Madlen Simon AIA is an experienced
architect, researcher, educator, and
scholar in the area of design - design
thinking, design education, design of
buildings, and the application of
design to issues such as
sustainability and community health.
Professor Simon graduated from
Princeton University with Bachelors
and Masters degrees in Architecture.
Professor Simon began her academic
career in 1991, after 14 years
practicing architecture in two
world-renowned architecture firms,
Skidmore, Owings & Merrill and
Edward Larrabee Barnes Associates, as
well as leading her own firm, Simon
Design. Simon's broad experience in
design practice ranges in scale from
corporate campus master planning to
product design, with a particular
focus on residential architecture. At
the University of Maryland, she is
Professor in the School of
Architecture, Planning, and
Preservation. Professor Simon’s
research and teaching centers on
design thinking, the iterative process
of integrating human experience into
problem solving and finding innovative
approaches to support how people use
and interact with their environment.
She has led dozens of community-based
master planning and design projects
funded by communities and non-profit
organizations, and undertaken with
graduate students and faculty
colleagues, bridge between teaching,
research, and practice, including “A
New Vision for Midtown” for the
College Park City-University
Partnership and “Glen Echo Park Master
Plan” for the Glen Echo Park
Partnership for Arts and Culture. She
was co-Principal Investigator on
WaterShed, the University of
Maryland's first prize-winning entry
into the Department of Energy's Solar
Decathlon 2011. In 2015, Simon
established ARCH601 *Topical
Studio: Bridging the Gap*, a Global
Classrooms Initiative course in
collaboration with Al-Nahrain
University in Baghdad, which was
awarded *Architect Magazine’s* Studio
Prize in 2019. Her recent research, in
collaboration with Assistant Professor
Ming Hu, combines an immersive virtual
environment (VR) and
electroencephalogram (EEG) as a
promising tool to evaluate alternative
options during the early design stage
of a project. This work is funded by
an AIA Upjohn Research Initiative
Grant.