Habib Arjmand Mazidi, Ph.D.

Education, Licensure and Certification (3)

Ph.D.: Civil Engineering, University of Kansas 2023

M.S.: Architectural Engineering, University of Kansas 2019

B.S/M.Arch.: Architecture, Yazd University 2005

Biography

Dr. Mazidi serves as an assistant professor in the Civil and Architectural Engineering and Construction Management Department at Milwaukee School of Engineering.

He earned an integrated B.S./M.Arch degree in architecture from Yazd University, Iran, setting the foundation for his academic journey. Dr. Mazidi furthered his studies with an M.S. in architectural engineering, specializing in lighting design, followed by a Ph.D. in civil engineering with a concentration on building energy performance, both obtained from the University of Kansas.
During his Ph.D., Dr. Mazidi made notable contributions to a Department of Energy funded project, focusing on researching thermal storage materials, particularly phase change materials. The project aimed at the retrofitting of occupied public buildings in the U.S., showcasing Mazidi's commitment to practical applications in sustainable engineering.

Beyond his academic pursuits, Mazidi brings valuable industrial experience as an architectural and lighting designer with Sakhtar-e-Yekom Inc in Iran. His dual role as both an educator and industry professional adds a dynamic perspective to his approach.
Dr. Mazidi's teaching experience spans roles as an adjunct and full-time faculty member, affiliating with various universities, including Sistan and Blouchestan University in Iran.

Areas of Expertise (4)

Sustainable Energy

Building Energy Performances

Thermal Energy Storage

Lighting Design

Accomplishments (3)

Award of Best Architectural Design, National Architecture Festival, University of Tehran, Iran (professional)

2002

Award of the Best Paper, National Architecture Festival, University of Tehran, Iran (professional)

2002

Award of the Best Paper, Forth Conference of Architecture and Urban Design, Yazd, Iran (professional)

2001

Affiliations (3)

• Illuminating Engineering Society (IES) : Member
• ASHRAE : Member
• IALD : Member

Languages (1)

• Persian

Social

Teaching Areas (3)

Design of Lighting Systems

The advanced design principles of building illumination systems, focusing on various lighting design techniques for different architectural contexts.

Materials and Methods

A study of the properties of construction materials, their methods of manufacturing, and methods of construction.

Principles of Electrical Engineering

An introductory electrical systems design course that presents basic concepts on the design and implementation of building power and lighting systems.

Research Interests (2)

Climate-based Small-scale Window Shading Systems

In many contemporary mid-rise and high-rise buildings, the significance of incorporating solar shadings is often overlooked due to the perceived complexity involved in their construction and maintenance as passive energy tools. Instead of the conventional combination of clear glass and shading systems, modern buildings tend to utilize solar glazing systems like Low-E glasses. This approach although prevents undesirable sunrays from entering spaces during summer but also blocks solar heat in winter, which could otherwise save heating energy. This research has the potential to pave the way for integrating these valuable architectural tools into modern buildings, aligning seamlessly with advancements in window systems, construction methods, and technology.

The Role of AI in Building Energy Simulation

EnergyPlus stands out as a robust energy modeling tool, capable of accurately predicting a building's energy consumption. It can function independently as an open-source standalone tool or seamlessly integrate with user-friendly interfaces like Design Builder. However, the development of a highly accurate energy model using the EnergyPlus engine can be both time-consuming and costly. The advent of AI introduces a promising avenue for the future of building energy simulation. This research explores various strategies to harness AI's potential in building energy modeling, aiming to pave the way for its integration and potential replacement of other complex energy software tools.