Prof. Dr. Mehmet Bulent Durmusoglu – Industrial Engineering – Best Researcher Award 

Prof. Dr. Mehmet Bulent Durmusoglu - Industrial Engineering - Best Researcher Award 

Istanbul Technical University - Turkey 

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Mehmet Bulent Durmusoglu began his academic journey at istanbul technical university, where he also earned his ph.d. in industrial engineering. from the outset, he displayed a keen interest in manufacturing systems, with a focus on optimizing production and service environments. his early studies laid a solid foundation in operations research, system design, and industrial optimization, inspiring his lifelong pursuit of creating more efficient and sustainable production frameworks. his academic curiosity and dedication quickly positioned him among the promising scholars in industrial engineering in turkey.

🚀 Professional endeavors

As an emeritus professor at istanbul technical university, durmusoglu has had a distinguished academic career marked by innovation, mentorship, and practical application. his teaching and research have been deeply rooted in the design and implementation of cellular and lean manufacturing systems, with an extension into service systems. over the years, he has authored 39 journal articles and contributed to 7 book chapters, firmly establishing his academic footprint. beyond academia, his engagement in over 45 consultancy and industrial projects has proven his ability to translate theoretical insights into real-world operational improvements.

🧐 Contributions and research focus

Durmusoglu's research focus centers on lean transformation and the integration of lean principles into both manufacturing and service sectors. his seminal work, "lean transformation journey: is transformation possible or just a dream?" captures the essence of his philosophy and practical experience in this field. through his projects, he has transformed approximately 25% of the Industrial Engineering companies he consulted into lean operations, proving the tangible value of his methodologies. his contributions have not only enriched academic discourse but have also significantly advanced lean practice and strategy implementation in diverse organizational contexts.

🏆 Accolades and recognition

His research has earned widespread recognition, reflected in an impressive h-index of 21 and an i-10 index of 40. his impact is further underscored by his numerous industrial consultancy projects, which have driven notable performance improvements across sectors. as the author of a leading book on lean transformation published by optimist publishing group, he has Industrial Engineering influenced both academic circles and business practitioners. his work continues to be cited by scholars and applied by professionals aiming to create agile, efficient, and customer-focused systems.

👨‍💼 Impact and influence

Durmusoglu's influence spans both the academic and industrial spheres. his guidance in 24 lean transformation projects and 21 performance enhancement initiatives has had a measurable Industrial Engineering impact on organizational efficiency. many companies have credited his strategic interventions for significant cost savings, process improvements, and workforce empowerment. he has served as a bridge between theory and practice, bringing lean philosophies into real-world settings and inspiring both students and industry professionals with his applied knowledge and transformative vision.

🌍 Legacy and future contributions

As a thought leader and educator, durmusoglu’s legacy lies in his unwavering commitment to lean principles and continuous improvement. even as an emeritus professor, he remains engaged in the field, mentoring future leaders and contributing to ongoing research. his future vision includes expanding the scope of lean thinking into emerging areas such as digital transformation and sustainable operations. his journey stands as a testament to how academic excellence can be harnessed to drive real-world change and build a culture of innovation, resilience, and operational excellence.

Notable Publications 

  • Title: Fuzzy multi-attribute equipment selection based on information axiom
    Author(s): O. Kulak, M.B. Durmuşoğlu, C. Kahraman
    Journal: Journal of Materials Processing Technology

  • Title: A complete cellular manufacturing system design methodology based on axiomatic design principles
    Author(s): O. Kulak, M.B. Durmusoglu, S. Tufekci
    Journal: Computers & Industrial Engineering

  • Title: Classification and modeling for in-plant milk-run distribution systems
    Author(s): H.S. Kilic, M.B. Durmusoglu, M. Baskak
    Journal: The International Journal of Advanced Manufacturing Technology

  • Title: A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry
    Author(s): S. Baysan, O. Kabadurmus, E. Cevikcan, S.I. Satoglu, M.B. Durmusoglu
    Journal: Journal of Cleaner Production

  • Title: Advances in assembly line parts feeding policies: a literature review
    Author(s): H.S. Kilic, M.B. Durmusoglu
    Journal: Assembly Automation

Dr. Tai Fei – Information Engineering – Best Researcher Award

Dr. Tai Fei - Information Engineering - Best Researcher Award

Fachhochschule Dortmund - Germany

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Tai Fei began his academic journey with a strong focus on signal processing and sonar technology. from september 2009 to november 2014, he pursued his ph.d. under the guidance of prof. dieter kraus at the university of bremen. his doctoral research was intricately linked to a project that involved the detection and classification of underwater targets using synthetic aperture sonar images. during this time, he collaborated with the signal processing group (spg) at the technical university of darmstadt, where prof. abdelhak zoubir served as his doctoral advisor. tai's academic foundation laid the groundwork for his future expertise in sonar technology and signal processing.

Professional endeavors 🏢

After completing his ph.d., tai fei expanded his research scope by joining the center for marine environmental sciences (marum) at the university of bremen. here, he applied his expertise in sonar technology to marine environmental research, contributing to the field of underwater target detection. his career took a turn towards the automotive industry in 2014 when he joined hella, a global leader in automotive technology. from march 2014 to october 2023, tai served as an expert in automotive radar, further broadening his experience in signal processing and its real-world applications. in november 2023, he transitioned to academia, taking on the role of interim professor at the dortmund university of applied sciences in the field of computer vision and robotics, assuming the responsibilities of prof. jörg theim.

Contributions and research focus 🔬

Tai Tei’s research primarily revolves around signal processing, sonar technology, and radar systems. during his doctoral studies, he contributed significantly to the development of algorithms for the detection and classification of underwater targets using synthetic aperture sonar. his work in this field extended to marine Information Engineering environmental research, where he applied sonar technology to study underwater environments. later, his expertise evolved into automotive radar, where he played a key role in the development of radar systems used in modern vehicles for safety and automation. his current research focus includes computer vision and robotics, where he integrates his deep understanding of signal processing into cutting-edge technological advancements.

Accolades and recognition 🏅

Tai’s work has been widely recognized in both the academic and industrial sectors. his contributions to sonar and radar technology have been instrumental in advancing both marine environmental sciences and automotive safety. his transition to academia as an interim professor at the dortmund university of applied Information Engineering sciences is a testament to his recognition as a leading expert in his field. throughout his career, he has worked alongside esteemed professors such as prof. dieter kraus and prof. abdelhak zoubir, further validating his standing in the scientific community.

Impact and influence 🌍

Tai fei’s impact spans multiple industries and disciplines. his early work on synthetic aperture sonar has contributed to advancements in underwater target detection, Information Engineering with implications for both marine research and defense technologies. in the automotive industry, his expertise in radar systems has played a role in enhancing vehicle safety through the development of cutting-edge radar technologies. now, as an interim professor, he is poised to influence the next generation of researchers and engineers, shaping the future of computer vision and robotics.

Legacy and future contributions 🔮

Tai’s legacy is defined by his interdisciplinary expertise and his ability to transition between academia and industry. his work in signal processing, sonar, and radar technology will continue to influence both marine and automotive fields. as he takes on a more prominent academic role, his future contributions are likely to expand into the realms of computer vision and robotics, further bridging the gap between theoretical research and practical applications. his commitment to innovation ensures that his impact will be long-lasting and far-reaching.

Notable Publications

  1. Title: Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
    Authors: Y. Sun, T. Fei, X. Li, A. Warnecke, E. Warsitz, N. Pohl
    Journal: IEEE Sensors Journal, 1-11, 2020
  2. Title: Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
    Authors: T. Fei, D. Kraus, A.M. Zoubir
    Journal: IEEE Transactions on Geoscience and Remote Sensing 53 (1), 505-518, 2014
  3. Title: Gesture Classification with Handcrafted Micro-Doppler Features using a FMCW Radar
    Authors: Y. Sun, T. Fei, F. Schliep, N. Pohl
    Journal: 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Systems, 2018
  4. Title: Automatic Radar-based Gesture Detection and Classification via a Region-based Deep Convolutional Neural Network
    Authors: Y. Sun, T. Fei, S. Gao, N. Pohl
    Journal: ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
  5. Title: A High-Resolution Framework for Range-Doppler Frequency Estimation in Automotive Radar Systems
    Authors: Y. Sun, T. Fei, N. Pohl
    Journal: IEEE Sensors Journal 19 (23), 11346-11358, 2019

Assoc Prof Dr. Shidvash Vakilipour – Engineering – Best Researcher Award

Assoc Prof Dr. Shidvash Vakilipour - Engineering - Best Researcher Award

University of Tehran - Iran

Professional Profile

SCOPUS 

ORCID

Early Academic Pursuits

Shidvash Vakilipour's academic journey began with a strong focus on mechanical engineering, obtaining a B.Sc. from Sharif University of Technology in September 2000. He further specialized in aerodynamic engineering with an M.Sc. from Tarbiat Modares University, completed in January 2003. His pursuit of advanced knowledge led him to earn a Ph.D. in Power and Propulsion from Sharif University of Technology in September 2008. This academic background laid the foundation for his expertise in computational fluid dynamics, thermo-fluid science, and propulsion systems.

Professional Endeavors

Vakilipour's professional career is marked by significant academic and research positions. He is an Associate Professor at the College of Interdisciplinary Science and Technology, University of Tehran, where he also served as Executive Vice President. His experience includes a post-doctoral research fellowship at the University of Manitoba, where he contributed to the Computational Thermo-Fluid Science Lab. His roles have allowed him to mentor graduate students and lead significant research projects in computational fluid dynamics and thermo-fluid sciences.

Contributions and Research Focus

Vakilipour has made notable contributions to computational thermo-fluid science, focusing on numerical simulations of multi-phase flows, aero-thermal flow calculations in turbomachinery, turbulence flow modeling, and molecular dynamics simulations. His research extends to power and propulsion systems, Engineering including engine condition trend monitoring and performance enhancement of gas turbine-based power plants. He is also involved in renewable energy technologies, such as wind turbine blade design and combustion modeling for sustainable energy applications. His work is supported by extensive use of scientific computing software like OpenFOAM, Fluent, and CFX.

Accolades and Recognition

Vakilipour's achievements include membership in the Canadian Society for Mechanical Engineering and a post-doctoral research fellowship at the University of Manitoba. He founded The Center for High Performance Computing at the University of Tehran, Engineering demonstrating his leadership in advancing computational research infrastructure. His role as a visiting researcher at the University of Manitoba underscores his international recognition and collaboration in the field of mechanical engineering.

Impact and Influence

Vakilipour's research has had a significant impact on the fields of thermo-fluid dynamics and propulsion systems. His work on numerical simulations and turbulence modeling has contributed to advancements in the efficiency and performance of engineering systems. His academic contributions are further amplified by his role in mentoring Ph.D. and M.Sc. students, guiding their research in complex fluid dynamics and energy systems. His publications and collaborations reflect his influence on both the academic community Engineering and industry applications.

Legacy and Future Contributions

Shidvash Vakilipour's legacy is characterized by his dedication to advancing computational and experimental methods in mechanical engineering. His ongoing research projects, such as the development of interface tracking methods for two-phase flows and the aerodynamic assessment of wind turbine airfoils, promise to push the boundaries of current engineering knowledge. His future contributions are anticipated to further enhance the understanding and application of thermo-fluid dynamics in renewable energy and propulsion systems.

NOTABLE PUBLICATIONS

A fully coupled ALE interface tracking method for a pressure-based finite volume solver  2021(5)

Numerical study of longitudinal vein effects on the aerodynamic characteristics of a corrugated bio-airfoil  2021(2)

Inverse Designing Airfoil Aerodynamics in Compressible Flow by Target Pressure Distribution  2021(1)

A numerical investigation of CO2 dilution on the thermochemical characteristics of a swirl stabilized diffusion flame  2020(2)

Numerical assessment of a deformable trailing-edge flap on aerodynamic load control of a pitching S809 airfoil using OpenFOAM  2016(7)