Bio:
Dr. Kaoutar El Maghraoui IBM T.J. Watson Research Center, USA
Dr. Kaoutar El Maghraoui is a Principal Research Scientist at the prestigious IBM T.J. Watson Research Center and an Adjunct Professor of Computer Science at Columbia University in the City of New York. Kaoutar's work resides at the intersection of systems and artificial intelligence (AI). Within IBM, she spearheads the AI testbed at the IBM Research AI Hardware Center, a prominent global research hub dedicated to advancing efficient next-generation accelerators and systems tailored for AI workloads. Her leadership extends to open-source development and enhancing the cloud end-user experience for IBM's emerging Digital and Analog AI accelerators. Her research areas span systems research, distributed systems, high-performance computing, and AI hardware-software co-design. She co-led IBM's Global Technology Outlook in 2017 and contributed to creating IBM's vision for the future of IT across global labs and business units, focusing on IBM's AI leadership. Kaoutar has co-authored several patents, conferences, and journal publications in systems research, AI, distributed systems, and high-performance computing.
An alumnus of Rensselaer Polytechnic Institute (RPI), New York, Dr. El Maghraoui earned her Ph.D. in Computer Science in 2007. She also holds a master's degree in computer networks (2001) and a bachelor's degree in general engineering from Al Akhawayn University, Morocco. Throughout her career, Dr. El Maghraoui has received numerous prestigious awards, including the Robert McNaughton Award for best thesis in computer science, the Best of IBM award in 2021, and the IBM Eminence and Excellence award for her efforts in increasing women's presence in science and technology. Her other honors include several IBM outstanding technical achievements, the 2021 IEEE TCSVC Women in Service Computing award, and the 2022 IBM Technical Corporate award.
She is an ACM Distinguished Member, ACM Distinguished Speaker, Senior IEEE Member, Society of Women Engineers, TinyML Foundation, and AnitaB.org member. She has served as co-chair, member of the program committee, and reviewer in many technical conferences. Kaoutar was elected secretary-treasurer for ACM SIGOPS for the 2015-2019 term and co-chaired IBM's Operating Systems Professional Community. She is the vice chair of the IEEE Technical Community on Services Computing (TCSVC).
Dedicated to supporting and promoting women in science and technology, Dr. El Maghraoui's leadership extends beyond her professional achievements. She actively participates in and leads initiatives that foster global growth, visibility, and collaboration of women in the computing field. Her work as the global vice-chair of the Arab Women in Computing organization and co-chair of the IBM Research Watson Women Network (WWN) in 2019-2021 exemplifies her commitment to creating opportunities and paving the way for the next generation of women in technology. She also serves on the AFCHIX International Advisory Panel, a non-profit organization dedicated to motivating African women and girls to engage with technology, embark on STEM careers, and realize their significant potential.
Website: https://researcher.watson.ibm.com/researcher/view.php?person=us-kelmaghr
LinkedIn: https://www.linkedin.com/in/kaoutar-el-maghraoui/
Twitter: @kaoutarTech
Available Lectures
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Optimizing Deep Learning for Real-World Deployment: The Role of Hardware-Aware Neural Architecture Search
Hardware-aware Neural Architecture Search (NAS) has emerged as a crucial approach to optimize the design of deep neural networks (DNNs) for specific hardware platforms, unlocking...
- Platform for Next-Generation Analog AI Hardware Acceleration
Analog In-Memory Computing (AIMC) is a game-changing approach that boosts the efficiency of Deep Neural Network (DNN) inference and training. It tackles the performance losses caused by...- Powering the Future of Efficient AI through Approximate and Analog In-Memory Computing Principals
Artificial Intelligence has transformed nearly every business process and industry, from finance, healthcare, and energy to supply chain optimization, sales, marketing, and HR. The...- Revolutionizing Enterprise AI: The Power and Promise of Foundation Models
Modern AI models excel at processing vast amounts of data and addressing complex problems through innovative solutions. As we progress, AI is undergoing a transformative shift towards the...To request a tour with this speaker, please complete this online form.
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- Platform for Next-Generation Analog AI Hardware Acceleration