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Efficient Generative Wireless Anomaly Detection for Next Generation Networks

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.

Framing Algorithmic Recourse for Anomaly Detection

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

Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback

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.    

Identifying geopolitical event precursors using attention-based LSTMs

Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency

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

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives

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

Redistrict: Designing a Self-Serve Interactive Boundary Optimization System

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

Memetic Algorithms for Spatial Partitioning Problems

TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

New Data and Decision Sciences Building encourages collaboration to address world’s data challenges

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 […]