何强，男，山东枣庄人，工学博士，东北大学医学与生物信息工程学院教授，博士生导师、硕士研究生导师。从事人工智能（模型可解释性、安全性）、机器学习算法（图神经网络、群智能优化、多智能体、深度强化学习）、数据挖掘（网络与医疗大数据分析、医疗信息的传播与推广、药物组合、社交网络分析、谣言控制）、生物医学信息学（传染病信息学、智能医疗、健康信息学）等方向教学研究工作。目前担任IEEE Transactions on Knowledge and Data Engineering、IEEE/ACM Transactions on Networking等多个国际知名期刊审稿人，CCF高级会员、IEEE会员、CCF互联网专委会、网络与数据通信专委会执行委员，担任多个国际/国内期刊编委。在IEEE Transactions on Knowledge and Data Engineering、IEEE/ACM Transactions on Networking、IEEE Transactions on Mobile Computing、IEEE Transactions on Neural Networks and Learning Systems等国际知名期刊和NeurIPS等国际会议上发表或录用论文90多篇，其中SCI检索70多篇，第一作者或通信作者发表CCF A、IEEE/ACM期刊或JCR一区论文20多篇（CCF A、IEEE/ACM Transactions 17篇），高被引/热点论文5篇（一作/通信4篇），授权/申请国家发明专利20多项；负责国家级和省部级项目10余项；荣获辽宁省优秀博士学位论文、辽宁省自然学术成果奖2项、辽宁省计算机学会年会优秀论文一等奖和二等奖各2项，国际会议最佳论文奖2项，国际传染病研究奖--最佳研究奖 International Research Awards on Infectious Diseases (Best Researcher Award)。
研究方向：
1. 人工智能、机器学习算法（图神经网络、群智能优化、多智能体、深度强化学习）
2. 数据挖掘（网络与医疗大数据分析、医疗信息传播、药物组合、社交网络分析、谣言控制）
3. 传染病信息学：传染病模型、传染病抑制机制、传染病溯源机制
4. 智能医疗、健康信息学、公共卫生应急管理
主要成果：
[1] Q. He, H. Fang, J. Zhang, X. Wang. Dynamic Opinion Maximization in Social Networks, IEEE Transactions on Knowledge and Data Engineering, 2021. (SCI, CCF A).
[2] Q. He, Z. Feng, H. Fang; X. Wang, L. Zhao, Y. Yao, K. Yu. A Blockchain-based Scheme for Secure Data Offloading in Healthcare with Deep Reinforcement Learning, IEEE/ACM Transactions on Networking, 2023. (SCI, CCF A).
[3] Q. He, Y. Wang, X. Wang, et al. Routing Optimization with Deep Reinforcement Learning in Knowledge Defined Networking, IEEE Transactions on Mobile Computing, 2023 (SCI, CCF A).
[4] Q. He, Z. Feng, et al. Low-cost Data Offloading Strategy with Deep Reinforcement Learning for Smart Healthcare System, IEEE Transactions on Services Computing, 2024. (SCI, CCF A).
[5] X. Yan, H. Fang, Q. He*, Overcoming Muti-model Forgetting in One-shot Neural Architecture Search via Orthogonal Gradient Learning, NeurIPS, 2023. (CCF A, Regular Paper) 通信作者.
[6] C. Zhang, Q. He*, et al. Intelligent Task Offloading and Resource Allocation in Knowledge Defined Edge Computing Networks, IEEE Transactions on Mobile Computing, 2024 (SCI, CCF A) 通信作者.
[7] Q. He, H. Fang, X. Wang, et al. Multi-stage Competitive Opinion Maximization with Q-learning Approach in Social Networks, IEEE Transactions on Neural Networks and Learning Systems, 2024 (SCI, CCF B).
[8] Q. He, Z. Zhang, H. Fang. Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach, ACM Transactions on Knowledge Discovery from Data, 2024 (SCI, CCF B).
[9] L. Ma, H. Kang, G. Yu*, Q. Li, Q. He*, Single-Domain Generalized Predictor for Neural Architecture Search System, IEEE Transactions on Computers, 2024 (SCI, CCF A) 通信作者.
[10] K. Li, X. Wang*, Q. He*, et al. Computation Offloading in Resource-Constrained Multi-access Edge Computing, IEEE Transactions on Mobile Computing, 2024 (SCI, CCF A) 通信作者.
[11] B. Yi, J. Wang, Q. He*, X. Wang*, et al. Traffic Prediction-based VNF Auto-scaling and Deployment Mechanism for Flexible and Elastic Service Provision, IEEE Transactions on Services Computing 2024. (SCI, CCF A) 通信作者.
[12] Q. He, D. Zhang, et al. Graph Convolutional Network Based Rumor Blocking in Social Networks, IEEE Transactions on Computational Social Systems, 2022. (SCI).
[13] Q. He, W. Qiao. Particle Swarm Optimization Based Opinion Maximization for Suppressing Rumors in Healthcare System, IEEE Transactions on Computational Social Systems, 2023 (SCI).
[14] Q. He, X. Wang, et al. Hybrid Influence Maximization Framework for Opinion Formation in Social Networks, IEEE Transactions on Network Science and Engineering, 2022 (SCI).
[15] S. Chen, Q. He*, et al. Differential Evolution Algorithm Hybridized with Simulated Annealing for Optimal Vaccination Cost strategy, IEEE Transactions on Network Science and Engineering, 2022 (SCI).
联络方式：
联系电话：13840159186
邮箱：heqiang@bmie.neu.edu.cn
办公室：浑南校区生命科学馆B220
个人主页：http://faculty.neu.edu.cn/heqiang/zh_CN/index.htm