Inayet burcu Toprak | Manufacturing simulation | Best Researcher Award

Dr. Inayet burcu Boprak | Manufacturing simulation | Best Researcher Award

Lecturer PhD at akdeniz university Turkey

Dr. İnayet Burcu Toprak is a passionate mechanical engineer and academic at Akdeniz University, specializing in advanced manufacturing and automation technologies. 🛠️✨ Her innovative research focuses on enhancing production techniques, particularly through additive manufacturing and powder metallurgy. She skillfully applies optimization strategies like the Taguchi method and multi-objective optimization to improve material characteristics such as tensile strength and precision. 📊🔍 Dr. Toprak also explores cutting-edge ultrasonic atomization to create high-quality metal powders, pushing forward the frontiers of 3D printing and aerospace engineering. 🚀🔧 Dedicated to sustainable and intelligent manufacturing, she bridges theoretical knowledge with practical applications to foster eco-friendly industrial growth. 🌱⚙️ As an active contributor in international scientific forums, she collaborates globally to advance automation and material science. Her work continues to inspire innovation in mechanical engineering, blending creativity with technology for a smarter, greener future. 🌍💡

Professional Profile

Education

Dr. İnayet Burcu Toprak pursued her academic journey in mechanical engineering, culminating in a Ph.D. from Akdeniz University in Antalya, Turkey. Her rigorous training laid the foundation for her expertise in advanced manufacturing and automation technologies. This academic background has been instrumental in her subsequent research and professional endeavors.

Professional Experience

Dr. Toprak has been serving as a faculty member at Akdeniz University’s Technical Sciences Vocational School, Department of Electronics and Automation, since 2002. In her role, she imparts knowledge on control and automation technologies, blending theoretical concepts with practical applications. Her extensive teaching experience underscores her commitment to nurturing the next generation of engineers.

Research Interests

Dr. Toprak’s research is centered on optimizing manufacturing processes, with a particular focus on additive manufacturing and powder metallurgy. She employs advanced methodologies like the Taguchi approach and multi-objective optimization to enhance material properties such as tensile strength and dimensional accuracy. Additionally, her exploration into ultrasonic atomization techniques aims to innovate metal powder production, advancing 3D printing and aerospace applications.

Awards and Honors

While specific awards and honors for Dr. Toprak are not publicly detailed, her contributions to the field are evident through her active participation in international scientific conferences and collaborations. Her work continues to influence the fields of automation, material science, and mechanical engineering, reflecting the recognition she has garnered within the academic community.

Publications Top Notes

1. Automatic recognition of Parkinson’s disease from sustained phonation tests using ANN and adaptive neuro-fuzzy classifier

Authors: MF Çağlar, B Çetişli, İB Toprak

Year: 2010

Citation: 89

Source: Mühendislik Bilimleri ve Tasarım Dergisi 1 (2), 59-64

2. EEG sinyallerinin dalgacık dönüşümü ve yapay sinir ağları ile analizi

Authors: İB Toprak

Year: 2007

Citation: 16

Source: Fen Bilimleri Enstitüsü

3. Ti-6Al-4V Süper Alaşiminin Yüksek Basinçli Soğutma Kullanilarak Frezelenmesinde Yüzey Pürüzlülüğünün Taguchi Yöntemi ile Optimizasyonu

Authors: İB Toprak, MF Çağlar, O Çolak, K Kıran, M Bayhan

Year: 2012

Citation: 6

Source: SDU International Technologic Science 4 (2), 30-39

4. Optimization of Surface Roughness by Using Taguchi Method in Milling of Ti-6Al-4 V Super-Alloy at High-Pressure Cooling Conditions

Authors: İB Toprak, MF Çağlar, O Çolak, K Kıran, M Bayhan

Year: 2012

Citation: 4

Source: Uluslararası Teknolojik Bilimler Dergisi 4 (2), 30-39

5. Ayrık dalgacık dönüşümü ve yapay sinir ağları kullanarak EEG sinyallerinden otomatik epilepsi teşhisi

Authors: İB Toprak, MF Çağlar, M Merdan

Year: 2007

Citation: 4

Source: IEEE 15, 11-13

6. Meslek yüksekokullarında akademik başarıya etki eden faktörler: Akdeniz Üniversitesi Teknik Bilimler Meslek Yüksekokulu örneği

Authors: İB Toprak, N Doğdu, M Öztürk

Year: 2017

Citation: 3

Source: Çankırı Karatekin Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 8 (1), 150-163

7. Multi-Objective Optimization Study on Production of AlSi10Mg Alloy by Laser Powder Bed Fusion

Authors: İB Toprak, N Dogdu

Year: 2024

Citation: 2

Source: Applied Sciences 14 (22), 10584

DOI: 10.3390/app142210584

8. Automatic Recognition of Epilepsy from EEG using Artificial Neural Network and Discrete Wavelet Transform

Authors: İB Toprak, MF Çağlar, M Merdan

Year: 2007

Citation: 2

Source: 2007 IEEE 15th Signal Processing and Communications Applications, 1-4

9. Optimization of tensile strength of AlSi10Mg material in the powder bed fusion process using the Taguchi method

Authors: İB Toprak, N Doğdu

Year: 2024

Citation: 1

Source: Scientific Reports 14, 1-9

10. Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches

Authors: İB Toprak

Year: 2025

Source: Scientific Reports 15 (1), 1-9

DOI: 10.1038/s41598-025-03307-x

11. Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum

Authors: İB Toprak, N Dogdu, MU Salamci

Year: 2025

Source: Applied Sciences 15 (10), 5485

DOI: 10.3390/app15105485

Conclusion

Dr. İnayet Burcu Toprak stands as a dedicated academic and researcher in the realm of mechanical engineering. Her commitment to advancing manufacturing technologies and her active engagement in the scientific community underscore her pivotal role in shaping the future of engineering practices. Through her work, she continues to inspire innovation and excellence in the field.

Prof Dr. Ryspek Usubamatov | Manufacturing Engineering | Excellence in Research

Prof Dr. Ryspek Usubamatov | Manufacturing Engineering | Excellence in Research

Prof Dr. Ryspek Usubamatov, Kyrgyz State Technical University after I. Razzakov, Kyrgyzstan

Dr. Ryspek Usubamatov, a prominent figure in mechanical and manufacturing engineering, earned his degree from Bauman Moscow State Technical University and later achieved a Ph.D. and Dr. Tech. Sc. degree from the Kyrgyzstan Academy of Sciences. With a research focus on productivity theory, gyroscopic effects, and automation, Dr. Usubamatov has authored over 400 papers, 8 books, and holds 60 patents. His influential works include “Productivity Theory for Industrial Engineering” and “Theory of Gyroscopic Effects for Rotating Objects.” Honored with bronze and silver medals at the ITEX in Malaysia and the Order of Merit at the WIAF in Korea, he is a renowned keynote speaker and an active member of international scientific communities, contributing to various editorial boards and conferences globally.

Professional Profile:

Orcid

🎓 Education:

Dr. Ryspek Usubamatov earned his degree in Mechanical and Manufacturing Engineering from Bauman Moscow State Technical University in 1966, followed by a Ph.D. in 1972. He later obtained a Dr. Tech. Sc. degree from the Kyrgyzstan Academy of Sciences.

🔬 Research Interests:

His research encompasses productivity theory, gyroscopic effects, and automation. He has published over 400 research papers, 8 books, and 60 patents, with notable works including “Productivity Theory for Industrial Engineering” and “Theory of Gyroscopic Effects for Rotating Objects.”

🏅 Awards and Honors:

Dr. Usubamatov has received multiple accolades, including bronze and silver medals at the International Exhibitions in Malaysia (ITEX) and the Order of Merit at the World Inventor Award Festival (WIAF) in Korea. He is a distinguished keynote speaker at international conferences and a member of several editorial boards and scientific associations.

🌍 Professional Activities:

He is actively involved in international scientific communities, serving on editorial boards for multiple journals and receiving invitations to speak at major conferences worldwide.

Publication Top Notes:

  • Title: Optimization of Machining for the Maximal Productivity Rate of the Drilling Operations
    • Year: 2024
  • Title: Maximal Productivity Rate of Threading Machine Operations
    • Year: 2024
  • Title: Optimization of the Face Milling Operations by the Criterion of the Maximal Productivity Rate
    • Year: 2024
  • Title: Theory of Gyroscopic Effects for Rotating Objects
    • Year: 2022
  • Title: Optimization of Machining by the Milling Cutter
    • Year: 2022