Mariam Kiran

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 54

Top Venues

CoRR

Future Gener. Comput. Syst.

FiCloud

SNTA@HPDC

University of Sheffield, UK (PHD)

Education History

University of Sheffield, UK

PHD

Publications

Fatema Bannat Wala, Mariam Kiran
5G Network Security Practices: An Overview and Survey. CoRR (2024)
Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR (2024)
Mariam Kiran
Engineering Autonomous Self-Driving Networks. SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Fatema Bannat Wala, Scott Campbell, Mariam Kiran
Insights into DoH: Traffic Classification for DNS over HTTPS in an Encrypted Network. SNTA@HPDC (2023)
Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman
Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. SC Workshops (2023)
Mariam Kiran, Buse Melis Ozyildirim
Hyperparameter Tuning for Deep Reinforcement Learning Applications. CoRR (2022)
Mekena Metcalf, Huo Chen, Anastasiia Butko, Mariam Kiran
Autonomous Pulse Control for Quantum Transducers with Deep Reinforcement Learning. OFC (2022)
Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes P. Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Bjoern Enders, Aditi Gaur, Annette Greiner, Taylor Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok
The LBNL Superfacility Project Report. CoRR (2022)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC (2022)
Sugeerth Murugesan, Mariam Kiran, Bernd Hamann, Gunther H. Weber
Netostat: analyzing dynamic flow patterns in high-speed networks. Clust. Comput. 25 (4) (2022)
Mariam Kiran, Scott Campbell, Nick Buraglio
Hecate: AI-driven WAN Traffic Engineering for Science. INDIS@SC (2022)
Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. PEARC (2021)
George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117 (2021)
Shan Sun, Mariam Kiran, Wei Ren
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering. CoRR (2021)
Bashir Mohammed, Nandini Krishnaswamy, Mariam Kiran, Keshang Wu
Predicting WAN traffic volumes using Fourier and multivariate SARIMA approach. Int. J. Big Data Intell. 8 (1) (2021)
Buse Melis Ozyildirim, Mariam Kiran
Levenberg-Marquardt multi-classification using hinge loss function. Neural Networks 143 (2021)
Mariam Kiran, Scott Campbell, Fatema Bannat Wala, Nick Buraglio, Inder Monga
Machine learning-based analysis of COVID-19 pandemic impact on US research networks. Comput. Commun. Rev. 51 (4) (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Scientific Workflows for Anomalous Data Transfers. CoRR (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Workflows for Anomalous Data Transfers. MSR (2021)
Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. MLHPC@SC (2021)
Meriam Gay Bautista, Zhi Jackie Yao, Anastasiia Butko, Mariam Kiran, Mekena Metcalf
Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning. ISVLSI (2021)
Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. CoRR (2021)
Divneet Kaur, Bashir Mohammed, Mariam Kiran
NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds. CoRR (2021)
Sheng Shen, Mariam Kiran, Bashir Mohammed
DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering. MLN (2021)
Bashir Mohammed, Mariam Kiran, Bjoern Enders
NetGraf: An End-to-End Learning Network Monitoring Service. INDIS@SC (2021)
Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman
Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. Mach. Learn. 109 (5) (2020)
Bjoern Enders, Debbie Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Aditi Gaur, Annette Greiner, Taylor Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok
Cross-facility science with the Superfacility Project at LBNL. XLOOP@SC (2020)
Hocine Mahtout, Mariam Kiran, Anu Mercian, Bashir Mohammed
Using Machine Learning for Intent-based provisioning in High-Speed Science Networks. SNTA@HPDC (2020)
Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. CoRR (2020)
Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Mariam Kiran, Dan Lurie, Bernd Hamann, Gunther H. Weber
State-based network similarity visualization. Inf. Vis. 19 (2) (2020)
Mariam Kiran, Samir Khan
Editorial: Machine learning for safety-critical applications in engineering. Mach. Learn. 109 (5) (2020)
Buse Melis Ozyildirim, Mariam Kiran
Do optimization methods in deep learning applications matter? CoRR (2020)
Nandini Krishnaswamy, Mariam Kiran, Kunal Singh, Bashir Mohammed
Data-driven Learning to Predict WAN Network Traffic. SNTA@HPDC (2020)
Scott Campbell, Mariam Kiran, Fatema Bannat Wala
Unsupervised Anomaly Detection in Daily WAN Traffic Patterns. SMC (2020)
Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman
Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. HPEC (2020)
Mariam Kiran, Bashir Mohammed, Nandini Krishnaswamy
DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning. MLN (2019)
Bashir Mohammed, Nandini Krishnaswamy, Mariam Kiran
Multivariate Time-Series Prediction for Traffic in Large WAN Topology. ANCS (2019)
George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman
Training Classifiers to Identify TCP Signatures in Scientific Workflows. INDIS@SC (2019)
Bashir Mohammed, Mariam Kiran, Nandini Krishnaswamy
DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed. ICNP (2019)
Mariam Kiran, Anshuman Chhabra
Understanding flows in high-speed scientific networks: A Netflow data study. Future Gener. Comput. Syst. 94 (2019)
Bashir Mohammed, Babagana Modu, Kabiru M. Maiyama, Hassan Ugail, Irfan Awan, Mariam Kiran
Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment. Electron. Notes Theor. Comput. Sci. 340 (2018)
Mariam Kiran, Eric Pouyoul, Anu Mercian, Brian Tierney, Chin Guok, Inder Monga
Enabling intent to configure scientific networks for high performance demands. Future Gener. Comput. Syst. 79 (2018)
Amel Bennaceur, Ampaeli Cano, Lilia Georgieva, Mariam Kiran, Maria Salama, Poonam Yadav
Issues in Gender Diversity and Equality in the UK. GE@ICSE (2018)
Fatma Alali, Nathan Hanford, Eric Pouyoul, Rajkumar Kettimuthu, Mariam Kiran, Ben Mack-Crane, Brian Tierney, Yatish Kumar, Dipak Ghosal
Calibers: A bandwidth calendaring paradigm for science workflows. Future Gener. Comput. Syst. 89 (2018)
Anu Mercian, Mariam Kiran, Eric Pouyoul, Brian Tierney, Inder Monga
INDIRA: 'Application Intent' network assistant to configure SDN-based high performance scientific networks. OFC (2017)
Bashir Mohammed, Sibusiso Moyo, Kabiru M. Maiyama, Sulayman Kinteh, Al Noaman M. K. Al-Shaidy, Mumtaz Ahmed Kamala, Mariam Kiran
Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study. CoRR (2017)
Kabiru Muhammad Maiyama, Demetres D. Kouvatsos, Bashir Mohammed, Mariam Kiran, Mumtaz Ahmed Kamala
Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform. FiCloud (2017)
Muhammad Usman, Adnan Iqbal, Mariam Kiran
A bandwidth friendly architecture for Cloud Gaming. ICOIN (2017)
Tatyana Eftonova, Mariam Kiran, Mike Stannett
Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling. Int. J. Syst. Dyn. Appl. 6 (1) (2017)
Bashir Mohammed, Mariam Kiran, Kabiru M. Maiyama, Mumtaz M. Kamala, Irfan-Ullah Awan
Failover strategy for fault tolerance in cloud computing environment. Softw. Pract. Exp. 47 (9) (2017)
Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, Kabiru M. Maiyama
Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment. FiCloud (2016)
Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, Kabiru M. Maiyama
An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Mariam Kiran, Anthony J. H. Simons
Testing Software Services in Cloud Ecosystems. Int. J. Cloud Appl. Comput. 6 (1) (2016)
Mariam Kiran
Modelling Cities as a Collection of TeraSystems - Computational Challenges in Multi-Agent Approach. ANT/SEIT (2015)
Ashraf Al-Ou'n, Mariam Kiran, Demetres D. Kouvatsos
Using Agent-Based VM Placement Policy. FiCloud (2015)
Mariam Kiran, Peter Murphy, Inder Monga, Jon Dugan, Sartaj Singh Baveja
Lambda architecture for cost-effective batch and speed big data processing. IEEE BigData (2015)
Savas Konur, Mariam Kiran, Marian Gheorghe, Mark Burkitt, Florentin Ipate
Agent-Based High-Performance Simulation of Biological Systems on the GPU. HPCC/CSS/ICESS (2015)
Mariam Kiran, Kabiru Maiyama, Haroon Mir, Bashir Mohammed, Ashraf Al-Ou'n
Agent-Based Modelling as a Service on Amazon EC2: Opportunities and Challenges. UCC (2015)
Bashir Mohammed, Mariam Kiran
Analysis of Cloud Test Beds Using OpenSource Solutions. FiCloud (2015)
Mariam Kiran
Using FLAME Toolkit for Agent-Based Simulation: Case Study Sugarscape Model. CoRR (2014)
Mariam Kiran, Gregory Katsaros, Jordi Guitart, Juan Luis Prieto
Methodology for Information Management and Data Assessment in Cloud Environments. Int. J. Grid High Perform. Comput. 6 (4) (2014)
Mariam Kiran, Wei Liu
Converting a Systems Dynamic Model to an Agent-based model for studying the Bicoid morphogen gradient in Drosophila embryo. CoRR (2014)
Mariam Kiran, Anthony J. H. Simons
Model-Based Testing for Composite Web Services in Cloud Brokerage Scenarios. ESOCC Workshops (2014)
Bashir Mohammed, Mariam Kiran
Experimental Report on Setting up a Cloud Computing Environment at the University of Bradford. CoRR (2014)
Mariam Kiran, Andreas Friesen, Anthony J. H. Simons, Wolfgang K. R. Schwach
Model-Based Testing in Cloud Brokerage Scenarios. ICSOC Workshops (2013)
Mike Holcombe, Simon Coakley, Mariam Kiran, Lee Shawn Chin, Chris Greenough, David Worth, Silvano Cincotti, Marco Raberto, Andrea Teglio, Christophe Deissenberg, Sander van der Hoog, Herbert Dawid, Simon Gemkow, Philipp Harting, Michael Neugart
Large-Scale Modeling of Economic Systems. Complex Syst. 22 (2) (2013)
Afnan Ullah Khan, Manuel Oriol, Mariam Kiran
Threat methodology for securing scalable video in the Cloud. ICITST (2013)
Tom Kirkham, Karim Djemame, Mariam Kiran, Ming Jiang, Django Armstrong, George Kousiouris, George Vafiadis, Athanasia Evangelinou
Risk based SLA management in clouds: A legal perspective. ICITST (2012)
Tom Kirkham, Django Armstrong, Karim Djemame, Marcelo Corrales, Mariam Kiran, Iheanyi Nwankwo, Ming Jiang, Nikolaus Forgó
Assuring Data Privacy in Cloud Transformations. TrustCom (2012)
Afnan Ullah Khan, Manuel Oriol, Mariam Kiran, Ming Jiang, Karim Djemame
Security risks and their management in cloud computing. CloudCom (2012)
Mariam Kiran, Ming Jiang, Django Armstrong, Karim Djemame
Towards a Service Lifecycle Based Methodology for Risk Assessment in Cloud Computing. DASC (2011)
Salem Fawaz Adra, Mariam Kiran, Phil McMinn, Neil Walkinshaw
A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications. IEEE Congress on Evolutionary Computation (2011)
Chris Greenough, Lee Shawn Chin, David Worth, Simon Coakley, Mike Holcombe, Mariam Kiran
An Approach to the Parallelisation of Agent-Based Applications. ERCIM News 2010 (81) (2010)
Mariam Kiran, Paul Richmond, Mike Holcombe, Lee Shawn Chin, David Worth, Chris Greenough
FLAME: simulating large populations of agents on parallel hardware architectures. AAMAS (2010)
Mariam Kiran, Simon Coakley, Neil Walkinshaw, Phil McMinn, Mike Holcombe
Validation and discovery from computational biology models. Biosyst. 93 (1-2) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mariam Kiran