IEEE ISIE 2025

Tutorials Information

Industry Panel Session 1

An Overview of Inverter-based Resources (IBRs) Deployment in Electric Grids: Current Status and Future Trends

Omid Alizadeh

Senior Advisor
Concordia Quanta Technology, Canada

Moderator

Ahmad Momeni

Director of Technology Testing
Advanced Technology Integration, Canada

Sébastien Cense

Director, FPGA Simulation Department Opal RT, Canada

The urgent requirements for decarbonization and continued environmental concerns is a driver for deployment and integration of inverter-based resources (IBRs) in power transmission and distribution systems. IBRs could present in various forms and interconnection levels and can contribute to grid resiliency and higher penetration of clean energy resources.

However, streamlining design, integration, and testing process, depending on type and use case of IBRs, is still a continued discussion in the industry. The key challenges in IBR development practices will be described further, and a few examples of practical processes and solutions to address these challenges will be presented. The panellists will cover the following topics in detail:

  • Deployment of IBRs in Electric Grid T&D Systems: Engineering and Testing
  • Microgrids and Battery Energy Storage Systems: Design and Integration The speakers in this panel session will talk about their first-hand work experiences and the practical learnings they have gained through recent IBR projects. A few examples and insights are shared with the session attendees.

Industry Panel Session 2

How to Trust Technology Further Than We Can Throw It

David Bruemmer

Founder
W8less LLC, USA

Moderator

Alex Huk, Ph.D.

Director
Fuster Laboratory for Cognitive Neuroscience, USA

Dr. Scott Thayer

CMU professor
QinetiQ North America, USA

Eric Krotkov

President, EK Consulting AI
Advisor , Toyota Research Institute, USA

Mel Torrie

CEO/Founder
Autonomous Solutions (ASI) Inc, USA

Treggon Owens

CEO
AerialMob, USA

Dr. Julie Marble

Professor
University of Maryland, USA

Agata Ciesielski

Founder
Tethics LLC, USA

Dr. Milos Manic

Professor
Virginia Commonwealth University, USA

Has technology development in the recent past increased or decreased trust? Autonomy has been a long term promise from the engineering community but the autonomy we see in robotics and AI is not always trustworthy and reliable. Consider self-driving cars and the challenges assocoiated with fully autnomous drones and robots. AI is moving quickly forward but not necessarily with a humanity centered focus. The outcome of new tech funding is not entirely positive, especially when it comes to the perception of the average person. An increasing number of people see technology as a source of danger and harm. They fear that technology is coming for their job, threatening their individual freedom and privacy. Is the anti-tech sentiment limited to AI and software or is it bleeding into other tech sectors such as industrial electronics? How do we engender wholesome and appropriate trust with a human-centered design focus and efforts to increase reliability and robustness? To dive into these important issues the panel will move through the following topic areas with questions from the audience inserted into each topic area.  

Trends towards software-centric focus: Marc Andreeson, the famous venture capitalist, famously quipped that software is eating the world, but although software has exploded in value and impact it has not necessarily engendered trust especially for sectors such as robotics, self-driving and AI. By focusing so much energy and resources on software has hardware and specifically, industrial electronics suffered?  

Trends towards hyperbolic marketing: The push for funding in the tech sector has caused a feeding frenzy including broad marketing claims, software-centric thinking and the push for unicorn-level growth. How has this impacted industrial electronics and the balance of hardware and software?What if the key to engendering trust is enabling appropriate distrust. With the robotics and self driving world, it often seems that marketing “full self driving” or “full autonomy” reaps tremendous rewards in terms of investment and sales… but at what cost? In order to engender trust in our engineering practices and more generally in our technology in general, do we not need to embrace the idea of robust union between hardware and software. This may be especially true for industrial electronics. 

Trends towards and away from globalization: The past decade has been defined by unprecedented global trade enabling software and hardware to be pieced together from components that are obtained around the world. How will the changes currently underway to reverse the globalization trend impact these issues of trust? Will trade wars, tariffs and increased focus on nationalism impact robust performance and trustworthiness of electronic systems? 

Trends towards “full autonomy”: Autonomy has not scaled as promised and trust for these systems is at an all time low. Cars crash on the roads at unprecedented rates while in full self-driving mode. Autonomous drones fall out of the sky due to problems with GPS, motor failures and software bugs. In the military and energy sectors the push for full autonomy has made the goal to eliminate human involvement but in chaotic environments the autonomy often fails, leaving the user stranded and ill prepared to cope. How has the focus on full autonomy reduced reliability and limited trust?  

Trends towards reduced reliability: Robots, appliances and even cars fail at a rate never before imagined. Washing machines and dishwashers made in the 1960 lasted for decades requiring very little care, but those developed today, full of sensors and electronics, fail in months requiring constant maintenance. This is true for scooters, cars, trucks, forklifts, mining vehicles, washing machines, dryers, stoves, fridges and everything in between. Are these shortcomings inevitable due to increased complexity? How much of the problem is due to industrial electronics? 

Industry Panel Session 3

The Next Frontier of Artificial Intelligence: Generalist Robotics and Physical AI

Dr. Milos Manic

Professor
Virginia Commonwealth University, USA

Moderator

Dr. Gustavo Pessin

Full Researcher, Instituto Tecnológico Vale (ITV)
Head of the Robotics, Instrumentation and Control Lab, Brazil.

Dr. Carlos Eduardo Pereira

Full Professor
Automation Engineering UFRGS, Brazil

Dr. Leandro Buss Becker

Professor universitário
na Universidade Federal de Santa Catarina, Brazil

Lucas Assis

Founder and CEO
Synkar Autonomous, Brazil

Dr. Daswin de Silva

Professor of AI and Analytics
La Trobe University, Australia

Stamatis Karnouskos

SAP, Germany

Dr. Marcelo Lemes

Embraer Brazil (online)

In today’s rapidly evolving technological landscape, a panel on robotics and AI is essential for the industrial community. As industries face increasing pressure to enhance efficiency, reduce operational costs, and remain competitive, robotics and AI have emerged as transformative tools across manufacturing, logistics, supply chain management, and quality control. This panel offers a strategic platform for industry leaders, engineers, researchers, and decision-makers to explore the opportunities and challenges presented by the integration of intelligent systems into industrial processes. The importance of this panel lies in its potential to bridge the gap between cutting-edge academic research, real-world industrial applications, and policy-making. It encourages dialogue on how robotics and AI can be harnessed to drive innovation, address labor shortages, and improve workplace safety. By bringing together experts from academia and industry, the panel fosters knowledge exchange and collaborative thinking. It also helps demystify AI and robotics for stakeholders who may not yet be deeply involved with these technologies, offering practical insights and case studies on implementation.  

Industrial robots in factory, warehouse, and navigation automation are typically pre-programmed for repetitive motion in pre-defined settings. While this manual and model-based engineering approaches are adequate for deterministic and simple behaviours, the complexity of real-world environments remains out of reach for robots. Recent advances in Generative AI are making headway into addressing this gap through robotic foundation models, synthetic and simulated robotic actions training datasets and cross-embodiment skills transfer. Tesla Optimus, Covariant RFM-1 NVIDIA Isaac GR00T, and Pollen Robotics Reachy are pushing the boundaries of AI robotics innovations. 

Industry Panel Session 4

Strategies, Challenges, and Innovations in Transportation Electrification

Dr. Sanjida Moury

Engineer
Renewable Energy Program, Toronto Transit Commission (TTC), Canada

Moderator

Andrew Cowles

Chief Engineer
Renewable Energy Program, TTC, Canada

Ray Micallef

Engineering Principal
Electrification Metrolinx, Canada

Sushma Narisetty

Director
Energy Transition/ Grid intelligence Toronto Hydro, Canada

Dr. Mukhtiar Singh

Professor
Delhi Technological University, Delhi, India

This panel will explore the rapid electrification of Toronto’s transportation landscape, focusing on the strategic, technical, regulatory, and environmental aspects of this complex transition. Bringing together senior leaders from public transit agencies and utilities, the session will provide a systems-level perspective on how Toronto is working toward a cleaner, electrified, and more resilient transportation ecosystem. 

The discussion will center on the electrification of public transit, featuring representatives from the Toronto Transit Commission (TTC) and Metrolinx. They will discuss their respective plans for achieving fully zero-emission fleets. Panelists will share insights into infrastructure planning, the challenges they face, and key enabling technologies that facilitate large-scale fleet conversion. The TTC and Metrolinx will serve as a case study in innovation, demonstrating how the integration of clean energy, battery storage, and electric bus infrastructure contributes to the decarbonization of transit operations. 

Additionally, the panel will address operational challenges, lessons learned, and performance data from pilot programs involving electric buses and trains, offering practical insights into real-world implementation. The panel will also examine the perspectives of infrastructure and utility providers, focusing on the effects of high EV adoption on Toronto’s electrical grid, particularly in densely populated urban and transit areas. Panelists will explore strategies for smart charging, load management, and the development of rate structures designed to reduce peak demand and ensure grid reliability.

Industry Panel Session 5

Securing Power Systems in the Post-Quantum Era: Urgency, Challenges, and Solutions

Dr. Atefeh Mashatan

Canada Research Chair, Founding Director
Cybersecurity Research Lab,
Associate Professor
TMU, Canada

Moderator

Dr. Mohammadreza Arani

Assistant Professor
CRC in Smart Grid Cyber-Physical Security, TMU, Canada

Dr. Marthe Kassouf

Researcher
the Research Institute of Hydro-Quebec (IREQ), Canada

Dr. Brian Neill

Vice President
evolution, Canada

Quantum computers are advancing at a much faster pace than initially anticipated. While this revolutionary technology holds the potential to solve long-standing computational challenges, it also introduces unprecedented cybersecurity threats. Many cryptographic algorithms, once considered secure—requiring billions of years for classical computers to break—could be compromised in mere minutes by quantum computers. 

Industries such as finance and IT have already recognized this challenge and have proactively begun transitioning toward quantum-resistant security measures. Organizations like NIST and ETSI are actively working on standardizing Post-Quantum Cryptographic (PQC) algorithms. However, industrial control systems (ICS), including power systems, lag significantly in adopting quantum-safe cybersecurity practices. 

Power systems, as critical cyber-physical infrastructures, rely extensively on information and communication technology (ICT) and cryptographic protocols to ensure system security. Yet, their vulnerabilities to quantum-enabled cyber threats have not been systematically studied. While IT sectors have made significant progress in developing quantum-resistant security frameworks, these solutions have yet to be tested and adapted for operational technology (OT) environments, where system constraints and security priorities differ significantly from traditional IT settings. 

Unlike IT systems, which prioritize data confidentiality, OT systems emphasize availability and real-time operation, making their cybersecurity needs fundamentally different. Power grids, for instance, operate under extremely low-latency communication requirements, sometimes as short as 4 milliseconds, further complicating the adoption of new security protocols. Any cryptographic solution must be thoroughly tested and adapted for these stringent requirements. 

Additionally, OT components have much longer life cycles (10–20 years) compared to IT hardware, meaning that many existing power system devices have limited computational capabilities to support complex quantum-resistant encryption techniques. This extended lifespan also creates cybersecurity challenges, as older, non-secure legacy devices will inevitably coexist with newly deployed quantum-resistant systems, leading to hybrid security risks. 

This panel will explore the pressing cybersecurity challenges of power systems in the post-quantum era, focusing on the gaps between IT and OT security measures, real-world implementation constraints, and practical strategies to ensure grid resilience. 

Industry Forum Session

Wireless communication and cloud computing infrastructure for industrial automation systems

Dr. Michael Condry

Condry Investment and Future Technology Consulting LLC, USA

Chair

Dr. Zhibo Pang

ABB Corporate Research, Sweden

Dr. Mohamed Kashef

Research Scientist
NIST, USA

Sid Dixit

Principal Architect
CopperPoint Insurance Companies, USA

The industrial automation sector is undergoing a transformation driven by the rapid proliferation of communication and computing technologies, to meet the specific needs such as scalability, availability and performance in various application domains of Industrial Cyber-Physical Systems. To support the architectural shift, a novel paradigm called Cloud-Fog Automation was proposed to accelerate the convergence and synergy of various enabler technologies. One of the integral parts of realizing this novel paradigm is the integration of wireless communication and cloud computing technologies. 

Wireless communication is becoming increasingly prevalent in industrial automation as systems evolve toward more flexible, mobile, and interconnected architectures. The increasing adoption of wireless technologies provides significant benefits by reducing the cost and complexity of physical cabling, supporting mobility for reconfigurable production systems, and enabling real-time data exchange across distributed assets. Despite these advantages, significant challenges remain. Wireless communication networks must guarantee deterministic performance under stringent latency and reliability constraints. 

As another key enablers of modern industrial automation systems, cloud computing platforms host higher-level applications like production optimization and enterprise integration, while fog nodes handle time-sensitive control tasks closer to the physical process. The benefits of this approach are significant: it reduces capital and operational expenditures, simplifies system upgrades and maintenance, and supports rapid integration of AI/ML capabilities for predictive analytics and autonomous decision-making. While wireless communication and cloud computing each offer transformative benefits for industrial automation, their independent evolution creates critical integration gaps. This topic is thus motivated by the urgent need to develop co-designed, interoperable, and scalable architectures that harness wireless communication and cloud computing as foundational enablers of future-proof industrial automation systems. This panel aims to promote research, innovations, and applications to bridge the gap between theory and applications