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            <div class="content">
              <h3>Yu Sun</h3>
              <h6>孙宇</h6>
              <h6>Ph.D.</h6>
              <h6>UGA</h6>
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            <!-- details -->
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              <h3>EMAIL</h3>
              <p><a href="mailto:sunyucq@163.com">sunyucq<br>[at]163[dot]com</a></p>
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                <li><a href="#bio">Bio</a></li>
                <li><a href="#research" class="is-active">Publication</a></li>
                <li><a href="#news">News</a></li>
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            <!--Bio-->
            <h3 id="bio">Bio</h3>
            <p><!--Welcome to my site！I’m a first-year robotics PhD candidate at the
              University of New South Wales’s School of Mechanical and Manufacturing Engineering, co-advised by
              <a href="https://www.drliaowu.com" target="_blank" style="text-decoration: underline;">Dr. Leo Wu</a>
              and <a href="https://www.unsw.edu.au/staff/jay-katupitiya" target="_blank" style="text-decoration: underline;">Prof. Jay Katupitiya</a>.
              My research interest lies in the areas of Medical Robotics, such as Flexible Robots for Autonomous Minimally Invasive Surgery
              and Assistive Robots with Artificial Muscles and Wearable Sensors. I’m funded through the University
              International Postgraduate Award.-->

            <br/><br/>

              Prior to joining, I earned my Bachelor’s degree from the School of Vehicle Engineering at
              Chongqing University of Technology and Master’s degree from the College of Mechanical and Vehicle Engineering at
              Chongqing University where I started my research on Multibody Dynamics and Machine Learning with
               <a href="https://faculty.cqu.edu.cn/YongjunPan/zh_CN/index/338379/list/index.htm" target="_blank" style="text-decoration: underline;">Prof. Yongjun Pan</a>.
            </p>
            [<a href = "files/CV.pdf">CV</a>].<br/><br/>


            <!--Research-->
            <h3 id="research">Publications</h3>

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                  <p>
                    <b>Maneuver-based deep learning parameter
                      identification of vehicle suspensions subjected to
                      performance degradation</b><br>
                    Yongjun Pan, <strong>Yu Sun</strong>, Chuan Min, Zhixiong Li and Paolo Gardoni.<br>
                    <em>Vehicle System Dynamics, 2022</em><br>
                    <a href="publications/2022-VSD1.pdf" target="_blank">[<u>paper</u>]</a>
                    <a href="https://www.tandfonline.com/doi/full/10.1080/00423114.2022.2084424" target="_blank">[<u>link</u>]</a>
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                    <b>Machine learning approaches to estimate suspension parameters for
                      performance degradation assessment using accurate dynamic simulations</b><br>
                    Yongjun Pan, <strong>Yu Sun</strong>, Zhixiong Li and Paolo Gardoni.<br>
                    <em>Reliability Engineering and System Safety, 2023</em><br>
                    <a href="publications/2023-RESS1.pdf" target="_blank">[<u>paper</u>]</a>
                    <a href="https://www.sciencedirect.com/science/article/abs/pii/S0951832022005658" target="_blank">[<u>link</u>]</a>
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                  <p>
                    <b>A lane-changing trajectory re-planning method considering conflicting
                      traffic scenarios</b><br>
                    Haifeng Du, <strong>Yu Sun</strong>, Yongjun Pan, Zhixiong Li and Patrick Siarry.<br>
                    <em>Engineering Applications of Artificial Intelligence, 2023</em><br>
                    <a href="publications/2023-EAAI1.pdf" target="_blank">[<u>paper</u>]</a>
                    <a href="https://www.sciencedirect.com/science/article/abs/pii/S0952197623014483" target="_blank">[<u>link</u>]</a>
                  </p>
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                  <img src="images/research/2024-MSD1.png">
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                <div class="content">
                  <p>
                    <b>Combined recurrent neural networks and particle-swarm
                      optimization for sideslip-angle estimation based on a vehicle
                      multibody dynamicsmodel</b><br>
                    <strong>Yu Sun</strong>, Yongjun Pan, Ibna Kawsar, Gengxiang Wang and Liang Hou.<br>
                    <em>Multibody System Dynamics, 2024</em><br>
                    <a href="publications/2024-MSD1.pdf" target="_blank">[<u>paper</u>]</a>
                    <a href="https://link.springer.com/article/10.1007/s11044-024-09973-5" target="_blank">[<u>link</u>]</a>
                  </p>
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            <!--News-->
            <h3 id="news">
              News
            </h3>
            <ul>
              <li><span>Feb, 2024 - One paper get accepted to MSD.</span></li>
              <li><span>Nov, 2023 - Has been admitted to UNSW (UIPA).</span></li>
              <li><span>Oct, 2023 - One paper gets accepted to EAAI.</span></li>
              <li><span>June, 2023 - Has successfully got my Master’s degree (Outstanding)!</span></li>
              <li><span>May, 2023 - Has successfully defended my Master’s thesis!</span></li>
              <li><span>Oct, 2022 - One paper gets accepted to RESS.</span></li>
              <li><span>Apr, 2022 - One paper gets accepted to VSD.</span></li>
              <li><span>May, 2020 - Has been admitted to CQU.</span></li>
            </ul>


            <!--Honors-->
            <h3 id="honors">
              Honors
            </h3>
            <ul>
              <li><span>National encouragement scholarships, 2018/2019.</span></li>
              <li><span>First-prize academic scholarships of CQUT, 2017/2018/2019.</span></li>
              <li><span>Outstanding student of CQUT, 2019.</span></li>
              <li><span>Outstanding graduates of CQUT, 2020.</span></li>
              <li><span>First-prize academic postgraduate scholarships of CQU, 2021/2022.</span></li>
              <li><span>Outstanding student of CQU, 2022.</span></li>
              <li><span>Outstanding graduates of CQU, 2022.</span></li>
            </ul>

            <h3 id="professional">Professional Activities</h3>


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          <p style="text-align:left;font-size:small;">
            Credit: web source from <a href="http://hansf.me">Dr. Songfang Han</a> and <a href="https://yzqin.github.io/"> Yuzhe Qin</a>
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