Mathematics, Physical Sciences, and Engineering
Rosalind Agasti
University of Oklahoma
“Frequency-Gile Filtering Antennas for S-band and X-band Applications”
Rosalind Agasti received the B.S. degree in electrical engineering from the University of Massachusetts, Boston, in 2021 and the M.S. degree in electrical and computer engineering from the University of Oklahoma (OU), Norman, in 2023. She is currently a Ph.D. student and a graduate research assistant at the Advanced Radar Research Center (ARRC) at OU. Rosalind is a recipient of the Graduate Dean’s Distinguished Thesis Prize from OU. She was also awarded the IEEE Antennas and Propagation Society (AP-S) Doctoral Research Grant Award in 2023 and the IEEE MTT-S Graduate Fellowship in 2024. Her master’s thesis, “Frequency-agile Filtering Antennas for S-band and X-band Applications,” documents the design and implementation of novel reconfigurable and highly integrated RF and microwave devices for next-generation communication systems. Her research utilized conventional bandpass filter synthesis techniques to enhance the performance of tunable filter lenses for tightly integrated radio-frequency front ends (RFFEs). The thesis presents state-of-the-art reconfigurable filtering antennas, or filtennas, with frequency tuning at S-band (2-4 GHz) and X-band (8-12 GHz). Her current research focuses on extending the co-design concept to combine all the essential functionalities of an RFFE into a single unit. Mathematics, Physical Sciences, and Engineering Honorable Mention: Shusmoy Chowdhury, Missouri State University, “Optimal Cloud Datacenter Selection Using Evolutionary Algorithms”