Growing up in #Peru, Gissella Bejarano (@gissemari), MS '17, PhD '21, first heard of @binghamtonu through the Fulbright Program.
After studying @BingCompSci, her goal is to return to Peru and build up its research community.
#bearcats4life#Binghamton
https://t.co/gOzDER9CzN
By building their model using anonymous cell-phone data & infection rates, #WatsonCollege Assistant Professors @ArtiRamesh & @SeetharamAnand from @BingCompSci can accurately predict how COVID-19 — or a similar virus — can spread among neighboring regions.
https://t.co/pcGaOUaqqT
Congratulations to Gissella Bejarano for successfully defending her thesis titled Machine Learning Models for Designing Smart Cities and Communities!! She will be joining as a professor at a renowned university in Peru! We wish her all the best!
Our research on characterizing mobility patterns during COVID-19 using cellular network data in Rio de Janeiro has been featured in ACM Tech News!! Check it out here: https://t.co/lWUXkZRixe
Our DeepER project was covered by Voice of America! Check below for the full interview!
Gissella @gissemari is the lead PhD student and she is currently on the job market for postdoc and industry positions.
Our DeepER project that predicts resolution time of emergency incidents has been covered by Voice of America. VoA is the federally supported news network of the USA and is the largest U.S. international broadcaster. Our interview is published in Russian. https://t.co/hs2H46gcVk
Our work on using deep learning models to predict resolution times for emergency services was covered by Binghamton news!! @gissemari is the lead author of this work and she is currently on the job market!!
A new tool called DeepER — developed @BinghamtonU's #WatsonCollege@BingCompSci — analyzes data from #NYC emergency services and suggests how to improve public safety through re-allocation of resources.
https://t.co/Z5AO2ly08Y
#Binghamton
Our paper on analyzing the societal impact of COVID-19 during the early days of the pandemic has been accepted for publication in IEEE SocialCom!
The paper can be found here: https://t.co/rQXYfNiSvG
Congratulations to Gissella @gissemari for passing her PhD prospectus with flying colors!!!
She is on the job market and has outstanding publications as part of her PhD thesis! More details are here: https://t.co/8tVbSOoDU1
The work of @BingCompSci Asst. Prof. Arti Ramesh (@ArtiRamesh) and her PhD student Shawn Bailey on a structured and linguistic approach to understanding recovery and relapse in AA was accepted to ACM Trans. on the Web (TWEB). The paper is at: https://t.co/RQR6d4Ttlr
@bing_watson
My paper titled "Understanding the impact of COVID-19 on education and some tips to improve online teaching" has been accepted to the ACM SIGCOMM Networking Education Workshop. Check it out! https://t.co/qSh9Hk5jjs
Asst. Profs. @SeetharamAnand and @ArtiRamesh and their students Raushan Raj and Swaroop Gowdra have two papers related to COVID-19 accepted to AI for Social Good Workshop. One on predicting cases and the other on understanding societal impact in the USA. https://t.co/6Bxk3S8lSl
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Finding the right computer models to predict the spread of #COVID19 can be tricky, but researchers at the Watson School's @BingCompSci believe they have an innovative way to solve those problems, and they are sharing their work online.
#Binghamton
https://t.co/epnAsuh9OC
Universities are pursuing fall in-person classes "for the good of the students." In this interactive story, you move through just one day of in-person classes from the perspective of a student.
https://t.co/fXfDSx0d4F
#AcademicChatter@twinethreads
@pinar_ozisik Our group at SUNY Binghamton has ongoing projects on fairness, explainability, and interpretability in machine learning. Email Prof. Arti Ramesh if you are interested!