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

google scholar

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

Yasin Fatemi | Computer Science and Artificial Intelligence | Best Researcher Award

Yasin Fatemi | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Yasin Fatemi, Auburn University, United States

Based on the details provided, Mr. Yasin Fatemi is a highly suitable candidate for a Researcher of the Year Award.

Publication profile

google scholar

Educational Background 📚

Mr. Fatemi has a robust academic foundation with a Ph.D. in Industrial and Systems Engineering from Auburn University, where he has maintained a perfect GPA of 4.0. His ongoing M.Sc. in Data Science further complements his expertise, and he also holds an M.Sc. and B.Sc. in Industrial and Systems Engineering from Tarbiat Modares University and the University of Kurdistan, respectively. This diverse and interdisciplinary educational background supports his innovative research in healthcare and systems optimization.

Research Experience and Contributions 🔬

Mr. Fatemi’s research is both extensive and impactful. His recent work involves using machine learning and network analysis to address critical healthcare issues such as low birth weight prediction, racial disparities in maternal outcomes, and cardiovascular death among liver transplant recipients. These projects showcase his ability to apply advanced analytical methods to real-world problems, significantly contributing to the fields of healthcare and data science. His studies have utilized cutting-edge techniques such as Recursive Feature Elimination, SHapley Additive exPlanations (SHAP), and network feature analysis, highlighting his technical prowess and innovation.

Publications and Academic Output 📝

Mr. Fatemi has authored several peer-reviewed articles, contributing to reputable journals like Frontiers in Public Health and Journal of Multidisciplinary Healthcare. His research on the stress and compensation perceptions of frontline nurses during the COVID-19 pandemic, as well as his work on hospital smart notification systems, demonstrates his commitment to improving healthcare environments and outcomes. His publications reflect his ability to tackle diverse and pressing issues, making him a significant contributor to the academic community.

Technical and Academic Skills 🛠️

Mr. Fatemi’s technical skills are impressive, encompassing data analysis tools like Python, R, and SQL, and specialized software for simulation and optimization. His expertise in machine learning, statistical learning, and network analysis is evident in his research outputs, further establishing his credibility as an innovative researcher.

Conclusion

Mr. Yasin Fatemi’s strong educational background, extensive research experience, and impactful contributions to healthcare and data science make him an excellent candidate for a Best Researcher Award. His ability to apply complex analytical techniques to critical issues in healthcare and his consistent academic excellence underscore his suitability for this recognition.

Publication top notes

Investigating frontline nurse stress: perceptions of job demands, organizational support, and social support during the current COVID-19 pandemic

Listening to the Voice of the hospitalized child: comparing children’s experiences to their parents

The Cost of Frontline Nursing: Investigating Perception of Compensation Inadequacy During the COVID-19 Pandemic

ChatGPT in Teaching and Learning: A Systematic Review

Machine Learning Approach for Cardiovascular Death Prediction among Nonalcoholic Steatohepatitis (NASH) Liver Transplant Recipients

Evaluating a Hospital Smart Notification System in a Simulated Environment: The Method

Machine Learning Approaches for Cardiovascular Death Prediction Among Nash Liver Transplant Recipients