MEETING-DATE:March 11, 2020
MEETING-LOCATION:DC 3317
MEETING-TIME:10:30
MEETING-CHAIR:Andrew Tinits
MEETING-CHAIRPIC:atinits.png
COFFEE-HOUR-LAST-WEEK:Christopher
COFFEE-HOUR-THIS-WEEK:Andrew
COFFEE-HOUR-NEXT-WEEK:Volunteers?
FORTH-DATE1:March 18, 2020
FORTH-DATE2:March 25, 2020
FORTH-DATE3:April 1, 2020
FORTH-DATE4:April 8, 2020
FORTH-LOCATION1:DC 3317 10:30
FORTH-LOCATION2:DC 3317 10:30
FORTH-LOCATION3:DC 3317 10:30
FORTH-LOCATION4:DC 3317 10:30
FORTH-CHAIR1:Bill Cowan
FORTH-CHAIR2:Xiang Fang
FORTH-CHAIR3:Yu Gu
FORTH-CHAIR4:Joe Istead
FORTH-CHAIRPIC1:bill.png
FORTH-CHAIRPIC2:x2fang.png
FORTH-CHAIRPIC3:yugu.jpg
FORTH-CHAIRPIC4:chair.jpg
FORTH-TP1:Andrew Tinits
FORTH-TP2:Bill Cowan
FORTH-TP3:Xiang Fang
FORTH-TP4:Yu Gu
FORTH-TPPIC1:atinits.png
FORTH-TPPIC2:bill.png
FORTH-TPPIC3:x2fang.png
FORTH-TPPIC4:yugu.jpg
TPNAME:Christopher Batty 
TPTITLE:Advection-Reflection schemes for Fluid Flow
TPABSTRACT:A classic problem with typical fluid simulators in graphics (and in computational fluid dynamics more broadly) is that the fluid equations are split into two basic steps for efficiency: advection ("moving the velocities") and projection ("enforcing incompressibility"). Doing so offers greater speed, but it comes at the cost of artificial energy loss. I'll discuss a recently proposed technique to reduce these effects, which uses reflection instead of projection.
TPPIC:batty.jpg
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CONONE:SIGGRAPH 2020 is July 19-23, 2020 in Washington DC. (Deadline passed.)
CONTWO:Graphics Interface GI 2020 is May 21-22, 2020 in Toronto. Deadline is April 3, 2020.
CONTHREE:Computer Graphics International CGI 2020 has been delayed to October 20-23, 2020 in Geneva, Switzerland.  Deadline is now June 1st, 2020.
CONFOUR:SIGGRAPH ASIA 2020 is November 17-20, 2020 in Daegu, South Korea. Paper deadline is May 10th.
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SEMINARS:<DL><DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200211-1030.7276">Wednesday, 11 March 2020</A>, 10:30AM - Computer Science  (<em>Cryptography, Security, and Privacy (CrySP) Group</em>), DC 1304 <DD> Mohammad Hajiabadi: -- <EM> Stronger Foundations for Public-Key Cryptography: New Constructions and Barriers </EM><BR><BR>    <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200212-1030.4731">Thursday, 12 March 2020</A>, 10:30AM - Computer Science  (<em>Artificial Intelligence Lab</em>), DC 1304 <DD> Renjie Liao: -- <EM> Deep Learning on Graphs </EM><BR><BR>       <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200213-1030.19997">Friday, 13 March 2020</A>, 10:30AM - Computer Science  (<em>Artificial Intelligence Lab</em>), DC 1302<DD> Kate Larson: -- <EM> Fair Reward Division </EM><BR><BR> <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200213-1100.11351">Friday, 13 March 2020</A>, 11:00AM - Computer Science  (<em>Cryptography, Security, and Privacy (CrySP) Group</em>), DC 1304 <DD> Masoumeh Shafieinejad: -- <EM> A Scalable Post-quantum Hash-based Group Signature </EM><BR><BR>    <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200216-1030.20551">Monday, 16 March 2020</A>, 10:30AM - Computer Science  (<em>Data Systems Group</em>), DC 1304 <DD> Carl Yang: -- <EM> Multi-Facet Contextualized Graph Mining with Cube Networks </EM><BR><BR> <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200217-1530.18515">Tuesday, 17 March 2020</A>, 3:30PM - Computer Science  (<em>Distinguished Lecture Series</em>), DC 1302 <DD> Moshe Y. Vardi: -- <EM> An Ethical Crisis in Computing? </EM><BR><BR> <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200219-1030.26333">Thursday, 19 March 2020</A>, 10:30AM - Computer Science  (<em>Artificial Intelligence Lab</em>), DC 1304 <DD> Yuhong Guo: -- <EM> Zero-Shot Learning: Generalized Information Transfer Across Classes </EM><BR><BR>  <DT><A HREF="https://www.math.uwaterloo.ca/~wnotice/notice_prgms/wreg/list_full.pl?20200225-1030.4294">Wednesday, 25 March 2020</A>, 10:30AM - Computer Science  (<em>Scientific Computation Group</em>), DC 1304 <DD> Niao He: -- <EM> Learning Under Uncertainty: Jumping Out of the Traditional Stochastic Optimization Framework </EM><BR><BR>  </DL>