Xuanyu Chen | Insight Inception | Best Researcher Award

Dr. Xuanyu Chen | Insight Inception | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis – Beijing normal University | China

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👤 Summary

Dr. Xuanyu Chen is a lecturer at the Law School of Beijing Normal University, specializing in education law and jurisprudence. His work focuses on school bullying and the legal protection of minors, with a strong emphasis on the role of schools in legal governance.

🎓 Education

He holds both a Ph.D. and a Master’s degree in Law from the Law School of Beijing Normal University, where he developed his expertise in legal research and educational policy.

💼 Professional Experience

Dr. Chen previously served as a judge’s assistant at the Higher People’s Court of Xinjiang Uygur Autonomous Region, gaining firsthand insight into judicial processes. He now contributes to legal academia through teaching and research at BNU.

📚 Academic Citations

Dr. Chen has published 1 SCI/Scopus-indexed article, 2 CSSCI journal articles, and a monograph (ISBN: 978-7-5216-3201-9). He also leads funded research projects and holds an editorial appointment.

🛠️ Technical Skills

His core skills include case-based legal analysis, education governance policy research, and legislative review related to child protection and school responsibilities.

👨‍🏫 Teaching Experience

 At Beijing Normal University, he teaches courses in law and jurisprudence, mentoring students in legal studies and educational law.

🔬 Research Interests

 His research interests focus on the rule of law in education, school governance, juvenile legal protection, and school bullying prevention from a legal perspective.

📚 Selected Publications

School Responsibility and Improvement Pathways in the Prevention and Control of Campus Bullying in China: An Analysis of 155 Civil Judgments

  • Authors: Xuanyu Chen, Yulu Jin, Feng Han
    Journal: Social Sciences
    Year: 2025

 

Lichun Zhu | Agricultural Data Analysis | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis– Shihezi university | China

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Scopus

📜 Education & Experience

Lichun Zhu is currently pursuing her PhD at Shihezi University, China, with a specialized focus on drying equipment and technologies for agricultural products. Her academic training is rooted in agricultural engineering, where she actively explores innovative techniques to improve the quality, efficiency, and sustainability of post-harvest processing. Through her research, she aims to support the primary processing of Xinjiang’s unique fruits and vegetables, contributing to both academic knowledge and regional development.

✅ Suitability Summary

With a clear focus on green and quality-preserving drying solutions, Lichun demonstrates exceptional promise as a researcher. Her ability to integrate theory with practical applications, particularly in the context of Xinjiang’s agricultural resources, underlines her suitability for advanced work in food processing and agri-tech. Her strong motivation, technical acumen, and continual pursuit of knowledge make her a valuable asset in this evolving field.

📚 Professional Development

Lichun is committed to professional growth through continuous learning of emerging drying technologies and advanced analytical tools such as metabolomics. She regularly follows recent developments in the field and applies interdisciplinary approaches to deepen her understanding of food quality, preservation, and nutritional enhancement. Her participation in research projects and proactive learning attitude reflect her strong professional drive.

🔬 Research Focus

Her research centers on developing precision drying equipment and techniques that enhance the preservation of nutritional compounds, particularly anthocyanins in plums. Using hot air-drying methods, she investigates the effects of temperature on drying behavior, antioxidant activity, and anthocyanin stability in different plum varieties from the Xinjiang region. Her studies reveal that anthocyanin degradation may be associated with antioxidant responses during drying, offering valuable insight into nutrient retention during food processing.

🏆 Honors & Awards

While formal honors and awards are yet to be listed, Lichun’s ongoing research holds strong potential for recognition in the areas of agricultural engineering, food technology, and nutritional science. Her contributions are expected to play a significant role in advancing drying technologies for high-value crops.

📚 Selected Publications

Staged Temperature- and Humidity-Controlled Combined Infrared Hot-Air Drying (TH-IRHAD) of Sea Buckthorn Reduces Drying Time, Energy Consumption, and Browning
  • Authors: Lichun Zhu, Xinyu Ji, Junzhe Gu, Xuhai Yang, Zhihua Geng
    Journal: Agriculture (Switzerland)
    Year: 2024

Jiafeng QIN | Mining Engineering | Best Researcher Award

Mr. Jiafeng QIN | Mining Engineering | Best Researcher Award

Heilongjiang University of Science and Technology | China

Publication Profile

Orcid

🔍 Summary

Mr. Jiafeng Qin is a dedicated graduate student and Communist Party member with a solid background in mechanical and mechatronics engineering. He has a strong record of academic excellence, hands-on research in intelligent mining technologies, and numerous honors reflecting his commitment to innovation, leadership, and personal growth.

🎓 Education

Mr. Qin is currently pursuing a Master’s degree in Mechanical Engineering at Heilongjiang University of Science and Technology (2022.09–2025.06). He earned his Bachelor’s degree in Mechatronics Engineering from Anhui Wenda Information Engineering College (2018.09–2022.06), consistently receiving national scholarships and academic distinctions.

🔧 Professional Experience

He contributed to a provincial science and technology research project on intelligent mining of extremely thin coal seams. His work included load-current analysis of scraper conveyors, and developing a neural network algorithm for load prediction, enabling intelligent speed regulation.

📚 Academic Contributions

Jiafeng has applied for one invention patent and one utility model patent. He has received acceptance from a foreign-language journal and a Chinese core academic journal, showcasing his impact in research publication.

💻 Technical Skills

Proficient in mechanical structure design, intelligent algorithms, wavelet transforms, wavelet packet transforms, and filter algorithms. He holds a University English Test Band 4 certificate and demonstrates strong skills in reading, writing, and analyzing technical English documents.

👨‍🏫 Teaching & Leadership Experience

As director of the Finance Department of the University Student Association Federation and president of the National Standard Eight Ball Association, Jiafeng led several student initiatives. He also served as an outstanding student representative in university governance meetings.

🔬 Research Interests

His current research focuses on mechanical structure design, intelligent control systems, and signal processing algorithms, especially in automation and industrial applications.

 📚 Top Notes Publications

Research on scraper conveyor load prediction method based on wavelet transform and BP neural network, 2025

 

Feng Tian | Big Data Analytics | Best Researcher Award

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

Zafer Aslan | Atmospheric Science | Best Researcher Award

Prof. Zafer Aslan | Atmospheric Science | Best Researcher Award

Istanbul Aydın University | Turkey

PUBLICATION PROFILE

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Prof. Zafer Aslan⚡🌍

👩‍🏫 Summary

Prof. Zafer Aslan is a distinguished academic with a strong background in atmospheric sciences. She holds a Ph.D. from Istanbul Technical University and has extensive experience in international research, having visited top institutions like the University of Washington (USA) and ICTP (Italy). Currently, she serves as the Vice Rector and a Professor at Istanbul Aydın University, where she also leads international relations and research initiatives. With over 50 publications and extensive contributions to multiple academic journals, Prof. Aslan is a highly respected figure in her field.

🎓 Education

  • B.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1975)
  • M.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1981)
  • Ph.D. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1987)

💼 Professional Experience

Prof. Aslan’s career spans across various institutions in both academic and leadership roles:

  • Vice Rector & Professor at Istanbul Aydın University, Department of Computer Engineering (2009–Present)
  • Vice Dean at Kafkas University (1994–1997)
  • Vice Rector & Dean at Beykent University (1997–2004)
  • Teaching Member & Vice Director at Istanbul Commerce University (2004–2005)
  • She has also been involved with international organizations such as ICTP, where she held roles like Senior Associate and Project Coordinator.

📚 Academic Citations & Recognition

  • Over 50 publications in refereed journals.
  • Editor for 9 international journals.
  • Awarded the Paul Tissandier Award (2013) and the Simons Associate Award (2014) for her research contributions.
  • A member of notable organizations such as ICTP-OWSD and FAI-OSTIV.

🛠️ Technical Skills

Prof. Aslan’s expertise encompasses a wide range of disciplines:

  • Atmospheric Physics & Climatology
  • Renewable Energy, particularly Wind and Solar Energy Potential
  • Applied Mathematics and Data Mining techniques for research and analysis
  • Satellite Data applications in environmental research.

👨‍🏫 Teaching Experience

Prof. Aslan has guided numerous students at the Master’s and Ph.D. levels, with ongoing supervision of graduate theses in the fields of:

  • Atmospheric Sciences
  • Renewable Energy (Wind and Solar)
  • Machine Learning applications in environmental and engineering problems.

🔬 Research Interests ON Atmospheric Science

Her primary research interests include:

  • Atmospheric Convection & Thermal Soaring (related to aviation and meteorology)
  • Data Analysis in Atmospheric Sciences (e.g., using data mining and machine learning techniques for environmental modeling)
  • Contributions to Renewable Energy studies, especially regarding wind and solar energy potential in Turkey.

📚 Top Notes Publications

Article: Earth virtualization engines (EVE)

Author(s): B Stevens, S Adami, T Ali, H Anzt, Z Aslan, S Attinger, J Bäck, J Baehr, …
Journal: Earth System Science Data
Year: 2024

Article: Effects of climate change on soil erosion risk assessed by clustering and artificial neural network

Author(s): Z Aslan, G Erdemir, E Feoli, F Giorgi, D Okcu
Journal: Pure and Applied Geophysics
Year: 2019

Article: Rank determination of mental functions by 1D wavelets and partial correlation

Author(s): Y Karaca, Z Aslan, C Cattani, D Galletta, Y Zhang
Journal: Journal of Medical Systems
Year: 2017

Article: Harmonic analysis of precipitation, pressure, and temperature over Turkey

Author(s): Z Aslan, D Okcu, S Kartal
Journal: NUOVO CIMENTO-SOCIETA ITALIANA DI FISICA SEZIONE C
Year: 1997

Article: Global wind energy assessment of Turkey and a case study in the northwest

Author(s): Z Aslan, S Mentes, MA Yukselen, S Tolun
Journal: International Energy Symposium 21st Century, Istanbul
Year: 1994

Article: Güneş enerjisi potansiyelinin çoklu lineer regresyon ve yapay sinir ağları ile modellenmesi

Author(s): D Gabralı, Z Aslan
Journal: AURUM Journal of Engineering Systems and Architecture
Year: 2020

Jinming Sha | Geospatial Intelligence | Excellence in Research

Mr. Jinming Sha | Geospatial Intelligence | Excellence in Research

Fujian Normal University | China

PUBLICATION PROFILE

Scopus

Mr. Jinming Sha⚡🌍

👨‍🏫 Summary

Dr. Jinming Sha is a renowned researcher and academic specializing in remote sensing, GIS, and environmental monitoring. With extensive experience in rural development, landscape management, and the application of remote sensing technologies in natural resource management, he has contributed significantly to the field through both his research and teaching. His multidisciplinary expertise spans several continents, working with academic institutions in China, the USA, the Netherlands, the UK, and Canada.

🎓 Education

  • Post-doctoral Research in Remote Sensing for Agriculture, University of California, Davis, USA (2014)
  • Post-doctoral Research in Rural Development and Remote Sensing, ITC, University of Twente, Netherlands (2011)
  • Post-doctoral Research in Rural Development and Remote Sensing, Royal Holloway, University of London (2010)
  • Post-doctoral Research in Agricultural Remote Sensing, Agriculture Canada (2006)
  • Post-doctoral Research in Environmental Monitoring, Chengdu University of Technology (2004)
  • Ph.D. in Remote Sensing, Zhejiang University, China (2000)

💼 Professional Experience

Dr. Sha has held prestigious post-doctoral research positions across multiple leading institutions worldwide, focusing on remote sensing applications in agriculture, rural development, environmental monitoring, and ecological assessments. His work spans continents, enriching both global and local understanding of these critical environmental issues.

📚 Academic Cites and Publications

Dr. Sha has authored numerous influential papers and a book titled Remote Sensing Theories and Applications (2017). Some notable publications include:

  • Farmland dynamics in Pingtan, China: Understanding its transition, landscape structure, and driving factors, Environmental Earth Sciences (2019)
  • Monitoring of beach litter by automatic interpretation of unmanned aerial vehicle images, Marine Pollution Bulletin (2018)
  • Geographically Weighted Regression Effects on Soil Zinc Content, Hyperspectral Modeling, Remote Sensing (2019)
  • Review of the Spatial Distribution of Heavy Metal Pollution in China, Journal of Health & Pollution (2018)

🔧 Technical Skills

Dr. Sha is proficient in advanced GIS and remote sensing techniques, with expertise in:

  • Remote sensing for agriculture, rural development, and environmental monitoring
  • GIS-based spatial analysis and environmental modeling
  • Use of advanced image classification and land cover change detection techniques
  • Application of machine learning algorithms and spatial statistics for ecological studies

🧑‍🏫 Teaching Experience

Dr. Sha teaches and mentors students at Fujian Normal University in the School of Geographical Sciences, specializing in remote sensing, GIS, and environmental management. He has guided numerous Ph.D. and master’s students in these fields, fostering the next generation of environmental scientists and researchers.

🌍 Research Interests ON Geospatial Intelligence 

Dr. Sha’s research interests include:

  • Remote Sensing and GIS: Focus on the application of spatial technologies for environmental monitoring and land use analysis
  • Rural Development and Landscape: Exploring the intersection of rural growth, landscape dynamics, and sustainable resource management
  • Environmental Evaluation and Monitoring: Assessing the health and quality of ecosystems through remote sensing techniques
  • Eco-environmental and Resource Management: Using GIS and remote sensing tools to address challenges in eco-environmental conservation and natural resource management

📚 Top Notes Publications

Article: An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators

Authors: E. Shifaw, J. Sha, X. Li, Z. Ji, Y. Yang
Journal: Journal of Hydrology: Regional Studies
Year: 2025

Article: Does land use change decline the regional ecosystem health maintenance? Case study in subtropical coastal region, Fuzhou, China

Authors: Z. Fan, X. Li, C. Yang, S. Lai, J. Sha
Journal: Journal of Environmental Management
Year: 2025

Article: The effects of land cover transition and its patch mosaics on soil erosion using geospatial technology in South Wollo, Ethiopia

Authors: E. Shifaw, M.M. Assen, A.A. Eshetu, H. Birhanu, A.Y. Kassaye
Journal: Advances in Space Research
Year: 2025

Article: Application of a Modified Ecological Quality Monitoring Method in the Southeastern Hilly Region of China

Authors: Y. Huang, X. Fu, J. Sha, E. Shifaw
Journal: Remote Sensing
Year: 2024

Article: Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada

Authors: X. Wang, X. Li, J. Sha, S. Lai, J. Wang
Journal: Ecological Indicators
Year: 2024

Article: Detecting Trends in Post-Fire Forest Recovery in Middle Volga from 2000 to 2023

Authors: E.A. Kurbanov, L.V. Tarasova, A. Yakhyayev, D.M. Dergunov, A.V. Yastrebova
Journal: Forests
Year: 2024

Mersha Minwuyelet | Biology Education | Editorial Board member

Dr. Mersha Minwuyelet l Biology Education | Editorial Board member

Begemidir College of Teachers Education, Ethiopia

Author Profile

Orcid

Early Academic Pursuits 🎓

Mersha Minwuyelet Kassa‘s academic journey began at Bahir Dar University, where he pursued his Bachelor’s in Biology Education (B.Ed.) in 1999, followed by a Master’s in Biology (M.Sc.) in 2002. His thesis, titled Prevalence and Antibiotic Susceptibility of Bacteria Isolated from Diarrheal Patients in Bahir Dar, North West Ethiopia, explored critical health issues. He later attained a Doctor of Education in Biology in 2024 from the same institution. His commitment to advancing education and scientific understanding has been the driving force behind his academic endeavors.

Professional Endeavors 🌍

Dr. Kassa has accumulated over 12 years of experience as a lecturer at the College of Teachers Education in Ethiopia. His roles as an HIV/AIDS Focal Person for various NGOs and as a research team member at Finote Selam College of Teacher Education highlight his broad professional portfolio. He has dedicated his career to fostering quality education, particularly in biology, and to ensuring the holistic development of students. His leadership roles also include serving as a director and HIV/AIDS focal person, contributing to the wellbeing of students and faculty.

Contributions and Research Focus 🔬

Dr. Kassa’s research has made significant contributions to the field of Biology education, particularly in using multimedia and dynamic classroom-integrated instruction. His innovative approach to biology teaching, along with his focus on practical applications like the “Using Formula New Approach of Multiplication Table,” reflects his desire to enhance student engagement and academic success. His latest research, published in Heliyon (2024), addresses the impact of multimedia and dynamic teaching methods on the academic achievement of Grade 11 students in Biology.

Impact and Influence 🌟

Dr. Kassa’s work has had a lasting impact on the educational landscape in Ethiopia. His research in HIV/AIDS prevention among students, alongside his publications and involvement in international research conferences, has helped raise awareness and drive educational reform. By applying innovative teaching strategies, he has empowered both educators and students, influencing their approach to learning and research. His innovative methods in classroom instruction have significantly enhanced the quality of education in the institutions where he has worked.

Academic Cites 📚

Dr. Kassa’s contributions to academic research are well-regarded. His work has been cited in international journals and conferences, with notable publications such as “Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Students’ Biology Academic Achievement” published in Heliyon (2024). His citation in prominent scientific publications and leadership roles reflect his status as a recognized scholar in the field of Biology education.

Technical Skills 🖥️

Dr. Kassa is proficient in essential computer software, including MS Word, MS Excel, and MS PowerPoint. These skills enhance his ability to plan and present complex educational materials effectively. Furthermore, his research and teaching methodologies incorporate the use of multimedia and dynamic classroom strategies, showcasing his technical expertise in leveraging technology for educational enhancement.

Teaching Experience 🍎

With over a decade of experience, Dr. Kassa has excelled as a biology educator. His teaching spans various educational levels, from junior and high schools to teacher education colleges. He has trained students in both scientific knowledge and ethical practices, particularly in health-related topics such as HIV/AIDS prevention. His comprehensive approach to teaching integrates the latest research and technology, ensuring that his students are well-prepared for both academic and professional challenges.

Legacy and Future Contributions 🔮

Dr. Kassa’s legacy lies in his ability to inspire future generations of educators and students. As he continues to contribute to biological sciences and education, his impact is felt not only in Ethiopia but also globally through his publications and research presentations. Looking forward, Dr. Kassa aims to further innovate in teaching methodologies, research, and educational leadership, continuing to shape the future of biology education and contribute to the broader scientific community.

📖 Top Noted Publications
Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Students’ Biology Academic Achievement
    • Authors: Mersha Minwuyelet Kassa, Mulugeta Kibret Azene, Solomon Melesse Mengstie, Melaku Wale Ferede
    • Journal: Heliyon
    • Year: 2024
Using Formula New Approach of Multiplication Table
    • Authors: Mersha Minwuyelet Kassa
    • Journal: International Journal of Advances in Scientific Research and Engineering
    • Year: 2018

Omar Haddad | Artificial Intelligence | Best Researcher Award

Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

💼 Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

📚 Contributions and Research Focus

Dr. Haddad’s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

🌟 Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

🛠️ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

👨‍🏫 Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

🏛️ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

🌐 Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

📖 Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024

Abdulaziz Almaleh | Resilience | Best Researcher Award

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

Jorge Valverde Carbonell | Mineral Economics | Best Researcher Award

Mr. Jorge Valverde Carbonell | Mineral Economics | Best Researcher Award

Mr. Yun Xing at The First Affiliated Hospital of Xi’an Jiaotong University, China

👨‍🎓Professional Profile

🌱 Early Academic Pursuits

Jorge Patricio Valverde Carbonell’s academic journey began with a strong foundation in economics at the University of Chile, where he earned a Bachelor’s degree in Economics (2006–2010) and a Master’s in Economic Analysis (2011–2012). His academic excellence led him to the University of Groningen, where he contributed as a research assistant in 2012, setting the stage for a future deeply rooted in empirical and policy-driven research. Valverde’s pursuit of a PhD in Economics at the prestigious University of Maastricht – UNU MERIT (2019–2025) highlights his ongoing dedication to advancing knowledge in economic analysis and policy.

💼 Professional Endeavors and Expertise

Valverde’s professional career spans key roles in international organizations, consulting for top economic institutions, and policy advising. His experience includes senior consultancy roles at institutions like the United Nations Conference on Trade and Development (UNCTAD), the Inter-American Development Bank (IDB), the OECD, and the Economic Commission for Latin America and the Caribbean (ECLAC). His expertise lies in economic development, mining competitiveness, and energy transitions, particularly in Latin America.

At UNCTAD (Sep 2024–Feb 2025), he is spearheading an analytical paper examining the role of critical minerals in enhancing Latin American economies. Additionally, his work at Espacio Público involves strategic industry analysis related to Chile’s energy transition, with a focus on lithium and green hydrogen industries. His previous roles at organizations such as the World Bank and OECD have shaped policy frameworks around global value chains, sectoral productivity, and taxation in mining industries, most notably in the Chile copper industry.

📚 Contributions and Research Focus

Valverde’s research delves into the economic complexity and global value chains of the mining sector, with a special emphasis on critical minerals such as copper, lithium, and iron. His most recent publications explore the linkages between critical minerals production and regional competitiveness. His collaboration with Menéndez and Pietrobelli (2024) has led to influential publications in high-impact journals like Journal of Resources Policy and Research Policy Journal, where they analyze mining competitiveness and opportunities for downstream diversification in resource-rich countries.

One of his notable contributions is a comprehensive framework for estimating the fiscal impact of emerging industries in the energy transition, particularly green hydrogen and lithium industries in Latin America. His economic modeling and forecasting in projects like the Energy Transition in the Mining Sector provide valuable insights into how Latin American economies can navigate global shifts in demand for clean energy minerals.

🌍 Impact and Influence

Valverde’s work has made a significant impact on policy and economic modeling within Latin America, especially in the context of resource-rich countries transitioning to green energy. His research has been pivotal in shaping national and regional policies around sustainable mining, energy transition strategies, and taxation reforms. His deep analysis of critical minerals value chains and sectoral productivity offers actionable insights for Latin American countries to boost their mining industries’ competitiveness in the global market.

He has also contributed to key international reports, such as the Economic Survey of Latin America and the Caribbean, where he addressed the challenges and opportunities in the energy transition for copper, lithium, and iron industries in the region. His research continues to inform the policymaking process in multiple international contexts, reflecting his influence as a thought leader in economic transition studies.

🧠 Academic Cites and Publications

Valverde’s work has been widely cited and recognized by both academics and policymakers. His publications span multiple topics within the field of economic complexity, global value chains, and sustainable mining. A standout example is his forthcoming chapter in the book Downstream Diversification in Mineral-Rich Countries, where he outlines the best strategies for maximizing the value-added potential of critical minerals industries.

Moreover, his research on the economic effects of energy transition policies and fiscal reforms in mining has provided valuable guidance for policymakers in Chile and across Latin America. His academic contributions continue to fuel discussions on smart specialization and green industry development at global forums.

💻 Technical Skills

Jorge Patricio Valverde is highly skilled in empirical economic analysis and policy modeling, with expertise in the following areas:

  • Economic Complexity Techniques
  • Global Value Chain (GVC) Analysis
  • Fiscal Impact Estimation and Tax Modeling
  • Energy Transition Modeling
  • Data Analysis and Econometrics (using statistical software like Stata and R)
  • Economic Forecasting (especially related to commodity markets and taxation)

These technical skills are coupled with his ability to deliver comprehensive policy reports and actionable insights for governments, international organizations, and the private sector. His advanced quantitative and qualitative research methodologies enable him to conduct rigorous analyses and make sound recommendations on complex economic issues.

🎓 Teaching Experience

Valverde has consistently contributed to academic training and teaching throughout his career. As a tutor at Maastricht University and Erasmus University Rotterdam, he has provided guidance in Econometrics and Statistics to Master’s students. He has also served as a part-time professor at the University of Chile, teaching courses in Macroeconomics and Public Policy Strategy Management. His teaching experience reflects his commitment to fostering the next generation of economists and policymakers by equipping them with the necessary skills to tackle complex global economic challenges.

🌟 Legacy and Future Contributions

Valverde’s legacy is already evident in the impact of his work on Latin American economic policy and his research contributions to the global discussions on sustainable development and economic transformation. As he continues his PhD journey at UNU MERIT, his future contributions are expected to further illuminate the pathways for economic resilience and energy transition in mining economies.

His ongoing work on critical minerals and energy transition will continue to shape policies in resource-rich countries, fostering economic diversification and green growth. By bridging the gap between economic theory and practical policy applications, Valverde is poised to leave a lasting mark on the intersection of sustainability, mining economics, and global trade in the coming