Bulent Koc | Digital Lean System | Best Researcher Award

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Dr. Bulent Koc | Digital Lean System | Best Researcher Award

Researcher | Istanbul Technical University | Turkey

Dr. Bulent Koc is a Ph.D. candidate in Textile Engineering at Istanbul Technical University with more than two decades of experience in the apparel and textile industry. His expertise lies in integrating lean production principles with digital transformation strategies to enhance efficiency and sustainability in garment manufacturing. Throughout his career, he has worked in diverse roles, from production planning and product management to certification and digital productivity systems. His current research focuses on designing sustainable digital lean models for ready-made garment enterprises, particularly in labor-intensive sewing operations. He has collaborated with multiple organizations, implementing projects on workflow optimization, efficiency enhancement, and the use of real-time Process Monitoring Devices (PMDs). By bridging academic research with industrial applications, Koc contributes significantly to advancing operational excellence and competitiveness in the textile and apparel sector. His work underscores the potential of digital lean transformation as a sustainable solution for future manufacturing systems.

Professional Profile

Scopus

Education

Dr. Bulent Koc pursued his academic journey entirely at Istanbul Technical University, specializing in Textile Engineering. He earned his B.Sc. in Textile Engineering, where he built a foundation in fabric production, apparel processes, and material technology. He then completed his M.Sc. in Textile Engineering, focusing on production management and optimization in knitted garment manufacturing. His master’s thesis explored methods to enhance efficiency, cost-effectiveness, and lean principles in textile production environments. Currently, he is a Ph.D. candidate in the same department, expected to complete. His doctoral research centers on lean production and the development of sustainable digital lean models tailored for the ready-made garment industry. This work combines advanced lean management techniques with Industry, including real-time production monitoring, digital line balancing, and sustainability frameworks. Through this academic progression, Koc has developed a strong balance of theoretical knowledge and practical industrial insights in textile engineering.

Experience

Dr. Bulent Koc has built extensive professional experience in textile and apparel manufacturing since. He began as Production Planning Manager at Serfil Yarn and Fabric Factory, where he led efficiency projects and factory setup operations. Later, as Product Group Leader at Tars International Trade Ltd., he managed men’s wear collections and coordinated procurement. At Koton Mensucat, he advanced as a Product Manager, overseeing procurement and R&D in fabric development. he worked at Certurk Certification and Inspection Services, managing professional qualification certifications and training in textiles. His latest role was as Productivity Management Specialist at ITM Techsoft, where he developed digital lean systems, real-time data integration, and line balancing algorithms. Across his career, Koc has successfully combined lean manufacturing principles with technology-driven innovations. His projects consistently targeted productivity, sustainability, and competitiveness, making him a key contributor to both industry practices and applied textile engineering research.

Research Focus

Dr. Bulent Kocs research is centered on the integration of lean production systems with digital transformation in apparel manufacturing. His work focuses particularly on labor-intensive sewing operations, where workflow optimization and productivity are critical. He explores how real-time Process Monitoring Devices (PMDs) can track lean metrics, improve line balancing, and reduce inefficiencies. By combining lean principles with Industry such as digital data management and automation, his research offers scalable frameworks for sustainable production. He also examines the role of digital lean models in enhancing overall equipment effectiveness (OEE), minimizing waste, and promoting eco-friendly manufacturing practices. Field-based studies conducted in collaboration with Turkish textile companies validate his approaches and demonstrate measurable improvements in efficiency and sustainability. Kocs research bridges theory and practice, offering both academic contributions and real-world industrial solutions. His goal is to transform digital lean systems into a long-term driver of competitiveness in the apparel sector.

Awards and Honors

Throughout his career, Bulent Koc has been recognized for his contributions to lean manufacturing and digital transformation in apparel production. His applied research has been acknowledged at academic and industrial platforms, particularly in the field of textile engineering innovation. He has collaborated on projects supported, which emphasize efficiency, sustainability, and competitiveness in textile SMEs. His industry-driven lean transformation projects were recognized for advancing operational excellence, including notable work in digital line balancing and real-time production monitoring. He has been invited to share his expertise at professional seminars and academic discussions on lean systems in apparel manufacturing. In addition, his involvement in mechanics-related awards and conferences reflects his interdisciplinary contributions to engineering-focused production methodologies. These honors highlight his role as a bridge between academic research and industrial practice, reinforcing his reputation as an innovator in digital lean textile systems.

Publication Top Notes

Conclusion

Dr. Bulent Koc demonstrates potential as a researcher in lean production systems and digital transformation in apparel manufacturing, with a strong practical background and research focus. His industry projects and contributions to operational excellence are notable, and his research has the potential to make a significant impact in the industry. With further development of his publication record and international collaboration, he could become a strong candidate for the Best Researcher Award.

Assoc. Prof. Dr. Nasrollah Bani Mostafa Arab | manufacturing processes | Best Faculty Award

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Assoc. Prof. Dr. Nasrollah Bani Mostafa Arab | manufacturing processes | Best Faculty Award

 Assoc.Prof. at  Shahid Rajaee Teacher Training University , Iran.

Nasrollah Bani Mostafa Arab is an esteemed Associate Professor at the Faculty of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran 📚. With over 30 years of teaching experience and a strong research background in welding processes, manufacturing processes, and composite materials, he has established himself as a leading expert in his field 🔩.

Professional Profile

scholar

🎓 Education

– *PhD in Mechanical Engineering*: IIT Delhi, India (1993) 🎓– M.Tech. in Mechanical Engineering (Production): B.H.U., India (1988) 🎓– B.E. in Mechanical Engineering: R.E.C., Srinagar, India (1985) 🎓

💼 Experience

– *Associate Professor*: Faculty of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran 📚– *Teaching Experience*: Over 30 years of experience in teaching mechanical engineering courses 📚– *Research Experience*: Extensive research experience in welding processes, manufacturing processes, and composite materials

🔬 Research Interests

Nasrollah Bani Mostafa Arab’s research focuses on welding processes, manufacturing processes, and composite materials 🔩. His work involves investigating the properties and applications of various materials and developing new manufacturing techniques.

🏅 Awards

– *Published over 60 journal and conference papers*: Demonstrating his expertise and contributions to the field of mechanical engineering 📄– *Translated book*: “Advanced machining processes” from English to Persian 📚– *Authored book*: “Technical English for students of production and manufactur

📚Top Noted  Publications

1. Effects of friction stir welding process parameters on appearance and strength of polypropylene composite welds 📄
GH Payganeh, NBM Arab, YD Asl, FA Ghasemi, MS Boroujeni
Int. J. Phys. Sci 6 (19), 4595-4601, 2011

2. Optimization of process parameters for friction stir lap welding of carbon fibre reinforced thermoplastic composites by Taguchi method 📊
H Ahmadi, NB Mostafa Arab, FA Ghasemi
Journal of Mechanical Science and Technology 28, 279-284, 2014

3. Optimization of welding parameters for weld penetration in FCAW 🔩
NB Mostafa, MN Khajavi
Journal of achievements in materials and manufacturing engineering 16 (1-2), 2006

4. Influence of pin profile on quality of friction stir lap welds in carbon fiber reinforced polypropylene composite 🔍
H Ahmadi, NBM Arab, FA Ghasemi, RE Farsani
International Journal of Mechanics and Applications 2 (3), 24-28, 2012

5. Effects of drilling parameters on delamination of glass-epoxy composites 🌀
FA Ghasemi, A Hyvadi, G Payganeh, NBM Arab
Australian Journal of Basic and Applied Sciences 5 (12), 1433-1440, 2011

6. Mechanical and metallurgical properties of pulsed neodymium-doped yttrium aluminum garnet laser welding of dual phase steels 🔩
M Hazratinezhad, NBM Arab, AR Sufizadeh, MJ Torkamany
Materials & Design 33, 83-87, 2012

7. The systematic parameter optimization in the Nd: YAG laser beam welding of Inconel 625 🔍
MR Jelokhani-Niaraki, N B. Mostafa Arab, H Naffakh-Moosavy, …
The International Journal of Advanced Manufacturing Technology 84, 2537-2546, 2016

8. Application of response surface methodology for weld strength prediction in laser welding of polypropylene/clay nanocomposite 📊
MR Nakhaei, NB Mostafa Arab, G Naderi
Iranian Polymer Journal 22, 351-360, 2013

9. Numerical and experimental investigation of defects formation during friction stir processing on AZ91 🔍
H Agha Amini Fashami, N Bani Mostafa Arab, M Hoseinpour Gollo, …
SN Applied Sciences 3, 1-13, 2021

10. Experimental study on optimization of CO2 laser welding parameters for polypropylene-clay nanocomposite welds 🔩
MR Nakhaei, NB Mostafa Arab, G Naderi, M Hoseinpour Gollo
Journal of Mechanical Science and Technology 27, 843-848, 2013

 

Conclusion

Dr. Nasrollah Bani Mostafa Arab’s research experience, publication record, teaching experience, and book publications make him a strong candidate for the Best Researcher Award. With some further emphasis on international collaboration and interdisciplinary research, Dr. Arab could further solidify his position as a leading researcher in his field.

Dr. Edward Reutzel | Additive Manufacturing Process Planning | Best Researcher Award

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Dr. Edward Reutzel | Additive Manufacturing Process Planning | Best Researcher Award 

Research Professor, Penn State University, Applied Research Laboratory, United States

Edward W. (Ted) Reutzel is a renowned expert in additive manufacturing and materials processing. As the Director of the Center for Innovative Material Processing thru Direct Digital Deposition at Pennsylvania State University, Reutzel leads cutting-edge research in additive manufacturing. With a strong background in mechanical engineering, Reutzel has made significant contributions to the development of innovative materials processing techniques. Their research has far-reaching implications for industries such as aerospace, healthcare, and energy.

Profile

Orcid

🎓 Education

Reutzel holds a Ph.D. in Mechanical Engineering from Pennsylvania State University (2007), an M.S. in Mechanical Engineering from the Georgia Institute of Technology (1993), and a B.S. in Mechanical Engineering from Pennsylvania State University (1991). Their educational background has provided a solid foundation in mechanical engineering principles and prepared them for a career in research and development.

👨‍🔬 Experience

Reutzel has held various positions, including Director of the Center for Innovative Material Processing thru Direct Digital Deposition, Associate Research Professor at ARL Penn State, and Graduate Faculty in the Mechanical Engineering Department and Additive Manufacturing and Design Program at Penn State. With over two decades of experience in research and development, Reutzel has demonstrated expertise in additive manufacturing, materials processing, and laser systems engineering.

🔍 Research Interest

Reutzel’s research focuses on additive manufacturing, materials processing, and laser systems engineering. Their work explores innovative techniques for direct digital deposition, process monitoring, and defect detection in additive manufacturing. With applications in industries such as aerospace and healthcare, Reutzel’s research has the potential to transform manufacturing processes and improve product quality.

Awards and Honors 🏆

Although specific awards and honors are not detailed in the provided information, Reutzel’s research achievements and leadership roles suggest a high level of recognition within the field of additive manufacturing. Their certification and involvement in various research projects demonstrate a commitment to excellence and a strong reputation among peers.

📚 Publications

 

1. Automated defect recognition for additive manufactured parts using machine perception and visual saliency 🤖
2. IN SITU LASER ULTRASOUND-BASED RAYLEIGH WAVE PROCESS MONITORING OF DED-AM METALS 💡
3. Multi-spectral method for detection of anomalies during powder bed fusion additive manufacturing 🔍
4. Effect of interlayer temperature on meltpool morphology in laser powder bed fusion 🔥
5. Multi-modal sensor fusion with machine learning for data-driven process monitoring for additive manufacturing 📊
6. Electro-strengthening of the additively manufactured Ti–6Al–4V alloy 💪
7. Effect of processing conditions on the microstructure, porosity, and mechanical properties of Ti-6Al-4V repair fabricated by directed energy deposition 🔩
8. Formation processes for large ejecta and interactions with melt pool formation in powder bed fusion additive manufacturing 🌐
9. Multi-sensor investigations of optical emissions and their relations to directed energy deposition processes and quality 🔎
10. Design and evaluation of an additively manufactured aircraft heat exchanger ❄️

Conclusion

Edward W. (Ted) Reutzel is an outstanding researcher with a strong background in additive manufacturing and mechanical engineering. Their extensive research experience, leadership roles, and prolific publication record make them an excellent candidate for the Best Researcher Award. While there are areas for improvement, Reutzel’s research achievements and potential for future impact make them a compelling candidate for this award.

Dr. Jiyin Tang | Reliability | Best Researcher Award

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Dr. Jiyin Tang | Reliability | Best Researcher Award

Associate Professor, Southwest Jiaotong university, China

Tang Jiayin is an Associate Professor and Doctoral Supervisor at Southwest Jiaotong University. With a strong background in probability theory and mathematical statistics, Tang has made significant contributions to the fields of reliability statistics, statistical analysis, risk assessment, and statistical machine learning. As a council member of several prestigious academic organizations, including the China Society for Field Statistics and the China Statistical Education Society, Tang plays an active role in promoting statistical research and education. With over 30 research projects and approximately 60 academic papers under their belt, Tang’s work has had a profound impact on the field of statistics and reliability engineering.

Profile

Orcid

🎓 Education

Tang Jiayin holds a Master’s degree in Probability Theory and Mathematical Statistics from Southwest Jiaotong University (2005) and a Ph.D. in System Reliability Statistics from the same university (2011). During their academic journey, Tang also had the opportunity to be a visiting scholar at the Department of Statistics, University of Georgia, USA (2015-2016). This diverse educational background has equipped Tang with a solid foundation in statistical theory and its applications.

👨‍🔬 Experience

As an esteemed academic, Tang Jiayin has held various professional appointments, including Director of the Department of Statistics at Southwest Jiaotong University and Deputy Director of the Professional Committee on Reliability and Quality Management of Electronic Products. With experience in presiding over and participating in numerous research projects, Tang has demonstrated exceptional leadership and research capabilities. Their work has been recognized through several talent titles, including “后备人选” (Reserve Candidate) for the 13th Batch of Academic and Technical Leaders in Sichuan Province and Overseas High-Level Talent in Sichuan Province.

🔍 Research Interest

Tang Jiayin’s research focuses on reliability statistics, statistical analysis of variable correlation, risk assessment, statistical machine learning, and reliability engineering. With a passion for exploring the applications of statistical theory, Tang has made significant contributions to the development of reliability statistics and statistical machine learning. Their research has far-reaching implications for fields such as engineering, economics, and finance.

Awards and Honors 🏆

Tang Jiayin’s outstanding contributions to statistical research and education have earned them numerous accolades. As a council member of several prominent academic organizations and a recipient of talent titles, Tang’s work has been recognized for its impact and significance. With a strong publication record, including 2 monographs and 1 textbook, Tang’s research has been widely disseminated and appreciated.

📚 Publications

Multi-Performance Degradation System Reliability Analysis with Varying Failure Threshold Based on Copulas

 

Conclusion

Tang Jiayin’s impressive research record, leadership roles, and professional appointments make them an excellent candidate for the Best Researcher Award. Their contributions to reliability statistics, statistical analysis, and risk assessment have significant implications for various fields. With some potential areas for improvement, Tang Jiayin is well-positioned to continue making impactful research contributions and solidifying their reputation as a leading researcher in their field.

Hao Luo | Measurement | Best Researcher Award

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Mr. Hao Luo | Measurement | Best Researcher Award

Associate Professor, TianJin university, China

Hao Luo is an Associate Professor at Tianjin University, specializing in high-speed optical fiber communication, all-optical signal processing, and photonic microwave technology. 📡🔬 With extensive contributions to optoelectronic oscillators and high-precision micro-displacement measurement, his work enhances optical and microwave system performance. 📊📡 He has published numerous papers in Optics Express, IEEE Photonics Technology Letters, and other prestigious journals. 🏆📖 His research supports advancements in next-generation telecommunication and high-frequency signal processing. 🚀🔍 As an active contributor to photonics and optical engineering, he continues to shape the field with innovative methodologies and applied technologies. 💡🔧

Profile

Orcid

🎓 Education:

📚 PhD in Optical Communication Engineering – Tianjin University 🏛️Master’s in Electrical Engineering – Tianjin University ⚙️Bachelor’s in Telecommunications Engineering – Tianjin University 🎓

👨‍🏫 Experience:

Associate Professor, Tianjin University (Present)  Senior Researcher in High-Speed Optical Fiber Communication Optoelectronic Oscillator Specialist – Applied Microwave & Optical Engineering  Industry Collaborator in Advanced Photonics & Signal Processing Mentor & Advisor for Graduate Research in Photonic Systems 📖🎓

🏅 Awards & Honors:

🏆 Best Paper Award – Optics Express Outstanding Research Contribution in Microwave Photonics Invited Speaker at International Photonics Conferences 🎤🌍Recognized for Excellence in High-Precision Optical Sensing 🔬🏆

🔬 Research Focus:

High-speed Optical Fiber Communication 📡📶 All-optical Signal Processing with Nonlinear Effects 💡 Photonic Microwave Frequency Synthesis 📊📡 High-precision Micro-displacement Measurement Next-gen Optical Sensing & Telecommunication Technologies 🚀📡

Publications

Multi-Wavelength Narrow-Spacing Laser Frequency Stabilization Technology Based on Fabry-Perot Etalon

📅 Publication Date: 2024-10-18

📖 Journal: Micromachines

🔗 DOI: 10.3390/mi15101269

👨‍🔬 Contributors: Ju Wang, Ye Gao, Jinlong Yu, Hao Luo, Xuemin Su, Shiyu Zhang, Ruize Zhang, Chuang Ma

📝 Summary:

 

Proposes a Fabry-Perot Etalon-based stabilization method for multi-wavelength lasers with narrow spacing.

Enhances the frequency stability of laser sources for high-precision optical communication and microwave photonic applications.

Offers practical improvements for laser frequency locking and optical coherence control.

2️⃣ A Practicable Optoelectronic Oscillator with Ultra-Low Phase Noise

📅 Publication Date: 2024-06-28

📖 Journal: Photonics

🔗 DOI: 10.3390/photonics11070614

👨‍🔬 Contributors: Ziyue Zheng, Jinlong Yu, Ju Wang, Chuang Ma, Hao Luo, Xuemin Su, Ye Gao

📝 Summary:

 

Develops an optoelectronic oscillator (OEO) with ultra-low phase noise for microwave photonic systems.

Utilizes advanced filtering techniques to suppress noise and enhance frequency stability.

Applicable for precision radar, satellite communications, and next-gen telecommunication networks.

3️⃣ Simplified 1.5 μm Distributed Feedback Semiconductor Laser (DFB-LD) Frequency Stabilization System Based on Gas Absorption Chamber

📅 Publication Date: 2024-06-28

📖 Journal: Photonics

🔗 DOI: 10.3390/photonics11070621

👨‍🔬 Contributors: Ju Wang, Ye Gao, Jinlong Yu, Ziheng Cai, Hao Luo, Chuang Ma

📝 Summary:

 

Introduces a gas absorption chamber-based method for stabilizing DFB-LD at 1.5 μm wavelength.

Provides enhanced wavelength stability crucial for optical sensing, metrology, and high-speed communication.

Reduces system complexity while maintaining high accuracy and reliability.

4️⃣ Microwave Photonic Frequency Multiplier with Low Phase Noise Based on an Optoelectronic Oscillator

📅 Publication Date: 2024-06-24

📖 Journal: Photonics

🔗 DOI: 10.3390/photonics11070588

👨‍🔬 Contributors: Hao Luo, Jinlong Yu, Ju Wang, Chuang Ma, Xu Han, Xuemin Su, Ye Gao, Shi Jia

📝 Summary:

 

Develops a microwave photonic frequency multiplier based on an optoelectronic oscillator (OEO).

Achieves low phase noise, making it ideal for radar, wireless networks, and precision measurement.

Enhances signal stability and spectral purity compared to traditional electronic multipliers.

5️⃣ High-precision Micro-displacement Sensing Based on an Optical Filter and Optoelectronic Oscillators

📅 Publication Date: 2023-06-05

📖 Journal: Optics Express

🔗 DOI: 10.1364/OE.493068

👨‍🔬 Contributors: Hao Luo, Jinlong Yu, Ju Wang, Chuang Ma, Xu Han, Xuemin Su

📝 Summary:

 

Proposes a high-precision displacement sensing system using optoelectronic oscillators and optical filtering techniques.

Provides sub-micron accuracy for precision engineering, biomedical imaging, and nanotechnology applications.

Demonstrates superior stability and noise reduction for long-term measurements.

6️⃣ High-precision Micro-displacement Measurement Method Based on Alternately Oscillating Optoelectronic Oscillators

📅 Publication Date: 2022-02-14

📖 Journal: Optics Express

🔗 DOI: 10.1364/OE.450812

👨‍🔬 Contributors: Ju Wang, Xuexin Guo, Jinlong Yu, Chuang Ma, Yang Yu, Hao Luo, Lingchao Liu

📝 Summary:

 

Develops a novel micro-displacement measurement system based on alternately oscillating optoelectronic oscillators.

Provides high-resolution displacement detection, essential for nano-positioning and high-precision instrumentation.

Offers superior noise suppression and measurement reliability.

7️⃣ Tunable Microwave Sawtooth Waveform Generation Based on One Single-drive Mach-Zehnder Modulator

📅 Publication Date: Not specified

📖 Journal: Optics Express

🔗 DOI: Not available

👨‍🔬 Contributors: Not specified

📝 Summary:

 

Explores a simplified method for generating tunable microwave sawtooth waveforms.

Uses a single-drive Mach-Zehnder modulator, reducing system complexity and improving efficiency.

Benefits radar signal processing, wireless communication, and advanced photonic circuits.

 

Conclusion

Dr. Hao Luo is a strong contender for the Best Researcher Award due to his exceptional contributions in optical communications, photonic signal processing, and high-precision measurement. His extensive research output, high-impact publications, and innovations in optoelectronics solidify his reputation as a leading scientist. To further strengthen his case, greater engagement in industry collaborations, large-scale projects, and interdisciplinary research would enhance his global impact.

 

Xiangyan Zhang | wafer defect detection | Best Researcher Award

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Dr. Xiangyan Zhang | wafer defect detection | Best Researcher Award

Dr. Beijing University of Posts and Telecommunications , China

Xiangyan Zhang, a Ph.D. student at the School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, has a robust academic background with a Master of Engineering degree from Beijing University of  Science and Technology (2023). His research focuses on wafer defect detection and machine vision, with significant contributions including DMWMNet, a dual-branch multi-level convolutional network achieving high performance in wafer map defect detection. Zhang has published 4 SCI papers, 2 EI conference papers, holds 2 invention patents, and 3 software copyrights. He collaborates with the China Academy of Engineering Physics

 

Professional Profiles:

Orcid

Academic and Professional Background 📚👩‍🎓

In June 2023, I was awarded a Master of Engineering degree from Beijing University of Science and Technology, and in September 2023, I commenced my Ph.D. studies at Beijing University of Posts and Telecommunications. To date, I have published 4 SCI papers, 2 EI conference papers, granted 2 invention patents, and obtained 3 software copyrights.

Research and Innovations 🔬💡

Completed/Ongoing Research Projects 🚀Vision-based robotic grasp detection projectWafer defect detection project

Citation Index 📑

Zhang, X., Jiang, Z., Yang, H., Mo, Y., Zhou, L., Zhang, Y., Li, J., Wei, S. (2024). DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136

✍️Publications Top Note :

Patent Authorization Number: ZL202210817429.4
A six-degree-of-freedom grasping detection algorithm based on semantic segmentation networks.

Patent Application Number: 202310654572.0
A grasping detection network based on RGBD images and semantic segmentation for residual fitting.

Zhang, Xiangyan, et al. (2024): DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136.

Zhang Qinjian†, Zhang Xiangyan†, et al. (2022): TMSCNet: A three-stage multi-branch self-correcting trait estimation network for RGB and depth images of lettuce. Frontiers in Plant Science, 13.

Wu Yalin, Zhang Qinjian, Zhang Xiangyan, et al. (2022):* Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems. Future Generation Computer Systems-the International Journal of Escience, 129: 1-12.

Zhang Wu, Li Haiyuan, Zhang Xiangyan, et al. (2021):* Research progress and development trend of surgical robot and surgical instrument arm. International Journal of Medical Robotics and Computer Assisted Surgery, 17(5).

Zhang Xiangyan, Li Haiyuan, et al. (2021):* Kinematics Analysis and Grasping Simulation of a Humanoid Underactuated Dexterous Hand. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO): 55-60.

Zhang Qinjian, Zhang Xiangyan, Li Haiyuan (2022):* A Grasp Pose Detection Network Based on the DeepLabv3+ Semantic Segmentation Model. International Conference on Intelligent Robotics and Applications (ICIRA): 747-758. (EI)

Dr. Masih Paknejad | precision machining Award | Best Researcher Award

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Dr. Masih Paknejad | precision machining Award | Best Researcher Award

Dr. Masih Paknejad, KSF (Kompetenzzentrum für Spanende Fertigung), Germany

Dr. Masih Paknejad is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Orcid

Google scholar

Work Experience 🛠️

Institute of Advanced Machining (KSF), GermanyTeam Leader, Postdoctoral Research Fellow2023 – PresentMachine Tools Committee ISO/ISIRI TC 39, IranSenior Member, Chief and Technical Editor of Machine Tools Standards2022 – PresentTurbine Engineering and Manufacturing Co. (TUGA), IranExpert Engineer (R&D Department)2019 – 2021Persian Ultrasonic Co., IranCEO, Design and Manufacture of High Power Ultrasonic Transducer2019 – PresentHitec-Machinery Trading Co., IranTechnical Advisor, Supervisor of Test and Calibration of Machine Tools2017 – 2019Semnan University, IranLecturer2018 – 2019Courses: Materials Science and Engineering, Metrology Lab., Machine Tools Workshop, Engineering Drawing, Hydraulics and Hydraulics Lab, Welding WorkshopAmirkabir University of Technology, IranStrength of Material Lab Expert, Metrology Lab Expert, Teacher Assistant2012 – 2018Courses: Nontraditional Manufacturing Processes, Machine Element DesignIslamic Azad University (Saveh Branch), IranLecturer2011 – 2012Courses: Metrology, Production Methods, Nontraditional Manufacturing Processes

Education 🎓

Furtwangen University – KSF Institute
Feb 2022 – Sep 2023Postdoc FellowTitle: Ultras-Short Pulse Laser-Assisted Micro-Grinding of Silicon CeramicsAmirkabir University of TechnologySep 2011 – Nov 2017
Ph.D.Dissertation: Theoretical-Experimental Model of Heat Generation in Ultrasonic Assisted Dry Creep Feed Grinding ProcessFurtwangen University – KSF Institute
Jun 2014– Jan 2015Sabbatical ResearcherAmirkabir University of TechnologySep 2008 – Jul 2011M.Sc.Thesis: Theoretical and Experimental Analysis of Ultrasonic Assisted Indentation Forming of TubeIsfahan University of TechnologySep 2004– Sep 2008B.Sc.Thesis: Design of Centrifugal Chip Lubricant Separator DeviceAwards & Honors 🏆Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of TechnologyComputer Skills 💻Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual

Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

Awards & Honors 🏆

Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of Technology

Computer Skills 💻

Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

📊 Citation Metrics (Google Scholar):

Citations by: All – 87, Since 2019 – 70
h-index: All – 3, Since 2018 – 3
i10 index: All – 3, Since 2018 –3

 

📖 Publications  Top Note :

Investigation of laser-assisted cylindrical grinding of silicon nitride ceramics with controlled damage zone

Journal: Optics & Laser Technology

Date: July 2024

DOI: 10.1016/j.optlastec.2024.110616

Contributors: Esmaeil Ghadiri Zahrani; Masih Paknejad; Ali Zahedi; Bahman Azarhoushang

Laser-assisted surface grinding of innovative superhard SiC-bonded diamond (DSiC) materials

Journal: Ceramics International

Date: February 2024

DOI: 10.1016/j.ceramint.2024.02.323

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Robert Bösinger; Faramarz Hojati

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Journal: The International Journal of Advanced Manufacturing Technology

Date: March 2023

DOI: 10.1007/s00170-022-10793-0

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Date: September 2, 2022

DOI: 10.21203/rs.3.rs-1974605/v1

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Ductile-brittle transition mechanisms in micro-grinding of silicon nitride

Journal: Ceramics International

Date: August 2022

DOI: 10.1016/j.ceramint.2022.08.088

Contributors: Masih Paknejad

Numerical Simulation of Ultrasonic Assisted Indentation Tube Forming

Journal: ADMT Journal

Date: September 2020

DOI: 10.30495/admt.2020.1869462.1124

Contributors: Masih Paknejad

Effects of high power ultrasonic vibration on temperature distribution of workpiece in dry creep feed up grinding

Journal: Ultrasonics Sonochemistry

Date: November 2017

DOI: 10.1016/j.ultsonch.2017.04.029

Contributors: Masih Paknejad

Theoretical and experimental analyses of ultrasonic-assisted indentation forming of tube

Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Date: March 2014

DOI: 10.1177/0954405413501502

Contributors: Masih Paknejad