I teach computer architecture and design courses at SJSU's computer engineering department. I have 13 years of academic work experience. My research interests includes processor architectures, memory subsystems, and performance evaluations.
I earned my M.Tech. (2011) and Ph.D. (2022) degrees from Amrita Vishwa Vidyapeetham in Bangalore, India, where I worked on low-power cache architecture and fine-grain data classification in cache coherence mechanisms to improve system performance. My work has appeared in computer architecture conferences (PDP) and the JPDC journal.

Darya Mikhailenko is pursuing a PhD in Electrical and Computer Engineering at the University of Rochester under the supervision of Prof. Engin Ipek. Her interests cover areas of energy-efficient computer architectures, machine learning for computer vision applications, memory management, accelerators, and architecture modeling for emerging technologies. Darya worked as a research assistant at Nanoelectronics Research Laboratory (Purdue University, U.S.A.) and Bioinspired Microelectronics Systems Laboratory (Nazarbayev University, Kazakhstan) on the implementation of brain-computer architecture to actualize deep neural networks. Her recent work was dedicated to techniques to minimize data movement energy by exploiting asymmetric on- and off-chip interconnects. Currently, she researches microarchitecture level optimizations for AR/VR applications.

Darya is looking for internships in the field of AR/VR related but not limited to computer architecture and machine learning algorithms.