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International Academic Awards
Magnetic Field Heats Up Fusion
Wednesday, November 9, 2022
Yunqing Tang wins the SASTRA Ramanujan Prize for 2022
Yunqing Tang will receive the SASTRA Ramanujan Prize for 2022. Read below to know the significance of Tang’s work and the SASTRA Ramanujan Prize.
Yunqing Tang will receive the SASTRA Ramanujan Prize for 2022. Tang is an assistant professor at the University of California, Berkeley, U.S.A.
The award is presented annually to a person aged 32 and below for outstanding contributions in the field of mathematics, influenced by Srinivasa Ramanujan in a broad way. The award is instituted by the Shanmugha Arts, Science, Technology, and Research Academy(SASTRA) in 2005 including a cash prize of $10,000.
Yunqing Tang's work: Significance
- Tang’s work displays a remarkable combination of sophisticated techniques, in which the geometry and arithmetic of modular curves and of Shimura varieties play a vital role.
- Yunqing’s results and methods are liable to have an important impact on future research in this area.
- Tang’s latest joint work with Frank Calegari and Vesselin Dimitrov based on modular equations is of great significance and has connections with Ramanujan’s own work.
- A release by Krishnaswami Alladi, chair of the SASTRA Ramanujan Prize Committee praised Tang as one of the most promising and creative mathematicians of her age and her broad-ranging contributions are compelled to have an impact in the coming decades.
SASTRA Ramanujan Prize: All you need to know
- The SASTRA prize will be honored at the International Conference on Number Theory at SASTRA university during December 20-22, 2022.
- The committee to give the award includes Don Blasius, University of California; Jonathan Pila, Oxford University; Cam Stewart, University of Waterloo; Dan Goldston, San Jose State University; Zeev Rudnick, Tel Aviv University; and Ken Ono, University of Virginia.
Who is Yunqing Tang?
Yunquing Tang was born in China. She has done B.Sc at Peking University in 2011. Later Tang went to Harvard University for higher education. In 2016, Tang completed her Ph.D. at Harvard under the direction of Mark Kisin. She joined UC Berkeley in July 2022 as Assistant Professor after stints at Princeton University as a postdoctoral fellow, Instructor, and Assistant Professor.
Academic - Best Field Service Management Software
Top 5 industrial IoT use cases and examples
As technological innovations continue to expand and redefine how we work, organizations are looking to seize the moment to apply these innovations to accelerate business operations. One of the ways technology has redefined business operations in recent years is through the industrial Internet of Things or industry 4.0.
IIoT refers to the application of IoT in industries to speed up the manufacturing process, gain deep insight into production activities, create a smarter working environment and gain a competitive advantage.
What are the benefits of industrial IoT?
Predictive maintenance
Predictive maintenance is the ability of a machine to self-detect when maintenance is necessary. Before now, organizations relied on periodic in-person services to maintain their equipment, but the emergence of IIoT has opened up new possibilities.
With IIoT solutions, organizations can incorporate wireless IoT sensor data to detect and alert workers of pending maintenance issues. This solution ensures that machines are well taken care of as at when due and boosts machine uptime.
Remote monitoring and control
Remote quality monitoring and control help companies to keep their machines in optimal conditions in hard-to-reach locations. Besides providing regular updates on the mechanical status or quality of out-of-reach machines, IIoT also takes things further by offering the ability to remotely activate equipment, change their setting, and stop their processes as quality control measures.
Energy optimization
IIoT can be applied in optimizing energy consumption in heavy industrial machines and other devices that require a lot of energy to run. With this, it becomes easier for companies to adjust their energy needs automatically during peak production and lower the energy needed when production is less, thereby minimizing energy waste.
Asset tracking
Asset tracking allows companies to track and monitor their critical assets with AI-enabled sensors. Modern supply chain-related businesses rely heavily on asset-tracking solutions to maintain inventory levels, optimize logistics and ensure their critical assets’ safety.
Tuesday, November 8, 2022
Academic Awards Mobile Technology
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