Trung Tran

Trung Tran

I’m an AI researcher and engineer passionate about transforming cutting-edge AI models into practical, real-world solutions.

I currently work as a Data Scientist at Pixta Vietnam, and serve as CTO of ClientScan, one of the world’s fastest facial recognition systems — co-developed with Oxford University advisers and guided by my co-founder Mr.Robin Paine, the former CTO of the London Stock Exchange and London Metal Exchange. We also co-founded TakeNote.ai, a voice AI startup in Oxford focused on meeting transcription and summarization.

My interests lie at the intersection of foundation models, computer vision, vision-language models, voice processing, and agentic systems.

Contact: trungtranthanh1990 at gmail dot com

NEWS

Research Highlights
  • I’m excited to share that I’ve been selected as a application reviewer for the 2026 MenaML Winter School, organized by experts from leading institutes such as Google DeepMind, Qatar Computing Research Institute (QCRI), KAUST, Apple, and InstaDeep.

  • Excited to share that we've just submitted our new paper on CULTURAL BIASES to ICLR 2026. This work explores cultural bias IN LLMS FOR ASIAN LANGUAGES — preprint coming soon. Submitted to ICLR 2026
  • I am a Fatima Pre-Doctoral Fellow where I am working with Ph.D Ismet Dagli developing techniques to enhance performance and optimize memory for LLMs / LVMs / foundation models on edge devices.
    • New Chapter Published
      • I'm excited to announce my latest chapter, "Generative AI: Ethical Challenges for Teachers and Learners." This work, co-authored with TT Tran, is featured in the 2024 edition of Generative AI in Teaching and Learning. It explores the delicate balance between leveraging AI and maintaining ethical standards in education.
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        MEDIA

      • Sorgenia e Pi School cambiano la User Experience
      • Sorgenia sperimenta un nuovo chatbot
      • Sorgenia e Pi School: al via un chatbot per un servizio clienti personalizzato
      • ClientScan Launches an AI Facial Recognition Solution for the Hospitality Sector
      • ClientScan launches facial recognition product to help self-excluded gamblers
      • Facial recognition firm ClientScan to Pitch! At Regulating the Game London 2023
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