Center for Undergraduate Research in Viterbi Engineering (CURVE) Fellowship
Symposium
2022 Viterbi Undergraduate Symposium
Friday, April 29
11:00 am – 4:00 pm
Epstein Family Engineering Plaza
The Viterbi Undergraduate Symposium provides Viterbi undergraduate students the opportunity to showcase their research and significant works to faculty, staff, students, and industry partners. Presented works may come from senior design capstone courses, honors thesis/projects, student design teams, and research conducted under faculty supervision (e.g. CURVE). Students will present their projects in person throughout the day.
More information at https://vitundergrad.wpenginepowered.com/symposium/
Winners of the 2021 Symposium
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Class of 2023 Research Department: BME Lab: Applegate, Brian- Signal Processing for Optical Coherence Tomography Imaging of the Ear Poster Title: Algorithm to Segment B-scan Images of the Mouse Cochlea |
Class of 2023 Research Department: Gerontology Lab: Irimia, Andrei- Brain MRI analysis, connectomics and machine learning for neuroscience knowledge discovery Poster Title: Comparison of Fractional Anisotropy Along White Matter Connections in Health vs Mild Traumatic Brain Injury |
Class of 2023 Research Department: ECE Lab: Bogdan, Paul- Covid-19 misinformation, SARS-CoV-2 viral analysis, complex networks, machine learning and artificial intelligence Poster Title: A Network Approach to Misinformation Dissemination in News Articles and Tweets |
Class of 2022 Research Department: ECE Lab: Nuzzo, Pierluigi- Self-Driving Vehicle Testbed Poster Title: Efficiency Evaluation of RL Training Models in Quadcopter Attitude Control |
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Class of 2022 Research Department: AME Lab: McArthur, John- Value function maximization for waypoint placement Poster Title: Intelligent Waypoint Placement for Aircrafts |
Class of 2024 Research Department: AME Lab: Spedding, Geoffrey- Virtual Experiments on Low Reynolds Number Wings Poster Title: Creating Steady Flow Over Airfoils using Cheaper Wind Tunnel Alternatives |
Class of 2022 Research Department: Computer Science Lab: Koenig, Sven- Multi-Agent Path Planning Poster Title: ML-Guided Prioritized Planning for Multi-Agent Path Finding |
Class of 2023 Research Department: Computer Science Lab: Ren, Xiang- Post-hoc Explanation Demo for Deep Learning Models in Natural Language Processing Poster Title: How Well Can a Machine Learning Model Do with Continuous Stream of Real Text Data from Various Years? |
Vy Ho
Jessica Zhu
Hannah Rose
Yifan Xue
Mohammad Khan
Jude Sorkin
Shuyang Zhang
Wardah Jabeen