Qiang He | biomedical engineering | Best Researcher Award

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Prof. Qiang He  –  biomedical engineering  –  Best Researcher Award

Northeastern University | China

      Profil

Scopus

Scholar

📍Current Position

Professor Qiang He is currently serving as an Associate Professor at the College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. With a robust background in computer application technology and a multidisciplinary approach, he is a key contributor to cutting-edge research initiatives in machine learning, data mining, and healthcare informatics.

 

📝Publication Achievements

Professor He has an impressive portfolio of over 90 publications in top-tier international journals and conferences, including: IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, NeurIPS
His publications include 23 CCF A-tier papers and 4 highly cited/hot papers, achieving a highest single-paper impact factor of 10.4 and 864 total citations in SCI-indexed journals.

 

🔍Ongoing Research

Professor He is actively involved in several funded projects: Joint Key Project of the National Natural Foundation of China (2022) – 890,000 yuan Key R&D Projects of the Ministry of Science and Technology (2021) – 800,000 and 540,000 yuan respectively, Youth Project of the National Natural Science Foundation of China (2022) – 300,000 yuan ,Liaoning Provincial Joint Fund (2023) – 80,000 yuan

 

🔬 Research Interests

His research focuses on:🌐 Machine Learning and Social Network Analytics 🏥 Healthcare Informatics and Infectious Disease Informatics 📈 Advanced Data Mining Techniques

 

🎓Academic Background

Qiang He earned his Ph.D. in Computer Application Technology from Northeastern University in 2020. During his academic journey, he was also a visiting Ph.D. researcher at the prestigious Nanyang Technological University, Singapore (2018–2019), where he gained significant exposure to international research standards.

 

🏆Scholarships and Awards

Professor He has secured numerous awards and funding opportunities, such as the Top-Level Postdoctoral Fund (2021) and the Liaoning Provincial Doctoral Initiation Project (2021). His cumulative research funding demonstrates his ability to lead significant research endeavors.

 

🧬Bioinformatics 

Leveraging machine learning, Professor He applies bioinformatics to analyze healthcare datasets, providing valuable insights into infectious diseases and improving predictive models for patient care.

 

🌐Professional Associations 

A distinguished member of several professional organizations: Editorial board member of PLOS ONE and Machine Learning Research, Vice-Chairman of CCF Yocsef Shenyang ,Executive member of CCF Internet Specialised Committee

 

 📚Training & Workshops 

Professor He has both organized and participated in numerous international workshops and conferences, sharing his insights on AI-driven healthcare solutions and data-centric methodologies.

 

🎤Oral Presentations and🗣️Thought Leadership 

His presentations, spanning across topics like healthcare data analytics and network systems, have been well-received at major conferences, reflecting his ability to effectively communicate complex ideas.

 

🧑‍🔬Tasks Completed as a Researcher 

Professor He has excelled in: ,Leading multidisciplinary research teams, Securing large-scale funding for research projects ,Publishing high-impact studies in collaboration with global experts

 

🚀Success Factors 

Key factors contributing to his success: Interdisciplinary Approach: Bridging technology with healthcare. Global Exposure: Research experience in Singapore and collaborations with international scholars. Commitment to Excellence: Maintaining high standards in all professional endeavors.

 

🧪Publications & Laboratory Experience

Publications: His research contributions include groundbreaking studies indexed in SCI and Scopus, with a focus on both theory and application.
Laboratory Work: Professor He leads innovative experiments in data-driven healthcare solutions, combining AI technologies with practical implementations.

 

🔍 Conclusion

 Professor Qiang He’s contributions to machine learning, healthcare informatics, and social network analytics exemplify his role as a pioneering researcher. With his vast publication record, leadership in prestigious projects, and dedication to interdisciplinary studies, he stands as a model of excellence in academia. Recognition through the Best Researcher Award would be a fitting acknowledgment of his outstanding achievements.

📚Publications

  • Service recommendation in JointCloud environments: An efficient regret theory-based Qos-aware approach

               Authors: Shi, J., Rao, R., Song, Y., … Huang, M., Das, S.K.

                Journal:  Computer Networks, 

    • Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification

        Authors: Guo, Z., Hou, D., He, Q.

        Journal:  Mathematics, 

    • Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy

        Authors: Yang, K., Wang, X., He, Q., … Liu, Y., Tarchi, D.

        Journal:  IEEE Transactions on Wireless Communications, 

    • Single-Domain Generalized Predictor for Neural Architecture Search System

        Authors: Ma, L., Kang, H., Yu, G., Li, Q., He, Q.

        Journal:  IEEE Transactions on Computers, 

    • Multi-Feature Rumor Suppression Mechanism Based on Community Division in Social Networks

        Authors: Gao, F., Wang, X., He, Q.

        Journal:  IEEE Transactions on Network Science and Engineering,