My research has focused on power and energy in large-scale computing: modeling, measurement, management, and design at the system level. I'm currently Chair of CS at Sonoma State University, a campus of the California State University system. Ph.D. students who are interested in teaching at undergraduate institutions are welcome to contact me!

Vijayalakshmi Saravanan received her Ph.D. in Computer Science and Engineering from VIT University, India under Erasmus Mundus Fellowship (EURECA) as research exchange student at Mälardalen University, Sweden and visiting researcher at Ryerson University, Canada. She is currently an Assistant Professor in Practice at University of Texas, San Antonio (UTSA) in the department of Computer Science. Prior to this, she was a Postdoctoral Associate at UB (University at Buffalo), The State University of New York, USA and University of Waterloo, Canada under the prestigious “Schlumberger Faculty for the Future” Fellowship award (2015-2017). She is having 10 years of teaching experience in two premier Universities VIT and Amrita Vishwa Vidyapeetham, India. Dr. Saravanan has published many technical articles in scholarly international journal and conferences. She is serving as technical reviewer and program committee member for reputed conference & journals such as GHC, SIGCSE and Springer. Her research interests include Power-Aware Processor Design, Big Data, IoT and Computer Architecture. She is a Senior Member of IEEE & ACM, CSI, Ex-Chair for IEEE-WIE VIT affinity group, India (2009-2015), NPA (National Postdoctoral Association) Annual Meetings committee, Workshop/IIA Co-Chair (2017-2018) Poster committee Co-chair (2018-2019) and a Board member of N2WOMEN (Networking Networking Women).

My research interests are centered around Computer Systems. I am currently focusing on storage and persistent memory technologies, with an emphasis on their impact on the way we manage large-scale data for emerging workloads in Data Science and the Internet of Things.

I completed my PhD in Computer Science at EPFL/the University of Sydney in 2020, advised by Prof. Willy Zwaenepoel. My dissertation research was on the design and implementation of efficient key-value stores for future hardware and performance requirements.

My main research focus is in hardware accelerators, especially FPGAs. I have done research in floating point implementations, unsupervised learning, medical imaging, and privacy preserving data processing. At Northeastern I am head of the Reconfigurable Computing Laboratory and a member of the Computer Engineering group. Throughout my career, I have been funded by both government agencies and companies, including AMD, DARPA, NSF, Google, and MathWorks. I am the recipient of a Fulbright Scholar Award and a Charter Member of the IEEE Computer Society Distinguished Contributor Recognition Program. My current research focus is on FPGAs in the data center and FPGAs directly attached to the network.