معرفی
Fraida Fund is a Research Assistant Professor at the NYU Tandon School of Engineering, specializing in the Electrical and Computer Engineering Department. She is affiliated with the Center for Advanced Technology in Telecommunications (CATT) and NYU WIRELESS, which focus on 6G and mmWave technologies. Her research explores low-latency networking, congestion control, wireless systems, and reproducibility in computer science education. She teaches courses on machine learning systems, networking protocols, and computer engineering design.
Her work emphasizes practical applications of wireless and edge computing, particularly in agriculture and connected vehicles. Recent studies include evaluating latency in mmWave networks and analyzing the adoption of BBR and L4S congestion control protocols. Fund has contributed to open-source platforms like PrairieLearn for algorithmic question generation in education. She was recognized by AFAR for her academic achievements.
Fund’s research integrates economic analysis with engineering, such as modeling cellular infrastructure sharing and pricing strategies for video delivery. She actively uses public testbeds for reproducible experiments and advocates for improving reproducibility in computer science curricula. Her interdisciplinary approach bridges theoretical research with real-world deployment challenges in telecommunications.
