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UID:eventsphere-66612@www.knowafest.com
DTSTAMP:20261008T164519Z
DTSTART:20261011T183000Z
DTEND:20261014T182959Z
SUMMARY:A Three-Day National Workshop on AI-Integrated\, Quantum-Aware Embe
 dded Nitride Semiconductor Systems for Sustainable\, High- Efficiency Auto
 nomous Wireless EV Charging Systems 2026
LOCATION:Hindusthan Institute of Technology\, Coimbatore
DESCRIPTION:<p>SCOPE OF THE WORKSHOP<br />\nThis workshop focuses on sustai
 nable\, high-efficiency autonomous wireless EV charging systems using AI- 
 integrated\, and quantum-aware embedded nitride semiconductor technologies
 . It covers wide bandgap devices (GaN/SiC)\, wireless power transfer\, and
  embedded control for smart charging. Emphasis is on AI-driven optimizatio
 n\, predictive maintenance\, and energy management\, along with quantum-in
 spired modelling for performance enhancement. The workshop also explores s
 mart grid integration\, V2G systems\, and renewable energy utilization\, p
 romoting scalable\, intelligent\, and eco-friendly EV charging infrastruct
 ure aligned with net-zero and sustainable mobility goals.<br />\n<br />\nO
 BJECTIVES OF THE WORKSHOP Explore AI- and quantum-enabled embedded nitride
  semiconductor technologies for wireless EV charging.<br />\nUnderstand hi
 gh-efficiency wireless power transfer and embedded system design.<br />\nP
 romote sustainable\, energy-efficient EV charging with smart grid and V2G 
 integration. Encourage research and industry collaboration in next-generat
 ion electric mobility<br />\n<br />\nSCIENTIFIC COVERAGE AND TRAINING MODU
 LES<br />\nAI- and Quantum-Enabled Embedded Nitride<br />\nSemiconductor T
 echnologies<br />\nAutonomous Wireless EV Charging Systems and<br />\nHigh
 -Efficiency Wireless Power Transfer (WPT)<br />\nEmbedded System Design\, 
 Real-Time Control\,<br />\nand Predictive Maintenance<br />\nSustainable E
 V Charging with Smart Grid\, V2G\,<br />\nand Renewable Energy Integration
 <br />\nDigital Twins and Quantum-Aware Algorithms<br />\nFuture Trends in
  Electric Mobility\, Energy- Efficient Power Electronics\, and Smart Charg
 ing Infrastructure<br />\n<br />\nTRAINING MODULES:<br />\nIntroduction to
  Nitride Semiconductors and<br />\nEmbedded Systems<br />\nAI Algorithms f
 or Autonomous EV Charging<br />\nQuantum-Aware Modeling and Optimization<b
 r />\nTechniques<br />\nWireless Power Transfer Principles and High- Effic
 iency Converter Design<br />\nEmbedded System Design for Real-Time Control
  and Monitoring<br />\nSmart Grid\, V2G Integration\, and Renewable<br />\
 nEnergy Applications<br />\nSimulation and Digital Twin-Based Performance<
 br />\nEvaluation<br />\nCase Studies and Hands-On Design Exercises<br />\
 n<br />\nRESOURCE PERSONS<br />\nExperts in AI-Integrated Embedded Systems
 <br />\nSpecialists in Quantum-Aware Semiconductor<br />\nTechnologies<br 
 />\nResearchers in Nitride Semiconductor Devices<br />\n(GaN/SiC)<br />\nP
 rofessionals in Wireless EV Charging and<br />\nPower Electronics<br />\nA
 cademicians in Embedded System Design and<br />\nReal-Time Control<br />\n
 Experts in Smart Grid\, V2G\, and Renewable<br />\nEnergy Integration</p>
URL:https://www.knowafest.com/a-three-day-national-workshop-on-ai-integrate
 d-quantum-aware-embedded-nitride-semiconductor-systems-for-sustainable-hig
 h-efficiency-autonomous-wireles
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