Akil Narayan

Akil Narayan is an expert in the fields of numerical analysis and scientific computing, serving as an Assistant Professor in the Mathematics Department at the University of Massachusetts Dartmouth. With a robust academic background, Narayan has dedicated his career to advancing the understanding and application of mathematical principles in computational contexts. Narayan's academic journey began at Northwestern University, where he earned a Bachelor's degree in Electrical Engineering, Engineering Sciences, and Applied Mathematics in 2003. This multidisciplinary foundation provided him with a unique perspective on the integration of engineering and mathematics, which he further explored during his doctoral studies. In 2009, he completed his Ph.D. in Applied Mathematics at Brown University, where his research focused on developing innovative computational methods. Following his doctoral studies, Narayan expanded his research experience as a postdoctoral researcher at Purdue University from 2009 to 2012. During this time, he collaborated with leading experts in the field, contributing to significant advancements in scientific computing techniques. His work at Purdue laid the groundwork for his future research endeavors and solidified his reputation as a rising scholar in applied mathematics. At the University of Massachusetts Dartmouth, Narayan continues to push the boundaries of scientific computing and numerical analysis. His research interests are centered around developing efficient algorithms and computational models that address complex mathematical problems. Through his teaching and mentorship, he inspires the next generation of mathematicians and engineers, fostering a collaborative environment that encourages innovation and critical thinking. In addition to his academic pursuits, Narayan is actively involved in the broader mathematical community, participating in conferences and workshops to share his insights and learn from peers. His contributions to the field are recognized both nationally and internationally, making him a respected figure in the realm of applied mathematics and scientific computing.