Scholar
Afshin Khadangi
Google Scholar ID: XaKX1Y4AAAAJ
Department of Biomedical Engineering, University of Melbourne
Citations & Impact
Citations
149
H-index
6
i10-index
5
Publications
17
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Ranked 4/800+ in Google TPU Flower Classification Competition; Ranked 8/150+ in MIT ISBI 2012 EM Segmentation Challenge; Freelance projects include EV and Battery Fingerprinting, Load Disaggregation, Carbon Tracking, Solar Disaggregation, Network Tariff Optimization; Developed tools such as EM-Net, EM-Stellar, CardioVinci, DeepFlorist, EVE Optimization; Notable collaborations with NIH, NUS, and UCL.
Research Experience
- 2020 - Further advanced his career by spearheading data science innovations at Tally Group; 2024 - Moved to Luxembourg to advance his research career in the field of LLMs.
Education
- 2009 - Moved to Tehran to pursue studies in Systems Engineering; 2018 - Moved to Australia to pursue his PhD at the University of Melbourne in Biomedical Engineering.
Background
- Research Interests: Multimodal Generative AI, Computer Vision. Professional Field: Biomedical Engineering. Background: With a strong foundation in computer vision and deep learning, he has established innovative solutions to promote sustainability in the energy and utility industries.
Miscellany
- Personal interests include exploring Large Language Models (LLMs) to enhance personal safety, digital legacy, and meaningful human-AI interactions.
