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Dr. F. Patricia Medina Receives Funding for AI Research

Dr. F. Patricia Medina, assistant professor of computer science at Yeshiva College, recently received two significant grants related to the study of artificial intelligence (AI). The first, for $15,000, came from Google, through the company’s Explore Computer Science Research (exploreCSR) program. Co-awarded to Dr. Medina and Dr. Jenny Li (Kean University), grant will support three faculty mentors and students from different universities in conducting AI research in the spring and summer 2021. Dr. Medina is currently mentoring and funding one student to research recommender systems for health data. An additional YU student will be funded on this grant in the future. Through this grant, Dr. Medina and her students will be working closely with Dr. Walid Krichene, a mentor from Google Research. Also as part of this grant, Dr. Medina and Dr. Li will host a workshop in Spring 2021 and develop a sustainment plan that will build student self-efficacy, sense of belonging, practical skills and motivation to pursue computing research. Students will engage in activities to foster a research culture, grow students’ professional capital and networks, and provide holistic advising. At the workshop, the mentor from Google Research will give a presentation to students on recommender systems. Students doing a data science capstone project in Spring 2021 will be engaged in course modules related to the Google-funded project. The experience that the students will gain from participating in this research will support them in any professional path, whether in industry after graduation or into a graduate program. The second grant, for $15,750, comes from the Center for Undergraduate Research in Mathematics for the 2021-2022 academic year. She is expecting to fund three undergraduate students to do research in mathematics for machine learning. Students will be working on applications of machine learning to the sciences such as the classification of LiDAR 3D point clouds. The grant will also support students with travel expenses associated with conferences. “LiDAR plays a key role in many important applications such as self-driving cars and understanding the impact of climate change,” said Dr. Medina. “Modern machine learning techniques can enhance the capabilities of current LiDAR systems by leveraging appropriate post-processing techniques. In our work, we study the mathematical underpinning of such algorithms to extend current capabilities to go from a low-resolution 3d LiDAR point cloud to a high-resolution version of the cloud.” Dr. Medina and the students involved in this project—Ezra Splaver, Tony Arriaza, Myles Tyberg and Yudi Melzer (2020)—have been working with two collaborators from Worcester Polytechnic Institute: Dr. Randy Paffenroth, a full professor in mathematics and computers science in the data science program and Yingnan Liu, a Ph.D. student in the data science program.