Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

Posted on 04/11/202404/11/2024 by sciencefather

Ms. Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

Master’s candidate at King Abdulaziz University, Saudi Arabia

Rahaf AlSuhaimi is a highly motivated researcher specializing in data analysis, data science, and computational modeling with a focus on machine and deep learning applications. Currently a Master’s candidate at King Abdulaziz University, Rahaf has worked on several innovative projects, including using explainable AI for sentiment analysis, evaluating the decision factors for solar energy adoption in Saudi Arabia, and developing strategies for open-source adoption. Her strong technical background includes data visualization, model development, and extensive research experience. Her publications and a “Best Paper Award” showcase her commitment to advancing data science and technology.

professional profile

ORCID

Education

Rahaf AlSuhaimi is currently pursuing a Master’s degree in Computer Information Systems at King Abdulaziz University (2021-present). Her studies focus on utilizing data science methodologies to explore various areas, including sentiment analysis, energy policy, and AI-driven user behavior analysis. During her program, she built advanced models like GRU-LSTM with Explainable AI to identify learner confusion on online forums, developed a BERT model for sentiment classification, and investigated factors influencing solar energy adoption in Saudi Arabia. Rahaf also has a Bachelor’s degree in Information Systems from Taibah University (2016-2020), where she developed foundational skills in data science and computational modeling. Through her education, she has built a solid foundation in machine learning, data manipulation, and visualization, which she applies in her ongoing research work.

work Experience

Rahaf AlSuhaimi has a diverse portfolio of experiences in data science and research. Currently, she serves as a Data Management Officer at Salama Cooperative Insurance (2024-present), where she manages and analyzes data to enhance decision-making processes. Previously, she worked on a one-year research project with the Prince Naif Chair and King Abdulaziz University as an ML/DL Researcher (2023-2024). In this role, she collected and preprocessed data, developed Python-based feature extraction methods, and built machine and deep learning models, contributing to a research paper. Rahaf also engaged in voluntary work at the Deanship of Graduate Studies at King Abdulaziz University, where she assisted in developing a user interface for the deanship site. Her experience includes an internship at Taibah University’s IT Deanship, further strengthening her skills in data management and visualization.

Research Focus

Rahaf AlSuhaimi’s research focuses on using data science and machine learning to solve real-world problems in various domains, including education, sustainability, and public sector technology. Her work involves building explainable AI models like GRU-LSTM to identify patterns of confusion in online learning environments, developing sentiment analysis models using BERT for classifying online reviews, and exploring the factors influencing solar energy adoption in Saudi Arabia. Rahaf is also interested in open-source technology strategies, having conducted surveys and analyzed data to improve adaptation methods in the government sector. Her research is characterized by a commitment to innovation, with applications in environmental sustainability and public service improvement, contributing valuable insights to academia and society.

Awards and honors

Rahaf AlSuhaimi has been recognized for her contributions to data science and research, notably receiving the Best Paper Award at the 6th International Conference on Recent Innovations in Computing and Technology (IRICT) in 2021. This award celebrated her paper’s impact and rigor, underscoring her ability to address complex data challenges with innovative approaches. Rahaf’s academic excellence and commitment to research have earned her acknowledgment within the academic community, encouraging her to continue exploring new dimensions in data science and machine learning. Her achievements reflect a blend of technical skill and dedication, marking her as a rising talent in data-driven research and setting a strong foundation for future accomplishments.

Conclusion

Rahaf AlSuhaimi is a promising candidate for the Best Researcher Award, thanks to her strong technical skills, commendable research output, and innovative projects. Her work demonstrates both practical impact and scholarly contribution, with recognition for her research quality. Enhancing her publication reach and fostering interdisciplinary collaborations could further solidify her standing in the research community. Overall, Rahaf’s accomplishments and proactive approach make her a worthy contender for this award.

Publications to Noted

Identifying Learners’ Confusion in a MOOC Forum Across Domains Using Explainable Deep Transfer Learning

Authors: Rahaf AlSuhaimi

Year: 2024

Citation Count: Not available (recently published)

DOI: 10.3390/info15110681

DEVELOPMENT OF A DECISION-SUPPORT FRAMEWORK OF FACTORS AFFECTING SOLAR SYSTEM INSTALLATION IN SAUDI ARABIA

Authors: Rahaf AlSuhaimi

Year: 2023

Citation Count: Not available

Automatic Saudi Arabian License Plate Detection and Recognition Using Deep Convolutional Neural Networks

Authors: Rahaf AlSuhaimi

Year: 2022

Citation Count: Not available

DOI: 10.1007/978-3-030-98741-1

Taha Etem | Deep Learning | Best Researcher Award

Posted on 13/09/202413/09/2024 by sciencefather

Assist Prof Dr. Taha Etem | Deep Learning | Best Researcher Award

Academician at Cankiri Karatekin University, Turkey

Taha Etem, an Assistant Professor at Çankırı Karatekin University, specializes in computer engineering, cryptography, and electromagnetic wave propagation. His research focuses on developing encryption algorithms, investigating electromagnetic pollution, and advancing random number generation for cryptographic applications. With a Ph.D. from Fırat University and an extensive academic and research background, he has contributed significantly to the field through national and international publications, presentations, and project involvement.

professional profile

Scopus Profile

Google Scholar

ORCID

Education

Taha Etem has pursued an extensive academic journey in engineering, with a focus on cryptography, information security, and electromagnetic waves. He completed his doctoral degree at Fırat University in November 2022, with his thesis centered on the development of a random number generator for cryptography and information security, under the guidance of Associate Professor Dr. Turgay Kaya. Prior to his PhD, he earned his master’s degree from İnönü University in July 2017. His master’s thesis focused on the measurement, mapping, and evaluation of high-frequency electromagnetic wave propagation in the Muş region. His academic journey began with a Bachelor’s degree from Fırat University, completed in February 2013. This foundational degree, earned at the Faculty of Engineering, laid the groundwork for his subsequent research and professional endeavors in areas such as image encryption, random number generation, and electromagnetic pollution.

work Experience

Taha Etem, currently serving as an Assistant Professor at Çankırı Karatekin University’s Faculty of Engineering, has accumulated a wealth of academic and research experience. His primary role at the university began in April 2023, where he contributes to the Department of Computer Engineering, particularly in the field of Computer Hardware. His teaching responsibilities include a range of subjects such as Cryptography, Information Security, and Advanced Time Series Analysis, demonstrating his proficiency in computer programming, cybersecurity, and numerical methods. Before joining Çankırı Karatekin University, Taha Etem held the position of Research Assistant at Mus Alparslan University’s Faculty of Engineering and Architecture in the Department of Electrical-Electronics Engineering. From 2014 to 2023, he focused on Electromagnetic Fields and Microwave Theory. During this time, he worked on various scientific research projects, including studies on electromagnetic wave propagation, low-frequency electromagnetic fields, and the associated health risks in various environments. His involvement in these national research initiatives reflects his ability to collaborate on large-scale projects and his dedication to advancing knowledge in his field.

Research Focus

Dr. Taha Etem’s research primarily focuses on cryptography, information security, and electromagnetic wave propagation. His doctoral work involved developing random number generators for cryptographic applications, aiming to enhance security in digital communication systems. His earlier work includes the measurement, mapping, and evaluation of high-frequency electromagnetic waves, particularly in the Muş region, where he examined the effects of electromagnetic fields on various environments. Dr. Etem has contributed to the field of image encryption, proposing novel algorithms and encryption models that use random bit generators, as seen in his publications in prominent international journals. He has also explored the impact of electromagnetic pollution, conducting detailed studies on low and high-frequency electromagnetic waves in urban and campus environments. His recent projects include innovative approaches to electric vehicle energy consumption using machine learning, showcasing his interdisciplinary expertise in combining computational techniques with engineering applications.

Awards and honors

Taha Etem, an accomplished academic and researcher, has made significant contributions to the fields of cryptography, information security, and electromagnetic field research. His work has been recognized both nationally and internationally through various awards and honors.

He played a key role in multiple national scientific research projects, including his contributions to measuring and evaluating high-frequency electromagnetic waves and assessing electromagnetic pollution risks in university campuses. Taha Etem has also been involved in groundbreaking work on encryption models and random number generation, leading to his recognition in the academic community. His article on a fast image encryption algorithm with random structures, published in International Journal of Computers and Applications, stands out as one of his most impactful contributions to the field of cryptography.

Conclusion

Taha Etem is a strong contender for the Best Researcher Award. His contributions to cryptography and electromagnetic research highlight his potential for continued innovation. While his research is solid, expanding his interdisciplinary reach and international visibility could further bolster his candidacy.

Publications to Noted

A novel true random bit generator design for image encryption
Authors: Taha Etem, T Kaya
Journal: Physica A: Statistical Mechanics and its Applications
Citations: 20
Year: 2020

Self-generated encryption model of acoustics
Authors: Taha Etem, T Kaya
Journal: Applied Acoustics
Citations: 11
Year: 2020

Trivium-linear congruential generator based bit generation for image encryption
Authors: Taha Etem, T Kaya
Journal: Fırat Üniversitesi Mühendislik Bilim Dergisi
Citations: 9*
Year: 2020

Estimation of low frequency electromagnetic values using machine learning
Authors: Z Pala, İ Bozkurt, Taha Etem
Conference: XIIIth International Conference on Perspective Technologies and Methods
Citations: 6
Year: 2017

Electromagnetic pollution measurement in the system rooms of a university
Authors: Taha Etem, Z Pala, İ Bozkurt
Conference: XIIIth International Conference on Perspective Technologies and Methods
Citations: 5
Year: 2017

Electric field measurements of a base station at 2G and 3G frequencies
Authors: Taha Etem, T Abbasov
Conference: XII International Conference on Perspective Technologies and Methods
Citations: 3
Year: 2016

Fast image encryption algorithm with random structures
Authors: Taha Etem, T Kaya
Journal: International Journal of Computers and Applications
Citations: 2
Year: 2023

Measurement and evaluation of low frequency electromagnetic field in camera observation rooms
Authors: I Bozkurt, Z Pala, Taha Etem
Conference: XIIIth International Conference on Perspective Technologies and Methods
Citations: 2
Year: 2017

Measurements Of High Frequency Electromagnetic Waves In Center Of Mus
Authors: Taha Etem, T Abbasov
Journal: International Journal of Applied Mathematics Electronics and Computers
Citations: 1
Year: 2016

Electric Field Measurements of a Base Station at 2G and 3G Frequencies
Authors: Taha Etem, T Abbasov
Conference: MEMSTECH
Citations: 1
Year: 2016

Deming Li | Machine learning | Best Researcher Award

Posted on 21/08/202423/08/2024 by sciencefather

Assoc Prof Dr. Deming Li | Machine learning | Best Researcher Award

Associate professor at Jilin international studies university, China

Dr. Deming Li is an accomplished researcher with a strong focus on digital education, particularly in the realm of preschool education and the application of advanced technologies like machine learning, blockchain, and IoT. He holds a Doctorate in Business Administration (DBA) and serves as an Associate Professor and Master’s Supervisor at Jilin International Studies University. He also holds significant academic part-time positions as Chief Editor and Associate Editor of international journals related to education. Dr. Li has authored several high-impact articles in prestigious journals and has led various educational projects supported by notable organizations.

📝professional profile

ORCID

🎓Educational Details:

Dr. Deming Li’s educational background is rooted in advanced studies that have significantly contributed to his expertise in digital education. He earned his Doctorate in Business Administration (DBA) from the prestigious Université de Montpellier. This advanced degree has provided him with a strong foundation in research methodologies and educational leadership, which he has applied throughout his academic career. In addition to his doctoral studies, Dr. Li has continued to enhance his knowledge and skills through various professional development opportunities, allowing him to stay at the forefront of the rapidly evolving field of digital education. His educational journey has equipped him with the tools necessary to integrate cutting-edge technologies into educational practices, particularly in the realm of preschool education, where his work has made a profound impact.

👨‍🏫Experience:

Dr. Deming Li is an esteemed researcher and academic with a significant focus on digital education, particularly in the area of preschool education. He currently holds the position of Associate Professor and Master’s Supervisor at Jilin International Studies University. In addition to his academic roles, Dr. Li is a Researcher at the Shanghai Institute of Lifelong Education at East China Normal University. His academic journey includes earning a Doctorate in Business Administration (DBA) from Université de Montpellier.

Dr. Li has made notable contributions to the academic community through his extensive research and publications. He has authored numerous articles in high-impact journals, including SSCI, SCI, and EI-indexed journals, where his work on machine learning, neural networks, blockchain, and IoT technology in education has gained significant recognition. Some of his papers have been highlighted as hot papers, reflecting their influence in the academic world.

Beyond his research, Dr. Li has demonstrated leadership in the academic publishing arena. He serves as the Chief Editor of the international journal “Innovation and Practice of Teaching Methods” and as an Associate Editor for the “Journal of Education Theory and Management.” These roles underscore his influence in shaping the discourse within the field of education.

Awards and Honors:

Dr. Deming Li has earned numerous awards and honors throughout his distinguished career in digital education. His contributions have been recognized by various academic and professional organizations, reflecting his leadership and innovation in the field. He has been the recipient of several prestigious grants, including those from the Ministry of Education, the Chinese Society of Education, and the Shanghai Municipal Education Commission, underscoring the impact and relevance of his research. Additionally, Dr. Li’s work has been acknowledged with accolades for his high-impact publications, some of which have been classified as hot papers, placing them among the top 1% in their field. His editorial roles in leading international journals also speak to his esteemed reputation within the academic community, further solidifying his status as a thought leader in digital education. These awards and honors not only highlight Dr. Li’s exceptional contributions to advancing educational practices through technology but also reinforce his standing as a pioneering researcher in the global academic landscape.

Conclusion:

Dr. Deming Li is a strong candidate for the Research for Best Researcher Award. His prolific contributions to digital education, particularly his innovative application of advanced technologies in preschool education, set him apart in his field. His leadership in academic publishing and project management further highlights his suitability for this award. Addressing the areas for improvement, such as expanding the practical impact of his research and fostering more interdisciplinary and international collaborations, could elevate his work even further. Overall, Dr. Li’s achievements and ongoing contributions make him a deserving contender for this prestigious recognition.

📚Publications to Noted

Title: An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm
Journal: Computers in Human Behavior
Year: 2024
DOI: 10.1016/j.chb.2024.108211
ISSN: 0747-5632
Author: Deming Li
Title: Research on Family Safety Education for Pre-school Children in China
Journal: The Educational Review, USA
Year: 2024
DOI: 10.26855/er.2024.01.023
ISSN: 2575-7938, 2575-7946
Author: Deming Li
Title: Performance Evaluation of Special Fund for Chinese Private Education: Logic and Index System
Journal: Journal of Humanities, Arts and Social Science
Year: 2023
DOI: 10.26855/jhass.2023.11.025
ISSN: 2576-0556, 2576-0548
Author: Deming Li
Title: Theory and Practice of Preschool Education Digitalization
Publisher: UK Scientific Publishing
Year: 2023
Type: Book
Author: Deming Li
Title: Computerized Data Analysis of the Current Situation of Children’s Psychological Education Using Big Data
Journal: Computer-Aided Design and Applications
Year: 2023
DOI: 10.14733/cadaps.2024.S9.152-160
Source: Crossref
Author: Deming Li
Title: Visual Analysis of the Integration of Traditional Chinese Culture into Preschool Education
Journal: The Educational Review, USA
Year: 2023
DOI: 10.26855/er.2023.08.024
ISSN: 2575-7938, 2575-7946
Author: Deming Li
Title: Research Hotspots and Future Trends of Digital Competence of Preschool Teachers Based on Citespace Analysis
Journal: Heilongjiang Science
Year: 2023
Author: Deming Li
Title: Exploring the Computational Effects of Advanced Deep Neural Networks on Logical and Activity Learning for Enhanced Thinking Skills
Journal: Systems
Year: 2023
DOI: 10.3390/systems11070319
Source: Crossref
Author: Deming Li
Title: Research map of the hot spots and future trends of foreign basic education reform in recent 20 years
Journal: Journal of Comparative Education
Year: 2023
Author: Deming Li
Title: The Concept of Higher Education Quality Evaluation based on Big Data Analysis
Journal: BCP Social Sciences & Humanities
Year: 2022
DOI: 10.54691/bcpssh.v20i.2158
ISSN: 2692-6172
Author: Deming Li

Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

Ms. Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

Taha Etem | Deep Learning | Best Researcher Award

Assist Prof Dr. Taha Etem | Deep Learning | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

Deming Li | Machine learning | Best Researcher Award

Assoc Prof Dr. Deming Li | Machine learning | Best Researcher Award

🎓Educational Details:

👨‍🏫Experience:

Awards and Honors:

Conclusion:

📚Publications to Noted

RECOMMENDED

Mail us