under the supervision of Prof. <a href="http://www.upv.es/ficha-personal/laruiz" target="_blank">Luis Ángel Ruiz Fernández</a>, and a Diploma in Photogrammetry and Remote Sensing Technology from Yellow River Conservancy Technical Institute (YRCTI), Kaifeng, China, in 2017 <sup><a href="javascript:" onclick="document.querySelector('#hneaie').scrollIntoView({behavior:'smooth'})">1</a></sup> under the supervision of Assoc. Prof. <a href="pub/ZhangDan.pdf" target="_blank">Dan Zhang</a> (张丹). He is being supported by the China Scholarship Council (CSC) <sup><a href="javascript:" onclick="document.querySelector('#csc').scrollIntoView({behavior:'smooth'})">2</a></sup> to pursue his Ph.D. degree at the <a href="https://ars.upc.edu/people" target="_blank">Active Remote Sensing Group (ARS)</a>, which is a part of the <a href="https://futur.upc.edu/RSLAB" target="_blank">Remote Sensing Laboratory (RSLAB)</a>, a research line of the <a href="https://commsenslab.upc.edu" target="_blank">Centre Específic de Recerca en Comunicació i Detecció UPC</a> <img src="images/CommSensLab_logo.png" style="width:21px"> (Group of Remote Sensing, Antennas, Microwaves and Superconductivity, CommSensLab-UPC) <sup><a href="javascript:" onclick="document.querySelector('#lab').scrollIntoView({behavior:'smooth'})">3</a></sup> that deeply collaborate with the <a href="https://futur.upc.edu/SPCOM?locale=en" target="_blank">Signal Processing and Communications Group (SPCOM)</a>, Department of Signal Theory and Communications <img src="images/tsc_logo.png" style="height:21px"> (Teoria del Senyal i Comunicacions, TSC).</p>
<p style="text-align:justify"><b>Research Interests:</b> Intelligent Signal & Information Processing, Micro-Motion Signal Detection, Ubiquitous Computing (Ubicomp) and Millimeter-Wave (mmWave) IntelliSense, Smart Internet of things (IoT), Information Security, Artificial Intelligence (AI), Radar/Signal Reconnaissance (SIGINT), and Situation Awareness (SA).</p>
<p style="text-align:justify"><b>Past Interests:</b> Computer Vision, Imagery intelligence (IMINT) Acquisition and Processing, Remote Sensing Image (2D-Signal) Interpretation/Processing/Classification, Full–spectrum Intelligence, Surveillance and Reconnaissance, and Geospatial Intelligence (GEOINT).</p>
<p><b>Professional Activities:</b>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>15/11/2024</em></span> — One paper has been accepted for publication in MDPI-<i>Sensors</i>! <a target="_blank" href="pub/Acceptance-Certificate-sensors.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Acceptance+Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>06/06/2024</em></span> — One of the first members of the Association of China-Spain Science and Technology (CSST). <a target="_blank" href="pub/member_CSST.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Membership+Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>15/12/2023</em></span> — Director Xiaosong Wu from the Graduate Work Department of the <a href="https://www.nudt.edu.cn/" target="_blank">National University of Defense Technology</a> (NUDT) led a delegation to visit UPC to negotiate cooperation on key disciplinary groups. <a target="_blank" href="pub/nudt1.jpg"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Photo+1&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a>, <a target="_blank" href="pub/nudt2.jpg"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Photo+2&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>06/06/2023</em></span> — Research activity and technical visit: <a href="https://www.bsc.es/" target="_blank">Barcelona Supercomputing Center-Centro Nacional de Supercomputación</a> (BSC-CNS)</div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>15/05/2023</em></span> — Ordinary Member of the <a href="http://www.c2.org.cn/" target="_blank">Chinese Institute of Command and Control</a> (CICC). <a target="_blank" href="pub/member_cicc.jpg"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Membership+Card&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>22/02/2023</em></span> — Presentation and defense of the Ph.D. Thesis Proposal (Research Plan).</div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>05/05/2022</em></span> — Third candidate in the reserve list of Grants for Pre-doctoral Contracts for the Doctors Training 2021, State Plan for Scientific and Technical Research and Innovation 2021-2023, Agencia Estatal de Investigación (AEI). <a target="_blank" href="pub/N1568429.PDF"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Evaluation+Report&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>14/03/2022</em></span> — Cross-training Activity: Workshop on professional perspectives of PhD graduates - The Collaborative Workshop on the Architecture of Smart Cameras (WASC 2022), <i>IEEE Spanish Chapter of the Circuits and Systems Society & ACHIEVE-ITN</i>. <a target="_blank" href="pub/Certificado_WASC2022.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>08/12/2021</em></span> — Student Member of the Electronic Countermeasure Society of the <a href="https://www.cie.org.cn/" target="_blank">Chinese Institute of Electronics</a> (CIE). <a target="_blank" href="pub/member_cie.png"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Membership+Card&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>31/05/2021</em></span> — Master's Thesis (TFM) is included in the database of RiuNet UPV.</div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>23-24/05/2019</em></span> — Research activities and technical visits: <a href="https://www.ign.es/web/ign/portal/qsm-cnig" target="_blank">National Centre for Geographic Information</a> (CNIG/ING), <a href="https://astronomia.ign.es/web/guest/oan/acercade" target="_blank">National Astronomical Observatory</a>, and <a href="https://www.inta.es/INTA/en/quienes-somos/" target="_blank">National Institute of Aerospace Technology</a> (INTA). <a target="_blank" href="https://www.facebook.com/GeomaticaUPV/posts/pfbid0zvdPMdTqd4hcb5Teercekj8MU4MUgEFqXrijpVfReKxLwokahma3HPgy1Kfxxjsl"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=News-1&color=1877F2&logo=Facebook&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://www.facebook.com/GeomaticaUPV/posts/pfbid02wrzJRegHMEJtGhSJA6nykuCFkgHAu5pGBzsjmsz4TjSMt1kWKuGsEbDrT6ZvDo5Sl"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=News-2&color=1877F2&logo=Facebook&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://twitter.com/GeomaticaUPV/status/1131686085631856641"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=News&color=000000&logo=X&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>23-24/05/2016</em></span> — Instrument Support Staff of Survey and Mapping Competitions (Higher Vocational Group) of National Vocational Students Skills Competition. <a target="_blank" href="pub/award_yrcti.jpg"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Unit+Award+Certificate&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a></div>
<div><span style="font-family:Trebuchet MS;font-weight:700"><em>20/04/2016</em></span> — Participation in the mission of digital cartography in a certain region of China. [<font color="red">Secret Project</font>]</div>
</p>
<br>
<p><b style="color:red">Special Mention</b>
<div id="hneaie">1. Sent to study in Spain by Henan Education Association for International Exchange (HNEAIE) after graduation.</div>
<div id="csc">2. Free tuition for CSC-UPC Scholarships Ph.D. student.</div>
<div id="lab">3. Unidad de Excelencia Maria de Maeztu (MINECO Grant: MDM-2016-0600) financed by the AEI, Spain.</div>
<div style="font-family:Trebuchet MS"><b>Acknowledgment:</b> Oficina de Asuntos Educativos, <em>Embajada de la República Popular China en el Reino de España</em></div>
</p>
<br>
<p><b>Hobbies:</b> Strolling (Citywalk), automotives (Citydrive), GTA, LEGO, listening to cross talk, and open source intelligence (OSINT) analysis in X field.</p>
</div>
</div>
</div>
</div>
</div>
<div class="pagecontents">
<div class="section color-1">
<div class="section-container">
<div class="row">
<div id="education" class="col-md-10 col-md-offset-1">
<div class="title text-center">
<h3>Education</h3>
<i class="quote"> </i>
</div>
<ul class="ul-card">
<li>
<div class="dy">
<span class="degree">Ph.D. candidate</span>
<span class="year">2021.11 - Now</span>
</div>
<div class="description">
<p>Signal Theory and Communications</p>
<p class="where"><img src="images/CommSensLab_logo.png" style="width:21px"> CommSensLab-UPC, Dept. of TSC</p>
<p class="where"><img src="images/upc_logo.png" style="width:20px"> Universitat Politècnica de Catalunya · BarcelonaTech, Barcelona, Spain</p>
</div>
</li>
<li>
<div class="dy">
<span class="degree">M.Sc.</span>
<span class="year">2018.09 - 2021.05</span>
</div>
<div class="description">
<p>Geomatics Engineering and Geoinformation</p>
<p class="where"><img src="images/ETSIGCT_logo.png" style="width:21px"> School of Engineering in Geodesy, Cartography and Surveying</p>
<p class="where"><img src="images/upv_logo.png" style="width:21px"> Universitat Politècnica de València, València, Spain</p>
</div>
</li>
<li>
<div class="dy">
<span class="degree">Dip.</span><span class="year">2014.09 - 2017.06</span>
</div>
<div class="description">
<p>Photogrammetry and Remote Sensing Technology</p>
<p class="where">School of Surveying and Mapping Engineering</p>
<p class="where"><img src="images/yrcti_logo.png" style="width:21px"> Yellow River Conservancy Technical Institute, Kaifeng, China</p>
</div>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="section color-2">
<div class="section-container">
<div class="row">
<div id="publication" class="col-md-10 col-md-offset-1">
<div class="title text-center">
<h3>Journal Articles</h3>
</div>
<!--<a href="#"><i class="fa-solid fa-download"></i></a>-->
<ul type=disc>
<h4 style="color:rgb(238,123,47)">Peer Reviewed</h4>
<li style="white-space:normal" id="pub-pos"><span class="label label-default" style="font-family:Trebuchet MS">3</span> Mission Planning for Radar Autonomous Localization in Vital Sensing Task<br>
<b>Ruochen Wu</b>, Antoni Broquetas <sup>*</sup>, and Albert Aguasca<br>
<span style="font-size:15px;font-family:Times New Roman;font-weight:bold;font-style:italic">In Preparation</span></li>
<br>
<li style="white-space:normal" id="pub-bio"><span class="label label-default" style="font-family:Trebuchet MS">2</span> Radar System-on-Chip Based Wireless Vital Sensing for Robust Biometric Extraction<br>
<b>Ruochen Wu</b>, Antoni Broquetas <sup>*</sup>, and Albert Aguasca</li>
<br>
<li style="white-space:normal" id="pub-eyelid"><span class="label label-default" style="font-family:Trebuchet MS">1</span> Eyelid Dynamics Characterization with 120 GHz mmW Radar<br>
Dominik Patscheider, <b>Ruochen Wu</b>, Antoni Broquetas <sup>*</sup>, Alberto Aguasca, and Jordi Romeu Robert<br>
<i>Sensors</i> (<span style="color:red">JCR Q2</span>), 2024. DOI: <a target="_blank" href="https://doi.org/10.3390/s24237464">10.3390/s24237464</a>. <a target="_blank" href="https://www.mdpi.com/1424-8220/24/23/7464/pdf?version=1733127227"><i id="oa"></i> <span class="oa" style="font-family:Arial;font-size:13px;font-weight:700;color:#f68212">Open Access</span></a><br>
<span class="__dimensions_badge_embed__" data-doi="10.3390/s24237464" data-hide-zero-citations="true" data-style="large_rectangle"></span></li>
<br>
<h4 style="color:#999">Non-Peer Reviewed</h4>
<li style="white-space:normal" id="pub-cybersig"><span class="label label-default" style="font-family:Trebuchet MS">2</span> Research on Virus Cyberattack-Defense Based on Electromagnetic Radiation<br>
<b>Ruochen Wu</b> <sup>*</sup><br>
<i>arXiv</i> (<span style="color:red">EI</span>), 2023. DOI: <a target="_blank" href="https://doi.org/10.48550/arXiv.2306.17508">10.48550/arXiv.2306.17508</a>. <a target="_blank" href="https://arxiv.org/pdf/2306.17508.pdf"><i id="oa"></i> <span class="oa" style="font-family:Arial;font-size:13px;font-weight:700;color:#f68212">Open Access</span></a><br>
<span class="__dimensions_badge_embed__" data-doi="10.48550/arXiv.2306.17508" data-hide-zero-citations="true" data-style="large_rectangle"></span></li>
<br>
<li style="white-space:normal" id="pub-cfar"><span class="label label-default" style="font-family:Trebuchet MS">1</span> Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images<br>
<b>Ruochen Wu</b> <sup>*</sup><br>
<i>Preprints</i> 2021. DOI: <a target="_blank" href="https://doi.org/10.20944/preprints202112.0280.v1">10.20944/preprints202112.0280.v1</a>. <a target="_blank" href="https://www.preprints.org/manuscript/202112.0280/v1/download"><i id="oa"></i> <span class="oa" style="font-family:Arial;font-size:13px;font-weight:700;color:#f68212">Open Access</span></a><br>
<span class="__dimensions_badge_embed__" data-doi="10.20944/preprints202112.0280.v1" data-style="large_rectangle"></span></li>
<!--<img src="https://img.shields.io/static/v1?style=for-the-badge&message=Open+Access&color=F68212&logo=Open+Access&logoColor=FFFFFF&label=" height=24px>-->
</ul>
</div>
</div>
</div>
</div>
<div class="section color-2">
<div class="section-container">
<div class="row">
<div id="publication" class="col-md-10 col-md-offset-1">
<div class="title text-center">
<h3>Thesis</h3>
<i class="quote"> </i>
</div>
<ul class="ul-card">
<li>
<div class="dy">
<span class="year">2021</span>
<span class="degree" id="tfm">Master's Thesis</span>
</div>
<div class="description">
<p>DETECCIÓN Y RECONOCIMIENTO DE BLANCOS BASADOS EN IMÁGENES SAR<br>
<i>Target Detection and Recognition based on SAR Imagery</i>,<br>
HANDLE: <a target="_blank" href="http://hdl.handle.net/10251/166986">10251/166986</a>. <i id="closedoa"></i> <span class="closedoa" style="font-family:Arial;font-size:13px;font-weight:700;color:#f68212">Closed Access (Application required)</span></p>
<p class="where">Universitat Politècnica de València · Zhengzhou</p>
<p class="where"><a href="pub/TFM_Poster.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Poster&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>, <a href="pub/Presentacion_TFM.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Presentation&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://scholar.google.com/scholar?as_occt=title&as_q=Detecci%C3%B3n+y+reconocimiento+de+blancos+basados+en+im%C3%A1genes+SAR"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=BibTex&color=4285F4&logo=Google+Scholar&logoColor=FFFFFF&label=Google+Scholar"></a>, <a target="_blank" href="https://github.com/Rc-W024/SAR_Ship_detection_CFAR"><img src="https://img.shields.io/github/stars/Rc-W024/SAR_Ship_detection_CFAR?label=Rep-Star&style=social"/></a></p>
</div>
</li>
<li>
<div class="dy">
<span class="year">2017</span>
<span class="degree">Graduation Project</span>
</div>
<div class="description">
<p>基于街景影像的街道停车场判读项目 <i id="closedoa"></i><br>
<i>Project of Street Parking Lot Interpretation based on Street View Images</i>,</p>
<p class="where">Yellow River Conservancy Technical Institute · Kaifeng</p>
<p class="where"><img src="https://img.shields.io/static/v1?style=plastic&message=Google+Street+View&color=222222&logo=Google+Street+View&logoColor=FEC111&label=">; <a href="pub/TFG_resume.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Resume&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></p>
</div>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="section color-0">
<div class="section-container">
<div class="row">
<div id="project" class="col-md-10 col-md-offset-1">
<div class="title text-center">
<h3>Ph.D. Research Project</h3>
</div>
<ul class="ul-card">
<li style="padding-top:20px">
<div class="description">
<p style="text-align:center;margin:10px 24px"><b>ADVANCED SIGNAL PROCESSING TECHNOLOGY FOR SITUATION AWARENESS AND SECURITY</b></p>
<p style="margin:10px 30px 10px;text-align:justify">Radio signals serve not only as carriers for data transmission but also as a means for sensing. Within a radar system, signals emitted by the transmitter propagate through various paths, including direct radiation, reflection, and scattering, before converging at the receiver, carring the information of the characteristics of the target. Recent experimental studies have evidenced the potential use of mmWave and THz radar techniques for subject remote observation and vital parameters measurement. The evolution of radar technology and the trend towards RSoC enables the proposal of low-cost compact radar sensors tailored to diverse health monitoring and diagnostic. As we progress towards the 6G era, combining contactless sensing with intelligent processing technologies can greatly benefit future informatic applications. In light of this potential, this project provides an opportunity to cover comprehensively algorithms, frameworks, technologies, and applications of wireless sensing and intelligent processing for biomedical informatics and, future emerging biometrics for information security.</p>
<p style="margin:10px 30px 10px;text-align:justify">The integration of mmWave communications and new type radar based intelligent sensing has sparked a wave of innovation in the fields of mobile computing and cybersecurity. Beyond the realm of health informatics, security-sensitive environments, such as surveillance of confidential areas and protection of critical objects, demand the presence and activities of individuals (whether authorized personnel or intruders) detection that may not carry wireless devices within sensitive areas. Meanwhile, radio biometrics for continuous identity authentication stands as a pivotal focus area within our future research endeavors. In addition, radar sensing technology can be applied to detect fine-grained pose and gesture, or other tiny motions of the subject, thereby leveraging the penetration capability of mmWave Frequency-Modulated Continuous Wave (FMCW) radar and its precise measurement of micro-motion signals to achieve remotely side-channel eavesdropping.</p>
<div style="text-align:center">
<img alt="" src="pub/ResearchLine.png" style="margin:5px auto;width:80%" />
</div>
<p class="where" style="text-align:center;margin:10px 24px">Universitat Politècnica de Catalunya · Barcelona</p>
</div>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="section color-0">
<div class="section-container">
<div class="row">
<div id="project" class="col-md-10 col-md-offset-1">
<div class="title text-center">
<h3>Experience</h3>
</div>
<ul class="timeline">
<li class="open">
<div class="date">2024</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-heart-pulse"></i> mmWave RSoC Vital Sensing and Intelligent Processing for Health Monitoring & Informatics</div>
<div class="text row">
<div class="col-md-11">
Monitoring vital parameters such as respiratory and cardiac rythms without contact is an interesting alternative to traditional contact sensors in health monitoring applications where subjects must be isolated or when the use of contact sensors is not appropriate or impractical. Unlike traditional measurement instruments, radar can measure physiological signals without mechanical contact with the human skin. Radar uses radiofrequency signals that can penetrate clothing and bed cover textiles, thereby avoiding privacy issues. Consequently, radar-based wireless vital sensing and health monitoring meet the requirements of contact-less remote sensing, non-intrusiveness, clothing penetrability, and privacy protection. This study aims to validate radar sensors for the remote acquisition of biometric data. In particular, we work closely with SPCOM to conduct joint research in the context of the competitive project of "Monitoratge remot sense contacte (contactless) de constants fisiològiques mitjançant tecnologia 5G/6G en pacients d’elevats requeriments" (CRMPC-5G/6G).
<p style="text-align:left"><b><u>Research Project</u></b> - <i>RSLAB, CommSensLab; SPCOM</i><br>
* This research is being carried out in collaboration with Hospital de Sant Joan de Déu and Hospital Germans Trias i Pujol of Barcelona.</p>
<p style="text-align:left">Administration/Supervision: Antoni Broquetas Ibars, Montserrat Najar Marton, Albert Aguasca Sole<br>
Researcher: <b>Ruochen Wu</b> <sup>†</sup>, Laura Miró Mezquita <sup>†</sup><br>
† These members contributed equally to this work.</p>
<p style="text-align:left">VitalSense; <a target="_blank" href="https://futur.upc.edu/37708894">CRMPC-5G/6G</a> <img src="https://img.shields.io/static/v1?style=plastic&message=MATLAB&color=222222&logo=Star+Trek&logoColor=FFE200&label="></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2023</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-wave-square"></i> Radio Signal Intelligent Processing Technique for Wireless Vital Sensing and Biometric Extraction</div>
<div class="text row">
<div class="col-md-11">
Remotely sense vital information is an interesting alternative to conventional techniques based on contact sensors. The evolution of radar technology and the trend towards Radar System-on-Chip (RSoC) enables the proposal of cost-effective, compact radar sensors designed for diverse health monitoring, diagnostics, and Internet of Medical Things (IoMT) based healthcare. From the phase of radar echo signals it is possible to observe breath rate, cardiac rythm, blood pressure waveform (BPW) and emerging biometrics. However, the separation of the signals of interest from other interfering motion is a challenge, taking into account the diversity of signal patterns depending on subjects, health and observation conditions. In this context, an optimal processing technique has been developed for hearth rate and BPW form based on real-time Repetitive Waveform Adaptive Matched Filter (RWAMF). The good performance of the technique has been validated experimentally with a vital signal database acquired with a 120 GHz Frequency-Modulated Continuous Wave (FMCW) radar.
<p style="text-align:left"><b><u>Research Project</u></b><br>
* This work was supported by the Spanish Ministerio de Ciencia e Innovación (MCIN) funds including MDM-2016-0600 and project PID2020-117303GB-C21/AEI/10.13039/501100011033.</p>
<p style="text-align:left">Administration/Supervision: Antoni Broquetas Ibars, Albert Aguasca Sole<br>
Researcher: <b>Ruochen Wu</b></p>
<p style="text-align:left">VitalSense <img src="https://img.shields.io/static/v1?style=plastic&message=MATLAB&color=222222&logo=Star+Trek&logoColor=FFE200&label=">; <a href="javascript:" onclick="document.querySelector('#pub-bio').scrollIntoView({behavior:'smooth'})">Paper</a>, <a target="_blank" href="https://github.com/Rc-W024/VitalSense2024"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=VitalSense2024&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://drive.google.com/file/d/14Ua_k_l8alBUA5VWCl-yn_iqwasNcG4k/view?usp=sharing"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=VitalSense+2018&color=000000&logo=AirPlay+Video&logoColor=FFFFFF&label="></a>, <a href="pub/Vitalsense2024.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Results&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2023</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-ethernet"></i> Research on Signal Processing for Computer Virus Electromagnetic Radiation Injection</div>
<div class="text row">
<div class="col-md-11">
Information technology and telecommunications have rapidly permeated various domains, resulting in a significant influx of data traversing the networks between computers. Consequently, research of cyberattacks in computer systems has become crucial for many organizations. Accordingly, recent cybersecurity incidents have underscored the rapidly evolving nature of future threats and attack methods, particularly those involving computer viruses wireless injection. This project aims to study and demonstrate the feasibility of remote computer virus radiation injection. To achieve this objective, digital signal processing (DSP) plays a vital role. By studying the principles and models of radiation attacks and computer virus propagation, the modulation of the binary data stream of the simulated virus into a THz radar carrier signal by Phase-Shift Keying (PSK) is simulated, enabling the implementation of an attack through the "field to line" coupling of electromagnetic signals. Finally, the defense and countermeasures based on signal recognition are discussed for such attacks. Additionally, an idea of establishing a virus library for cyberattack signals and employing artificial intelligence (AI) algorithms for automated intrusion detection is proposed as a means to achieve cybersecurity situation awareness.
<p style="text-align:left"><b><u>Individual Project</u></b></p>
<p style="text-align:left">CyberSig <img src="https://img.shields.io/static/v1?style=plastic&message=MATLAB&color=222222&logo=Star+Trek&logoColor=FFE200&label=">; <a href="javascript:" onclick="document.querySelector('#pub-cybersig').scrollIntoView({behavior:'smooth'})">arXiv</a> <a target="_blank" href="https://scholar.google.com/scholar_lookup?arxiv_id=2306.17508"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=BibTex&color=4285F4&logo=Google+Scholar&logoColor=FFFFFF&label=Google+Scholar"></a>, <a target="_blank" href="https://github.com/Rc-W024/CyberAttk-SP"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=CyberAttk-SP&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2023</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-satellite-dish"></i> Radar Techniques for Earth Continuous Observation: Systems and Processing</div>
<div class="text row">
<div class="col-md-11">
Continuous observation of the Earth, as it would be possible with a geosynchronous SAR (GEOSAR), exhibits a huge potential in many scientific domains. A paradigmatic case is the water cycle over agricultural areas, in which surface soil moisture changes rapidly within hours, showing a clear daily cycle, and days, following a drying trend until new irrigation is applied or there is a rain event. Simultaneously, plants also affect the water cycle, both with a daily cycle and with a varying impact along the growth season. The separation of these processes and its application to estimate bio- and geophysical variables could be carried out by exploiting GEOSAR data. Therefore, the first overall objective of this project is to demonstrate how, from data obtained by radar systems with Earth continuous observation capacity, new techniques can be developed that allow the retrieval of surface soil moisture and vegetation parameters in scenes with vegetation. To achieve this, a complete set of radar data are currently being obtained in a measurement campaign (HydroSoil), funded by ESA, acquired in an agricultural field under controlled conditions, using a ground based fully polarimetric SAR instrument (GB-PolSAR) with a temporal resolution of 10 minutes, able to simulate a continuous Earth observation SAR system. Apart from the future contribution of GEOSAR systems, many EO applications that can be improved notably by combining time series of radar data (acquired by current satellites) from different sources: different satellites (frequency bands and spatial resolutions) or acquired under different configurations (incidence angles and ascending/descending orbits), or in different modes (interferometric and polarimetric). This alternative does not provide a strict continuous observation, like a GEOSAR does, but increases the refresh rate of information and enlarges the observation space by complementary data along the data four diversity axes: time, frequency, polarisation, and phase (interferometry). This second strategy will be addressed by exploiting numerous sets of satellite data already available, with associated reference data. Special emphasis will be placed on Sentinel-1, due to its open access policy and 6-day revisit time, and PAZ, the Spanish radar satellite, which shows an evident interest for the Spanish government and industry. Methods, algorithms, and software developed in previous projects will serve as starting points to develop new and improved retrieval techniques based on this type of multi-source radar data. The project team is composed of groups from the Universitat Poliècnica de Catalunya (UPC) and University of Alicante (UA), with known experience in systems, techniques, and applications of SAR, which have successfully collaborated in previous projects. The coordination between both teams allows to define the following objectives for the project: 1) New knowledge in the sensitivity of GEOSAR data to physical variables of soil and vegetation. 2) New retrieval algorithms for GEOSAR data to estimate physical variables of soil and vegetation. 3) Contribution to the definition of technical aspects of GEOSAR systems. 4) New fusion techniques and improved products based on SAR data from multiple LEOSAR sensors. 5) Increased transfer of Earth Observation results and technology to the scientific community, the industry, and the society.
<p style="text-align:left"><b><u>Competitive Project (ESP)</u></b> - <i>AEI</i><br>
* This research is funded by the PID2020-117303GB-C21 project, granted by the AEI.</p>
<p style="text-align:left">Scientific coordinator: Francisco Javier Fabregas Canovas, Alberto Aguasca Sole<br>
Researcher <sup>*</sup>: Jordi Joan Mallorqui Franquet, Antoni Broquetas Ibars, Tieyan Yi, Jorge Nicolas Alvarez, <b>Ruochen Wu</b>, Mireia Mas i Mendez, Jinglong Liu, Xavier Carreño Megias (Work team)<br>
* Listed in no particular order.</p>
<p style="text-align:left"><a target="_blank" href="https://futur.upc.edu/31958091">RECOSYP</a>; <a target="_blank" href="https://recosyp.upc.edu/"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=ReCoSyp&color=4285F4&logo=Google+Chrome&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2022</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-wave-square"></i> Eyelid Dynamics Signal Characterization and Analysis with Millimeter-Wave Terahertz Radar</div>
<div class="text row">
<div class="col-md-11">
This paper presents a new approach to measuring eyelid movement using millimeter wave (mmW) radar technology. A two-step method is proposed, involving the observation of a small resolution cell corresponding to the monitored eye and the evaluation of the phase evolution over the measurement period. Simulations are conducted to support radar system optimization and data interpretation with a focus on detecting eyelid movement patterns and compensating for interference from other parts of the body. The feasibility of using this method with eyeglasses is also explored. The proposed technique’s advantages and limitations are discussed in comparison with existing measurement alternatives. The characteristics of eyelid dynamics, including blink frequency, regularity, duration, and velocity can be used to assess neurological conditions and driver drowsiness.
<p style="text-align:left"><b><u>Research Project</u></b> - <i>CommSensLab, UPC; Dept. of Electrical Engineering and Information Technology (ETIT), Karlsruhe Institute of Technology (KIT)</i></p>
<p style="text-align:left">Administration/Supervision: Antoni Broquetas Ibars, Albert Aguasca Sole<br>
Researcher: Dominik Patscheider, <b>Ruochen Wu</b>, Jordi Romeu Robert</p>
<p style="text-align:left"><a target="_blank" href="https://ars.upc.edu/projects/radar-for-medical-applications">VitalSense</a> <img src="https://img.shields.io/static/v1?style=plastic&message=MATLAB&color=222222&logo=Star+Trek&logoColor=FFE200&label=">; <a href="javascript:" onclick="document.querySelector('#pub-eyelid').scrollIntoView({behavior:'smooth'})">Sensors</a> <a target="_blank" href="https://scholar.google.com/scholar_lookup?title=Eyelid+Dynamics+Characterization+with+120+GHz+mmW+Radar&volume=24&doi=10.3390%2Fs24237464&journal=Sensors&publication_year=2024&author=Dominik+Patscheider&author=Ruochen+Wu&author=Antoni+Broquetas&author=Albert+Aguasca&author=Jordi+Romeu"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=BibTex&color=4285F4&logo=Google+Scholar&logoColor=FFFFFF&label=Google+Scholar"></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2022</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-road-circle-exclamation"></i> Advanced Active Safety Solutions for Micro-Mobility Vehicles</div>
<div class="text row">
<div class="col-md-11">
EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union, aims to accelerate solutions and the transition towards a user-centric, integrated and truly multimodal transport system.
<p style="text-align:left"><b><u>Competitive Project (EU)</u></b> - <i>EIT Urban Mobility</i><br>
* This research was funded by the EIT-UM-2022-22265-RideSafeUM project, granted by the EIT.</p>
<p style="text-align:left">Scientific coordinator: Elisa Sayrol Clols, Josep Ramon Morros Rubió<br>
Researcher: Josep Ramon Morros Rubió, Antoni Broquetas Ibars, <b>Ruochen Wu</b></p>
<p style="text-align:left"><a target="_blank" href="https://futur.upc.edu/33770719">RideSafeUM</a> <img src="https://img.shields.io/static/v1?style=plastic&message=MATLAB&color=222222&logo=Star+Trek&logoColor=FFE200&label=">; <a target="_blank" href="https://ridesafeum.com/"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=URL&color=4285F4&logo=Google+Chrome&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://github.com/Rc-W024/AccidDetec-Accel"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=AccidDetec-Accel&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
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</div>
</div>
</li>
<li>
<div class="date">2020</div>
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<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-satellite"></i> SAR Ship Detection and Recognition Based on Constant False Alarm Rate and Mathematical Morphological</div>
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Synthetic Aperture Radar (SAR) is an active type of microwave remote sensing. Using the microwave imaging system, remote sensing monitoring of the land and global ocean can be performed in any weather conditions around the clock. Target detection of the SAR image is one of the main needs of radar image interpretation applications. Therefore, it is of great practical importance and valuable to use satellite-provided radar image data to study target detection. In this project, the author applied a method combining CFAR and morphological operation for the task of ship detection and recognition of SAR images, and proposed an improved two-parameter CFAR algorithm based on Rayleigh distribution to solve the problem of ship echo signal position and image background noise interference. The probability density functions of sea clutter and a little amount of noise usually tend to be Rayleigh distribution, but there is still some clutter with obvious non-Rayleigh, which includes scale and shape parameters.
<p style="text-align:left"><b><u>TFM</u></b> - <i>Master's Degree Final Project, UPV</i></p>
<p style="text-align:left">Supervisor: Luis Ángel Ruiz Fernández<br>
Author: <b>Ruochen Wu</b></p>
<p style="text-align:left">TFM 2020 <img src="https://img.shields.io/static/v1?style=plastic&message=MATLAB&color=222222&logo=Star+Trek&logoColor=FFE200&label=">; <a href="javascript:" onclick="document.querySelector('#tfm').scrollIntoView({behavior:'smooth'})">TFM</a>, <a href="javascript:" onclick="document.querySelector('#pub-cfar').scrollIntoView({behavior:'smooth'})">Preprints</a> <a target="_blank" href="https://scholar.google.com/scholar?hl=zh-CN&as_sdt=0%2C5&q=Two-Parameter+CFAR+Ship+Detection+Algorithm+Based+on+Rayleigh+Distribution+in+SAR+Images&btnG="><img class="imghov" src="https://img.shields.io/static/v1?style=&message=BibTex&color=4285F4&logo=Google+Scholar&logoColor=FFFFFF&label=Google+Scholar"></a>, <a target="_blank" href="https://github.com/Rc-W024/SAR_Ship_detection_CFAR"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=SAR+Ship+detection+CFAR&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2020</div>
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<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-solar-panel"></i> Comparative Exhibition Modeling of Target Area Changes based on Bi-temporal Remote Sensing Images</div>
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<div class="col-md-11">
Bi-temporal orthophotos of the YRCTI in 2010 and 2020 have been modeled using photogrammetry technology, where the data in 2010 is the UAV images, and 2020, is the latest remote sensing images of Google Earth. The two models were made comparisons in Blender to complete the rendering. The project mainly includes four parts: data acquisition, photogrammetric data processing and modeling, 3D visualization construction, and final rendering.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Geovisualisation and 3D Modelling, UPV</i></p>
<p style="text-align:left">Tutor: Jesús Manuel Palomar Vázquez<br>
Author: <b>Ruochen Wu</b></p>
<p style="text-align:left">GM3D <img src="https://img.shields.io/static/v1?message=Blender&color=F5792A&logo=Blender&logoColor=FFFFFF&label=&style=plastic">; <a target="_blank" href="pub/G3M_res.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Results&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></p>
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<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-vr-cardboard"></i> Application of Virtual 3D Model AR Technology</div>
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This project combines three-dimensional (3D) modeling and programming knowledge to enable virtual reality (VR), augmented reality (AR) and related technologies. Its purpose is to combine the modeled 3D model with the OpenSpace3D editor to realise intelligent interaction, allowing the user to perform corresponding operations on the model based on VR technology.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Geovisualisation and 3D Modelling, UPV</i></p>
<p style="text-align:left">Tutor: Jesús Manuel Palomar Vázquez<br>
Author: <b>Ruochen Wu</b></p>
<p style="text-align:left">GM3D <img src="https://img.shields.io/static/v1?message=Blender&color=F5792A&logo=Blender&logoColor=FFFFFF&label=&style=plastic"> <img src="https://img.shields.io/badge/Python-FFD43B?logo=python&logoColor=blue&style=plastic">; <a target="_blank" href="pub/AR_report.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Report&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>, <a target="_blank" href="pub/AR_Demo.mp4"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=AR+Demo&color=000000&logo=AirPlay+Video&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://github.com/Rc-W024/AR-OpenSpace3D"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=AR-OpenSpace3D&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
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</div>
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-building-circle-check"></i> Building Detection with eCognition Developer</div>
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<div class="col-md-11">
Using eCognition Developer to extract remote sensing information based on target information, the fuzzy classification algorithm of Decision-making Support System (DSS) is used for the object-oriented classification of a high-resolution image and a Digital Surface Model (DSM). The experimental data used in the project is provided by the Resource Library of this course.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Remote Sensing and Geodatabase Updating, UPV</i></p>
<p style="text-align:left">Tutor: Jorge Abel Recio Recio<br>
Member: Jimena Laura García Le Pera <sup>†</sup>, <b>Ruochen Wu</b> <sup>†</sup><br>
† These members contributed equally to this work.</p>
<p style="text-align:left">TeleAct; <a target="_blank" href="pub/TeleAct_report.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Process+Report&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2019</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fas fa-camera"></i> Reverse Modeling Based on Photogrammetry Technology</div>
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This project aims to maintain and update the cultural heritage database of Valencia City Hall. We collected data on the bust sculpture in the Jardines de Monforte, and performed photogrammetry reverse modeling to generate a high-precision 3D model and a 3D printed model, which has been retained by Valencia City Hall.
<p style="text-align:left"><b><u>Local Project</u></b> - <i>Architectural Heritage Documentation Techniques, UPV; Oficina Tècnica de Restauració i Manteniment de Monuments, Ajuntament de València</i><br>
* This work was supported by Ajuntament de València under grant E-02001-2019-000699.</p>
<p style="text-align:left">Tutor: <a target="_blank" href="http://jllerma.webs.upv.es/index-en.htm">José Luis Lerma García</a><br>
Member: Jimena Laura García Le Pera, <b>Ruochen Wu</b></p>
<p style="text-align:left">TDPA; <a target="_blank" href="pub/Certificate_APS.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>, <a target="_blank" href="pub/APS_Raw.JPG"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Sculpture&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a>, <a target="_blank" href="pub/20200209_203945.mp4"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=3D+Model&color=000000&logo=AirPlay+Video&logoColor=FFFFFF&label="></a>, <a target="_blank" href="pub/APS_model.jpg"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=3D-printed+Model&color=8A8A8A&logo=JPEG&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2019</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-map-location-dot"></i> Geoinformation Open Source Data Visualization Platform</div>
<div class="text row ">
<div class="col-md-11">
A script suitable for mobile applications, which allows users to query the server for open-source data released by the Valencia City Hall in Spain to locate the point where electric vehicles are charged in the corresponding area of the public parking lot.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Geospatial Applications for Mobile Devices, UPV</i></p>
<p style="text-align:left">Tutor: Ángel Marqués Mateu<br>
Member: <b>Ruochen Wu</b> <sup>*</sup>, Jimena Laura García Le Pera<br>
* Principal</p>
<p style="text-align:left">AGDM <img src="https://img.shields.io/badge/Windows-0078D6?logo=windows&logoColor=white&style=plastic"> <img src="https://img.shields.io/badge/Cordova-35434F?logo=apache-cordova&logoColor=E8E8E8&style=plastic"> <img src="https://img.shields.io/badge/HTML5-E34F26?logo=html5&logoColor=white&style=plastic"> <img src="https://img.shields.io/badge/JavaScript-323330?logo=javascript&logoColor=F7DF1E&style=plastic"> <img src="https://img.shields.io/badge/CSS3-1572B6?logo=css3&logoColor=white&style=plastic">; <a target="_blank" href="pub/Geovisualizacion_AppRecarga.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Presentation&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://github.com/Rc-W024/Geovisualization-Map"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Geovisualization-Map&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
</div>
</div>
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-microchip"></i> Machine Learning-Based Feature Extraction and Classification for Land Use Database Updating</div>
<div class="text row ">
<div class="col-md-11">
In 2004, the project "Plan Nacional de Teledetección" led by IGN was launched, the main objective of which is to acquire satellite images of the Spanish territory to promote the application of its derivative products. This project aims to mine and process GEOINT data through AI (ML) algorithms such as Decision Tree and Artifical Neural Network (ANN), and update the Geodatabase of land use through the analysis of high-resolution remote sensing images and auxiliary information.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Remote Sensing and Geodatabase Updating, UPV</i></p>
<p style="text-align:left">Tutor: Luis Ángel Ruiz Fernández, Jorge Abel Recio Recio<br>
Member: Jimena Laura García Le Pera <sup>†</sup>, <b>Ruochen Wu</b> <sup>†</sup><br>
† These members contributed equally to this work.</p>
<p style="text-align:left">TeleAct; <a target="_blank" href="pub/ActualizacionBD.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Report&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>, <a target="_blank" href="https://github.com/Rc-W024/FeaExtrClassif-Weka"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=FeaExtrClassif-Weka&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
</div>
</div>
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-server"></i> Web Development and GEOINT Publishing</div>
<div class="text row ">
<div class="col-md-11">
The project is developed through a virtual machine equipped with a Linux system, and users on the published spatial data portal are allowed to log in, query and modify related data. This project aims to apply related skills developed on the back-end and front-end to GEOINT processing.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Web Development and Geoportals, UPV</i></p>
<p style="text-align:left">Tutor: Joaquín Gaspar Mora Navarro<br>
Member: <b>Ruochen Wu</b> <sup>*</sup>, Clément Dujardin, Antoine Ducasse<br>
* Principal</p>
<p style="text-align:left">DWebG <img src="https://img.shields.io/badge/VirtualBox-21416b?logo=VirtualBox&logoColor=white&style=plastic"> <img src="https://img.shields.io/badge/Linux-FCC624?logo=linux&logoColor=black&style=plastic"> <img src="https://img.shields.io/badge/Eclipse-2C2255?logo=eclipse&logoColor=white&style=plastic"> <img src="https://img.shields.io/badge/Python-FFD43B?logo=python&logoColor=blue&style=plastic"> <img src="https://img.shields.io/badge/HTML5-E34F26?style=plastic&logo=html5&logoColor=white"> <img src="https://img.shields.io/badge/JavaScript-323330?style=plastic&logo=javascript&logoColor=F7DF1E"> <img src="https://img.shields.io/badge/PostgreSQL-316192?logo=postgresql&logoColor=white&style=plastic">; <a target="_blank" href="https://github.com/Rc-W024/Web-Geoportal"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Web-Geoportal&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
</div>
</div>
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-database"></i> PostgreSQL-based Injection and Anti-Injection</div>
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<div class="col-md-11">
This project researches and simulates the framework principle of PostgreSQL spatial intelligence (GEOINT) database injection attack, and embeds a parameterized query module in the Web program code to defend against SQL injection behavior. Through the studys, a deeper understanding of the field of spatial information security is formed.</p>
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Distribution of Spatial Information, UPV</i></p>
<p style="text-align:left">Tutor: Peregrina Eloína Coll Aliaga<br>
Author: <b>Ruochen Wu</b><br>
<p style="text-align:left">DSI <img src="https://img.shields.io/badge/PostgreSQL-316192?logo=postgresql&logoColor=white&style=plastic"> <img src="https://img.shields.io/badge/Python-FFD43B?logo=python&logoColor=blue&style=plastic"> <img src="https://img.shields.io/badge/HTML5-E34F26?style=plastic&logo=html5&logoColor=white">; <a target="_blank" href="https://github.com/Rc-W024/SQL-injection"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=SQL-injection&color=181717&logo=GitHub&logoColor=FFFFFF&label="></a></p>
</div>
</div>
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-satellite"></i> Remote Sensing Dynamic Monitoring: Change Detection</div>
<div class="text row ">
<div class="col-md-11">
In this project, the bi-temporal satellite images of <i>Beijing Daxing International Airport</i> and surrounding areas obtained by Sentinel-2A in 2015 and 2019 were selected respectively, and the image features were identified based on the principle of spectral feature differences between different temporal images in the same area. The changes in the type, location and quantity of land-use regional changes were obtained by quantifying the coupling characteristics of multi-temporal remote sensing images in the spatial, temporal and spectral domains. Dynamic monitoring was carried out using the methods of direct image comparison, principal component analysis, and post-classification comparison, respectively. The classification and monitoring results met the project expectations.
<p style="text-align:left"><b><u>Subject Project</u></b> - <i>Remote Sensing and Photogrammetry Techniques, UPV</i></p>
<p style="text-align:left">Tutor: Luis Ángel Ruiz Fernández<br>
Author: <b>Ruochen Wu</b></p>
<p style="text-align:left">F&RS; <a target="_blank" href="pub/Presentacion_RS.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Presentation&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a></p>
</div>
</div>
</div>
</li>
<li>
<div class="date">2016</div>
<div class="circle"></div>
<div class="data">
<div class="subject" style="padding-left: 0px"><i class="fa-solid fa-shuttle-space"></i> Precision Guidance based on Scene Matching and Target Recognition</div>
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<div class="col-md-11">
The project aims to compile the terrain variable values into a digital map to be stored on the missile-borne computer, and then register the missile's real-time ground scene image with the pre-stored digital map to determine the missile's position relative to the target. <b>Wu</b> is mainly involved in studying digital photogrammetry principles, missile orientation measurement, remote sensing image features, and 2D/3D target image recognition methods.
<p style="text-align:left"><b><u>Defense Project</u></b> - <i>Digital Photogrammetry, YRCTI; 96XXX Unit, PLA Rocket Force</i><br />* This work was supported by the Chinese PLA Rocket Force.</p>
<p style="text-align:left">Professor: Dan Zhang<br>
<b>Role:</b> Intern (Participate in studying)</p>
<p style="text-align:left">DP 2016</p>
</div>
</div>
</div>
</li>
</ul>
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<h3>Awards and Certificates</h3>
</div>
<ul type=disc>
<li> <b>CSC Scholarships</b> (2022), <i>Eurasian and African Affairs Department of China Scholarship Council</i><br>
National Construction High-level University Postgraduate Program: CSC-UPC Scholarships<br>
Key Funding Area: A11-National Defense<br>
<a target="_blank" href="pub/CSC_certificate.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a> <a target="_blank" href="pub/CSC.pdf"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Official+documents&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>
<li> <b>Language Certificate of Spanish</b> (2018), <i>Palencia International Junior College, Spain</i><br>
Level: B2 Vantage (Common European Framework of Reference for Languages)<br>
<a href="pub/Certificado_ES.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>
<li> <b>Certificate of Excellent Skills of Photogrammetry and Remote Sensing Technology</b> (2017), <i>YRCTI</i><br>
Photographs Annotation; Digital Topographic Map Surveying; Aerophotogrammetric Mapping<br>
Level: Eligibility<br>
<a href="pub/Certificate_skills.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>
<li> <b>Occupational Qualification Certificate of the PRC</b> (2016), <i>National Administration of Surveying, Mapping and Geoinformation of China Occupational Skill Testing Authority</i><br>
Occupational Qualification: Photogrammeter (Professional and Technical Personnel of Photogrammetry)<br>
Occupation & Skill Level: Third Level (Senior Skill Level)<br>
<a href="pub/Certificate_Photogrammetry.pdf" target="_blank"><img class="imghov" src="https://img.shields.io/static/v1?style=&message=Certificate&color=EC1C24&logo=Adobe+Acrobat+Reader&logoColor=FFFFFF&label="></a>
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<h3>Contact</h3>
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<p><b>Email</b>: <a href="http://scr.im/rc001w" title="!Click to get the email address to protect from Spam Bots and Address Harvesters!" target="_blank">[email protected]</a></p>
<p><b>Address</b>: Campus Nord-UPC, Edifici D3, Despatx becari 114, C/ Jordi Girona 1-3, 08034 Barcelona (SPAIN)</p>
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