March 2018 - Dm-meeting - mailman.cs.vt.edu

Great news: Liangzhe completes his defense!
by B. Aditya Prakash 28 Mar '18

28 Mar '18

Warmest congratulations to Liangzhe who successfully finished his defense earlier today! We all need to call him Dr. Chen from now on :-) Best wishes for a great career ahead! - Aditya

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Fwd: Study group
by B. Aditya Prakash 28 Mar '18

28 Mar '18

FYI, might be of interest to attend when you can. -------- Forwarded Message -------- Subject: Study group Date: Wed, 28 Mar 2018 01:17:31 -0400 From: Jia-Bin Huang <jbhuang(a)vt.edu> To: Ryan K. Williams <rywilli1(a)vt.edu>, Pratap Tokekar <Tokekar(a)vt.edu>, A. Lynn Abbott <abbott(a)vt.edu>, B. Aditya Prakash <badityap(a)cs.vt.edu>, Bert Huang <bhuang(a)vt.edu> Hi Lynn, Pratap, Ryan, Adithya, Bert, We are organizing computer vision and machine learning reading group. https://github.com/vt-vl-lab/reading_group This is a weekly meeting for learning new work in the field of CV/ML. However, the reading group is highly research oriented so people from different fields may not benefit much. To complement the reading group, we organize a "study group" where we will watch online videos on various topics and have discussions afterward. Time: 1 - 2 PM every Wednesday Place: Whittemore Hall 302 Our topics this semester will follow Stanford CS231n. * Recurrent Neural Networks * Detection and Segmentation * Visualization and Understanding * Generative Models * Deep Reinforcement Learning * Adversarial Examples and Adversarial Training Could you forward the information to your students? Thanks! Best, Jia-Bin

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No DM-Meeting This Wednesday (March 28)
by Sorour Ekhtiari Amiri 26 Mar '18

26 Mar '18

Hi everyone, Liangzhe's final PhD. thesis defense is on Wednesday, March 28 12:00noon at 221 Kelly Hall. So, we will have no DM-meeting this Wednesday. If you are free, please join us for his defense. Best regards, Sorour

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Fwd: [Urbcomp-faculty] REMINDER: UrbComp Seminar Series ft. Tim Witten, Blacksburg Transit on March 28 at 3 pm
by B. Aditya Prakash 26 Mar '18

26 Mar '18

This should be of interest to us. Please try to attend (especially senior folks). - Aditya -------- Forwarded Message -------- Subject: [Urbcomp-faculty] REMINDER: UrbComp Seminar Series ft. Tim Witten, Blacksburg Transit on March 28 at 3 pm Date: Mon, 26 Mar 2018 17:07:46 +0000 From: Hawrami, Wanawsha via Urbcomp-faculty <urbcomp-faculty(a)cs.vt.edu> Reply-To: Hawrami, Wanawsha <wanah92(a)vt.edu> To: urbcomp-faculty(a)cs.vt.edu <urbcomp-faculty(a)cs.vt.edu>, urbcomp-seminars(a)cs.vt.edu <urbcomp-seminars(a)cs.vt.edu>, dac_students(a)googlegroups.com <dac_students(a)googlegroups.com>, vt-ncr-arlington-g(a)vt.edu <vt-ncr-arlington-g(a)vt.edu>, vt-ncr-g(a)vt.edu <vt-ncr-g(a)vt.edu> Dear Students and Colleagues, Please join us for the upcoming UrbComp Seminar Series featuring Tim Witten from Blacksburg Transit on *Wednesday March 28 at 3 - 4 pm* in room 4-024 of the Virginia Tech Research Center - Arlington and Goodwin 440. We look forward to seeing you there!

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Wednesday, March 21st, @ 4:30 pm, McB 133C, Liangzhe Chen
by Sorour Ekhtiari Amiri 19 Mar '18

19 Mar '18

Hi everyone, Please join us for our next DM-Meeting. ****DM-Meeting Spring 2018**** WHO: Liangzhe Chen *WHEN: Wednesday, March 21st, @ 4:30 pmWHERE: McB 133C* WHAT: Liangzhe will give a preparation talk for his final defense. Best regards, Sorour

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Wednesday, March 14th, @ 4:30 pm, McB 133C, Bijaya Adhikari (LOCATION CHANGED)
by Sorour Ekhtiari Amiri 14 Mar '18

14 Mar '18

Hi everyone, Please join us for our next DM-Meeting. ****DM-Meeting Spring 2018**** WHO: Bijaya Adhikari WHEN: Wednesday, March 14th, @ 4:30 pm *WHERE: McB 133C*WHAT: Bijaya will talk about his ongoing project, Title: On Bijaya's current work for Deep learning for Epidemiology Description: Forecasting useful metrics for Deep Learning has always been important for policymakers like CDC. Accurate estimation of epidemiological metrics like the peak of infection, peak time, and duration of outbreaks allow policymakers to devise strategic precautionary measures. However, most existing techniques for epidemic forecasting rely on statistical techniques. In this project, we are working on building robust deep learning based tools for correct epidemiological forecasting. Best regards, Sorour

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