Phil Pokorny is the Chief Technology Officer (CTO) for SGH / Penguin Solutions. He brings a wealth of engineering experience and customer insight to the design, development, support, and vision for our technology solutions.
Phil joined Penguin in February of 2001 as an engineer, and steadily progressed through the organization, taking on more responsibility and influencing the direction of key technology and design decisions. Prior to joining Penguin, he spent 14 years in various engineering and system administration roles with Cummins, Inc. and Cummins Electronics. At Cummins, Phil participated in the development of internal network standards, deployed and managed a multisite network of multiprotocol routers, and supported a diverse mix of office and engineering workers with a variety of server and desktop operating systems.
He has contributed code to Open Source projects, including the Linux kernel, lm_sensors, and LCDproc.
Phil graduated from Rose-Hulman Institute of Technology with Bachelor of Science degrees in math and electrical engineering, with a second major in computer science.
Dr. Yongjun Zhao is a research scientist at TikTok working on the theories and practices of privacy-enhancing technologies. Prior to joining TikTok, he was a senior research fellow at Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS), Nanyang Technological University.
Evangelos Eleftheriou, an IEEE and IBM Fellow, is the Chief Technology Officer and co-founder of Axelera AI, a best-in-class performance company that develops a game-changing hardware and software platform for AI.
As a CTO, Evangelos oversees the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase Axelera AI’s business.
Before his current role, Evangelos worked for IBM Research – Zurich, where he held various management positions for over 35 years. His outstanding achievements led him to become an IBM Fellow, which is IBM’s highest technical honour.
In 2002, Evangelos became a Fellow of the IEEE, and later in 2003, he was co-recipient of the IEEE ComS Leonard G. Abraham Prize Paper Award. He was also co-recipient of the 2005 Technology Award of the Eduard Rhein Foundation. In 2005, he was appointed an IBM Fellow and inducted into the IBM Academy of Technology. In 2009, he was co-recipient of the IEEE Control Systems Technology Award and the IEEE Transactions on Control Systems Technology Outstanding Paper Award. In 2016, Evangelos received an honoris causa professorship from the University of Patras, Greece. In 2018, he was inducted into the US National Academy of Engineering as Foreign Member. Evangelos has authored or coauthored over 250 publications and holds over 160 patents (granted and pending applications).
His primary interests lie in AI and machine learning, including emerging computing paradigms such as neuromorphic and in-memory computing.
Evangelos holds a PhD and a Master of Eng. degrees in Electrical Engineering from Carleton University, Canada, and a BSc in Electrical & Computer Engineering from the University of Patras, Greece.
In this session, we'll explore the transformative potential of confidential computing as a pervasive Privacy Enhancing Technology (PET). The discussion will delve into real-world use cases across various industries, illustrating how confidential computing is enabling secure data processing in sensitive environments. Additionally, we will examine the future trajectory of this technology, identifying key trends, emerging challenges, and strategic moves that industry players can adopt to harness its full potential. This session aims to provide a comprehensive understanding of the current landscape and future direction of confidential computing, offering valuable insights for stakeholders looking to integrate this technology into their privacy frameworks.
The Confidential Computing Consortium is a community focused on projects securing data in use and accelerating the adoption of Confidential Computing through open collaboration.
The Confidential Computing Consortium (CCC) brings together hardware vendors, cloud providers, and software developers to accelerate the adoption of Trusted Execution Environment (TEE) technologies and standards.
CCC is a project community at the Linux Foundation dedicated to defining and accelerating the adoption of Confidential Computing. It embodies open governance and open collaboration that has aided the success of similarly ambitious efforts. The effort includes commitments from numerous member organizations and contributions from several open source projects.
The Confidential Computing Consortium is a community focused on projects securing data in use and accelerating the adoption of Confidential Computing through open collaboration.
The Confidential Computing Consortium (CCC) brings together hardware vendors, cloud providers, and software developers to accelerate the adoption of Trusted Execution Environment (TEE) technologies and standards.
CCC is a project community at the Linux Foundation dedicated to defining and accelerating the adoption of Confidential Computing. It embodies open governance and open collaboration that has aided the success of similarly ambitious efforts. The effort includes commitments from numerous member organizations and contributions from several open source projects.
