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

Abdulaziz Almaleh | Resilience | Best Researcher Award

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Dr. Abdulaziz Almaleh l Resilience | Best Researcher Award

 King Khalid University, Saudi Arabia

Author Profile

Orcid

👨‍🏫 Summary

Dr. Abdulaziz Almaleh is an accomplished consultant with a focus on smart city technologies and urban development. With extensive experience in strategic consultancy, smart infrastructure, and business growth, he thrives on helping organizations navigate complex challenges and drive innovation. His work connects academic research with real-world applications to improve urban systems and business performance.

🎓 Education

Dr. Almaleh earned his Ph.D. in Information Science with a concentration in Telecommunication from the University of Pittsburgh in 2020. Prior to that, he completed his Master’s in Telecommunication (2015) and his Bachelor’s in Computer Networks and Communication at King Khalid University, Saudi Arabia, in 2012.

💼 Professional Experience

Currently serving as the Investment Chief Officer at King Khalid University, Dr. Almaleh leads strategic investment initiatives, managing asset allocation and risk to support long-term growth. As an Assistant Professor at the university’s Computer Science College, he specializes in smart city networks and infrastructure, contributing to the development of sustainable urban systems. From 2020 to 2023, he also worked as a Part-Time Consultant in the Business Agency, advising startups and the university on innovation and growth strategies. Additionally, during his time at the University of Pittsburgh as a Graduate Student Assistant, he contributed to pioneering research in smart infrastructure.

🔧 Technical Skills

Dr. Almaleh’s skill set includes strategic consultancy, with a proven ability to optimize business processes and drive innovation. He possesses deep expertise in smart infrastructure technologies, focusing on smart city networks and urban systems. With advanced analytical skills, he excels at leveraging business analytics to offer actionable insights, fostering collaboration, and managing interdisciplinary projects to achieve organizational goals.

📚 Teaching Experience

As an Assistant Professor at King Khalid University, Dr. Almaleh teaches courses on smart city networks and infrastructure. He prepares students for real-world challenges in urban technology and contributes to shaping the future of smart cities through his educational approach.

🔬 Research Interests On Resilience

Dr. Almaleh’s research interests include smart city network optimization, infrastructure resilience, and sustainable urban development. He is dedicated to advancing smart infrastructure technologies and exploring innovative solutions to improve urban living, with a particular focus on telecommunication systems and urban technology advancements.

📖 Top Noted Publications 

 

Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution

    • Authors: Khan, Anwar; Fouda, Mostafa M.; Do, Dinh-Thuan; Almaleh, Abdulaziz; Alqahtani, Abdullah M.; Rahman, Atiq Ur
    • Journal: IEEE Access
    • Year: 2024

A Novel Deep Learning Approach for Real-Time Critical Assessment in Smart Urban Infrastructure Systems

    • Authors: Abdulaziz Almaleh
    • Journal: Electronics
    • Year: 2024

Measuring Resilience in Smart Infrastructures: A Comprehensive Review of Metrics and Methods

    • Authors: Abdulaziz Almaleh
    • Journal: Applied Sciences
    • Year: 2023

Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends

    • Authors: Khan, Anwar; Fouda, Mostafa M.; Do, Dinh-Thuan; Almaleh, Abdulaziz; Rahman, Atiq Ur
    • Journal: IEEE Access
    • Year: 2023

Malware API Calls Detection Using Hybrid Logistic Regression and RNN Model

    • Authors: Abdulaziz Almaleh, Reem Almushabb, Rahaf Ogran
    • Journal: Applied Sciences
    • Year: 2023

Yuwei Ma | managment | Best Researcher Award

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Mrs. Yuwei Ma | managment | Best Researcher Award

Changchun University Of Finance And Economics, China

👨‍🎓Professional Profile

🧑‍🏫Summary

Dr. Yuwei Ma is an accomplished academic and researcher, specializing in management, big data analysis, and cross-cultural studies. With a Doctorate in Management from Gachon University (2022) and a Master’s degree in Foreign Language and Literature from Rikkyo University (2014), she has made significant contributions to both research and education. She is currently involved in foreign language teaching and has published numerous high-level papers while leading several provincial research projects.

🎓 Education

Dr. Ma earned her Doctorate in Management from Gachon University in South Korea (2022). Prior to that, she completed a Master’s in Foreign Language and Literature from Rikkyo University in Japan (2014), setting a strong foundation for her cross-cultural research and teaching endeavors.

💼 Professional Experience

Since 2014, Dr. Ma has been actively involved in foreign language teaching at Changchun University of Finance and Economics. In addition to her teaching role, she has contributed to several provincial research projects and published high-level papers, demonstrating her commitment to advancing academic knowledge in her field.

📚 Academic Citations

Dr. Ma has been widely published in prestigious academic journals, including ACM Transactions on Asian and Low-Resource Language Information Processing, with citations in SCI and EI databases, highlighting the impact and relevance of her research in the academic community.

🔧 Technical Skills

Her technical expertise includes big data analysis and the simulation and implementation of intelligent networking technology systems in big data environments, positioning her as a forward-thinking scholar in these domains.

👩‍🏫 Teaching Experience

Dr. Ma has been teaching foreign languages at the university level for nearly a decade, fostering academic growth among students at Changchun University of Finance and Economics.

🔍 Research Interests

Her primary research interests lie in management, big data analytics, and the comparison of Chinese and foreign cultures, which she explores through both theoretical and practical lenses.

📖Top Noted Publication

Methods of Improving Japanese-Chinese Machine Translation System through Machine Learning and Human-Computer Interaction

Authors: Yuwei Ma, Yu Qian

Journal: ACM Transactions on Asian and Low-Resource Language Information Processing

Year: 2023

zahrasadat momeni | Game theory | Best Researcher Award

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Mrs. zahrasadat momeni | Game theory | Best Researcher Award

Concordia University, Canada

👨‍🎓Professional Profile

Google Scholar Profile

📝 Summary

Mrs. Zahrasadat Momeni is a Ph.D. candidate at Concordia University, Canada, specializing in Structural Control Engineering. With advanced expertise in bridge dynamics, seismic analysis, and control systems, she designs systems that enhance bridge resilience to seismic activity. Zahrasadat’s approach combines cutting-edge software tools and AI/ML techniques to improve structural safety and performance.

🎓 Education

Zahrasadat holds a Ph.D. in Structural Control Engineering from Concordia University (2018–Present). She also completed a Post Graduate Degree in AI & Machine Learning at Purdue University (2021–2022). Prior to this, she earned her Master’s (2014–2016) and Bachelor’s (2008–2013) degrees in Civil Engineering from Sharif University of Technology and K.N.T University of Technology, respectively.

💼 Professional Experience

At Concordia University, Zahrasadat works as a Research and Analysis Specialist in Bridge Dynamics and Seismic Design. She develops advanced models to assess bridge behavior under seismic conditions and designs control systems to reduce vibrations and increase resilience. Previously, at Sharif University, she worked as a Research Assistant, where she led the seismic analysis and finite element modeling of long-span bridges.

📚 Academic Citations

Her research on bridge control systems and seismic resilience has been cited in numerous civil engineering publications. Zahrasadat continues to contribute to the academic community with ongoing work on seismic design and structural control systems.

💻 Technical Skills

Zahrasadat is proficient in structural analysis software such as SAP2000, ETABS, ABAQUS, CSiBridge, and MATLAB/Simulink. She is also skilled in Python programming and familiar with machine learning and data science tools like Jupyter Notebook and Visual Studio Code.

👩‍🏫 Teaching Experience

As a research assistant and teaching collaborator at Concordia University, Zahrasadat has provided hands-on guidance in seismic design and bridge dynamics. She has also mentored students in the use of finite element analysis and structural control systems.

🔬 Research Interests

Zahrasadat’s research interests focus on enhancing the seismic resilience of bridge structures through innovative control systems and AI/ML integration. She aims to improve bridge performance under dynamic loads and reduce the risk of collapse during seismic events.

 

📖Top Noted Publications

Intelligent control methodology for smart highway bridge structures using optimal replicator dynamic controller

Authors: Z. Momeni, A. Bagchi
Journal: Civil Engineering Journal
Year: 2023

Multi-objective control optimization of isolated bridge using replicator controller and NSGA-II

Authors: Z. Momeni, A. Bagchi
Journal: Heliyon
Year: 2023

Optimal replicator dynamic controller for semi-active control of long span cable stayed bridge with considering special variability of seismic excitations

Authors: Z. Momeni, A. Bagchi
Journal: Structures
Year: 2023

Antonio Palacios-Rodríguez | Educational Technology | Most Cited Paper Award

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Prof. Dr. Antonio Palacios-Rodríguez | Educational Technology | Most Cited Paper Award

Prof. Dr. Antonio Palacios-Rodríguez at University of Seville, Spain

👨‍🎓  Profiles

🌟 Summary

Prof. Dr. Antonio Palacios-Rodríguez is an Assistant Professor at the University of Seville, specializing in educational technology, digital competence, and teacher training. With a PhD in Education, he focuses on developing digital skills among educators, contributing significantly to the field through numerous publications and presentations.

🎓 Education

He earned his PhD in Education with an Outstanding Cum Laude from the University of Seville in 2022. Prior to that, he completed a Master’s in Management, Evaluation, and Quality of Training Institutions in 2018 and a Bachelor’s in Primary Education in 2017, receiving an Extraordinary Award.

💼 Professional Experience

Currently, he serves as an Assistant Professor in the Department of Didactics and Educational Organization at the University of Seville. He has previously held positions as a Postdoctoral Researcher at the University of Malaga and as an Interim Substitute Professor at the University of Seville.

🏆 Accolades and Recognition

Prof. Palacios-Rodríguez has been recognized with the Award for Best Scientific Article from the Faculty of Education Sciences at the University of Seville and the UNIA-DIGITAL Award for Research from the International University of Andalusia. He has authored 67 high-impact research articles and actively participates in national and international conferences.

🔍 Research Interests

His research interests include the integration of educational technology in teaching, the development of digital competence in educators, and innovative approaches to teacher training and professional development.

📖 Top Noted Publications

Diagnosis of TPACK in Elementary School Teachers: A Case Study in the Colombian Caribbean
    • Authors: Jiménez Sierra, Á., Ortega Iglesias, J., Palacios-Rodríguez, A.
    • Journal: Education Sciences
    • Volume: 14
    • Issue: 9
    • Pages: 1013
    • Year: 2024
Acceptance of Educational Artificial Intelligence by Teachers and Its Relationship with Some Variables and Pedagogical Beliefs
    • Authors: Cabero-Almenara, J., Palacios-Rodríguez, A., Loaiza-Aguirre, M.I., Rivas-Manzano, M.D.R.D.
    • Journal: Education Sciences
    • Volume: 14
    • Issue: 7
    • Pages: 740
    • Year: 2024
Digital Innovation in Language Teaching—Analysis of the Digital Competence of Teachers according to the DigCompEdu Framework
    • Authors: Rubio-Gragera, M., Cabero-Almenara, J., Palacios-Rodríguez, A.
    • Journal: Education Sciences
    • Volume: 13
    • Issue: 4
    • Pages: 336
    • Year: 2023
Medical Education and Cognitive Load: Study of the Interaction with Learning Objects in Virtual Reality and 360º Video
    • Authors: Palacios-Rodríguez, A., Cabero-Almenara, J., Serrano-Hidalgo, M.
    • Journal: Revista de Educación a Distancia
    • Volume: 24
    • Issue: 79
    • Pages: 3
    • Year: 2024
Microlearning in the University Classroom: Use of Virtual Simulator in Biology
    • Authors: Romero-Saritama, J.M., Llorente-Cejudo, C., Rodríguez, A.P., Kalinhoff, C.
    • Journal: Edutec
    • Volume: 88
    • Pages: 24–41
    • Year: 2024
Validation Using Structural Equations of the “Cursa-T” Scale to Measure Research and Digital Competencies in Undergraduate Students
    • Authors: Duarte Ayala, R.E., Palacios-Rodríguez, A., Guzmán-Cedillo, Y.I., Segura, L.R.
    • Journal: Societies
    • Volume: 14
    • Issue: 2
    • Pages: 22
    • Year: 2024
Technological and Sustainable Security: A Longitudinal Study on Teacher Training
    • Authors: Cabero-Almenara, J., Barragán-Sánchez, R., Llorente-Cejudo, C., Palacios-Rodríguez, A.
    • Journal: Computers in the Schools
    • Volume: 41
    • Issue: 3
    • Pages: 263–280
    • Year: 2024

Francesco Scala – Active Learning – International Data Evolution Achievement Award 

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Dr. Francesco Scala - Active Learning - International Data Evolution Achievement Award 

Unical University  - Italy

Author Profile 

Early Academic Pursuits

Dr Francesco Scala, born on September 14, 1991, in Cirò, Italy, embarked on his academic journey with a strong foundation in engineering. He obtained his Laurea Magistrale in Ingegneria Informatica (Master's in Computer Engineering) from the University of Calabria in April 2018, showcasing proficiency in various fields, including agent-based programming, video game development, artificial intelligence, and embedded systems.

His academic journey continued with a Ph.D. in Information and Communication Technologies at the same institution, focusing on machine learning (ML) and deep learning (DL), with a particular emphasis on active learning. Francesco's research during his Ph.D. involved developing models and algorithms to optimize office processes, demonstrating his commitment to practical applications of his academic pursuits.

Professional Endeavors

Dr Francesco's professional career is marked by a diverse range of experiences, spanning academia and industry. Notably, he served as a Borsista di Ricerca (Research Fellow) at the University of Calabria, actively contributing to a startup-focused research project aimed at modeling and optimizing office processes.

His roles as a Ph.D. student, Professor, and Assegnista di Ricerca (Research Fellow) showcased his versatility. Francesco's contributions extended to the European energy market, where he played a key role in developing predictive models for electricity markets. His work included forecasting prices, consumption, and market coupling flow based on meticulous research.

In the corporate sector, Francesco demonstrated his skills as a Mobile App Developer and Web Platform Designer, contributing to projects involving Unity, iOS development, and web application creation. His involvement with various technologies and frameworks underscores his proficiency in the software development landscape.

Contributions and Research Focus

Dr Francesco's academic contributions extend beyond his roles. His research papers, conference papers, and articles have been featured in renowned publications and conferences, showcasing his expertise in areas like probabilistic argumentation frameworks, active learning, and forecasting energy production with uncertainty quantification.

His research focus also extends to the development of machine learning tools and frameworks, including Keras, TensorFlow, PyTorch, and Scikit-learn. His deep understanding of these tools is complemented by his practical experience in implementing algorithms, as evidenced by his work on the ABOD algorithm in C and Assembly.

Accolades and Recognition

Dr Francesco's academic and professional achievements are reflected in accolades such as an H-index of 2 in Scopus and an ORCID iD (0009-0007-5224-0910). These metrics underscore the impact of his research and scholarly contributions.

Impact and Influence

Dr Francesco's influence is not limited to academia. His development of various mobile apps, web platforms, and video games has left a mark on the industry. The SmartGlasses project, iOS apps, and participation in Global Game Jams showcase his innovative approach to technology.

Legacy and Future Contributions

As of February 2024, Francesco Scala continues to make strides in academia and industry. His legacy includes a wealth of knowledge in machine learning, active learning, and software development. Looking ahead, Francesco is poised to contribute further to these fields, potentially leaving a lasting impact on the intersection of technology and human experiences.

In conclusion, Francesco Scala's journey from early academic pursuits to his current professional endeavors reflects a commitment to excellence, innovation, and the practical application of cutting-edge technologies. His impact on the fields of machine learning, active learning, and software development is evident in his extensive body of work and contributions to both academia and industry.

Notable  Publications