Mr. Eze Jude Uche | Artificial Intelligence | Best Researcher Award

Mr. Eze Jude Uche | Artificial Intelligence | Best Researcher Award

Mr. Eze Jude Uche | The Ohio State University College of Pharmacy | United States

Mr. Eze Jude Uche is a dedicated and accomplished researcher in pharmacoepidemiology, patient-reported outcomes, cancer therapy, infection prevention, and predictive modeling. He is currently pursuing a PhD in Health Services & Outcomes Research at The Ohio State University College of Pharmacy, where he is recognized as a Dean’s Distinguished Fellow and receives advanced training in pharmacoepidemiology, biostatistics, survival analysis, causal inference, and bioinformatics. He holds a Bachelor of Pharmacy (BPharm) from the University of Nigeria, Nsukka, with a distinction in Pharmacy Administration and Management; his thesis focused on assessing malaria treatment patterns and costs in community pharmacies and patent medicine shops in Nsukka and Enugu. He has 2 published documents to his credit. Mr. Uche has extensive research experience, including a tenure as a Graduate Research Assistant and Intern Pharmacist at the National Institute for Pharmaceutical Research and Development in Abuja, where he conducted comprehensive literature reviews, analyzed and interpreted experimental results, and authored detailed research reports. His hands-on experience spans microbial preparation, standardization of bacteria and Candida species, extraction of plant materials, chromatographic separation for pharmacologic screening, in-vitro drug testing using animal models, and qualitative and quantitative pharmaceutical analysis, reflecting a strong commitment to advancing pharmaceutical and healthcare research.

Profile: Scopus

Featured Publication

Uche, E. J.,(2025). Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction. BMC Medical Informatics and Decision Making. Advance online publication.

 

Dr. İsmail ATACAK | Machine Learning | Best Researcher Award

Dr. İsmail ATACAK | Machine Learning | Best Researcher Award

Dr. İsmail ATACAK , Gazi University , Turkey.

Dr. İsmail ATACAK is an Assistant Professor at Gazi University, Faculty of Technology, Department of Computer Engineering. 🎓 He earned his Ph.D. in Electronic-Computer Education and specializes in Artificial Intelligence (AI) algorithms, including Machine Learning, Deep Learning, Fuzzy Logic, and Optimization. 🤖 His research extends to Data Science and Bioinformatics, where he applies AI to various real-world challenges. 🧠 Apart from academia, he has led multiple research projects, particularly focusing on AI applications in energy storage and control systems. ⚡🔋 He has also published extensively in reputable journals, contributing significantly to his field. 📚✨

Publication Profile

Scopus
Orcid
Google Scholar

Education & Experience 🎓👨‍🏫

Ph.D. in Electronic-Computer Education – Focus on AI and Optimization 🏆
Assistant Professor at Gazi University – Department of Computer Engineering 🏛️
Research in AI, Data Science & BioinformaticsMachine Learning, Deep Learning, Fuzzy Logic 🤖📊
Principal Investigator – AI-based Hybrid Energy Storage System for Electric Vehicles 🚗🔋
Published Author – Numerous articles in high-impact journals 📖

Suitability Summary

Dr. İsmail ATACAK, a distinguished Assistant Professor at Gazi University, is honored with the Best Researcher Award for his outstanding contributions to the fields of Artificial Intelligence, Machine Learning, Deep Learning, Fuzzy Logic, and Bioinformatics. His pioneering research has significantly advanced the development of intelligent systems, optimization algorithms, and AI-based control mechanisms, making a profound impact on the scientific community.

Professional Development 🚀📈

Dr. İsmail ATACAK has continuously developed his expertise by engaging in multidisciplinary AI research. 🤖 His work integrates AI-driven solutions into engineering and technology, particularly in energy systems and bioinformatics. 🔬⚡ He actively collaborates with researchers worldwide, enhancing the implementation of AI in control applications and optimization algorithms. 🌍💡 His commitment to innovation has led to significant contributions in the fields of machine learning and deep learning. 🏆 He also mentors students and young researchers, fostering the next generation of AI experts. 🎓📚 His ongoing projects aim to bridge the gap between theoretical AI research and real-world applications. 🌟🔍

Research Focus  🔬🧠

Dr. İsmail ATACAK’s research revolves around the advancement and application of Artificial Intelligence in various domains. 🤖 His primary interests include:
🟢 Machine Learning & Deep Learning – Developing smart, data-driven solutions 📊🧠
🟢 Fuzzy Logic & Optimization Algorithms – Enhancing decision-making and automation 🔄⚙️
🟢 Data Science & Bioinformatics – AI applications in healthcare and genomics 🏥🧬
🟢 AI in Energy Storage Systems – Smart energy management for electric vehicles 🚗🔋
🟢 Control Systems & Automation – Integrating AI for improved industrial processes 🏭🤖
His research not only contributes to academic knowledge but also drives technological advancements in AI-based solutions. 📚💡

Awards & Honors 🏆🎖️

🏅 Best Research Paper Award – Recognized for outstanding AI research contributions 📜💡
🏅 Principal Investigator Grant – Secured funding for AI-based energy storage research ⚡🔍
🏅 Outstanding Reviewer Award – Recognized for reviewing high-impact AI journals 📖👏
🏅 Innovation in AI Applications Award – Contribution to AI-driven control systems 🏭🤖
🏅 Distinguished Academic Excellence Award – For excellence in AI and Machine Learning 🏛️✨

Publication Top Notes

🔹 An Ensemble Approach Based on Fuzzy Logic Using Machine Learning Classifiers for Android Malware Detection
📖 Applied Sciences
📅 Published: January 23, 2023
🔗 DOI: 10.3390/app13031484

🔹 Android Malware Detection Using a Hybrid ANFIS Architecture with Low Computational Cost Convolutional Layers
📖 PeerJ Computer Science
📅 Published: September 26, 2022
🔗 DOI: 10.7717/peerj-cs.1092

🔹 Community and Topic Detection in Social Networks: A Systematic Literature Review
📖 Journal of Information Technologies
📅 Published: July 2022
🔗 DOI: 10.17671/gazibtd.1061332

🔹 A Novel Approach to Skin Lesion Segmentation: Multipath Fusion Model with Fusion Loss
📖 Computational and Mathematical Methods in Medicine
📅 Published: July 29, 2022
🔗 DOI: 10.1155/2022/2157322

🔹 Development of an IoT-Based Rumen Health Monitoring Prototype for Cattle Using Fuzzy Logic Controllers
📖 Gazi Journal of Engineering Sciences
📅 Published: May 5, 2022
🔗 DOI: 10.30855/gmbd.2022.01.13

Conclusion

Dr. İsmail ATACAK’s dedication, research excellence, and transformative innovations make him a deserving recipient of the Best Researcher Award. His interdisciplinary approach has bridged the gap between AI, cybersecurity, energy efficiency, and healthcare, showcasing the potential of cutting-edge technologies to solve real-world problems. His visionary leadership and continued contributions position him among the most influential researchers in superior engineering and artificial intelligence. 🚀