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.

Sonal is a assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Raipur. Prior NIT Raipur, she was postdoctoral fellow at Indian Institute of Technology (IIT) Guwahati, India from March 2018-2020. She received her M.Tech and PhD degree from the Malaviya National Institute of Technology (MNIT) Jaipur, India. Her PhD dissertation was on Exploration of Efficient Manycore Multiple Networks-on-Chip Architectures. Her research interests lie in improving energy efficiency via power-gating for multiple networks-on-chip (NoC) architectures and self-learning NoC architectures. Her thesis work awarded travel grant in DATE 2019. She is the recipient of the best paper award by TCVLSI in IEEE-SES 2018. Her PhD work is published in reputed conferences VDAT 2015, VLSI Design 2016, DAC 2019 and journals. She has received multiple recognitions, including PhD Fellowship by the Ministry of Human Resource and Development (MHRD) Govt. of India and Institute Postdoctoral Fellowship by Indian Institute of Technology Guwahati.

I am a PhD candidate in the Department of Electrical and Computer Engineering at the University of British Columbia, advised by Prof. Tor Aamodt. My Ph.D. thesis is on Energy-Efficient Acceleration for Autonomous Robotics. I have worked on algorithm-hardware co-optimization for robot perception and planning. My primary research area is Computer Architecture, and I have been focusing on building better computing platforms for deep learning and robotics tasks.

Before joining PhD, I worked in Qualcomm as a part of the VLSI Design Team. I received my master's in Microelectronics and VLSI from the Indian Institute of Technology Bombay, and I received a Silver Medal and Best Thesis Award for my academic performance and research contributions.

I am currently in the Job market and actively looking for research positions!

Photonic chip that utilizes neural network.