publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

My research involves (1) developing AI/ML solutions for networking infrastructure (wired, wireless and more). Additionally I also research (2) new optimization and AI approaches that can be used for these self-learning systems.

More updated list can be found on Google Scholar and DBLP.

2023

  1. AI for Next-Generation Global Network-Integrated Systems and Testbeds
    Mariam Kiran, and Harvey B Neumann
    In Artificial Intelligence for Science: A Deep Learning Revolution, 2023
  2. Autonomous traffic (self-driving) network with traffic classes and passive and active learning
    Mariam Kiran, Nicholas Buraglio, and Scott Campbell
    2023
    US Patent App. 18/052,614
  3. Graph neural networks for detecting anomalies in scientific workflows
    Hongwei Jin, Krishnan Raghavan, George Papadimitriou, and 5 more authors
    The International Journal of High Performance Computing Applications, 2023
  4. Insights into DoH: Traffic Classification for DNS over HTTPS in an Encrypted Network
    Fatema Bannat Wala, Scott Campbell, and Mariam Kiran
    In Proceedings of the 2023 on Systems and Network Telemetry and Analytics, 2023

2022

  1. Netostat: analyzing dynamic flow patterns in high-speed networks
    Sugeerth Murugesan, Mariam Kiran, Bernd Hamann, and 1 more author
    Cluster Computing, 2022
  2. Hyperparameter tuning for deep reinforcement learning applications
    Mariam Kiran, and Melis Ozyildirim
    arXiv preprint arXiv:2201.11182, 2022
  3. Experimental beam combining stabilization using machine learning trained while phases drift
    Qiang Du, Dan Wang, Tong Zhou, and 5 more authors
    Optics express, 2022
  4. Autonomous Pulse Control for Quantum Transducers with Deep Reinforcement Learning
    Mekena Metcalf, Huo Chen, Anastasiia Butko, and 1 more author
    In Optical Fiber Communication Conference, 2022
  5. Machine learning pattern recognition algorithm with applications to coherent laser combination
    Dan Wang, Qiang Du, Tong Zhou, and 5 more authors
    IEEE Journal of Quantum Electronics, 2022
  6. The lbnl superfacility project report
    Deborah Bard, Cory Snavely, Lisa Gerhardt, and 8 more authors
    arXiv preprint arXiv:2206.11992, 2022
  7. Hecate: AI-driven WAN Traffic Engineering for Science
    Mariam Kiran, Scott Campbell, and Nick Buraglio
    In 2022 IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science (INDIS), 2022
  8. Workflow anomaly detection with graph neural networks
    Hongwei Jin, Krishnan Raghavan, George Papadimitriou, and 7 more authors
    In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), 2022

2021

  1. FlexDRL v1. 0
    Samir Touzani, Jessica Granderson, Marco Pritoni, and 4 more authors
    2021
  2. Controlling Laser Beam Combining via an Active Reinforcement Learning Algorithm
    Mariam Kiran, Bashir Mohammed, Qiang Du, and 3 more authors
    In Advanced Solid State Lasers, 2021
  3. MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
    Shan Sun, Mariam Kiran, and Wei Ren
    arXiv preprint arXiv:2111.15087, 2021
  4. Machine learning-based analysis of COVID-19 pandemic impact on US research networks
    Mariam Kiran, Scott Campbell, Fatema Bannat Wala, and 2 more authors
    ACM SIGCOMM Computer Communication Review, 2021
  5. NetGraf: An End-to-End Learning Network Monitoring Service
    Bashir Mohammed, Mariam Kiran, and Bjoern Enders
    In 2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS), 2021
  6. HYPPO: A surrogate-based multi-level parallelism tool for hyperparameter optimization
    Vincent Dumont, Casey Garner, Anuradha Trivedi, and 6 more authors
    In 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC), 2021
  7. DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering
    Sheng Shen, Mariam Kiran, and Bashir Mohammed
    In International Conference on Machine Learning for Networking, 2021
  8. Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency
    Samir Touzani, Anand Krishnan Prakash, Zhe Wang, and 5 more authors
    Applied Energy, 2021
  9. 2019 Computing Sciences Strategic Plan
    Kathy Yelick, Deb Agarwal, Debbie Bard, and 8 more authors
    2021
  10. Predicting WAN traffic volumes using Fourier and multivariate SARIMA approach
    Bashir Mohammed, Nandini Krishnaswamy, Mariam Kiran, and 1 more author
    International Journal of Big Data Intelligence, 2021
  11. Levenberg–Marquardt multi-classification using hinge loss function
    Buse Melis Ozyildirim, and Mariam Kiran
    Neural Networks, 2021
  12. Anomaly detection in scientific workflows using end-to-end execution gantt charts and convolutional neural networks
    Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, and 3 more authors
    In Practice and Experience in Advanced Research Computing, 2021
  13. Towards automated superconducting circuit calibration using deep reinforcement learning
    Meriam Gay Bautista, Zhi Jackie Yao, Anastasiia Butko, and 2 more authors
    In 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2021
  14. End-to-end online performance data capture and analysis for scientific workflows
    George Papadimitriou, Cong Wang, Karan Vahi, and 8 more authors
    Future Generation Computer Systems, 2021
  15. Mining Scientific Workflows for Anomalous Data Transfers
    Huy Tu, George Papadimitriou, Mariam Kiran, and 4 more authors
    arXiv preprint arXiv:2103.12221, 2021
  16. Mining workflows for anomalous data transfers
    Huy Tu, George Papadimitriou, Mariam Kiran, and 4 more authors
    In 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021

2020

  1. Indira: intent-based networking and rendering for networks (Indira) v1
    Eric Pouyoul, Brian Tierney, Inder Monga, and 1 more author
    2020
  2. Merope: Unsupervised Learning for Network Operations (Merope) v1
    Mariam Kiran
    2020
  3. Message from the Workshop Chairs
    Michelle Zhu, Sarah M Neuwirth, and Mariam Kiran
    In Proceedings of INDIS 2020: Innovating the Network for Data-Intensive Science, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2020
  4. Dynamic graph neural network for traffic forecasting in wide area networks
    Tanwi Mallick, Mariam Kiran, Bashir Mohammed, and 1 more author
    In 2020 IEEE International Conference on Big Data (Big Data), 2020
  5. 5G enabled energy innovation: Advanced wireless networks for science (workshop report)
    Pete Beckman, Charlie Catlett, Moinuddin Ahmed, and 8 more authors
    2020
  6. Towards AI-enabled Control for Enhancing Quantum Transduction
    Mekena Metcalf, Anastasiia Butko, and Mariam Kiran
    In Arxiv, 2020
  7. Deep reinforcement learning in buildings: Implicit assumptions and their impact
    Anand Krishnan Prakash, Samir Touzani, Mariam Kiran, and 3 more authors
    In Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities, 2020
  8. Artificial neural networks applied to stabilization of 81-beam coherent combining
    Dan Wang, Qiang Du, Tong Zhou, and 4 more authors
    In Advanced Solid State Lasers, 2020
  9. Deep reinforcement learning based control for two-dimensional coherent combining
    Bashir Mohammed, Mariam Kiran, Dan Wang, and 2 more authors
    In Laser Applications Conference, 2020
  10. Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP Packets
    Mariam Kiran, Cong Wang, George Papadimitriou, and 2 more authors
    2020
  11. Identifying execution anomalies for data intensive workflows using lightweight ML techniques
    Cong Wang, George Papadimitriou, Mariam Kiran, and 2 more authors
    In 2020 IEEE High Performance Extreme Computing Conference (HPEC), 2020
  12. NetGraf: A Collaborative Network Monitoring Stack for Network…… Experimental Testbeds
    Divneet Kaur, Bashir Mohammed, and Mariam Kiran
    2020
  13. Multi-agent meta reinforcement learning for packet routing in dynamic network environments
    Shan Sun, and Mariam Kiran
    2020
  14. Unsupervised Anomaly Detection in Daily WAN Traffic Patterns
    Scott Campbell, Mariam Kiran, and Fatema Bannat Wala
    In Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI: 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Oak Ridge, TN, USA, August 26-28, 2020, Revised Selected Papers 17, 2020
  15. Cross-facility science with the Superfacility Project at LBNL
    Bjoern Enders, Debbie Bard, Cory Snavely, and 8 more authors
    In 2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP), 2020
  16. Hylia: Time-Series Library for Network Operations (Hylia) v1
    Mariam Kiran, Nandini Krishnaswamy, Bashir Mohammed, and 1 more author
    2020
  17. Do optimization methods in deep learning applications matter?
    Buse Melis Ozyildirim, and Mariam Kiran
    arXiv preprint arXiv:2002.12642, 2020
  18. Machine learning for safety–critical applications in engineering
    Mariam Kiran, and Samir Khan
    2020
  19. Debugging Bad Performance in Huge Infrastructure: Using ML and AI (Presentation)
    Mariam Kiran, Anirban Mandal, George Papadimitriu, and 2 more authors
    2020
  20. Debugging Bad Performance in Huge Infrastructure: Using ML and AI (White Paper)
    Mariam Kiran, Anirban Mandal, George Papadimitriu, and 2 more authors
    2020
  21. Analysis of curtailment at The Geysers geothermal field, California
    Patrick Dobson, Dipankar Dwivedi, Dev Millstein, and 3 more authors
    Geothermics, 2020
  22. Using machine learning for intent-based provisioning in high-speed science networks
    Hocine Mahtout, Mariam Kiran, Anu Mercian, and 1 more author
    In Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020
  23. Data-driven learning to predict wan network traffic
    Nandini Krishnaswamy, Mariam Kiran, Kunal Singh, and 1 more author
    In Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

2019

  1. BES roundtable on producing and managing large scientific data with artificial intelligence and machine learning
    Daniel Ratner, Bobby Sumpter, Frank Alexander, and 8 more authors
    DOESC Office of Basic Energy Sciences, Tech. Rep., 2019
  2. Understanding flows in high-speed scientific networks: A netflow data study
    Mariam Kiran, and Anshuman Chhabra
    Future Generation Computer Systems, 2019
  3. DeepRoute on chameleon: Experimenting with large-scale reinforcement learning and SDN on chameleon testbed
    Bashir Mohammed, Mariam Kiran, and Nandini Krishnaswamy
    In 2019 IEEE 27th International Conference on Network Protocols (ICNP), 2019
  4. Multivariate time-series prediction for traffic in large WAN topology
    Bashir Mohammed, Nandini Krishnaswamy, and Mariam Kiran
    In 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 2019
  5. State-based network similarity visualization
    Information Visualization, 2019
  6. Training classifiers to identify TCP signatures in scientific workflows
    George Papadimitriou, Mariam Kiran, Cong Wang, and 2 more authors
    In 2019 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), 2019
  7. DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning
    Mariam Kiran, Bashir Mohammed, and Nandini Krishnaswamy
    In 2nd IFIP International Conference on Machine Learning for Networking (MLN’2019), 2019

2018

  1. Enabling intent to configure scientific networks for high performance demands
    Mariam Kiran, Eric Pouyoul, Anu Mercian, and 3 more authors
    Future Generation Computer Systems, 2018
  2. A performance modeling framework for lambda architecture based applications
    Marco Gribaudo, Mauro Iacono, and Mariam Kiran
    Future Generation Computer Systems, 2018
  3. Issues in gender diversity and equality in the UK
    Amel Bennaceur, Ampaeli Cano, Lilia Georgieva, and 3 more authors
    In Proceedings of the 1st International Workshop on Gender Equality in Software Engineering, 2018
  4. Calibers: A bandwidth calendaring paradigm for science workflows
    Fatma Alali, Nathan Hanford, Eric Pouyoul, and 6 more authors
    Future Generation Computer Systems, 2018
  5. Failure analysis modelling in an infrastructure as a service (Iaas) environment
    Bashir Mohammed, Babagana Modu, Kabiru M Maiyama, and 3 more authors
    Electronic Notes in Theoretical Computer Science, 2018
  6. Detecting Outliers in Network Transfers with Feature Extraction
    Nageswara S Rao, Mariam Kiran, Cong Wang, and 1 more author
    2018

2017

  1. Modeling and Simulation
    Mariam Kiran
    In Encyclopedia of Computer Science and Technology, 2017
  2. Agent-Based Modeling and Simulation with FLAME
    Mariam Kiran
    2017
  3. Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent-based Modelling
    Tatyana Eftonova, Mariam Kiran, and Mike Stannett
    International Journal of System Dynamics Applications (IJSDA), 2017
  4. A bandwidth friendly architecture for Cloud Gaming
    Muhammad Usman, Adnan Iqbal, and Mariam Kiran
    In 2017 International Conference on Information Networking (ICOIN), 2017
  5. INDIRA:‘Application Intent’network assistant to configure SDN-based high performance scientific networks
    Anu Mercian, Mariam Kiran, Eric Pouyoul, and 2 more authors
    In 2017 Optical Fiber Communications Conference and Exhibition (OFC), 2017
  6. Failover strategy for fault tolerance in cloud computing environment
    Bashir Mohammed, Mariam Kiran, Kabiru M Maiyama, and 2 more authors
    Software: Practice and Experience, 2017
  7. X-machines for Agent-based Modeling: FLAME Perspectives
    Mariam Kiran
    2017
  8. Towards a Cloud-based Machine Learning for Health Monitoring and Fault Diagnosis
    S Khan, T Yairi, and M Kiran
    In Asia Pacific Conference of the Prognostics and Health Management Society 2017, 8, 2017
  9. Performance modelling and analysis of an OpenStack IaaS cloud computing platform
    Kabiru Muhammad Maiyama, Demetres Kouvatsos, Bashir Mohammed, and 2 more authors
    In 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), 2017
  10. Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study
    Bashir Mohammed, Sibusiso Moyo, Kabiru M Maiyama, and 4 more authors
    arXiv preprint arXiv:1712.09152, 2017
  11. Classifying elephant and mice flows in high-speed scientific networks
    Anshuman Chhabra, and Mariam Kiran
    Proc. INDIS, 2017

2016

  1. Legal Issues Surrounding Connected Government Services: A Closer Look at G-Clouds
    Mariam Kiran
    In Cloud Computing Technologies for Connected Government, 2016
  2. Testing software services in cloud ecosystems
    Mariam Kiran, and Anthony Simons
    International Journal of Cloud Applications and Computing (IJCAC), 2016
  3. Optimising fault tolerance in real-time cloud computing IaaS environment
    Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, and 1 more author
    In 2016 IEEE 4th international conference on future internet of things and cloud (FiCloud), 2016
  4. An integrated virtualized strategy for fault tolerance in cloud computing environment
    Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, and 1 more author
    In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016

2015

  1. Bitcoin risk analysis
    Mariam Kiran, and MP Stannett
    2015
  2. Model-based testing for composite web services in cloud brokerage scenarios
    Mariam Kiran, and Anthony JH Simons
    In Advances in Service-Oriented and Cloud Computing: Workshops of ESOCC 2014, Manchester, UK, September 2-4, 2014, Revised Selected Papers 3, 2015
  3. Modelling Cities as a collection of TeraSystems–Computational challenges in Multi-Agent Approach
    Mariam Kiran
    Procedia Computer Science, 2015
  4. Analysis of cloud test beds using opensource solutions
    Bashir Mohammed, and Mariam Kiran
    In 2015 3rd International Conference on Future Internet of Things and Cloud, 2015
  5. Using agent-based VM placement policy
    Ashraf Al-Ou’n, Mariam Kiran, and Demetres D Kouvatsos
    In 2015 3rd International Conference on Future Internet of Things and Cloud, 2015
  6. Agent-based high-performance simulation of biological systems on the GPU
    Savas Konur, Mariam Kiran, Marian Gheorghe, and 2 more authors
    In 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015
  7. Lambda architecture for cost-effective batch and speed big data processing
    Mariam Kiran, Peter Murphy, Inder Monga, and 2 more authors
    In 2015 IEEE international conference on big data (big data), 2015
  8. Agent-based modelling as a service on amazon EC2: opportunities and challenges
    Mariam Kiran, Kabiru Maiyama, Haroon Mir, and 2 more authors
    In 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), 2015

2014

  1. Bitcoin risk analysis
    Mariam Kiran, and Mike Stannett
    2014
  2. Model-based testing in cloud brokerage scenarios
    Mariam Kiran, Andreas Friesen, Anthony JH Simons, and 1 more author
    In Service-Oriented Computing–ICSOC 2013 Workshops: CCSA, CSB, PASCEB, SWESE, WESOA, and PhD Symposium, Berlin, Germany, December 2-5, 2013. Revised Selected Papers 11, 2014
  3. Using FLAME toolkit for agent-based simulation: case study sugarscape model
    Mariam Kiran
    arXiv preprint arXiv:1408.3441, 2014
  4. 2014 14 th UK Workshop on Computational Intelligence (UKCI)
    Daniel Neagu, Mariam Kiran, and Paul Trundle
    2014
  5. A methodology for cloud security risks management
    Mariam Kiran
    Cloud Computing: Challenges, Limitations and R&D Solutions, 2014
  6. Experimental report on setting up a cloud computing environment at the University of Bradford
    Bashir Mohammed, and Mariam Kiran
    arXiv preprint arXiv:1412.4582, 2014
  7. Converting a Systems Dynamic Model to an Agent-based model for studying the Bicoid morphogen gradient in Drosophila embryo
    Mariam Kiran, and Wei Liu
    arXiv preprint arXiv:1412.5459, 2014
  8. Methodology for information management and data assessment in cloud environments
    Mariam Kiran, Gregory Katsaros, Jordi Guitart, and 1 more author
    International Journal of Grid and High Performance Computing (IJGHPC), 2014

2013

  1. Legal issues in clouds: towards a risk inventory
    Karim Djemame, Benno Barnitzke, Marcelo Corrales, and 5 more authors
    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013
  2. Large-scale modeling of economic systems
    Mike Holcombe, Simon Coakley, Mariam Kiran, and 8 more authors
    2013
  3. Dynamic audit service outsourcing for data integrity in clouds
    C Mutyalanna, P Srinivasulu, and M Kiran
    Int. J. Adv. Res. Comput. Eng. Technol.(IJARCET), 2013
  4. Threat methodology for securing scalable video in the Cloud
    Afnan Ullah Khan, Manuel Oriol, and Mariam Kiran
    In 8th international conference for internet technology and secured transactions (ICITST-2013), 2013
  5. D2. 1 State of the art and research baseline
    Y Verginadis, I Patiniotakis, G Mentzas, and 8 more authors
    Broker@ Cloud Project deliverable, 2013
  6. SECURING DISTRIBUTED ACCOUNTABILITY FOR DATA SHARING IN CLOUD COMPUTING
    N RAMESH, D ANILM, and M KIRAN
    International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2013

2012

  1. Flame: An approach to the parallelisation of agent-based applications
    AL Chin, AD Worth, AC Greenough, and 3 more authors
    Work, 2012
  2. Security risks and their management in cloud computing
    Afnan Ullah Khan, Manuel Oriol, Mariam Kiran, and 2 more authors
    In 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012
  3. Risk based SLA management in clouds: A legal perspective
    Tom Kirkham, Karim Djemame, Mariam Kiran, and 5 more authors
    In 2012 International Conference for Internet Technology and Secured Transactions, 2012
  4. Assuring data privacy in cloud transformations
    Tom Kirkham, Django Armstrong, Karim Djemame, and 5 more authors
    In 2012 IEEE 11th international conference on trust, security and privacy in computing and communications, 2012
  5. Managing security threats in Clouds
    M Kiran, AU Khan, M Jiang, and 3 more authors
    Digital Research, 2012
  6. Modelling complex biological systems using an agent-based approach
    Mike Holcombe, Salem Adra, Mesude Bicak, and 8 more authors
    Integrative Biology, 2012
    Bib

2011

  1. Requirements and architecture of a cloud broker
    Srijith K Nair, Pramod Pawar, Ali Sajjad, and 3 more authors
    OPTIMIS Work Package, 2011
  2. Towards a service lifecycle based methodology for risk assessment in cloud computing
    Mariam Kiran, Ming Jiang, Django J Armstrong, and 1 more author
    In 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, 2011
  3. Flame: A platform for high performance computing of complex systems, applied for three case studies
    Mariam Kiran, Mesude Bicak, Saeedeh Maleki-Dizaji, and 1 more author
    Acta Physica Polonica. Series B, Proceedings Supplement, 2011
  4. A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications
    Salem F Adra, Mariam Kiran, Phil McMinn, and 1 more author
    In 2011 IEEE Congress of Evolutionary Computation (CEC), 2011
  5. A risk assessment framework and software toolkit for cloud service ecosystems
    Karim Djemame, Django Armstrong, Mariam Kiran, and 1 more author
    Cloud computing, 2011

2010

  1. Investigating coevolutionary algorithms in agent-based economic systems
    Mariam Kiran
    The University of Sheffield, 2010
  2. FLAME: simulating large populations of agents on parallel hardware architectures
    Mariam Kiran, Paul Richmond, Mike Holcombe, and 3 more authors
    In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1, 2010

2008

  1. D3412 Providers Risk Assessment Tools Static Data
    Mariam Kiran, Ming Jiang, Karim Djemame, and 1 more author
    2008
  2. An Agent-Based software platform for modelling systems biology
    Salem F Adra, Simon Coakley, Mariam Kiran, and 1 more author
    University of Sheffield Epitheliome Project: Technical Report: University of Sheffield, 2008
  3. Validation and discovery from computational biology models
    Mariam Kiran, Simon Coakley, Neil Walkinshaw, and 2 more authors
    Biosystems, 2008

2007

  1. From Biology to Economics: A Case Study of the CaTS Model
    Mariam Kiran, Simon Coakley, and Mike Holcombe
    2007
  2. Agent Based Models Handling Intelligence Issues in Agents
    Mariam Kiran
    2007

2006

  1. Comparative analysis of hypercomputational systems
    Mariam Kiran
    Submitted in partial fulfillment of the requirements for the degree of MSc (Eng) in Advanced Software Engineering Department of Computer Science University of Sheffield, 2006