Prof Dr. Mahdieh Abbasalizad Farhangi | Medicine | Best Researcher Award

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Prof Dr. Mahdieh Abbasalizad Farhangi | Medicine | Best Researcher Award

Prof Dr. Mahdieh Abbasalizad Farhangi, Tabriz University of medical science, Iran.

Professor Mahdieh Abbasalizad Farhangi, born on June 14, 1986, in Tabriz, Iran, is a distinguished academic in the field of Community Nutrition. She serves as a Professor at the School of Nutrition and Food Sciences, Tabriz University of Medical Sciences. Fluent in Persian, English, and Turkish, she has made significant contributions to nutritional science, particularly in obesity, metabolic disorders, and public health nutrition.

👩‍🔬 Profile

Googlescholar

🎓 Education

Professor Farhangi obtained her academic qualifications from Tabriz University of Medical Sciences, where she has been actively involved in both teaching and research. Her educational background laid a strong foundation for her extensive work in nutrition and dietetics.

🧪 Experience

With over 40 research projects to her name, Professor Farhangi has delved into various aspects of nutrition, including obesity, diet therapy, vitamins, food security, pediatrics, and metabolic syndrome. She has served as an academic editor for the journal PLOS ONE for more than five years and is an Associate Editor for the journal “Advances in Obesity, Weight Management & Control.”

🔬 Research Interests

  • Etiology, epidemiology, and treatment of obesity and related disorders such as metabolic syndrome, cardiovascular diseases, autoimmune disorders, and non-alcoholic fatty liver disease.

  • Study of vitamins and minerals, their deficiencies, and associated chronic abnormalities.

  • Exploration of genetics and genomics concerning nutrition-related diseases, with a focus on obesity and its co-morbidities.

🏆 Awards & Recognitions

Professor Farhangi’s contributions to nutritional science have been recognized both nationally and internationally. She ranks among the top researchers in her field, reflecting her impactful research and dedication to advancing public health nutrition.

📚 Publication Top Notes

Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to …

The global burden of childhood and adolescent cancer in 2017: an analysis of the Global Burden of Disease Study 2017

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Framingham risk score for estimation of 10-years of cardiovascular diseases risk in patients with metabolic syndrome

White blood cell count in women: relation to inflammatory biomarkers, haematological profiles, visceral adiposity, and other cardiovascular risk factors

The effects of Spirulina Platensis on anthropometric indices, appetite, lipid profile and serum vascular endothelial growth factor (VEGF) in obese individuals: A randomized …

Gut microbiota-derived metabolite trimethylamine N-oxide (TMAO) potentially increases the risk of obesity in adults: An exploratory systematic review and dose-response metaanalysis

Body image perception and its association with body mass index and nutrient intakes among female college students aged 18–35 years from Tabriz, Iran

Oral coenzyme Q10 supplementation in patients with nonalcoholic fatty liver disease: effects on serum vaspin, chemerin, pentraxin 3, insulin resistance and oxidative stress

Anemia predicts poor outcomes of COVID-19 in hospitalized patients: a prospective study in Iran

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,