Prof. Qiang HeΒ –Β biomedical engineeringΒ –Β Best Researcher Award
Northeastern University | China
Β Β Β Profil
πCurrent 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.
πPublication 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.
πOngoing Research
Professor He is actively involved in several funded projects: Joint Key Project of the National Natural Foundation of China (2022) β 890,000 yuan Key R&D Projects of the Ministry of Science and Technology (2021) β 800,000 and 540,000 yuan respectively, Youth Project of the National Natural Science Foundation of China (2022) β 300,000 yuan ,Liaoning Provincial Joint Fund (2023) β 80,000 yuan
π¬Β Research Interests
His research focuses on:π Machine Learning and Social Network Analytics π₯ Healthcare Informatics and Infectious Disease Informatics π Advanced Data Mining Techniques
πAcademic 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 (2018β2019), where he gained significant exposure to international research standards.
πScholarships 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.
π§¬BioinformaticsΒ
Leveraging machine learning, Professor He applies bioinformatics to analyze healthcare datasets, providing valuable insights into infectious diseases and improving predictive models for patient care.
πProfessional AssociationsΒ
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
Β πTraining & WorkshopsΒ
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.
π€Oral Presentations andπ£οΈThought LeadershipΒ
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.
π§βπ¬Tasks Completed as a ResearcherΒ
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
πSuccess FactorsΒ
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.
π§ͺPublications & 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.
π Conclusion
Β Professor Qiang Heβs 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.