Jordan Malof

Research Interests

Application of advanced machine learning and computer vision techniques to real-world problems

Bio

I work with domain experts across different fields to solve challenging real-world problems through the application or development of advanced signal processing, computer vision, machine learning (especially deep learning) methods to real-world problems.  Recently, my work has spanned topics such as remote sensing, energy systems, and materials science.   My work has recently been featured in premiere machine learning conferences (e.g., NeurIps, ICLR) and computer vision conferences (e.g., WACV).

Education

• Ph.D. Duke University, 2015

Positions

• Adjunct Assistant Professor in the Department of Electrical and Computer Engineering

Awards, Honors, and Distinctions

• Bass Connections Award for Outstanding Leadership. Duke University. 2022

Courses Taught

• ECE 292: Projects in Electrical and Computer Engineering
• ECE 392: Projects in Electrical and Computer Engineering
• ECE 493: Projects in Electrical and Computer Engineering
• ECE 494: Projects in Electrical and Computer Engineering
• EGR 393: Research Projects in Engineering
• ENERGY 395T: Bass Connections Energy & Environment Research Team
• ENERGY 795T: Bass Connections Energy & Environment Research Team