Recent:

• Aparajita HaldarLink opens in a new window defended her PhD thesis, "Hypergraph-based Optimisations for Scalable Graph Analytics and Learning", congrats Aparajita!
• Detecting spread, sentinel and susceptible nodes in temporal networksLink opens in a new window, ACM Transactions on Spatial Algorithms and Systems '23
• Scaling graph neural networksLink opens in a new window, PVLDB '22 (presentation in VLDB '23)
• Congratulations to Teddy CunninghamLink opens in a new window who defended his PhD thesis titled "Generating and Sharing Differentially Private Spatio-Temporal Data Using Real-World Knowledge"
• Fair recourse-aware rankingLink opens in a new window, ACM CIKM '22
• Faculty of Science, Engineering and Medicine Post-Doctoral Research Prize (2022)Link opens in a new window to Gunduz Demirci, congratulations!
• Private spatio-temporal trajectory sharingLink opens in a new window with local differential privacy, VLDB '21
• Spatio-temporal quantizationLink opens in a new window for compressed storage and querying of large datasets, VLDB '21
• Synthetic spatial data generationLink opens in a new window with differential privacy, SSTD '21
• Distinguished PC at ACM SIGMOD '21Link opens in a new window
• Scaling deep learning training and inferenceLink opens in a new window via model-wise distributed memory parallelism and hypergraph partitioning, ACM ICS '21
• Scaling similarity ranking on large graphsLink opens in a new window, World Wide Web '21
• Project on spatio-temporal graph analytics, with WMCA and ADEPT Live Labs; post-doctoral researcher position
• Best CS dissertation award to Sean Hooker for his work on sparsification and quantization of deep neural networks
• Project on spatio-temporal ML, with TfWM, Immense Simulations, one.network, blacc, and O2
• Spatio-temporal forecastingLink opens in a new window via graph ML, ACM IMWUT '20
• Scalable linkageLink opens in a new window for large-scale spatio-temporal databases, ACM SIGMOD '20

BiographyLink opens in a new window

Scalable Data Systems and Analytics

• Scalable Graph Convolutional Network Training on Distributed-Memory SystemsLink opens in a new window

• Partitioning Sparse Deep Neural Networks for Scalable Training and InferenceLink opens in a new window
• RoleSim*: Scaling Axiomatic Role-based Similarity Ranking on Large GraphsLink opens in a new window
• SLIM: Scalable Linkage of Mobility DataLink opens in a new window
• Cascade-aware Partitioning of Large Graph DatabasesLink opens in a new window
• Distributed Block Formation and Layout for Disk-based Management of Large-Scale GraphsLink opens in a new window
• Topic-Based Influence Computation in Social Networks under Resource ConstraintsLink opens in a new window
• VISIR: Visual and Semantic Image Label RefinementLink opens in a new window
• Scaling Forecasting Algorithms using Clustered ModelingLink opens in a new window
• ALACA: A Platform for Dynamic Alarm Collection and Alert Notification in Network Management SystemsLink opens in a new window
• Learning to Un-rank: Quantifying Search Exposure for Users in Online CommunitiesLink opens in a new window
• Aggregate Profile Clustering for Telco AnalyticsLink opens in a new window
• Temporal Workload-Aware Replicated Partitioning for Social NetworksLink opens in a new window
• λ-diverse Nearest Neighbors Browsing for Multi-dimensional dataLink opens in a new window
• S3-TM: Scalable Streaming Short Text MatchingLink opens in a new window

Spatial-Temporal Data Management

• Temporal Cascade Model for Analyzing Spread in Evolving NetworksLink opens in a new window

• Real-World Trajectory Sharing with Local Differential PrivacyLink opens in a new window
• Privacy-Preserving Synthetic Location Data in the Real WorldLink opens in a new window
• PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory RepositoriesLink opens in a new window
• Collective Shortest Paths for Minimizing Congestion on Temporal Load-aware Road NetworksLink opens in a new window
• Spatio-Temporal Linkage over Location-Enhanced ServicesLink opens in a new window
• Fair Task Allocation in Crowdsourced DeliveryLink opens in a new window
• Privacy-Preserving Aggregate Queries for Optimal Location SelectionLink opens in a new window
• D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing SystemsLink opens in a new window
• Diverse Relevance Feedback for Time Series with Autoencoder Based SummarizationsLink opens in a new window
• Predicting Optimal Facility Location Without Customer LocationsLink opens in a new window
• Generating Time-Varying Road Network Data Using Sparse TrajectoriesLink opens in a new window
• Multi-Vehicle Route Planning for Efficient Urban Freight TransportLink opens in a new window
• Div-BLAST: Diversification of Sequence Search ResultsLink opens in a new window
• LineKing: Coffee Shop Wait-Time Monitoring Using SmartphonesLink opens in a new window
• Diversity based Relevance Feedback for Time Series SearchLink opens in a new window