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

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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. 🚀

Prof. Dr. Liudmyla Tereikovska | Neural Network Applications | Cybersecurity Excellence Award

Prof. Dr. Liudmyla Tereikovska | Neural Network Applications | Cybersecurity Excellence Award

Prof. Dr. Liudmyla Tereikovska , Kyiv National University of Construction and Architecture , Ukraine.

Prof.Dr. Liudmyla Tereikovska, is a distinguished Ukrainian scientist in information technology and cybersecurity. 🎓 She holds a Ph.D. in Technical Sciences and a Doctor of Technical Sciences degree. Currently, she is a Professor at Kyiv National University of Construction and Architecture. 🏛️ Her expertise spans information security, voice signal recognition, biometric authentication, and cybersecurity. 🔐 Passionate about innovation, she has contributed significantly to the field through extensive research and teaching. 📚 With a deep commitment to technological advancement, she continues to inspire future generations in the IT sector. 🚀

Publication Profile

Scopus
Orcid

Education & Experience 📚

✅ MSc in Technological Engineering – State Academy of Light Industry of Ukraine (1997) 🎓
✅ Ph.D. in Technical Science – Kyiv National University of Construction and Architecture (2016) 🎓
✅ Doctor of Technical Sciences (Dr. Eng.) – National Transport University (2023) 🎓
✅ Professor of Information Technology Design & Applied Mathematics (2024) 🎓

👩‍🏫 Professional Experience:

🔹 2023 – Present: Professor, Kyiv National University of Construction and Architecture 🏛️
🔹 2019 – 2023: Associate Professor, Kyiv National University of Construction and Architecture 🏛️
🔹 2019 – 2021: Doctoral Student, Kyiv National University of Construction and Architecture 📖
🔹 2017 – 2019: Associate Professor, Department of Cybersecurity & Computer Engineering 🔐
🔹 2012 – 2016: Postgraduate Student, Kyiv National University of Construction and Architecture 📖
🔹 2010 – 2012: Assistant, Department of Information Technologies 🎓
🔹 2004 – 2010: Assistant, Department of Informatics & Control Systems 💻

Suitability summary

Prof.Dr. Liudmyla Tereikovska, is a highly esteemed researcher in cybersecurity and information technology, making her a strong candidate for the Cybersecurity Excellence Award. With a Doctor of Technical Sciences degree and extensive experience in biometric authentication, facial recognition, and AI-driven cybersecurity solutions, she has significantly contributed to enhancing digital security frameworks. Her research has played a crucial role in developing intelligent security systems, voice signal recognition, and emotion detection, ensuring innovative advancements in critical infrastructure protection. Her dedication to cutting-edge technology has had a profound impact on biometric authentication methods and AI-based cybersecurity solutions.

Professional Development 🚀

Prof.Dr. Liudmyla Tereikovska, has made remarkable strides in the field of cybersecurity and information technology. 🔐 With expertise in voice signal recognition, biometric authentication, and intelligent information security systems, she has contributed extensively to research and education. 📚 As a Professor, she mentors students, shaping the next generation of IT professionals. 💡 Her commitment to technological advancements is reflected in her research on emotion recognition and cyber protection. 🛡️ Dedicated to innovation, she collaborates on international projects and continuously develops advanced cybersecurity solutions. 🌍 Her work significantly impacts the future of digital security and AI-driven authentication. 🤖