Computer Science Computer communications (networks)

SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in future 6G environments.

Traffic accidents and last-minute service requests often disrupt logistics efficiency. Dr Tong Hao, Postdoctoral Fellow of the Division of Artificial Intelligence of the School of Data Science at Lingnan University, has developed an Intelligent Vehicle Routing Optimisation System capable of dynamically simulating traffic conditions and task variations to show the most efficient routes for vehicle fleets when faced with sudden congestion or additional deliveries, so as to maximise operational efficiency. His dissertation Advancing optimization and evaluation for dynamic capacitated arc routing problems is the only research project worldwide to receive the 2026 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award.

SUTD researchers have developed a new class of algorithms that enable low-latency, real-time computing and data transmission in large-scale satellite networks, which could lead to smarter, faster global connectivity.

- Joint research team of DGIST Professor JeongHo Kwak and KAIST Professor Jihwan Choi develops a network slicing planning and handover technique for next-generation 6G low LEO satellite networks - This work is expected to contribute to various services using satellite networks in the era of 6G satellite networks in the future such as Starlink and OneWeb

- A joint research team led by Professor Jeongho Kwak of DGIST and Professor Jihwan Choi of KAIST developed efficient edge-computing offloading and network-slicing techniques for next-generation LEO satellite networks. - This technology, which has drawn Elon Musk's attention, is expected to be used for high-speed streaming and computing services in communication-isolated areas during the era of “future satellite networks.”

The SupercomputingAsia Conference recognised key HPC pioneer-leaders with its annual SCA22 Awards. The winning teams from Asia, Australia and the US were also announced at the awards ceremony for the international Data Mover Challenge 2021 (DMC21) competition.

Scientists propose an advanced network architecture that promises to overcome the drawbacks of traditional networks.

M.S. Student Sejin Kim & Jungwoo Kim, won the “Outstanding Paper Award” at the largest computer society conference

Recognized for its Research Outcome Related to PIM-based AI Processor Using TSMC’s Multi-bit RRAM

A research team led by Prof Jeongho Kwak from Daegu Gyeongbuk Institute of Science and Technology (DGIST) has designed a novel system architecture where collaboration between cloud service providers and mobile network operators plays a central role. Such a collaborative architecture would allow for optimizing the use of network, computing, and storage resources, thereby unlocking the potential of various novel services and applications.

A recent study, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has presented an artificial intelligence technology that can predict traffic conditions for the next 5 to 15 minutes at an error rate of less than four kilometers an hour.

A graduate student from South Korea's Ulsan National Institute of Science and Technology (UNIST) has been honored for his outstanding poster presentation at the annual IEEE International Solid-State Circuit Conference (ISSCC).

A user-controlled file security scheme makes it possible to instantly revoke access to files hosted on Internet cloud servers.