Prithi Madhavan | Deep Learning | Best Researcher Award

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Ms. Prithi Madhavan | Deep Learning | Best Researcher Award

Marudhar Kesari Jain College for Women Autonomous Vaniyambadi | India

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Scopus

INTRODUCTION

🌟 MS. PRITHI MADHAVAN is a seasoned educator and researcher with over 12 years of experience in the field of computer applications, specializing in areas such as machine learning, deep learning, and artificial intelligence. With a strong academic background and hands-on experience in teaching, she has played a pivotal role in shaping the future of students through innovative teaching methods. Prithi’s professional journey reflects her dedication to excellence in both academia and technology. She is currently serving as the Head of the Department and Assistant Professor at Marudhar Kesari Jain College for Women, Vaniyambadi, Tamil Nadu.

EARLY ACADEMIC PURSUITS

🎓 MS. PRITHI MADHAVAN embarked on her academic journey with a Bachelor of Computer Applications (BCA) in 2010, followed by a Master of Computer Applications (MCA) in 2013. She later completed her Master of Philosophy (M.Phil) in 2014 and is currently pursuing her Ph.D. in Deep Learning, having submitted her thesis and awaiting the viva. Her academic excellence and passion for learning laid the foundation for her thriving career in higher education and research.

PROFESSIONAL ENDEAVORS

💼 WORK EXPERIENCE: With more than 12 years of experience, Prithi has contributed significantly to both teaching and administrative roles. She has been serving as the Head of the Department of Computer Applications and as an Assistant Professor at Marudhar Kesari Jain College for Women since June 2013. Additionally, Prithi has held leadership roles, including serving as the College and Career Coordinator, Board of Studies Member, and acting as a coordinator for various academic and extracurricular programs. She played a vital role in organizing the Smart India Hackathon 2022, where the college team made it to the finals in Sikkim.

CONTRIBUTIONS AND RESEARCH FOCUS

🔬 RESEARCH AND INNOVATION: Prithi is deeply involved in research, particularly in machine learning, deep learning, and artificial intelligence. She has contributed to various fields, including retail sector analytics, human resource management systems, and robotics. Her research papers have been published in reputed journals such as Springer, Scopus, and the International Journal of Intelligent Systems and Applications in Engineering. Her works focus on the application of AI in solving real-world problems, including customer information systems, speech emotion recognition, and churn detection in retail industries.

IMPACT AND INFLUENCE

🌍 ACADEMIC IMPACT: Prithi’s impact as an educator is evident through her commitment to providing quality education and shaping future leaders in the field of computer science. She has mentored over 20 postgraduate (PG) and 15 undergraduate (UG) students’ research projects. Additionally, her involvement in various national and international workshops, seminars, and conferences has allowed her to influence the broader academic community. She is recognized for her exceptional teaching skills, having achieved a perfect score of 100 for six students in her machine learning and AI courses.

ACADEMIC CITATIONS AND PUBLICATIONS

📚 SCHOLARLY WORK: Prithi has a significant presence in the academic world with a number of published papers and books. Her work has been cited in various scholarly journals, and she has an impressive academic record. She has also contributed to books on topics like machine learning, deep learning, and cyber security. Notably, her research on facial recognition and marketing analytics has garnered international attention. Her Google Scholar, ORCID, and Scopus profiles further showcase her contributions to academia.

HONORS & AWARDS

🏆 ACHIEVEMENTS AND RECOGNITIONS: Prithi has received several accolades throughout her career. Some notable honors include the Best Faculty Award from Educational Excellence Award in 2021, the Excellence Competencies in Education World Award, and the Greater Educator Award from TIP for Education. She was also recognized with the “Kural Semmal Virthu” from the Pasumal Foundation and has been honored by various academic institutions for her contributions to education and research.

LEGACY AND FUTURE CONTRIBUTIONS

🌱 LEADERSHIP AND VISION: Prithi’s future goals involve continuing her research in machine learning and deep learning while mentoring the next generation of computer science professionals. As an innovation ambassador and academic leader, she is dedicated to shaping educational policies and curriculum development that foster growth and creativity. Her leadership within the Institution’s Innovation Council (IIC) has helped the college achieve prestigious awards and recognition for its innovation efforts.

FINAL NOTE

💡 LOOKING FORWARD: As Prithi continues to shape the future of academia, her efforts are poised to leave a lasting impact on both the educational and technological landscapes. Her commitment to excellence in research, teaching, and innovation will undoubtedly inspire future generations of students and professionals in the field of computer science. Her journey is a testament to her passion for education, innovation, and making a difference in the world of academia and beyond.

 TOP NOTES PUBLICATIONS 

Utilizing Machine Learning for Speech Emotion Recognition

    • Authors: Prithi, M.; Sankari, M.; Shinde, J.P.; Kumar, R.; Deepak, A.; Pokhariya, H.S.; Shrivastava, A.

    • Journal: International Journal of Intelligent Systems and Applications in Engineering

    • Year: 2024

Churn Detection Using Machine Learning in the Retail Industry

    • Authors: Prithi Madhavan; K. Tamizharasi

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Revolutionizing Retail: Machine Learning Applications for Enhanced Customer Experience and Operational Efficiency

    • Authors: Prithi M; Tamizharasi K

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Using Artificial Intelligence and Deep Learning Methods to Analyze the Marketing Analytics and Its Impact on Human Resource Management Systems

    • Authors: Gambhir, V.; Asnate-Salazar, E.; Prithi, M.; Alvarado-Tolentino, J.; Tongkachok, K.

    • Journal: Communications in Computer and Information Science

    • Year: 2022

 

Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

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Dr. Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

University of Technology | Iraq

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Scopus

👨‍🎓 INTRODUCTION

Dr. Mays Sameer Tareq is an accomplished academic and researcher in the field of Laser and Optoelectronics Engineering. Born on October 18, 1987, in Baghdad, Iraq, Dr. Tareq has dedicated his career to advancing laser technologies and their applications in biomedical engineering. With a strong academic foundation and a focus on cutting-edge research, his contributions have greatly influenced his field, particularly in laser-induced breakdown spectroscopy (LIBS) and its applications in dental science.

🎓 EARLY ACADEMIC PURSUITS

Dr. Tareq’s academic journey began with a Bachelor’s degree in Laser and Optoelectronics Engineering from the University of Technology in 2009. His thirst for knowledge led him to pursue a Master’s degree in the same field, completed in 2015, where he explored the fabrication of photodetectors using pulsed laser deposition. He continued his academic excellence with a PhD from Al-Nahrain University in 2025, where his dissertation focused on a novel approach for analyzing nanomaterials in human teeth using LIBS technology.

💼 PROFESSIONAL ENDEAVORS

Since 2016, Dr. Tareq has been teaching in the Department of Biomedical Engineering, where he imparts knowledge on laser technology, biomaterials, and bioacoustics. His role as an educator has included developing specialized lectures, practical experiments, and supervising student projects. Dr. Tareq has also participated in numerous conferences, showcasing his expertise in laser applications and advancing educational methodologies within his field.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS


Dr. Tareq’s research is primarily focused on laser technologies and their biomedical applications. His work has significantly contributed to the development of photodetectors and the analysis of dental materials using LIBS. Through innovative studies, he has explored the influence of lasers on dental enamel, the migration of heavy metals from dental fillings, and the use of nanoparticles in enhancing laser-induced breakdown spectroscopy for more accurate material analysis.

🌍 IMPACT AND INFLUENCE

Dr. Tareq’s research has had a profound impact on dental science and materials engineering. His work on laser interactions with dental materials has led to advancements in both laser technology and biomedical diagnostics. By developing novel techniques to analyze the properties of dental samples, Dr. Tareq’s research is helping to improve the safety and effectiveness of dental treatments. His work has also influenced other industries, contributing to the broader scientific community.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Tareq’s research has been widely recognized and published in renowned journals, including Journal of Optics, Lasers in Medical Science, and Journal of Materials Science: Materials in Electronics. Some of his key publications include:

  • “Preparation and characteristics study of CuAlO2/Si heterojunction photodetector by pulsed laser deposition” (2017).

  • “In vitro studies the influence of Nd:YAG laser on dental enamels” (2024).

  • “Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis of Human Teeth” (2024).

He has also filed patents for his innovative work on photodetectors and laser treatments in dentistry.

🏅 HONORS & AWARDS

Dr. Tareq’s work has garnered numerous accolades over the years, recognizing his groundbreaking contributions to both academia and practical applications in the fields of laser technology and biomedical engineering. His innovative studies have been celebrated in academic and industry circles, earning him a respected place among experts in his field.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Tareq’s research will continue to shape the landscape of laser science and biomedical engineering. His commitment to advancing laser applications in healthcare ensures his ongoing influence in the academic and medical communities. As his work progresses, Dr. Tareq will undoubtedly leave a lasting legacy in the fields of biomedical optics, materials science, and nanotechnology.

🔚 FINAL NOTE

Dr. Mays Sameer Tareq’s career exemplifies a deep commitment to advancing science and technology. His research, teaching, and innovative contributions to laser applications in healthcare have had a significant impact on both the scientific community and society. His future endeavors promise to continue driving advancements in laser science and medical engineering, solidifying his place as a leader in his field.

 TOP NOTES PUBLICATIONS 📚

  • Heavy metal migration from dental filling materials to calcified oral tissues: an in vitro analysis using LIBS and ICP-MS techniques

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Odontology

    • Year: 2025

  • Quantitative Analysis Of Gallstones By Utilize LIBS Technique With ICP-MS And Standard Methods: An In Vitro Study

    • Authors: Lara A. Kadhim; Mays S. Tareq

    • Journal: Journal of Optics

    • Year: 2025

  • Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis Of Human Teeth By Using ZnO And Al2O3 Nanoparticles

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

  • Quantitative analysis of human teeth by using LIBS technology with different calibration methods: in vitro study

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

Wenbin Zhang | Educational Data Analysis | Best Researcher Award

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Prof. Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | China

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Summary 📝

Dr. Wenbin Zhang is a Professor and Chief Physician at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. With extensive experience in cardiology, he specializes in interventional diagnosis and treatment of complex coronary heart disease, refractory hypertension, and heart failure. His research focuses on hypertension-related myocardial remodeling and the inflammatory mechanisms of atherosclerosis, contributing significantly to the understanding of cardiovascular diseases.

Education 🎓

Dr. Zhang completed his medical education and training at Zhejiang University School of Medicine, where he later became a professor and doctoral supervisor. He continues to shape future medical professionals through his commitment to education and research.

Professional Experience 💼

Dr. Zhang serves as a chief physician and teacher in the cardiology department, focusing on critical illnesses. He is an expert in the management of cardiovascular conditions, including coronary heart disease and heart failure. His professional journey also includes leadership roles in medical education and reforms in clinical practice.

Academic Citations 📚

With nearly 70 journal publications in high-impact medical journals such as SCI and Scopus, Dr. Zhang’s research has made notable contributions to the field of cardiology. His work on myocardial remodeling and atherosclerosis has been widely recognized within the scientific community.

Technical Skills 🛠️

Dr. Zhang is highly skilled in interventional cardiology, including coronary angioplasty and the treatment of refractory hypertension. His expertise also extends to molecular biology techniques, providing critical insights into cardiovascular disease mechanisms.

Teaching Experience 👨‍🏫

As a medical professor, Dr. Zhang is deeply involved in curriculum development and the reform of medical education. He actively integrates innovative teaching methods to improve students’ clinical skills and academic performance, ensuring they are well-prepared for the challenges of modern medicine.

Research Interests 🔬

Dr. Zhang’s primary research interests include the molecular mechanisms of hypertension-related myocardial remodeling and the inflammatory pathways that drive atherosclerosis. His work is paving the way for future therapeutic strategies in cardiovascular disease management.

Top Notes Publications 📚

Variability in Plasma Lipids Between Intensive Statin Therapy and Conventional-Dose Statins Combined with Ezetimibe Therapy in Patients with Coronary Atherosclerosis Disease

    • Authors: Jinhua Jin, Liwen Shan, Manjun Wang, Lu Liu, Tian Xu, Duanbin Li, Zhezhe Chen, Xianglan Liu, Wenbin Zhang, Ya Li

    • Journal: International Heart Journal

    • Year: 2023

Liver enzymes mediate the association between aldehydes co-exposure and hypertriglyceridemia

    • Authors: Duanbin Li, Zhezhe Chen, Yu Shan, Tianli Hu, Xulin Hong, Jun Zhu, Yunhui Zhu, Guosheng Fu, Min Wang, Wenbin Zhang

    • Journal: Ecotoxicology and Environmental Safety

    • Year: 2023

Polydopamine (PDA) coatings with endothelial vascular growth factor (VEGF) immobilization inhibiting neointimal formation post zinc (zn) wire implantation in rat aortas

    • Authors: Jiayin Fu, Qiongjun Zhu, Zhezhe Chen, Jing Zhao, Shaofei Wu, Meng Zhao, Shihui Xu, Dongwu Lai, Guosheng Fu, Wenbin Zhang

    • Journal: Biomaterials Research

    • Year: 2023

Erythrocyte parameters, anemia conditions, and sex differences are associated with the incidence of contrast-associated acute kidney injury after coronary angiography

    • Authors: Xihong Li, Qingqing Chen, Xinrui Yang, Duanbin Li, Changqing Du, Jun Zhang, Wenbin Zhang

    • Journal: Frontiers in Cardiovascular Medicine

    • Year: 2023

Biomimetic and NOS‐Responsive Nanomotor Deeply Delivery a Combination of MSC‐EV and Mitochondrial ROS Scavenger and Promote Heart Repair and Regeneration

    • Authors: Ning Zhang, Mengkang Fan, Yongchao Zhao, Xiaolong Hu, Qiongjun Zhu, Xiaolu Jiao, Qingbo Lv, Duanbin Li, Zheyong Huang, Guosheng Fu, et al.

    • Journal: Advanced Science

    • Year: 2023

Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

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Mr. Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

Birmingham City University United Kingdom | United Kingdom

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Google Scholar

👩‍⚕️ Mr. Emmanuel Adesuyi – Nurse Educator and Researcher

Emmanuel Adesuyi is a dedicated and passionate academic in the nursing and healthcare profession. As a Doctoral Researcher and Lecturer at Birmingham City University, he combines his love for teaching with rigorous research in the field of nursing and midwifery education. He is committed to evidence-based teaching and the development of curricula that empower nursing and midwifery students. Emmanuel’s academic journey is driven by his goal of fostering continuous learning and contributing to global health through research and policy development.

🎓 Education & Qualifications

Emmanuel is currently pursuing a Doctor of Philosophy (PhD) in Nursing at Birmingham City University, with a focus on teaching and learning in digital spaces in nursing and midwifery education. His academic background includes a Master of Public Health (MPH) from Ladoke Akintola University of Technology, Nigeria, and a Bachelor of Nursing Science (BNSc) degree. He has also completed postgraduate training in research practice and has received certification in leadership and teaching techniques for higher education.

💼 Professional Experience

Emmanuel has a diverse range of professional experiences. He currently holds a full-time position as a Doctoral Researcher and Lecturer at Birmingham City University, contributing to research and curriculum development. He has also worked as a Staff Nurse in various healthcare settings, including Thornbury Nursing Service, Leighton Hospital, and University College Hospital in Nigeria, where he provided patient care in orthopaedics, neurosurgery, and emergency departments.

📝 Research & Scholarly Activity

Emmanuel’s research interests are focused on improving healthcare through education and policy. He is currently working on several projects, including exploring the effectiveness of nursing and midwifery curricula across the WHO-Afro region and studying the impact of digital spaces on teaching and learning. His ongoing research includes studies on HIV/AIDS medication adherence, childhood diarrhea management, and primary healthcare system determinants.

🏆 Grants & Awards

Emmanuel has been awarded several prestigious grants, including a research grant from the Phi Mu Chapter of Sigma Theta Tau Nursing Society, a fully funded fellowship in Global Nurse Leadership by the Global Nursing Leadership Institute, and a grant funded by the WHO and ICN for his project on standardizing nursing and midwifery education in the WHO-Afro region.

🌍 Volunteer & Community Activities

In addition to his academic and professional roles, Emmanuel is deeply committed to community service. He is the Chief Executive Officer of the Institute of Nursing Research, Nigeria, a not-for-profit organization he co-founded in 2016. He has been instrumental in guiding nurses in their research endeavors, promoting evidence-based practices, and providing leadership in various community outreach projects.

📚 Teaching Engagement & Contributions

Emmanuel actively engages with students at various levels, offering both guidance and expertise. He contributes to the teaching of nursing students across different stages of their education at Birmingham City University, including supervising research projects and leading practical and theoretical modules in nursing care.

Emmanuel’s dedication to teaching, research, and healthcare policy development reflects his commitment to enhancing the nursing profession globally. Through his diverse roles and ongoing initiatives, he strives to make a meaningful impact on both education and healthcare delivery. 🌍

📚 Top Notes Publications 

Stigmatization, Medication Adherence and Resilience Among Recently Diagnosed People Living With HIV/AIDS (PLWHA): A Mixed‐Method Study

    • Authors: Emmanuel O. Adesuyi, Cynthia A. Attah, Oluwatosin A. Ige, Confidence C. Attamah, Khadijah A. Jimoh, Opeoluwa O. Olabode, Oluwadamilare Akingbade, Ayobami O. Adeagbo, Rafiat Akinokun, Esther Ilesanmi et al.

    • Journal: Public Health Challenges

    • Year: 2025

Determinants of implementation of evidence-based practice in clinical decision-making among nurses in primary health care facilities in Ondo State, Nigeria

    • Authors: Opeoluwa Oluwatoyin Olabode, Funmilayo A. Okanlawon, Yetunde Olufunmilayo Tola, Emmanuel O. Adesuyi, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Knowledge and Perception of Nursing Students in Nigeria towards Research: A Cross-Sectional Study

    • Authors: Elizabeth Olayimika Awoniyi, Oluwadamilare Akingbade, Caroline Oyebola Ajiboye, Glory Uleko Idigbe, Chioma Joy Eze, Victoria Damilola Adediran, Israel Opeyemi Fawole, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Perceived impact of graduate nurses’ internship program on nursing practice in Nigeria

    • Authors: Afeez Adeshina Suleiman, Rafiat Akinokun, Damilare Jonathan Arowolo, Elisha Oluwatobi Olabisi, Emmanuel O. Adesuyi, Omowunmi Ajiboye, Aduragbemi Oluwapelumi Ogunleye, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Utilisation of Insecticide-treated Net and its Associating Factors in the Prevention of Malaria Among Pregnant Women Attending a Nigerian Antenatal Clinic

    • Authors: D.C Marindoti, B.N Ogunyinka, S.A Ayoola, C.U Samuel, A.O Popoola, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Jinming Sha | Geospatial Intelligence | Excellence in Research

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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

Nobuo Nakada | Data Visualization | Best Researcher Award

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Prof. Nobuo Nakada | Data Visualization | Best Researcher Award

Institute of Science Tokyo | Japan

PUBLICATION PROFILE

Orcid

Scopus

Google Scholar

Prof. Nobuo Nakada ⚡🌍

🌟 INTRODUCTION

Prof. Nobuo Nakada is a distinguished figure in the field of materials science and engineering. With over two decades of academic experience, he has made significant contributions to the study of phase transformations, energy-efficient materials, and materials processing. His academic and professional journey reflects his unwavering commitment to advancing science, education, and sustainable technologies.

📚 EARLY ACADEMIC PURSUITS

Prof. Nakada’s academic journey began at Kyushu University in Japan, where he completed his Bachelor’s in Engineering (1998-2002). He continued to pursue his Master of Engineering between 2002 and 2004 and completed his Doctor of Engineering in 2009, focusing on transformation-induced plasticity in metallic alloys. His dissertation, “Austenite Reversion from Lath Martensite and Its Transformation-Induced Plasticity Effect,” laid the foundation for his future research and innovative contributions to materials science.

💼 PROFESSIONAL ENDEAVORS

Throughout his career, Prof. Nakada has held several prestigious academic positions. In 2004, he began as an Assistant Professor at Kyushu University. His commitment to research and teaching led to his appointment as Associate Professor at Tokyo Institute of Technology in 2015. In 2024, he became a Professor at the Institute of Science Tokyo, following the merger with Tokyo Medical and Dental University. He also became the Department Chair of Materials Science and Engineering at the Institute in April 2024. His career has been marked by significant research roles, including a visiting researcher position at the Max-Planck-Institut für Eisenforschung GmbH in Germany (2011-2012).

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Data Visualization

Prof. Nakada’s research primarily focuses on understanding the mechanical properties of materials, including high-temperature processing and transformation-induced plasticity (TRIP). His work on metallic systems, particularly involving austenite reversion and phase transformation mechanisms, has been influential. Additionally, he has contributed significantly to the development of materials for energy-efficient applications, with a focus on sustainable technologies and environmental impact reduction.

🌍 IMPACT AND INFLUENCE

Prof. Nakada’s contributions have left a lasting impact on the academic and industrial fields. His work has advanced our understanding of material behavior under various stress conditions, particularly for applications in energy and infrastructure. Beyond his research, he has mentored numerous students, fostering the next generation of researchers and engineers who continue to push the boundaries of material science.

📑 ACADEMIC CITATIONS AND PUBLICATIONS

Prof. Nakada’s research has been widely cited and remains a valuable reference for scholars in the field of materials science. His publications, focused on material transformations, phase behavior, and energy research, have made significant contributions to advancing scientific knowledge. His research continues to be recognized and applied in both academic studies and industrial settings.

🏆 HONORS & AWARDS

Throughout his career, Prof. Nakada has received numerous prestigious awards, highlighting his exceptional contributions to materials science. His research and leadership have earned him accolades from leading academic institutions, underscoring the global recognition of his work. These honors serve as a testament to his expertise and influence within the scientific community.

🔮 LEGACY AND FUTURE CONTRIBUTIONS HIGHLIGHT

Looking to the future, Prof. Nakada is poised to continue making significant contributions to materials science and engineering. His work on sustainable materials and transformation mechanisms will drive future advancements in energy technologies and materials development. As a mentor and researcher, he will continue to influence the direction of scientific research for years to come.

✍️ FINAL NOTE

Prof. Nobuo Nakada’s legacy as a researcher, educator, and leader in materials science will undoubtedly continue to shape the field in the coming years. His work on transformation-induced plasticity and energy-efficient materials has profound implications for both academic research and industrial applications. His future contributions will continue to inspire the scientific community.

 📚 TOP NOTES PUBLICATIONS

Title: On the role of austenite stability in yielding behavior of a medium Mn steel with a duplex austenite-martensite microstructure

Authors: Y. Wang, Y. Zhang, W. Gong, Z. Yang, H. Chen
Journal: Acta Materialia
Year: 2025

Title: Comparison between the Lüders and Portevin-Le Chatelier Bands in the Low-strain-rate Tensile Testing of Ultralow-carbon Ferritic Steel

Authors: E. Kyo, S. Lee, R. Nagashima, N. Kariya, S. Kaneko
Journal: ISIJ International
Year: 2024

Title: Microstructural Characterization of Martensite Formed in High-carbon Steel Based on Rodrigues-Frank Space

Authors: K. Tamura, M. Natori, R. Nagashima, N. Nakada
Journal: ISIJ International
Year: 2024

Title: Evaluation of Elastic-Plastic Deformation Behavior of Lath Martensite by Nanoindentation Technique

Authors: M. Shiki, R. Nagashima, N. Nakada
Journal: ISIJ International
Year: 2024

Title: Morphology Dependence on Mechanical Stability of Second-phase Austenite in Martensitic Steels

Authors: T. Abe, K. Fujikura, R. Nagashima, N. Nakada, S. Yabu
Journal: ISIJ International
Year: 2024

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

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

Shanshan Chen | Data Analysis | Best Researcher Award

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Dr. Shanshan Chen | Data Analysis | Best Researcher Award

Jilin Agricultural University, China

👨‍🎓Professional Profile

Scopus Profile

🧑‍🏫 Summary

Dr. Shanshan Chen is an Associate Professor at the College of Horticulture, Jilin Agricultural University, China. She specializes in facility vegetable cultivation physiology and disease-resistant breeding, with a focus on improving agricultural practices and enhancing crop resistance. Dr. Chen has led over 30 scientific projects, contributing to national and provincial research initiatives. Additionally, she has played a key role in developing agricultural standards and patents. As an educator, she teaches courses on horticultural plant breeding, soilless cultivation, and industrialized agriculture.

👩‍🎓 Education

Dr. Shanshan Chen completed her Bachelor’s in Horticulture (2000-2004), Master’s in Vegetable Science (2004-2007), and PhD in Crop Cultivation and Farming Systems (2009-2015) at Jilin Agricultural University.

💼 Professional Experience

Since 2007, Dr. Chen has been an Associate Professor in Facility Agricultural Science and Engineering at Jilin Agricultural University, focusing on agricultural education, research, and development.

📚 Academic Citations

Dr. Chen has authored over 10 research papers, contributed to two new crop varieties, and applied for three utility model patents. She has also helped formulate numerous agricultural standards.

🛠️ Technical Skills

Her expertise lies in facility vegetable cultivation physiology, disease-resistant breeding, and agricultural project management. Dr. Chen has been involved in pioneering agricultural practices and technologies.

👩‍🏫 Teaching Experience

Dr. Chen has taught various courses, including Facility Agriculture, Horticultural Plant Breeding, and Advanced Horticultural Physiology. She has supervised national-level student entrepreneurial projects and won the Second Prize in the 2016 Classroom Teaching Competition for Young Teachers.

🔬 Research Interests

Her research focuses on facility vegetable cultivation physiology, disease-resistant breeding in crops like eggplant and spikenard, and developing advanced agricultural techniques to improve crop quality and efficiency.

 📖Top Noted Publications
Study on the Diversity of Bacterial Communities in the Rhizosphere Soils of Different Wild Celery Species in Jilin Province
    • Authors: Chen, S., Zou, Y., Zhao, C., Zou, Y., Qiao, J.
    • Journal: Agronomy
    • Year: 2024
Effects of Different Combinations of Red and Blue Light on the Edible Organ Morphology and Quality of Buckwheat (Fagopyrum esculentum Moench) Microgreens
    • Authors: Qiao, J., Li, Z., Lv, Z., Chen, S., Feng, Y.
    • Journal: Agronomy
    • Year: 2024
Salicylic Acid Had the Potential to Enhance Tolerance in Horticultural Crops Against Abiotic Stress
    • Authors: Chen, S., Zhao, C.-B., Ren, R.-M., Jiang, J.-H.
    • Journal: Frontiers in Plant Science
    • Year: 2023
Transcriptome Analysis and Genetic Diversity of Allium victorialis Germplasms from the Changbai Mountains
    • Authors: Feng, B., Wang, X., Chen, S., Su, X., Song, S.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021
Characterization of the Complete Chloroplast Genome of the Solanum tuberosum L. cv. Shepody (Solanaceae)
    • Authors: Chen, S., Zhao, Y., Zhang, J.-Y., Zhao, C.-B., Han, Y.Z.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021