Angeles G. Navarro received her PhD in Computer Science from the University of Malaga (Spain) in 2000. She is a Professor in the Department of Computer Architecture at the University of Malaga. She has been a Research Visiting Scholar in the University of Illinois at Urbana-Champaign, the Technical University of Munich, the EPCC at the University of Edinburgh, the University of Bristol, and a Research Visitor in IBM T.J. Watson Research Center at New York and in Cray Inc at Seattle. She is the author or co-author of more than 80 papers and has served as a program committee member for several High Performance Computing related conferences. Her research interests are in parallel programming models and compilation techniques for heterogeneous and reconfigurable architectures.

Dr. Navarro has been involved in many initiatives to promote women in Computer Science. She is the co-founder of WSARTECO (Women in SARTECO), a community that is part of the Spanish Computer Architecture Scientific Society, which encourages junior and senior women working in the area to increase visibility and to develop a supporting network.

I'm a Ph.D. candidate at Department of Computer Science and Engineering, Indian Institute of Technology, Madras, advised by Prof. Chester Rebeiro. My research interests are broadly in the area of secure systems design, with a specific focus on micro-architecture level solutions against various attacks against cryptographic implementations, such as cache side-channel attacks. I'm also interested in exploring the applications of AI to help in building a more secure framework. I was one among the 12 candidates across the world to present my research at Lenovo AI Innovation Challenge Event at SuperComputing Conference 2017, Denver, Colorado. I was also one of the three-member team from IIT Madras that won the First Place in the CSAW Embedded Security Challenge 2016. We designed a secure implementation of an OpenRISC processor to detect and prevent buffer overflow attacks.

I’m currently a Product Manager at Google Cloud AI. Previously, I was the lead Product Manager for systems and software at Cerebras Systems, where we built the industry's fastest Deep Learning acceleration solution.

I have an MBA from the University of Texas-McCombs School of Business, where I was a Venture Fellow at BuildGroup and Mercury Fund; here I gained hands-on experience in developing investment themes, conducting due diligence, valuation, and assisting portfolio companies, and worked with internal data science teams to conceive and deploy machine learning projects at scale.

Prior to my MBA, I received a Masters' in Computer Engineering from the University of Wisconsin-Madison and held leadership positions within product and research groups within the smartphone industry (Qualcomm, Samsung R&D) as a computer architect.

I was fortunate to witness the explosive growth of the smartphone and tablet markets first-hand and was a member of high visibility + growth teams that collectively delivered over 1 Billion chips to users.