Feng Tian | Big Data Analytics | Best Researcher Award

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

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

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

EARLY ACADEMIC PURSUITS 🎓

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

PROFESSIONAL ENDEAVORS 💼

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

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

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

IMPACT AND INFLUENCE 🌍

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

ACADEMIC CITATIONS AND PUBLICATIONS 📚

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

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

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

HONORS & AWARDS 🏅

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

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

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

LEGACY AND FUTURE CONTRIBUTIONS 🔮

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

FINAL NOTE ✨

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

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

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

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

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

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

    • Journal: Haematologica

    • Year: 2024

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

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

    • Journal: Nature Communications

    • Year: 2024

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

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

    • Journal: Advanced Science

    • Year: 2025

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

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Radwa Rady | Biomedical Engineering | Best Researcher Award

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Dr. Radwa Rady | Biomedical Engineering | Best Researcher Award

Alexandria University | Egypt

PUBLICATION PROFILE

Scopus

Orcid

🌟 INTRODUCTION

Dr. Radwa Rady is a meticulous, bilingual professional with a broad range of skills in IT applications, biomedical engineering, and communication technologies. With her extensive expertise in both theoretical and practical aspects of biomedical technology, Dr. Rady has made significant contributions to academia, research, and industry. Fluent in Arabic and English, she is well-versed in effectively communicating complex technical concepts while also excelling at multitasking and problem-solving. Dr. Rady’s work is characterized by her dedication to innovation and academic excellence, seeking to create lasting contributions in the field of Biomedical Engineering, IT, and Electrical Communication.

🎓 EARLY ACADEMIC PURSUITS

Dr. Radwa’s journey into the world of academia and technology began at Alexandria University, where she earned her Bachelor of Engineering in Communication. This foundational education allowed her to delve deeper into subjects such as digital signal processing and biomedical devices. She continued to build on this knowledge with her Master’s degree in Biomedical Devices, focusing on digital signal processing techniques to analyze respiratory wheeze sounds in children. Her early education laid the groundwork for her extensive research and innovations in biomedical engineering, solidifying her as a dedicated scholar and researcher in the field.

💼 PROFESSIONAL ENDEAVORS

Dr. Radwa Rady’s professional career is marked by diverse roles across academia, research, and software development. From her tenure as a Software Developer at VP .Net, where she contributed to significant projects for the Water and Wastewater Authority and Cataract Hospital, to her current role as Assistant Professor at Inaya Medical Colleges in Riyadh, she has continually sought to bridge the gap between theoretical knowledge and real-world applications. As an instructor, Dr. Rady has taught a wide range of subjects, including digital signal processing, biomedical engineering, and programming. Her leadership skills extend beyond the classroom as she serves on several faculty committees and supervises graduate students’ final projects.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Rady’s research focuses on the intersection of biomedical engineering, digital signal processing, and neurofeedback treatments. One of her primary research endeavors is her thesis on “Quantitative EEG and Neurofeedback Treatment,” which aims to improve attention skills in children with ADHD through real-time EEG analysis and neurofeedback. Her work also extends to the field of respiratory wheeze sound analysis, where she developed a system to assist physicians in diagnosing respiratory conditions in children using digital signal processing. These innovative projects demonstrate Dr. Rady’s commitment to advancing medical technology and improving patient outcomes.

🌍 IMPACT AND INFLUENCE

Dr. Rady has made a significant impact through her involvement in both teaching and research. As an academic, she not only imparts knowledge to her students but also actively contributes to the academic community through workshops and lectures on emotional intelligence and ethical considerations in AI research. Her research, including the published papers and patent application related to EEG analysis for ADHD treatment, demonstrates her ability to influence both academic discourse and practical applications in healthcare technology. Dr. Rady’s work is pushing the boundaries of medical engineering and continues to inspire new generations of researchers and students.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Radwa Rady’s contributions to academic research have been widely recognized in peer-reviewed journals. She has authored and co-authored several papers, including one published in the Alexandria Engineering Journal and another in Neural Computing and Applications. She also holds a patent for her work on real-time EEG signal analysis for ADHD treatment. Dr. Rady’s publications, which are accessible through DOI references, have garnered attention within both the biomedical engineering and computer science fields, reflecting the significance of her research contributions.

🏅 HONORS & AWARDS

Dr. Rady’s exceptional academic performance has been consistently recognized. She achieved a GPA of 3.888 in her Doctorate of Science in Engineering at Alexandria University and a GPA of 3.788 in her Master’s degree. Additionally, her research papers have been published in prestigious journals such as Elsevier and Springer. Her work has also led to the submission of a patent for her innovative EEG analysis application, further cementing her status as a leading researcher in biomedical engineering.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Rady’s work holds the potential for long-term impact, particularly in the field of healthcare technology. Through her development of neurofeedback applications and digital signal processing systems, she is helping to shape the future of treatment for neurological conditions like ADHD. As a leader in both academia and research, Dr. Rady aims to continue advancing these fields by fostering collaborations and encouraging innovation among her students and colleagues. Her continued research promises to bring about transformative changes in the integration of biomedical engineering and artificial intelligence in medical practices.

📝 FINAL NOTE

Dr. Radwa Rady’s journey in academia, research, and professional development stands as a testament to her dedication to improving the lives of others through technology and education. From her work on respiratory wheeze sound analysis to her groundbreaking EEG research for ADHD, Dr. Rady is committed to making a meaningful difference in the world of biomedical engineering. Her future endeavors promise to build on her solid foundation, leaving a lasting legacy for generations to come.

📚 TOP NOTES PUBLICATIONS

Enhancing affordable EEG to act as a quantitative EEG for inattention treatment using MATLAB

    • Authors: Radwa Magdy Rady, Doaa Elsalamawy, M. R. M. Rizk, Onsy Abdel Alim, Nancy Diaa Moussa

    • Journal: Neural Computing and Applications

    • Year: 2025

A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children

    • Authors: Rady, R.M.; Moussa, N.D.; El Salmawy, D.H.; M Rizk, M.R.; Alim, O.A.

    • Journal: Alexandria Engineering Journal

    • Year: 2022

Respiratory Wheeze Sound Analysis Using Digital Signal Processing Techniques

    • Authors: Rady, R.M.; Akkary, I.M.E.; Haroun, A.N.; Fasseh, N.A.E.; Azmy, M.M.

    • Journal: Proceedings – 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015

    • Year: 2015

Mona ElBannan | Green Finance | Best Researcher Award

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Assoc Prof Dr. Mona ElBannan | Green Finance | Best Researcher Award

German University in Cairo | Egypt

Publication Profile

Google Scholar

MONA A. EL-BANNAN, PH.D. – BIOGRAPHY 🌱📚

INTRODUCTION 👩‍🏫

Mona A. El-Bannan, Ph.D., is a distinguished academician and finance expert. She currently serves as the Vice Dean for Student Affairs and Associate Professor of Finance at the German University in Cairo (GUC). Her extensive career spans over two decades, integrating rigorous academic roles with professional experiences, particularly in finance and banking.

EARLY ACADEMIC PURSUITS 📚

Mona’s academic journey began with a Bachelor’s degree in Economics and Political Science from Cairo University in 1991. She then pursued her Master’s degree in Business Administration (MBA) at the Arab Academy for Sciences and Technology in 2006, graduating with an impressive GPA of 3.86. Following this, Mona earned a Ph.D. in Business Administration with a concentration in Finance from Ain Shams University in 2011. Her dissertation, titled “A Proposed Framework for Bank Governance according to Basel Requirements and the Monetary Policy of Central Bank of Egypt”, significantly contributed to the understanding of financial governance in Egypt.

PROFESSIONAL ENDEAVORS 💼

Mona’s professional career began in the banking sector, where she worked for over 8 years in prominent Egyptian and international banks. She held key roles, including Department Head in Customer Service & Time Deposit at the Egyptian American Bank and Egyptian Gulf Bank. Later, Mona transitioned to academia, teaching at renowned universities such as The German University in Cairo (GUC), American University in Cairo (AUC), and Future University in Egypt (FUE). In addition to her academic responsibilities, Mona has contributed to the development of accounting systems and conducted various business consulting projects in the pharmaceutical sector.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Green Finance🔬

Mona’s research focuses on Green Finance, Corporate Finance, Corporate Governance, Financial Economics, and Bank Management. She explores how finance can drive sustainable development, particularly through green bonds to combat climate change. Her research on corporate governance emphasizes its impact on Egyptian firms, while her studies on financial economics and corporate finance offer valuable insights into corporate decision-making processes, especially in emerging markets.

IMPACT AND INFLUENCE 🌍

Mona’s academic influence extends beyond teaching, as she supervises doctoral dissertations, MSc theses, and MBA theses at GUC and other institutions. She is instrumental in shaping the academic growth of finance students and fostering the development of future leaders in finance. Her teaching methods, coupled with her research contributions, have earned her significant respect in academic circles.

ACADEMIC CITATIONS AND PUBLICATIONS 📖

Mona’s work has been published in various academic journals and she has received multiple citations for her contributions to Green Finance and Corporate Governance. Her research continues to shape how institutions and corporations engage with sustainable finance practices.

HONORS & AWARDS 🏆

Throughout her career, Mona has earned various awards and recognitions for her exceptional teaching, research, and academic leadership. These accolades reflect her dedication to advancing the field of finance and business administration. She has been a member of prestigious organizations such as the European Financial Management Association (EFMA) and the Multinational Finance Society (MFS), which has further extended her professional network.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking ahead, Mona aims to continue shaping the future of finance education and sustainable finance. She is committed to producing groundbreaking research that will influence policy, banking practices, and corporate strategies in the pursuit of sustainable financial systems.

FINAL NOTE ✨

Dr. Mona A. El-Bannan is not only an academician but also a leading voice in finance education and sustainable financial practices. Her commitment to green finance, corporate governance, and financial education ensures her lasting impact on the academic and professional communities.

 TOP NOTES PUBLICATIONS 📚

Effectiveness of Green Bonds in Helping the Environment
    • Authors: MA ElBannan, G Löffler
    • Journal: Journal of Banking & Finance
    • Year: 2024
Catering Behavior and Dividend Sentiment in Emerging Financial Markets
    • Author: MA ElBannan
    • Journal: International Review of Economics & Finance
    • Year: 2020
ESG Ratings, COVID-19 Severity, and Stock Behavior in Emerging Markets
    • Authors: MT Said, MA ElBannan
    • Journal: Review of Accounting and Finance
    • Year: 2024
State Divestitures and Bank Performance in MENA Region
    • Authors: N Elkhayat, MA ElBannan
    • Journal: Asian Economic and Financial Review
    • Year: 2018
Corporate Governance and Accounting Performance: A Balanced Scorecard Approach
    • Authors: MA ElBannan, MA ElBannan
    • Journal: Accounting and Finance Research
    • Year: 2014
Information Content of SFAS 157 Fair Value Reporting
    • Authors: MA ElBannan, MA ElBannan
    • Journal: Journal of International Accounting, Auditing and Taxation
    • Year: 2015

Snehal Laddha | Medical Image Analysis | Best Researcher Award

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Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION 🌟

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS 📚

Snehal’s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS 👩‍🏫

Snehal’s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE 🌍

Snehal’s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS 🏆

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE ✨

Ms. Snehal Laddha’s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS 📚

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024