Farinaz Koushanfar, a professor and Henry Booker School Scholar within the Division of Electrical and Pc Engineering on the College of California San Diego, has been named one in all 57 Fellows of the Affiliation for Computing Equipment (ACM) for 2022. Koushanfar is acknowledged for her contributions to safe computing and privacy-preserving machine studying.

The ACM Fellows program acknowledges the highest 1% of ACM Members for his or her excellent accomplishments in computing and knowledge expertise and excellent service to ACM and the bigger computing group.

Koushanfar directs the Adaptive Computing and Embedded Programs (ACES) Lab at UC San Diego. The work from her lab has reworked the necessary fields of hardware-based safety, safe AI, and privacy-preserving computing. Koushanfar can be the founding co-director of the Machine-Intelligence, Computing and Safety Middle (MICS), an engineering analysis heart on the UC San Diego Jacobs Faculty of Engineering targeted on technical innovation and numerous workforce improvement via the mixing of {hardware}, software program, AI algorithms, and knowledge for scalable machine studying and safety.

“I am honored to be acknowledged with this esteemed class of ACM Fellows,” mentioned Koushanfar. “I’m most excited about the long-term prospects and the potential societal impact of my work in security, privacy and AI. I’m grateful for the privileges offered to me by the academic institutions where I have worked and studied, and by the greater scientific community throughout my research career. I would also like to extend my heartfelt gratitude to my mentors, collaborators, post-docs and students for their unwavering support and contributions to our joint projects.”

Koushanfar’s unique contributions to the sector of computing are intensive. Her analysis has resulted in widely-used software program and tens of patents filed in the US and worldwide. Her notable innovations guarantee safety of digital built-in circuits (ICs) and their software program/knowledge, robustness of AI fashions and privacy-preserving computation.

She invented the first-ever methodology for actively and uniquely locking, monitoring and controlling every IC submit fabrication. Koushanfar’s two latest patent-pending works outline the cutting-edge for the difficult drawback of cryptographically safe deep studying on encrypted knowledge.

Koushanfar can be an inventor of the primary {hardware} accelerator for secure deep studying sturdy to adversarial samples, in addition to the primary AI accelerator sturdy to knowledge poisoning. She is an inventor of the primary deep studying watermarking methodology that’s concurrently sturdy to a number of courses of prior-known vulnerabilities. Koushanfar can be an eminent supporter of ladies and minorities and has been the lead of a number of DEI initiatives. Beneath her management (and in collaboration with MICS co-Director), each the UCSD ACES Lab and the MICS heart are actually among the many world’s most gender-balanced engineering analysis teams by way of each college students and college inhabitants.

“Computing’s most important advances are often the result of a collection of many individual contributions, which build upon and complement each other,” mentioned ACM President Yannis Ioannidis in an announcement. “But each individual contribution is an essential link in the chain. The ACM Fellows program is a way to recognize the women and men whose hard work and creativity happens inconspicuously but drives our field. In selecting a new class of ACM Fellows each year, we also hope that learning about these leaders might inspire our wider membership with insights for their own work.”

Previous to her recognition by the ACM, Koushanfar’s influential publications have obtained a number of greatest paper awards in prime conferences in her area. She has obtained a number of different honors and awards together with being listed in 2008 MIT Know-how Assessment (TR-35) among the many world’s prime 35 innovators beneath the age of 35, 2010 Presidential Early Profession Award for Scientists and Engineers from President Obama, 2019 elevation to the rank of fellow of the Institute of Electrical and Pc Engineers, and the Ten Yr Retrospective Most Influential Paper Award on the 2017 Worldwide Convention on Pc Aided Design.

Koushanfar now joins a various 2022 class of ACM Fellows representing analysis facilities, universities and personal companies based mostly in ten totally different nations world wide. Fellows are nominated by their friends, with nominations reviewed by a distinguished choice committee.


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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.

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