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Katherine Davis

Texas A&M University College of Engineering

Research Group

Staff

Eric Keller

  • Research Engineer
  • B. S. in Multi-disciplinary Engineering Technology, Texas A&M 2021
  • Research Areas include electrical grid simulation, cybersecurity, and machine learning

 

 

 


Kelly Nickinson

  • Program Specialist III, Electrical & Computer Engineering, Texas A&M University
  • Administrative support staff for Dr. Kate Davis (November 2022 – present)
  • B.S. in Recording Arts (Audio Engineering), Full Sail University, 2010
  • Personal interests include reading, audio editing, sound design, Foley, graphic design, cover design, art, and typography
  • Personal Portfolio: https://kellyfordart.myportfolio.com/

 

 

 


Students

Mary Sue Bitar

  • M.S. student in Electrical Engineering at Texas A&M University.
  • B.S. in Electrical Engineering, Texas A&M University, 2022.
  • Research interests include power system modeling and analysis, power system cyber-physical resilience, distributed energy resources,  and smart grids

 

 

 


Osman Boyaci

  • Ph. D. student in Electrical and Computer Engineering at Texas A&M University
  • M.S. in Computer Engineering in Istanbul Technical University, Istanbul, Turkey, 2017
  • B.S. in Computer Engineering (Double Major) in Istanbul Technical University, Istanbul, Turkey, 2013
  • B.S. in Electrical Engineering in Istanbul Technical University, Istanbul, Turkey, 2013
  • Research interests include machine learning and cybersecurity

 


Rhett Guthrie

  • Ph. D. student in Electrical and Computer Engineering at Texas A&M University
  • B.S. in Electrical Engineering and Applied Mathematics (Double Major) at Texas A&M University in 2021
  • Research interests include applied mathematics on power systems, and geomagnetic disturbances.

 

 

 


Khandaker Akramul Haque

  • Ph. D. student in Electrical and Computer Engineering at Texas A&M University
  • M.S. in Electrical and Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), 2020
  • B.S. in Electrical and Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), 2015
  • Research interests include power system cyber-physical resilience with machine learning
  • Personal website: https://akramwired.com

 


Leen Al Homoud

  • M.S. student in Electrical Engineering at Texas A&M University.
  • B.Sc. in Electrical Engineering, Texas A&M University, 2021.
  • Research interests include power system modeling and analysis, cyber-physical power systems, distributed energy resources, smart grids, and power electronics.

 

 

 


Shining Sun

  • Ph. D. student in Electrical and Computer Engineering at Texas A&M University
  • M.E. in Electrical and Computer Engineering, Texas A&M University, 2018
  • B.S. in Electrical and Computer Engineering, University of Missouri, Columbia, 2016
  • B.S. in Electrical Engineering, North China Electric Power University, Beijing, China, 2013
  • Research interests include power system cyber-physical resilience, situational awareness and system remediation solutions using intelligent techniques.

Abdulrahman Takiddin

  • Ph.D. Candidate, Electrical and Computer Engineering, Texas A&M University
  • M.Sc. in Data Analytics, Hamad Bin Khalifa University (2020)
  • B.Sc. in Information Systems, Carnegie Mellon University (2014)
  • Research areas: artificial intelligence, machine learning, cyber-physical systems, smart grid, cybersecurity, and medical informatics

 

 

 


Amarachi Umunnakwe

  • Ph. D. student in Electrical and Computer Engineering at Texas A&M University
  • M.S. in Electrical Engineering, University of Utah, 2020
  • B.Eng. in Electronic Engineering, University of Nigeria, Nsukka, Nigeria, 2016
  • Research interests include power system cyber-physical resilience, situational awareness and security using intelligent techniques.

 


Former Students

Abhijeet Sahu

  • Ph. D. in Electrical and Computer Engineering at Texas A&M University, 2022
  • M.S. in Electrical Engineering, Texas A&M University, 2018
  • B.Tech in Electronics and Communications, National Institue of Technology, India, 2011
  • Research interests include Network Security,  Power-Grid Critical Infrastructures,
    Cyber-Physical model building for intrusion detection and response
  • Thesis: Addressing Uncertainty in Cyber-Physical Power Systems – Modeling to Integration in Cyber-Physical Energy Management Systems

 


Hao Huang

  • Ph. D. in Electrical and Computer Engineering at Texas A&M University, 2022
  • M.S. in Electrical Engineering (Electric Power), University of Southern California, 2016
  • B.S. in Electrical Engineering, Harbin Institute of Technology, China, 2014
  • Research interests include power system resilience, power system situational awareness, cyber-physical security
  • Thesis: A Resilience-Oriented Approach for Power Network Design and Operation

 

 


Shashwat Tripathi

  • M.S. in Electrical Engineering (Power System) at Texas A&M University, 2022
  • B.Tech in Electrical Engineering from Madan Mohan Malviya University of Technology, India, 2019
  • Research interests include power system resilience, cyber-physical modeling, and security of Distributed Energy Resources
  • Thesis:  A study of Cyber-Attack Resilience in a DER-Integrated Synthetic Grid Based on Industry Standards and Practices

 

 


Zeyu Mao

  • Ph. D. at Texas A&M University working on interactive simulation development
    and cyber-physical system modeling, 2022
  • M.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2017
  • B.S. in Electrical Engineering from Chongqing University, China in 2015
  • Personal website
  • Thesis: Improving Power System Resilience Against High-Impact-Low-Frequency Events

 

 


Kaushik Raghunath
  • M.S in Electrical Engineering at Texas A&M University, 2019
  • Thesis: Analysis of Power Systems with Select Cyber and Physical Contingencies

Arnav Kundu
  • M.S in Electrical Engineering at Texas A&M University, 2019
  • Thesis: Deep Learning Techniques for Detection of False Data Injection Attacks on Electric Power Grid

Ghandhali Prakash Juvekar
  • M.S in Electrical Engineering at Texas A&M University, 2019
  • Thesis: The Need and Formulation of a Modified State Estimator for Geomagnetic Disturbance Events

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