演讲摘要：Data analytics is the frontier basic research direction of industrial intelligence and one of the driving forces to promote scientific development. Systems optimization is the core basic theory of decision-making in smart industry, as well as the heart and engine of data analytics. This talk will discuss some systems modeling methods and optimization solution methods we have been working on. The systems modeling methods are to quantitatively describe different practical problems with proper formulations, including set-packing model, space-time network model, and continuous-time based model. The optimization solution methods include integer optimization, convex optimization, intelligent optimization, and dynamic optimization. This talk will also introduce systems optimization and data analytics of production, logistics, and energy in the steel industry, including: 1) production batching and scheduling in steelmaking/continuous casting, and hot/cold rolling operations; 2) logistics scheduling in loading operations, shuffling/reshuffling, and stowage; 3) data analytics-based energy optimization, including dynamic energy allocation and scheduling, energy analytics covering energy description, diagnosis and prediction; 4) data analytics, including temperature prediction of blast furnace, dynamic analytics of BOF steelmaking process based on multi-stage modeling, temperature prediction of reheat furnace based on mechanism and machine learning, and strip quality analytics of continuous annealing based on multi-objective ensemble learning.
讲者简介：唐立新，中国工程院院士，现为东北大学副校长（科技规划、国际合作），东北大学控制科学与工程（自动化）国家一级重点学科负责人、控制科学与工程国家“双一流”学科建设领导小组组长，智能工业数据解析与优化教育部重点实验室主任、工业智能与系统优化国家级前沿科学中心主任和首席科学家、计算机软件国家工程研究中心工业软件首席设计师。兼任国务院学位委员会第八届控制科学与工程学科评议组成员、教育部科技委人工智能专委会副主任、中国科协优化算法与软件决策咨询首席专家、中国金属学会副理事长、中国运筹学会副理事长兼智能工业数据解析与优化专业委员会主任、清华大学自动化系咨询委员会委员、北京大学大数据分析与应用技术国家工程实验室技术委员会委员。
主要研究方向为工业智能与系统优化理论方法，包括工业大数据科学、数据解析与机器学习、深度学习与进化学习、加强学习与动态优化、凸优化与稀疏优化、整数与组合最优化、计算智能优化等理论方法，智能工业全流程生产与库存计划、生产与物流批调度、生产过程操作优化与最优控制等系统优化技术，过程监测、设备诊断、产品质知等质量解析技术，图像理解、语音识别、可视仿真等工业智能技术，以及在钢铁制造、装备/芯片制造、能源工业、物流系统、信息工业中的工程应用。
现为6个国际工业智能与系统优化领域重要SCI期刊的Associate Editor，国际期刊 Annals of Operations Research 编委，国际期刊 Asia-Pacific Journal of Operational Research 区域主编(Area Editor)。发表在国际工业与系统工程旗舰期刊 IISE Transactions 的论文被评为2017年度“最佳应用论文奖”（Best Applications Paper Award）。
第十九届CCF中国信息系统及应用大会
本期嘉宾
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