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| Mariam Kiran is a lecturer in the Department of Electrical Engineering and Computing at the University of Bradford (UK) and a research fellow at the University of Sheffield. She is a member of the British Computing Society and the Women’s Engineering Society. She joined Bradford after several years of research and teaching at the University of Sheffield and the University of Leeds (UK). She is actively involved in various research activities in cloud computing; agent-based modeling, particularly using FLAME (an agent-based modeling framework for complex systems); developing testing and verification techniques; using game theory, multi-objective optimization, and agent learning; and studying economic, sociologic, and biologic modeling using various computational techniques. She is particularly focused on web services, brokering models, trust, risk, security, and optimization aspects in the cloud, as well as developing cloud applications. She holds a PhD in co-evolutionary learning and optimization in agents focusing on economic market models. Kiran has branched out of university research and has applied her ideas to various industry applications, distributing most of her software as open-source. She is involved in research on smart cities, and is a consultant on EU projects for Telsec Corporation. She has been a reviewer for Computing Reviews since 2012. |
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1 - 10 of 34
reviews
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On the robustness of domain-independent planning engines: the impact of poorly-engineered knowledge Vallati M., Chrpa L. K-CAP 2019 (Proceedings of the 10th International Conference on Knowledge Capture, Marina Del Rey, CA, Nov 19-21, 2019) 197-204, 2019. Type: Proceedings
Planning engines are important not only to help us plan for what may fail or succeed in the real world, but also to provide what-if scenarios to build better robust engines. This paper talks about various ideas to help describe engines...
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Dec 18 2020 |
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Zooming in on wide-area latencies to a global cloud provider Jin Y., Renganathan S., Ananthanarayanan G., Jiang J., Padmanabhan V., Schroder M., Calder M., Krishnamurthy A. SIGCOMM 2019 (Proceedings of the ACM Special Interest Group on Data Communication, Beijing, China, Aug 19-23, 2019) 104-116, 2019. Type: Proceedings
The authors measure wide area network (WAN) latency from the viewpoint of a large cloud provider, Azure, by tracking the round-trip time (RTT) of transmission control protocol (TCP) connections. Presenting their tool BlameIt, the autho...
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Feb 27 2020 |
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The datacenter as a computer: designing warehouse-scale machines (3rd ed.) Barroso L., Hölzle U., Ranganathan P., Szefer J., Morgan&Claypool Publishers, San Rafael, CA, 2019. 207 pp. Type: Book (978-1-681734-33-0)
As machine learning becomes more popular and more responsible for managing our everyday lives, using it to manage data centers, to control the mammoth tasks engineers have to deal with, is only a natural evolution....
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Mar 29 2019 |
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Adaptive reallocation of cybersecurity analysts to sensors for balancing risk between sensors Shah A., Ganesan R., Jajodia S., Cam H. Service Oriented Computing and Applications 12(2): 123-135, 2018. Type: Article
Using alerts for cybersecurity is one of the most pressing challenges, both in networks and in general within the computing world. Although there has been a surge of monitoring techniques to catch attacks and secure systems, there are ...
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Nov 1 2018 |
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Reinforcement learning: with OpenAI, TensorFlow and Keras using Python Nandy A., Biswas M., Apress, New York, NY, 2018. 167 pp. Type: Book (978-1-484232-84-2)
The success of reinforcement learning (RL) in everything from AlphaGo to intelligent decision making for services in everyday life has made RL a hot topic. The concept has been around since the birth of artificial intelligence (AI) via...
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Oct 11 2018 |
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Forward delay-based packet scheduling algorithm for multipath TCP Le T., Bui L. Mobile Networks and Applications 23(1): 4-12, 2018. Type: Article
Multipath TCP (MPTCP) allows packets to be transmitted over multiple paths, “and hence utilizes the network resources more effectively than the traditional single-path [transmission control protocol, TCP].” However,...
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Jun 8 2018 |
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α-concave hull, a generalization of convex hull Asaeedi S., Didehvar F., Mohades A. Theoretical Computer Science 702 48-59, 2017. Type: Article
The calculation of the minima and maxima from convex hulls is an important research area in optimization, machine learning, and related fields. Mathematics and machine learning researchers have come up with innovative algorithms to qui...
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Apr 10 2018 |
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Space-time computing with temporal neural networks Smith J., Morgan & Claypool Publishers, San Rafael, CA, 2017. 242 pp. Type: Book (978-1-627059-48-0)
Experiments by DeepMind playing Go to beat humans have put neural networks into common news threads. These algorithms are being used for image and speech analysis, and they have shown a lot of promise in predicting and automating some ...
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Dec 27 2017 |
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Design optimization for security- and safety-critical distributed real-time applications Jiang W., Pop P., Jiang K. Microprocessors & Microsystems 52 401-415, 2017. Type: Article
Security and design for real-time systems is becoming more relevant today than ever before. This is mostly due to the technology revolution moving toward automation and optimization, fueled by computer algorithms and software....
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Dec 13 2017 |
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From word embeddings to document similarities for improved information retrieval in software engineering Ye X., Shen H., Ma X., Bunescu R., Liu C. ICSE 2016 (Proceedings of the 38th International Conference on Software Engineering, Austin, TX, May 14-22, 2016) 404-415, 2016. Type: Proceedings
Writing comments in our code is one of the main practices of software engineering. The authors use mapping to map the software comments to the code being described. The authors do a very good job talking about natural language processi...
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May 10 2017 |
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