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About

Saad Ashraf is an educator and researcher whose work bridges engineering education, robotics, and computer science pedagogy. His scholarship focuses on two interconnected domains: improving undergraduate and pre-college STEM education through innovative pedagogical approaches, and advancing multi-robot systems research. Ashraf's most influential contribution examines senior capstone design experiences within ABET-accredited electrical and computer engineering programs, recognizing these courses as a critical transition point between academic study and professional practice, a paper that has garnered 15 citations. Alongside this, he has championed the use of educational robots as an engagement tool to combat declining computer science enrollment, demonstrating their effectiveness across middle school, high school, and undergraduate levels. On the research side, Ashraf developed collaborative multi-robot testbeds — notably CRIEP — designed to support both research in distributed robotics and hands-on programming education. His later work applying genetic algorithms to multi-robot path planning addresses computationally complex coordination challenges in autonomous systems. Through this dual focus, Ashraf has meaningfully contributed to making computer science and engineering more accessible and engaging at multiple educational levels, while simultaneously advancing practical robotics research with real-world applicability.