Mariam Kiran - RankMe

90 papers A 2B 5C 2Misc 1Journal 42Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Short Scalability Study on the SeQUeNCe Parallel Quantum Network Simulator. CoRR Aaron Welch, Mariam Kiran
2025	J	`jnl`	Advancing anomaly detection in computational workflows with active learning. Future Gener. Comput. Syst. Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
2025	J	`jnl`	Framework for Integrating Machine Learning Methods for Path-Aware Source Routing. CoRR Anees Al-Najjar, Domingos Paraiso, Mariam Kiran, Cristina K. Dominicini, Everson Scherrer Borges, Rafael S. Guimarães, Magnos Martinello, Harvey Newman
2025	—	`conf`	From Path-Aware to Application-Aware Source Routing using Traffic Classes. SC Workshops Shashwitha Puttaswamy, Mariam Kiran
2025	J	`jnl`	OFCnetLLM: Large Language Model for Network Monitoring and Alertness. CoRR Hong-Jun Yoon, Mariam Kiran, Danial Ebling, Joe Breen
2025	—	`conf`	Rapid Quantum Network Simulation Design with a Path to Scalable Execution. SC Workshops Aaron Welch, Joel A. Dawson, Mariam Kiran
2025	J	`jnl`	SWARM: Reimagining scientific workflow management systems in a distributed world. Int. J. High Perform. Comput. Appl. Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu
2025	J	`jnl`	Simulators for quantum network modeling: A comprehensive review. Comput. Networks Oceane Bel, Mariam Kiran
2024	J	`jnl`	5G Network Security Practices: An Overview and Survey. CoRR Fatema Bannat Wala, Mariam Kiran
2024	J	`jnl`	Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
2024	B	`conf`	DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. IEEE Big Data Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman
2024	—	`conf`	Framework for Integrating Machine Learning Methods for Path-Aware Source Routing. SC Workshops Anees Al-Najjar, Domingos Paraiso, Mariam Kiran, Cristina K. Dominicini, Everson Scherrer Borges, Rafael S. Guimarães, Magnos Martinello, Harvey Newman
2024	—	`conf`	QNTN: Establishing a Regional Quantum Network in Tennessee. SC Workshops Mohamed Shaban, Muhammad Ismail, Mariam Kiran
2024	J	`jnl`	Simulators for Quantum Network Modelling: A Comprehensive Review. CoRR Oceane Bel, Mariam Kiran
2023	—	`conf`	Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. SC Workshops Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman
2023	J	`jnl`	Engineering Autonomous Self-Driving Networks. SIGMETRICS Perform. Evaluation Rev. Mariam Kiran
2023	J	`jnl`	Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
2023	—	`conf`	Insights into DoH: Traffic Classification for DNS over HTTPS in an Encrypted Network. SNTA@HPDC Fatema Bannat Wala, Scott Campbell, Mariam Kiran
2022	—	`conf`	Autonomous Pulse Control for Quantum Transducers with Deep Reinforcement Learning. OFC Mekena Metcalf, Huo Chen, Anastasiia Butko, Mariam Kiran
2022	—	`conf`	Hecate: AI-driven WAN Traffic Engineering for Science. INDIS@SC Mariam Kiran, Scott Campbell, Nick Buraglio
2022	J	`jnl`	Hyperparameter Tuning for Deep Reinforcement Learning Applications. CoRR Mariam Kiran, Buse Melis Özyildirim
2022	J	`jnl`	Netostat: analyzing dynamic flow patterns in high-speed networks. Clust. Comput. Sugeerth Murugesan, Mariam Kiran, Bernd Hamann, Gunther H. Weber
2022	J	`jnl`	The LBNL Superfacility Project Report. CoRR 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 L. Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok
2022	—	`conf`	Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
2021	—	`conf`	Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. PEARC Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
2021	—	`conf`	DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering. MLN Sheng Shen, Mariam Kiran, Bashir Mohammed
2021	J	`jnl`	End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 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
2021	—	`conf`	HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. MLHPC@SC Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
2021	J	`jnl`	HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. CoRR Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
2021	J	`jnl`	Levenberg-Marquardt multi-classification using hinge loss function. Neural Networks Buse Melis Özyildirim, Mariam Kiran
2021	J	`jnl`	MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering. CoRR Shan Sun, Mariam Kiran, Wei Ren
2021	J	`jnl`	Machine learning-based analysis of COVID-19 pandemic impact on US research networks. Comput. Commun. Rev. Mariam Kiran, Scott Campbell, Fatema Bannat Wala, Nick Buraglio, Inder Monga
2021	J	`jnl`	Mining Scientific Workflows for Anomalous Data Transfers. CoRR Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021	A	`conf`	Mining Workflows for Anomalous Data Transfers. MSR Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021	J	`jnl`	NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds. CoRR Divneet Kaur, Bashir Mohammed, Mariam Kiran
2021	—	`conf`	NetGraf: An End-to-End Learning Network Monitoring Service. INDIS@SC Bashir Mohammed, Mariam Kiran, Bjoern Enders
2021	J	`jnl`	Predicting WAN traffic volumes using Fourier and multivariate SARIMA approach. Int. J. Big Data Intell. Bashir Mohammed, Nandini Krishnaswamy, Mariam Kiran, Keshang Wu
2021	—	`conf`	Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning. ISVLSI Meriam Gay Bautista, Zhi Jackie Yao, Anastasiia Butko, Mariam Kiran, Mekena Metcalf
2020	—	`conf`	Cross-facility science with the Superfacility Project at LBNL. XLOOP@SC 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 L. Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok
2020	—	`conf`	Data-driven Learning to Predict WAN Network Traffic. SNTA@HPDC Nandini Krishnaswamy, Mariam Kiran, Kunal Singh, Bashir Mohammed
2020	J	`jnl`	Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. Mach. Learn. Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman
2020	J	`jnl`	Do optimization methods in deep learning applications matter? CoRR Buse Melis Özyildirim, Mariam Kiran
2020	J	`jnl`	Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. CoRR Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash
2020	J	`jnl`	Editorial: Machine learning for safety-critical applications in engineering. Mach. Learn. Mariam Kiran, Samir Khan
2020	—	`conf`	Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. HPEC Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman
2020	J	`jnl`	State-based network similarity visualization. Inf. Vis. Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Mariam Kiran, Dan Lurie, Bernd Hamann, Gunther H. Weber
2020	B	`conf`	Unsupervised Anomaly Detection in Daily WAN Traffic Patterns. SMC Scott Campbell, Mariam Kiran, Fatema Bannat Wala
2020	—	`conf`	Using Machine Learning for Intent-based provisioning in High-Speed Science Networks. SNTA@HPDC Hocine Mahtout, Mariam Kiran, Anu Mercian, Bashir Mohammed
2019	B	`conf`	DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed. ICNP Bashir Mohammed, Mariam Kiran, Nandini Krishnaswamy
2019	—	`conf`	DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning. MLN Mariam Kiran, Bashir Mohammed, Nandini Krishnaswamy
2019	—	`conf`	Multivariate Time-Series Prediction for Traffic in Large WAN Topology. ANCS Bashir Mohammed, Nandini Krishnaswamy, Mariam Kiran
2019	—	`conf`	Training Classifiers to Identify TCP Signatures in Scientific Workflows. INDIS@SC George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman
2019	J	`jnl`	Understanding flows in high-speed scientific networks: A Netflow data study. Future Gener. Comput. Syst. Mariam Kiran, Anshuman Chhabra
2018	J	`jnl`	A performance modeling framework for lambda architecture based applications. Future Gener. Comput. Syst. Marco Gribaudo, Mauro Iacono, Mariam Kiran
2018	J	`jnl`	Calibers: A bandwidth calendaring paradigm for science workflows. Future Gener. Comput. Syst. Fatma Alali, Nathan Hanford, Eric Pouyoul, Rajkumar Kettimuthu, Mariam Kiran, Ben Mack-Crane, Brian Tierney, Yatish Kumar, Dipak Ghosal
2018	J	`jnl`	Enabling intent to configure scientific networks for high performance demands. Future Gener. Comput. Syst. Mariam Kiran, Eric Pouyoul, Anu Mercian, Brian Tierney, Chin Guok, Inder Monga
2018	—	`conf`	Issues in Gender Diversity and Equality in the UK. GE@ICSE Amel Bennaceur, Ampaeli Cano, Lilia Georgieva, Mariam Kiran, Maria Salama, Poonam Yadav
2017	—	`conf`	A bandwidth friendly architecture for Cloud Gaming. ICOIN Muhammad Usman, Adnan Iqbal, Mariam Kiran
2017	J	`jnl`	Failover strategy for fault tolerance in cloud computing environment. Softw. Pract. Exp. Bashir Mohammed, Mariam Kiran, Kabiru M. Maiyama, Mumtaz M. Kamala, Irfan-Ullah Awan
2017	—	`conf`	Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment. UKPEW Bashir Mohammed, Babagana Modu, Kabiru M. Maiyama, Hassan Ugail, Irfan Awan, Mariam Kiran
2017	—	`conf`	INDIRA: 'Application Intent' network assistant to configure SDN-based high performance scientific networks. OFC Anu Mercian, Mariam Kiran, Eric Pouyoul, Brian Tierney, Inder Monga
2017	J	`jnl`	Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling. Int. J. Syst. Dyn. Appl. Tatyana Eftonova, Mariam Kiran, Mike Stannett
2017	—	`conf`	Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform. FiCloud Kabiru Muhammad Maiyama, Demetres D. Kouvatsos, Bashir Mohammed, Mariam Kiran, Mumtaz Ahmed Kamala
2017	J	`jnl`	Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study. CoRR Bashir Mohammed, Sibusiso Moyo, Kabiru M. Maiyama, Sulayman Kinteh, Al Noaman M. K. Al-Shaidy, Mumtaz Ahmed Kamala, Mariam Kiran
2016	—	`conf`	An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, Kabiru M. Maiyama
2016	—	`conf`	Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment. FiCloud Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, Kabiru M. Maiyama
2016	J	`jnl`	Testing Software Services in Cloud Ecosystems. Int. J. Cloud Appl. Comput. Mariam Kiran, Anthony J. H. Simons
2015	—	`conf`	Agent-Based High-Performance Simulation of Biological Systems on the GPU. HPCC/CSS/ICESS Savas Konur, Mariam Kiran, Marian Gheorghe, Mark Burkitt, Florentin Ipate
2015	Misc	`conf`	Agent-Based Modelling as a Service on Amazon EC2: Opportunities and Challenges. UCC Mariam Kiran, Kabiru Maiyama, Haroon Mir, Bashir Mohammed, Ashraf Al-Ou'n
2015	—	`conf`	Analysis of Cloud Test Beds Using OpenSource Solutions. FiCloud Bashir Mohammed, Mariam Kiran
2015	—	`conf`	Lambda architecture for cost-effective batch and speed big data processing. IEEE BigData Mariam Kiran, Peter Murphy, Inder Monga, Jon Dugan, Sartaj Singh Baveja
2015	—	`conf`	Modelling Cities as a Collection of TeraSystems - Computational Challenges in Multi-Agent Approach. ANT/SEIT Mariam Kiran
2015	—	`conf`	Using Agent-Based VM Placement Policy. FiCloud Ashraf Al-Ou'n, Mariam Kiran, Demetres D. Kouvatsos
2014	J	`jnl`	Converting a Systems Dynamic Model to an Agent-based model for studying the Bicoid morphogen gradient in Drosophila embryo. CoRR Mariam Kiran, Wei Liu
2014	J	`jnl`	Experimental Report on Setting up a Cloud Computing Environment at the University of Bradford. CoRR Bashir Mohammed, Mariam Kiran
2014	J	`jnl`	Methodology for Information Management and Data Assessment in Cloud Environments. Int. J. Grid High Perform. Comput. Mariam Kiran, Gregory Katsaros, Jordi Guitart, Juan Luis Prieto
2014	—	`conf`	Model-Based Testing for Composite Web Services in Cloud Brokerage Scenarios. ESOCC Workshops Mariam Kiran, Anthony J. H. Simons
2014	J	`jnl`	Using FLAME Toolkit for Agent-Based Simulation: Case Study Sugarscape Model. CoRR Mariam Kiran
2013	J	`jnl`	Large-Scale Modeling of Economic Systems. Complex Syst. 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
2013	—	`conf`	Model-Based Testing in Cloud Brokerage Scenarios. ICSOC Workshops Mariam Kiran, Andreas Friesen, Anthony J. H. Simons, Wolfgang K. R. Schwach
2013	—	`conf`	Threat methodology for securing scalable video in the Cloud. ICITST Afnan Ullah Khan, Manuel Oriol, Mariam Kiran
2012	B	`conf`	Assuring Data Privacy in Cloud Transformations. TrustCom Tom Kirkham, Django Armstrong, Karim Djemame, Marcelo Corrales, Mariam Kiran, Iheanyi Nwankwo, Ming Jiang, Nikolaus Forgó
2012	—	`conf`	Risk based SLA management in clouds: A legal perspective. ICITST Tom Kirkham, Karim Djemame, Mariam Kiran, Ming Jiang, Django Armstrong, George Kousiouris, George Vafiadis, Athanasia Evangelinou
2012	C	`conf`	Security risks and their management in cloud computing. CloudCom Afnan Ullah Khan, Manuel Oriol, Mariam Kiran, Ming Jiang, Karim Djemame
2011	B	`conf`	A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications. IEEE Congress on Evolutionary Computation Salem Fawaz Adra, Mariam Kiran, Phil McMinn, Neil Walkinshaw
2011	C	`conf`	Towards a Service Lifecycle Based Methodology for Risk Assessment in Cloud Computing. DASC Mariam Kiran, Ming Jiang, Django Armstrong, Karim Djemame
2010	J	`jnl`	An Approach to the Parallelisation of Agent-Based Applications. ERCIM News Chris Greenough, Lee Shawn Chin, David Worth, Simon Coakley, Mike Holcombe, Mariam Kiran
2010	A	`conf`	FLAME: simulating large populations of agents on parallel hardware architectures. AAMAS Mariam Kiran, Paul Richmond, Mike Holcombe, Lee Shawn Chin, David Worth, Chris Greenough
2010	—	`—`	Investigating coevolutionary algorithms in agent-based economic systems. Mariam Kiran
2008	J	`jnl`	Validation and discovery from computational biology models. Biosyst. Mariam Kiran, Simon Coakley, Neil Walkinshaw, Phil McMinn, Mike Holcombe