G. Rathinavel, N. Muralidhar, N. Ramakrishnan and T. O’Shea, “Efficient Generative Wireless Anomaly Detection for Next Generation Networks,” MILCOM 2022 – 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 594-599, doi: 10.1109/MILCOM55135.2022.10017520.

Debanjan Datta, Feng Chen, Naren Ramakrishnan: Framing Algorithmic Recourse for Anomaly Detection. KDD 2022: 283-293

G. Rathinavel, N. Muralidhar, T. O’Shea and N. Ramakrishnan, “Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback,” 2022 IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, 2022, pp. 1161-1166, doi: 10.1109/ICDM54844.2022.00148.    

Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan: Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. ACL (1) 2023: 6178-6191

Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu: Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI 2023: 15912-15920

Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, Naren Ramakrishnan: Redistrict: Designing a Self-Serve Interactive Boundary Optimization System. Conference on Designing Interactive Systems (Companion Volume) 2023: 284-287

Virginia Tech’s new Data and Decision Sciences Building has opened its doors to students, faculty, staff, and industry professionals ready to tackle some of the world’s most pressing data challenges. Completed in the summer, the 120,000-gross-square-foot facility houses multiple colleges including the Pamplin College of Business, College of Engineering, and College of Science. Several faculty from the Department of […]