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Mariam Kiran

Computational Research Division

Lawrence Berkeley National Lab


Bldg 59, Rm:3058B

1 Cyclotron Road, ESnet/CRD

Berkeley, California, 94720

Email: mkiran@lbl.gov



My research is focused on automating and improving usage of distributed networks and related facilities, to enable high-performance science applications like astrophysics and bioinformatics. It intersects between machine learning, control and optimization and complex systems research.

Current focus includes:

  • Real-time machine learning
  • Decentralized machine learning for distributed agents or devices (network, edge)
  • Intent-based networking
  • Reinforcement and near real-time agent reaction for networks
Before moing to the US, I investigated scaling techniques on HPC grid, GPUs and (mostly) Cloud computing for data-intensive simulations and science applications. I was involved with testing and developing parallelizing platforms for e-science Grids at Rutherford Appleton Labs (Oxford), Amazon AWS and OpenStack.


Selected Awards/Positions

  • Received the DOE Early Career Award 2017-2022
  • Royal Society Award for Researcher in Residence at Westminster (UK Parliament) 2016
  • Fully Funded PhD award 2007-2010 (University of Sheffield, UK)
  • FretWell Downing Prize across Engineering Faculty 2007 (University of Sheffield, UK)
  • EU reviewer for Marie Sklodowska-Curie fellowships and Horizon2020 ICT calls
  • Elected board member with the CoMSES Network for OpenABM models serving for developing open agent-based models and frameworks
  • One of the developers of the FLAME framework which automatically parallelizes complex simulation models on Grids and GPUs (www.flame.ac.uk)
  • ACM member and currently fellowship co-chair for N2Women supporting women in networking

Recent Professional Activities

  • Organizing ICML workshop: deep and machine learning techniques for Safety Critical Systems (DISE)
  • Program committee of SciPy 2018 (Scientific Computing with Python 2018). Submit papers: https://easychair.org/conferences/?conf=scipy2018
  • Invited Program Commitee: First International Workshop on Scalable Network Traffic Analytics (SNTA’18), held in conjunction with the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), Vienna, Austria, July 2-5, 2018. (see for details http://icdcs2018.ocg.at/). Submission deadline: March 28, 2018.

Press

Job Openings

Positions are available for a postdoc and students to work in area of machine learning and networks. Please email "mkiran@lbl.gov" if interested.

  • Machine Learning Postdoctoral Scholar (ref 84231): Apply Position is now closed.


News

  • Nov, 2017: PostDoc position advert is up.
  • Aug, 2017: Received DOE Early Career Award for "Large-scale deep learning for intelligent networks".
  • Aug, 2017: FLAME book has been published by Taylor and Francis Publishing Group: "X-Machines for Agent-Based Modeling: FLAME Perspectives" Ready to buy on Amazon! (Link) flame-picture