Publications

2021

2020

• Muhammad Jaleed Khan, Edward Curry, “Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges”, Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), Oct. 2020.
• Piyush Yadav, Dipto Sarkar, Dhaval Salwala, Edward Curry, “Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras”, International Conference on Geographic Information Science (GIScience) 2020.
• Amin Anjomshoaa, Edward Curry, “Inter-space Machine Learning in Smart Environments“, International Cross-Domain Conference for Machine Learning and Knowledge Extraction, pp. 535-549. Springer, Cham, 2020.
• Asra Aslam, Edward Curry, “Object Detection for Unseen Domains while Reducing Response Time using Knowledge Transfer in Multimedia Event Processing”, Proceedings of the 2020 ACM on International Conference on Multimedia Retrieval (ICMR).
• Asra Aslam, Edward Curry, “Reducing Response Time for Multimedia Event Processing using Domain Adaptation”, Proceedings of the 2020 ACM on International Conference on Multimedia Retrieval (ICMR).
• Piyush Yadav, Dhaval Salwala, Edward Curry, “Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing”, International Journal of Graph Computing (IJGC), 2020.
• Felipe Arruda Pontes, Edward Curry, “Cloud-Edge Microservice Architecture for DNN-based Distributed Multimedia Event Processing”, In 1st International Workshop on Edge Migration and Architecture (EdgeWays 2020), 2020.
• Niki Pavloupulu, Edward Curry, “Dynamic Diverse Summarisation in Heterogeneous Graph Streams: A Comparison between Thesaurus/Ontology-based and Embeddings-based Approaches”, In International Journal of Graph Computing, vol. 1, no. 1, pp. 70-94, 2020.
• Piyush Yadav, Dhaval Salwala, Dibya Prakash Das, Edward Curry, “Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing“, In International Journal of Semantic Computing, vol. 14, no. 03, pp. 423-455, 2020.

2019

• Piyush Yadav, “High-performance complex event processing framework to detect event patterns over video streams”, In Proceedings of the 20th International Middleware Conference Doctoral Symposium, pp. 47-50. 2019.
• Tarek Zaarour, Edward Curry, “Adaptive Filtering of Visual Content in Distributed Publish/Subscribe Systems”, In The 18th IEEE International Symposium on Network Computing and Applications (NCA 2019), 2019.
• Piyush Yadav, Edward Curry, “VEKG: Video Event Knowledge Graph to Represent Video Streams for Complex Event Pattern Matching”, In First International Conference on Graph Computing 2019, 2019.
• Piyush Yadav, D. P. Das, Edward Curry., “State Summarization of Video Streams for Spatiotemporal Query Matching in Complex Event Processing”, In 18th IEEE International Conference on Machine Learning and Applications (IEEE-ICMLA), IEEE, Boca Raton, Florida, 2019.
• Piyush Yadav, Dibya Prakash Das, Edward Curry, “Data-Driven Windows to Accelerate Video Stream Content Extraction in Complex Event Processing”, In Proceedings of the 20th International Middleware Conference Demos and Posters- Middleware ’19, ACM Press, New York, New York, USA, pp. 15-16, 2019.
• Piyush Yadav, Edward Curry, “VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams”, In IEEE International Conference on BigData (IEEE BigData’19), Los Angeles, 2019.
• Piyush Yadav, Shamshuddin Ladha, Shailesh Deshpande, Edward Curry, “Feature Set Consolidation for Object Representation by Parts”, In 21st IEEE Symposium on Multimedia (IEEE ISM ’19), San Diego, California, USA, 2019.
• Niki Pavlopoulou, Edward Curry, “Towards a window-based diverse entity summarisation engine in publish/subscribe systems”, In Proceedings of EYRE 19: 2nd International Workshop on Entity Retrieval, ACM, pp. 32-29, 2019.
• Piyush Yadav, Shamsuddin Ladha, Shailesh Deshpande, Edward Curry, “Computational Model for Urban Growth Using Socioeconomic Latent Parameters”, Chapter in The First International Workshop on Urban Reasoning, pp. 65-78, 2019.
• Niki Pavlopoulou, Edward Curry, “Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Streams”, In 2019 First International Conference on Graph Computing (GC), IEEE, pp. 5-12, 2019.

2018

• Asra Aslam, Edward Curry, “Towards a Generalized Approach for Deep Neural Network Based Event Processing for the Internet of Multimedia Things”, In IEEE Access, vol. 6, pp. 25573-25587, 2018.
• Piyush Yadav, Shamsuddin Ladha, Hailesh Deshpanda, Edward Curry, “Computational Model for Urban Growth Using Socioeconomic Latent Parameters”, In The First International Workshop on Urban Reasoning, 2018. 

2017

• Tarek Zaarour, Niki Pavlopoulou, Souleiman Hasan, Umair ul Hassan, Edward Curry, “Grand Challenge: Automatic Anomaly Detection over Sliding Windows”, In The 11th ACM International Conference on Distributed and Event-Based Systems (DEBS ’17), ACM New York, NY, USA, Barcelona, Spain, 2017.
• Piyush Yadav, Souleiman Hasan, Adegboyega Ojo, Edward Curry, “The Role of Open Data in Driving Sustainable Mobility in Nine Smart Cities”, In 25th European Conference on Information Systems (ECIS 2017), Guimarães, Portugal, 2017.
• Piyush Yadav, Umair ul Hassan, Souleiman Hasan, Edward Curry, “The Event Crowd: A novel approach for crowd-enabled event processing”, In The 11th ACM International Conference on Distributed and Event-Based Systems (DEBS ’17), ACM International Conference Proceedings Series, ACM Press, Barcelona, Spain, 2017.
• Asra Aslam, Souleiman Hasan, Edward Curry, “Challenges with Image Event Processing (Poster)”, In The 11th ACM International Conference on Distributed and Event-Based Systems (DEBS ’17), ACM New York, NY, USA, Barcelona, Spain, 2017.