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.
Qiuyun Llull
Member of Technical Staff
VMware
Personal URL
Qiuyun Llull joined VMware in 2017, working on the performance of next-generation Software-defined Data Center. She is broadly interested in system and architecture for emerging applications, such as data analytics, machine learning, IoT, and autonomous driving. She received her Ph.D. in Computer Engineering from Duke University in 2017, working with Prof. Benjamin Lee. Her doctoral research applies microeconomic models to manage resources in large-scale data centers; her dissertation received Outstanding Dissertation Award from the Duke ECE department. Her recent publication (Amdahl's law in the Datacenter Era: A Market for Fair Processor Allocation) won the Best Paper Award at HPCA 2018. Before coming to the United States, she obtained her M.S. degree from University Paris Sud, France and B.Eng. degree from Huazhong University of Science and Technology, China
Architecture For Emerging Technologies and Applications, Architecture Modeling and Simulation Methodologies, Datacenter-Scale Computing, Processor, Memory, and Storage Systems Architecture
Ghazal Tashakor
Scientist
Jülich Supercomputing Centre
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 Supercomputer Centre.
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, Iot, Mobile and Embedded Architecture, Multiprocessor Systems, Processor, Memory, and Storage Systems Architecture
Alexandra Angerd
PhD Student
Chalmers University of Technology
(No URL)
I am a PhD Student at Chalmers University of Technology in Gothenburg, Sweden under the guidance of Professor Per Stenström. My research focuses on GPU architectures for approximate computing systems.
Accelerator-Based, Application-Specific and Reconfigurable Architecture, Instruction, Thread and Data-Level Parallelism, Processor, Memory, and Storage Systems Architecture
Diksha Moolchandani
Ph.D. Research Scholar
Indian Institute of Technology Delhi, New Delhi, India
Personal URL
I am currently a Ph.D. Research Scholar with the School of IT, Indian Institute of Technology Delhi, New Delhi, India.
My current research interests span the areas of architecture design and acceleration techniques for computer vision and image processing applications, designing convolutional neural network accelerators, and machine learning applications to computer architecture.
Initiatives
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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