The mission of the E-RESILIENCY (Energy Reliability, Security, Stability, Resilience & Efficiency) Research Laboratory is to enhance power grid reliability, security (cyber and physical), stability, resilience, and efficiency and equip future generation of engineers with necessary tools and skill sets to work on emerging technologies.


Research Equipment

Research Equipment


   Dr. Mohammed Ben-Idris

    Ph.D., Electrical Engineering, Michigan State University, 2014

    M.Sc., Electrical Engineering, University of Benghazi, Libya, 2005

    B.Sc., Electrical Engineering, University of Benghazi, Libya, 1998

    Email: mbenidris@unr.edu



Graduate Students

   MD Kamruzzaman

    PhD. Student

    M.Sc., Lamar University, Texas

    Email: mkamruzzaman@nevada.unr.edu





   Michael Abdelmalak

    PhD. Student

    M.Sc., German University in Cairo, Egypt 

    MBA, German University in Cairo, Egypt 

    Email: mabdelmalak@nevada.unr.edu



   Narayan Bhusal

    PhD. Student

    M.Sc., University of Nevada, Las Vegas, Nevada

    Email: bhusalnarayan62@nevada.unr.edu




   Mukesh Gautam

    PhD. Student

    M.Sc., Tribhuvan University, Nepal

    Email: mukesh.gautam@nevada.unr.edu





   Phillip Pratt

    M.Sc. Student





Undergraduate Researchers

   Matthew Egan






   David Nicolas










   Michael Reed

     B.Sc., Electrical and Biomedical Engineering




   Benjamin Fritz

     B.Sc., Electrical and Biomedical Engineering; not at NV Energy





   Michelle Falcon Mujica

     B.Sc., Electrical and Biomedical Engineering; now at Eaton

   Jonathon Stauffer

     B.Sc., Electrical and Biomedical Engineering





   Antonio Robles

     B.Sc., Electrical and Biomedical Engineering





Prospective Students

Have questions about my research or how to get involved?

We are currently looking for excellent PhD students with strong interests in smart grid and renewable energy.  Students who meet the following requirements are encouraged to apply:

  • MSc degree in electrical engineering;
  • Good writing and communication skills and excellent academic records;
  • Good mathematical, analytical, and modeling skills;
  • Strong background in optimization and power system modeling and analysis;
  • Knowledge of programming in C/C++, Fortran, Python, and MATLAB.

    Please send your CV to: mbenidris@unr.edu and use the following subject line: “Prospective_PhD_Student


Ongoing Research Grants

National Science Foundation

CAREER: Reliability and Resilience Assurance of Cyber-physical Energy Systems. Thanks NSF

$500,000, March 2019 - February 2024 


Department of Energy

UNR Co-PI with NV Energy, Optimization of Excess Solar and Storage Capacity for Grid Services (in Negotiation). DOE, UNR share: $957,000 (Total: $5M) (04/2020-04/2023). Thanks DOE


National Science Foundation

Co-PI, Collaborative Research: Data-Driven Situational Awareness for Resilient Operation of Distribution Networks with Inverter-based distributed energy resources. Thanks NSF


NSF: Non-Academic Research Internships for Graduate Students (INTERN)

The funding under this award will support Michael Abdelmalak, PhD student, for internship at EnerNex LLC for six months; $55,000. Thanks NSF


NSF: Non-Academic Research Internships for Graduate Students (INTERN)

The funding under this award will support Narayan Bhusal, PhD student, for internship at Quanta Technology LLC for six months; $55,000. Thanks NSF



Completed Projects

NSF: Non-Academic Research Internships for Graduate Students (INTERN)

The funding under this award will support MD Kamruzzaman, PhD student, for internship at GEIRI North America for six months; $55,000. Thanks NSF


A Lyapunov Function Based Remedial Action Screening Tool Using Real-Time Data

A project funded by the U.S. Department of Energy, Award No. DE-OE0000625; Led by Dr. Joydeep Mitra, Michigan State University
  1. To develop an energy function based method of transient stability analysis that can be solved at real-time speed without the use of massively parallel computation resources. The energy function is used for assessing global stability as well as local stability along with the determination of basin of attraction of the equilibrium solutions. The equilibrium solution of the power system dynamical model was determined using robust multi-parameter homotopy method.

  2. To apply the method developed in (1) to perform remedial action screening at real-time speed. Also, develop research-grade algorithm implementing this feature.

  3. To validate the methods and algorithms, including real-time performance, developed in (1) and (2), on a large-scale real-time digital simulator (RTDS). For this purpose, we used the 14-rack RTDS facility at the Florida State University Center for Advanced Power Systems (FSU-CAPS); this facility is capable of emulating a three-phase power system with up to 286 buses. We used data from Southern California Edison (SCE) to build a suitable reduced-order model.

  4. To incorporate in the tool described in (2) above the capability to update system status in real time. In order to achieve this, we acquire, at the project sites in Michigan State University, streaming data from FSU-CAPS, over the internet, to emulate telemetered data. We used in-house research-grade state estimation programs to generate system state information for the purpose of updating the screening tool.

  5. To develop a visualization tool for operator interface. This tool incorporates basic functionality necessary to enable proof of concept demonstration of the tool possessing the features listed in (1), (2) and (4) above. The tool was developed by LCG Consulting.


Final Report