marif.github.io

Personal website for Muhammad Adeel Arif

Muhammad Adeel Arif

Graduate Research Assistant | Power Systems Analyst/Engineer | Data-Driven Dynamics Researcher

📍 Burlington, VT, USA
📧 marif@uvm.com | adeelarif.vt@gmail.com
🔗 LinkedIn | GitHub | ORCID: 0000-0003-2914-3796

👋 About Me

I am a passionate researcher specializing in power systems, with a focus on data-driven modeling, optimization, and control of inverter-based distributed energy resources (DERs). My research interests revolve around applying Reinforcement Learning and Generative AI to power system dynamics, and I am currently exploring the control and dynamics of Grid-Forming and Grid-Following (GFM/GFL) inverters.

With a strong background in Electrical Engineering, I have over five years of combined experience in academia and industry, contributing to projects funded by the U.S. Department of Energy and international research collaborations.

🏫 Academic & Research Experience

• Graduate Research Assistant
  University of Vermont, Next-Gen Energy Systems Team (NEST-VT)
  Aug 2023 – Present

  • Developing data-driven models and reinforcement learning algorithms for GFM/GFL inverters.
  • Working on Hardware-in-the-Loop (HIL) validation on OPAL-RT simulators for real-time testing and modeling.

• Faculty Lecturer
  NED University of Engineering and Technology, Karachi, Pakistan
  Mar 2021 – Aug 2023

  • Taught courses in Control Systems, Power Electronics, and Programming.
  • Supervised undergraduate research projects focused on inverter-based power systems.

• Exchange Research Scholar
  Arizona State University, USAID Energy Research Program
  Aug 2019 – May 2019

  • Conducted research on machine learning applications in power system protection and control.

💡 Research Interests

• Inverter-based Resources (IBR) Dynamics
• Data-driven Modeling and Optimization
• Machine Learning and Reinforcement Learning in Power Systems
• Electromagnetic Transient (EMT) Simulations
• Grid-Forming/Grid-Following (GFM/GFL) Inverters
• Hybrid Energy Systems (HES)

📂 Selected Publications

• A. Arif, K. Imran, Y. Weng, and Q. Cui, “Islanding Detection for Inverter-Based Distributed Generation Using Unsupervised Anomaly Detection,” IEEE-Access, 2021. DOI: 10.1109/ACCESS.2021.3091293
• S. Shaikh, A. Arif, M. Aman, “Estimation of Technical Losses on Transmission Systems Using a Neural Network Prognosis Algorithm (NNPA)”, 2023.
• W. Jalil, W. Ishtiaque, A. Arif, “A Review of Islanding Detection Techniques for Inverter-Based Distributed Generation”, 2023.

🎓 Education

• M.Sc. in Electrical Engineering (Power and Energy)
  University of Vermont, Burlington, VT, USA
  2023 – 2024

• M.Sc. in Electrical Power Engineering
  NUST, Islamabad, Pakistan
  2017 – 2021

• B.Sc. in Electrical Engineering
  NED University of Engineering and Technology, Karachi, Pakistan
  2011 – 2015

🛠️ Skills

• MATLAB, Simulink, Julia, Python
• OPAL-RT/RT-Lab, EMT Simulation
• Reinforcement Learning, Machine Learning, Deep Learning
• Inverter Control, Convex Optimization

🏆 Honors & Leadership

• Graduate Student Senator
  University of Vermont, Graduate Student Senate
  2023 – 2025
• Exchange Research Scholar
  USAID Energy Research Program, Arizona State University
  2019
• General Secretary
  IEEE PES USPCAS-E
  2017 – 2018

🎸 Hobbies & Extracurricular

• Member & Performer, NUST Music Society
• Organizer, CERN Virtual Visit Pakistan
• Gold Medalist, Lightweight Division, Karate Championship, South Pakistan

Feel free to reach out to me for research collaborations, academic discussions, or any power systems-related inquiries!