cbbowen.xml

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<person>
	<name>Chris Bowen</name>
	<!-- Contact -->
	<address>
		<number>555</number>
		<street>San Antonio Rd.</street>
		<apartment>524</apartment>
		<city>Mountain View</city>
		<state>CA</state>
		<zip>94040</zip>
	</address>
	<phone>
		<country>1</country>
		<area>864</area>
		<office>451</office>
		<line>8002</line>
	</phone>
	<email>
		<local-part>cbbowen</local-part>
		<domain>alumni.unc.edu</domain>
	</email>
	<!-- Objective -->
	<objective>Having worked with household robots while earning my doctorate and autonomous vehicles at Waymo, I hope to continue to develop my skills and advance and the state of the art in motion planning while tackling challenging, real-world problems.</objective>
	<!-- Experience -->
	<section>
		<name>Experience</name>
		<position>
			<name>Software Engineer</name>
			<employer>Waymo, Mountain View, CA</employer>
			<dates>
				<from>
					<year>2018</year>
					<month>July</month>
					<day>9</day>
				</from>
				<present/>
			</dates>
			<description />
		</position>
		<position>
			<name>Research Assistant to Ron Alterovitz</name>
			<employer>Computational Robotics Group, University of North Carolina at Chapel Hill</employer>
			<dates>
				<from>
					<year>2011</year>
					<month>August</month>
					<day>23</day>
				</from>
				<to>
					<year>2018</year>
					<month>June</month>
					<day>25</day>
				</to>
			</dates>
			<description>
				<list>
					<item>Devised novel algorithms combining task learning from user demonstrations with sampling-based methods for planning collision-free motions to autonomously accomplish tasks</item>
					<item>Implemented and evaluated approaches interactively on multiple physical and simulated robot systems capable of manipulation and mobility</item>
				</list>
			</description>
		</position>
		<position>
			<name>Teaching Assistant</name>
			<employer>Georgia Institute of Technology, Atlanta, GA</employer>
			<dates>
				<from>
					<year>2010</year>
					<month>August</month>
					<day>22</day>
				</from>
				<to>
					<year>2011</year>
					<month>May</month>
					<day>2</day>
				</to>
			</dates>
			<description>
				<list>
					<item>Assisted in fostering and evaluating student understanding in algorithm analysis and design</item>
				</list>
			</description>
		</position>
		<position>
			<name>Summer Intern</name>
			<employer>Worthwhile Company, Greenville, SC</employer>
			<dates>
				<from>
					<year>2009</year>
					<month>May</month>
					<day>18</day>
				</from>
				<to>
					<year>2009</year>
					<month>August</month>
					<day>6</day>
				</to>
			</dates>
			<description>
				<list>
					<item>Implemented and tested internal web application for database and server management</item>
				</list>
			</description>
		</position>
		<position>
			<name>Student Participant</name>
			<employer>Google Summer of Code</employer>
			<dates>
				<from>
					<year>2008</year>
					<month>May</month>
					<day>26</day>
				</from>
				<to>
					<year>2008</year>
					<month>August</month>
					<day>18</day>
				</to>
			</dates>
			<description>
				<list>
					<item>Designed, implemented, documented, and tested new level-of-detail features for the graphics rendering engine OGRE</item>
				</list>
			</description>
		</position>
	</section>
	<!-- Education -->
	<section>
		<name>Education</name>
		<degree>
			<name>Ph.D. in Computer Science</name>
			<institution>University of North Carolina at Chapel Hill</institution>
			<dates>
				<from>
					<year>2013</year>
					<month>August</month>
					<day>15</day>
				</from>
				<to>
					<year>2018</year>
					<month>August</month>
					<day>7</day>
				</to>
			</dates>
			<description>
				<list>
					<item>Thesis: &#x201c;Unifying Robot Learning and Motion Planning for Generalized Task Execution&#x201d;</item>
					<item>Committee: Ron Alterovitz, Alex Berg, Kris Hauser, Vladimir Jojic, and Dinesh Manocha</item>
				</list>
			</description>
		</degree>
		<degree>
			<name>M.S. in Computer Science</name>
			<institution>University of North Carolina at Chapel Hill</institution>
			<dates>
				<from>
					<year>2011</year>
					<month>August</month>
					<day>23</day>
				</from>
				<to>
					<year>2013</year>
					<month>May</month>
					<day>12</day>
				</to>
			</dates>
			<description>
				<list>
					<!-- <item>Courses included Robotics, Motion Planning, Algorithmics of Motion, Machine Learning, Computer Vision, Computational Geometry, and Computer Architecture</item> -->
				</list>
			</description>
		</degree>
		<degree>
			<name>B.S. in Computer Science with Highest Honor</name>
			<institution>Georgia Institute of Technology, Atlanta, GA</institution>
			<dates>
				<from>
					<year>2007</year>
					<month>August</month>
					<day>20</day>
				</from>
				<to>
					<year>2011</year>
					<month>May</month>
					<day>8</day>
				</to>
			</dates>
			<description>
				<list>
					<!-- <item>GPA: Overall 3.97, Major 4.00</item> -->
					<!-- <item>GRE: Quantitative 800 (94%), Verbal 610 (88%), Computer Science 850 (94%)</item> -->
					<!-- <item>Courses included Computational Modelling Algorithms, Differential Equations, Numerical Analysis, Combinatorial Analysis, Computer Graphics, and Computer Animation</item> -->
					</list>
			</description>
		</degree>
	</section>
	<!-- Awards -->
	<section>
		<name>Awards</name>
		<award>
			<name>Invited Paper</name>
			<date>
				<year>2018</year>
				<month>March</month>
			</date>
			<by>ACM/IEEE International Conference on Human Robot Interaction (HRI)</by>
		</award>
		<award>
			<name>Doctoral Consortium Travel Grant</name>
			<date>
				<year>2017</year>
				<month>December</month>
			</date>
			<by>International Symposium on Robotics Research (ISRR)</by>
		</award>
		<award>
			<name>National Science Foundation Travel Grant</name>
			<date>
				<year>2014</year>
				<month>September</month>
			</date>
			<by>IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)</by>
		</award>
		<award>
			<name>Upsilon Pi Epsilon Member</name>
			<date>
				<year>2011</year>
				<month>April</month>
			</date>
			<by>ACM Honor Society for the Computing and Information Disciplines</by>
		</award>
	</section>
	<!-- Skills -->
	<section>
		<name>Skills</name>
		<skill>
			<name>Platform</name>
			<proficiency>Linux, Windows</proficiency>
		</skill>
		<skill>
			<name>Language</name>
			<proficiency>C++17 and C# extensively; Python, Rust, Haskell, Java, MATLAB, JavaScript</proficiency>
		</skill>
		<skill>
			<name>Technology</name>
			<proficiency>OpenMP, MPI, SIMD, TensorFlow, Torch, Boost, ROS, Gazebo, PCL, OpenCV, OpenGL, Vulkan, OGRE, Bullet, PhysX, Unreal Engine, Blender, Git, SQL, LaTeX, HTML, CSS</proficiency>
		</skill>
	</section>
	<!-- Publications -->
	<section>
		<name>Publications</name>
		<publication>
			<authors>Cenk Baykal, Chris Bowen, and Ron Alterovitz</authors>
			<date>
				<year>2018</year>
				<month>June</month>
				<day>29</day>
			</date>
			<title url="https://rdcu.be/2b01">Asymptotically optimal kinematic design of robots using motion planning</title>
			<publisher>Autonomous Robots (AuRo)</publisher>
		</publication>
		<publication>
			<authors>Chris Bowen and Ron Alterovitz</authors>
			<date>
				<year>2018</year>
				<month>May</month>
			</date>
			<title url="https://dl.acm.org/authorize?N652649">Closed-loop global motion planning for reactive, collision-free execution of learned tasks</title>
			<publisher>ACM Transactions on Human-Robot Interaction (THRI)</publisher>
		</publication>
		<publication>
			<authors>Alan Kuntz, Chris Bowen, Cenk Baykal, Art Mahoney, Patrick Anderson, Fabien Maldonado, Robert James Webster III, and Ron Alterovitz</authors>
			<date>
				<year>2018</year>
				<month>May</month>
			</date>
			<title url="http://robotics.cs.unc.edu/publications/Kuntz2018_ICRA.pdf">Kinematic design optimization of a parallel surgical robot to maximize anatomical visibility via motion planning</title>
			<publisher>IEEE International Conference on Robotics and Automation (ICRA)</publisher>
		</publication>
		<publication>
			<authors>Chris Bowen and Ron Alterovitz</authors>
			<date>
				<year>2017</year>
				<month>December</month>
			</date>
			<title url="http://robotics.cs.unc.edu/publications/Bowen2017_ISRR.pdf">Accelerating motion planning for learned mobile manipulation tasks using task-guided Gibbs sampling</title>
			<publisher>International Symposium on Robotics Research (ISRR)</publisher>
		</publication>
		<publication>
			<authors>Alan Kuntz, Chris Bowen, and Ron Alterovitz</authors>
			<date>
				<year>2017</year>
				<month>December</month>
			</date>
			<title url="https://pdfs.semanticscholar.org/2f05/b2056a9e8bbcfa340eff6f67e00f8600999b.pdf">Fast anytime motion planning in point clouds by interleaving sampling and interior point optimization</title>
			<publisher>International Symposium on Robotics Research (ISRR)</publisher>
		</publication>
		<publication>
			<authors>Chris Bowen and Ron Alterovitz</authors>
			<date>
				<year>2016</year>
				<month>July</month>
			</date>
			<title url="http://robotics.cs.unc.edu/publications/Bowen2016_RAL.pdf">Asymptotically optimal motion planning for tasks using learned virtual landmarks</title>
			<publisher>IEEE International Conference on Robotics and Automation (ICRA)</publisher>
		</publication>
		<publication>
			<authors>Chris Bowen, Gu Ye, and Ron Alterovitz</authors>
			<date>
				<year>2015</year>
				<month>January</month>
			</date>
			<title url="http://robotics.cs.unc.edu/publications/Bowen2015_TASE.pdf">Asymptotically optimal motion planning for learned tasks using time-dependent cost maps</title>
			<publisher>IEEE Transactions on Automation Science and Engineering (T-ASE)</publisher>
		</publication>
		<publication>
			<authors>Chris Bowen and Ron Alterovitz</authors>
			<date>
				<year>2014</year>
				<month>September</month>
			</date>
			<title url="http://robotics.cs.unc.edu/publications/Bowen2014_IROS.pdf">Closed-loop global motion planning for reactive execution of learned tasks</title>
			<publisher>IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)</publisher>
		</publication>
	</section>

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				<body>
					<div class="page">
						<div class="content">
							<div class="header">
								<header><xsl:value-of select="name"/></header>
								<div class="contact">
									<xsl:apply-templates select="address"/>
									<xsl:apply-templates select="phone"/>
									<xsl:apply-templates select="email"/>
								</div>
							</div>
							<xsl:apply-templates select="objective"/>
							<xsl:apply-templates select="section"/>
						</div>
						<footer>This XML document automatically transformed itself into HTML for your viewing pleasure.</footer>
					</div>
				</body>
			</html>
		</xsl:template>
	</xsl:stylesheet>
</person>