ADM Lab currently has two openings for Ph.D. students. Full scholarships (RA or TA) will be provided. Working on both fundamental methodologies and application-oriented research related to the automation and intelligence of manufacturing, our members are multi-skilled (modeling, simulation, data analytics, hardware, experiment, etc.) We are very proud of our accomplishments over the years as […]

UPDATE: The positions have been filled. Thank you for your attention. If you are still interested in our research, you can consider taking Prof. Shao’s ME 498 “Manufacturing Data and Quality Systems” offered in Fall 2019. ADM Lab is seeking self-motivated undergraduate research assistants to conduct research for a project related to ultrasonic metal welding for […]

Dr. Chenhui Shao offered a new course in mechanical engineering—ME 498 Manufacturing Data and Quality Systems—to prepare students for the Big Data era in manufacturing. The course structure introduces students to industrial environments, and its content prepares students for the future of the manufacturing industry. Most current manufacturing courses are more or less outdated, and […]

With the rapid development of sensing, communication, computing technologies, and analytics techniques, today’s manufacturing is marching towards a new generation of sustainability, digitalization, and intelligence. Even though the significance of both sustainability and intelligence is well recognized by academia, industry, as well as governments, and substantial efforts are devoted to both areas, the intersection of […]

A multi-object tracking algorithm developed by Siyuan Chen is ranked top in the tracking task leaderboard of the UA-DETRAC dataset. UA-DETRAC is a challenging real-world multi-object detection and multi-object tracking benchmark. The dataset consists of 10 hours of videos captured with a Cannon EOS 550D camera at 24 different locations at Beijing and Tianjin in China. […]

With the rapid development of sensing, communication, and computing technologies and infrastructure, today’s manufacturing industry is marching towards a big data era and a new generation of digitalization and intelligence. The availability of big data provides us with a golden opportunity to promote smart manufacturing. Nevertheless, the deployment and popularization of big data analytics in manufacturing are still at its nascent stage. […]