Khaled Bin Walid

Khaled Bin Walid

he/him

PhD Candidate in Electrical & Computer Engineering at Clarkson University

About Me

I am a Ph.D. candidate in Electrical and Computer Engineering at Clarkson University, Potsdam, New York. My research focuses on electricity market design, power system reliability, and renewable energy integration.

With three years of research experience and over five years of industry experience as a Senior Supply Chain Manager at Walton Hi-Tech Industries, I bring a unique perspective that bridges academic research with real-world applications in the evolving energy landscape.

Research Interests

  • Energy Market Design & Operation
  • Optimization Modeling
  • Energy Storage Scheduling & Renewable Energy Integration
  • Machine Learning for Demand and Wind Power Forecasting

Current Research

I am currently working on several collaborative and industry-sponsored projects:

  • Value of Lost Load Study (NYISO): Customizing VOLL estimates for individual utilities in New York
  • Operational Energy Adequacy (NYISO): Designing operational resource adequacy tools and risk-informed Capacity Analysis and Commitment Tools (CACT) tools
  • Grid Capacity Expansion (Avangrid): Evaluating social benefits of grid expansion
  • AIRU-WRF Project (DOE/NOWRDC): AI-powered offshore wind forecasting and grid integration studies with Rutgers University
  • REU Site on Resilient Power Systems (NSF): Mentoring summer students on uncertainty reserve design, Ramping need and resource adequacy modeling

Education

  • Ph.D. Candidate, Electrical & Computer Engineering, Clarkson University (2023 - Present)
  • M.Sc., Electrical & Computer Engineering, Clarkson University, GPA: 3.97/4.00 (2023 - 2025)
  • M.Sc., Electrical & Electronics Engineering, University of Dhaka (2016 - 2018)
  • B.Sc., Electrical & Electronics Engineering, University of Dhaka (2012 - 2015)

Technical Skills

  • Optimization & Power Systems: Gurobi, Electricity Market Design, Energy Storage Scheduling
  • Machine Learning & Forecasting: Data Analysis, Demand Forecasting, Wind Power Forecasting
  • Programming: Python, Julia, MATLAB, C/C++
  • Simulation Tools: PLEXOS, Simulink, PSCAD

Contact

Feel free to reach out to discuss research collaborations or opportunities.