Masoud Abbaszadeh

Masoud Abbaszadeh is a Principal Research Engineer at GE Research, located in Schenectady, New York. He has a robust background in engineering and research, primarily focusing on control systems, machine learning, and cyber-physical systems. His work involves pushing the boundaries of technology in these areas to enhance system resilience and performance.

Education

• B.Sc. in Electronics from Amirkabir University of Technology (1996-2000)
• M.Sc. in Systems Control from Sharif University of Technology (2000-2002)
• Ph.D. in Electrical and Computer Engineering from the University of Alberta (2004-2008), where he developed a unified framework for robust nonlinear estimation and output feedback control via multiobjective LMI optimization.

Professional Experience

• Principal Research Engineer at GE Research (May 2020 - Present): Leading advancements in control systems, machine learning, and signal processing.
• Senior Research Scientist - Technical Lead at GE Research (April 2019 - May 2020): Managed a team focused on developing technologies for cyber-physical resilience.
• Lead Control Systems Engineer at GE Research (January 2013 - April 2019): Worked on diagnostics, prognostics, and intelligent systems.
• Earlier roles include positions at Maplesoft and TAM Iran Khodro, where he engaged in software development, powertrain modeling, and automation in automotive manufacturing.

Skills and Interests

Abbaszadeh's research interests encompass:

• Estimation, Detection & Prediction Theory
• Machine Learning
• Control Systems
• Complex Systems Modeling & Simulation

He has also contributed to projects involving advanced HVAC systems and human factors through UX design based on eye-tracking data analysis.

Certifications

He holds several certifications, including:

• First Aid and CPR/AED from the American Heart Association
• Lean Six Sigma Green Belt from GE Global Research
• Specialized training in Jet Engine and Propulsion Systems for Engineers from GE Aviation.

Masoud Abbaszadeh's extensive experience and educational background position him as a key contributor to advancements in engineering, particularly within the realms of control systems and machine learning at GE Research.1