Mr Ali Bilen | Quality Prediction in Industrial Production | Best Researcher Award

Research Associate, Karlsruhe Institute of Technology, Côte d’Ivoire

Ali Bilen is a dedicated mechanical engineer and researcher specializing in quality control in micro-manufacturing. With a Master’s and Bachelor’s degree in Mechanical Engineering from the Karlsruhe Institute of Technology (KIT), Ali has accumulated a wealth of experience in academia, research, and industry. Currently, he serves as a Research Associate and PhD Candidate at the wbk Institute of Production Science. His work focuses on advanced quality control loops and their applications in manufacturing processes. Ali has collaborated with prominent companies like Carl Zeiss AG, Robert Bosch GmbH, and Audi AG, contributing to innovative solutions in process development and engineering. His passion for teaching is evident through his freelance lecturing roles in engineering mathematics and IT training. With several notable publications and contributions to conferences, Ali Bilen continues to make impactful strides in engineering research and education.

PROFESSIONAL PROFILE

Scopus

STRENGTHS FOR THE AWARD

Strong Educational Background:
Ali Bilen has an exemplary academic record, with both bachelor’s and master’s degrees in Mechanical Engineering from the prestigious Karlsruhe Institute of Technology. These credentials provide a solid foundation for his research in production science and micro-manufacturing quality control.
Diverse Professional Experience:
His career spans roles in academia, consultancy, and industry. As a research associate and Ph.D. candidate at the wbk – Institute of Production Science, he actively manages multiple research projects, demonstrating leadership and interdisciplinary collaboration. His work in industry, including companies like Carl Zeiss AG, Bosch, and Audi, showcases his ability to apply theoretical knowledge to real-world challenges.
Focus on Quality Control and Advanced Technologies:
Ali’s research on quality control in micro-manufacturing and innovative algorithms for closed-loop systems is cutting-edge and impactful. His publications, such as “Quality Control Loop for Tool Wear Compensation in Milling Process”, highlight his expertise in optimization methods and autonomous control loops.
Publication Record and Collaborative Efforts:
With multiple publications in conference proceedings and journals, Ali has made significant contributions to production engineering. His interdisciplinary collaborations with other researchers and industry professionals further underscore his impact.
Technical and Teaching Skills:
His roles as a freelance lecturer and assistant scientist demonstrate excellent communication and mentoring skills, making him an asset to academic and industrial research environments.

AREAS FOR IMPROVEMENT

Broader Citation Impact:
While Ali has four publications, the citation count and h-index are currently modest. Increasing the visibility of his research through collaborations or conferences could enhance his academic reputation.
Grant Acquisition and Leadership:
Although he is involved in various projects, securing independent research funding or leading high-profile grants could further establish his position as a leading researcher.
Diversification of Research Topics:
Expanding his focus beyond micro-manufacturing quality control to address broader challenges in mechanical or production engineering could enhance his versatility and impact.

EDUCATION

🎓 Master’s in Mechanical Engineering (10/2019 – 01/2022)
Karlsruhe Institute of Technology (KIT), Germany – Degree: Master of Science.

🎓 Bachelor’s in Mechanical Engineering (10/2015 – 10/2019)
Karlsruhe Institute of Technology (KIT), Germany – Degree: Bachelor of Science.

🎓 Abitur (09/2007 – 06/2015)
Theodor-Heuss-Gymnasium, Mühlacker, Germany – Comprehensive secondary education emphasizing STEM disciplines.

EXPERIENCE

🛠️ Research Associate and PhD Candidate (Since 08/2022)
wbk Institute of Production Science – Leading projects on quality control in micro-manufacturing.

📚 Freelance Lecturer (Since 04/2019)
Teaching engineering mathematics, IT courses, and job application coaching.

💻 Consultant – Software Engineering (04/2022 – 07/2022)
Focused on Java backend development and AWS cloud deployment.

🔬 Cooperative Master Thesis (07/2021 – 01/2022)
Carl Zeiss AG – Developed a feature-based quality control loop in Python.

🔧 Working Student – Robert Bosch GmbH (07/2021 – 12/2021)
Supported process development and automation in simulation evaluations.

AWARDS AND HONORS

🏆 Research Publications Recognitions
Cited by peers in the field for contributions to quality control loops and engineering.

🏅 Academic Excellence
Graduated with distinction from KIT’s mechanical engineering programs.

📖 Publication Contributions
Acknowledged for advancing quality data models and in-process monitoring techniques.

🌟 Industry Collaborations
Awarded for impactful projects with Bosch, Audi, and Carl Zeiss AG.

RESEARCH FOCUS

🔍 Quality Control in Micro-Manufacturing
Innovative solutions to ensure precision in production.

📊 Optimization Algorithms
Utilization of AI and machine learning to enhance manufacturing processes.

📐 Data Modeling
Development of standardized data models for autonomous quality control.

⚙️ In-Process Monitoring
Application of acoustic emission sensors and machine learning in hobbing processes.

PUBLICATION TOP NOTES

📜 Quality Control Loop for Tool Wear Compensation in Milling Process using Different Optimization Methods
📘 A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
📊 In-Process Monitoring of Hobbing Process Using an Acoustic Emission Sensor and Supervised Machine Learning
📗 A Development Approach for a Standardized Quality Data Model Using Asset Administration Shell Technology

CONCLUSION

Ali Bilen is an outstanding candidate for the Best Researcher Award, given his robust academic background, diverse professional experience, and focus on advanced manufacturing technologies. His strengths in interdisciplinary research and collaboration position him as a leader in his field. Addressing the areas for improvement, such as increasing citation impact and securing independent funding, could elevate his contributions to the next level. Overall, Ali’s potential and achievements make him a strong contender for this prestigious recognition.

Ankit Dilipkumar Oza - Manufacturing - Best Researcher Award

Parul University - India

AUTHOR PROFILE

SCOPUS

🛠️ EXPERTISE IN MICRO-MACHINING AND SPARK MACHINING

Ankit Dilipkumar Oza holds a Ph.D. in micro-machining, specializing in spark-assisted electrochemical discharge machining (TW-ECDM) processes. His extensive experience in micro-machining non-conducting materials, particularly Quartz, has made him a key figure in this advanced manufacturing domain. His expertise also includes operating sophisticated analytical instruments such as SEM, EDX, XRD, and TEM, which are crucial for analyzing microstructures and machining precision.

⚙️ INNOVATIVE TW-ECDM TECHNIQUES AND SETUP DEVELOPMENT

During his Ph.D. research, Ankit focused on improving the Traveling Wire-Electrochemical Discharge Machining (TW-ECDM) process to minimize the challenges in machining Quartz, a non-conducting material. His research led to the development of two experimental setups and a Micro-ECDM setup integrated into an existing EDM system, marking significant progress in the field of non-conducting material machining. His innovative approaches in coating wires, optimizing electrolytes, and employing Magnetohydrodynamic (MHD) convection have advanced machining capabilities.

📐 DESIGN AND MODELING EXPERTISE

Ankit possesses a deep understanding of designing and modeling experimental setups for advanced machining processes. His knowledge extends to the design of experiments and statistical analysis, ensuring precision and efficiency in complex machining operations. His contributions have been pivotal in improving machining performance, especially in reducing electrolyte wastage and enhancing electrolysis in the TW-ECDM process.

🔬 RESEARCH IN QUARTZ MICRO-MACHINING

The core of Ankit’s Ph.D. research revolves around overcoming the difficulties in machining Quartz materials. By using innovative techniques, his work has significantly improved the performance of machining processes for non-conducting materials, setting new standards in the field. His research contributes to the advancement of micro-machining technology, making it more efficient and sustainable.

🏗️ POSTGRADUATE PROJECT IN GRAVITY DIE CASTING

In addition to his work in micro-machining, Ankit developed a novel hybrid gravity die casting process during his postgraduate studies. Using PRO-CAST, a FEM-based simulation software, he optimized metal flow, temperature variations, and solidification, resulting in a more efficient and defect-reduced process. His work contributed to reducing common casting issues like shrinkage porosities and cold shuts, improving the overall quality of gravity die casting.

🚀 EXPERIENCE IN INDUSTRIAL RESEARCH AND DEVELOPMENT

Ankit's industrial project at Mehtex Engineering Pvt. Ltd. in Ahmedabad exemplifies his ability to bridge academic research with practical applications. His work on optimizing gravity die casting processes showcases his skills in applying theoretical knowledge to real-world industrial challenges, bringing innovation to manufacturing techniques.

🔧 FAST-LEARNING AND ADAPTIVE RESEARCHER

Known for his enthusiasm, adaptability, and quick learning, Ankit has proven his capability to manage challenging research work in complex and highly demanding environments. His contributions to the field of micro-machining are marked by his innovative thinking and ability to drive progress in both academic and industrial settings.

NOTABLE PUBLICATION

Title: Integrating intelligent machine vision techniques to advance precision manufacturing: a comprehensive survey in the context of mechatronics and beyond
Authors: D.R. Patel, A.D. Oza, M. Kumar
Journal: International Journal on Interactive Design and Manufacturing
Year: 2024

Title: Development and characterization of eco-friendly extruded green composites using PLA/wood dust fillers
Authors: H.H. Parikh, S. Chokshi, V. Chaudhary, A.D. Oza, C. Prakash
Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
Year: 2024

Title: Divacancy defects on the dynamic behaviour of single layer graphene
Authors: M. Manisha, A. Patel, A. Oza, A. Goyal
Journal: AIP Conference Proceedings
Year: 2024

Title: Photoluminescence and antibacterial performance of sol-gel synthesized ZnO nanoparticles
Authors: M.S. Rathore, H. Verma, S.B. Akhani, K. Kaur, A. Oza
Journal: Materials Advances
Year: 2024

Title: A Review of Optimization Methods in Laser and Abrasive Jet Manufacturing Methods
Authors: A. Goyal, N. Gautam, A.D. Oza, R. Choudhary, R.K. Phanden
Journal: Lecture Notes in Mechanical Engineering
Year: 2024

Ali Bilen | Quality Prediction in Industrial Production | Best Researcher Award