[[https://youtu.be/ebjtkdocPJk | Prof. Ghosh receives 2015 IEEE CS Technical Achievement Award for his work on multi-learner systems]]

[[https://wncg.org/news/facultypositions2015 | Recent Students Accept Faculty Positions at Illinois-Urbana, Cornell and Emory]]

Joyce Ho and Yubin Park are '''2014 Code-a-Palooza Winners''' at [[http://healthdatapalooza.org/news/ \ Datapalooza 2014]]

Alumna Suju Rajan receives the '''Best Paper Award at RecSys14''' for "Beyond Clicks: Dwell Time for Personalization"

Joyce Ho and Yubin Park are '''2014 Code-a-Palooza Winners''' at Datapalooza 2014

!!!!! The [[http://wncg.org | WNCG]] initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, with applications to solving complex engineering problems.  Topics include modeling and analysis of complex networks, both social and physical, analysis of heterogeneous and complex EHR and other health data, learning from distributed sensor data acquired from intelligent transportation systems, etc. Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational  aspects associated with such  problems. We have also deployed solutions that  interface with real cyber-physical systems. 

!!!!! The [[http://wncg.org | WNCG]] initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, and their application to solving complex engineering problems that involve the modeling and analysis of complex networks, both social and physical, heterogeneous and complex EHR and other health data, distributed sensor data from intelligent transportation systems, etc. Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational  aspects associated with such  problems. We have also deployed solutions that  interface with real cyber-physical systems as well as the ambient world of data, signals and control.

!! Data Science & Engineering @ WNCG

[[https://wncg.org/news/wncg-faculty-and-students-showcase-innovation-during-sxsw-2015 | Making Big Data Digestible Panel at SXSW 2015]]

[[https://wncg.org/news/wncg-faculty-and-students-showcase-innovation-during-sxsw-2015 |
Making Big Data Digestible Panel at SXSW 2015]]

'Making Big Data Digestible' Panel at SXSW 2015]]

"Making Big Data Digestible" Panel at SXSW 2015]]

!!!!! The WNCG initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, and their application to solving complex engineering problems that involve the modeling and analysis of complex networks, both social and physical, heterogeneous and complex EHR and other health data, distributed sensor data from intelligent transportation systems, etc. Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational  aspects associated with such  problems. We have also deployed solutions that  interface with real cyber-physical systems as well as the ambient world of data, signals and control.

The Data Science & Engineering initiative currently involves over 30 graduate students within WNCG. The listed faculty members also supervise several students from other areas of ECE, as well as from other departments at UT such as Computer Sciences, Statistical and Data Sciences and Biomedical Engineering.

Recent graduates are working at companies such as Google, Yahoo, Qualcomm, Facebook and Microsoft Research, or serving in faculty positions at top universities such as Illinois-Urbana (CS), Cornell (OR), Emory (CS), Minnesota (CS)  ADD MORE.

Edison Series Brings Big Data to Middle-School and High-School Students
http://wncg.org/news/edison-series-brings-big-data-middle-school-and-high-school-students

Digesting Big Data Panel at SXSW 2015
https://wncg.org/news/wncg-faculty-and-students-showcase-innovation-during-sxsw-2015

!! Data Science and Engineering

!!!!! The WNCG initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, and their application to solving complex engineering problems that involve the modeling and analysis of complex networks, both social and physical, heterogeneous and complex EHR and other health data, distributed sensor data from intelligent transportation systems, etc.Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational (Hadoop/Spark; visualization) aspects of these problems, in addition to creating working interfaces with real cyber-physical systems and the ambient world of data, signals and control.

This thrust currently involves over 30 graduate students within WNCG. The faculty members listed above also supervise several students from other areas of ECE, as well as from other departments at UT such as Computer Sciences, Statistical and Data Sciences and Biomedical Engineering.

Recently alumni are working at companies such as Google, Yahoo, Qaualcomm, Facebook and Microsoft Research, and or have found faculty positions in top universities such as Illinois-Urbana (CS), Cornell (OR), Emory (CS), Minnesota (CS)  ADD MORE.

!!!! The WNCG initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, and their application to solving complex engineering problems that involve the modeling and analysis of complex networks, both social and physical, heterogeneous and complex EHR and other health data, distributed sensor data from intelligent transportation systems, etc.Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational (Hadoop/Spark; visualization) aspects of these problems, in addition to creating working interfaces with real cyber-physical systems and the ambient world of data, signals and control.

Recently alumni are working at companies such as Google, Yahoo, Qaualcomm, Facebook and Microsoft Research, and or have found faculty positions in top universities such as Illinois-Urbana (CS), Cornell (OR), Emory (CS), Minnesota (CS)  ADD MORE.

!!! The WNCG initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, and their application to solving complex engineering problems that involve the modeling and analysis of complex networks, both social and physical, heterogeneous and complex EHR and other health data, distributed sensor data from intelligent transportation systems, etc.Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational (Hadoop/Spark; visualization) aspects of these problems, in addition to creating working interfaces with real cyber-physical systems and the ambient world of data, signals and control.

!!!! This thrust currently involves over 30 graduate students within WNCG. The faculty members listed above also supervise several students from other areas of ECE, as well as from other departments at UT such as Computer Sciences, Statistical and Data Sciences and Biomedical Engineering.

!!!! Recently alumni are working at companies such as Google, Yahoo, Qaualcomm, Facebook and Microsoft Research, and or have found faculty positions in top universities such as Illinois-Urbana (CS), Cornell (OR), Emory (CS), Minnesota (CS)  ADD MORE.

! The WNCG initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, and their application to solving complex engineering problems that involve the modeling and analysis of complex networks, both social and physical, heterogeneous and complex EHR and other health data, distributed sensor data from intelligent transportation systems, etc.Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational (Hadoop/Spark; visualization) aspects of these problems, in addition to creating working interfaces with real cyber-physical systems and the ambient world of data, signals and control.

!! This thrust currently involves over 30 graduate students within WNCG. The faculty members listed above also supervise several students from other areas of ECE, as well as from other departments at UT such as Computer Sciences, Statistical and Data Sciences and Biomedical Engineering.

!! Recently alumni are working at companies such as Google, Yahoo, Qaualcomm, Facebook and Microsoft Research, and or have found faculty positions in top universities such as Illinois-Urbana (CS), Cornell (OR), Emory (CS), Minnesota (CS)  ADD MORE.

! Welcome!

< some short blurb >

[Link to] Faculty
    < will contain a list of relev faculty and their photos >

[Link to] Projects
    < will contain short descriptions, with pictures, of projects from each of us >

[Link to] Classes
    <  will contain a list of relevant classes, possibly with descriptions >

[Link to] Students, Postdocs and Alumni
    < current and updated lists of students and alums >

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