Throughout my career, I've built a rich network of international connections, collaborating with researchers, organizations, and companies across the globe to advance innovation in AI and machine learning.
Collaborated with Stanford's AI Lab on advanced machine learning algorithms for autonomous systems, resulting in a published paper at NeurIPS.
Contributed to the development and international adaptation of the "Elements of AI" online course, making AI education accessible globally.
Partnered with KAIST's Vision Lab on developing novel computer vision algorithms for medical imaging applications.
Partnered with Mohamed bin Zayed University of Artificial Intelligence on developing machine learning solutions for climate change challenges.
Presented research on "Probabilistic Graph Neural Networks for Uncertainty Quantification" and participated in the "AI for Science" workshop.
Presented a paper on "Self-Supervised Visual Representation Learning" and served as a panel member for the "Computer Vision in Healthcare" discussion.
Participated in the "Robust ML" workshop and presented research on adversarial defense mechanisms for deep learning models.
Presented research on "Detecting and Mitigating Language Model Biases" and participated in the "Ethics in NLP" workshop as a discussion facilitator.
Countries
Research Partners
Global Conferences
International Projects
Named among the top 30 emerging AI researchers by IEEE Intelligent Systems journal in 2022.
Serving on the international AI ethics advisory board for the Global AI Initiative since 2021.
Invited as a visiting professor at three prestigious international universities for AI research and teaching.
Serving on the editorial boards of two international machine learning journals since 2020.