Mario Simoni

Mario Simoni serves as Professor and Head of the Department of Electrical and Computer Engineering at Rose-Hulman Institute of Technology, where he leads academic initiatives and maintains an active research and teaching profile.

His educational background includes:

• PhD in Electrical and Computer Engineering from Georgia Institute of Technology (2002)
• MS in Electrical and Computer Engineering from Georgia Institute of Technology (1996)
• BS from Parks College of St. Louis University (1994)

Dr. Simoni's research centers on revolutionizing engineering education through systems perspective development and pedagogical innovation. His work bridges theoretical foundations with practical applications in signal processing, integrated circuit design, and neural systems modeling. He pioneers active learning methodologies including collaborative workshops and hands-on projects to transform student engagement in mathematical and theoretical courses.

His recent publications (2007-2016) reveal a consistent focus on educational transformation across multiple engineering disciplines. The interdisciplinary nature of his work connects electrical engineering fundamentals with neuroscience applications and K-12 outreach initiatives, demonstrating how educational technology and workshop-based instruction can overcome traditional learning barriers in complex subjects.

While no specific awards are documented in the source material, his sustained contributions to engineering education through high-impact publications in IEEE Transactions and ASEE conferences establish significant scholarly recognition.

Dr. Simoni actively mentors students through research projects including an ultrasound-based remote controlled car, campus-wide power management systems, and neural simulation CPU development. His dedication to student-centered learning extends to K-12 outreach programs that introduce engineering concepts to younger audiences through hands-on electricity experiments.

His research portfolio indicates leadership in system engineering projects and neural modeling initiatives, though specific laboratory structures are not detailed in the available documentation.