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