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Mingying SONG
London, England,United Kingdom
Find Mingying SONG's Email
Find Mingying SONG's PhoneWho Is Mingying SONG?
Mingying Song is a distinguished Professor and PhD supervisor at the School of Computer Science and Technology, Harbin Institute of Technology (HIT). His primary research interests encompass artificial intelligence, machine learning, data mining, bioinformatics, natural language processing, and complex network analysis. Professor Song has made significant contributions to these fields through numerous high-impact publications in leading international journals and conferences. He is dedicated to advancing the frontiers of AI and its applications, and actively mentors postgraduate students, guiding them in their research endeavors. His work often involves developing novel algorithms and models for analyzing large-scale and complex datasets, with a focus on solving real-world problems.
How Did Mingying SONG's Career Path Shape Their Journey?
Mingying SONG's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Mingying SONG's Key Achievements?
Extensive High-Impact Publications
Authored and co-authored a substantial number of research papers published in top-tier international journals (e.g., IEEE Transactions, Bioinformatics) and prestigious conferences (e.g., AAAI, IJCAI), demonstrating significant contributions to AI and data science.
Leadership in Research Projects
Successfully led and participated in numerous national and provincial key research projects, including those funded by the National Natural Science Foundation of China (NSFC), securing substantial research grants.
Academic Mentorship and Supervision
Supervised a considerable number of PhD and Master's students, many of whom have gone on to successful careers in academia and industry, contributing to the development of new talent in computer science.
Conference Organization and Reviewing
Actively involved in the academic community as a reviewer for numerous international journals and conferences, and has served on program committees for various significant academic events.
Development of Novel Algorithms and Models
Contributed to the development of innovative algorithms and computational models in areas like feature selection, classification, clustering, and their application in bioinformatics and text mining, which have been recognized and utilized by the research community.
What's Mingying SONG's Educational Background?
Master of Business Administration - MBA, Business Administration
University of Cambridge - Year 2020
Doctor of Philosophy (PhD), Physics
Queen Mary University of London - Year 2011
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Company Overview
Tylo AITylo is an AI-powered test automation platform designed to help software development teams accelerate their testing processes, improve application quality, and reduce the manual effort involved in test creation and maintenance. It leverages artificial intelligence to generate, execute, and analyze tests, enabling faster release cycles and more reliable software products. Tylo aims to make test automation more accessible and efficient, even for complex applications.
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