wiki:Other/Summer/2020

Version 13 (modified by seskar, 4 years ago) ( diff )

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2020 Summer Internship Projects

  1. Adversarial Machine Learning Against Voice Assistant Systems
  2. Adversarial Sensor Attacks on LiDAR-based Cooperative Perception in …
  3. Investigating the Biological Impacts of Radio Spectrum Transmissions
  4. Using FPGAs for Accelerating Machine Learning Applications
  5. Using FPGAs for Spectrum Sensing and Modulation Recognition
  6. Smart Intersection Simulation
  7. Using Machine Learning for IoT
  8. MobilityFirst Next Generation Internet Protocol Implementation
  9. 2020 Summer Research Program Virtual Open House
  10. Real-time machine learning-based user authentication via daily …
  11. ROS Based Self Driving Platform Development
  12. Smart Intersection - daily traffic flow
  13. Analyzing Social Distancing Based on Sensory Inputs
  14. Intelligent UWB Network

2020 WINLAB Summer Internship

Weekly presentations: Thursday at 2:00 PM

Projects

Project Participants Group Weekly Meeting
Adversarial Machine Learning Against Voice Assistant Systems Sachin J MathewUG, David LauUG, Saurabh BansalUG, Rishika SakhujaUG, Bhargav SingarajuUG, Celina ZhouUG Monday 3:30
Adversarial Sensor Attacks on LiDAR-based Cooperative Perception in Autonomous Driving Environments Monday 3:30
Real-time machine learning-based user authentication via daily activities using wireless signals Monday 3:30
Investigating the Biological Impacts of Radio Spectrum Transmissions Murtadha AldeerGR, Zhenzhou QiUG, Monday 3:30
Using FPGAs for Spectrum Sensing and Modulation Recognition Zhuohuan LiUG, Ryan DavisUG, Siddarth MandayamUG, Monday 3:30
Intersection Simulation William Patrick YubeatonUG, Allen ChangUG, Mark Ryan StanikUG, Monday 3:30
Using FPGAs for Machine Learning Acceleration Michael YakubovUG, Milos SeskarUG, Monday 3:30
Self Driving Shounak RangwalaGR, Victor Abril-SanchezUG, Nathan YuUG Monday 3:30
Smart Intersection Naveen Narayanan MeyyappanGR, Bryan ZhuUG, Kevin ZhangUG, Nicholas MeeganUG, Monday 3:30
Using Machine Learning for IoT Qizhen DingUG, Abdualrahman AllanUG, Monday 3:30
Social Distancing Emmanuel MalyarovichUG, Kuhu HalderUG, Monday 3:30
MobilityFirst Naga Venkata Vihari VinnakotaGR Tuesday 4:30
Intelligent UWB Network Sanyam JainGR Monday 3:30

Notes

  • GR - Graduate student
  • UG - Undergraduate student
  • HS - High School student
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