目前研究重点为：工业智能，即运用数据科学、知识科学以及人工智能技术解决工业界的生产问题。

应用包括：故障检测、故障诊断、态势感知、寿命预测、智能运维等。

涉及计算机科学相关技术包含：数据管理、数据分析、特征工程、自然语言理解、知识图谱、机器学习、深度学习、数据挖掘、数据仓库等。

国家自然科学基金项目： “Research on Key Issues in Integration Technology of Prognostics and Health Management (PHM) and Design of Testability (DoT) for Complex Engineering Systems”, sponsored by National Natural Science Foundation of China.

保密项目：“X Data Analytics and Knowledge Management”, sponsored by XXX Institute.

研究院合作项目： “Healthcare Data Management and Analytics”, sponsored by Academy of Medical Science of China.

工业智能项目：“Remaining Useful Life Prediction on Electronic Systems/Products”, sponsored by Liangxin Co.ltd (002706).

Jianhua Lyu, Yiran Ren, Zeeshan Abbas, Baili Zhang:
Reliable Route Selection for Wireless Sensor Networks with Connection Failure Uncertainties. Sensors 21(21): 7254 (2021)

Jianhua Lyu, Rongrong Ying, Ningyun Lu, Baili Zhang:
Remaining useful life estimation with multiple local similarities. Eng. Appl. Artif. Intell. 95: 103849 (2020)

Jianhua Lu, Ningyun Lu, Sipei Ma, Baili Zhang:
Edit Distance Based Similarity Search of Heterogeneous Information Networks. DEXA (2) 2018: 195-202

Jianhua Lu, Baili Zhang, Xueyan Wang, Ningyun Lu:Multidimensional Analysis Framework on Massive Data of Observations of Daily Living. HIS 2017: 121-127