Prof. Mahmoud Elmezain – Data Analysis – Best Researcher Award

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Prof. Mahmoud Elmezain - Data Analysis - Best Researcher Award

taibahy Unversity - Saudi Arabia

AUTHOR PROFILE

SCOPUS

ORCID 

EARLY ACADEMIC PURSUITS

Mahmoud Othman Selim Elmezain embarked on his academic journey by pursuing a Bachelor's degree in Pure Mathematics & Computer Science at Taibah University, Saudi Arabia, where he graduated with honors in 1996. This early academic pursuit laid the foundation for his future endeavors in the field of computer science and electrical engineering.

PROFESSIONAL ENDEAVORS

Elmezain's professional journey began with roles as a Demonstrator and later as an Assistant Lecturer in the Computer Science Division at Tanta University, Egypt, from 1997 to 2006. Subsequently, he pursued his doctoral studies at Otto-von-Guericke University, Magdeburg, Germany, from 2006 to 2010. Following his doctoral research, he held positions as a Lecturer at Tanta University, a post-doctoral researcher at Magdeburg University, Germany, and currently serves as an Assistant Professor at the Faculty of Science and Computer Engineering, Yanbu, Taibah University, Saudi Arabia.

CONTRIBUTIONS AND RESEARCH FOCUS ON DATA ANALYTICS

Elmezain's research interests span a wide range of areas within computer science and electrical engineering, including Artificial Intelligence, Natural Language Processing, Machine Translation, Data Analytics, Multi-modal Recognition of Intention, Image Processing, Robotics, Data Analysis Human-Computer Interaction, Machine Learning, Pattern Recognition, Gesture and Posture Recognition. His research contributions have enriched the understanding of these domains, with a focus on innovative methodologies and applications.

IMPACT AND INFLUENCE

Through his active participation in scientific activities, including memberships in IEEE and the Egyptian Mathematics Association, Elmezain has contributed to the academic community's growth and development. His involvement as a reviewer for prestigious journals and conferences underscores his influence in shaping the discourse within his field. Additionally, his supervision of MSc and PhD students highlights his commitment to nurturing the next generation of researchers and scholars.

ACADEMIC CITES

Elmezain's scholarly work has garnered citations, indicating the significance and impact of his research contributions. His publications and research endeavors have contributed to advancing knowledge and understanding in areas such as Artificial Intelligence, Machine Learning, and Image Processing, Data Analysis  garnering attention and recognition from fellow researchers and practitioners.

LEGACY AND FUTURE CONTRIBUTIONS

As Mahmoud Othman Selim Elmezain continues his academic and professional journey, his legacy is defined by his dedication to scholarly inquiry, innovative research, and mentorship. Through his ongoing contributions to academia and industry, he is poised to leave a lasting impact on the field of computer science and electrical engineering, inspiring future generations of researchers and practitioners to push the boundaries of knowledge and innovation.

NOTABLE PUBLICATIONS

Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields  2022(14)

Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying  2022(7)

Spatial Impressions Monitoring during COVID-19 Pandemic Using Machine Learning Techniques  2022(6)

Retrieving Semantic Image Using Shape Descriptors and Latent-Dynamic Conditional Random Fields  2021(3)

Poisonous Plants Species Prediction Using a Convolutional Neural Network and Support Vector  2022(1)

Mr. Brajesh Kumar – machine learning – Best Researcher Award

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Mr. Brajesh Kumar - machine learning - Best Researcher Award

C. V. Raman Global University - India

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS

Brajesh Kumar embarked on his academic journey with a keen interest in computer science and data science. His Bachelor's degree in Computer Science with a specialization in Data Science from C.V. Raman Global University showcased his dedication to mastering cutting-edge technologies and applying them to real-world problems. With strong academic achievements throughout his schooling and university, Kumar laid a solid foundation for his future endeavors in technology and innovation.

PROFESSIONAL ENDEAVORS

Kumar gained practical experience through summer training internships at prestigious organizations such as SAIL, Bhilai Steel Plant, and ONGC. These experiences exposed him to industry practices, including vendor registration processes and oil and gas leakage analysis. His ability to apply his academic knowledge to real-world projects demonstrated his adaptability and readiness for professional challenges in the field of technology.

CONTRIBUTIONS AND RESEARCH FOCUS ON MACHINE LEARNING

Kumar's research work spans diverse domains, including blockchain technology and machine learning. His contributions to decision analytics and healthcare fraud detection, as evidenced by his publication in the Decision Analytics Journal, showcase his innovative approach to addressing critical industry challenges. Additionally, his work on skin disease classification using advanced diagnostic frameworks highlights his commitment to leveraging technology for improving healthcare outcomes.

IMPACT AND INFLUENCE

Through his projects and research endeavors, Kumar has made a significant impact on various industries, including healthcare, finance, and transportation. His development of an advanced blockchain-based solution for tracing fraudulent claims in healthcare demonstrates his potential to revolutionize processes and enhance transparency in crucial sectors. Furthermore, his work on skin disease detection and number plate recognition showcases his ability to leverage technology for societal benefit.

ACADEMIC CITES

Kumar's research publications and conference presentations have garnered recognition within the academic community, highlighting the relevance and impact of his work. His contributions to decision analytics and skin disease classification have been accepted by reputable journals and conferences, contributing to the advancement of knowledge in their respective fields.

LEGACY AND FUTURE CONTRIBUTIONS

As Kumar continues to expand his skill set and pursue further research opportunities, his legacy lies in his dedication to innovation and problem-solving. His proficiency in blockchain, machine learning, and big data analysis positions him as a valuable asset in the technology sector. Looking ahead, Kumar's future contributions are poised to shape the landscape of technology and drive positive change in society through his expertise and vision.

NOTABLE PUBLICATIONS

An advanced blockchain-based hyperledger fabric solution for tracing fraudulent  2024

Ms. Maria Nelago Kanyama – Machine Learning – Best Researcher Award

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Ms. Maria Nelago Kanyama - Machine Learning - Best Researcher Award

Namibia University of Science and Technology - Namibia

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS:

M.N. Kanyama commenced his academic journey with a Bachelor of Engineering in Electronics and Telecommunication from Namibia University of Science and Technology (NUST) in January 2010. His early research project focused on the design and development of a smart greenhouse technology using GSM and GPRS, showcasing an early interest in innovative technologies.

PROFESSIONAL ENDEAVORS:

Kanyama's professional journey includes diverse roles, such as his tenure as Air Traffic Electronics and Safety Personnel (ATSEP) at Namibia Civil Aviation Authority, where he played a pivotal role in maintaining CNS systems and ensuring air traffic safety. Prior to this, he served as a Core Network Engineer at Huawei Telecommunications and Technologies, contributing to core network equipment installation, troubleshooting, and project delivery.

CONTRIBUTIONS AND RESEARCH FOCUS ON MACHINE LEARNING

M.N. Kanyama's research interests, as evidenced by his Doctor of Philosophy pursuit at Namibia University of Science and Technology, span a wide spectrum. From Integrated Water Resource Management (IWRM) to anomaly detection models, data security, deep learning, and Blockchain technology, his work reflects a comprehensive exploration of critical areas in computer science.

IMPACT AND INFLUENCE:

Kanyama's impact extends beyond routine maintenance and troubleshooting. His research contributions, particularly in anomaly detection techniques for Smart Water Metering Networks, have been presented at international workshops and symposiums. The systematic review on machine learning applications for anomaly detection in Smart Water Metering Networks attests to his influence in the academic domain.

ACADEMIC CITES:

His work has been recognized and cited in various academic settings. The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2017) and the 23rd WaterNet/WARFSA/GWPSA Symposium are among the platforms where his research findings were shared and acknowledged.

LEGACY AND FUTURE CONTRIBUTIONS:

Kanyama's legacy lies in his multidisciplinary approach, combining expertise in electronics, telecommunications, and computer science. As he pursues a Doctor of Philosophy, his research on Blockchain technology for securing Smart Water Metering Networks stands out, showcasing a commitment to addressing contemporary challenges. His future contributions are anticipated in shaping the intersection of technology and water resource management.

NOTABLE PUBLICATIONS

Machine learning applications for anomaly detection in Smart Water Metering Networks: A systematic review   2024

Md. Touhidul Islam – Artificial Intelligence – Best Researcher Award

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Assist Prof Dr. Md. Touhidul Islam - Artificial Intelligence - Best Researcher Award

NPI University of Bangladesh - Bangladesh

AUTHOR PROFILE

SCOPUS

ORCID

EARLY ACADEMIC PURSUITS:

Md. Touhidul Islam, an accomplished academician, commenced his educational journey with a focus on marketing. Graduating with a Bachelor's degree (BBA) in Business Administration from Pabna University of Science and Technology in 2012, he demonstrated academic excellence with a CGPA of 3.90 out of 4, earning the top position in the department and second in the faculty.

PROFESSIONAL ENDEAVORS:

Touhidul's professional journey reflects a seamless blend of teaching, research, and administrative responsibilities. He entered the academic sphere as a Lecturer at NPI University of Bangladesh (NPIUB) in Manikgonj in 2017, showcasing his commitment to shaping the academic growth of students. This role paved the way for subsequent advancements, and he currently serves as an Assistant Professor at NPIUB since May 2020.

CONTRIBUTIONS AND RESEARCH FOCUS ON ARTIFICIAL  INTELLIGENCE

Touhidul's research journey is marked by a pursuit of excellence in marketing. Currently engaged in his PhD at the University of Dhaka, his commitment to contributing to the field is evident. His research interests, particularly in marketing management, organizational behavior, and international business management, showcase a comprehensive approach to understanding the dynamics of the business world.

IMPACT AND INFLUENCE:

As a counselor for student hunting and admission, director (student advisor), and member of various university committees, Touhidul has made a tangible impact on student welfare and university governance. His involvement in student clubs and sports further demonstrates his commitment to fostering a holistic educational environment.

LEGACY AND FUTURE CONTRIBUTIONS:

Touhidul's legacy is characterized by a commitment to education, both in the classroom and beyond. As he continues to contribute to academia, his future endeavors are anticipated to further enrich the educational landscape. With a focus on research and teaching, he aspires to make lasting contributions to the field of marketing and business administration.

NOTABLE  PUBLICATION:

Practices of artificial intelligence to improve the business in Bangladesh.  2024

Newly developed green technology innovations in business: paving the way toward sustainability.   2023