Connecting Innovators Across the Globe
AUGUST 10, 2026
SEPTEMBER 20, 2026
OCTOBER 9, 2026
OCTOBER 12, 2026
OCTOBER 13 - NOVEMBER 15, 2026
Conference Agenda
Day 1: December 1
Join us on Day 1 to explore advances in IoT and Smart Systems through keynote presentations and panel discussions featuring industry leaders and scholars sharing their latest findings.
Day 2: December 2
Day 2 focuses on Cybersecurity and AI, with interactive sessions designed to engage participants and encourage innovation through collaborative discussions and workshops.
Day 3: December 3
On Day 3, attendees will delve into Sustainability and Energy Solutions, showcasing projects and research aimed at fostering a sustainable future through advanced technologies.
Keynote Speakers
Distinguished Experts
Beyond the Internet of Things: Engineering Autonomous Intelligent Ecosystems
Dr. Ali A. Gooyabadi
University of Colorado Boulder
Description:
As AI, digital twins, edge intelligence, and agentic systems converge, the engineering of smart connected systems is undergoing a fundamental transformation. Rather than building every component from the ground up, engineers are increasingly defining problems, objectives, and constraints while intelligent platforms automate design, simulation, optimization, and continuous adaptation. This keynote explores how this shift is redefining the future of IoT and enabling autonomous, resilient, and intelligent cyber-physical ecosystems across industries.
Bio:
Dr. Ali A. Gooyabadi is an electrical engineer, university professor, and technology strategist with more than 30 years of experience in automation, control systems, IoT, digital transformation, and large-scale technology initiatives. An IEEE Senior Member, he has held academic and executive leadership roles in the United States and internationally and is recognized for bridging advanced engineering, emerging technologies, and strategic organizational transformation.
Everything, Everywhere, All the Time: End-to-end Software Infrastructure for Real-time Coupling of HPC, AI, and IoT
Dr. Rich Wolski
University of California, Santa Barbara
Description:
AI is powering a new generation of Internet-accessible services using Large-language Models. However, the Internet-of-Things (IoT) consists of devices that must interact with AI models without the use of human language. Physical AI uses mathematical models from physics and chemistry to enable AI reasoning and control of IoT devices that interact with the physical world. These "hard science" models and simulations typically require traditional high-performance computing (HPC) techniques and are rarely applicable to real-time or near real-time data analysis and control applications that are common in IoT settings.
In this talk, we will present xGFabric and end-to-end system for coupling IoT devices and actuators with HPC systems to implement "modeling-in-the-loop'' applications. The xGFabric prototype is a full-stack, end-to-end system that uses parallel computing to execute simulations that generate training data for Physical AI "surrogate" models (Physics Informed Neural Networks and Fourier Neural Operator models) that can make inferences on demand. The resulting models are then evaluated at the edge of the network to make real-time inferences.
The prototype uses a large-scale Computational Fluid Dynamics (CFD) to train AI models for real-time decision support in a digital agriculture application that is in production use at a commercial citrus farm located in California's Central Valley. The talk will describe the xGFabric architecture and discuss experiences with deploying a production real-time HPC-Physical AI application in an agricultural setting where digital infrastructure is minimal or nonexistent.
Bio:
Dr. Rich Wolski is a Professor of Computer Science at the University of California, Santa Barbara (UCSB) where he holds the Duval Presidential Chair in Energy Efficiency. Having received his M.S. and Ph.D. degrees from the University of California at Davis (while a research scientist at Lawrence Livermore National Laboratory) he has also held positions at the University of California, San Diego, and the University of Tennessee, the the San Diego Supercomputer Center, and he is currently an affiliate faculty member at Lawrence Berkeley National Laboratory. Rich has led several national scale research efforts in the area of high-performance distributed and cloud systems and is the progenitor of the Eucalyptus open source cloud project.
Smart power and sustainable systems
Dr. Pallav Prakash
Zūm, USA
Bio:
Dr. Pallav Prakash leads electrification at Zūm Services, where he built America's first V2G-enabled electric school bus yard in Oakland and is now delivering the East Coast's first all-electric yard and the nation's largest V2G facility. An IEEE Senior Member and former submarine officer, he was named 2024 Innovator of the Year by School Transport.