Frontiers in Power Electronics and AI for Sustainable Infrastructure – IEEE Guest Talks
This event features two distinguished researchers from Tallinn University of Technology (TalTech), Estonia, presenting cutting-edge research in power electronics and intelligent control systems. The talks will cover sustainable DC power architectures for data centers and AI-based adaptive drive systems for urban mobility.
In addition to the technical presentations, the session aims to foster international collaboration by exploring joint research opportunities and strengthening IEEE activities between Estonia and Sweden Section. The event is designed for Master’s students, PhD candidates, and researchers from Electrical Engineering, Power Systems, Mechatronics, and Computer Science.
Date and Time
Location
Hosts
Registration
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- Campus Valla
- Linköping, Ostergotlands lan
- Sweden
- Starts 10 April 2026 02:00 PM UTC
- Ends 23 April 2026 12:00 PM UTC
- No Admission Charge
Speakers
Niwton of Tallinn University of Technology (TalTech), Estonia
Power-Optimized, Reliable, Intelligent, and Sustainable DC Module (PRISM) for Data Center Servers
This talk presents the PRISM concept, a next-generation DC module designed to improve efficiency, reliability, and sustainability in data center power systems. The research focuses on optimizing power delivery architectures, reducing energy losses, and enabling intelligent energy management to meet the growing demands of modern data centers.
Biography:
Niwton Gabriel Feliciani dos Santos is a Postdoctoral Researcher in the Power Electronics Research Group at Tallinn University of Technology. His research focuses on advanced power electronics, DC systems, and energy-efficient solutions for modern infrastructures. He is actively involved in IEEE as the Vice Chair of the Estonia Section Young Professionals Affinity Group, contributing to professional development and international collaboration initiatives.
Email:
Address:Tallinn University of Technology (TalTech), , Tallin, Estonia
Mahmoud Ibrahim of Tallinn University of Technology (TalTech), Estonia
AI-Based Adaptive Drive Control System for Sustainable Urban Mobility
This talk explores the development of AI-based adaptive control systems for electric drives aimed at improving efficiency and sustainability in urban transportation. The research highlights intelligent control techniques that enhance performance, reduce energy consumption, and support the transition toward smart and sustainable mobility solutions.
Biography:
Mahmoud Ibrahim Hassanin Mohamed is a researcher at Tallinn University of Technology in the Department of Electrical Power Engineering and Mechatronics. His work focuses on intelligent control systems, electric drives, and AI applications in sustainable mobility. He is also actively engaged in IEEE Vehicular Technology Society (VTS) Chapter activities, promoting innovation and collaboration in smart transportation systems.
Email:
Address:Tallinn University of Technology (TalTech), , Tallin, Estonia
Agenda
14:00 – 14:30
Talk 1: Power-Optimized, Reliable, Intelligent, and Sustainable DC Module (PRISM) for Data Center Servers
- 20 minutes presentation
- 10 minutes Q&A
14:30 – 15:00
Talk 2: AI-Based Adaptive Drive Control System for Sustainable Urban Mobility
- 20 minutes presentation
- 10 minutes Q&A
15:00 – 16:00
IEEE Session:
- Overview of IEEE activities (Young Professionals, VTS Chapter)
- Discussion on collaboration opportunities
- Open interaction with participants
Media
| Brainstorming_Session | 2.52 MiB | |
| Flyer | 1.35 MiB | |
| Speaker_1 | 1.24 MiB | |
| Speaker_2 | 1.21 MiB |