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Sakil Barbhuiya
Sakil Barbhuiya
Data Scientist, SpotX (now part of Magnite)
Verified email at qub.ac.uk
Title
Cited by
Cited by
Year
Challenges and opportunities in edge computing
B Varghese, N Wang, S Barbhuiya, P Kilpatrick, DS Nikolopoulos
2016 IEEE international conference on smart cloud (SmartCloud), 20-26, 2016
6402016
RADS: Real-time anomaly detection system for cloud data centres
S Barbhuiya, Z Papazachos, P Kilpatrick, DS Nikolopoulos
arXiv preprint arXiv:1811.04481, 2018
252018
A lightweight tool for anomaly detection in cloud data centres
S Barbhuiya, Z Papazachos, P Kilpatrick, DS Nikolopoulos
International Conference on Cloud Computing and Services Science 2, 343-351, 2015
232015
DroidLight: Lightweight anomaly-based intrusion detection system for smartphone devices
S Barbhuiya, P Kilpatrick, DS Nikolopoulos
Proceedings of the 21st international conference on distributed computing …, 2020
152020
Generative design for additive manufacturing using a biological development analogy
M Price, W Zhang, I Friel, T Robinson, R McConnell, D Nolan, P Kilpatrick, ...
Journal of Computational Design and Engineering 9 (2), 463-479, 2022
92022
A multi-threaded programming strategy for parallel Weather Forecast Model using C
S Barbhuiya, Y Liang
2012 2nd IEEE International Conference on Parallel, Distributed and Grid …, 2012
72012
Gene-inspired development of innovative design: principles and algorithm
W Zhang, M Price, T Robinson, D Nolan, P Kilpatrick, S Barbhuiya
Procedia CIRP 91, 838-843, 2020
52020
Design gene representations for emergent innovative design
SB Nikolopoulosb, S Kylea
Advances in Manufacturing Technology XXXIII: Proceedings of the 17th …, 2019
52019
SmartMaaS: a framework for smart manufacturing-as-a-service
S Barbhuiya, DS Nikolopoulos, M Priceb, T Robinson, D Nolan, W Zhang, ...
Advances in Manufacturing Technology XXXIII, 16-21, 2019
52019
LS-ADT: Lightweight and Scalable Anomaly Detection for Cloud Datacentres
S Barbhuiya, Z Papazachos, P Kilpatrick, DS Nikolopoulos
Cloud Computing and Services Science: 5th International Conference, CLOSER …, 2016
52016
Linear Regression Based DDoS Attack Detection
S Barbhuiya, P Kilpatrick, D S. Nikolopoulos
Proceedings of the 2021 13th International Conference on Machine Learning …, 2021
42021
Bio-inspired growth: introducing emergence into computational design
S Kyle, D Nolan, M Price, W Zhang, T Robinson, DS Nikolopoulos, ...
17th International Conference on Manufacturing Research, 379-385, 2019
22019
Heterogeneous servers based on programmable cores and dataflow engines
Y Wu, C Gillan, U Minhas, S Barbhuiya, A Novakovic, K Tovletoglou, ...
Workshop on Energy-efficient Servers for Cloud and Edge Computing 2017, 2017
22017
Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation.
A Abubakar, S Barbhuiya, P Kilpatrick, NA Vien, DS Nikolopoulos
CLOSER, 115-126, 2020
12020
Data collection framework: project deliverable D4. 1, revision 2
Z Papazachos, S Bharbuiya, P Kilpatrick, S Wesner, L Schubert, ...
Universität Ulm, 2017
12017
Anomaly Detection in Cloud and Mobile Devices
SA Barbhuiya
Queen's University Belfast. Faculty of Engineering and Physical Sciences, July, 2018
2018
Evaluation methodology for the CACTOS runtime and prediction toolkits: project deliverable D5. 4
C Stier, H Groenda, D Whigham, S Bharbuiya, Z Papazachos, C Hauser, ...
Universität Ulm, 2017
2017
Preliminary offline trace analysis: project deliverable D4. 2
Z Papazachos, S Bharbuiya, C Hauser, C Sheridan, C Stier, ...
Universität Ulm, 2017
2017
Accelerating Data Center Applications with Reconfigurable DataFlow Engines
S Barbhuiya, Y Wu, K Murphy, H Vandierendonck, G Karakonstantis, ...
Second International Workshop on Heterogeneous High-performance …, 2016
2016
A Novel Design System for Exploiting Additive Manufacturing
I Friel, M Price, R McConnell, W Zhang, T Robinson, D Nolan, P Kilpatrick, ...
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