Shana Moothedath

Post-doctoral researcher, Network Security Lab

Shana Moothedath 

I am a postdoctoral research scholar in Network Security Lab at University of Washington, Seattle working with Prof. Radha Poovendran & Prof. Linda Bushnell. I recently obtained my Ph.D. from Deaprtment of Electrical Engineering at Indian Institute of Technology Bombay where I was supervised by Prof. Prasanna Chaporkar & Prof. Madhu N. Belur. My current research is in the intersection of security, control, machine learning, game theory, and protocols.

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Curriculum vitae

Contact

Network Security Lab (Room No. 437),
Department of Electrical and Computer Engineering,
University of Washington,
Seattle, Washington-98195, USA.

Email: sm15@uw.edu
          

Research Interests

  • Network Security Analysis

  • Structural Analysis of Control Systems

  • Applications of Systems theory to Complex Networks

  • Applications of Graph Theory to Systems and Control

  • Matching/Allocation Problem

  • Combinatorial Optimization

  • Educational Assessment

Educational Background

Teaching assistant for:

  • 2017-18

    • Autumn: (EE 640) Multivariable Control Systems

    • Spring: (EE 636) Matrix Computations

  • 2016-17

    • Autumn: (EE 640) Multivariable Control Systems

    • Spring: (EE 613) Nonlinear Dynamical Systems

  • 2015-16

    • Autumn: (EE 640) Multivariable Control Systems

    • Spring: (EE 636) Matrix Computations

  • 2014-15

    • Autumn: (EE 101) Introduction to Electrical and Electronics Circuits

    • Spring: (EE 302) Control Systems

Work Experience

  • Research Intern (July 2013 - July 2014) at ISRO, VSSC, Trivandrum.

  • Teaching Assistant (July 2014 - July 2018) at Indian Institute of Technology Bombay.

  • Publications

    Journal Papers

    • Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Wenke Lee, and Radha Poovendran, “A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats”, Submitted. [arxiv preprint]

    • Kumar Yashashwi, Shana Moothedath, and Prasanna Chaporkar, “ Minimum Cost Input Selection for Strong Structural Controllability”, Submitted.

    • RaviTeja Gundeti, Shana Moothedath, and Prasanna Chaporkar, “Verification and Design of Resilient Closed-Loop Structured System ”, Submitted. [arxiv preprint]

    • Aishwary Joshi, Shana Moothedath, and Prasanna Chaporkar, “Minimum Cost Feedback Selection in Structured Systems: Hardness and Approximation Algorithm ”, Submitted. [arxiv preprint]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “Optimal Selection of Interconnections in Composite Systems for Structural Controllability ”, Submitted. [arxiv preprint]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “Approximating Constrained Minimum Cost Input-Output Selection for Generic Arbitrary Pole Placement in Structured Systems”, Automatica. [pdf]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “Optimal Selection of Essential Interconnections for Structural Controllability in Heterogeneous Subsystems”, Automatica, 2019. [pdf]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “ Sparsest Feedback Selection for Structurally Cyclic Systems with Dedicated Actuators and Sensors in Polynomial Time”, IEEE Transactions on Automatic Control, 2019. [pdf]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “Minimum Cost Feedback Selection for Arbitrary Pole Placement in Structured Systems”, IEEE Transactions on Automatic Control, vol. 63, no. 11, pages 3881-3888, 2018. [pdf]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “A Flow-Network Based Polynomial-Time Approximation Algorithm for the Minimum Constrained Input Structural Controllability Problem”, IEEE Transactions on Automatic Control, vol. 63, no. 9, pages 3151-3158, 2018. [pdf]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “Rapidly Mixing Markov Chain Monte Carlo Technique for Matching Problems with Global Utility Function”. [arxiv preprint]

    • Shana Moothedath , Prasanna Chaporkar, and Madhu N. Belur, “A Maximum Likelihood Based Offline Estimation of Student Capabilities and Question Difficulties with Guessing ”, Perspectives in Education, vol. 34, no. 4, pages 99-115, 2016. [pdf]

    Conference Papers

    • Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, and Radha Poovendran, “ Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning”, Submitted.

    • Dinuka Sahabandu, Shana Moothedath, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, and Radha Poovendran, “ Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers”, Submitted.

    • Shruti Misra, Shana Moothedath, Hossein Hosseini, Joey Allen, Linda Bushnell, Wenke Lee, and Radha Poovendran, “ Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge ”, Submitted.

    • Shana Moothedath, Kumar Yashashwi, Prasanna Chaporkar, and Madhu N. Belur, “Target Controllability for Structured Systems”, To appear in the proceedings of the IEEE European Control Conference (ECC), Naples, Italy, June 25-28, 2019.

    • Dinuka Sahabandu, Shana Moothedath, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, and Radha Poovendran, “A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching”, To appear in the proceedings of the IEEE American Control Conference (ACC), Philadelphia, USA, July 10-12, 2019.

    • Shana Moothedath, Prasanna Chaporkar, and Aishwary Joshi, “Optimal Network Topology Design in Composite Systems with Constrained Neighbours for Structural Controllability”, To appear in the proceedings of the IEEE American Control Conference (ACC), Philadelphia, USA, July 10-12, 2019.

    • Kumar Yashashwi, Shana Moothedath, and Prasanna Chaporkar, “Minimizing Inputs for Strong Structural Controllability”, To appear in the proceedings of the IEEE American Control Conference (ACC), Philadelphia, USA, July 10-12, 2019.

    • Shana Moothedath, Dinuka Sahabandu, Andrew Clark, Sangho Lee, Wenke Lee, and Radha Poovendran, “Multi-Stage Dynamic Information Flow Tracking Game”, in Springer proceedings of Conference on Decision and Game Theory for Security, Seattle, USA, October 29-31, 2018. [pdf]

    • Shana Moothedath, Prasanna Chaporkar, and Madhu N. Belur, “A Randomized Algorithm for the Minimum Cost Constrained Input Selection for State Space Structural Controllability ”, Proceedings of the IEEE European Control Conference (ECC), Limassol, Cyprus, June 12-15, 2018. [pdf]

    • Saurabh Kumar, Shana Moothedath , Prasanna Chaporkar, and Madhu N. Belur, “An MCMC based Course to Teaching Assistant Allocation”, Proceedings of the International Conference on Network, Communication and Computing (ICNCC), Kyoto, Japan, December 17-21, 2016. [pdf]

    • Shana Moothedath , Prasanna Chaporkar, and Madhu N. Belur, “A Maximum Likelihood Based Offline Estimation of Student Capabilities and Question Difficulties”, Proceedings of the 42nd International Association for Educational Assessment (IAEA) Conference, Cape Town, South Africa, August 21-26, 2016. [pdf]

    • Shana Moothedath, Renju Gangadharan and R. Letha Kumari, “On Board Trajectory Optimization of a Launch Vehicle with Splash Down Constraint”, Proceedings of the IEEE International Conference on Magnetics, Machines & Drives (AICERA/iCMMD), Kottayam, India, July 24-26, 2014. [pdf]

    Posters

    • Shana Moothedath,Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, and Radha Poovendran “Multi-Stage Dynamic Information Flow Tracking Game for Advanced Persistent Threats”, iREDEFINE Workshop,ECEDHA, 2019. [poster]

    • Shana Moothedath,Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, and Radha Poovendran “Multi-Stage Dynamic Information Flow Tracking Game”, Western USA ECE Departments Heads Association (WECEDHA), 2018, and Conference on Decision and Control (CDC), 2018. [poster]

    • Shana Moothedath,Saurabh Kumar, Prasanna Chaporkar, and Madhu N. Belur, “Solving Allocation Problems using Markov Chain Monte Carlo Technique”, Indian Control Conference (ICC), 2016. [poster]

    Thesis

    • Shana Moothedath, “Optimizing Structured Linear Time Invariant Systems: Complexity and Algorithms”, PhD Thesis, Dept. of Electrical and Electronics Engineering, Indian Institute of Technology Bombay, 2018. [pdf]