Anna Haywood

Dr. Anna Haywood is an interdisciplinary engineer and educator whose career bridges mechanical engineering, electrical systems, machine learning, and quantum computing. With over two decades of instructional experience across universities and community colleges, she designs collaborative, inclusive, and hands‑on learning experiences that integrate computation, data-driven methods, and real‑world engineering applications. She has also contributed work to SBIR grants and research publications. Her recent work includes developing Machine Learning and Quantum Machine Learning workshops for professional development and life sciences applications. Her hobbies include music, dancing, writing, and outdoor activities :)

Recent Professional Development & Teaching

• Faculty Associate, School of Mathematical & Natural Sciences, ASU West (2025–2025)
• Co-designer and Co-instructor, LSC 541: Advanced Biostatistics
• Designer & Facilitator, Machine Learning and Quantum Machine Learning Workshops
• Faculty Associate, School of Integrated Engineering (EEE 120), ASU West (2024–2026)
• Mathematics Full‑Time OYO Faculty, Glendale Community College (2020–2024)

Research & Industry Experience

• Lead researcher on NSF‑funded Data Center cooling and energy optimization projects
• Author of multiple peer‑reviewed publications on energy systems and thermal management
• Grant writer and engineering consultant for Phytofilter Technologies
• Engineering roles in renewable energy, 3D printing, and computational systems

Selected Publications

• Haywood, A. et al. (2015). CPU utilization, temperature, and thermal power relationships. Energy Conversion and Management.
• Haywood, A. et al. (2012). Thermal power and CPU tasking levels. ITherm Conference.
• Haywood, A. et al. (2012). Thermodynamic feasibility of waste‑heat‑driven absorption chillers. Energy Conversion and Management.