Our research is focused on graph algorithms, from both a theoretical perspective, and a practical perspective motivated by real-world problems in Bioinformatics, such as genome sequencing technologies ...

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...

Abstract: Traffic Engineering (TE) in large-scale networks like cloud Wide Area Networks (WANs) and Low Earth Orbit (LEO) satellite constellations is a critical challenge. Although learning-based ...

A Deep Reinforcement Learning Algorithm with Multi-view Graph Attention Mechanism for Flexible Job Shop Scheduling Problem - githubxrw/FJSP-DRL-PPO ...

When a deadly listeria outbreak swept across Canada in 2024, the initial headlines focused on recalls and rising case counts.

TikTok super app now books hotels, streams full songs, tracks FIFA World Cup scores, and is pursuing a fintech license in ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

Carnegie Mellon University offers an interdisciplinary Ph.D program in Algorithms, Combinatorics, and Optimization (ACO). This program is the first of its kind in the United States. It is administered ...

A former X executive is betting sports fans need their own social media network.

AI agents are your new colleagues - how to get the best results ...

Dublin-based BeaconSites reports a 14% Perplexity AI citation rate in SurgeGraph's June 2026 benchmark, sevenfold above ...