The Intelligent NextG Cellular Networks and Applications Lab will host a workshop on May 27, 2022, with several prominent speakers. This workshop is open to the TAMU community and it will focus on fundamental and applied research into machine learning for NextG cellular networks and applications, supported over mobile, edge and cloud computing resources. Future wireless infrastructures can be viewed as application scenarios for data science, through their design and operation, as well as an enabling technology for pervasive mobile computing. This reality is reflected through the breath of expertise of speakers and participants. The tentative schedule appears below.

Location

The workshop will be held in 232 WEB, the Wisenbaker Engineering Building. This event is also hosted online through Zoom, with passcode disseminated through email.

Registration

Please, register for the workshop in advance.

Schedule

8:30 AM – Coffee and Welcome to Thematic Workshop on Data and Wireless

  • Jean-Francois Chamberland
  • Srinivas Shakkottai
  • Nick Duffield

9:00 AM – Wireless, Statistical Methods, and Data

  • Lijun Qian
  • Joseph Boutros (virtual)
  • Debdeep Pati (virtual)
  • Xiaoning Qian (virtual)

10:15 AM – Systems, Applications, and Learning

  • Alex Sprintson (virtual)
  • P.R. Kumar (virtual)
  • Dileep Kalathil
  • Srikanth Saripalli

11:30 AM – Wireless Access, Enabling Technologies, and Experimentation

  • Krishna Narayanan
  • Linda Katehi (virtual)
  • Sebastian Hoyos (virtual)
  • Sabit Ekin (virtual)

12:30 PM – Lunch (provided for registered in-person participants)

1:30 PM – Informal Discussion on Data Science, Wireless Systems, and Educational Opportunities

  • Moderator: Krishna Narayanan