GW Computer Science

Department of Computer Science at The George Washington University

[GW Computer Science @GWCOMPSCI]

Fahad AlGhamdi defending his Thesis on linguistic code switching detection.

[GW Computer Science @GWCOMPSCI]

Big News, the Knight foundation is funding @ICTlivingston and @franksesno at GW to create an institute on Data, Democracy and Politics, with Engineering School collaboration from David Broniatowski, @aylin_cim, and @rbpless: https://t.co/RfkdqruKNf #notFakeNews #onlyatgw

[GW University @GWtweets]

Before she taught at @gwengineering, Dr. Dianne Martin wrote programs that helped make the #Apollo11 moon landing possible.

https://t.co/lUiZZNNWDW

[Gabriel Parmer (also @[email protected]) @__gparmer]

Senior design can result in amazing things..if a magnificent, motivated student goes on and works on the problem exhaustively for ten years!!!

Proud I worked with Patrick on the gestation phases, but more proud that he ran with it, and made it into an amazing piece of tech.

[Samsara Foubert @samsaranc]

Excited to host a lecture by the distinguished @vgcerf on "The Unfinished Internet" tomorrow at 7pm for @GWCOMPSCI!
There are still tickets left; RSVP at https://t.co/4bUSINcRVM or watch the livestream on @GWtweets' facebook page: https://t.co/18EWNrOgxu

[Robert Pless @rbpless]

Happy that we could bring the amazing Vint Cerf to our campus for our students and community! TIX still available: https://t.co/DCcVCN3lw4

[GW Computer Science @GWCOMPSCI]

GWU Computer Science researchers building Machine Learning tools to fight human trafficking: https://t.co/r6cKItJxXO

[GW Computer Science @GWCOMPSCI]

This Vox article beautifully covers @AOC explaining the bias in AI and the research of our Professor Caliskan (@aylin_cim) https://t.co/gOhIZSAXeX

[GW Computer Science @GWCOMPSCI]

Our post-doc Abby Stylianou making an impact at the AAAI conference

[Robert Pless @rbpless]

.@abby621 at #AAAI19 introducing Hotels-50K, a new extreme classification/embedding dataset, specifically useful to encourage research on recognizing the hotel where a picture was taken to support trafficking investigations. https://t.co/rtVPdPXmdW

[Samsara Foubert @samsaranc]

Very, super, mega excited to be taking "Bias in AI" with the amazing @aylin_cim this semester! Yesterday was a rad background on opportunities for and case studies of algorithmic bias, with great readings/media from authors like @jovialjoy @mrtz @AINowInstitute @s010n @stoyanoj

[GW Computer Science @GWCOMPSCI]

The amazing @stoyanoj talking about algorithmic fairness. ~"Fairness must be designed into the algorithm from the very beginning"

[GW Computer Science @GWCOMPSCI]

"GPUs are so fast, but they are hungry", Prof Howie Huang

[GW Computer Science @GWCOMPSCI]

Prof Howie Huang, finding patterns in big graph data!

[GW Computer Science @GWCOMPSCI]

"Blockchain is just a chain of blocks... [...so there is a lot of work needed to do great things]" --- Prof Xiuzhen Cheng

[GW Computer Science @GWCOMPSCI]

"My code never works the first time I write it. It's terrifying" -- Prof. Gabe Parmer

[GW Computer Science @GWCOMPSCI]

CS Day: Computer Science Open House. Friday, November 9th | 8:30a-3p | SEH B1167. MS/PhD Applications fees waived for attendees!

[GW Computer Science @GWCOMPSCI]

Dr. Doshi-Velez - Assistant Professor at Harvard University's Paulson School of Engineering - will be leading an academic discussion about Public Health and Technology. Her research lies at the intersection of machine learning & healthcare. Thursday, October 25th-12:00p-SEH 2000

[GW Computer Science @GWCOMPSCI]

Robot Planning and Autonomous Driving by Dr. Dinesh Manocha. Wednesday, October 24th | 11:00am | SEH B1270 | CS Colloquium

[GW Computer Science @GWCOMPSCI]

Come to Marvin G08 today at 3:30 to meet other women in computer science and learn about the Grace Hopper Conference! There will be FREE DONUTS!

[GW Computer Science @GWCOMPSCI]

GW ACM and WiCS are hosting a professor talk with Dr. Aylin Caliskan, a new professor at GW! Dr. Caliskan will be talking about her research on discrimination and unfairness in machine learning, as well as strategies to mitigate these biases. Light refreshments will be provided.