Hakan Ferhatosmanoglu

 

Recent:

• Congratulations to Joe Oakley who defended his PhD thesis on "Enhancing Serverless Architectures for Data-Intensive Workloads”

• D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural NetworksLink opens in a new window (codeLink opens in a new window on Apache Flink), with Rustam Guliyev and Aparajita Haldar, VLDB '24

• Fully Serverless Distributed Inference with Scalable Cloud CommunicationLink opens in a new window, with Joe OakleyLink opens in a new window, ICDE '24Link opens in a new window

• Serverless Spatio-temporal Traffic ForecastingLink opens in a new window, GeoInformatica '24
• Congratulations to Shuang Wang who defended her PhD thesis on "Learning-based Quantization for Graph Neural Networks and Spatio-Temporal Data Repositories"
• Congratulations to Chris Conlan who defended his PhD thesis on "Dynamic Spatio-Temporal Analytics for Measuring and Improving Accessibility in Cities"
• Aparajita presented our distributed GNNLink opens in a new window work in the Scalable ML sessionLink opens in a new window at VLDB in VancouverLink opens in a new window
• Congratulations to Teddy Cunningham for a Faculty of Science, Engineering, and Medicine PhD thesis prizeLink opens in a new window
• Low-bit quantization for graph neural networks;Link opens in a new window RustamLink opens in a new window presented the paper, at ACM CIKM '23 in BirminghamLink opens in a new window

• Spatio-temporal access queriesLink opens in a new window with applications to ML based urban accessibility analysisLink opens in a new window and healthcareLink opens in a new window

• Aparajita HaldarLink opens in a new window defended her PhD thesis, "Hypergraph-based Optimisations for Scalable Graph Analytics and Learning", congrats Aparajita!
• Real-time spatio-temporal forecastingLink opens in a new window, with a cloud-based software for TfWM
• 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, for his work on parallel and distributed neural networks. 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

• 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
• 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
• 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