Qiang He | biomedical engineering | Best Researcher Award

Prof. Qiang HeΒ  –Β  biomedical engineeringΒ  –Β  Best Researcher Award

Northeastern University | China

Β  Β  Β  Profil

Scopus

Scholar

πŸ“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.

 

πŸ“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.

 

πŸ”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

 

πŸ”¬Β Research Interests

His research focuses on:🌐 Machine Learning and Social Network Analytics πŸ₯ Healthcare Informatics and Infectious Disease Informatics πŸ“ˆ Advanced Data Mining Techniques

 

πŸŽ“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.

 

πŸ†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

 

Β πŸ“šTraining & 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.

 

🎀Oral Presentations andπŸ—£οΈThought 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.

 

πŸ§‘β€πŸ”¬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

 

πŸš€Success 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.

 

πŸ§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.

 

πŸ” Conclusion

Β 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.

πŸ“šPublications

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

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

    Β  Β  Β  Β  Β  Β  Journal:Β  Computer Networks,Β 

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

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

      Β  Journal:Β  Mathematics,Β 

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

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

      Β  Journal:Β  IEEE Transactions on Wireless Communications,Β 

    • Single-Domain Generalized Predictor for Neural Architecture Search System

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

      Β  Journal:Β  IEEE Transactions on Computers,Β 

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

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

      Β  Journal:Β  IEEE Transactions on Network Science and Engineering,Β 

    Β 

Shen Shuwei | biomedical engineering | Best Researcher Award

Dr. Shen Shuwei – biomedical engineering – Best Researcher Award

Suzhou Institute for Advanced Research, University of Science and Technology of China | China

ProfilesΒ 

Scholar

πŸ“Current Position

He is currently an Associate Researcher at the Suzhou Institute for Advanced Research, University of Science and Technology of China. In this role, he works on the development of cutting-edge medical technologies, particularly in the areas of tissue phantoms and deep learning-based intelligent diagnosis and treatment.

πŸ“Publication AchievementsΒ 

He has made significant contributions to the scientific community with over 30 published papers in high-impact journals such as IEEE Transactions on Medical Imaging, Biomedical Optics Express, Chemical Engineering Journal, and IEEE Journal of Biomedical and Health Informatics. His work is well-recognized, with a citation index of 10(h), showcasing the impact and relevance of his research.

 

πŸ”Ongoing ResearchΒ 

He is currently involved in several innovative research projects, including the development of intelligent diagnosis and treatment systems for skin diseases and the creation of a research and preparation system for tissue oxygenation biomimetic models. These projects aim to revolutionize medical diagnostics and treatment by integrating advanced technologies like 3D printing and deep learning.

πŸ”¬Research InterestsΒ 

His research interests are broad and interdisciplinary, encompassing tissue phantoms, 3D printing, intelligent diagnosis and treatment based on deep learning, and advanced drug delivery systems. His work focuses on creating standardized medical devices and improving diagnostic and therapeutic techniques through technological innovation.

πŸŽ“Academic BackgroundΒ 

Ph.D. in Medical Devices and Intelligent Diagnosis and Treatment from the University of Science and Technology of China (2019). Postdoctoral Research at the First Affiliated Hospital of the University of Science and Technology of China (2019-2021).

πŸ†Scholarships and AwardsΒ 

He has received numerous accolades for his pioneering work, recognizing his contributions to medical device standardization and intelligent diagnosis systems. He has been a recipient of various research grants and scholarships that have supported his innovative projects.

🌐Professional Associations 

He is an active member of several professional organizations, including the IEEE, where he contributes to the advancement of medical imaging and diagnostics. His involvement in these associations ensures he stays at the forefront of technological developments in his field.

Β πŸ“šTraining & WorkshopsΒ 

He has participated in numerous training sessions and workshops, both as a learner and a presenter. These events have provided him with the opportunity to share his knowledge, learn about the latest advancements, and network with other experts in the field.

🎀Oral Presentations 

Throughout his career, heΒ  has delivered many oral presentations at national and international conferences. These presentations have highlighted his research findings and innovations, garnering attention from the global scientific community.

πŸ§‘β€πŸ”¬Tasks Completed as a ResearcherΒ 

As a dedicated researcher, he has completed numerous tasks, including conducting comprehensive studies, developing innovative medical devices, and publishing his findings in reputable journals. His work has significantly advanced the field of medical diagnostics and treatment.

πŸš€Success FactorsΒ 

he attributes his success to his dedication, innovative thinking, and collaborative approach. His ability to integrate advanced technologies with medical research has been a key factor in his achievements.

πŸ§ͺPublications & Laboratory Experience

His extensive publication record and laboratory experience underscore his expertise and commitment to advancing medical science. His work in developing tissue phantoms and intelligent diagnostic systems has been groundbreaking, setting new standards in the field.

Citations

Β  Β CitationsΒ  Β  388

πŸ“šPublications: