Our
Mission
Women in Computer Architecture (WICARCH) is designed to create a community for women studying and working in the field of computer architecture. Our goal is to promote women in computer architecture and increase visibility for their research and development contributions. We welcome participation from all women including students, post docs, industry researchers and developers and faculty members. To be listed in our directory, please click here.
Profiles of WICArch
The mission of this section is to profile women in computer architecture across many walks of our field, from [junior, senior] x [industry, academia].
If you would like to be profiled, would like to nominate someone to be profiled, or would like to write a profile, please let us know by wicarch-chair@acm.org
Mengjia Yan
 
		Dr. Mengjia Yan is undoubtedly one of the most delightful people you will ever meet – smart, positive, exceedingly wise beyond her years, and the kind of person who can turn a frown upside down. She was paired with me as a mentee at ISCA 2018, but I genuinely think that it is I who have benefited from the relationship. These days, she is a new assistant professor at MIT, having recently completed her PhD at the University of Illinois at Urbana-Champaign in 2019.
WICArch Directory
We actively maintain a list of women working in the field of computer architecture. The goal of this list is many-fold. First, the list services as a resource for program chairs and conference organizers to identify women to serve in key technical roles such as keynote, panels and program committees. Second, the list is designed to foster community and help women connect with other women in computer architecture. This list can be used by current and potential graduate students to find advisors and mentors. Four profiles, selected randomly, are shown below. We encourage you to browse the full directory.
 
              Tali Moreshet
Master Lecturer
Boston University
Personal URL
Research interests include energy-efficient computing, hardware-software co-design, near memory processing, non-volatile memory.
Iot, Mobile and Embedded Architecture, Multiprocessor Systems, Processor, Memory, and Storage Systems Architecture 
              Jennifer Volk
Graduate Student
University of California, Santa Barbara
Personal URL
I am a third-year PhD student in Electrical and Computer Engineering interested in new and niche logic families for high-performance computing purposes, including temporal-based encoding (Race Logic), and exploring superconducting architectural and circuit design trade-offs between area, energy, and tolerance to variability. I have co-authored several papers at ISCA and ASPLOS on novel logic paradigms applied to superconducting technologies. I am currently pursuing several projects, including new neuromorphic gates in superconducting electronics, and new fan-out techniques for the same technology. I have a diverse background ranging from instrumentation and testing in High-Energy Physics to embedded development in the health and wellness industry, and I received my undergraduate degree in Electrical Engineering from University of California, Santa Cruz. If you would like to hear about my research, please reach out!
Accelerator-Based, Application-Specific and Reconfigurable Architecture, Architecture For Emerging Technologies and Applications, Effects Of Circuits Or Technology On Architecture 
              Ghazal
Scientist
Jülich Supercomputing Centre (JSC)
Personal URL
Dr. Ghazal Tashakor is a scientific staff member affiliated with multiple institutes and universities in Germany and Spain. She obtained her Ph.D. in High-Performance Computing (HPC) and advanced simulation from the Autonomous University of Barcelona in 2019. Her ongoing research endeavors primarily focus on conducting large-scale computer simulations. Additionally, she serves as a core developer in distributed and parallel architecture patterns, ranging from grid computing to data visualization/monitoring, with a specific emphasis on Big Data and advanced hierarchical models. She collaborates with various research centers in Germany, including Fraunhofer and Jülich Supercomputing Centre (JSC)
Architectural Support For Programming Languages Or Software Development, Architecture For Emerging Technologies and Applications, Architecture Modeling and Simulation Methodologies, Datacenter-Scale Computing, Instruction, Thread and Data-Level Parallelism, Interconnection Network, Router and Network Interface Architecture, Iot, Mobile and Embedded Architecture, Processor, Memory, and Storage Systems Architecture 
              Charu
PhD Candidate
Northeastern University
Personal URL
Charu Kalra is a PhD student in the Computer Engineering Department at Northeastern University. She is part of the Northeastern University Computer Architecture Research (NUCAR) group under the direction of Prof. David Kaeli. Her research interests include GPU compilers, software reliability, machine learning, workload characterization, and performance evaluation of GPU systems. Her PhD thesis focuses on design and evaluation of compiler-based techniques to predict and improve reliability of GPU applications. In 2014, Charu was featured on NVIDIA's 'Women Who CUDA' list. She has also pursued internships at AMD and AMD Research in the past.
Accelerator-Based, Application-Specific and Reconfigurable Architecture, Dependable Architecture, Instruction, Thread and Data-Level ParallelismInitiatives
We organize various initiatives to better connect women in computer architecture.
Join Our Mailing List
2. Update your gender in your myACM account (create/activate account as needed)
Join Our Slack Channel
We offer an informal mentoring program through our slack channel (wicarch.slack.com). Women at all career stages are encouraged to join. The mentoring program provides an easy way to connect with other women and receive advice on a wide range of career and personal issues.
If you need assistance in joining our mailing list or slack channel, please send email to wicarch-chair@acm.org.
This website serves women in the field of computer architecture.
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