Michael Zargham

According to our database, Michael Zargham authored at least 30 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Decentralised Governance for Autonomous Cyber-Physical Systems.

Kelsie Nabben, Hongyang Wang, Michael Zargham

CoRR, 2024

2023

Open Problems in DAOs.

Joshua Z. Tan, Tara Merk, Sarah Hubbard, Eliza R. Oak, Joni Pirovich, Ellie Rennie, Rolf Hoefer, Michael Zargham, Jason Potts, Chris Berg, Reuben Youngblom, Primavera De Filippi, Seth Frey, Jeff Strnad, Morshed Mannan, Kelsie Nabben, Silke Noa Elrifai, Jake Hartnell, Benjamin Mako Hill, Alexia Maddox, Woojin Lim, Tobin South, Ari Juels, Dan Boneh

CoRR, 2023

2022

Permissionlessness.

Kelsie Nabben, Michael Zargham

Internet Policy Rev., 2022

2021

Challenges and Approaches to Scaling the Global Commons.

Felix Fritsch, Jeff Emmett, Emaline Friedman, Rok Kranjc, Sarah Manski, Michael Zargham, Michel Bauwens

Frontiers Blockchain, 2021

Token Economics in Real Life: Cryptocurrency and Incentives Design for Insolar's Blockchain Network.

Henry M. Kim, Marek Laskowski, Michael Zargham, Hjalmar K. Turesson, Matthew Barlin, Danil Kabanov

Computer, 2021

2020

Evidence Based Decision Making in Blockchain Economic Systems: From Theory to Practice.

Marek Laskowski, Michael Zargham, Hjalmar K. Turesson, Henry M. Kim, Matt Barlin, Danil Kabanov, Eden Dhaliwal

CoRR, 2020

On modeling blockchain-enabled economic networks as stochastic dynamical systems.

Zixuan Zhang, Michael Zargham, Victor M. Preciado

Appl. Netw. Sci., 2020

Economic Games as Estimators.

Michael Zargham, Krzysztof Paruch, Jamsheed Shorish

Proceedings of the 2nd International Conference on Mathematical Research for Blockchain Economy, 2020

From Curved Bonding to Configuration Spaces.

Michael Zargham, Jamsheed Shorish, Krzysztof Paruch

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2020

2019

Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar Blockchain Network.

Marek Laskowski, Henry M. Kim, Michael Zargham, Matt Barlin, Danil Kabanov

CoRR, 2019

2018

A State-Space Modeling Framework for Engineering Blockchain-Enabled Economic Systems.

Michael Zargham, Zixuan Zhang, Victor M. Preciado

CoRR, 2018

2015

Bio-Inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks.

Victor M. Preciado, Michael Zargham, Cameron Nowzari, Shuo Han, Masaki Ogura, George J. Pappas

CoRR, 2015

2014

Optimal Resource Allocation for Network Protection Against Spreading Processes.

Victor M. Preciado, Michael Zargham, Chinwendu Enyioha, Ali Jadbabaie, George J. Pappas

IEEE Trans. Control. Netw. Syst., 2014

Accelerated Dual Descent for Network Flow Optimization.

Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie

IEEE Trans. Autom. Control., 2014

Discounted integral priority routing for data networks.

Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie

Proceedings of the IEEE Global Communications Conference, 2014

Worst-case scenarios for greedy, centrality-based network protection strategies.

Michael Zargham, Victor M. Preciado

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

A convex framework to control spreading processes in directed networks.

Victor M. Preciado, Michael Zargham, David Sun

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

On convergence rate of Accelerated Dual Descent Algorithm.

Rasul Tutunov, Michael Zargham, Ali Jadbabaie

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Traffic Control for Network Protection Against Spreading Processes.

Victor M. Preciado, Michael Zargham, David Sun

CoRR, 2013

Optimal Resource Allocation for Network Protection: A Geometric Programming Approach.

Victor M. Preciado, Michael Zargham, Chinwendu Enyioha, Ali Jadbabaie, George J. Pappas

CoRR, 2013

Accelerated backpressure algorithm.

Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie

Proceedings of the 2013 IEEE Global Communications Conference, 2013

Traffic optimization to control epidemic outbreaks in metapopulation models.

Victor M. Preciado, Michael Zargham

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Accelerated dual descent for constrained convex network flow optimization.

Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Optimal vaccine allocation to control epidemic outbreaks in arbitrary networks.

Victor M. Preciado, Michael Zargham, Chinwendu Enyioha, Ali Jadbabaie, George J. Pappas

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Network optimization under uncertainty.

Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Game theoretic analysis of customer subscription decisions in networks with positive externality.

Jaelynn Oh, Michael Zargham, Xuanming Su, Ali Jadbabaie

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A distributed line search for network optimization.

Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie

Proceedings of the American Control Conference, 2012

2011

On dual convergence of the distributed Newton method for Network Utility Maximization.

Ermin Wei, Michael Zargham, Asuman E. Ozdaglar, Ali Jadbabaie

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Accelerated dual descent for network optimization.

Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie

Proceedings of the American Control Conference, 2011

2009

A distributed newton method for network optimization.

Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham

Proceedings of the 48th IEEE Conference on Decision and Control, 2009