On August 29, 2022, the Post and Telecommunications Institute of Technology welcomed Professor Yinyu Ye from the Institute of Computational Engineering and Mathematics, Stanford University (USA) to visit and have a special talk on “Mathematical Optimization for Machine Learning and Decision”.
Attending the meeting and the talk, on the side of PTIT, there were Assoc.Prof.Dr. Dang Hoai Bac, President, Assoc.Prof.Dr. Tran Quang Anh, Vice President, together with leaders and lecturers of the Faculties of Information Technology 1, Information Security, Electronic Engineering 1, Telecommunications 1, Multimedia…, leaders of the Department of Science, Technology Management and International Cooperation and related departments. Specially, there were excellent students and who are interested in the topic of the shared content. PTIT is also pleased to welcome Professor, Doctor of Science Nguyen Si Mao, Chairman of the Science and Technology Association of University of Science and Technology, Hanoi Union of Science and Technology Associations to attend.
Speaking at the opening ceremony, Assoc.Prof.Dr. Tran Quang Anh, Vice President of PTIT affirmed that this is a meaningful event for PTIT in general and for lecturers, researchers and students in particular. The talk by Professor Ye is a valuable opportunity for teachers and students to acquire and exchange knowledge with professors from leading universities in the world such as Stanford University.
Professor Yinyu Ye’s sharing provided students with in-depth knowledge on machine learning optimization. Do Hoang Khoi Nguyen, a student of information technology major, said excitedly, “Participating in the talk and meeting with Professor Yinyu Ye has helped me be more motivated in scientific research activities. Professor Ye has interesting explanations going from theory to practice that are easy to understand for students. I hope there are more meetings with famous professors like this so that students like us can broaden our worldview about academics.” Nguyen and the students attending the talk were very eager to ask questions about the optimal application of mathematics to elucidate the principles in the study of machine learning models, deep learning. “Scientific knowledge is vast and meaningful. I am also applying to continue my graduate studies at universities around the world.”
Assoc.Prof.Dr. Dang Hoai Bac, President of PTIT expressed his pleasure to welcome Professor Yinyu Ye, “This is an activity in line with PTIT’s development orientation of education, training and science and technology in the future. In the coming time, we are to establish extensive and effective international cooperation relationships.” On behalf of all faculties, staff and students of PTIT, the President received the book “Linear and Nonlinear Programming” authored by Professor Yinyu Ye and respectfully signed for the PTIT.
Stanford University is one of the best rated education in the world. Professor Yinyu Ye is currently the K.T. Li Professor of Engineering at Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering, Stanford University. He received the B.S. degree in System Engineering from the Huazhong University of Science and Technology, China, and the M.S. and Ph.D. degrees in Engineering-Economic Systems and Operations Research from Stanford University. His current research interests include Continuous and Discrete Optimization, Data Science and Application, Algorithm Design and Analysis, Computational Game/Market Equilibrium, Metric Distance Geometry, Dynamic Resource Allocation, and Stochastic and Robust Decision Making, etc. He is an INFORMS (The Institute for Operations Research and The Management Science) Fellow since 2012, and has received several academic awards including: the inaugural 2006 Farkas Prize on Optimization, the 2009 IBM Faculty Award, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization (every three years), the winner of the 2014 SIAM Optimization Prize awarded (every three years), the 2015 SPS Signal Processing Magazine Best Paper Award, etc.. He has supervised numerous doctoral students at Stanford who received various prizes such as INFORMS Nicholson Prize, Student Paper Competition, the INFORMS Computing Society Prize, the INFORMS Optimization Prize for Young Researchers. According to Google Scholar, his publications have been cited 50,000 times.