wiki:Other/Summer/2023/OH2023

2023 Summer Research Program Open House

The 2023 WINLAB Summer Internship Open House took place on Thursday August 10th, 2023, offering a platform for students to present the results of their dedicated efforts over the past 10 weeks.

A total of 79 students participated in the program, comprising 8 graduate students, 52 undergraduate students, and 19 high school students. These aspiring researchers showcased a diverse range of projects, providing insights into the program's extensive reach and impact.

The event was not only an opportunity for the students to exhibit their hard work but also a chance for attendees to engage in meaningful discussions about the projects. The open dialogue fostered a constructive exchange of ideas and perspectives.

The success of the Summer Internship Program wouldn't have been possible without the generous support of the NSF REU program and a donation from nVerses Capital and AT&T. Their contributions played a crucial role in empowering these young minds to explore, innovate, and develop valuable skills.


Poster Project Presentation
Distributed Data Infrastructure
Anna KotelnikovUG, Keshav SubramaniyamUG, Jason Zhiyuan ZhangUG, Gyana Deepika DasaraGR, Samyak AgarwalGR

(PDF)

(PDF ) (Presentation Recording )
Evaluating 5G/NextG Wireless
Aleksa SamardzijaUG, Jeff AcevedoUG, Nikhil SampathUG, Sreeram MandavaUG, Stanislav CemanUG, Sanskar Jagdish ShahGR, Ryan LinUG, Steve ShinUG, Xoua ThaoUG

(PDF)

(PDF ) (Presentation Recording )
Security in Artificial Intelligence
Damon LinUG, Jacob MorinUG, Rut MehtaUG, Ethan LungHS

(PDF)

(PDF ) (Presentation Recording )
Robotic Iot SmartSpace Testbed
Katrina CelarioUG, Matthew GrimalovskyUG, Jeremy HuiUG, Julia RodriguezUG, Michael CaiHS, Laura LiuHS, Jose RubioHS, Sonya Yuan SunGR, Hedaya WalterGR

(PDF)

(PDF ) (Presentation Recording )
Developing and Testing Vehicular AI Agent
Aditya Kaushik JonnavittulaGR, Eddie WardUG, Romany EbrhemUG, William ChingUG, Donald YubeatonUG, Vibodh SinghUG, Haejin SongUG

(PDF)

(PDF ) (Presentation Recording )
Smart Intersection Cameras
Heneil PatelUG, Peter WilmotUG, Eleonore PichonUG

(PDF)

(PDF ) (Presentation Recording )
Resilient Edge-cloud Autonomous Learning with Timely Inferences
Haider AbdelrahmanUG, Yunhyuk ChangUG, Lakshya GourUG, Tanushree MehtaUG, Shreya VenugopalGR

(PDF)

(PDF ) (Presentation Recording )
Identifying Correlations between Weather Patterns and NYCMesh Network State
Zachary HineUG, Dror JacobyGR and Shuyue YuGR
No image "P08.jpg" attached to Other/Summer/2023/OH2023
(PDF)

(PDF ) (Presentation Recording )
28 GHz mmWave Measurements for Joint Communications and Sensing
David ChenHS and Timothy WangUG

(PDF)

(PDF ) (Presentation Recording )
Self-Driving Vehicular Project
Adarsh NarayananUG, Brandon ChengUG, Christopher SawickiUG, Joshua MenezesUG, Ruben AliasUG, Tommy ChuUG, Aleicia ZhuHS, Ranvith AdullaHS, Arya ChhabraHS, Suhani SenguptaHS

(PDF)

(PDF)

(PDF ) (Presentation Recording )
AR Mural
Alexander ClarkeUG, Arya ShettyUG, Nicholas ClarkeUG, Pavan datta Vedire ReddyUG, Ana ObradovicHS

(PDF)

(PDF ) (Presentation Recording )
Hive Monitoring
Sarah BenedictoUG, Tate SparksUG, Evan KohutUG, Shrinidhi KesavanUG, Sonia MalhotraHS, Ben YuHS, Andrew MartinHS

(PDF)

(PDF ) (Presentation Recording )
Neural Networks for Feature Analysis
Mayank BaradUG, Daksh KhetarpaulUG, Katherine LewUG

(PDF)

(PDF ) (Presentation Recording )
First Person View Self Driving Car
Adam StrubHS, Divya KrishnaHS, Elliot LiHS, Mei Mei CastranovaHS

(PDF)

(PDF ) (Presentation Recording )
Low Latency Camera
Brayden CasarenUG, Sebastian Bradley ClarkeUG, Rohit KarthickeyanHS, Ayush IyerHS

(PDF)

(PDF ) (Presentation Recording )

Notes

  • GR - Graduate student
  • UG - Undergraduate student
  • HS - High School student
Last modified 14 months ago Last modified on Aug 14, 2023, 6:58:27 PM

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