The IEEE Transportation Electrification Council invites Ph.D. graduates to submit for the IEEE TEC Prize Ph.D. Thesis Talk. The competition is to provide an international platform for all Ph.D. researchers in the field of Transportation Electrification to present their project — both in academia and industry.
This program recognizes not just quality research, but an engaging presentation understandable for people not versed in the researcher’s narrow specialty.
Who is Eligible
- Ph.D. graduates who defended their Ph.D. or doctoral certificate or have proof of a final thesis from January 2025 to May 2026
- Graduates from any location area welcome
- Current IEEE TEC Participants. You must join TEC prior to submitting your application or you will not be eligible to win.
The Ph.D. thesis should be in the field of interest of the IEEE Transportation Electrification Council. Possible topics include, but are not limited to:
- Electric vehicles
- Charger, conductive and wireless
- Power electronic devices (Si and wide bandgap) and applications for electric transportation
- Electric rail, Electric rolling stock
- Power train for electric mobility
- Electric machines for electric mobility
- Packaging, integration, and advanced manufacturing for electric mobility
- Transportation systems
- EMI and EMC for electric transportation
- Renewable and alternative energy for vehicle
- Smart grids and micro-grids for transportation, and vehicle to grid
- Electrical energy storage for vehicle
- Security and Information Technology for vehicle and smart mobility
- Electric aircraft, electric vessel
- Light rail, trams, catenary
- Wireless power transfer (WPT) for mobility
Important dates
- Submission platform opens: 7 January 2026
- Submission Deadline: 31 May 2026
- Announcement of results: July 2026
- Ceremony: To be Announced (In Person/Virtual)
Submission Details
Only electronic submissions are accepted using the link below. The submission must include the following information to identify the participant.
- Full Name
- University/Institute of your Ph.D. study
- IEEE Membership Number
- Date of Graduation or date of defense
- Proof of Ph.D. degree or Defense (eg certificate, letter)
- Thesis Title
- Brief abstract (< 300 words)
- Keywords (3-5)
The submission must be in English; however, a non-English certificate may become with a certified translation document. Please note: the video is limited to 3 minutes, it can be uploaded to the system or provided a link.
Incidents of misconduct including, but not limited to, violations of IEEE’s publication policies, will be strongly considered by the programs committee and may be grounds for denial for winning or leadership position.
Prize
The winner(s) will receive a certificate and US$500. A ceremony will be organized, either online or at a TEC-sponsored Conference. A total of up to five winners will be presented.
Guidelines for the video
- The video must first start with an introduction with the title of the thesis, the name of the participant, the supervisor’s name, and name of the institution.
- The presentation must be in English.
- A pure voice-over PowerPoint presentation is not suggested.
- Subtitles may be useful for some complicated technical jargon.
- The video resolution should be high, 1080p or above. (MP4 format is preferred)
Intellectual Property and copyright
- No copyright issues are involved with your presentation.
- Participants must ensure that the intellectual property (IP) has been protected before their submission.
- Consult your supervisor or project sponsor to clear any copyright /IP issues.
- The copyright of the video submitted to the IEEE will be rested with IEEE.
How to Submit
The video should be submitted clicking the button below.
Previous Winners
Congratulations to the 2025 Winners:
- Condition and Health Monitoring of Three-phase Inverter for Traction Application by Xing Wei, Aalborg University
- Architectural Design of Hybrid Battery Energy Storage Systems with Integrated Active Balancing and Reconditioning Control by Marium Rasheed, Utah State University
- Highly Efficient Inductive Power Transfer across Wide Operating Range by Gangwei Zhu, Delft University of Technology
- State of Health Estimation and Prediction for Lithium-ion Batteries Based on Transfer Learning by Yunhong Che, Aalborg University
- High-Performance Design for A Dual-motor Dual-source Off-road AWD Electric Vehicle by Thi Phuong Chi Nguyen, Université de Sherbrooke –
Congratulations to the 2022 Winners:
- Non-isolated High Gain DC-DC Converters for Electric Vehicles and Renewable Energy Applications by Ankul Gupta, Arizona State University, USA
- Design, Modeling and Control of Asymmetric Multilevel Hybrid Railway Power Conditioner in Co-phase Traction Power Supply System by LI LIU, University of Macau, Macau
- Advanced High-power-density Disc-type Permanent Magnet Synchronous Machines for Aircraft Electric Propulsion by Zaixin Song, City University of Hong Kong, Hong Kong
- Model Predictive Controller Design and Application of Multiphase Permanent Magnet Machines by Liu Senyi, City University of Hong Kong, Hong Kong
- LLC Resonant Converters with Wide Voltage Gain Range Applications: Challenges and Solutions by Yuqi Wei, University of Arkansas, USA
Congratulations to the 2021 Winners:
- Integrating Various Operating Conditions into Real-Time Identification and Energy Management of a Fuel Cell Vehicle by Mohsen Kandidayeni, Université du Québec à Trois-Rivières (University of Quebec in Trois-Rivieres), Canada
- Fault Diagnosis and Fault-Tolerant Control of Multiphase Motor Drives by Xueqing Wang, Southeast University, Bangladesh
- Modulation and Control of Modular Multilevel Converters for Transportation Electrification by Deepak Ronanki, OntarioTech University
Congratulations to our 2025 Winners!
Xing Wei, Aalborg University – Condition and Health Monitoring of Three-phase Inverter for Traction Application
Marium Rasheed, Utah State University – Architectural Design of Hybrid Battery Energy Storage Systems with Integrated Active Balancing and Reconditioning Control
Gangwei Zhu, Delft University of Technology – Highly Efficient Inductive Power Transfer across Wide Operating Range
Yunhong Che, Aalborg University – State of Health Estimation and Prediction for Lithium-ion Batteries Based on Transfer Learning
Thi Phuong Chi Nguyen, Université de Sherbrooke – High-Performance Design for A Dual-motor Dual-source Off-road AWD Electric Vehicle