DataFun Summit 2022 – Decision Intelligence Online Conference: Speaker Lineup and Topics

On September 24, 2022, the DataFun Summit 2022 Decision Intelligence online conference hosted a series of talks by senior experts from academia and industry, focusing on advanced optimization, simulation, and AI applications in logistics and supply chains.

Zhuang Xiaotian – Senior Director of JD Logistics Intelligent Supply Chain, with a background in AI engineering and industrial engineering, will share insights from his extensive experience in demand forecasting, inventory management, and logistics network optimization.

Zhang Yuli , Special Researcher and PhD supervisor at Beijing Institute of Technology, will present "Joint Location‑Inventory Model and Algorithm for the EV Centralized Charging Decentralized Swapping Service Network," covering battery‑swap network design, stochastic operations, and a submodular optimization algorithm that outperforms commercial solvers.

He Zhou , Associate Professor at the University of Chinese Academy of Sciences, will introduce a "Subject Simulation Decision Framework and Applications," detailing its concepts, implementation challenges, and use cases in supply‑chain management.

Yan Liang , Senior Algorithm Expert at JD Logistics, will discuss the "One‑Tower‑Two‑Tower" intelligent decision system deployed in JD Logistics, illustrating how integrated optimization and digital‑twin technologies enable resilient, cost‑effective network planning.

Bai Yuehui , Senior Algorithm Engineer at KuaiShou (formerly ByteDance), will present the "MindAlpha" high‑performance distributed machine‑learning platform, describing its architecture, automatic optimization features, and role in large‑scale advertising decision making.

Wu You , Product Expert at Alibaba DAMO Academy Decision Intelligence Lab, will showcase the "MindOpt" optimization solver, sharing practical experiences in cloud‑resource management and winning strategies from international virtual power‑plant competitions.

Attendees will gain practical knowledge on uncertainty‑driven service network location, advanced queuing models, hierarchical algorithms for complex operations research problems, and the latest AI‑driven decision‑support tools.