Myo Thida

Myo Thida is an Assistant Professor of Computer Science at Bard College at Simon’s Rock, USA. She holds a PhD in Computer Vision from Kingston University, UK, and degrees in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. Her research focuses on computer vision, data science, and machine learning, particularly in video and image analytics, abnormality detection, and social impact-driven projects. She has contributed to institutions like Chiang Mai University (Thailand), A*STAR (Singapore), and co-founded a data analysis service company. Myo is an advocate for STEM education equity, leading initiatives like Women in AI Myanmar Chapter and receiving accolades such as the ASEAN Science Diplomat Award (2021) and recognition for leadership in the Asia Pacific (2023).

Education:

• PhD in Computer Vision, Kingston University, UK (2008–2013)
• MEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore (2005–2008)
• BEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore (2005–2008)

Research Interests: Myo’s work bridges technical innovation with societal challenges, emphasizing video analytics for surveillance, data-driven policy-making, and educational reform. Her projects include developing AI tools for social good, such as digital disparity analysis in Myanmar and gender equality initiatives in STEM. She collaborates globally, having taught in Singapore, Myanmar, Bhutan, Thailand, and the USA since 2004.

Recent Research Trends: Her publications span AI-driven solutions for digital inequality, gender equity, and interdisciplinary education frameworks. She combines computer vision techniques (e.g., abnormality detection in crowds) with policy analysis, showcasing cross-disciplinary impact. Recent work highlights AI’s role in addressing global challenges like workforce skill gaps and sustainable digitalization.

Awards & Recognition:

• ASEAN Science Diplomat Award (2021)
• US ASEAN Science & Technology Fellowship (2019)
• Leading Light for Kindness and Leadership (Asia Pacific, 2023)

Grants & Advising: As a US-ASEAN fellow, she developed Myanmar’s science policy framework. She advises on education reform and leads the Women in AI initiative. Her consulting work includes projects on curriculum design (e.g., Chiang Mai University’s CMU-CDIO syllabus) and corporate data strategies.

Labs & Collaborations: Engages in interdisciplinary projects at Simon’s Rock, focusing on AI ethics and community outreach. Her work often involves partnerships with NGOs and policymakers to translate technical research into actionable social solutions.