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	<title>VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP</title>
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		<title>From Researcher to Founder: Ten Commandments for Building a Successful Startup</title>
		<link>https://vip.uwaterloo.ca/from-researcher-to-founder-ten-commandments-for-building-a-successful-startup/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Fri, 30 Oct 2026 15:58:52 +0000</pubDate>
				<category><![CDATA[Seminars]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4608</guid>

					<description><![CDATA[Allen Lau October 30rd, 2026 &#8211; 12:00-1:00 pm, EC4-2101A A condensed version of Allen’s Catalyst Foundry program, which he developed to help researchers and technical founders transition from invention to building successful companies. He will start with a very short version of my Wattpad journey, sharing a few lessons from building the company from scratch [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Allen Lau</p>



<span id="more-4608"></span>



<p>October 30rd, 2026 &#8211; 12:00-1:00 pm, EC4-2101A<br><br>A condensed version of Allen’s Catalyst Foundry program, which he developed to help researchers and technical founders transition from invention to building successful companies. He will start with a very short version of my Wattpad journey, sharing a few lessons from building the company from scratch to 100 million users and its eventual acquisition. I’ll then introduce my Ten Commandments for Founders, focusing on the mindset shifts and practical lessons involved in moving from researcher to entrepreneur.<br> </p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>So You Want to Be a Faculty Member?</title>
		<link>https://vip.uwaterloo.ca/so-you-want-to-be-a-faculty-member/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Sat, 24 Oct 2026 00:49:31 +0000</pubDate>
				<category><![CDATA[Seminars]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4603</guid>

					<description><![CDATA[Prof. David Clausi October 23rd, 2026 &#8211; 12:00-1:00 pm, EC4-2101A Ever wondered what it really takes to become a professor … and what the job actually involves? Whether you&#8217;re seriously considering an academic career, mildly curious, or just want a peek behind the curtain, this seminar will offer an insider’s perspective on the opportunities, challenges, [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Prof. David Clausi</p>



<span id="more-4603"></span>



<p>October 23rd, 2026 &#8211; 12:00-1:00 pm, EC4-2101A<br><br>Ever wondered what it <em>really</em> takes to become a professor … and what the job actually involves? Whether you&#8217;re seriously considering an academic career, mildly curious, or just want a peek behind the curtain, this seminar will offer an insider’s perspective on the opportunities, challenges, and realities of faculty life.<br> </p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Robert Yang</title>
		<link>https://vip.uwaterloo.ca/robert-yang/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Wed, 07 Oct 2026 16:47:31 +0000</pubDate>
				<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Current Students]]></category>
		<category><![CDATA[David Clausi]]></category>
		<category><![CDATA[M.A.Sc.]]></category>
		<category><![CDATA[Sports Analytics]]></category>
		<category><![CDATA[Yuhao Chen]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4595</guid>

					<description><![CDATA[Robert Yang is a MASc student in Systems Design Engineering, co-supervised by Prof. David Clausi and Prof. Yuhao Chen. He is in the Sports Analytics Research Group, with research interest in machine learning and computer vision.]]></description>
										<content:encoded><![CDATA[
<p>Robert Yang is a MASc student in Systems Design Engineering, co-supervised by Prof. David Clausi and Prof. Yuhao Chen. He is in the Sports Analytics Research Group, with research interest in machine learning and computer vision.</p>


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<div class="lazyblock-research-1SaAKb wp-block-lazyblock-research"><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research topics</div><a href=https://vip.uwaterloo.ca/computer-vision/>Computer Vision</a><br><a href=https://vip.uwaterloo.ca/sports-analytics/>Sports Analytics</a><br></div>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Challenges in subglacial hydrology and ice dynamics modeling</title>
		<link>https://vip.uwaterloo.ca/challenges-in-subglacial-hydrology-and-ice-dynamics-modeling/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 15:53:18 +0000</pubDate>
				<category><![CDATA[Seminars]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4593</guid>

					<description><![CDATA[Prof. Christine Dow October 2ed, 2026 &#8211; 12:00-1:00 pm, EC4-2101A Modeling is a crucial component of research in glaciology for examining drivers of ice flow, ice mass loss into the ocean, and related sea level rise. The difficulty of accessing glaciers, particularly the bed, which lies under hundreds, if not thousands of meters of ice, [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Prof. Christine Dow</p>



<span id="more-4593"></span>



<p>October 2ed, 2026 &#8211; 12:00-1:00 pm, EC4-2101A</p>



<p><br>Modeling is a crucial component of research in glaciology for examining drivers of ice flow, ice mass loss into the ocean, and related sea level rise. The difficulty of accessing glaciers, particularly the bed, which lies under hundreds, if not thousands of meters of ice, means that models must fill a significant gap in our knowledge of glacial conditions. However, this also means that there are limited data available for model validation and, for model inputs, the datasets often contain large errors or omissions. In this seminar, I will introduce the current state of glacial modeling, including recent advances in coupling subglacial hydrology and ice dynamics. I will also discuss where the research gaps are, with focus on the data that will be required to fill those gaps.  <br> </p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Yu-Hsi (Ashley) Li</title>
		<link>https://vip.uwaterloo.ca/yu-hsi-ashley-li/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Fri, 11 Sep 2026 14:51:26 +0000</pubDate>
				<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Current Students]]></category>
		<category><![CDATA[John Zelek]]></category>
		<category><![CDATA[M.A.Sc.]]></category>
		<category><![CDATA[Video Analysis]]></category>
		<category><![CDATA[Yuhao Chen]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4581</guid>

					<description><![CDATA[Ashley is a MASc student in Systems Design Engineering, supervised by Prof. Yuhao Chen and Prof. John Zelek. Her research interests include computer vision and medical imaging, specifically focus on video understanding and analysis.]]></description>
										<content:encoded><![CDATA[
<p>Ashley is a MASc student in Systems Design Engineering, supervised by Prof. Yuhao Chen and Prof. John Zelek. Her research interests include computer vision and medical imaging, specifically focus on video understanding and analysis.</p>



<p><br><strong>Linkedin:</strong> <a href="https://www.linkedin.com/in/yuhsi-li/">https://www.linkedin.com/in/yuhsi-li/</a><br></p>


<div class="lazyblock-supervisors-1FzhPg wp-block-lazyblock-supervisors"><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Supervisors</div><a href=https://vip.uwaterloo.ca/j-zelek/>John Zelek</a>, <a href=https://vip.uwaterloo.ca/yuhao-chen-2/>Yuhao Chen</a></div>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Zirui (Iris) Chen</title>
		<link>https://vip.uwaterloo.ca/zirui-iris-chen/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Thu, 10 Sep 2026 18:27:24 +0000</pubDate>
				<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Current Students]]></category>
		<category><![CDATA[David Clausi]]></category>
		<category><![CDATA[M.A.Sc.]]></category>
		<category><![CDATA[Video Analysis]]></category>
		<category><![CDATA[Yuhao Chen]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4576</guid>

					<description><![CDATA[Zirui is a MASc student in Systems Design Engineering, supervised by Prof. Yuhao Chen and Prof. David Clausi. She is interested in machine learning, deep learning, and geospatial data science. Currently, she is working on egocentric cooking video analysis.]]></description>
										<content:encoded><![CDATA[
<p>Zirui is a MASc student in Systems Design Engineering, supervised by Prof. Yuhao Chen and Prof. David Clausi. She is interested in machine learning, deep learning, and geospatial data science. Currently, she is working on egocentric cooking video analysis.</p>



<p><br><strong>Linkedin:</strong> <a href="https://www.linkedin.com/in/zirui-iris-chen/">https://www.linkedin.com/in/zirui-iris-chen/</a><br></p>


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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Supervisors</div><a href=https://vip.uwaterloo.ca/d-clausi/>David Clausi</a>, <a href=https://vip.uwaterloo.ca/yuhao-chen-2/>Yuhao Chen</a></div>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Yuanpei (Robin) Xiang</title>
		<link>https://vip.uwaterloo.ca/yuanpei-robin-xiang/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Wed, 09 Sep 2026 21:13:18 +0000</pubDate>
				<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Current Students]]></category>
		<category><![CDATA[M.A.Sc.]]></category>
		<category><![CDATA[Paul Fieguth]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4570</guid>

					<description><![CDATA[Yuanpei (Robin) Xiang is a MASc student in Systems Design Engineering at the University of Waterloo, supervised by Prof. Paul Fieguth.]]></description>
										<content:encoded><![CDATA[
<p>Yuanpei (Robin) Xiang is a MASc student in Systems Design Engineering at the University of Waterloo, supervised by Prof. Paul Fieguth.</p>


<div class="lazyblock-supervisors-ZNfz9I wp-block-lazyblock-supervisors"><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Supervisors</div><a href=https://vip.uwaterloo.ca/p-fieguth/>Paul Fieguth</a></div>

<div class="lazyblock-research-interests-ZNLEC0 wp-block-lazyblock-research-interests"><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research interests</div>Computer Vision, 
Self-supervised Learning, 
Superpixels, 
3D Industrial Inspection</div>


<p></p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Hongyuan Hua</title>
		<link>https://vip.uwaterloo.ca/hongyuan-hua/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Wed, 09 Sep 2026 20:26:14 +0000</pubDate>
				<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Current Students]]></category>
		<category><![CDATA[David Clausi]]></category>
		<category><![CDATA[Ph.D.]]></category>
		<category><![CDATA[Video Analysis]]></category>
		<category><![CDATA[Yuhao Chen]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4565</guid>

					<description><![CDATA[Hongyuan Hua is a PhD student in Systems Design Engineering, supervised by Prof. David A. Clausi and Prof Yuhao Chen. His research focuses on Computer Vision, Generative Models, Video Generation &#038; Editing, and Multimodal Large Language Models (MLLMs).]]></description>
										<content:encoded><![CDATA[
<p>Hongyuan Hua is a PhD student in Systems Design Engineering, supervised by Prof. David A. Clausi and Prof. Yuhao Chen. His research focuses on Computer Vision, Generative Models, Video Generation &amp; Editing, and Multimodal Large Language Models (MLLMs).</p>


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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Supervisors</div><a href=https://vip.uwaterloo.ca/d-clausi/>David Clausi</a>, <a href=https://vip.uwaterloo.ca/yuhao-chen-2/>Yuhao Chen</a></div>

<div class="lazyblock-research-Z27wM7P wp-block-lazyblock-research"><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research topics</div><a href=https://vip.uwaterloo.ca/computer-vision/>Computer Vision</a><br><a href=https://vip.uwaterloo.ca/video-analysis/>Video Analysis</a><br></div>]]></content:encoded>
					
		
		
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		<title>3D Visual Character Motion Generation, Reconstruction, and Embodied Agents</title>
		<link>https://vip.uwaterloo.ca/3d-visual-character-motion-generation-reconstruction-and-embodied-agents/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Fri, 04 Sep 2026 14:08:16 +0000</pubDate>
				<category><![CDATA[Seminars]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4563</guid>

					<description><![CDATA[Prof. Li Cheng September 4th, 2026 &#8211; 1:00-2:00 pm, EC4-2101A Recent advancements in sensing and deep learning have unlocked exciting possibilities for the visual analysis of human and animal motions in the physical 3D space. These innovations hold great potential for applications across diverse domains, including for example natural user interfaces, AR/VR, robotics, and gaming. [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Prof. Li Cheng</p>



<span id="more-4563"></span>



<p>September 4th, 2026 &#8211; 1:00-2:00 pm, EC4-2101A</p>



<p><br>Recent advancements in sensing and deep learning have unlocked exciting possibilities for the visual analysis of human and animal motions in the physical 3D space. These innovations hold great potential for applications across diverse domains, including for example natural user interfaces, AR/VR, robotics, and gaming. In this talk, I will present the latest research progress in this rapidly evolving field including especially 3D human motion generation, pose tracking and shape reconstruction, and related tasks &#8211; highlighting key developments from the past few years as well as contributions from our own work.<br> </p>
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		<title>Interdisciplinary Living Lab for Environmental Monitoring</title>
		<link>https://vip.uwaterloo.ca/interdisciplinary-living-lab-for-environmental-monitoring/</link>
		
		<dc:creator><![CDATA[Zhibo Wang]]></dc:creator>
		<pubDate>Fri, 19 Jun 2026 15:00:05 +0000</pubDate>
				<category><![CDATA[Seminars]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=4552</guid>

					<description><![CDATA[Thiruni Thirimanne, Prof. Bruce MacVicar, Salma Elgohary, Mira Wang, Leo Qi June 19th, 2026 &#8211; 12:00-1:00 pm, EC4-2101A This presentation describes the current state of the interdisciplinary Living Lab being developed on campus. The goal is to connect researchers across disciplines and make it easier to bring real environmental data into classes, undergraduate design projects, and research. We [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Thiruni Thirimanne, Prof. Bruce MacVicar, Salma Elgohary, Mira Wang, Leo Qi</p>



<span id="more-4552"></span>



<p>June 19th, 2026 &#8211; 12:00-1:00 pm, EC4-2101A</p>



<p>This presentation describes the current state of the interdisciplinary Living Lab being developed on campus. The goal is to connect researchers across disciplines and make it easier to bring real environmental data into classes, undergraduate design projects, and research.</p>



<p>We will give a quick overview of the existing sensor setups in E2, RCH, and CPH, which have been collecting data for about 1 to 2 years. We will also discuss the planned expansion of the network, including new sensors to measure salt concentration in Laurel Creek, which is scheduled for deployment this summer.</p>



<p>Finally, we will introduce our new platform, DataHub.uwaterloo.ca, which brings together all data collected from campus sensors and citizen science into a&nbsp;single easy-to-use resource for both research and teaching.&nbsp;<br> </p>
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