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2023 Summer Internship Projects
- 5G/NextG
- Vehicular AI Agent Development
- Smart Intersection Situational Awareness
- Distributed Data Infrastructure
- Neural Networks For Feature Analysis
- First-Person View Self-Driving Car
- Hive Monitoring
- Resilient Edge-Cloud Autonomous Learning with Timely inferences
- Low Latency Camera Feed Development
- Augmented Reality Mural
- 2023 Summer Research Program Open House
- Robotic IoT SmartSpace Testbed
- Security in Artificial Intelligence
- Self Driving Vehicular Project
2023 WINLAB Summer Internship
Summer Internship Open House is scheduled for August 10th 2023.
Weekly presentations: Thursday at 2:00 PM
Projects
Project | Participants | Group Weekly Meeting |
Distributed Data Infrastructure | Anna KotelnikovUG, Keshav SubramaniyamUG, Jason Zhiyuan ZhangUG, Gyana Deepika DasaraGR, Samyak AgarwalGR | TBD |
Security in Artificial Intelligence | Damon LinUG, Jacob MorinUG, Rut MehtaUG | Tue 11:30 AM |
Developing a Vehicular Agent | Aditya Kaushik JonnavittulaGR, Eddie WardUG, Romany EbrhemUG, William ChingUG | Mon 12:00 PM |
Smart Intersection Situational Awareness | Heneil PatelUG, Peter WilmotUG, Eleonore PichonUG | Thursday 12:00 PM |
Testing Vehicular AI Agents | Daksh KhetarpaulUG, Donald YubeatonUG, Vibodh SinghUG, Haejin SongUG | Mon 12:00 PM |
Robotic Iot SmartSpace Testbed | Jeremy HuiUG, Katrina CelarioUG | Mon 1:00 PM |
Self-Driving Vehicular Project | Adarsh NarayananUG, Brandon ChengUG, Christopher SawickiUG, Joshua MenezesUG, Ruben AliasUG, Tommy ChuUG, Aleicia ZhuHS, Ranvith AdullaHS | Wednesday 12:00pm |
Evaluating 5G/6G Wireless | Aleksa SamardzijaUG, Jeff AcevedoUG, Nikhil SampathUG, Sreeram MandavaUG, Stanislav CemanUG, Sanskar Jagdish ShahGR, Ryan LinUG | Monday 2:00pm |
AR Mural | Alexander ClarkeUG, Arya ShettyUG, Nicholas ClarkeUG, Pavan datta Vedire ReddyUG | Wednesday 12:30pm |
Low Latency Camera | Brayden CasarenUG, Sebastian Bradley ClarkeUG | Wed 12:00 PM |
Hive Monitoring | Sarah BenedictoUG, Tate SparksUG, Evan KohutUG | TBD |
Neural Networks for Feature Analysis | Mayank BaradUG, Katherine LewUG, Shrinidhi KesavanUG, Sonia MalhotraUG | TBD |
Resilient Edge-cloud Autonomous Learning with Timely Inferences | Haider AbdelrahmanUG, Yunhyuk ChangUG, Lakshya GourUG, Tanushree MehtaUG, Shreya VenugopalGR | Thursday 1:00pm - 2:00pm |
Notes
- GR - Graduate student
- UG - Undergraduate student
- HS - High School student
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