Natalia Herman-Sanchez | Bioinformatics | Young Scientist Award

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Ms. Natalia Herman-Sanchez | Bioinformatics | Young Scientist Award

University of Cordoba | Spain

PUBLICATION PROFILE

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đŸ‘©â€đŸ”Ź INTRODUCTION

Natalia HermĂĄn-SĂĄnchez is a talented pre-doctoral researcher at the University of CĂłrdoba, Spain. She is dedicated to advancing biomedical research, particularly in the study of liver diseases and cancer. Through her work, HermĂĄn-SĂĄnchez is exploring vital molecular processes, such as RNA splicing and SUMOylation, which play key roles in liver cancer development. As an FPU grant recipient, her contributions are shaping the future of scientific research in this critical area.

🎓 EARLY ACADEMIC PURSUITS

Natalia’s academic journey began with a strong foundation in biochemistry at the University of CĂłrdoba, where she earned her Bachelor’s degree in 2020. She then pursued a Master’s degree in Translational Biomedical Research, completed in 2021, and also obtained a diploma in Bioinformatics Analysis from the University Pablo de Olavide in 2024. These accomplishments laid the groundwork for her deep dive into the molecular biology of cancer and liver diseases.

đŸ§‘â€đŸ’Œ PROFESSIONAL ENDEAVORS

Since 2021, HermĂĄn-SĂĄnchez has been working as a pre-doctoral researcher at the University of CĂłrdoba under the FPU grant program. Her professional focus has been centered on understanding liver diseases and hepatocellular carcinoma (HCC). She is specifically investigating the roles of RNA splicing factors and other molecular mechanisms involved in disease progression, with the aim of discovering novel biomarkers and therapeutic targets.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Hermán-Sánchez’s research is at the forefront of liver disease and cancer research. She has contributed significantly to studies on RNA splicing, SUMOylation, and the post-transcriptional regulation of genes in liver cancer. Her work aims to uncover new diagnostic and prognostic markers, with several impactful publications in top-tier journals like Cell Reports and Experimental & Molecular Medicine. Through this research, she is shaping our understanding of liver cancer biology and offering potential pathways for clinical interventions.

🌍 IMPACT AND INFLUENCE

Hermán-Sánchez’s research is making waves in the scientific community, particularly in the study of liver cancer. Her work has been widely cited and has influenced ongoing research in cancer biology and liver diseases. By presenting her findings at major international conferences such as the European Association for the Study of the Liver (EASL), she is contributing to the global conversation on liver cancer and molecular oncology, solidifying her place as an emerging leader in the field.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Natalia’s growing list of scientific publications reflects her significant contributions to the fields of hepatology and cancer research. Her research on RNA splicing factors in hepatocellular carcinoma has gained significant attention in the scientific community. These publications underscore her potential as a rising star in biomedical research, with a focus on advancing our understanding of cancer and chronic liver diseases.

🏅 HONORS & AWARDS

Throughout her academic journey, HermĂĄn-SĂĄnchez has received recognition for her work, including invitations to present at prestigious scientific events. Her research has earned her several honors and awards, highlighting her potential as a future leader in biomedical research. Her presentations at conferences have been recognized for their scientific merit, showcasing her contributions to liver cancer research.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

As she continues her research, HermĂĄn-SĂĄnchez is poised to make lasting contributions to the field of biomedical science. Her exploration of molecular mechanisms in liver cancer holds the potential to uncover new therapeutic strategies and diagnostic tools, benefiting patients worldwide. Her continued dedication to understanding the biology of liver diseases ensures that her future work will have a profound impact on clinical practices and cancer treatment.

💬 FINAL CONCLUSION

In summary, Natalia HermĂĄn-SĂĄnchez is a promising and impactful researcher whose work is helping to redefine our understanding of liver cancer and disease. Through her academic achievements, professional experience, and groundbreaking research, she is paving the way for new diagnostic and therapeutic approaches that could ultimately improve patient outcomes. HermĂĄn-SĂĄnchez’s future contributions to biomedical research and clinical medicine are poised to leave a lasting legacy in the fight against liver diseases and cancer.

 📚 TOP NOTES PUBLICATIONS

PRPF8 increases the aggressiveness of hepatocellular carcinoma by regulating FAK/AKT pathway via fibronectin 1 splicing
    • Authors: Juan L. LĂłpez-CĂĄnovas, Natalia HermĂĄn-SĂĄnchez, Mercedes del Rio-Moreno, Antonio C. Fuentes-Fayos, Araceli Lara-LĂłpez, Marina E. SĂĄnchez-Frias, VĂ­ctor Amado, RubĂ©n Ciria, Javier Briceño, Manuel de la Mata et al.
    • Journal: Experimental & Molecular Medicine
    • Year: 2023-01-06
Spliceosomal profiling identifies EIF4A3 as a novel oncogene in hepatocellular carcinoma acting through the modulation of FGFR4 splicing
    • Authors: Juan L. LĂłpez‐CĂĄnovas, Natalia HermĂĄn‐SĂĄnchez, Maria Trinidad Moreno‐Montilla, Mercedes del Rio‐Moreno, Emilia Alors‐Perez, Marina E. SĂĄnchez‐Frias, VĂ­ctor Amado, RubĂ©n Ciria, Javier Briceño, Manuel de la Mata et al.
    • Journal: Clinical and Translational Medicine
    • Year: 2022-11
Multidisciplinary Prehabilitation and Postoperative Rehabilitation for Avoiding Complications in Patients Undergoing Resection of Colon Cancer: Rationale, Design, and Methodology of the ONCOFIT Study
    • Authors: Amaro-Gahete, FJ, Javier Jurado, Andrea Cisneros, Pablo Corres, Andres Marmol-Perez, Francisco J. Osuna-Prieto, Manuel FernĂĄndez-Escabias, Estela Salcedo, Natalia HermĂĄn-SĂĄnchez, Manuel D. Gahete et al.
    • Journal: Nutrients
    • Year: 2022-11-03
Dysregulation of splicing variants and spliceosome components in breast cancer
    • Authors: Manuel D Gahete, Natalia Herman-Sanchez, Antonio C Fuentes-Fayos, Juan L Lopez-Canovas, RaĂșl M Luque
    • Journal: Endocrine-Related Cancer
    • Year: 2022-09-01
Morphofunctional and Molecular Assessment of Nutritional Status in Head and Neck Cancer Patients Undergoing Systemic Treatment: Role of Inflammasome in Clinical Nutrition
    • Authors: Soraya LeĂłn-Idougourram, JesĂșs M. PĂ©rez-GĂłmez, ConcepciĂłn Muñoz JimĂ©nez, Fernando L-LĂłpez, Gregorio Manzano GarcĂ­a, MarĂ­a JosĂ© Molina Puertas, Natalia Herman-SĂĄnchez, Rosario Alonso-Echague, Alfonso Calañas Continente, MarĂ­a Ángeles GĂĄlvez Moreno et al.
    • Journal: Cancers
    • Year: 2022-01-19

Abeer abdelhalim | Big Data Analytics | Best Researcher Award

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Prof. Abeer abdelhalim | Big Data Analytics | Best Researcher Award

Prof. Abeer abdelhalim | Big Data Analytics – king faisal university | Saudi Arabia

Abeer M. M. Abdelhalim is a Full Professor of Accounting at King Faisal University, KSA, specializing in managerial accounting with over 30 years of academic and professional experience. He has contributed significantly to the field with numerous publications in peer-reviewed journals and has secured prestigious research grants. Prof. Abdelhalim is highly skilled in project management, scientific research, and organizing academic events. He has worked in various academic and leadership roles across multiple institutions, and his research focuses on management accounting, cost accounting, and financial disclosure. A dedicated educator, he fosters a stimulating learning environment for students and has led various training programs in accounting. His passion for continuous self-learning and development keeps him at the forefront of modern educational practices and technologies.

Profile

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Education

Prof. Abeer M. M. Abdelhalim earned his Bachelor’s in Accounting in 1995 from the Faculty of Commerce, Suez Canal University, Egypt. He then completed his Master’s in Cost & Managerial Accounting in 2000, followed by a Ph.D. in Managerial Accounting in 2006 from the same institution. His academic background laid the foundation for his distinguished career in both teaching and research. Prof. Abdelhalim’s education has empowered him to contribute significantly to the field of accounting, particularly in managerial and cost accounting, through various publications and applied research. His educational journey continues to inspire his teaching and consultancy work today.

Professional Experience

Prof. Abdelhalim has held several key positions throughout his career. Currently, he is a Full Professor of Accounting at King Faisal University, KSA, where he has also served as an Associate Professor and Assistant Professor. Prior to this, he worked at Imam University and Suez Canal University, where he taught various accounting and financial subjects. He has designed and implemented numerous accounting systems and led educational development projects. Additionally, Prof. Abdelhalim has extensive experience in training and consultancy, having conducted numerous workshops and courses in financial and managerial accounting. His leadership roles include heading committees in strategic planning, accreditation, and student affairs.

Awards and Recognition

Prof. Abeer M. M. Abdelhalim has earned several prestigious awards throughout his career. Notably, he won the First Place in Economic Studies from Prince Rashid bin Humid for Culture and Sciences in 2018. He also received the Distinguished Publication Award from the Scholarly Council at King Faisal University in 2023 for his significant contributions to research. His work in academia and research has been widely recognized, making him a leading figure in his field. His dedication to excellence in teaching and research continues to earn him accolades and recognition from both academic institutions and professional organizations.

Research Skills

Prof. Abdelhalim possesses advanced skills in scientific research, particularly in the fields of managerial and cost accounting. He has authored numerous articles in high-impact journals and has a strong track record of securing research grants. His research interests include financial reporting, digital transformation in accounting, big data analytics, and corporate sustainability. Prof. Abdelhalim is highly skilled in conducting applied research that addresses practical challenges in the accounting profession, particularly in relation to modern technologies such as blockchain and artificial intelligence. He is also experienced in leading research teams and contributing to global academic conferences.

Publications

From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence
đŸ‘€ Abeer Abdelhalim | 📖 Springer International Publishing | 🌍 2023 | DOI: 10.1007/978-3-031-17746-0 | ISBN: 9783031177453, 9783031177460 | ISSN: 2367-3370, 2367-3389 🌟🎓

The Moderating Role of Digital Environmental Management Accounting in the Relationship between Eco-Efficiency and Corporate Sustainability
đŸ‘€ Abeer Abdelhalim | 📖 Sustainability | 🌍 2023 | April 23 | đŸŒŸđŸŽ“đŸ’Œ

The Influence of Audit Committee Chair Characteristics on Financial Reporting Quality
đŸ‘€ Abeer Abdelhalim, Abdalwali Lutfi, Saleh Zaid Alkilani, Mohamed Saad, Malek Hamed Alshirah, Ahmad Farhan Alshirah, Mahmaod Alrawad, Malak Akif Al-Khasawneh, Nahla Ibrahim | 📖 Journal of Risk and Financial Management | 🌍 2022 | November 29 | DOI: 10.3390/jrfm15120563 đŸŒŸđŸŽ“đŸ’Œ

The Relationship between Risk Disclosure and Firm Performance: Empirical Evidence from Saudi Arabia
đŸ‘€ Abeer Abdelhalim | 📖 The Journal of Asian Finance, Economics and Business | 🌍 2021 | June 30 | DOI: 10.13106/JAFEB.2021.VOL8.NO6.0255 đŸŒŸđŸŽ“đŸ’Œ

Almazea Fatima | Minning and agriculture | Women Researcher Award

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Dr. Almazea Fatima | Minning and agriculture | Women Researcher Award

 University of Sydney | Australia

PUBLICATION PROFILE

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Dr. Almazea Fatima⚡🌍

🌍 INTRODUCTION

ALMAZEA FATIMA is a prominent researcher and academic in the field of agricultural economics. With a deep focus on food security, environmental sustainability, and the impacts of climate change, she has made significant contributions to global agricultural policy and research. Her academic journey and expertise have helped shape our understanding of sustainable agricultural practices and food insecurity in developing regions, especially in countries like Uganda, Pakistan, and Sierra Leone.

🎓 EARLY ACADEMIC PURSUITS

Fatima’s academic journey began in Pakistan, where she earned a B.Sc. (Hons) in Agricultural Economics from the University of Agriculture Faisalabad in 2004. She went on to complete an MSc (Hons) in Agricultural Economics in 2006, followed by a PhD in Agriculture and Environment at The University of Sydney in 2015. During her studies, she demonstrated exceptional academic prowess, receiving scholarships throughout her MSc and a range of honors, including the University Medal in 2006. Her academic work laid a strong foundation for her future endeavors in research and teaching.

đŸ’Œ PROFESSIONAL ENDEAVORS

Currently, Fatima serves as a Research Affiliate at the Centre for Carbon, Water, and Food at The University of Sydney. Her professional career spans more than a decade of teaching and research roles, including as a Lecturer in Agricultural and Resource Economics at the University of Agriculture, Faisalabad. She has also been involved in numerous research projects focused on agricultural economics, food security, and environmental sustainability. Her role in various research studies reflects her commitment to enhancing global agricultural practices and tackling food insecurity issues.

📚 CONTRIBUTIONS AND RESEARCH FOCUS

Fatima’s research interests are vast, focusing on areas such as bio-economic modeling, climate change’s effect on food security, and the social, economic, and environmental impacts of mining activities on agricultural communities. One of her major contributions includes investigating the effects of diamond and gold mining in Sierra Leone on local rice farmers. Her ongoing research also delves into the impacts of greenhouse gas emissions from the livestock sector on agricultural profitability, specifically in Queensland, Australia.

đŸŒ± IMPACT AND INFLUENCE

Fatima’s research has had far-reaching impacts in the academic community and beyond, influencing both policy and practice. Her work has informed strategies to mitigate the effects of environmental degradation on agriculture and has contributed to sustainable farming practices in developing countries. Through her studies, she has highlighted the importance of integrating environmental and social considerations into economic analyses of agricultural systems. Fatima’s dedication to improving livelihoods and promoting sustainability continues to inspire her peers and shape the future of agricultural economics.

📝 ACADEMIC CITATIONS AND PUBLICATIONS ON Minning and agriculture

Fatima’s scholarly work is widely recognized, with several publications in respected journals. Notable works include studies on the environmental and economic impacts of industrial mining on agricultural communities in Sierra Leone, dietary patterns among children in Pakistan, and the use of ARIMA models for predicting rice self-sufficiency in Sierra Leone. These publications contribute significantly to the body of knowledge in agricultural economics and development studies.

🏅 HONORS & AWARDS

Fatima has received numerous prestigious awards throughout her academic career, including the International Postgraduate Research Scholarship (IPRS) and the Australian Postgraduate Award (APA), both from the Australian Government. Additionally, she was honored with the University Medal (Silver) for her outstanding academic achievements in MSc (Hons). Her research excellence has earned her several recognitions, further cementing her position as a leader in her field.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Fatima’s future contributions are set to make a significant impact on agricultural policies and practices worldwide. With ongoing research in greenhouse gas emissions and livestock profitability, she will continue to lead the way in developing solutions for sustainable food systems. Her legacy as an academic and researcher will influence generations to come, ensuring that her work continues to inspire positive change in the field of agricultural economics.

💡 FINAL NOTE

As a researcher and educator, Fatima continues to make lasting contributions to the field of agricultural economics. Her work not only helps address immediate challenges such as food insecurity and environmental degradation but also provides long-term solutions that promote sustainable agriculture and improved livelihoods. She remains a driving force in advancing the discipline and has undoubtedly left a lasting legacy through her research.

📚 TOP NOTES PUBLICATIONS 

Economic Analysis of Fertilizer Use and its Price Variability Effects on Wheat Productivity in Punjab- A Case Study of Faisalabad
    • Authors: Rashid, S.; Chattha, M.W.A.; Fatima, A.; Hyder, M.F.; Tabasam, N.
    • Journal: Sarhad Journal of Agriculture
    • Year: 2024
Emerging Business: Cut-Rose and Gladiolus Production by Small-Scale Florists in Pakistan
    • Authors: Hashmi, M.; Komba, B.P.; Chattha, M.W.A.; Fatima, A.; Hyder, M.F.
    • Journal: Sarhad Journal of Agriculture
    • Year: 2024
Production and Supply Response of Milk in Pakistan: Price and Non-Price Determinants
    • Authors: Chattha, M.W.A.; Fatima, A.; Bakhsh, K.; Hassan, S.
    • Journal: International Journal of Agriculture and Biology
    • Year: 2013

 

 

Xiaobin Ling | Data Science | Best Researcher Award

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Dr. Xiaobin Ling | Data Science | Best Researcher Award

UMass Medical School | United States

Publication Profile

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👹‍🔬 Summary

Dr. Xiaobin Ling is a Postdoctoral Researcher at the RNA Therapeutics Institute, UMass Medical School, specializing in lncRNA structure and Cryo-EM. With a Ph.D. in Structural Biology from Fudan University, his work focuses on the mechanisms of RNA structures, molecular biology, and biophysics, with a strong emphasis on cryo-electron microscopy (Cryo-EM).

đŸ§‘â€đŸ« Current Position

Postdoctoral Researcher
RNA Therapeutics Institute, UMass Medical School (2024–Present)

  • Research on RNA structures, particularly long non-coding RNAs (lncRNAs).
  • Focus on Cryo-EM techniques to elucidate RNA structural dynamics.

🎓 Education

Ph.D. in Structural Biology (2017–2023)
Fudan University, Shanghai, China

  • Research: Mechanisms and regulation of microRNA biogenesis and lncRNA structure.
    Master’s in Chemical Biology (2013–2016)
    Xiamen University, Xiamen, China
  • Research: Drug mechanisms targeting nuclear receptors.
    B.Sc. in Biotechnology (2008–2013)
    Jinggangshan University, Ji’an, China

đŸ’Œ Professional Experience

Senior Research Assistant (2022–2023)
Cryo-EM Core Facility, Sichuan University, China

  • Managed operations for Titan Krios G3i, Talos Arctica G2, and JEOL1400 microscopes.
  • Applied Cryo-EM techniques for structural research.

Structural Biologist Researcher (2021–2022)
Runjia Pharmaceutical Technology Co., Ltd, Shanghai, China

  • Investigated ADAR inhibitors and their functions.

Research Assistant (2016–2017)
South University of Science and Technology of China, Shenzhen, China

  • Focused on microRNA biogenesis and its regulation.

📚 Academic Publications

Dr. Ling has authored numerous peer-reviewed publications in top journals, including Nature, Nature Structural & Molecular Biology, and Cell Reports. Notable works include:

  1. Cryo-EM structure of a natural RNA nanocage (Nature, 2025)
  2. Circularly permuted group II introns and their mechanisms (Nature Structural & Molecular Biology, 2025)
  3. Human telomeric G-quadruplex DNA binding (BBA – Gene Regulatory Mechanisms, 2023)
  4. ADAR inhibitors and their function (prepint, 2022)

💡 Technical Skills

  • Cryo-EM: Expertise in cryo-electron microscopy for RNA and protein structural analysis.
  • RNA Structure Analysis: Proficient in the study of RNA folding and dynamics.
  • Molecular Biology: Strong background in RNA and DNA manipulation, including G-quadruplexes and microRNA biogenesis.
  • Computational Tools: Skilled in structural bioinformatics and molecular modeling.

đŸ‘šâ€đŸ« Teaching Experience

Dr. Ling has contributed to academic training and mentoring at multiple institutions, particularly in structural biology and RNA research.

🔬 Research Interests On Data Science

  • Structural biology of RNA molecules, focusing on lncRNAs and their roles in gene regulation.
  • Application of Cryo-EM to explore the structural dynamics of RNA and protein complexes.
  • Investigating RNA-related therapeutic strategies, including the use of RNA nanocages and RNA-based drug delivery systems.

 📚 Top Notes Publications

Cryo-EM structure of a natural RNA nanocage
    • Authors: Xiaobin Ling*, Dmitrij Golovenko, Jianhua Gan, Jinbiao Ma*, Andrei A. Korostelev*, Wenwen Fang*
    • Journal: Nature
    • Year: 2025 (accepted)
Structures of a natural circularly permuted group II intron reveal mechanisms of branching and back-splicing
    • Authors: Xiaobin Ling*, Yuqi Yao*, Jinbiao Ma*
    • Journal: Nature Structural & Molecular Biology
    • Year: 2025
The mechanism of UP1 binding and unfolding of human telomeric G-quadruplex DNA
    • Authors: Xiaobin Ling#, Yuqi Yao#, Lei Ding, Jinbiao Ma*
    • Journal: Biochimica et Biophysica Acta (BBA) – Gene Regulatory Mechanisms
    • Year: 2023
DHX9 resolves G-quadruplex condensation to prevent DNA double-strand breaks
    • Authors: Juan Chen#, Xiaobin Ling#, Youshan Zhao#, Sheng Li, Manan Li, Hailian Zhao, Xianguang Yang, Chun-kang Chang, Jinbiao Ma*, Yuanchao Xue*
    • Journal: preprint
    • Year: 2022
Phytochrome B inhibits the activity of phytochrome-interacting factor 7 involving phase separation
    • Authors: Yu Xie, Wenbo Liu, Wenjing Liang, Xiaobin Ling, Jinbiao Ma, Chuanwei Yang, Lin Li*
    • Journal: Cell Reports
    • Year: 2023
Modular characterization of SARS-CoV-2 nucleocapsid protein domain functions in nucleocapsid-like assembly
    • Authors: Yan Wang#, Xiaobin Ling#, Jian Zou, Chong Zhang, Bingnan Luo, Yongbo Luo, Xinyu Jia, Guowen Jia, Minghua Zhang, Junchao Hu, Ting Liu, Yuanfeiyi Wang, Kefeng Lu, Dan Li, Jinbiao Ma*, Cong Liu*, Zhaoming Su*
    • Journal: Molecular Biomedicine
    • Year: 2023

 

Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

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Prof. Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

College of Water Conservancy and Civil Engineering, Shandong Agricultural University | China

Publication Profile

Scopus

PROF. QIANG YUE – A LEADER IN BIG DATA ANALYTICS AND WATER CONSERVANCY RESEARCH 🌐💧

INTRODUCTION 🌟

Prof. Qiang Yue is a prominent academic and researcher at the College of Water Conservancy and Civil Engineering, Shandong Agricultural University, China. Specializing in Big Data Analytics, Prof. Yue has contributed significantly to the field of water conservancy and civil engineering, focusing on the integration of data science and engineering for sustainable solutions. His interdisciplinary approach is helping shape the future of water management systems and infrastructure development.

EARLY ACADEMIC PURSUITS 🎓

Prof. Yue’s academic journey began with a strong foundation in civil engineering and water conservancy. After completing his undergraduate degree, he pursued advanced studies in related fields, obtaining a Master’s and PhD with a focus on big data analytics and its applications in civil engineering and water resources management. His rigorous academic training set the stage for his future contributions to both engineering and data science.

PROFESSIONAL ENDEAVORS đŸ’Œ

As a faculty member at Shandong Agricultural University, Prof. Yue has played a key role in developing research programs and teaching in the fields of water conservancy and civil engineering. His work bridges the gap between traditional engineering methods and modern data analytics, incorporating advanced technologies like machine learning and AI in the optimization of water resources and infrastructure planning. Prof. Yue has also collaborated with national and international research institutions, contributing to various large-scale projects focused on water management and sustainable civil engineering practices.

CONTRIBUTIONS AND RESEARCH FOCUS ON Big Data Analytics 🔬

Prof. Yue’s research interests lie at the intersection of Big Data Analytics and civil engineering, particularly in the optimization of water conservancy systems. His work focuses on the application of machine learning algorithms, predictive analytics, and real-time data collection to improve the efficiency of water resource management, flood control, and infrastructure development. Additionally, his research aims to enhance the sustainability of civil engineering projects through data-driven decision-making, making significant strides toward smart cities and sustainable environmental practices.

IMPACT AND INFLUENCE 🌍

Prof. Yue’s research has had a profound impact on both the academic community and the industry. His innovative use of Big Data Analytics in water conservancy and civil engineering has transformed how data is used in real-time decision-making, helping optimize water resource management on a large scale. His work influences policy decisions, infrastructure development projects, and sustainability strategies, improving water conservation efforts in China and beyond. Prof. Yue has also mentored a generation of engineers and researchers, sharing his knowledge and experience to cultivate future leaders in the field.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Prof. Yue has authored numerous papers in high-impact journals, with a focus on Big Data Analytics and its applications in water management and civil engineering. His publications cover topics such as predictive modeling, real-time water quality monitoring, and optimization of water distribution systems using machine learning. His research is widely cited in the academic community, reflecting the significance of his work in the integration of Big Data with engineering practices.

HONORS & AWARDS 🏆

Prof. Yue’s exceptional contributions to Big Data Analytics and water conservancy have earned him various honors and awards, including:

  • Best Paper Award, International Conference on Water Management and Engineering (2022)
  • Outstanding Researcher Award, Shandong Agricultural University (2021)
  • Excellence in Teaching Award, College of Water Conservancy and Civil Engineering (2020)
  • Innovation in Data Science Award (2019)

LEGACY AND FUTURE CONTRIBUTIONS 🔼

Prof. Yue’s work is paving the way for the next generation of engineers who will rely on data analytics to create sustainable and efficient infrastructure solutions. His future contributions promise to further the development of smart cities, improve water resource management, and enhance the overall resilience of urban environments to climate change. As he continues to innovate and mentor young engineers, his legacy will endure, shaping the future of civil engineering and environmental sustainability.

FINAL NOTE 📌

Prof. Qiang Yue’s career has been defined by his commitment to applying cutting-edge technology to real-world problems in water conservancy and civil engineering. His research is reshaping how engineers and policymakers approach water management and sustainability. His ability to blend Big Data Analytics with traditional engineering disciplines is a testament to his vision for the future of infrastructure and environmental protection.

 TOP NOTES PUBLICATIONS 📚

Dynamic health prediction of plain reservoirs based on deep learning algorithms
    • Authors: Z., Zhu; Zhaohui, H.; Wu, Hao; Z., Zhang, Zhicheng; R., Wang, Rui; Q., Yue, Qiang
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2025
Recognition and quantification of apparent damage to concrete structure based on computer vision
    • Authors: J., Liu, Jiageng; H., Sun, Hongyu; Q., Yue, Qiang; Y., Jia, Yanyan; S., Wang, Shaojie
    • Journal: Measurement: Journal of the International Measurement Confederation
    • Year: 2025

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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Scopus

Google scholar

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

Current Position(s) & Employment History đŸ«

  • Professor of Mathematics (2017–present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE 🇩đŸ‡Ș
  • Professor of Mathematics (2011–present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt đŸ‡Ș🇬
  • 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 đŸ—“ïž
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 đŸ—“ïž
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 đŸ—“ïž
Continuous Runge–Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 đŸ—“ïž
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 đŸ—“ïž

 

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

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đŸ‘©â€đŸ« 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.

đŸ’Œ 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.

đŸ‘©â€đŸ« 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 đŸ—“ïž
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 đŸ—“ïž
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 đŸ—“ïž
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 đŸ—“ïž
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 đŸ—“ïž
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 đŸ—“ïž

Mourad Khayati | Data Quality | Best Researcher Award

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Dr. Mourad Khayati | Data Quality | Best Researcher Award

University of Fribourg | Switzerland

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🌟 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 ZĂŒrich (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. đŸ«

💡 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. 🏅

đŸ’Œ 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 đŸ—“ïž
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 CudrĂ©-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 đŸ—“ïž
A survey of multimodal event detection based on data fusion
    • Authors: Manuel Mondal, Philippe CudrĂ©-Mauroux, HĂŽng-Ân Sandlin, Philippe CudrĂ©-Mauroux
    • Journal: The VLDB Journal
    • Year: 2024-12-15 đŸ—“ïž
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
    • Authors: Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, Philippe CudrĂ©-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2023-07 đŸ—“ïž
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 đŸ—“ïž

 

Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

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Assoc Prof Dr. Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

University of Klagenfurt | Austria

Author Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Assoc. Prof. Dr. Dr.-Ing. Jean Chamberlain Chedjou’s academic journey began with a strong foundation in electronics and physics. After earning his Bachelor’s degree in Physics from the University of YaoundĂ©, Cameroon, in 1990, he pursued a Bachelor’s Honors degree in Electronics, followed by a Master’s-equivalent DEA in Electronics. His passion for research led him to further his studies, culminating in a Doctorate (Doctorat de troisĂšme cyle) in Electronics at the University of YaoundĂ© in 1999. Chedjou continued to expand his academic knowledge, attaining a Dr.-Ing. Degree in Electrical Engineering and Information Technology from Leibniz University of Hanover, Germany, in 2004. These early years laid the groundwork for his later contributions in systems optimization, dynamic systems modeling, and traffic simulation.

PROFESSIONAL ENDEAVORS đŸ’Œ

Dr. Chedjou’s professional journey reflects a commitment to both teaching and research excellence. He started his academic career as a part-time Assistant Lecturer at the University of YaoundĂ©, followed by various faculty roles at the University of Dschang in Cameroon. His research experience expanded internationally through postdoctoral positions at UniversitĂ© Blaise Pascal, France, and the Abdus Salam International Centre for Theoretical Physics, Italy. These roles were instrumental in shaping his research focus on neural networks, simulation techniques, and dynamic systems modeling. Since 2009, Dr. Chedjou has served as an Associate Professor at Alpen-Adria-UniversitĂ€t Klagenfurt, Austria, where he has continued to excel in research and teaching.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Chedjou’s research is deeply centered on optimization in graph networks, particularly the development of neuro-processor solvers aimed at ultra-fast solutions for classical graph theoretical problems such as the Shortest Path Problem (SPP), Traveling Salesman Problem (TSP), and Minimum Spanning Tree (MST). He integrates his expertise in neural networks and cellular neural networks to advance simulation and optimization techniques, applying them to real-world challenges in systems simulation and nonlinear dynamics.

His work also extends to traffic modeling, electronic circuit design, and the analog computation of stiff differential equations, where his innovative approaches enhance the efficiency of simulation models. Moreover, Dr. Chedjou investigates the nonlinear dynamics of complex systems, addressing equilibrium states, chaos detection, and stability analysis, furthering understanding in fields like system theory, engineering, and telecommunications.

IMPACT AND INFLUENCE 🌍

Dr. Chedjou’s contributions have significantly impacted the academic and research communities, particularly in the areas of transportation informatics and systems modeling. His research in ultra-fast solvers and neurocomputing has paved the way for more efficient solutions to complex optimization problems. As an Associate Professor at Alpen-Adria-UniversitĂ€t Klagenfurt, his courses on methods of transportation informatics and simulation techniques have inspired countless students to explore these domains. His role as a mentor has helped shape future leaders in the field of systems technologies.

Additionally, Dr. Chedjou’s involvement in global research collaborations—such as his fellowships with the Abdus Salam International Centre for Theoretical Physics—demonstrates his commitment to international knowledge exchange and the advancement of applied sciences.

ACADEMIC CITATIONS AND RECOGNITIONS 🏅

Dr. Chedjou’s academic contributions are well-recognized globally. His innovative work in graph theory and simulation has earned him a place among respected researchers in his field. His commitment to excellence in teaching was highlighted in 2013 when he was honored with the Best Lecturer award at the University of Klagenfurt, a testament to his ability to convey complex concepts effectively and engage students in meaningful learning.

LEGACY AND FUTURE CONTRIBUTIONS đŸŒ±

Dr. Chedjou’s legacy is defined by his pioneering research and his dedication to advancing the fields of optimization, dynamic systems, and transportation informatics. His current focus on neurocomputing for real-time simulation and optimization of nonlinear differential equations promises to influence various industries, from transportation to telecommunications.

Looking ahead, Dr. Chedjou continues to push the boundaries of systems simulation and modeling. His work on neuro-processor solvers and cellular neural networks is poised to revolutionize problem-solving strategies in complex networks, contributing to faster and more scalable solutions for modern engineering challenges. As a mentor, researcher, and academic, Dr. Chedjou’s future contributions will undoubtedly continue to inspire and shape the next generation of innovators and scholars.

📑 NOTABLE PUBLICATIONS 

Article: Impact of source (drain) doping profiles and channel doping level on self-heating effect in FinFET

Authors: Atamuratov, A.E., Jabbarova, B.O., Khalilloev, M.M., Blugan, G., Saidov, K.
Journal: Micro and Nanostructures
Year: 2025

Article: A special memristive diode-bridge-based hyperchaotic hyperjerk autonomous circuit with three positive Lyapunov exponents

Authors: Rong, X., Chedjou, J.C., Yu, X., Jiang, D., Kengne, J.
Journal: Chaos, Solitons and Fractals
Year: 2024

Article: Complex dynamic behaviors in a small network of three ring coupled Rayleigh-Duffing oscillators: Theoretical study and circuit simulation

Authors: Kamga Fogue, S.M., Kana Kemgang, L., Kengne, J., Chedjou, J.C.
Journal: International Journal of Non-Linear Mechanics
Year: 2024

Article: Coupling Induced Dynamics in a Chain-Network of Four Two-Well Duffing Oscillators: Theoretical Analysis and Microcontroller-Based Experiments

Authors: Venkatesh, J., Karthikeyan, A., Chedjou, J.C., Jacques, K., Karthikeyan, R.
Journal: Journal of Vibration Engineering and Technologies
Year: 2024

Article: A unique self-driven 5D hyperjerk circuit with hyperbolic sine function: Hyperchaos with three positive exponents, complex transient behavior and coexisting attractors

Authors: Vivekanandhan, G., Chedjou, J.C., Jacques, K., Rajagopal, K.
Journal: Chaos, Solitons and Fractals
Year: 2024

Samprit Banerjee | Data Cleaning | Excellence in Research

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Assoc Prof Dr. Samprit Banerjee | Data Cleaning | Excellence in Research

Weill Medical College of Cornell University | United States

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📍 Current Academic Appointment

Dr. Samprit Banerjee is currently an Associate Professor in the Division of Biostatistics at Weill Medical College, Cornell University since January 2020. In May 2023, he also became an Associate Professor of Biostatistics in the Department of Psychiatry at the same institution.

📝 Articles in Preparation

Dr. Banerjee is preparing several significant research articles, including one on predicting adherence to psychotherapy homework using mHealth data. Another focuses on a functional data analysis framework for analyzing mobile health data, while a third article explores clustering functional data with applications to mHealth data.

đŸ©ș Extramural Professional Activities

Dr. Banerjee has contributed to multiple FDA advisory panels, including the Neurological Devices Panel in 2023 and the Patient Engagement Advisory Committee in 2021. He is also a standing member of the Effectiveness of Mental Health Interventions (EMHI) Study Section of NIMH from 2022-2025 and has been involved in scientific review groups for NIMH.

đŸ‘šâ€đŸ« Past Positions Held

Dr. Banerjee served as the Founding Director of the PhD Program in Population Health Sciences at Weill Cornell from 2020-2024. Additionally, he was the Founding Director of the MS Program in Biostatistics & Data Science from 2016 to 2020.

🎓 Educational Background

Dr. Banerjee holds a Ph.D. in Biostatistics from the University of Alabama at Birmingham (2008), following his M.Stat and B.Stat degrees from the Indian Statistical Institute in Kolkata, India.

đŸ§‘â€đŸ« Teaching & Mentorship

Dr. Banerjee is actively involved in teaching, including directing courses like Big Data in Medicine for the MS program in Biostatistics. He mentors post-doctoral associates and junior researchers, including Younghoon Kim, PhD, and Soohyun Kim, PhD, in areas of mHealth data modeling and deep learning in psychiatry.

📑 Administrative Activities On Data Cleaning

Dr. Banerjee contributes to Weill Cornell Medical College’s PhD Director’s Committee and co-chairs the Diversity, Equity, and Inclusion sub-committee of the General Faculty Council.

đŸ›Ąïž Special Government Employment

Since 2014, Dr. Banerjee has served as a Special Government Employee at the FDA’s Center for Devices and Radiological Health (CDRH).

📊 Professional Affiliations

Dr. Banerjee is an elected Council of Sections Representative for the Mental Health Statistics Section of the American Statistical Association (ASA).

📑 Notable Publications 

Examining Healthy Lifestyles as a Mediator of the Association Between Socially Determined Vulnerabilities and Incident Heart Failure
    • Authors: Nickpreet Singh, Chanel Jonas, Laura C. Pinheiro, Jennifer D. Lau, Jinhong Cui, Leann Long, Samprit Banerjee, Raegan W. Durant, Madeline R. Sterling, James M. Shikany et al.
    • Journal: Circulation: Cardiovascular Quality and Outcomes
    • Year: 2025
Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth
    • Authors: Wenna Xi, Samprit Banerjee, Bonnie T. Zima, George S. Alexopoulos, Mark Olfson, Yunyu Xiao, Jyotishman Pathak
    • Journal: JAACAP Open
    • Year: 2023
Relation of a Simple Cardiac Co-Morbidity Count and Cardiovascular Readmission After a Heart Failure Hospitalization
    • Authors: Aayush Visaria, Lauren Balkan, Laura C. Pinheiro, Joanna Bryan, Samprit Banerjee, Madeline R. Sterling, Udhay Krishnan, Evelyn M. Horn, Monika M. Safford, Parag Goyal
    • Journal: The American Journal of Cardiology
    • Year: 2020
Examining Timeliness of Total Knee Replacement Among Patients with Knee Osteoarthritis in the U.S.
    • Authors: H.M.K. Ghomrawi, A.I. Mushlin, R. Kang, S. Banerjee, J.A. Singh, L. Sharma, C. Flink, M. Nevitt, T. Neogi, D.L. Riddle
    • Journal: Journal of Bone and Joint Surgery
    • Year: 2020
Race and prostate imaging: implications for targeted biopsy and image-based prostate cancer interventions
    • Authors: Michael D Gross, Bashir Al Hussein Al Awamlh, Jonathan E Shoag, Elizabeth Mauer, Samprit Banerjee, Daniel J Margolis, Juan M Mosquera, Ann S Hamilton, Maria J Schumura, Jim C Hu
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019
Long-term active surveillance of implantable medical devices: an analysis of factors determining whether current registries are adequate to expose safety and efficacy problems
    • Authors: Samprit Banerjee, Bruce Campbell, Josh Rising, Allan Coukell, Art Sedrakyan
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019