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.
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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.
¶ ¶ Distributed Data InfrastructureAnna Kotelnikov (UG), Keshav Subramaniyam (UG), Jason Zhiyuan Zhang (UG), Gyana Deepika Dasara (GR), Samyak Agarwal (GR) | |
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¶ ¶ Evaluating 5G/NextG WirelessAleksa Samardzija (UG), Jeff Acevedo (UG), Nikhil Sampath (UG), Sreeram Mandava (UG), Stanislav Ceman (UG), Sanskar Jagdish Shah (GR), Ryan Lin (UG), Steve Shin (UG), Xoua Thao (UG) | |
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¶ ¶ Security in Artificial IntelligenceDamon Lin (UG), Jacob Morin (UG), Rut Mehta (UG), Ethan Lung (HS) | |
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¶ ¶ Robotic Iot SmartSpace TestbedKatrina Celario (UG), Matthew Grimalovsky (UG), Jeremy Hui (UG), Julia Rodriguez (UG), Michael Cai (HS), Laura Liu (HS), Jose Rubio (HS), Sonya Yuan Sun (GR), Hedaya Walter (GR) | |
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¶ ¶ Developing and Testing Vehicular AI AgentAditya Kaushik Jonnavittula (GR), Eddie Ward (UG), Romany Ebrhem (UG), William Ching (UG), Donald Yubeaton (UG), Vibodh Singh (UG), Haejin Song (UG) | |
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¶ ¶ Smart Intersection CamerasHeneil Patel (UG), Peter Wilmot (UG), Eleonore Pichon (UG) | |
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¶ ¶ Resilient Edge-cloud Autonomous Learning with Timely InferencesHaider Abdelrahman (UG), Yunhyuk Chang (UG), Lakshya Gour (UG), Tanushree Mehta (UG), Shreya Venugopal (GR) | |
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¶ ¶ Identifying Correlations between Weather Patterns and NYCMesh Network StateZachary Hine (UG), Dror Jacoby (GR) and Shuyue Yu (GR) | |
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¶ ¶ 28 GHz mmWave Measurements for Joint Communications and SensingDavid Chen (HS) and Timothy Wang (UG) | |
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¶ ¶ Self-Driving Vehicular ProjectAdarsh Narayanan (UG), Brandon Cheng (UG), Christopher Sawicki (UG), Joshua Menezes (UG), Ruben Alias (UG), Tommy Chu (UG), Aleicia Zhu (HS), Ranvith Adulla (HS), Arya Chhabra (HS), Suhani Sengupta (HS) | |
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¶ ¶ AR MuralAlexander Clarke (UG), Arya Shetty (UG), Nicholas Clarke (UG), Pavan datta Vedire Reddy (UG), Ana Obradovic (HS) | |
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¶ ¶ Hive MonitoringSarah Benedicto (UG), Tate Sparks (UG), Evan Kohut (UG), Shrinidhi Kesavan (UG), Sonia Malhotra (HS), Ben Yu (HS), Andrew Martin (HS) | |
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¶ ¶ Neural Networks for Feature AnalysisMayank Barad (UG), Daksh Khetarpaul (UG), Katherine Lew (UG) | |
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¶ ¶ First Person View Self Driving CarAdam Strub (HS), Divya Krishna (HS), Elliot Li (HS), Mei Mei Castranova (HS) | |
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¶ ¶ Low Latency CameraBrayden Casaren (UG), Sebastian Bradley Clarke (UG), Rohit Karthickeyan (HS), Ayush Iyer (HS) | |
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