Hongnan You | Data Visualization | Excellence in Research

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Ms. Hongnan You | Data Visualization | Excellence in Research

Jiangxi Agricultural University, Segi University | China

Publication Profile

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BIOGRAPHY OF MS. HONGNAN: A DEDICATED SCHOLAR IN THE FIELD OF COMPARATIVE CULTURE AND EDUCATION

INTRODUCTION 🌍

Ms. Hongnan is an esteemed Associate Professor, Master’s Supervisor, and Director of the Foreign Language and Literature Research Center at Jiangxi Agricultural University. She is widely recognized for her contributions to the field of education, particularly in the comparison of Chinese and Western cultures. With a robust teaching career, Ms. Hongnan has significantly impacted academic development both locally and provincially.

EARLY ACADEMIC PURSUITS 🎓

Ms. Hongnan’s academic journey began with a deep passion for languages and culture, which led her to pursue studies in foreign languages and literature. Over the years, she cultivated a solid foundation in both Western history and Chinese culture, which became central to her teaching and research focus. Her early academic work laid the groundwork for her later pursuits in comparative studies and education.

PROFESSIONAL ENDEAVORS 📖

As a dedicated educator, Ms. Hongnan has taught more than 10 university-level courses, including “Comparison of Chinese and Western Cultures” and “Western History and Culture.” She is particularly known for her leadership of the provincial first-class online open course “Comparison of Chinese and Western Cultures,” a course that continues to attract significant interest from students. Her professional endeavors extend beyond teaching, as she has also been involved in a variety of research projects at the provincial and national levels.

CONTRIBUTIONS AND RESEARCH FOCUS  ON DATA VISUALIZATION 🧬

Ms. Hongnan has been instrumental in advancing research on the cultural differences and similarities between China and the West. Her research focuses on comparative culture studies, analyzing historical, social, and philosophical themes across both cultures. She has presided over more than 10 provincial-level research projects and contributed to multiple national-level research funding initiatives, highlighting her strong academic reputation in the field.

IMPACT AND INFLUENCE 🌟

Ms. Hongnan’s influence reaches beyond the classroom. Through her research, courses, and leadership roles, she has cultivated an environment where students and colleagues can explore the complexities of Chinese and Western cultures. Her work has made a significant impact on the academic community, both locally and provincially, and she continues to inspire future generations of scholars.

ACADEMIC CITATIONS AND PUBLICATIONS 📝

With nearly 30 professional papers published in respected academic journals, Ms. Hongnan has established herself as a leading scholar in her field. Her work has been cited in numerous studies and continues to contribute to the discourse surrounding comparative cultural studies and foreign language education.

HONORS & AWARDS 🏅

Ms. Hongnan’s dedication to teaching excellence has earned her recognition through numerous honors and awards. These include:

  • Provincial Quality Online Course Award for the course “Comparison of Chinese and Western Cultures” during the COVID-19 pandemic in 2020.
  • Three-time Excellent Teacher of Jiangxi Agricultural University.
  • Dabeinong Model Teacher Award and Dabeinong Elite Teacher Award in 2020.

These prestigious awards highlight her exceptional contributions to education, particularly during challenging times.

FINAL NOTE 🏆

Ms. Hongnan’s dedication to her students, research, and field has cemented her as a remarkable educator and scholar. Her ongoing contributions to comparative culture studies will undoubtedly continue to shape the future of education at Jiangxi Agricultural University and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As an influential academic figure, Ms. Hongnan’s legacy is defined by her commitment to the development of high-quality education and her pioneering research in comparative cultural studies. Moving forward, she plans to continue expanding her research projects, enhance her teaching methodologies, and inspire a new generation of scholars.

TOP NOTES PUBLICATIONS 📚

Categories, themes and research evolution of the study of digital literacy: a bibliometric analysis
    • Authors: Dongping Wu, Sheiladevi Sukumaran, Xiaomin Zhi, Wenjing Zhou, Lihua Li, Hongnan You
    • Journal: Education and Information Technologies
    • Year: 2024 📚💻📊
Exploring the practice of English major Teaching Reform under the background of “double first-class”
    • Authors: Hongnan You, Zhi Xiaomin
    • Source: Hongnan You
    • Year: 2022 🏫📖🎓
A Study on Teaching Design of high school English Reading from the Perspective of English Learning Activities
    • Authors: Hongnan You, Li Meiyao
    • Source: Hongnan You
    • Year: 2022 🏫📚🔤
Survey report on online learning and mobile App use of college students during the epidemic
    • Authors: Hongnan You, Wu Dongping
    • Source: Hongnan You
    • Year: 2020 💻📱📊
Survey on the basic situation of online learning and mobile App use among college students during the epidemic
    • Authors: Hongnan You, Wu Dongping
    • Source: Science and Technology Vision
    • Year: 2020 💻📱📈

Kwang-Sig Lee | Artificial Intelligence | Excellence in Research

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Dr. Kwang-Sig Lee | Artificial Intelligence | Excellence in Research

Korea University Anam Hospital AI Center | South Korea

Publication Profile

Scopus

Google Scholar

INTRODUCTION 🧑‍🎓

Dr. Kwang-Sig Lee is a distinguished academician, research leader, and innovator specializing in the integration of medical and social informatics. Currently serving as Vice Center Chief at the AI Center of Korea University Anam Hospital, Dr. Lee’s groundbreaking research combines artificial intelligence with diverse datasets, such as genetic, image, numeric, and text data. His expertise in AI-driven systems has led to revolutionary work in healthcare, focusing on predictive AI models and multimodal machine learning. His work has earned significant recognition, influencing both academic circles and real-world medical applications.

EARLY ACADEMIC PURSUITS 🎓

Dr. Lee’s academic journey began at Kon Kuk University in Seoul, South Korea, where he earned a Bachelor’s degree in Economics and Physics (1994-1999), with a GPA of 3.52/4.00. He furthered his studies at Iowa State University (1999-2004), earning dual Master’s degrees in Economics and Sociology, graduating with a GPA of 3.69/4.00. Dr. Lee’s pursuit of advanced studies led him to Johns Hopkins University, where he obtained his Ph.D./MSE in Sociology and Applied Mathematics with a focus on health systems, securing a GPA of 3.63/4.00.

PROFESSIONAL ENDEAVORS 💼

Dr. Lee’s professional career spans across multiple prestigious institutions. At present, he holds the role of Vice Center Chief at Korea University’s AI Center in the Medical School. His previous roles include serving as a Research Associate Professor at the same institution, and Senior Research Fellow positions at various research agencies, including Acorn, Enliple, Agilesoda, and National Health Insurance Service. Dr. Lee has also worked as an Assistant Professor at Yonsei University and Sungkyunkwan University, contributing his expertise in preventive medicine and biostatistics.

CONTRIBUTIONS AND RESEARCH FOCUS ON ARTIFICIAL INTELLIGENCE 🧬

Dr. Lee’s contributions to the field of medical and social informatics are vast and impactful. His research primarily focuses on the application of artificial intelligence (AI) in healthcare, especially through the use of machine learning models, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. His work explores the integration of genetic, image, numeric, and text data, thereby providing a more holistic approach to solving complex health-related challenges. Dr. Lee is known for his expertise in “Wide & Deep Learning,” a method that synthesizes multiple AI approaches to offer more powerful insights and predictive models.

IMPACT AND INFLUENCE 🌍

Dr. Lee’s innovative research has earned significant recognition both in academic and industrial circles. His work has been published in over 45 SCIE-indexed journals with a combined impact factor of 168. His Field-Weighted Citation Impact is 1.76, surpassing the average citation impact of KAIST in 2021. His expertise is frequently sought in both teaching and consultation, with Dr. Lee being an influential member of various academic committees. His ability to mentor graduate students and lead multidisciplinary research projects has significantly shaped the landscape of AI and healthcare.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Lee’s extensive publication record spans notable journals such as Cancers, European Radiology, International Journal of Surgery, and Journal of Medical Systems. His contributions have greatly impacted the scientific community, with a robust body of work related to medical AI, health informatics, and predictive modeling. In addition to his research articles, Dr. Lee has served as a guest editor for journals like Frontiers in Bioscience and Applied Sciences, as well as a reviewer for top-tier publications such as Nature Communications and Journal of Big Data.

HONORS & AWARDS 🏆

Throughout his academic career, Dr. Lee has been the recipient of numerous accolades, including full financial support during his tenure at Johns Hopkins University and Iowa State University. Additionally, he has been awarded for his academic excellence during his undergraduate studies at Kon-Kuk University. Dr. Lee’s consistent recognition for research excellence is evident from his impactful publications and active participation in the academic community, including his involvement in major research projects funded by government agencies.

FINAL NOTE ✨

Dr. Kwang-Sig Lee’s career is a testament to his dedication to advancing AI in medicine and social sciences. His expertise in combining machine learning with healthcare applications has paved the way for new innovations in predictive medicine, offering vital contributions to global healthcare systems. As he continues to lead research projects at the AI Center at Korea University, Dr. Lee’s legacy will be defined by his commitment to improving public health through cutting-edge technology and interdisciplinary research.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Lee’s future endeavors are poised to have a lasting impact on the fields of AI and healthcare. As the Vice Center Chief at one of the top medical schools, his work is expected to advance predictive healthcare models, fostering the development of more personalized and efficient healthcare solutions. With his expertise in “Wide & Deep Learning,” Dr. Lee is likely to continue influencing both the academic community and industry, shaping the future of AI-driven healthcare innovations.

TOP NOTES PUBLICATIONS 📚

Article: Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old
  • Authors: K. Lee, Kwang-sig; B. Ham, Byung-joo
    Journal: Psychiatry Investigation
    Year: 2024
Article: A Machine Learning-Based Decision Support System for the Prognostication of Neurological Outcomes in Successfully Resuscitated Out-of-Hospital Cardiac Arrest Patients
  • Authors: S. Lee, Sijin; K. Lee, Kwang-sig; S. Park, Sang-hyun; S. Lee, Sung-woo; S. Kim, Sujin
    Journal: Journal of Clinical Medicine
    Year: 2024
Article: Clinical and Dental Predictors of Preterm Birth Using Machine Learning Methods: The MOHEPI Study
  • Authors: J. Park, Jung-soo; K. Lee, Kwang-sig; J. Heo, Ju-sun; K. Ahn, Ki-hoon
    Journal: Scientific Reports
    Year: 2024
Article: Explainable Artificial Intelligence on Safe Balance and Its Major Determinants in Stroke Patients
  • Authors: S. Lee, Sekwang; E. Lee, Eunyoung; K. Lee, Kwang-sig; S.B. Pyun, Sung Bom
    Journal: Scientific Reports
    Year: 2024

Zuleika Suliman | Artificial Intelligence | Best Researcher Award

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Ms. Zuleika Suliman | Artificial Intelligence | Best Researcher Award

University of South Africa | South Africa

BIOGRAPHY OF MS. ZULEIKA SULIMAN 📚👩‍🏫

INTRODUCTION

Ms. Zuleika Suliman is a dynamic and passionate educator, deeply committed to enhancing the learning experience through innovative teaching strategies, student-centered approaches, and cutting-edge technology. She holds an MA in English Studies from the University of South Africa (UNISA), where she also completed a wide array of specialized training programs. Ms. Suliman’s career in academia spans over a decade, marked by her significant contributions to teaching, research, and student mentorship in the fields of English studies, education, and e-learning.

EARLY ACADEMIC PURSUITS 🎓

Ms. Suliman’s academic journey began at the University of Pretoria, where she earned her Bachelor’s Degree in English Studies, specializing in Arabic, Journalism, TESOL, and Language Editing. Building on her academic foundation, she later pursued her Honours Degree in English Literature and Language at the University of South Africa (UNISA), culminating in her current studies for a Master’s Degree in English Studies, which she is set to complete in 2025. Her early years were marked by a fervent passion for education, as she excelled in mathematics, science, Arabic, and language arts during her school years at Pretoria Muslim School.

PROFESSIONAL ENDEAVORS 🏫

Ms. Suliman’s professional career includes her current role as a Junior Lecturer at UNISA, where she not only teaches various English courses but also leads several significant academic projects, including an AI research initiative with publications. She has a proven track record of success, managing large groups of students—over 5000 students for first-year courses and 600 for postgraduate modules. Her role as a mentor, editor of departmental newspapers, and active member of various academic committees showcases her dedication to the academic community.

Ms. Suliman has a vast experience with the development of curriculum materials, tutorials, assessments, and online resources for her students. Her efforts extend beyond traditional teaching to creating dynamic, virtual learning environments using tools like Microsoft Teams, Moodle, podcasts, and other digital resources.

CONTRIBUTIONS AND RESEARCH FOCUS ON  ARTIFICIAL INTELLIGENCE🔬

Her research focuses on exploring innovative e-learning strategies to improve workplace English competence, specifically within Open Distance and eLearning (ODeL) environments in South Africa. As she continues her PhD in Applied English Language Studies, her research aims to influence the way online education is delivered, providing valuable insights into student engagement, experience, and learning outcomes in digital learning platforms.

Her contributions to education include mentoring research projects, supporting student academic progress, and reviewing journal articles. She has been instrumental in shaping programs that improve student retention and success in online learning contexts.

IMPACT AND INFLUENCE 🌍

Ms. Suliman’s student-centered approach and focus on leveraging e-learning technologies have significantly impacted her students’ educational journeys. Through her development of online content, tutorials, livestream sessions, and the creation of interactive learning experiences, she has enhanced student engagement, knowledge retention, and overall academic success. She promotes collaboration, teamwork, and open communication, both with her students and peers.

Her mentorship extends to various projects, including the Can Themba Festival and a student support initiative, where she has worked tirelessly to promote student well-being, academic excellence, and career development.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Ms. Suliman has contributed to the academic community with numerous research papers and publications. Her research on the integration of AI in education and its impact on student performance has been well-received in both academic circles and professional networks. She continues to collaborate with colleagues to publish findings and present at academic conferences, focusing on the advancement of educational methodologies in the 21st century.

HONORS & AWARDS 🏆

Ms. Suliman’s achievements have not gone unnoticed. She has received several accolades throughout her career, including:

  • Scholarship Program at the University of Pretoria for the BSc undergraduate course “Up with Science” Program.
  • Mont Blanc Award for Writing – Explorer Program in Literature.
  • Sunday Times Rising Star Achievement – Youth Development.
  • Graduate of the Mentorship Program at UNISA.

Her passion and dedication to her work have earned her recognition within both the academic and professional realms.

FINAL NOTE 📝

As a trailblazer in the field of education, Ms. Zuleika Suliman continues to inspire and impact the lives of countless students. Her journey, from a young learner to an accomplished academic, reflects her unwavering commitment to education. Through her innovative teaching methods, research, and mentoring, she is shaping the future of education in South Africa and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Looking ahead, Ms. Suliman is determined to leave a lasting legacy in the field of education by further enhancing online learning strategies, improving digital literacy, and fostering a global academic community that is both inclusive and engaging. Her future contributions will continue to focus on research in applied English language studies, the integration of technology in education, and the development of future generations of learners and educators.

TOP NOTES PUBLICATIONS 📚

Advancing students’ academic excellence in distance education: Exploring the potential of generative AI integration to improve academic writing skills
    • Authors: KB Maphoto, K Sevnarayan, NE Mohale, Z Suliman, TJ Ntsopi
    • Journal: Open Praxis
    • Year: 2024
Continuing professional development (CPD): a necessary component in the workplace or not?
    • Authors: Z Suliman, W Kruger, JA Pienaar
    • Journal: The Journal of Medical Laboratory Science and Technology of South Africa
    • Year: 2020
The interconnectedness between Ubuntu principles and generative artificial intelligence in distance higher education institutions
    • Authors: Z Suliman, NE Mohale, KB Maphoto, K Sevnarayan
    • Journal: Discover Education
    • Year: 2024
Exploring the Impact of E-Learning Strategies on Enhancing Workplace English Competence at an Open Distance E-Learning (ODeL) University in South Africa
    • Authors: KB Maphoto, Z Suliman
    • Journal: Research in Social Sciences and Technology
    • Year: 2024
Artificial intelligence or augmented intelligence? Experiences of lecturers and students in an ODeL university
    • Authors: NE Mohale, Z Suliman, K Maphoto, K Sevnarayan, D Mokoena, TJ Ntsopi
    • Journal: Acitya: Journal of Teaching and Education
    • Year: 2024
The Nexus of Business English and the Fourth Industrial Revolution: Leveraging Moodle’s Potential to Augment Lecturers’ Pedagogies for Student Support
    • Authors: K Sevnarayan, Z Suliman
    • Journal: Scrutiny2
    • Year: 2024

Ali Hassan Gillani | Pharmacy Practice | Best Researcher Award

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Mr. Ali Hassan Gillani | Pharmacy Practice | Best Researcher Award

Xi’an Jiaotong university | China

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🎓 EDUCATION & PROFESSIONAL DEVELOPMENT 

  • Pharm-D (Doctor of Pharmacy)
    Duration: 2009–2014
    University: Department of Pharmacy, The Islamia University of Bahawalpur, Pakistan
    Division: 1st
    Focus: Comprehensive education in pharmacy with a solid foundation in clinical practices, pharmacology, and patient care.

  • MS in Pharmacy Administration (Pharmacy Practice)
    Duration: Sep 2015–2018
    University: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, China
    Division: 1st
    Focus: Advanced studies in pharmacy administration, healthcare management, clinical pharmacy practices, and drug policy.

  • PhD in Pharmacy Administration (Pharmacy Practice)
    Duration: Sep 2019–Present
    University: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, China
    Focus: Research on the optimization of pharmaceutical practices, drug policy, and their impact on healthcare outcomes.

🔑 SUITABILITY SUMMARY 

Mr. Ali Hassan Gillani is a dedicated and highly qualified individual in the field of Pharmacy Administration. His journey through both educational and research endeavors reflects his deep commitment to advancing healthcare practices, specifically in clinical pharmacy and pharmacy administration. His career is rooted in his passion for teaching, research, and innovation. He is actively engaged in research that evaluates the impact of drug practices on healthcare outcomes, particularly in Pakistan, with a keen interest in addressing public health challenges like diabetes and antibiotic misuse.

🔬 RESEARCH FOCUS ON Pharmacy Practice

  • PhD Thesis Title: Evaluation of antibiotic dispensing and prescribing patterns in Punjab, Pakistan, and research on the impact of drug promotion on antibiotic use.
    Key Focus: Investigating antibiotic use and its implications on public health, including the role of pharmaceutical marketing in prescribing patterns.

  • Master’s Thesis Title: An appraisal to challenges in early diagnosis, care, and management of diabetes mellitus in Punjab, Pakistan.
    Key Focus: Addressing critical gaps in diabetes care and the challenges faced in early diagnosis and treatment in a developing country setting.

🏆HONORS & AWARDS 

  • Chinese Government Scholarship (CSC): Awarded for pursuing Masters at Xi’an Jiaotong University, China.
  • Young Talent Fund: Supported research during Master’s program at Xi’an Jiaotong University, China.
  • Best Master’s Thesis Award (2018): Awarded by Xi’an Jiaotong University for outstanding research and thesis in Pharmacy Administration.

📜 PROFESSIONAL DEVELOPMENT 

  • Active member of academic seminars, workshops, and conferences focusing on pharmaceutical practices and healthcare policy.
  • Ongoing involvement in research development and publishing scholarly papers on improving pharmaceutical education, clinical practices, and drug policy.
  • Passionate about mentoring and training the next generation of healthcare professionals, with an emphasis on clinical pharmacy and ethical prescribing practices.

PUBLICATION TOP NOTES

Drug shortage: causes, impact, and mitigation strategies
    • Author(s): S Shukar, F Zahoor, K Hayat, A Saeed, AH Gillani, S Omer, S Hu, …
    • Journal: Frontiers in Pharmacology
    • Year: 2021
Knowledge, attitudes and practices regarding diabetes in the general population: A cross-sectional study from Pakistan
    • Author(s): AH Gillani, FM Amirul Islam, K Hayat, N Atif, C Yang, J Chang, Z Qu, …
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2018
Antibiotic self-medication among non-medical university students in Punjab, Pakistan: A cross-sectional survey
    • Author(s): AH Gillani, W Ji, W Hussain, A Imran, J Chang, C Yang, Y Fang
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2017
Evaluation of disaster medicine preparedness among healthcare profession students: A cross-sectional study in Pakistan
    • Author(s): A Hassan Gillani, MI Mohamed Ibrahim, J Akbar, Y Fang
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2020
Perspective of key healthcare professionals on antimicrobial resistance and stewardship programs: a multicenter cross-sectional study from Pakistan
    • Author(s): K Hayat, M Rosenthal, AH Gillani, J Chang, W Ji, C Yang, M Jiang, …
    • Journal: Frontiers in Pharmacology
    • Year: 2020
Perspective of Pakistani physicians towards hospital antimicrobial stewardship programs: a multisite exploratory qualitative study
    • Author(s): K Hayat, M Rosenthal, AH Gillani, P Zhai, MM Aziz, W Ji, J Chang, H Hu, …
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2019

Hamed Amirpour Najafabadi | Animal Breeding | Best Researcher Award

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Dr. Hamed Amirpour Najafabadi | Animal Breeding | Best Researcher Award

Lincoln University | New Zealand

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EARLY ACADEMIC PURSUITS 🎓

Dr. Hamed Amirpour Najafabadi embarked on his academic journey with a keen interest in animal genetics, which shaped his future career and contributions to the field. His early education laid a strong foundation in biology, genetics, and statistical analysis. He pursued advanced degrees in animal genetics, refining his focus on breeding data analysis. The pursuit of higher education was marked by his engagement in rigorous studies that combined theory with hands-on research, helping him understand the complex genetic structures that govern animal breeding and improvement.

PROFESSIONAL ENDEAVORS 🌍

Upon completing his studies, Dr. Amirpour Najafabadi went on to work in various roles that allowed him to apply his academic insights to real-world challenges in animal breeding. He worked closely with agricultural and genetic research teams, implementing advanced data analysis techniques for improving livestock and animal breeding programs. His professional career has also been enriched by his role at Lincoln University in New Zealand, where he has become a recognized expert in animal genetics and breeding. His professional endeavors have bridged the gap between theoretical research and practical applications, benefiting both scientific communities and industry practitioners.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Animal Breeding🔬

Dr. Amirpour Najafabadi’s contributions to the field of animal genetics are vast, with a primary research focus on data analysis, genetic improvement, and breeding programs. His work has advanced our understanding of how genetic markers can be utilized to predict traits and improve the productivity and health of livestock. His research methodology emphasizes the integration of advanced statistical models with genomic data, creating more efficient and sustainable breeding programs. His contributions have not only been foundational to the study of animal genetics but also have practical applications in enhancing the economic viability of animal-based industries.

IMPACT AND INFLUENCE 🌟

Dr. Amirpour Najafabadi’s work has had a profound impact on both academia and industry. Through his research, many animal breeding programs around the world have been optimized to produce higher yields with improved health outcomes for livestock. His focus on sustainable practices has influenced both policy-making and the direction of future research in animal genetics. As a mentor and educator at Lincoln University, he has inspired and guided the next generation of scientists, ensuring that his influence will continue for years to come. His research findings have shaped industry standards and continue to impact practices within the agricultural sector.

ACADEMIC CITATIONS 📚

Dr. Amirpour Najafabadi’s research has garnered significant attention within the scientific community, with his publications being widely cited in journals related to animal genetics, breeding, and data analysis. His academic citations reflect the broad applicability and value of his work, which spans multiple disciplines, including genomics, animal science, and agricultural engineering. His well-regarded publications have contributed to advancing the field, making him a respected figure among fellow researchers and practitioners.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Amirpour Najafabadi’s legacy in the field of animal genetics is firmly established. His work continues to influence the direction of genetic research and breeding programs, particularly in the realm of sustainability and optimization. As advancements in technology, such as CRISPR and artificial intelligence, continue to evolve, Dr. Amirpour Najafabadi is expected to play a pivotal role in shaping how these innovations can be integrated into animal genetics. His ongoing research holds great promise for further improving the efficiency of breeding systems, animal health, and the global food supply.

CONCLUDING THOUGHTS 🧬

Dr. Hamed Amirpour Najafabadi’s academic and professional journey exemplifies the intersection of research, practical application, and lasting impact. Through his groundbreaking work in animal genetics and breeding data analysis, he has made significant contributions to advancing science and improving practices within the industry. As he continues his research at Lincoln University, his future contributions will undoubtedly further influence global agricultural practices and enhance our understanding of genetics in animal breeding.

PUBLICATION TOP NOTES

Impact of Implementing Female Genomic Selection and the Use of Sex-Selected Semen Technology on Genetic Gain in a Dairy Herd in New Zealand
    • Authors: Craig Mckimmie, Mehrnush Forutan, Håvard Melbo Tajet, Alireza Ehsani, Jonathan Hickford, Hamed Amirpour
    • Journal: International Journal of Molecular Sciences
    • Year: 2025-01-24 🗓️
Retraction Note: A new DNA sequence entropy-based Kullback-Leibler algorithm for gene clustering
    • Authors: Houshang Dehghanzadeh, Mostafa Ghaderi-Zefrehei, Seyed Ziaeddin Mirhoseini, Saeid Esmaeilkhaniyan, Ishaku Lemu Haruna, Hamed Amirpour Najafabadi
    • Journal: Journal of Applied Genetics
    • Year: 2024-12 🗓️
Evaluating the Potential of Double-Muscled Angus Sires to Produce Progeny from Dairy Cows to Meet Premium Beef Brand Specifications
    • Authors: Craig Mckimmie, Hamed Amirpour, Hossein Alizadeh, Jon Hickford
    • Journal: Applied Sciences
    • Year: 2024-07 🗓️
Using Australian genomics to predict dairy cattle performance in New Zealand
    • Authors: Craig Mckimmie, Majid Khansefid, Hamed Amirpour-Najafabadi, Sue Hatcher
    • Journal: Animal Production Science
    • Year: 2023-05-01 🗓️
Microsatellite Analysis of Genetic Diversity and Population Structure of the Iranian Kurdish Horse
    • Authors: Motahareh Ala Amjadi, Hassan Mehrbani Yeganeh, Mostafa Sadeghi, Sayed Haidar Abbas Raza, Jinmeng Yang, Hamed Amirpour Najafabadi, Uzma Batool, Hamed Shoorei, Sameh A. Abdelnour, Jam Zaheer Ahmed
    • Journal: Journal of Equine Veterinary Science
    • Year: 2021-03 🗓️

Fathalla Rihan | Statistical Analysis | Best Scholar Award

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Prof. Fathalla Rihan | Statistical Analysis | Best Scholar Award

United Arab Emirates University | United Arab Emirates

Publication Profile

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Professor Fathalla A. Rihan: A Distinguished Expert in Mathematical Sciences 📚✨

Current Position(s) & Employment History 🏫

  • Professor of Mathematics (2017–present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE 🇦🇪
  • Professor of Mathematics (2011–present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt 🇪🇬
  • Associate Professor (2012–2017)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Assistant Professor (2008–2012)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Associate Professor of Mathematics (2005–2011)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
  • Honorary Research Fellow (2000–2010)
    School of Mathematics, University of Manchester, UK 🇬🇧
  • Assistant Professor (2000–2005)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
    (On leave for Post-Doctoral research in the UK)
  • Senior Research Fellow (2003–2006)
    Salford University, UK, in collaboration with Met Office (Reading University)
  • Research Fellow (2001–2003)
    School of Mathematics, Manchester University, UK
  • Postgraduate Studentship and Lecturer Assistant (1996–2000)
    Department of Mathematics, Manchester University, UK
  • Lecturer (1992–1996)
    Department of Mathematics, Helwan University, Egypt
  • Instructor (1987–1992)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt

Education 🎓

  • Doctor of Science (DSc) in Mathematics (2019)
    National University of Uzbekistan
    Dissertation: “Qualitative and Quantitative Features of Delay Differential Equations and Their Applications”
  • Ph.D. in Mathematics (2000)
    University of Manchester, UK
    Thesis: “Numerical Treatment of Delay Differential Equations in the Biosciences”
  • M.Sc. in Numerical Analysis (1992)
    Helwan University, Egypt
    Thesis: “Spectral and Pseudo-Spectral Method for Solving Partial Differential Equations Using Orthogonal Polynomials”
  • B.Sc. in Mathematics (1985)
    Alexandria University, Egypt, Graduated with Honours

Research Interests  On Statistical Analysis🔬

Prof. Fathalla A. Rihan leads two primary research groups:

  • Numerical Analysis & Mathematical Biology
    • Mathematical modeling of phenomena with time-lags (cell division, population dynamics, infectious diseases, etc.)
    • Numerical treatments for Ordinary, Partial, and Delay Differential Equations (DDEs), as well as Fractional Order Differential Equations
    • Parameter estimation and sensitivity analysis
  • Data Assimilation & Numerical Weather Prediction (NWP)
    • Advanced data assimilation techniques like 3DVar/4D-Var systems
    • Impact of Doppler radial velocities on analysis and forecasting

Research Projects 📊

  • 2024–2026: PI, AUA-UAEU Project: “Continuous Runge-Kutta Methods for Pantograph Delay Differential Equations”
  • 2022–2024: PI, ZU-UAEU Project: “Impact of Stochastic Noise on COVID-19 Dynamics in the UAE”
  • 2022: PI, SURE+ 2022 Program: “Mathematical Modeling of COVID-19 in the UAE”
  • 2021–2023: PI, UPAR-UAEU Project: “Quantitative Features of Delay Differential Equations in Biological Systems”
  • 2017–2019: PI, SQU/UAEU Project: “Delay Differential Models of Immune Response with Viral/Bacterial Infections”

Awards & Recognition 🏆

  • Resignation Award for Publications in Top 5% Journals (2023)
  • Member of Mohammed Bin Rashid Academy of Scientists (2021–present)
  • Top 2% World Scientist (Stanford University 2019–2022)
  • University Excellence Merit Allowance (2019–2020)
  • College Excellence Award for Service (2019–2020)
  • Distinguished Research Awards (2017–2019)
  • College Award for Scholarly Research (2014–2015)

Visitor ships 🌍

  • Research Visitor (2000–2001): Manchester University, UK
  • Research Visitor (2001): University of Hertfordshire, UK
  • Research Visitor (2003–2004): NCAR & Oklahoma Weather Center, USA

Publication Top Notes

Optimal control of glucose-insulin dynamics via delay differential model with fractional-order
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Alexandria Engineering Journal
    • Year: 2025-02 🗓️
Modeling Hybrid Crossover Dynamics of Immuno‐Chemotherapy and Gene Therapy: A Numerical Approach
    • Authors: Muner M. Abou Hasan, Seham M. AL‐Mekhlafi, Fathala A. Rihan, Hannah A. Al‐Ali
    • Journal: Mathematical Methods in the Applied Sciences
    • Year: 2025-02-03 🗓️
Stabilization of bilinear systems with distributed delays using the Banach state space decomposition method
    • Authors: Ayoub Cheddour, Abdelhai Elazzouzi, Fathalla A. Rihan
    • Journal: IMA Journal of Mathematical Control and Information
    • Year: 2024-12-19 🗓️
Continuous Runge–Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 🗓️
Fractional order delay differential model of a tumor-immune system with vaccine efficacy: Stability, bifurcation and control
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Chaos, Solitons & Fractals
    • Year: 2023-08 🗓️

 

Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

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Dr. Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Liwa College, ABU Dhabi | United Arab Emirates

Publication Profile

Orcid

Scopus

Research Gate

Google scholar

👩‍🏫 Summary

Dr. Neyara Radwan is an accomplished academic and researcher specializing in Industrial Engineering, Lean Manufacturing, Sustainable Systems, and Renewable Energy. Currently an Associate Professor at Liwa College in Abu Dhabi, UAE, she has an impressive academic history with roles across several prestigious institutions globally, including in Egypt, Saudi Arabia, and India. With a passion for sustainable development and advanced engineering systems, her research focuses on optimization, supply chain management, solid waste management, and energy systems.

🎓 Education

Dr. Radwan holds a Ph.D. in Production Engineering from Benha University, Egypt (2008), with a thesis on CAD of Electro-Chemical Honing Machining and Statistical Modeling. She also earned her M.A. in Production Engineering and Mechanical Design from Mansoura University, Egypt (2004), focusing on utilizing computer-aided expert systems for power transmission shaft design. Additionally, she completed her B.A. in the same field from Mansoura University, where she designed belt conveyors for a sugar factory project.

💼 Professional Experience

Dr. Radwan has an extensive career in academia. She is currently an Associate Professor at Liwa College in Abu Dhabi (2023–Present). Before this, she served as an Associate Professor at the Mechanical Department of Suez Canal University, Egypt (2012–2023), and as a Quality Assurance Officer and Assistant Professor at King Abdulaziz University, Jeddah, KSA (2014–2021). She has also held part-time roles in various academic institutions in Egypt, focusing on industrial engineering and mechanical design.

🏅 Awards & Recognition

Dr. Radwan’s dedication to education and research has earned her numerous awards, including the Excellence in Education Development Award (NCRDSIMS, India, 2018), the Global Service to Humanity Award (ADlafrica, 2021), and the Golden Academic Award (Tradepreneur Global, 2022). She has also been recognized for her outstanding academic leadership, receiving the Global Excellence in Academic Leadership Award (2024) and the Most Outstanding Engineering Educator and Writer Award (2024). Her contributions have been consistently celebrated through international accolades and recognitions.

🔧 Technical Skills

Dr. Radwan’s technical expertise spans several cutting-edge areas, including Optimization, Lean Manufacturing, and Sustainable Engineering. She is skilled in Renewable Energy Systems, Artificial Intelligence Applications in Engineering, Supply Chain Management, and Solid Waste Management. Additionally, her proficiency in CAD Modeling and Statistical Process Control allows her to explore and implement advanced solutions for sustainable systems and optimal operations.

👩‍🏫 Teaching Experience

Dr. Radwan has taught at top-tier universities across multiple countries, specializing in Industrial Management, Mechanical Engineering, and Sustainable Systems. Her teaching includes overseeing quality assurance in MBA/EMBA programs, and she is passionate about helping students connect theoretical knowledge with practical, real-world applications. She is recognized for her engaging teaching style and her ability to inspire the next generation of engineers and leaders.

🔬 Research Interests

Dr. Radwan’s research interests are wide-ranging, with a primary focus on Sustainability, Renewable Energy, and Optimization. Her work also delves into Circular Economy, Waste Management, Energy Systems, and Artificial Intelligence applications in engineering. She is particularly dedicated to researching how these fields intersect with global goals like the Sustainable Development Goals (SDGs), striving for impactful, real-world solutions to critical environmental and societal challenges.

Publication Top Notes

Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review
    • Authors: NB Al-Jehani, ZA Hawsawi, N Radwan, M Farouk
    • Journal: Journal of Engineering Science and Technology
    • Citation: 12
    • Year: 2021 🗓️
Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
    • Authors: CB Pande, A Srivastava, KN Moharir, N Radwan, L Mohd Sidek, …
    • Journal: Environmental Sciences Europe
    • Citation: 11
    • Year: 2024 🗓️
Heat transfer analysis of single-walled carbon nanotubes in Ellis’s fluid model: Comparative study of uniform and non-uniform channels
    • Authors: M Irfan, I Siddique, M Nazeer, S Saleem, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 10
    • Year: 2024 🗓️
Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption
    • Authors: M Yasir, S Saleem, M Khan, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 8
    • Year: 2024 🗓️
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
    • Authors: SP Shinde, VN Barai, BK Gavit, SA Kadam, AA Atre, CB Pande, SC Pal, …
    • Journal: Environmental Sciences Europe
    • Citation: 8
    • Year: 2024 🗓️
A comparative study based on performance and techno-economic analysis of different strategies for PV-Electrolyzer (green) hydrogen fueling incinerator system
    • Authors: OM Butt, MS Ahmad, TK Lun, HS Che, H Fayaz, N Abd Rahim, KKK Koziol, …
    • Journal: Waste Management
    • Citation: 8
    • Year: 2023 🗓️

Mourad Khayati | Data Quality | Best Researcher Award

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Dr. Mourad Khayati | Data Quality | Best Researcher Award

University of Fribourg | Switzerland

Publication Profile

Orcid

🌟 EARLY ACADEMIC PURSUITS 

Dr. Mourad Khayati began his academic journey with a solid foundation in computer science, obtaining his MSc in 2007 from the University of Jendouba (Tunisia) and INSA-Lyon (France). His passion for data analytics led him to pursue a PhD in Computer Science from the University of Zürich (Switzerland), where he earned his doctorate in 2015 under the guidance of Prof. Michael H. Böhlen. His early research explored matrix decomposition techniques, particularly in recovering missing values in time series data, an area that would become central to his career. 🎓

🏢 PROFESSIONAL ENDEAVORS AND ACADEMIC LEADERSHIP 

Currently a Senior Lecturer at the University of Fribourg in Switzerland, Dr. Khayati is involved in cutting-edge research and teaching. His expertise spans data analytics, time series repair, benchmarking, and IoT analytics. Over the years, he has not only contributed to significant advancements in these fields but also played an essential role in mentoring the next generation of computer scientists. As a co-supervisor for PhD students and a supervisor for MSc and BSc theses, his leadership in the academic community is evident. 🏫

💡 CONTRIBUTIONS AND RESEARCH FOCUS 

Dr. Khayati’s research focuses on enhancing data analytics with repair functionalities, especially in handling “dirty” data. His work in the field of time series repair, IoT analytics, and benchmarking has provided novel methodologies for improving the accuracy and reliability of data. His contributions have extended to European projects such as the FashionBrain project, where he led the technical efforts to analyze Europe’s vast fashion data universe. Through the development of tools like ImputeBench and the ORBITS framework, Dr. Khayati has pushed the boundaries of data repair, helping businesses and researchers leverage incomplete data effectively. 📊

🌍 IMPACT AND INFLUENCE 

Dr. Khayati’s work has had significant real-world applications. His research in missing data recovery has been applied in diverse fields, from fashion trend prediction to environmental hazard forecasting. His innovative tools have not only shaped academic research but have also influenced data-driven industries, highlighting the value of accurate, repaired datasets. Through collaborations and workshops, Dr. Khayati has spread knowledge on the importance of data integrity and the repair process across global academic and industrial forums. 🌐

🏆 ACADEMIC CITATIONS AND RECOGNITION 

Dr. Khayati’s research has received widespread acclaim, evidenced by his numerous high-impact publications. His work on time series data repair has been published in prestigious journals such as VLDB, IEEE, and the Journal of Knowledge and Information Systems. With a solid record of conference presentations and awards (including the Best Experiments and Analysis Paper Award at PVLDB’20), Dr. Khayati’s contributions are frequently cited by peers, solidifying his reputation as a thought leader in the field. 🏅

💼 LEGACY AND FUTURE CONTRIBUTIONS 

Looking forward, Dr. Khayati’s research continues to evolve, focusing on more efficient and scalable data repair solutions. With his ongoing supervision of PhD and MSc students and involvement in international collaborations, his legacy in the field of data science is secure. His ongoing projects promise to address new challenges, such as multimodal data repair and handling extreme-scale time series data, ensuring his continued influence on the future of data analytics. 🔮

🔑 KEY MILESTONES AND ACHIEVEMENTS 

  • ProvDS Project: Dr. Khayati led a project funded by the Swiss National Science Foundation (SNSF), exploring uncertain provenance management over incomplete linked data, a critical advancement for data provenance and reliability.
  • FashionBrain Project: As the technical lead, Dr. Khayati made significant contributions to understanding Europe’s fashion data universe, combining research and industry application.
  • Awards & Distinctions: He has received several awards for his work, including the Chair Award at ICWE’16 and the Excellence MSc Scholarship from the Tunisian Ministry of Education.
  • Influence in Academic Service: Serving as a committee member for PhD defenses, program committee member for renowned conferences, and as a reviewer for top-tier journals, Dr. Khayati actively shapes the academic landscape.

Publication Top Notes

ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
    • Authors: Mourad Khayati, Quentin Nater, Jacques Pasquier
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 🗓️
SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
    • Authors: Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 🗓️
A survey of multimodal event detection based on data fusion
    • Authors: Manuel Mondal, Philippe Cudré-Mauroux, Hông-Ân Sandlin, Philippe Cudré-Mauroux
    • Journal: The VLDB Journal
    • Year: 2024-12-15 🗓️
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
    • Authors: Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, Philippe Cudré-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2023-07 🗓️
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
    • Authors: Mourad Khayati
    • Journal: WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia
    • Year: 2021 🗓️

 

Dieter C. Broering | Robotic Surgery | Best Researcher Award

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Prof Dr. Dieter C. Broering | Robotic Surgery | Best Researcher Award

King Fasial Specialist Hospital and Research Center Riyadh | Saudi Arabia

Publication Profile

Scopus

Prof. Dr. Dieter C. Broering 🌍🦠

🏅 Summary

Prof. Dr. Dieter C. Broering is a leading expert in organ transplantation with a focus on robotic transplant surgery. He serves as the Executive Director of the Organ Transplant Center of Excellence at King Faisal Specialist Hospital & Research Center and as a Professor of Surgery at Alfaisal University in Riyadh. With a career spanning several decades, Prof. Broering has made groundbreaking advancements, particularly in robotic transplant surgery and split liver transplantation. He has performed over 1,600 robotic procedures and contributed to more than 300 peer-reviewed publications, positioning Saudi Arabia at the global forefront of these innovations. His leadership in transplantation has improved surgical techniques and patient outcomes worldwide.

🎓 Academic Background

  • MD – Heinrich Heine University Düsseldorf, Germany (1990)
  • PD – Habilitation, University of Hamburg, Germany (2005)
  • PhD in Clinical Hepatology – Semmelweis University, Budapest, Hungary (2005)

🏥 Clinical & Academic Appointments

  • 2020 – Present: Executive Director, Organ Transplant Center of Excellence, King Faisal Specialist Hospital, Riyadh
  • 2011 – Present: Professor of Surgery, Alfaisal University
  • 2024: Visiting Professor, National and Kapodistrian University of Athens, Greece
  • 2024: Visiting Professor, University of Naples, Italy
  • 2010 – 2020: Director, Organ Transplant Center, King Faisal Specialist Hospital

💼 Management Expertise

  • Leadership: Executive Director of the Organ Transplant Center, managing a team of 700+ staff
  • Research Oversight: Head of Transplantation Research, King Faisal Specialist Hospital
  • Committee Chair: M&M, Surgical Clerkship, and Transplant Research Committees
  • Strategic Planning: Involved in shaping policies and advancing robotic surgery and liver transplant initiatives

🌍 International Collaborations

  • Established living liver donation programs in Rotterdam and Budapest
  • Developed children’s liver transplant program in Riyadh
  • Pioneered minimally invasive donor nephrectomy with Erasmus University Rotterdam

💡 Funded Research Projects

  • DFG-Project on Living Donations: €60,000 funding for psychosocial study
  • Therapy Optimization in Liver Transplant: €350,000 phase 4 clinical trial
  • Liver Preservation Techniques Study: Focused on preservation with HTK solution
  • International Liver Transplant Research Funding: €9 million for transplantation research
  • Organ Transplant Registry Support: €408,000 for enhancing transplant data infrastructure

🏆 Awards & Honors

  • Presentation Award: Association of Northwest German Surgeons (2003)
  • ILTS Travel Award: 11th Congress of the International Liver Transplantation Society (2005)
  • AST Travel Award: American Society of Transplantation Congress (2005)
  • Best Research Paper: Surgical Research Day, KFSH&RC-Riyadh (2018)
  • Second Prize: Best Research Paper, Surgical Research Day, KFSH&RC-Riyadh (2019)

🌐 Professional Memberships

  • Vice President, International Society of Liver Surgeons (ISLS)
  • Council Member, International Living Donor Liver Transplant Group (iLDLT)
  • American College of Surgeons (ACS)
  • European Society for Organ Transplantation (ESOT)
  • European Liver Transplantation Association (ELITA)

🔬 Key Research Areas

  • Living Donor Liver Transplantation
  • Robotic Transplant Surgery
  • Pediatric Liver Transplantation
  • Surgical Innovation and Technique Refinement
  • Transplant Immunology and Post-Transplant Management

📊 Publications & Citation Metrics

  • Journal Impact Factor (IF): 1,178
  • Peer-Reviewed Publications: 300+
  • Citations: 9,000+
  • H-Index: 50
  • i10-index: 138

Publication Top Notes

Decoding the Clavien-Dindo Classification: Artificial Intelligence (AI) as a Novel Tool to Grade Postoperative Complications
    • Authors: Sebastian Manuel Staubli, Harriet Louise Walker, Fuat Hakan Saner, Michael D. Spiro, D. Aristotle Raptis
    • Journal: Annals of Surgery 🏥
    • Year: 2025 🗓️
Tri-modality Therapy in Esophageal Carcinoma is at a Crossroad
    • Authors: Yogesh Kumar Vashist, Srijan Shukla, Ehab H. Abufarhaneh, Dieter Clemens Bröering, Thammineedi Subramanyeshwar Rao
    • Journal: Annals of Surgical Oncology 🦠
    • Year: 2025 🗓️
Isolated microhematuria in potential kidney donors: evaluating kidney biopsy findings with dipstick urinalysis and urine microscopy results
    • Authors: Ehab A. Hammad, Dalia Abdullah Obeid, Dieter Clemens Bröering, Nancy Jacob, Tariq Zulfiquar Ali
    • Journal: Clinical Kidney Journal 💉
    • Year: 2025 🗓️
Molecular engineering of a fluorescent probe for highly efficient detection of human serum albumin in biological fluid
    • Authors: Raja Chinnappan, Tanveer Ahmad Mir, Shanmugam Easwaramoorthi, Abdullah Mohammed Assiri, Dieter Clemens Bröering
    • Journal: Sensors International 🔬
    • Year: 2025 🗓️
Outcomes of Fully Robotic Recipient Living Donor Liver Transplant in Relation to the Open Approach
    • Authors: Dieter Clemens Bröering, Yasser Mahmoud Elsheikh, M. M. Malagò, Markus Ulrich Boehnert, D. Aristotle Raptis
    • Journal: Transplantation 💉
    • Year: 2024 🗓️
Advanced strategies for intensive care management of acute liver failure
    • Authors: Fuat Hakan Saner, Ecaterina Scarlatescu, Andrew K. Gold, D. Aristotle Raptis, Dmitri S. Bezinover
    • Journal: Bailliere’s Best Practice and Research in Clinical Gastroenterology 🏥
    • Year: 2024 🗓️
Outcomes of Adult Right Graft Living Donor Liver Transplantation Utilizing the Robotic Platform-integrated Real-time Indocyanine Green Fluorescence Cholangiography Compared to the Open Approach
    • Authors: D. Aristotle Raptis, Yogesh Kumar Vashist, Rugved V. Kulkarni, M. M. Malagò, Dieter Clemens Bröering
    • Journal: Annals of Surgery 🏥
    • Year: 2024 🗓️
Revolutionizing Organ Transplantation with Robotic Surgery
    • Authors: Dieter Clemens Bröering, D. Aristotle Raptis, M. M. Malagò, Pierre Alain Clavien
    • Journal: Annals of Surgery 🏥
    • Year: 2024 🗓️
Robotic living donor hepatectomy is associated with superior outcomes for both the donor and the recipient compared with laparoscopic or open – A single-center prospective registry study of 3448 cases
    • Authors: D. Aristotle Raptis, Yasser Mahmoud Elsheikh, Yasir Alnemary, Leen Alshibi, Sami A. Kareem
    • Journal: American Journal of Transplantation 💉
    • Year: 2024 🗓️
Transjugular Intrahepatic Portosystemic Shunt for Budd–Chiari Syndrome: A Single-Centre Experience
    • Authors: Faisal Joueidi, Amnah Alhanaee, Hamad Abdulla Alsuhaibani, Dieter Clemens Bröering, Khalid Ibrahim Bzeizi
    • Journal: Journal of Clinical Medicine 💉
    • Year: 2024 🗓️

Niansheng Tang | Statistical Methods | Best Researcher Award

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Prof Dr. Niansheng Tang | Statistical Methods | Best Researcher Award

Yunan University | China

Publication Profile

Scopus

Orcid

👨‍🏫 Early Academic Pursuits

Prof. Dr. Niansheng Tang is a distinguished scholar affiliated with Yunnan University, China. His academic journey started with a series of significant achievements and certifications, culminating in his specialization in statistical and nonlinear models. His academic foundation includes attending key international training sessions and engaging with vital academic societies that contributed to his development as a respected academic in his field.

💼 Professional Endeavors and Career

Dr. Tang’s career has been characterized by a series of high-level academic positions. From 2000 to 2020, he held various teaching and research roles, including significant appointments at Yunnan University. He has been deeply involved in statistical research, with a focus on nonlinear models, reproductive dispersion, and statistical inference for incomplete data. His roles have also included administrative and leadership positions within academic organizations and societies.

🔬 Research Focus and Contributions

Dr. Tang’s primary research focuses on statistical modeling, particularly in areas like nonlinear regression, incomplete data inference, and applications in social, economic, and biomedical studies. He has been the principal investigator for multiple funded projects from the Natural Science Foundation of China, Yunnan Province, and the National Social Science Foundation of China. His work has contributed to the understanding of complex data analysis and its application in various fields.

🌍 Impact and Influence

Dr. Tang has made significant contributions to the field of statistics, with his work influencing various sectors including social sciences, economics, and biomedical research. He has been involved with several prominent academic journals and has contributed to the dissemination of knowledge in his field. His research has impacted both theoretical and applied aspects of statistical modeling, and his efforts have been acknowledged globally.

📚 Academic Cites and Recognition

Dr. Tang’s research is widely cited, with his work featured in leading international journals. He has received multiple awards for his contributions to statistical theory and its application in diverse fields. His impact in the statistical community is reflected through various accolades, including recognition as a member of several esteemed academic bodies such as the ISI and the IMS.

💻 Technical Skills and Expertise

With expertise in statistical theory and computational methods, Dr. Tang has advanced the understanding of complex data structures through his work on generalized nonlinear models. His technical proficiency extends to research in incomplete data models and the development of inference methods applicable to small sample sizes, particularly in biomedical studies.

🎓 Teaching Experience

Throughout his career, Dr. Tang has played an important role in mentoring and educating the next generation of statisticians. He has taught various courses at Yunnan University and has supervised numerous graduate students. His teaching style combines theoretical knowledge with practical application, making him a highly regarded educator.

🏛️ Legacy and Future Contributions

Dr. Tang’s legacy in the field of statistics is built on his groundbreaking research, dedication to education, and service to academic societies. Moving forward, he aims to continue influencing the development of statistical methodologies and applying them to emerging areas such as big data analysis and artificial intelligence. His future contributions will likely continue to shape both academic and practical advancements in his field.

🔍 Ongoing Research and Projects

Dr. Tang’s recent and ongoing projects focus on the statistical analysis of reproductive dispersion models, social sciences, and biomedical research. His work continues to garner support from national funding bodies and academic institutions, ensuring the continued impact of his research.

Publication Top Notes

Federated Learning based on Kernel Local Differential Privacy and Low Gradient Sampling
    • Authors: Yi Chen, Dan Chen, Niansheng Tang
    • Journal: IEEE Access 📡
    • Year: 2025 🗓️
The impact of green digital economy on carbon emission efficiency of financial industry: evidence from 284 cities in China
    • Authors: Zhichuan Zhu, Yuxin Wan, Niansheng Tang
    • Journal: Environment, Development and Sustainability 🌍💡
    • Year: 2025 🗓️
Tuning-free sparse clustering via alternating hard-thresholding
    • Authors: Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang
    • Journal: Journal of Multivariate Analysis 📊
    • Year: 2024 🗓️
Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model
    • Authors: Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu
    • Journal: Computational Statistics and Data Analysis 💻📉
    • Year: 2024 🗓️
Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints
    • Authors: Niansheng Tang, Fan Liang, Depeng Jiang
    • Journal: Computational Statistics 💻📊
    • Year: 2024 🗓️