The IEEE Energy Conversion Congress & Exposition (ECCE) is the leading international event dedicated to the advancement of energy conversion technologies. ECCE brings together practicing engineers, researchers, and industry experts from around the world to engage in insightful discussions, technical sessions, and collaborative exchanges on the latest innovations and practical applications in energy conversion.
The ECCE Organizing Committee invites proposals for tutorials at ECCE 2026. Standard tutorials are three hours long (excluding breaks); however, the committee also welcomes proposals for full-day tutorials (two 180-minute sessions, morning and afternoon) and short tutorials (under 120 minutes on Thursday). While presenter preferences will be considered, final scheduling is determined by the Technical Program Committee based on conference needs and constraints. Each accepted tutorial includes one conference registration and a $1,000 honorarium. Publication of a technical paper still requires a paid full registration.
All tutorial proposals should be submitted via the ECCE 2026 web portal under “Call for Tutorials.” Please follow the Tutorial Proposal Form on the website. The proposals will be reviewed by a panel of subject matter experts.
One or more of the following elements are strongly encouraged in the tutorial proposals:
a) Application-focused sessions on tools or methods for practicing engineers
b) ECCE 2026 topics relevant to the host city, e.g., smart mobility, clean energy, and sustainable infrastructure
c) Collaborative cross-disciplinary topics, industry-led or co-hosted lectures
d) Engaging topics and formats
Tutorials considered less attractive to the audience include:
a) Lectures that are not balanced between theory and application
b) Tutorial topics presented previously in immediate past ECCE
c) Tutorials that narrowly focus on the presenter’s research that is already publicly available
d) Solicitation of a particular product or service.
Energy Conversion Systems and Applications
- Renewable energy, including under-represented ocean-wave, tidal, and geothermal
- Smart grids, microgrids, nanogrids
- Electrical energy storage, and battery charging technologies
- Energy conversion for information and communications technology
- Energy harvesting and conversion
- Smart, energy-efficient buildings
- Energy efficiency for advanced manufacturing
- Big data and machine learning in energy conversion
- Digital twins for energy conversion systems
- Resilience and cybersecurity in energy conversion systems
- Transportation electrification
- HVDC and HVDC grids
- Power electronics dominated low-inertia grids, especially grid-forming strategies and protection
- AI-assisted optimization of energy management systems
- Intelligent fault detection and predictive maintenance using AI/ML
- Co-optimization of energy conversion and robotic task execution in autonomous systems
- AI-driven demand forecasting and dynamic load balancing in grids
Others
- Pedagogy for undergraduate learning and online education innovations
- Entrepreneurship, technology transfer, business management
- Development and use of standards for specific applications
- Curriculum development for AI and power electronics integration
- Standards for AI safety and ethics in power-critical robotic systems
- Policy and regulatory frameworks for autonomous energy systems
Component, Converter & Subsystem Technologies
- Power electronics devices and conversion topologies
- Modeling and control of power converters
- Electric machines and drives
- Passive components, magnetics, and materials–particularly for high frequency
- Packaging, integration, and advanced manufacturing
- EMI and EMC
- Thermal management and advanced cooling technologies
- Wireless power transfer
- High-voltage power conversion, including insulation technologies
- Design automation and optimization
- Reliability, diagnostics, prognostics, and health management
- Fault-tolerant converters, drives and systems
- Protection and advanced gate drives for converters
- AI-enabled control algorithms for adaptive converters
- Neuromorphic computing in converter and drive control loops
- Edge AI deployment in embedded converter platforms
- Collaborative power converters for swarm robotics and distributed robotics power systems
General Chair
Michael Harke
Collins Aerospace, USA
General Co-Chair
Shanelle N. Foster
Michigan State University, USA
Tutorial Chairs
Anant Singh
Tesla, CA, USA
anant_singh@ieee.org
Kishan Joshi
Intel Corporation, CA, USA
kishan.g.joshi@ieee.org
Sandun Kuruppu
Western Michigan University
sandun.kuruppu@wmich.edu
Sponsors
