Ibad Kureshi
Ibad Kureshi
Inlecom Systems BVBA
Verified email at inlecomsystems.com - Homepage
TitleCited byYear
Using OpenStack to improve student experience in an HE environment
S Bonner, C Pulley, I Kureshi, V Holmes, J Brennan, Y James
2013 Science and Information Conference, 888-893, 2013
162013
Efficient comparison of massive graphs through the use of'graph fingerprints'.
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS McGough
ACM, 2016
132016
Efficient Comparison of Massive Graphs Through The Use Of ‘Graph Fingerprints’
GT Stephen Bonner, John Brennan, Ibad Kureshi, McGough Stephen
SIGKKD 12th International Workshop on Mining and Learning with Graphs (MLG), 2016
13*2016
Deep topology classification: A new approach for massive graph classification
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS McGough
2016 IEEE International Conference on Big Data (Big Data), 3290-3297, 2016
122016
Advancing research infrastructure using openstack
I Kureshi, C Pulley, J Brennan, V Holmes, S Bonner, Y James
International Journal of Advanced Computer Science and Applications 3 (4), 64-70, 2013
122013
Data quality assessment and anomaly detection via map/reduce and linked data: a case study in the medical domain
S Bonner, AS McGough, I Kureshi, J Brennan, G Theodoropoulos, L Moss, ...
2015 IEEE International Conference on Big Data (Big Data), 737-746, 2015
102015
Data quality assessment and anomaly detection via map/reduce and linked data: a case study in the medical domain
S Bonner, AS McGough, I Kureshi, J Brennan, G Theodoropoulos, L Moss, ...
2015 IEEE International Conference on Big Data (Big Data), 737-746, 2015
102015
Developing high performance computing resources for teaching cluster and grid computing courses
V Holmes, I Kureshi
Procedia Computer Science 51, 1714-1723, 2015
82015
Huddersfield university campus grid: Qgg of oscar clusters
V Holmes, I Kureshi
Journal of Physics: conference series 256 (1), 012022, 2010
82010
Towards an info-symbiotic decision support system for disaster risk management
I Kureshi, G Theodoropoulos, E Mangina, G O'Hare, J Roche
2015 IEEE/ACM 19th International Symposium on Distributed Simulation and …, 2015
72015
Combining AiG Agents with Unicore grid for improvement of user support
K Lysik, K Wasielewska, M Paprzycki, M Ganzha, J Brennan, V Holmes, ...
2013 first international symposium on computing and networking, 66-74, 2013
62013
GFP-X: A parallel approach to massive graph comparison using spark
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS McGough
2016 IEEE International Conference on Big Data (Big Data), 3298-3307, 2016
52016
CDES: an approach to HPC workload modelling
J Brennan, I Kureshi, V Holmes
2014 IEEE/ACM 18th International Symposium on Distributed Simulation and …, 2014
52014
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
S Bonner, J Brennan, I Kureshi, G Theodoropoulos, AS McGough, ...
2018 IEEE International Conference on Big Data (Big Data), 3737-3746, 2018
42018
Hybrid computer cluster with high flexibility
S Liang, V Holmes, I Kureshi
2012 IEEE International Conference on Cluster Computing Workshops, 128-135, 2012
42012
Establishing a university grid for hpc applications
I Kureshi
University of Huddersfield, 2010
42010
Using hadoop to implement a semantic method of assessing the quality of research medical datasets
S Bonner, G Antoniou, L Moss, I Kureshi, D Corsair, I Tachmazidis
Proceedings of the 2014 International Conference on Big Data Science and …, 2014
32014
Hybrid HPC–Establishing a Bi-Stable Dual Boot Cluster for Linux with OSCAR middleware and Windows HPC 2008 R2
I Kureshi, V Holmes, S Liang
32010
Evaluating the quality of graph embeddings via topological feature reconstruction
S Bonner, J Brennan, I Kureshi, G Theodoropoulos, AS McGough, ...
2017 IEEE International Conference on Big Data (Big Data), 2691-2700, 2017
22017
Creating an he ict infrastructure fit for the 21st century
V Holmes, I Kureshi
22013
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Articles 1–20