Engineering’s Lena Mashayekhy Wins Early Career Award

Feb 15, 2018

IEEE Computer Society Technical Committee

UD assistant professor Lena Mashayekhy (left) with Professor Albert Zomaya, general chair of HPCC, as she receives an award from the IEEE Computer Society Technical Committee on Scalable Computing (TCSC).

UD computer science assistant professor honored for excellence in cloud computing

Lena Mashayekhy, an assistant professor in the University of Delaware’s Department of Computer and Information Sciences, has received the IEEE TCSC Award for Excellence for Early Career Researchers in Scalable Computing, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC).  She received her award at the IEEE International Conferences on High Performance Computing and Communications (HPCC) in December 2017.

The Early Career Researcher Award recognizes individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of scalable computing, within just five years of earning their doctoral degrees.

Mashayekhy’s research interests include edge computing, cloud computing, Internet of things (IoT), cyber-physical systems, and game theory. She designs advanced computing systems for emerging technologies and applications. Currently, she is developing solutions to enhance and empower cloud computing for IoT applications (e.g., autonomous vehicles and wearable devices) by extending cloud services closer to users along a cloud-to-thing continuum.

Mashayekhy joined UD’s faculty in Fall 2015. Her doctoral studies focused on Resource Management in Cloud and BigData Systems, received the 2016 IEEE TCSC Outstanding PhD Dissertation Award. She has published more than 30 peer-reviewed papers in venues such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, and IEEE Transactions on Cloud Computing.

The IEEE TCSC is an international forum fostering research and education in Scalable Computing. TCSC is interested in all areas of scalable computing, including but not limited to, scalable computing infrastructure and middleware, scalable systems, scalable data science, scalable data analytics, scalable machine learning and scalable deep learning, scalable enterprise systems, and scalable business analytics and applications.

UDaily Article by College of Engineering Staff | Photo by courtesy of Lena Mashayekhy | February 14, 2018