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Rafael J. Fernández-Moctezuma. 3 rd year Ph.D. Student in Computer Science Areas of Interest Data Stream Management Systems Intelligent Transportation Systems Thesis Topic: Inter-operator feedback, bounded execution guarantees. Data Stream Management Systems.
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Rafael J. Fernández-Moctezuma • 3rd year Ph.D. Student in Computer Science • Areas of Interest • Data Stream Management Systems • Intelligent Transportation Systems • Thesis Topic: Inter-operator feedback, bounded execution guarantees Rafael J. Fernández-Moctezuma
Data Stream Management Systems • Deal efficiently with high-volumes of incoming data • Traffic Data CS theory • Inter-Operator Feedback • Guarantees on Bounded Stream Query Execution Work with Prof. Maier, and Prof. Tufte PACE IMPUTE σC σ¬C DUPLICATE Rafael J. Fernández-Moctezuma (b) Localized Adaptation (a) Centralized Adaptation
On-Line Imputation Strategies • Big picture: Adapt to incoming data characteristics to perform near real-time imputation • Looked at diverse strategies, not all amicable for low latency processing • Spatial and Temporal models, some heuristic, some statistical. Work with Prof. Bertini, Prof. Maier, and Prof. Tufte Rafael J. Fernández-Moctezuma
Bottleneck Identification • Work toward automatic bottleneck detection • “Living history” of Portland Bottlenecks • Can process one year of data per corridor in one day (commodity PC) Work with Prof. Bertini, JerzyWieczorek, Huan Li Rafael J. Fernández-Moctezuma
Optimal Sensor Placement • Where do we position loop detectors to better operate the freeway infrastructure? • Challenges: What’s “better”? Optimal ramp metering? Better travel time estimations? Early bottleneck detection? • Recently focused on Linear Programming approach for early bottleneck detection Work with Prof. Figliozzi, Prof. Bertini Rafael J. Fernández-Moctezuma