Ibad Kureshi

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 18

Top Venues

University of Huddersfield, UK (PHD)

Education History

University of Huddersfield, UK

PHD

Publications

Abdelhadi Belfadel, Sebastian Hörl, Rodrigo Javier Tapia, Dimitra Politaki, Ibad Kureshi, Lorant A. Tavasszy, Jakob Puchinger
A conceptual digital twin framework for city logistics. Comput. Environ. Urban Syst. 103 (2023)
Pedro Cárdenas, Ioannis P. Ivrissimtzis, Boguslaw Obara, Ibad Kureshi, Georgios Theodoropoulos
Big data for human security: The case of COVID-19. J. Comput. Sci. 60 (2022)
Muhammad Adnan, Uneb Gazder, Ansar-Ul-Haque Yasar, Tom Bellemans, Ibad Kureshi
Estimation of travel time distributions for urban roads using GPS trajectories of vehicles: a case of Athens, Greece. Pers. Ubiquitous Comput. 25 (1) (2021)
Pedro Cárdenas, Boguslaw Obara, Ioannis P. Ivrissimtzis, Ibad Kureshi, Georgios Theodoropoulos
Big Data for National Security in the Era of COVID-19. ICCS (1) (2021)
Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi
Unveiling Ideological Trends Through Data Analytics to Construe National Security Instabilities. IEEE BigData (2020)
Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. IEEE BigData (2019)
Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. Data Sci. Eng. 4 (3) (2019)
Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. CoRR (2019)
Tibor Toth, Georgios Theodoropoulos, Samuel Boland, Ibad Kureshi, Adam Ghandar
Global Challenge Governance: Time for Big Modelling? ICCI*CC (2019)
Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi
Analysing Social Media as a Hybrid Tool to Detect and Interpret likely Radical Behavioural Traits for National Security. IEEE BigData (2019)
Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi
Defining an Alert Mechanism for Detecting likely threats to National Security. IEEE BigData (2018)
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. CoRR (2018)
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. IEEE BigData (2018)
Pedro Cárdenas, Georgios Theodoropoulos, Boguslaw Obara, Ibad Kureshi
A Conceptual Framework for Social Movements Analytics for National Security. ICCS (1) (2018)
Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. CoRR (2018)
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Evaluating the quality of graph embeddings via topological feature reconstruction. IEEE BigData (2017)
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
GFP-X: A parallel approach to massive graph comparison using spark. IEEE BigData (2016)
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
Deep topology classification: A new approach for massive graph classification. IEEE BigData (2016)
Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData (2015)
Violeta Holmes, Ibad Kureshi
Developing High Performance Computing Resources for Teaching Cluster and Grid Computing Courses. ICCS (2015)
Ibad Kureshi, Georgios Theodoropoulos, Eleni E. Mangina, Gregory M. P. O'Hare, John Roche
Towards an Info-Symbiotic Decision Support System for Disaster Risk Management. DS-RT (2015)
John Brennan, Ibad Kureshi, Violeta Holmes
CDES: An Approach to HPC Workload Modelling. DS-RT (2014)
Kamil Lysik, Katarzyna Wasielewska, Marcin Paprzycki, Maria Ganzha, John Brennan, Violeta Holmes, Ibad Kureshi
Combining AiG Agents with Unicore Grid for Improvement of User Support. CANDAR (2013)
Ibad Kureshi, Violeta Holmes, David Cooke
Robust Mouldable Scheduling Using Application Benchmarking for Elastic Environments. BCI (Local) (2012)
Shuo Liang, Violeta Holmes, Ibad Kureshi
Hybrid Computer Cluster with High Flexibility. CLUSTER Workshops (2012)

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Publication Activity (10 Years)

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Ibad Kureshi