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Katherine Davis

Texas A&M University College of Engineering

Research Group

Staff

Mohamed Sadok Massaoudi

  • Senior Research Engineer I
  • Ph.D. in Electrical and Computer Engineering, Texas A&M University, 2024
  • Ph.D. in Electronics, National Institute of Applied Sciences and Technology (INSAT), University of Carthage, 2021
  • M.Eng. in Energy Engineering, National Engineering School of Monastir (ENIM), University of Monastir, 2018
  • Undergraduate degree in Science, Preparatory Institute for Engineering Studies of Nabeul (IPEIN), University of Carthage, 2015
  • Power System and R&D Engineer, several companies, Tunisia (2018-2019)
  • Research interests: Cyber-physical systems modeling, power systems stability and optimization, machine learning and deep learning in smart grids, grid cybersecurity, renewable energy integration, distributed systems, and microgrids.
  • Google Scholar: [Scholar Page Link]
  • Personal Website: [Personal Page Link]

Xiang Huo

  • Postdoctoral Researcher
  • Ph. D. in Electrical and Computer Engineering, The University of Utah, 2024
  • M.S. in Control Science and Engineering, Harbin Institute of Technology, 2019
  • B.S. in Automation, Harbin Institute of Technology, 2017
  • Research interests include scalability, privacy, and security in optimizing and learning the operation of multi-agent systems, with a focus on their applications in cyber-physical power systems.
  • Personal Website: https://xianghuoweb.com

 


Monique Glover

  • Program Specialist II, Electrical & Computer Engineering, Texas A&M University
  • Administrative support staff for Dr. Kate Davis (January 2025 – present)
  • 14 year Tenure as Texas A&M University administrative staff
  • Personal interests include yoga, jogging, hiking, spending time with family

 

 

 


Students

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

  • Ph.D. 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.

 


Andrew Maehl

  • B.S. in Electrical Engineering form Montana State University, 2021
  • Research Interests: Power systems, and Cyber-Physical reliance

 

 

 

 


Puneesh Kapoor

  • B.S. in Electrical Engineering at Texas A&M University, 2027
  • Research interests include grid cybersecurity, cyber-physical power systems, and renewable energy

 

 

 

 

 


Madeline Kate Hugas

  • B.S. on Electrical Engineering at Texas A&M University 2028
  • Research Interests: Cyber-physical power systems, smart grids, cyber-physical resilience
  • Personal Interests: Digital art, sewing, and reading

 

 

 

 

 


Sai Srinivas Veeranadham

Sai Srinivas Veeranadham

  • M.Eng. in Cybersecurity at Texas A&M University, Class of 2026
  • B.S. in Computer Science and Engineering at Amrita School of Computing, Class of 2022
  • Research Interests: Cloud security, DevSecOps, automation, and the use of AI in cybersecurity

 

 

 

 

 


Morgan Roberts

  • M.Eng. in Cybersecurity at Texas A&M University, Class of 2026
  • B.S. in Computer Science at Texas A&M Univeristy, Class of 2023
  • Research Interests: Cyber-physical power systems, Cloud Infrastructure, Network Security and Protocols

 

 

 

 


Research Group Alumni

Mary Sue Bitar

  • M.S. student in Electrical Engineering at Texas A&M University, 2024
  • 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
  • Thesis: Common Operating Picture Enhancement for Cyber-Physical Data and Under Contingencies

 

 


Ethan Cope

  • B.S. in Electrical Engineering at Texas A&M University, 2023
  • Research interests include testbed automation and orchestration
  • Personal Website: https://ethan-cope.github.io/
  • Research interests include power system cyber-physical resilience, situational awareness and security using intelligent techniques
  • Undergraduate Thesis: A Common Automation Framework for Cyber-Physical Power System Studies

 

 


Abdulrahman Takiddin

  • Ph.D., Electrical and Computer Engineering, Texas A&M University, 2023
  • 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
  • Thesis: Machine Learning-Based Approaches for Detection of Cyberattacks in Smart Power Grids

 

 


Amarachi Umunnakwe

  • Ph. D. in Electrical and Computer Engineering at Texas A&M University, 2023
  • 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.
  • Thesis: Resilience-Oriented Risk Reduction in the Cyber-Physical Power Grid for Next Generation Energy Management

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

 


Osman Boyaci

  • Ph. D. in Electrical and Computer Engineering at Texas A&M University, 2022
  • 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
  • Thesis: Graph Neural Network-Based Cybersecurity of Smart Grids

 


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

 

 


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

 

 

 


Cihat Kececi
  • Ph.D., Electrical Engineering, Texas A&M University, 2024
  • Thesis: New contributions and applications in federated learning

Deepanjali Chowdhury
  • Undergraduate Research Scholars Program at Texas A&M University, 2024
  • Thesis: Predicting and Optimizing the Power Performance of Dye Sensitized Solar Cells Using Machine Learning Techniques

Vinicius Bobato, Hunter James, Jose Velasco, Britt Beadle, Benjamin Allread
  • ESET 420 Capstone at Texas A&M University, 2023
  • Project: ScaSol ICS Lab Bench

Kolten Knesek
  • M.S in Electrical Engineering at Texas A&M University, 2021
  • Thesis: Using the IEEE C37.118 Protocol to Add Hardware in the Loop to the CYPRES Testbed

Patrick Wlazlo
  • M.S in Electrical Engineering at Texas A&M University, 2021
  • Thesis: Recreating wide area industrial control system network within an emulated environment

Tasha Gaudet
  • M.S in Electrical Engineering at Texas A&M University, 2020
  • Thesis: Firewall Configuration and Path Analysis for Smart Grid Networks

Megan Culler
  • Undergraduate Research Scholars Program at Texas A&M University, 2019
  • Thesis: Sensor Verification for Cyber-Physical Models of Power Systems

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

Links

  • SCORE
  • CYPRES
  • Testbed
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