Với mục tiêu mang đến cho sinh viên và cộng đồng những bài giảng thực tiễn đến từ doanh nghiệp, trong khuôn khổ hợp tác với Qualcomm AI Research, Trường Công nghệ Thông tin và Truyền thông tổ chức buổi seminar với chủ đề “Efficient Multimodality Encoding” bởi TS. Manh Luong, Research Scientist, và TS. Thinh Phan, Quản lý, Chương trình Qualcomm AI Residency, Qualcomm AI Research
Seminar được tổ chức lúc 15:00 ngày 21/10/2026 tại B1-504, Đại học Bách khoa Hà Nội
Thông tin bài trình bày
Efficient multimodality encoding
Program
Part 1: (Tentatively) Research Seminar (45 minutes)
Tentative topic: Efficient multimodality encoding
Part 2: Qualcomm AI Residency Program Introduction (30 minutes)
Overview of the program, research and engineering opportunities, and the upcoming application cycle.
Bio
Dr. Manh Luong is a senior ML Research Scientist who recently joined Qualcomm with expertise in multimodal machine learning. He earned his Ph.D. from Monash University’s Department of Data Science and Artificial Intelligence, where his research focused on bridging the gap in multimodal representations to enable more effective multimodal understanding. He also completed two internships at Amazon with the IML team, contributing to machine learning solutions at scale.
Manh Luong
Research Scientist
Qualcomm AI Research
Thinh Phan
Manager, Qualcomm AI Residency Program
Qualcomm AI Research
Bio
Thinh Phan is a prominent professional in Vietnam’s technology ecosystem, currently serving as the Program Manager for AI Research at Qualcomm. With a strong academic foundation including an MBA and a Master of International Business from RMIT University, he has built extensive experience in managing cutting-edge talent accelerators. Prior to his role at Qualcomm, where he coordinates advanced AI research initiatives and residency programs, he played a key role in cultivating local tech talent as the AI Residency Program Manager at VinAI.
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