CRA Outstanding Undergraduate Researcher Award Nominees
These students were nominated by the Tufts Department of Computer Science faculty for the 2023 Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award. CRA is one of the leading professional organizations in computer science, and we congratulate all of our nominees for their contributions to research in this field. You can see more about these international awards on the CRA website here.
Victoria Chen, A23, major in computer science
Under the direction of Assistant Professor Jivko Sinapov in the Multimodal Learning, Interaction, and Perception Lab (MuLIP Lab), Victoria Chen’s work focuses on leveraging augmented reality (AR) to improve human-robot interaction and collaboration. Mobile service robots generate a variety of data, including perceptual data (e.g., LIDAR readings) and cognitive data (e.g., the robot’s motion plan) which is typically hidden from the user. Chen designs and evaluates data visualization methods with the aim of enabling users to attain a more accurate mental model of how a robot operates in the context of education and human-robot collaboration. Chen was nominated for the 2023 CRA Award and received honorable mention.
Madeline McLaughlin, A23, major in computer science
Madeline McLaughlin works in the Tufts’ Security and Privacy Lab (TSP) led by Lin Family Assistant Professor Dan Votipka. McLaughlin focuses on usable security, specifically as it relates to reverse engineering and healthcare security. McLaughlin has worked on two studies, the first of which was titled, “A Qualitative Evaluation of Reverse Engineering Tools,” and focuses on evaluating the usability of reverse engineering tools. The second project encompasses several in-progress studies surrounding healthcare security, focusing specifically on the secure design process for medical devices. Additionally, McLaughlin works in MIT Lincoln Laboratory’s Cyber System Assessments group on reverse engineering internet of things (IoT) devices.
Mary-Joy Sidhom, A23, major in computer science
Mary-Joy Sidhom is motivated to do work that can use probabilistic machine learning to improve the quality and efficiency of medical care for sick patients. Since the summer of 2022, she has worked with Assistant Professor Michael Hughes’ lab to develop machine learning tools that can automate the interpretation of ultrasound images of the heart and ultimately make detection of heart valve disease more reliable and portable.
Sidhom’s early work assessed the transportability of machine learning tools for echocardiography. Sidhom helped create a public benchmark called Heart2Heart for researchers to assess whether models using data from one country would have comparable performance in other countries. Her co-authored paper was accepted at the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), and she will present her work in Valencia, Spain in April 2023. In her honors thesis project, Sidhom is building machine learning tools to analyze Doppler ultrasound images. Doppler images help doctors measure blood flow over time. She explores how to use these images to automatically diagnose valve diseases.
Past CRA nominees:
Jonathan Conroy - Honorable Mention
Derek Egolf - Honorable Mention
Lauren Labell - Honorable Mention
Jonathan Rodriguez - Finalist
Gian Marco Visani - Honorable Mention
Samuel Shaw – Finalist
Amel Hassan – Honorable Mention
Oliver Korten – Honorable Mention
Faizan Muhammad – Honorable Mention
Marilyn Sun - Honorable Mention
Sarah Hall-Swan – Runner Up
Yisu Remy Wang – Finalist
Jennifer Hammelman – Honorable Mention (Female)
Tara Kola – Honorable Mention (Female)
Thomas Schaffner – Honorable Mention (Male)
Gregory Bodwin – Honorable Mention (Male)
Max Smiley – Honorable Mention (Male)
Sarah Cannon – Female Awardee
Constantin Berzin – Honorable Mention (Male)
Connor Gramazio – Honorable Mention (Male)
Mark D. Leiserson – Male Runner-Up
Sarah Cannon – Honorable Mention (Female)
Sean Kelley – Honorable Mention (Male)
Jessie Berlin – Honorable Mention (Female)
Adam Raczkowski – Honorable Mention (Male)
Kathryn Seyboth – Finalist (Female)
John Hugg – Honorable Mention (Male)