Parallel processing of "group-by join" queries on shared nothing machines. - Mohamad Al Hajj Hassan; Mostafa Bamha (ICSOFT (1), 2006)

An Optimal Evaluation of GroupBy-Join Queries in Distributed Architectures. - Mohamad Al Hajj Hassan; Mostafa Bamha (WEBIST (1), 2007)

Pipelined Parallelism in Multi-Join Queries on Heterogeneous Shared Nothing Architectures. - Mohamad Al Hajj Hassan; Mostafa Bamha (ICSOFT (PL/DPS/KE), 2008)

An Efficient Pipelined Parallel Join Algorithm on Heterogeneous Distributed Architectures. - Mohamad Al Hajj Hassan; Mostafa Bamha (ICSOFT (Selected Papers), 2008)

An efficient parallel algorithm for evaluating join queries on heterogeneous distributed systems. - Mohamad Al Hajj Hassan; Mostafa Bamha (HiPC, 2009)

Parallélisme et équilibrage de charges dans le traitement de la jointure sur des architectures distribuées. (Parallelism and load balancing in the treatment of the join on distributed architectures). - Mohamad Al Hajj Hassan (2009)

Semi-join computation on distributed file systems using map-reduce-merge model. - Mohamad Al Hajj Hassan; Mostafa Bamha (SAC, 2010)

Handling Data-skew Effects in Join Operations Using MapReduce. - Mohamad Al Hajj Hassan; Mostafa Bamha; Frédéric Loulergue (ICCS, 2014)

Towards Scalability and Data Skew Handling in GroupBy-Joins using MapReduce Model. - Mohamad Al Hajj Hassan; Mostafa Bamha (ICCS, 2015)

Handling Pregel's Limits in Big Graph Processing in the Presence of High-Degree Vertices. - Mohamad Al Hajj Hassan; Mostafa Bamha (Applications of Big Data Analytics, 2018)

Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems. - Daniele Foroni; Cristian Axenie; Stefano Bortoli; Mohamad Al Hajj Hassan; Ralph Acker; Radu Tudoran; Goetz Brasche; Yannis Velegrakis (BIRTE, 2018)

STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Daniele Foroni; Goetz Brasche (ICMLA, 2018)

NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Goetz Brasche (ICANN (1), 2019)

Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Carlos Salort Sánchez; Goetz Brasche (ICMLA, 2019)

An Online Incremental Clustering Framework for Real-Time Stream Analytics. - Carlos Salort Sánchez; Radu Tudoran; Mohamad Al Hajj Hassan; Stefano Bortoli; Goetz Brasche; Jan Baumbach; Cristian Axenie (ICMLA, 2019)

SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Alexander Wieder; Goetz Brasche (PKDD/ECML Workshops (2), 2019)

Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph Analytics. - Zainab Abbas; Paolo Sottovia; Mohamad Al Hajj Hassan; Daniele Foroni; Stefano Bortoli (IEEE BigData, 2020)

TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control. - Cristian Axenie; Rongye Shi; Daniele Foroni; Alexander Wieder; Mohamad Al Hajj Hassan; Paolo Sottovia; Margherita Grossi; Stefano Bortoli; Götz Brasche (AALTD@ECML/PKDD, 2021)

OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. - Cristian Axenie; Rongye Shi; Daniele Foroni; Alexander Wieder; Mohamad Al Hajj Hassan; Paolo Sottovia; Margherita Grossi; Stefano Bortoli; Götz Brasche (ECML/PKDD (4), 2021)