Paniti Achararit

Assistant Professor & Medical AI Innovator

As a lecturer and medical ai innovator, I offer a unique combination of elite academic training and proven execution. My journey through top global institutions has equipped me to build award-winning medical AI from the ground up, specifically tailored for the Thai context while meeting international standards.

Global R&D Journey

Tokyo Institute of Technology

Ph.D. & M.Eng in Computer Engineering, specialized in AI/ML.

Stanford University

Innovation Masters Series: Focused on Design Thinking and commercializing technology.

Technische Universität Wien & Toshiba R&D

Researched Neural Network architectures for next-generation AI hardware accelerators.

Applied Innovation & Leadership

Medical AI Research Lead

Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy

  • Led the end-to-end creation of novel medical AI, from grant acquisition to deployment.
  • Architected a Gold Medal-winning AI for Breast Cancer Screening using advanced Neural Architecture Search (NAS) for telemedicine.
  • Directed R&D for two Silver Medal-winning technologies at the Geneva Exhibition of Inventions, proving global competitiveness.

Founder & International Strategy Lead

Global August Company

  • Built a venture bridging international tech firms (USA/Japan) and local Thai development capabilities, mastering cross-border project execution.

Selected Publications

Impacted Lower Third Molar Classification... using Deep Learning

BMC Oral Health (2025)

doi.org/10.1186/s12903-025-05425-4

Sex estimation from hand X-ray images using deep-learning techniques: A study of limited bone regions

Legal Medicine (2025)

doi.org/10.1016/j.legalmed.2025.102612

A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population

International Symposium on Computer-Based Medical Systems (2025)

doi.org/10.1109/CBMS65348.2025.00104

Neural Architecture Search for Medicine: A Survey

Informatics in Medicine Unlocked (2024)

doi.org/10.1016/j.imu.2024.101565

AI-Based Diagnosis of Oral Lichen Planus Using Deep CNNs

European Journal of Dentistry (2023)

doi.org/10.1055/s-0042-1760300

APNAS: Accuracy-and-Performance-Aware NAS

IEEE Access (2020)

doi.org/10.1109/ACCESS.2020.3022327