The Fowler School of Engineering is proud to announce the two recipients of this year’s Nachman Family Innovation Challenge. Candidates for this award must be enrolled in the MS in Electrical Engineering and Computer Science program, pursuing the thesis track, and developing research with ideas that advance the fields of engineering and computer science. This marks the third year the Fowler School of Engineering has offered the Nachman Family Innovation Challenge. 

Congratulations to Maha Bhatti ‘27 and Jonathan Terbush ‘27! Each candidate presented their research and presented data to an esteemed panel of judges through a competitive “Shark Tank” style model. 

“The Nachman Innovation award will cover a significant portion of my academic fees, allowing me to spend more time focusing on this project and producing original, substantial work,” shared Terbush.  

Terbush’s, research seeks to address the rapidly increasing energy demands of AI models via contribution to and development of low-power computational hardware. 

Bhatti’s research goals are to make early-stage system design space exploration faster, and more efficient. We are aiming to complement traditional simulations with machine learning predictions that in turn, will reduce computational costs, simulation time, and energy usage. 

Visit our MS in Electrical Engineering and Computer Science program page to learn more about our graduate program.