Presentations and Posters

Machine Learning for Traffic Behavior Analysisin Smart Cities
Augmented Reality Visualization of Proteins
ORBIT Emulation and Machine Learning for Enabling 5G and Satellite Network Coexistence in FR3 Spectrum
5G Edge Cloud Application
Developing an LLM-Based System Architecture for Semantic Understanding in Smart Spaces
Real-time, Robust and Reliable (R^3) Machine Learning Over Wireless Networks
Remotely Piloted Vehicles
AI for Behavioral Discovery
Privacy Leakage Study and Protection for Virtual Reality Devices
Multistatic RFID Interrogation & Localization with COSMOS/ORBIT
AR Mural
Plant Doctor/Magic Room
Self-Driving Vehicular Project
Virtual Reality Visualization for Underwater UAVs
Data Center Infrastructure Management
Programmable Metamaterial Antenna for Physical Layer Security
mmWave Channel Analysis Campaign
Breadboard Computer
Low Probability Detection of Signals
Signal Avoidance using 5G
INDIGO (Intelligent Networks Designed and Integrated for Globalized Operations)
Channel Measurement

The 2024 WINLAB Summer Internship Open House was held on Wednesday, August 7th, 2024, providing a platform for students to showcase the outcomes of their hard work over the past 10 weeks. This year, 70 students participated, including 4 graduate students, 41 undergraduates, and 25 high school students. Their diverse projects highlighted the program’s broad impact and reach. The event encouraged meaningful discussions and exchanges of ideas.

The success of the program was made possible by the generous support of the ​NSF REU program and a donation from ​nVerses Capital, ​Verizon, ​AT&T and ​Rutgers. Their contributions played a crucial role in empowering these young minds to explore, innovate, and develop valuable skills.

Poster		Project Presentation
Machine Learning for Traffic Behavior Analysis in Smart Cities Haejin SongUG, Dominic CatenaUG
(PDF)		(PDF ) (​Presentation Recording )

Augmented Reality Visualization of Proteins Alexander KimUG, Samhitha SangarajuUG, Vir VaidyaUG
(PDF)		(PDF ) (​Presentation Recording )

ORBIT Emulation and Machine Learning for Enabling 5G and Satellite Network Coexistence in FR3 Spectrum Christos Anastasios BovolisUG, Aadhil AnvarGR, Aman GrandhiUG, Parth KarekarUG
(PDF)		(PDF ) (​Presentation Recording )

5G Edge Cloud Application Vineal SunkaraUG, Damon LinUG, Ji WuUG, Matthew ArigoUG, Steven NguyenUG
(PDF)		(PDF ) (​Presentation Recording )

Developing an LLM-Based System Architecture for Semantic Understanding in Smart Spaces Sathvik SamantHS, Johnathan DuranHS, Jose RubioHS, Vedant TalatiHS
(PDF)		(PDF ) (​Presentation Recording )

Real-time, robust, and reliable (R^3) machine learning over wireless networks Akshar VedanthamUG, Kirthana RamUG, Varun KotaUG
(PDF)		(PDF ) (​Presentation Recording )

Remotely Piloted Vehicles Daniel MahanyHS, Dhruv RamaswamyHS, Nandini VenkateshHS
(PDF)		(PDF ) (​Presentation Recording )

AI for behavioral discovery Adarsh NarayananUG, Benjamin YuUG, Elias XuHS, Shreyas MusukuHS
(PDF)		(PDF ) (​Presentation Recording )

Privacy Leakage Study and Protection for Virtual Reality Devices Dirk Catpo RiscoGR, Brody VallierHS, Emily YaoHS
(PDF)		(PDF ) (​Presentation Recording )

Multistatic RFID interrogation & localization with Cosmos/Orbit Dimitrios AngelouUG
(PDF)		(PDF ) (​Presentation Recording )

AR Mural Jovana LekicUG, Nima FallahUG, Nishi AgrawalHS, Suhani SenguptaHS, Sachin KandanHS
(PDF)		(PDF ) (​Presentation Recording )
(PDF)

Plant Doctor/Magic Room Sam-Fone CheungGR, Shriya DasUG, XiangUG, Aly MustafaUG
(PDF)		(PDF ) (​Presentation Recording )
(PDF)

Self-Driving Vehicular Project Aaron CruzUG, Arya ShettyUG, Brandon ChengUG, Tommy ChuUG, Erik NießenHS, Siddarth MalhotraHS
(PDF)		(PDF ) (​Presentation Recording )

Virtual Reality Visualization for Underwater UAVs Amanda LauUG, Catzby PaulUG, David ZhaoUG
(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )

INDIGO User Interface: Intelligent 5G Networks Designed and Integrated for Globalized Operations Riju DeyUG, Anya TrumbachUG
(PDF)		(PDF ) (​Presentation Recording )

(PDF)		(PDF ) (​Presentation Recording )