Cheikh Abdelkader Ahmed Telmoud | Computer Science and Artificial Intelligence | Best Researcher Award

Cheikh Abdelkader Ahmed Telmoud | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Cheikh Abdelkader Ahmed Telmoud, Nouakchott University, Mauritania

Based on Mr. Cheikh Abdelkader Ahmed Telmoud’s academic and professional background, he appears to be a strong candidate for a “Best Researcher Award.

Publication profile

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Education and Expertise

Mr. Telmoud has a solid educational foundation, currently pursuing a Ph.D. in Computer Sciences with a focus on AI applications in healthcare, food security, similarity learning, and NLP. His Master’s and Bachelor’s degrees in Computer Science with specializations in Data Science, Networks, and Information Systems further reinforce his expertise in these critical fields.

Professional Experience

As a Communication Support Manager, Project Manager, and Full Stack Developer at Next Technology, Mr. Telmoud has demonstrated significant practical experience in the tech industry, managing multiple FinTech projects. His role in developing innovative solutions like CrossPay and BCIpay showcases his capability to apply his academic knowledge to real-world problems.

Research Contributions

Mr. Telmoud’s research contributions are impressive, spanning various domains such as AI in healthcare and agriculture, similarity learning, and natural language processing. His published articles and presentations at international conferences demonstrate his commitment to advancing knowledge in these areas. Notably, his work on optimizing ML models for rice yield prediction and heart disease diagnosis highlights his focus on impactful research with tangible benefits.

Scientific Impact

The breadth and depth of Mr. Telmoud’s research, especially in AI-driven solutions for healthcare and agriculture, reflect his potential to make significant contributions to these fields. His involvement in cutting-edge research projects, such as similarity learning and Arabic dialect identification, further underline his research capabilities.

Conclusion

Mr. Cheikh Abdelkader Ahmed Telmoud’s blend of academic excellence, practical experience, and impactful research makes him a deserving candidate for the Best Researcher Award. His work not only advances scientific knowledge but also addresses real-world challenges, making a positive difference in society.

Publication top notes

Elevating Cardiac Health with ECG Classification Using Machine Learning

Cutting-Edge Predictive Models: A Comparative Study on Heart Disease Diagnosis

EcoSense: A Smart IoT-Based Digital Twin Monitoring System for Enhanced Farm Climate Insights

Harvesting Insights: AI-driven Rice Yield Predictions and Big Data Analytics in Agriculture

REVOLUTIONIZING RICE YIELD PREDICTION: A DATA-DRIVEN APPROACH IN MAURITANIA

ADVANCING HEART DISEASE DIAGNOSIS AND ECG CLASSIFICATION USING MACHINE LEARNING

DeepSL: Deep Neural Network-based Similarity Learning.

Optimizing Machine Learning Models for Enhanced Rice Yield Prediction

Optimizing ML Models for Enhanced Rice Yield Prediction and Development of an Integrated Platform for Monitoring, and Rice Yield Prediction In Precision Agriculture

Revolutionizing Heart Disease Prediction: A Machine Learning Approach

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Simon Wong, College of Professional and Continuing Education, the Hong Kong Polytechnic University, Hong Kong

Dr. Simon Wong is a distinguished educator with a Doctor of Education from the University of Leicester, UK. His extensive academic background includes an M.Phil. from PolyU and a Bachelor’s in Computer Science from the University of Minnesota, USA. Dr. Wong serves as a lecturer at CPCE, PolyU, and holds professional certifications in financial technology and Oracle. His industrial experience spans roles as a senior consultant and software engineer. Dr. Wong has led numerous academic programs and research initiatives, specializing in subjects like database systems, e-commerce, and cloud computing. He is a committed member of professional organizations and has significantly contributed to academic management and leadership. πŸŒŸπŸŽ“πŸ’Ό

Publication profile

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Academic Qualifications

Dr.Β  holds a Doctor of Education from the University of Leicester, UK (2012), where they researched effective online learning in Hong Kong higher education institutions, supervised by Prof. Paul Cooper πŸŽ“πŸ“š. They also earned a Master of Philosophy from PolyU (1997), focusing on designing and analyzing a bypass construction algorithm for self-healing asynchronous transfer mode networks under the guidance of Dr. K. C. Chang and Prof. Keith Chan πŸ“˜πŸ’‘. Additionally, they graduated with distinction in Computer Science from the University of Minnesota, Twin Cities, USA (1993) πŸŽ“πŸ’».

Experience

With extensive experience in the tech industry, the individual served as a Senior Consultant at Oracle Systems Hong Kong Ltd (Aug 2000 – Sep 2003) 🏒, a Software Engineer at Skyworld Technology Ltd (Jun 1993 – May 1994) πŸ’», and a Consultant at the Microcomputer Laboratory, University of Minnesota (Sep 1991 – Mar 1993) πŸ“Š. Since Sep 2003, they have been a Lecturer at CPCE, PolyU πŸ“š, and previously held roles as a Lecturer (Sep 1998 – Aug 2000) πŸ‘¨β€πŸ«, Demonstrator (Sep 1996 – Aug 1998) πŸ”¬, and Research Student (Jun 1994 – Jun 1996) πŸŽ“ in the Department of Computing at PolyU.

Awards

With an illustrious career marked by numerous accolades and significant research contributions, I have received the Best Paper Awards in 2018, 2019, and 2023 πŸŽ‰πŸ“š. I have successfully led and contributed to various high-impact projects, including those funded by the Quality Education Fund and CPCE πŸ†πŸ’‘. My roles have ranged from Associate Academic Director to Co-Investigator and Consultant, focusing on innovative technologies like AI, blockchain, and machine learning πŸ€–πŸ”—. My work has significantly advanced educational technology and pedagogy, earning over HK$2 million in funding for projects aimed at improving learning experiences and outcomes πŸŽ“πŸ’Ό.

Research focus

Simon Wong’s research focus is on the integration of blockchain technology in supply chain management, emphasizing sustainability. His work includes examining the adoption of blockchain integrated with cloud-based systems and machine learning to enhance sustainable practices in supply chains. Through critical literature reviews and case studies, Wong investigates the technical sustainability and implications of blockchain technology. His research aims to provide insights into the practical applications and benefits of blockchain for improving transparency, efficiency, and sustainability in supply chain operations. πŸŒπŸ“¦πŸ”—πŸ“ŠπŸŒΏ

Publication top notes

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices

Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management

Sustainability of Blockchain Technology in Supply Chains: Implications from a Critical Literature Review