I'm Diman Zad-Tootaghaj, I am a postdoc/researcher at Hewlett Packard Labs in Palo Alto, California. I work on Software-Defined Network solutions in Wide Area Networks (SD-WAN).

I earned my PhD in Computer Science and Engineering at Pennsylvania State University. Prior to Penn State, I got my B.Sc degree in Electrical Engineering at Sharif University of Technology, Iran. During my PhD, I was working in the Institute for Networking and Security Research (INSR) and Network Sciences Research Group (NSRG) under supervision of Prof. Thomas La Porta (advisor), Dr. Ting He (co-advisor), and Dr. Novella Bartolini.

My research area is computer networks, stochastic analysis, operating system, and parallel computing. I graduated from Sharif University of technology, with MSc. in Electrical Engineering.

I'm on the N2Women board as a Website Co-chair.

Atefeh Mehrabi is a PhD student at ECE department of Duke University. She is co-advised by Prof. Sorin and Prof. Lee. Her research focuses in the area of computer architecture. More specifically, she is exploring and trying to tackle challenges of emerging reconfigurable accelerators. She got her B.Sc degree from University of Tehran in 2016 in Electrical Engineering and her M.Sc degree in Computer Engineering from Duke in 2018.

For decades, Moore’s Law and its partner Dennard Scaling have driven technology trends that have enabled exponential performance improvements in computer systems at manageable power dissipation. With the slowing of Moore/Dennard improvements, designers have turned to a range of approaches for extending scaling of computer systems performance and power efficiency. Unfortunately, these scaling gains come at the expense of degraded hardware-software abstraction layers, increased complexity at the hardware-software interface, and increased challenges for software reliability, interoperability, and performance portability. My work explores the way forward for computer systems designers in this “Post-ISA” era of shifting abstractions. My group looks hardware and software design issues for specialization/heterogeneity and methods for formal verification. We are also increasingly focused on the hardware/software systems issues of Quantum Computing.

Poona Bahrebar received the B.Eng. degree in Software Engineering, and M.Eng. degree in Hardware Engineering with the highest GPA (summa cum laude) from the National University of Iran in 2005 and 2007, respectively. She received the Ph.D. degree in Computer Science Engineering from Ghent University, Belgium, in 2017 where she is currently a Post-Doctoral Researcher at the Department of Electronics and Information Systems. Her research interests include on-chip interconnection networks, run-time reconfiguration, fault tolerance, and computer architecture.