Dr. Δ°smail ATACAK | Machine Learning | Best Researcher Award
Dr. Δ°smail ATACAK , Gazi University , Turkey.
Dr. Δ°smail ATACAK is an Assistant Professor at Gazi University, Faculty of Technology, Department of Computer Engineering. π 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. π€ His research extends to Data Science and Bioinformatics, where he applies AI to various real-world challenges. π§ Apart from academia, he has led multiple research projects, particularly focusing on AI applications in energy storage and control systems. β‘π He has also published extensively in reputable journals, contributing significantly to his field. πβ¨
Publication Profile
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Education & Experience ππ¨βπ«
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Ph.D. in Electronic-Computer Education β Focus on AI and Optimization π
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Assistant Professor at Gazi University β Department of Computer Engineering ποΈ
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Research in AI, Data Science & Bioinformatics β Machine Learning, Deep Learning, Fuzzy Logic π€π
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Principal Investigator β AI-based Hybrid Energy Storage System for Electric Vehicles ππ
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Published Author β Numerous articles in high-impact journals π
Suitability Summary
Dr. Δ°smail 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 ππ
Dr. Δ°smail ATACAK has continuously developed his expertise by engaging in multidisciplinary AI research. π€ His work integrates AI-driven solutions into engineering and technology, particularly in energy systems and bioinformatics. π¬β‘ He actively collaborates with researchers worldwide, enhancing the implementation of AI in control applications and optimization algorithms. ππ‘ His commitment to innovation has led to significant contributions in the fields of machine learning and deep learning. π He also mentors students and young researchers, fostering the next generation of AI experts. ππ His ongoing projects aim to bridge the gap between theoretical AI research and real-world applications. ππ
Research Focus Β π¬π§
Dr. Δ°smail ATACAK’s research revolves around the advancement and application of Artificial Intelligence in various domains. π€ His primary interests include:
π’ Machine Learning & Deep Learning β Developing smart, data-driven solutions ππ§
π’ Fuzzy Logic & Optimization Algorithms β Enhancing decision-making and automation πβοΈ
π’ Data Science & Bioinformatics β AI applications in healthcare and genomics π₯π§¬
π’ AI in Energy Storage Systems β Smart energy management for electric vehicles ππ
π’ Control Systems & Automation β Integrating AI for improved industrial processes ππ€
His research not only contributes to academic knowledge but also drives technological advancements in AI-based solutions. ππ‘
Awards & Honors πποΈ
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Best Research Paper Award β Recognized for outstanding AI research contributions ππ‘
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Principal Investigator Grant β Secured funding for AI-based energy storage research β‘π
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Outstanding Reviewer Award β Recognized for reviewing high-impact AI journals ππ
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Innovation in AI Applications Award β Contribution to AI-driven control systems ππ€
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Distinguished Academic Excellence Award β For excellence in AI and Machine Learning ποΈβ¨
Publication Top Notes
πΉ An Ensemble Approach Based on Fuzzy Logic Using Machine Learning Classifiers for Android Malware Detection
π Applied Sciences
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Published: January 23, 2023
π DOI: 10.3390/app13031484
πΉ Android Malware Detection Using a Hybrid ANFIS Architecture with Low Computational Cost Convolutional Layers
π PeerJ Computer Science
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Published: September 26, 2022
π DOI: 10.7717/peerj-cs.1092
πΉ Community and Topic Detection in Social Networks: A Systematic Literature Review
π Journal of Information Technologies
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Published: July 2022
π DOI: 10.17671/gazibtd.1061332
πΉ A Novel Approach to Skin Lesion Segmentation: Multipath Fusion Model with Fusion Loss
π Computational and Mathematical Methods in Medicine
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Published: July 29, 2022
π DOI: 10.1155/2022/2157322
πΉ Development of an IoT-Based Rumen Health Monitoring Prototype for Cattle Using Fuzzy Logic Controllers
π Gazi Journal of Engineering Sciences
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Published: May 5, 2022
π DOI: 10.30855/gmbd.2022.01.13