Mariam Kiran

Bio

I am a Computer Networking and AI Scientist and currently serve as Group Lead to ORNL’s Quantum Networking and Communications Group. My research focuses on 'Engineering Self-Driving Networks', exploring AI/ML solutions for improving network performance, flexibility and high-speed distributed data transfers for science. Involving themes of deep learning, software engineering and complex networks, I have developed solutions for optimizing data movement, TCP/IP protocols, learning controllers for Wide area network (WANs), wireless/5G (& Beyond) and Quantum networked devices. 

My research impacts DOE’s infrastructure used for high-energy physics, neutron science, materials science, biology, ecology, smart grids and nuclear energy applications
 

Awards

• 2021 Rising Star in Networking and Communications (ACM N2Women)
• 2017 US Department of Energy (DOE) Early Career Award
• 2016 UK Royal Society Scientist at Westminister
• 2007 Fretwell Downing Prive in Engineering

Professional Service

• Programme Committee for CCGrid, Supercomputing, IPDPS (since 2019)
• INDIS Committee by Scinet (since 2021)
• Fellowship co-chair for N2Women for improving women researchers at Networking Conferences (2018-2020)
• Associate Editor, IEEE Networking Letters
• Elected member of COMSES Network for OpenABM (agent-based modelling) at Arizona State University.
• Developer for FLAME (Agent-based modelling framework) used World-wide
• Programme Committee duties at SciPy2018-2019, SC17, ICML workshop 2018
• Reviewer for proposals submitted to NSF and EU
• Instigated the ACM-Women professional chapter for UK

Professional Affiliations

• IEEE Senior Member
• ACM Member
• Member of British Computer Society

Trademarks and Patents

• Data driven, machine learning augmented dynamic path optimization, 2021