2021 WINLAB Summer Internship

Summer Internship Virtual Open House is scheduled for August 6th 2021.

Weekly presentations: Thursday at 2:00 PM

Projects

Project	Participants	Group Weekly Meeting
Mobile User Authentication via Deep Learning	Aditi SatishGR, Daniel LiuUG, Sharad PrasadUG, Emily GaoHS
Quantifying the Transformation of Information to Energy	Katherine MoreiraUG, Yunhyuk ChangUG, Eric ZhuHS
Tracking bee movements with machine learning	Joel PaleyUG, Justin YuUG, Arnesh Kumar IssarUG, Jack BessenUG
COSMOS mmWave Experimentation	Kaya ÇelebiUD
Smart City Traffic Simulator	Afreen FatimaUG, Sebastian TeslicUG, Mohammed Awais ZubairUG, Sheza BajwaHS, Ana ObradovicHS
Real-time machine learning on the embedded devices	Nelusha DiasUG, David BanyaminUG
Distributed spectrum sensing and channel assignment	Zhile LiGR, Samuel SaylesUG
Self-Driving Vehicular Project	Zhuohuan LiGR, Anthony SiuUG, Abia MallickUG, Sandeep AlankarUG, Malav MajmudarUG, Adas BankauskasUG, Lohith BodipatiHS, Rohan VijHS	Monday 2:00
High speed training using binary neural networks	Sachin J. MathewUG, Daniel ChenUG, Daniel MaevskyUG, Thomas ForzaniUG
FPGA implementation of object detection	Vatsal PatelUG, Vrishin PatelUG, Aayushi KaseraUG, Shivansh PatelUG, Shivam PatelUG
Analyzing Social Distancing Based on Sensory Inputs	Taqiya EhsanUG, Aryan DoshiUG, Maya ShankarUG, Sonia BathejaHS
Using Machine Learning for IoT	Nandana PaiUG
Characterizing 5G Leakage on Passive Weather Sensing Spectrum Bands	Noam HirschornUG
COSMOS Coverage and Channel Sounding Measurements	Sienna BrentUG, Gulnur AvciUG

Notes

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