Michael A. Boateng

12th Floor Coda Tech Square

756 West Peachtree Street

Atlanta, GA 30332

I am a Ph.D. student in Electrical and Computer Engineering at Georgia Tech, which is ranked amongst the best engineering school in the U.S. I work as a Graduate Research Assistant in the Energy Division of the AI Institute for Advances in Optimization (AI4OPT), where I apply artificial intelligence and optimization techniques to enhance power grid reliability and efficiency.

My research focuses on developing novel machine learning approaches for Security-Constrained AC Optimal Power Flow (AC SCOPF), AC power flow feasibility restoration, and Volt/VAR optimization in large-scale transmission networks. I am supervised by Prof. Pascal Van Hentenryck and Prof. Daniel Molzahn at Georgia Tech, with additional mentorship from Dr. Russell Bent at Los Alamos National Laboratory (LANL) and Prof. Parikshit Pareek at IIT Roorkee.

Currently, I serve as a Graduate Research Consultant at the Electric Reliability Council of Texas (ERCOT), where I collaborate with engineers on machine learning solutions for contingency analysis using real-world operational data from the Texas grid. I also hold a Graduate Research Intern position at LANL, where I design end-to-end learning frameworks focused on embedding AC non-linearities to market clearing problems.

News

Aug 06, 2026	Won the Los Alamos National Lab’s Distinguished Student Performance Award 2026! 🏆🥇🎉🎊
Jul 10, 2026	Volunteered with STEM Santa Fe to help K–12 students build electronic guitars! 🎸⚡
May 15, 2026	Appointed to be the Chief of Staff for Georgia Tech Student Government! 🎉🎊
May 01, 2026	Selected for the Argonne Training Program on Extreme-Scale Computing (ATPESC)! 💻🏆
Apr 17, 2026	Received a return offer to intern at Los Alamos National Lab! 🎉🔬✨
Mar 26, 2026	Accepted into the GT Create-X startup program! 🚀✨
Jan 26, 2026	Two journal papers accepted to PSCC with 34.6% acceptance rate!
Aug 10, 2025	Finished my LANL internship in New Mexico!
Jul 15, 2025	Received my MSc degree from Georgia Tech!
Oct 15, 2024	Georgia Tech participates in DoE CyberForce Competition!
Mar 01, 2024	ECE researchers and students headline ISSCC 2024!
Nov 10, 2022	Ashesi student research team wins silver medal at competition in Paris!

Selected Publications

ArXiV

PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch

M.A. Boateng, R. Bent, S. Misra, and 3 more authors

ArXiv preprint, 2026

Preprint.

arXiv Bib PDF

@article{boateng2026pacr,
  title = {PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch},
  author = {Boateng, M.A. and Bent, R. and Misra, S. and Pareek, P. and Van Hentenryck, P. and Molzahn, D.K.},
  journal = {ArXiv preprint},
  year = {2026},
  note = {Preprint.},
  bib = {#},
}

PSCC

Towards AC Feasibility of DCOPF Dispatch

M.A. Boateng, R. Bent, S. Misra, and 3 more authors

Electric Power Systems Research, 2027

Presented at the 24th Power Systems Computation Conference (PSCC), June 8–12, 2026 | [Acceptance rate: 34.6% in 2026]

HTML arXiv Bib PDF

@article{boateng2025acfeasibility,
  title = {Towards AC Feasibility of DCOPF Dispatch},
  author = {Boateng, M.A. and Bent, R. and Misra, S. and Pareek, P. and Van Hentenryck, P. and Molzahn, D.K.},
  journal = {Electric Power Systems Research},
  volume = {262},
  pages = {113652},
  year = {2027},
  note = {Presented at the 24th Power Systems Computation Conference (PSCC), June 8–12, 2026 | [Acceptance rate: 34.6% in 2026]},
}

PSCC

Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices

S. Tong, M.A. Boateng, M. Tanneau, and 1 more author

Electric Power Systems Research, 2027

Presented at the 24th Power Systems Computation Conference (PSCC), June 8–12, 2026 | [Acceptance rate: 34.6% in 2026]

HTML arXiv Bib PDF

@article{tong2025voltvar,
  title = {Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices},
  author = {Tong, S. and Boateng, M.A. and Tanneau, M. and Van Hentenryck, P.},
  journal = {Electric Power Systems Research},
  volume = {263},
  pages = {113780},
  year = {2027},
  note = {Presented at the 24th Power Systems Computation Conference (PSCC), June 8–12, 2026 | [Acceptance rate: 34.6% in 2026]},
}

FDAC

Physics-Informed Dynamic State Estimation for Current Transformers Using Graph Neural Networks

M.A. Boateng, G. Gauderman, and N. Uwamahoro

In Proceedings of the Fault and Disturbance Analysis Conference (FDAC), 13th–14th April, 2026

HTML Bib PDF

@inproceedings{boateng2026physics,
  title = {Physics-Informed Dynamic State Estimation for Current Transformers Using Graph Neural Networks},
  author = {Boateng, M.A. and Gauderman, G. and Uwamahoro, N.},
  booktitle = {Proceedings of the Fault and Disturbance Analysis Conference (FDAC), 13th–14th April},
  year = {2026},
}

KPEC

Classifying Reactive Power Control Laws of Behind-the-Meter Solar Photovoltaic Inverters

R. Asiamah, S. Talkington, M. Boateng, and 3 more authors

In Proc. IEEE Kansas Power and Energy Conf. (KPEC), 2025

HTML Bib PDF

@inproceedings{asiamah2025classifying,
  title = {Classifying Reactive Power Control Laws of Behind-the-Meter Solar Photovoltaic Inverters},
  author = {Asiamah, R. and Talkington, S. and Boateng, M. and Vanin, M. and Geth, F. and Molzahn, D.},
  booktitle = {Proc. IEEE Kansas Power and Energy Conf. (KPEC)},
  year = {2025},
}