2023 Summer Research Program Virtual Open House

In a vibrant display of innovation and collaboration, the 2023 WINLAB Summer Internship Open House unfolded on Thursday August 10th, 2023, becoming a remarkable platform for students to unveil their projects. The Open House not only showed the accomplishments of the interns but also provided them with the experience of presenting their work to a wider audience.

Presentations and Posters

Distributed Data Infrastructure
Evaluating 5G/6G Wireless
Security in Artificial Intelligence
Robotic Iot SmartSpace Testbed
Developing and Testing Vehicular AI Agents
Smart Intersection Situational Awareness
Resilient Edge-cloud Autonomous Learning with Timely Inferences
Correlations between Weather Patterns and NYCMesh Network State
mmWave Measurements for Joint Sensing and Communications
Self-Driving Vehicular Project
AR Mural
Hive Monitoring
Neural Networks for Feature Analysis
First Person View Self Driving Car
Low Latency Camera

Thursday, August 10th, 2023

Poster		Project Presentation
Distributed Data Infrastructure Anna KotelnikovUG, Keshav SubramaniyamUG, Jason Zhiyuan ZhangUG, Gyana Deepika DasaraGR, Samyak AgarwalGR
(PDF)		(PDF ) (​Presentation Recording )
Evaluating 5G/6G 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 Agents Aditya Kaushik JonnavittulaGR, Eddie WardUG, Romany EbrhemUG, William ChingUG, Donald YubeatonUG, Vibodh SinghUG, Haejin SongUG
(PDF)		(PDF ) (​Presentation Recording )
Smart Intersection Situational Awareness 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 Hine, Dror Jacoby and Shuyue Yu
(PDF)		(PDF ) (​Presentation Recording )
mmWave Measurements for Joint Sensing and Communications 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