Ruixin Zhang | latent profile analysis | Best Researcher Award

Published on 10/07/202510/07/2025 by Research Data Analysis

Ms. Ruixin Zhang | latent profile analysis | Best Researcher Award

The First Affiliated Hospital of Chongqing Medical University | China

Author Profile

Orcid

🎓 Education & Clinical Foundations

From earning her Bachelor’s (2014–2018) and Master’s in Nursing (2018–2021) at Chongqing Medical University to her current role in the Orthopaedics Department at the First Affiliated Hospital of Chongqing Medical University, Ms. Zhang brings academic depth and clinical experience in elderly and orthopedic patient care.

🔍 Research & Project Leadership

She currently leads a ¥300K hospital-level project on day-surgery meniscus postoperative care, and has contributed to Chongqing-wide initiatives in stroke exercise therapy, cloud rehabilitation, cranial monitoring, and neuro-critical nutrition—blending innovation with practical impact.

🧠 Focus Areas & Expertise

Ms. Zhang specializes in geriatric rehabilitation, post‑operative orthopedic care, stroke recovery, and pulmonary infection prevention in neurologically ill patients—applying both ethical and evidence-based care.

📚 Publications & Knowledge Leadership

As first or co-first author, she’s published in journals like BMC Nursing (2025) bmcnurs.biomedcentral.com+3bmcnurs.biomedcentral.com+3link.springer.com+3, Nursing Open (2024), and European Journal of Clinical Nutrition (2022), and authored a monograph on stroke hemiplegia rehabilitation—underscoring her commitment to advancing nursing science.

🏆 Recognition & Professional Growth

Her role as principal investigator on major grants, multiple peer-reviewed publications, and the publication of a monograph highlight her strengths in project management, team leadership, and clinical practice innovation.

Publications

Latent profile analysis of moral courage and coping style among nursing interns: a multicenter cross-sectional survey

Authors: Xue Wang, Ruixin Zhang, Jie Chen, Jiao Wu, Zhi Huang
Journal: BMC Nursing
Year: 2025
Date Published: July 1, 2025
DOI: 10.1186/s12912-025-03180-z
ISSN: 1472-6955

2. The influence of psychological resilience and nursing practice environment on nurses’ moral courage: A cross‐sectional study

Authors: Ruixin Zhang, He Shan, Tang Yongli, Jie Chen, Chen Qianzhu, Wang Xue
Journal: Nursing Open
Year: 2024
Date Published: April 2024
DOI: 10.1002/nop2.2163

3. An mNUTRIC-based nomogram for predicting the in-hospital death risk in patients with acute stroke

Authors: Rui-xin Zhang, Wei-wei Zhang, Ye-tao Luo, Guangwei Liu
Journal: European Journal of Clinical Nutrition
Year: 2022
Date Published: October 2022
DOI: 10.1038/s41430-022-01127-0
ISSNs: 0954-3007 (Print), 1476-5640 (Online)

Muhammed Benli | Quantitative Social Science Research | Best Researcher Award

Published on 01/07/202501/07/2025 by Research Data Analysis

Assoc Prof Dr. Muhammed Benli | Quantitative Social Science Research | Best Researcher Award

Bilecik Şeyh Edebali University | Turkey

Author Profile

Orcid

👨‍🏫 Summary

Assoc. Prof. Dr. Muhammed Benli is a dedicated scholar in the fields of Development and International Economics. With a strong academic foundation built across Turkey and the United States, he focuses on global trade, economic development, and policy analysis. Currently serving as an Associate Professor at Bilecik Şeyh Edebali University, he has guided numerous graduate students and actively contributes to both academic and administrative functions.

🎓 Education

Dr. Benli earned his Ph.D. in Economics from Suffolk University in 2016 with a dissertation titled “Essays on Development Economics and International Economics,” under the supervision of Prof. Jonathan Haughton. He holds a Master’s degree in Economic Policy from Boston University (2012), and dual Bachelor’s degrees in International Finance (2009) and Economics (2008) from Istanbul Bilgi University, both completed with full scholarships. He also completed an Associate Degree in Computer Programming through Atatürk University’s Open Education Faculty in 2022.

💼 Professional Experience

He began his academic career as a Research Assistant at Suffolk University and later joined Bilecik Şeyh Edebali University, where he has served as Research Assistant (2016–2017), Assistant Professor (2017–2020), and currently, Associate Professor (2020–Present) in the Department of Economics.

📚 Academic Supervision

Dr. Benli has supervised a wide range of graduate theses focusing on contemporary economic issues, including renewable energy and trade, export diversification, financial development, agricultural growth, and economic complexity in Turkey. As of 2025, he has successfully guided more than eight Master’s theses to completion.

🔬 Research Interests

His research primarily explores themes within Development Economics, International Trade, and Economic Growth. Specific interests include export diversification, financial and economic freedom, energy economics, and the role of economic complexity in development.

🖥️ Technical Skills

He is proficient in statistical and economic software including MATLAB, SPSS, and Stata. He has received formal training in MATLAB and participated in national workshops on Meta-Thematic Analysis. He is fluent in English and a native Turkish speaker.

👨‍🏫 Teaching Experience

Throughout his academic career, Dr. Benli has taught courses in International Economics, Macroeconomics, Development Economics, Economic Policy, and Global Trade. His teaching approach integrates theory with real-world applications, preparing students for advanced academic and policy-oriented work.

🏛️ Administrative Roles

He has served as a member of the Executive Board of the Continuing Education Application and Research Center at Bilecik Şeyh Edebali University since 2019, contributing to the university’s outreach and adult education programs.

🏅 Awards & Scholarships

Dr. Benli was awarded a prestigious government scholarship from the Turkish Ministry of National Education for his Master’s and Doctoral studies abroad in 2008. He has also received national certifications for his participation in MATLAB training and thematic research workshops.

Publications

Gelişmekte Olan Ülkelerde Enflasyon ve Yolsuzluk Dinamikleri: Yönetişim Kalitesinin Rolü
- Authors: Necati Çiftçi, Muhammed Benli, Yakub Hiçkiran
- Journal: Bandırma Onyedi Eylül Üniversitesi Sosyal Bilimler Araştırmaları Dergisi
- Year: 2025
Global dimensions of human freedom: a two-decade analysis using fuzzy set theory and TOPSIS analysis
- Author: Muhammed Benli
- Journal: Quality & Quantity
- Year: 2025
A fuzzy approach to economic freedom performance
- Authors: Muhammed Benli, Ahmet Çağlar
- Journal: International Studies of Economics
- Year: 2025
The Impact of Export Diversification on Economic Growth by Provinces in Türkiye
- Authors: Muhammed Benli, Sümeyra Gültekin
- Journal: Trends in Business and Economics
- Year: 2025
Testing obesity Kuznets curve for Türkiye
- Authors: Muhammed Benli, Y. Acar, S. Baş
- Journal: Obesity Medicine
- Year: 2024

Rashed Nawaz | Public health | Best Researcher Award

Published on 01/07/202501/07/2025 by Research Data Analysis

Dr. Rashed Nawaz | Public health | Best Researcher Award

Luohe Medical College | China

Author Profile

Scopus

👤 Summary

I am Rashed Nawaz, a motivated academic and researcher with a PhD in Public Policy and Administration from Xi’an Jiaotong University, China. With over 10 years of experience in research and teaching, I specialize in health policy, public administration, and human resource management. I have published extensively in top-tier SSCI journals and am passionate about contributing to academic excellence and policy research globally.

🎓 Education

I earned my PhD from Xi’an Jiaotong University (2018–2023), focusing on health human resources and maternal-child healthcare outcomes. Before that, I completed an MS in Management Sciences from Hazara University, Pakistan, and a BBA (Honors) in Finance from the same university. I also hold a Higher Secondary Certificate in Pre-Engineering from BISE Pakistan.

💼 Professional Experience

Currently, I am a Research Associate at Luohe Medical College, Henan, China. Previously, I worked as a Lecturer at the Hope Institute of Science and Technology, Pakistan, and as a Visiting Lecturer at Hazara University. My roles included teaching, research, and administrative duties, contributing to the academic development of students at both undergraduate and postgraduate levels.

📚 Teaching Experience

I have taught courses such as Human Resource Management, Business Research Methods, Strategic Management, Financial Management, and Entrepreneurship. My teaching experience spans bachelor’s and master’s programs, where I have guided students in both theoretical concepts and practical applications.

🔬 Research Interests

My research focuses on public policy, health equity, health human resources, and innovation management. I have a particular interest in maternal and child health outcomes, health system performance, and socioeconomic inequalities in healthcare access.

🛠️ Technical Skills

I am proficient in statistical software including SPSS, AMOS, and Smart-PLS, and have strong skills in MS Office tools such as Word, Excel, and PowerPoint. I am fluent in English and Urdu, with intermediate proficiency in Chinese (HSK Level III).

📄 Academic Publications & Citations

I have authored and co-authored over 25 peer-reviewed articles in high-impact SSCI journals including PLoS ONE, BMC Public Health, and Journal of Health, Population and Nutrition. My publications address key issues in health policy, healthcare workforce distribution, and public health outcomes in Pakistan and China.

Publications

Association of Health Human Resources Distribution and Neonatal Mortality: The Mediating Role of Maternal and Child Healthcare Services

Authors: Rashed Nawaz, Zhou Z., Shaoqing G., Khalid N.
Journal: Journal of Health, Population and Nutrition
Year: 2025 (Accepted on June 3, 2025)

Association between Antenatal Care Visits and Under-Five Mortality: An Analysis of the Pakistan Demographic and Health Surveys

Authors: Nawaz R., Khalid N., Zhou Z.
Journal: PLoS ONE
Year: 2025 (Accepted on January 2025)

Effect of Human Resources for Health Distribution to Improve Maternal and Child Healthcare Outcomes in the Public Healthcare System of Pakistan

Authors: Rashed Nawaz, Zhou Z., Khalid N.
Journal: BMC Public Health
Year: Under Review (Revision Submitted February 2025)

Association of Health Human Resources Distribution and Under-Five Mortality Based on the Context of Environmental Hygiene

Authors: Nawaz R., Zhou Z., Khalid N.
Journal: Humanities and Social Sciences Communications
Year: Under Review (Revision Received March 2025)

Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003–2013

Authors: Wang D., Nawaz R., Fan X., Shen C., Lai S., Zhou Z., Gao J.
Journal: Healthcare (MDPI)
Year: 2025 (Published January 2025, Vol. 13, No. 2, p.178)

Ramadas Narayanan | Energy and Utilities Analytics | Best Researcher Award

Published on 06/06/202506/06/2025 by Research Data Analysis

Dr. Ramadas Narayanan | Energy and Utilities Analytics | Best Researcher Award

CQ University Australia | Australia

Profile Verified

Orcid | Scopus | Google Scholar

👤 Summary

Dr. Ramadas Narayanan is an accomplished mechanical engineer, academic, and researcher with over 25 years of international experience across Australia, India, and Malaysia. Currently serving as Senior Lecturer and Discipline Leader in Mechanical Engineering at Central Queensland University (CQU), he specializes in clean energy systems, solar-assisted cooling technologies, and agricultural mechanisation. His extensive contributions to research, teaching, and professional development have been recognized with prestigious awards, fellowships, and over $4.75 million in competitive grant funding.

🎓 Education

Dr. Narayanan holds a PhD in Mechanical Engineering from the University of South Australia (2012), where he also earned a Graduate Certificate in Research Commercialization. He has a Graduate Certificate in Tertiary Teaching with High Distinction from Curtin University (2007), a Master of Technology (First Class Honours) in Mechanical Engineering (1996), and a Bachelor of Technology in Mechanical Engineering (1992), both from the University of Kerala, India.

💼 Professional Experience

Dr. Narayanan has held multiple leadership and academic roles. He is currently the Discipline Leader and Senior Lecturer in Mechanical Engineering at CQU Bundaberg (2023–present). He previously led the Engineering Mobility Program (2021–2023) and the Clean Energy Cluster (2014–2020). He also serves as Adjunct Senior Research Fellow at the University of South Australia’s Barbara Hardy Institute since 2014. Earlier roles include Energy Project Officer at the South Australian Government’s DIMTRE and various academic positions at UniSA since 2008.

🏅 Academic Achievements & Recognitions

Dr. Narayanan is a recipient of the Australian Award for University Teaching (AAUT) in 2021 and the Vice Chancellor’s Awards for Outstanding Contributions to Teaching at CQU. He is a Senior Fellow of the UK Higher Education Academy (2022) and has won several accolades for research including the AIRAH Award for Refrigeration & Air-conditioning Research Excellence. He was also the winner of UniSA’s 3-Minute Thesis Competition in 2011.

📚 Teaching Experience

With a teaching career spanning over 15 years, Dr. Narayanan has delivered core mechanical engineering units such as Thermodynamics, Fluid Mechanics, Engineering Dynamics, and Energy Conversion. He is well-known for his engaging teaching style and has received multiple student-nominated teaching awards, demonstrating his commitment to high-quality education and mentorship.

🔬 Research Interests

His research interests include solar-assisted and desiccant-based cooling systems, energy-efficient building technologies, sustainable mechanical design, agricultural mechanisation, and clean energy systems. He has successfully designed innovative desiccant wheels and participated in global research efforts focused on renewable energy and sustainability.

🛠️ Technical Skills

Dr. Narayanan has advanced expertise in thermal systems modeling and simulation using ANSYS, MATLAB, and TRNSYS. He is proficient in the design of HVAC systems, post-harvest agricultural equipment, and experimental thermal testing. He is also experienced in research commercialization and cross-disciplinary innovation.

🔍 Research Grants

He has led and contributed to major research initiatives totaling over $4.75 million in funding. Notable projects include the National Sesame Mechanisation Program ($2M), the Great Northern Spices CRCNA Project ($2.5M), and multiple CSIRO and KFAS-funded clean energy and solar cooling projects. He often serves as the Lead or Theme Leader in these multi-institutional collaborations.

🌐 Professional Affiliations

Dr. Narayanan has served as Chair of Engineers Australia’s Bundaberg Regional Committee (2018–2020) and is a member of AIRAH’s Solar Cooling group. He holds editorial roles in several international journals including Sustainability (MDPI) and Building and Environment (Elsevier). He is an active contributor to REN21, a global renewable energy policy network.

📚 Selected Publication

Heat Pumps with Smart Control in Managing Australian Residential Electrical Load during Transition to Net Zero Emissions

- Authors: Adrian Rapucha, Ramadas Narayanan, Meena Jha
- Journal: Energies
- Year: 2024

Implementing Cool Roof and Bio-PCM in Portable Cabins to Create Low-Energy Buildings Suitable for Different Climates

- Authors: Ahmad Sedaghat, Arash Mahdizadeh, Ramadas Narayanan, Hayder Salem, Wisam K. Hussam, Mohamad Iyad Al-Khiami, Mahdi Ashtian Malayer, Sayed M. Soleimani, Mohammad Sabati, Mohammad Rasul
- Journal: Sustainability
- Year: 2023

Energy and Comfort Evaluation of Fresh Air-Based Hybrid Cooling System in Hot and Humid Climates

- Authors: Ramadas Narayanan, Subbu Sethuvenkatraman, Roberto Pippia
- Journal: Energies
- Year: 2022

Food waste as a source of sustainable energy: Technical, economical, environmental and regulatory feasibility analysis

- Authors: Ramadas Narayanan
- Journal: Renewable and Sustainable Energy Reviews
- Year: 2022

Comparative study of thermal degradation kinetics of two woody biomass samples for bio-oil production

- Authors: Ramadas Narayanan
- Journal: Sustainable Energy Technologies and Assessments
- Year: 2022

Nan Hu | Genome editing | Best Researcher Award

Published on 09/05/202509/05/2025 by Research Data Analysis

Dr. Nan Hu | Genome editing | Best Researcher Award

Tarim University | China

Publication Profile

Scopus

Education & Experience 📚

Dr. Nan Hu is a distinguished academic and technical leader at Tarim University, where he serves as a lecturer at the College of Horticulture and Forestry. He has been recognized by the Henan Provincial Department of Education for his academic leadership and technical contributions. Dr. Hu is also the deputy director of the Key Laboratory of Facility Agriculture in Southern Xinjiang and heads the Vegetable Science discipline at Tarim University. His extensive experience in both teaching and research has contributed greatly to the growth and development of the university’s academic programs and scientific achievements.

Suitability Summary ✅

Dr. Hu’s expertise positions him as a key leader in the fields of plant genetics and horticulture. His work in tomato lateral branch development and plant genome editing aligns perfectly with both current agricultural challenges and future innovation needs. As a research leader and educator, he has demonstrated exceptional skills in bridging scientific research with practical applications, making him highly suitable for advancing crop development and agricultural technologies.

Professional Development 📜

Dr. Nan Hu has continuously advanced in his professional career, overseeing research projects funded by major Chinese institutions, including the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His leadership has helped propel the scientific community’s understanding of plant biology, especially in relation to horticulture. His role in talent development and support, such as managing projects within the Populus Euphratica Outstanding Youth Science and Technology Talent Support Program, further demonstrates his commitment to nurturing future generations of scientists.

Research Focus 🔬

Dr. Hu’s research primarily focuses on tomato lateral branch development, the regulation of apical dominance, and the application of genome editing technologies in plants. His innovative studies aim to enhance tomato crop yield and plant architecture, which has a direct impact on agricultural productivity. Furthermore, his work in improving germplasm resources through genetic modifications contributes to increasing the diversity and quality of crops. His groundbreaking research in plant genome editing also holds potential for revolutionizing agricultural practices.

Honors & Awards 🏆

Dr. Nan Hu has been recognized for his outstanding contributions to the field of horticulture. His research includes a highly cited paper published in leading journals such as Trends in Biotechnology and New Phytologist. In addition to his academic recognition, he has been honored by the Henan Provincial Department of Education for his leadership in both education and research. Dr. Hu has also secured prestigious research funding, including grants from the National Natural Science Foundation of China and the China Postdoctoral Science Foundation, underscoring his standing as a leading figure in his field.

📚 Top Notes Publication

Article Title: SlMYC2-SlMYB12 module orchestrates a hierarchical transcriptional cascade that regulates fruit flavonoid metabolism in tomato

Authors: H. Deng, M. Wu, Y. Wu, D. Grierson, M. Liu
Journal: Plant Biotechnology Journal
Year: 2025

Article Title: A vacuolar invertase gene SlVI modulates sugar metabolism and postharvest fruit quality and stress resistance in tomato

Authors: Y. Wu, H. Chen, M. Wu, Y. Wang, M. Liu
Journal: Horticulture Research
Year: 2025

Article Title: pHNRhCas9NG, single expression cassette-based dual-component dual-transcription unit CRISPR/Cas9 system for plant genome editing

Authors: N. Hu, R. Peng, F. Yan
Journal: Trends in Biotechnology
Year: 2025

Article Title: Genome-wide analyses of member identification, expression pattern, and protein–protein interaction of EPF/EPFL gene family in Gossypium

Authors: P. Li, Z. Zhao, W. Wang, Q. Lú, Y. Yuán
Journal: BMC Plant Biology
Year: 2024

Martin Hegen | Human Dose Predictions | Best Researcher Award

Published on 02/05/202502/05/2025 by Research Data Analysis

Dr. Martin Hegen | Human Dose Predictions | Best Researcher Award

Pfizer | United States

PUBLICATION PROFILE

Scopus

🧑‍🔬 INTRODUCTION

Dr. Martin Hegen is a highly accomplished Research Fellow at Pfizer, widely respected for his leadership and scientific expertise in immunology and inflammation. With more than 20 years of experience in the pharmaceutical industry, Dr. Hegen has made substantial contributions to drug discovery and development, driving projects from portfolio entry to clinical proof-of-concept. His work bridges rigorous scientific research with strategic leadership, ensuring high-quality results and consistent compliance with regulatory and ethical standards.

🎓 EARLY ACADEMIC PURSUITS

Dr. Hegen began his academic journey in Germany, earning a Ph.D. in Immunology magna cum laude from Johannes Gutenberg-University of Mainz in 1993, after receiving an M.Sc. in Biology in 1988. He then undertook a postdoctoral fellowship at the Dana-Farber Cancer Institute, Harvard Medical School, where he explored critical signaling mechanisms in T cell activation involving CD26 and CD45 isoforms. This foundational research into immune system regulation shaped his scientific perspective and laid the groundwork for a successful career in translational immunology.

🧪 PROFESSIONAL ENDEAVORS

Dr. Hegen’s professional career spans over two decades of increasing responsibility and impact. He joined Wyeth Research in 2001, focusing on inflammatory diseases and advancing several therapeutic antibody programs. Following Pfizer’s acquisition of Wyeth in 2009, Dr. Hegen transitioned into the Inflammation & Immunology Research Unit at Pfizer, where he held several key roles including Senior Principal Scientist, Associate Research Fellow, and currently, Research Fellow. Throughout these positions, he provided scientific and managerial leadership for autoimmune disease models, led project teams, and mentored research scientists, including Ph.D.-level staff. He has directed collaborative programs across international sites and partnered with academic and biotech institutions to accelerate therapeutic innovation.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Hegen’s scientific contributions are focused on autoimmune and inflammatory diseases, such as rheumatoid arthritis, lupus, psoriasis, inflammatory bowel disease, and multiple sclerosis. His expertise includes the use of gene-deficient mice and other advanced preclinical models to validate therapeutic targets. He has led efforts in both biologic and small molecule programs, guiding lead molecule selection and supporting successful clinical trials. His deep understanding of disease pathogenesis and experience with regulatory filings has been vital in bringing investigational drugs like Tofacitinib through the pipeline.

🌍 IMPACT AND INFLUENCE

Throughout his career, Dr. Hegen has left a lasting impact through both scientific contributions and leadership. Under his supervision, multiple scientists have received Individual Performance Awards. His strategic guidance and scientific rigor have influenced key decision-making processes, from target prioritization to portfolio entry and in-licensing evaluations. His work on clinical programs such as Ozoralizumab and other Janus kinase inhibitors has directly shaped Pfizer’s therapeutic portfolio in immunology.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Hegen has a strong publication record and has served on editorial boards for leading journals such as The Journal of Immunology, Inflammation Research, and Journal of Leukocyte Biology. He has contributed peer reviews and editorial oversight for decades, influencing scholarly standards in immunology and inflammation research. His expertise is frequently sought after in reviewing cutting-edge scientific findings, and he has held roles as associate editor and invited chairman at international immunology conferences.

🏆 HONORS & AWARDS

Dr. Hegen’s achievements have been recognized by prestigious organizations. He received a postdoctoral fellowship from the German Research Society and was honored with Wyeth’s “Above and Beyond Award” in 2003. He was selected for elite leadership training programs at Wyeth (Eagles Program) and Pfizer (Cornerstones of Management), highlighting his commitment not only to science but also to cultivating leadership excellence.

🧬 PATENTS

Dr. Hegen is listed as an inventor on multiple patents, emphasizing his role in therapeutic innovation. These include methods for using antibodies against IL-22, anti-M-CSF antibodies for treating inflammatory disorders, and the development of modified single-domain antibody molecules targeting TNF-α. His patents contribute to the intellectual property backbone supporting Pfizer’s clinical development programs.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Martin Hegen’s legacy is defined by scientific excellence, impactful leadership, and the successful advancement of multiple therapeutic programs. His work has significantly contributed to the understanding and treatment of complex autoimmune diseases. As an active member of the American College of Rheumatology and American Association of Immunologists, he continues to shape the future of immunology research. Dr. Hegen remains committed to mentoring the next generation of scientists and driving forward innovations that will improve patient care worldwide.

📝 FINAL NOTE

Dr. Martin Hegen represents the highest standard of professionalism, scientific insight, and collaborative leadership in biomedical research. His career reflects a rare combination of deep academic training, pharmaceutical innovation, and strategic execution. As immunology continues to evolve, Dr. Hegen’s enduring influence will be felt in both clinical outcomes and the growing body of scientific knowledge advancing human health.

📚 TOP NOTES PUBLICATIONS

Cure as a treatment target in rheumatoid arthritis and systemic sclerosis—achievable aim or mission impossible? FOREUM stimulates new industry-academia collaboration

- Authors: Kenneth F. Baker, J. Spierings, Martin Brom, Stephen Oliver, Richard Veselý
- Journal: Rheumatology (exact journal not specified, likely from context)
- Year: (Not explicitly provided, but likely 2023 or 2024)

RORγt inhibition ameliorates IL-23 driven experimental psoriatic arthritis by predominantly modulating γδ-T cells

- Authors: Céline Mortier, Eric Gracey, Julie Coudenys, Dirk Elewaut, Koen J.T. Venken
- Journal: Rheumatology
- Year: 2023

A Novel C-C Chemoattractant Cytokine (Chemokine) Receptor 6 (CCR6) Antagonist (PF-07054894)…
(Truncated title: “…Distinguishes between Homologous Chemokine Receptors, Increases Basal Circulating CCR6⁺ T Cells, and Ameliorates Interleukin-23-Induced Skin Inflammation”)

- Authors: Wei Li, Kimberly K. Crouse, Jennifer Alley, Michael S. Vincent, Gabriel Berstein
- Journal: Journal of Pharmacology and Experimental Therapeutics
- Year: 2023

Studies with neutralizing antibodies suggest CXCL8-mediated neutrophil activation is independent of C-C motif chemokine receptor-like 2 (CCRL2) ligand binding function

- Authors: Zhenwei Su, Jonathan M. Brooks, Jeffrey W. Pelker, Alfredo Darmanin Sheehan, Joseph J. Brennan
- Journal: PLoS ONE
- Year: 2023

Mohammad Belal | Policy Implications | Best Researcher Award

Published on 21/04/202521/04/2025 by Research Data Analysis

Mr. Mohammad Belal | Policy Implications | Best Researcher Award

Aalto University | Finland

Publication Profile

Google Scholar

Biography of Mr. Mohammad Belal 👨‍💻

👨‍💻 Passionate Data Science & Machine Learning Enthusiast

Mohammad Belal is a driven researcher and technology enthusiast specializing in Data Science, Machine Learning, and Natural Language Processing (NLP). With a keen interest in solving social-centric problems, he is currently pursuing his Doctoral Research at Aalto University in Finland (2023-2027). His academic journey has been marked by a constant desire to understand and leverage data for impactful solutions.

🎓 Education

Mohammad holds a Master’s in Computer Application (MCA) from Aligarh Muslim University (AMU), where he achieved a remarkable CGPA of 9.32 and was among the top 3 in his class. He was awarded the prestigious University Merit Scholarship and actively contributed as a member of the Training and Placement Team. Prior to this, he completed his Bachelor’s in Computer Application (BCA), achieving a CGPA of 7.66 while working on a cab-hiring web application project.

🔬 Research Interests and Projects

Mohammad’s research interests revolve around exploring the intersection of technology and society. His ongoing research at Aalto University focuses on the association between internet usage and psychological well-being. He has previously worked on several impactful projects, including a study of social media usage by regional and national journalists with The News Lab at IIITD, and a sentiment analysis project during Colombia’s national strike using NLP techniques. His work on clustering the neighborhoods of Toronto based on cost of living using machine learning is a testament to his practical skills in data science.

💼 Professional Experience

his professional career, Mohammad has gained extensive experience in data science and business analysis. As a Data Scientist at TCNS Clothing Ltd., he worked on predictive modeling, sales reporting automation, and data-backed decision-making for marketing and sales. He also worked as a Data Analyst for CraftBazar, where he assisted in generating insights from sales data. Additionally, Mohammad has experience as a Web Developer at The Wings of Desire, where he managed the company website and supported event organization, as well as a Content Creator for UC Browser.

🗣️ Workshops and Conferences

Mohammad has actively participated in various workshops and conferences to stay updated in his field. He attended the Responsible AI for Peace and Security conference organized by the United Nations in 2024 and participated in discussions on the ethics of disruptive technology at IIITD Delhi. He has also attended workshops on Data Science using Python and Cyber Security, further strengthening his skills in these areas.

🎓 MOOCs and Certifications

To further his expertise, Mohammad has earned numerous online certifications in data science and machine learning, including a Data Science Professional Certificate from IBM and Neural Networks and Deep Learning from DeepLearning.AI. He has also completed specialized courses in Statistics for Data Science with Python and Computational Thinking for Problem Solving from Coursera and the University of Pennsylvania.

🏆 Awards & Achievements

Throughout his academic journey, Mohammad has been recognized for his outstanding performance. He received the Merit-cum-Means Scholarship from the Indian Government for three consecutive years during his Master’s program. His academic excellence was further acknowledged with a University Merit Scholarship at AMU.

📚 Top Notes Publications

Leveraging ChatGPT as Text Annotation Tool for Sentiment Analysis

- Authors: M Belal, J She, S Wong
- Journal: arXiv preprint
- Year: 2023

Islamophobic Tweet Detection Using Transfer Learning

- Authors: M Belal, G Ullah, AA Khan
- Journal: 2022 International Conference on Connected Systems & Intelligence (CSI)
- Year: 2022

Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

- Authors: AA Khan, M Belal, G Ullah
- Journal: International Conference on IoT, Intelligent Computing and Security: Select
- Year: 2023

Indian Healthcare Infrastructure Analysis During COVID-19 Using Twitter Sentiments

- Authors: N Fatima, M Belal, K Kumar, R Sadaf
- Journal: 2022 International Conference on Decision Aid Sciences and Applications
- Year: 2022

Adapting to Change and Transforming Crisis into Opportunity-Behavioral and Policy Shifts in Sustainable Practices Post-Pandemic

- Authors: E Zaidan, L Cochrane, M Belal
- Journal: Heliyon
- Year: 2025

Feng Tian | Big Data Analytics | Best Researcher Award

Published on 12/04/202512/04/2025 by Research Data Analysis

Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS 💼

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.
Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.
Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).
Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).
First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE ✨

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

- Authors: Not listed in your excerpt, but attributed to the Flynet project
- Journal: Bioinformatics
- Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

- Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*
- Journal: IEEE Access
- Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

- Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ
- Journal: Haematologica
- Year: 2024

PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

- Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*
- Journal: Nature Communications
- Year: 2024

Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

- Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*
- Journal: Advanced Science
- Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

- Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H
- Journal: Frontiers in Public Health
- Year: 2025

Weiguo Cao | medical image processing | Best Innovation Award

Published on 09/04/202509/04/2025 by Research Data Analysis

Dr. Weiguo Cao | medical image processing | Best Innovation Award

Mayo Clinic | United States

Publication Profile

Google Scholar

👨‍💻 Summary

Dr. Weiguo Cao is a Senior Research Fellow at the Mayo Clinic, specializing in computer vision, machine learning, and medical image processing. With a Ph.D. in Computer Science from the Chinese Academy of Sciences, his research bridges cutting-edge AI technologies with healthcare applications, focusing on diagnostic tools and medical image analysis.

🎓 Education

Dr. Cao completed his Ph.D. in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2011. His dissertation was titled “3D Non-rigid Shape Analysis Technology and their Applications.”

💼 Professional Experience

Dr. Cao has held key roles at prestigious institutions. He is currently a Senior Research Fellow at Mayo Clinic (June 2021-present), following his tenure as a Postdoctoral Associate at the State University of New York (2017-2021). Previously, he worked as a Research Scientist at Alibaba Group (2016-2017) and the Institute of Computing Technology, Chinese Academy of Sciences (2011-2016).

📚 Academic Citations

Dr. Cao’s work is widely recognized, with numerous publications in medical imaging, computer vision, and AI. His research outputs have contributed to advancements in medical image segmentation, machine learning algorithms, and deep learning for clinical decision support.

💻 Technical Skills

Dr. Cao is proficient in Python, C++, MATLAB, and R for programming. His technical expertise spans image processing, including texture and shape analysis, medical image segmentation, and feature extraction. He has deep experience in machine learning, working with models like SVM, Random Forest, CNN, and RNN. He’s also skilled in software design, system architecture, and using tools like Keras, TensorFlow, PyTorch, and CUDA.

👨‍🏫 Teaching Experience

Throughout his career, Dr. Cao has mentored students and researchers, offering expertise in image processing, machine learning, and software development. His contributions to educational projects and research have supported the development of new AI applications in healthcare.

🔬 Research Interests

Dr. Cao’s research interests include medical image processing (detection, segmentation, and classification of medical images), machine learning (deep learning models like CNN and RNN for healthcare), pattern recognition, and software design for creating advanced diagnostic tools. His work aims to improve the accuracy and efficiency of clinical decision-making through AI-powered systems.

📚 Top Notes Publications

3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography

- Authors: J. Tan, Y. Gao, Z. Liang, W. Cao, M.J. Pomeroy, Y. Huo, L. Li, M.A. Barish, …
- Journal: IEEE Transactions on Medical Imaging
- Year: 2020

An Investigation of CNN Models for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Datasets

- Authors: Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng …
- Journal: Computerized Medical Imaging and Graphics
- Year: 2019

GLCM-CNN: Gray Level Co-occurrence Matrix Based CNN Model for Polyp Diagnosis

- Authors: J. Tan, Y. Gao, W. Cao, M. Pomeroy, S. Zhang, Y. Huo, L. Li, Z. Liang
- Journal: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics
- Year: 2019

SHREC’08 Entry: 3D Face Recognition Using Moment Invariants

- Authors: D. Xu, P. Hu, W. Cao, H. Li
- Journal: IEEE International Conference on Shape Modeling and Applications
- Year: 2008

Real-Time Accurate 3D Reconstruction Based on Kinect v2

- Authors: Li Shi-Rui, Li Qi, Li Hai-Yang, Hou Pei-Hong, Cao Wei-Guo, Wang Xiang-Dong, …
- Journal: Journal of Software
- Year: 2016

Manjiang Xing | Digital economy | Best Researcher Award

Published on 08/04/202508/04/2025 by Research Data Analysis

Prof. Manjiang Xing | Digital economy | Best Researcher Award

Qilu Institute of Technology | China

Publication Profile

Scopus

INTRODUCTION 👨‍🏫

Xing Manjiang is a distinguished academic and researcher, holding a Ph.D. and serving as a senior engineer and professor at Qilu Institute of Technology in China. He specializes in fields like Digital Economy, Digital Trade, Smart Cities, Artificial Intelligence, and E-commerce, among others. Xing is a key figure in multidisciplinary research, where his work fuses various technologies and business sectors, demonstrating leadership in both academia and the industry. His contributions span across publishing multiple research papers and securing several patents.

EARLY ACADEMIC PURSUITS 🎓

Xing Manjiang’s academic journey began with a Bachelor’s degree in Thermal and Power Engineering from North China University of Science and Technology in 2004. He later pursued a Master’s degree in Project Management at North China Electric Power University, completing it in 2019. Continuing his commitment to academia, he earned a Ph.D. in International Management (Global Business) from Kyonggi University in 2024. These academic milestones laid the foundation for his diverse contributions in both research and teaching.

PROFESSIONAL ENDEAVORS 💼

Throughout his career, Xing has held significant roles both in academia and industry. He is currently serving as a Professor at Qilu University of Technology, where he is involved in research and teaching undergraduate courses such as International Economic Cooperation and Introduction to Big Data. In addition to his academic duties, he worked as a Part-time Technical Director & Financial Director at Mingchuang Kehuan (Beijing) Technology Co. from 2021 to 2024. His industry experience includes positions as a Senior Engineer and Technician in several power generation companies, where he gained expertise in equipment management and infrastructure management.

CONTRIBUTIONS AND RESEARCH FOCUS 💡

Xing’s research primarily focuses on Digital Economy, Smart Cities, Artificial Intelligence, E-commerce, Regional Economy, and Social Efficiency. He has explored the integration of big data and AI with business strategies, such as in cross-border e-commerce and industry innovation. Xing’s ability to bridge technology with business makes his research especially impactful. He’s led several key projects, such as the Sichuan Provincial Science and Technology Department’s Key R&D Project and the China Association of Business Economics 2024 Planning Project, among others.

IMPACT AND INFLUENCE 🌍

Xing’s academic work has made a considerable impact in the fields of digital transformation and economic growth strategies. Through his research, he has contributed to enhancing urban economic efficiency by exploring the potential of smart city development. His insights into digital economy integration and smart energy have been acknowledged in major international journals, helping to advance policies and strategies related to technology and regional economic development. His participation in global trade, economic cooperation, and AI integration has solidified his influence in both academia and industry.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Xing has published numerous influential papers in well-respected journals. Notable among them is his SSCI paper in the International Review of Financial Analysis, titled “Digital Economy, Dual Innovation Capability, and Enterprise Labor Productivity”. His papers are widely cited in top journals, and he has authored and co-authored numerous works that deal with economic productivity, smart city models, and innovative technologies. His patents and edited monographs further attest to his significant academic footprint. He has also authored and edited several important papers, contributing to the broader scientific community’s understanding of digital economies and sustainable development.

HONORS & AWARDS 🏅

Xing Manjiang has earned various professional honors throughout his career. He is a Senior Member of the Chinese Society of Technology Economics and serves on expert committees such as the China Association of Trade in Services and the Shandong Green and Low-Carbon Expert Committee. His leadership in innovation and technical advancements in smart energy and green development has earned him recognition from both industry and academia.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Xing’s legacy is built on his pioneering work in integrating digital economy and smart cities with sustainability. As he continues to contribute to the academic field, he aims to further explore the potential of AI and big data in driving economic transformation. His ongoing projects will continue to shape the way we view technological solutions in business and urban development, ensuring his influence endures in the coming decades.

FINAL NOTE ✨

With a remarkable career marked by deep academic achievements, innovative contributions, and impactful leadership in multiple sectors, Xing Manjiang has solidified his position as a leading academic and researcher in the fields of digital transformation and international trade. His work continues to shape modern understanding and application of artificial intelligence, big data, and smart technologies, paving the way for future breakthroughs that will undoubtedly benefit both academia and industry.

Top Notes Publications 📚

Manjiang Xing, Chi Gong, Gyu-Hyen Moon, Xiaohong Ge

- Title: Digital economy, dual innovation capability and enterprise labor productivity
- Journal: International Review of Financial Analysis
- Year: 2025
- DOI: 10.1016/j.irfa.2025.104005

Manjiang Xing et al.

Title: Optimal Scheme Selection Model of Distributed Photovoltaic Consumption in Smart City Based on Gaussian Mixture Model
Journal: Journal of Nanoelectronics and Optoelectronics
Year: 2024
DOI: 10.1166/jno.2024.3575

Manjiang Xing et al.

- Title: Enhancing urban economic efficiency through smart city development: A focus on sustainable transportation
- Journal: Computers and Electrical Engineering
- Year: 2024
- DOI: 10.1016/j.compeleceng.2023.109058

Xing, Manjiang

- Title: Power Information System Database Cache Model Based on Deep Machine Learning
- Journal: Intelligent Automation & Soft Computing
- Year: 2023
- DOI: 10.32604/iasc.2023.034750

Manjiang Xing et al.

- Title: Research on Smart City Competitiveness Model Based on the Integration of Digital Economy and Smart Energy
- Journal: 무역통상학회지 (Korea Citation Index)
- Year: 2022
- DOI: 10.29331/JKRAIC.2022.12.22.6.277