Bulent Koc | Digital Lean System | Best Researcher Award

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.

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ¹.

Profile

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🎓 Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

👨‍🔬 Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

🔍 Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions 💨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ¹ ².

Marwa Soliman | Big Data Systems | Best Researcher Award

Ms. Marwa Soliman | Big Data Systems | Best Researcher Award

Senior Research Assistant, Burke Neurological Institute, United States

Marwa Soliman is a driven and accomplished individual pursuing her MCS in Computer Science (Big Data Systems) at Arizona State University. With a strong foundation in computer science and biology, she is passionate about applying her skills to make a positive impact in the field of neuroscience. 🧠

Profile

scholar

Education 🎓

Marwa Soliman is currently pursuing her Master of Computer Science in Big Data Systems at Arizona State University, anticipated to graduate in June 2025. She holds a Bachelor of Arts in Computer Science and Biology from Manhattanville University, graduating Summa Cum Laude with a GPA of 3.91/4.00. 📚

Experience 💼

Marwa Soliman has gained valuable experience as a Senior Research Assistant at the Burke Neurological Institute, Weill Cornell Medicine, since September 2020. She has also worked as a Summer Research Assistant at Manhattanville University and as a Supplemental Instructor and Academic Science and Math Tutor at various institutions. 🧬

Awards and Honors 🏆

Marwa Soliman has received numerous awards and honors, including the Computer Science Department Honors Award, Biology Department Honors Award, Dr. Ruth Paula Alscher Award, Castle Pin Award, Tri-beta Biological Sciences Honors, and Junior Biology Department Award. 🎉

Research Focus 🔍

Marwa Soliman’s research focus lies at the intersection of computer science and neuroscience. She is particularly interested in applying machine learning and data analysis techniques to better understand neurological disorders and develop novel treatments. Her current research involves analyzing high-dimensional biological datasets and developing tools for assessing motion function. 🧠

Publications

1. Analysis of High-Dimensional Biological Datasets using Machine Learning Techniques 📊
2. Development of a Synchronized Feedback System for Neural Activity and Behavior Analysis 📈
3. Automated Data Pipelines for RNA Sequencing Data Analysis 📊
4. Image Analysis and Machine Learning Techniques for Early Detection of Skin Cancer 📸
5. Design and Implementation of a Deep-Learning Algorithm for Early Detection of Skin Cancer 📊

Conclusion

Marwa Soliman’s impressive educational background, extensive research experience, and technical expertise make her an outstanding candidate for the Best Researcher Award. While there are areas for improvement, her strengths and achievements demonstrate her dedication to advancing knowledge and making a positive impact in her field.

Dr. Addisu Frinjo Emma | Smart Structures Award | Best Researcher Award

Dr. Addisu Frinjo Emma |Smart Structures Award | Best Researcher Award

Dr. Addisu Frinjo Emma, Dilla University, Ethiopia

Dr. Addisu Frinjo Emma 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:

Educational Qualification: 📚

Ph.D. in Thermal Engineering from National Institute of Technology Karnataka (2022)MSc in Automotive Technology from Adama Science and Technology University (July 2014)BSc in Automobile Technology from Adama University (July 2006)Work Experience: 💼Assistant Professor at Dilla University (Nov. 8, 2022 – Present)Research Scholar at National Institute of Technology Karnataka, Surathkal (July 2018 – Nov. 7, 2022)Lecturer at Dilla University, Ethiopia (Sep. 8, 2014 – Present)Instructor at Dilla TVET College, Ethiopia (Sep. 8, 2007 – Aug. 2013)

Subjects Handled: 📝

IC Engine and Reciprocating MachinesMotor Vehicle EngineeringAutomotive Electrical and Electronics I & IIFundamentals of Automobile EngineeringIC Engine and Turbomachine LabBasic Engineering WorkshopAnd many more…

Other Activities: 🌟

Director of University Industry Linkage and Technology TransferDirector of General Maintenance and Operation at Dilla UniversityHead of Department of Automotive Engineering at Dilla UniversityAnd various other leadership roles

Projects Works Done:🛠️

Ph.D. Thesis: Experimental Investigation of Coffee Husk Biodiesel as a Renewable Fuel in Compression Ignition EngineMSc. Thesis: Designing and Developing Solar Energy Operated Water Pump for Small Scale IrrigationAnd other impactful projectscations in esteemed journals and conference proceedings related to IC Engine, Alternative Energy, and Modern Vehicle Technology.

📊 Citation Metrics (Google Scholar):

Citations by: All – 56, Since 2018 – 56

h-index: All – 3, Since 2018 – 3

i10 index: All – 2, Since 2018 –2