Scaling HDFS with a Strongly Consistent Relational Model for Metadata. - Kamal Hakimzadeh; Hooman Peiro Sajjad; Jim Dowling (DAIS, 2014)

Smart partitioning of geo-distributed resources to improve cloud network performance. - Hooman Peiro Sajjad; Fatemeh Rahimian; Vladimir Vlassov (CloudNet, 2015)

Stream Processing in Community Network Clouds. - Ken Danniswara; Hooman Peiro Sajjad; Ahmad Al-Shishtawy; Vladimir Vlassov (FiCloud, 2015)

Boosting Vertex-Cut Partitioning for Streaming Graphs. - Hooman Peiro Sajjad; Amir Hossein Payberah; Fatemeh Rahimian; Vladimir Vlassov; Seif Haridi (BigData Congress, 2016)

SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers. - Hooman Peiro Sajjad; Ken Danniswara; Ahmad Al-Shishtawy; Vladimir Vlassov (SEC, 2016)

Reproducible Distributed Clusters with Mutable Containers: To Minimize Cost and Provisioning Time. - Hooman Peiro Sajjad; Kamal Hakimzadeh; Shelan Perera (HotConNet@SIGCOMM, 2017)

Optimizing Windowed Aggregation over Geo-Distributed Data Streams. - Hooman Peiro Sajjad; Ying Liu 008; Vladimir Vlassov (EDGE, 2018)

Efficient Representation Learning Using Random Walks for Dynamic Graphs. - Hooman Peiro Sajjad; Andrew Docherty; Yuriy Tyshetskiy (CoRR, 2019)

Methods and Algorithms for Data-Intensive Computing: Streams, Graphs, and Geo-Distribution. - Hooman Peiro Sajjad (2019)