Ibad Kureshi

According to our database, Ibad Kureshi authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A conceptual digital twin framework for city logistics.

Abdelhadi Belfadel, Sebastian Hörl, Rodrigo Javier Tapia, Dimitra Politaki, Ibad Kureshi, Lorant A. Tavasszy, Jakob Puchinger

Comput. Environ. Urban Syst., 2023

2022

Big data for human security: The case of COVID-19.

Pedro Cárdenas, Ioannis P. Ivrissimtzis, Boguslaw Obara, Ibad Kureshi, Georgios Theodoropoulos

J. Comput. Sci., 2022

2021

Estimation of travel time distributions for urban roads using GPS trajectories of vehicles: a case of Athens, Greece.

Muhammad Adnan, Uneb Gazder, Ansar-Ul-Haque Yasar, Tom Bellemans, Ibad Kureshi

Pers. Ubiquitous Comput., 2021

Big Data for National Security in the Era of COVID-19.

Pedro Cárdenas, Boguslaw Obara, Ioannis P. Ivrissimtzis, Ibad Kureshi, Georgios Theodoropoulos

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Unveiling Ideological Trends Through Data Analytics to Construe National Security Instabilities.

Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study.

Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Data Sci. Eng., 2019

Analysing Social Media as a Hybrid Tool to Detect and Interpret likely Radical Behavioural Traits for National Security.

Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions.

Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Global Challenge Governance: Time for Big Modelling?

Tibor Toth, Georgios Theodoropoulos, Samuel Boland, Ibad Kureshi, Adam Ghandar

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018

A Conceptual Framework for Social Movements Analytics for National Security.

Pedro Cárdenas, Georgios Theodoropoulos, Boguslaw Obara, Ibad Kureshi

Proceedings of the Computational Science - ICCS 2018, 2018

Defining an Alert Mechanism for Detecting likely threats to National Security.

Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning.

Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Evaluating the quality of graph embeddings via topological feature reconstruction.

Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

An intelligent robust mouldable scheduler for HPC & elastic environments.

Ibad Kureshi

PhD thesis, 2016

GFP-X: A parallel approach to massive graph comparison using spark.

Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Deep topology classification: A new approach for massive graph classification.

Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Developing High Performance Computing Resources for Teaching Cluster and Grid Computing Courses.

Violeta Holmes, Ibad Kureshi

Proceedings of the International Conference on Computational Science, 2015

Towards an Info-Symbiotic Decision Support System for Disaster Risk Management.

Ibad Kureshi, Georgios Theodoropoulos, Eleni E. Mangina, Gregory M. P. O'Hare, John Roche

Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain.

Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

CDES: An Approach to HPC Workload Modelling.

John Brennan, Ibad Kureshi, Violeta Holmes

Proceedings of the 18th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2014

2013

Combining AiG Agents with Unicore Grid for Improvement of User Support.

Kamil Lysik, Katarzyna Wasielewska, Marcin Paprzycki, Maria Ganzha, John Brennan, Violeta Holmes, Ibad Kureshi

Proceedings of the First International Symposium on Computing and Networking, 2013

2012

Hybrid Computer Cluster with High Flexibility.

Shuo Liang, Violeta Holmes, Ibad Kureshi

Proceedings of the 2012 IEEE International Conference on Cluster Computing Workshops, 2012

Robust Mouldable Scheduling Using Application Benchmarking for Elastic Environments.

Ibad Kureshi, Violeta Holmes, David Cooke

Proceedings of the Local Proceedings of the Fifth Balkan Conference in Informatics, 2012, 2012