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Roni Rosenfeld, Professor   my-email-address-distorted

School of Computer Science (LTI, MLD, CSD, CBD

Carnegie Mellon University

Office: Gates-Hillman Complex 8103.   Phone 412-268-7678.   Fax 412-268-5576.
Secretary: Christina Melucci, GHC 6509, 412-268-1593.
Mailing address:  Carnegie Mellon / Computer Science,  5000 Forbes Ave.,  Pgh PA 15213

Hi! My research interests are in:

  • Forecasting Epidemics: The long term vision of our Delphi research group is to make epidemiological forecasting as universally accepted and useful as weather forecasting is today.  As was the case with weather forecasting, this will likely take a long time.  In the shorter term, we select high value epidemiological forecasting targets (currently Influenza and Dengue); create baseline forecasting methods for them; establish metrics for measuring and tracking forecasting accuracy; estimate the limits of forecastability for each target; and identify new sources of data that could be helpful to the forecasting goal.

Ř  Epi-Forecasting challenges: We have participated, and done very well, in all epidemiological forecasting challenges organized by the U.S. government to date: Influenza 2013—2014 (CDC); Chikungunya 2015 (DARPA); Dengue 2009—2014 (White House OSTP); Influenza 2014—2015 (CDC); Influenza 2015—2016 (CDC);  Influenza 2016—2017 (CDC, ongoing).

Ř  Try our operational, geographically detailed, real time flu nowcasting service.

Ř  Try our operational, weekly updated flu forecasting.

Ř  We are part of the multi-university MIDAS research group.

Ř  December 2016 News Alert: CDC has just named us “Most Accurate Forecaster” for 2015-2016.

  • Information and Communication Technologies for Development (ICT4D), and specifically Spoken Language Technologies for Development (SLT4D), which is the term we coined for our own subfield of ICT4D: finding ways to use spoken language technologies (like automatic speech recognition, speech synthesis, and human-machine dialog systems) to aid socio-economic development around the world.

Ř  Our current project, Polly, uses telephone-based viral entertainment to reach low-literate people in Pakistan and India, familiarizing them with speech interfaces and then introducing them to development-related services.  First deployed in Lahore in May 2012, Polly reached over 165,000 users all over Pakistan and fielded over 2.5 million phone calls in 8 months.  In 2013 we launched Polly in Bangalore, India, and it ended up spreading virally to West Bengal, New Delhi and other areas of India.  In March 2015 we deployed Polly in Guinea, for person-to-person spreading of approved Public Health messages about Ebola in many languages, in collaboration with the US embassy in Conakry.  In 2016, in collaboration with Information Technology University (Lahore) we launched two new services in Pakistan: Baang, a voice-based Reddit, and Sawaal, a voice-based quiz game.

Ř  A previous project, HealthLine, investigated the use of a telephone-based automated dialog system for access to healthcare information by low-literate community health workers in Pakistan.

Publications (updated sporadically)

Teaching: 10-601 Machine Learning, 11-761/11-661 Language and Statistics, 02-701 Computational Biology Journal Club.

Current Students:  Logan Brooks (CSD, Epi-forecasting),   Lisheng Gao (MLD, Epi-forecasting),   Pu (Paul) Liang (CS, Epi-forecasting),   Zirui (Edward) Wang (CS, Epi-forecasting).

Graduated PhD Students:  David Farrow (CompBio, viral evolution + Epi-forecasting),   Ali Raza (LTI, ICT4D),   Chuang Wu (CompBio Dept, viral genotype-phenotype mapping),   Jahanzeb Sherwani (CSD, ICT4D),   Yong Lu (CSD, CompBio),   Dan Bohus (CSD, dialog systems),   Stefanie Tomko (LTI, speech communication),   Jerry (Xiaojin) Zhu (LTI, MLD, semi-supervised learning),   Lin Chase (RI, speech recognition).

Past Post-docs:  Andy Walsh (computational virology),   Xiaojin Wang (machine learning),   Stan F. Chen (language modeling),   Pierre DuPont (language modeling).

 

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