Weimin Huang | Engineering | Best Researcher Award

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Assist. Prof. Dr. Weimin Huang | Engineering | Best Researcher Award

Shandong University of Science and Technology | China

Dr. Weimin Huang, Academic Associate Professor at the College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, is a leading expert in mechanical manufacturing and automation, with a focus on high-speed cutting technology, friction and fatigue wear mechanisms, and advanced agricultural machinery design. He earned his Ph.D. in Mechanical Manufacturing and Automation from Shandong University, establishing a strong foundation for his research and academic contributions. Dr. Weimin Huang has successfully led over 10 major research projects, including funding from the National Natural Science Foundation of China, and the Natural Science Foundation of Shandong Province, and has directed more than 20 industry-sponsored consultancy projects, effectively translating scientific insights into practical engineering solutions. His pioneering work on surface texture preparation via ball-end milling has significantly enhanced wear resistance and tribological performance of mechanical components, while his studies on sliding fatigue wear mechanisms have improved the durability and efficiency of industrial and agricultural equipment. He has published 37 Scopus-indexed journal articles, with 311 citations and an H-index of 11. Through his sustained research, innovation, and applied engineering contributions, Dr. Weimin Huang has established himself as a prominent scholar and a driving force in advancing mechanical manufacturing technologies.

Profile: Scopus

Featured Publications

1. Wang, G., Li, H., Wang, Z., & Jiang, D. (2025, May). Research on surface integrity and corrosion performance in high-speed ball-end milling of NiTi shape memory alloys.

2. Yang, J., Gong, C., Li, A., & Wang, P. (2025, March). Research on NiTi shape memory alloy electrolyte based on optimization of corrosion performance.

3. Huang, W., Huang, Y., Li, A., & Wang, G. (2024, November). Generation mechanism and anti-friction effect evaluation of continuous micro-groove texture machined by ball-end milling process.

4. Gao, L., Zhou, X., Huang, W., & Xia, H. (2024, February). Generation method and antifriction performance evaluation of discrete micro-pit surface texture based on high speed ball-end milling process.

5. Wang, G., Gong, C., Yang, J., & Wang, P. (2024, February). Electrochemical reaction mechanism of milled surface of NiTi shape memory alloy.

6. Gao, L., Wang, J., Huo, H., & Wang, Z. (2024, February). Residual height of surface topography in milling nickel-titanium shape memory alloy using a small-diameter cutter.

Tian Zhang | Engineering | Best Researcher Award

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Dr. Tian Zhang | Engineering | Best Researcher Award

Xi’an University of Architecture and Technology | China

Dr. Zhang Tian, a Master’s student in Structural Engineering at Xi’an University of Architecture and Technology, has built an impressive academic and research profile distinguished by consistent excellence, leadership, and early scholarly impact. He completed his undergraduate studies at Huanghuai University, where he was recognized as a “Three Good Student” for four consecutive years, awarded multiple academic scholarships, and graduated as an Outstanding Graduate. His achievements also include winning the third prize in the Challenge Cup of the School of Civil Engineering and being honored as an Outstanding Communist Youth League Member, distinctions that reflect his ability to combine academic rigor with innovation and service. At the graduate level, he has continued to excel, receiving an academic scholarship in 2022–2023 while advancing research in seismic-resistant structures, sustainable construction materials, and structural design optimization, areas vital to the development of safe and environmentally responsible infrastructure. Despite being in the early stage of his research career, Dr. Zhang Tian has already made notable scholarly contributions, with 6 publications indexed in Scopus, accumulating 69 citations from 68 documents, and achieving an h-index of 5. These metrics demonstrate that his work is not only visible but also valued within the global academic community. Combining strong academic performance, proven research productivity, and a clear vision for advancing structural engineering, Dr. Zhang Tian exemplifies the qualities of an emerging scholar whose contributions are poised to strengthen the safety, resilience, and sustainability of modern construction.

Profile: Scopus

Featured Publications

Xu, Y., Xu, Z.-D., Hu, H., Guo, Y.-Q., Huang, X.-H., Zhang, Z.-W., Zhang, T., & Xu, C. (2025). Experiment, simulation, and theoretical investigation of a new type of interlayer connections enhanced viscoelastic damper. International Journal of Structural Stability and Dynamics, 25(5), Article 2550045.

Osman Bulut | Engineering | Best Researcher Award

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Assoc. Prof. Osman Bulut | Engineering | Best Researcher Award

Istanbul Technical University | Turkey

Prof. Osman Bulut is an esteemed Associate Professor at Istanbul Technical University, specializing in applied mechanics. With a PhD in micromechanics, he has made significant contributions to experimental mechanics, particularly in the field of photoelasticity. His expertise spans various engineering disciplines, where he integrates theoretical insights with hands-on laboratory research.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • Strong Research Background

    • Conducted 11 research projects in applied mechanics and experimental mechanics.

    • Published 17 SCI-indexed and 18 Scopus-indexed journal papers.

    • His citation count (144 in WOS, 167 in Scopus) indicates a recognized impact in his field.

  • Interdisciplinary Contributions

    • Applied photoelasticity methods in dentistry, metallurgy, and geomechanics, demonstrating cross-disciplinary research.

    • His experimental work on thermal stresses in functionally graded materials adds practical value to engineering and material sciences.

  • Educational & Teaching Contributions

    • Teaches Strength of Materials, Structural Dynamics, and Engineering Mathematics at Istanbul Technical University, shaping future engineers and researchers.

    • Developed an experimental photoelastic setup for pipe-soil interaction, contributing to both research and education.

Education 🎓

Osman Bulut holds a PhD in micromechanics, which has provided a strong foundation for his extensive research in applied mechanics. His academic journey has equipped him with deep knowledge in elasticity, continuum mechanics, and thermoelasticity, shaping his innovative approach to problem-solving in engineering.

Experience 💼

Currently serving as an Associate Professor at the Faculty of Civil Engineering, Istanbul Technical University, Osman Bulut teaches fundamental and advanced courses, including Strength of Materials, Theory of Elasticity, Structural Dynamics, Engineering Mathematics, and Statics. His role extends beyond teaching, involving active participation in interdisciplinary research and industry projects.

Research Interests On Engineering 🔬

His research interests lie in elasticity, experimental mechanics, continuum mechanics, and thermoelasticity. His groundbreaking work focuses on stress analysis using the photoelasticity method, with applications in dentistry (orthodontics and implants), metallurgy (nanocomposite materials characterization), and geomechanics (pipe-soil interaction analysis).

Awards 🏆

Osman Bulut has been nominated for the prestigious Best Researcher Award at the Forensic Scientist Awards. His contributions to experimental and applied mechanics have earned him recognition in academia and industry alike.

Publications 📚

  • Understanding the polymer type and CNT orientation effect on the dynamic mechanical properties of high volume fraction CNT polymer nanocomposites
    Authors: D Ürk, E Demir, O Bulut, D Çakıroğlu, FÇ Cebeci, ML Öveçoğlu, H Cebeci
    Year: 2016
    Citations: 67

  • L-Arginine Modified Multi-walled Carbon Nanotube/Sulfonated Poly (ether ether ketone) Nanocomposite Films for Biomedical Applications
    Authors: H Kaya, O Bulut, AR Kamali, D Ege
    Year: 2018
    Citations: 42

  • Substrate stiffness effects on SH‐SY5Y: The dichotomy of morphology and neuronal behavior
    Authors: A Ozgun, FZ Erkoc‐Biradlı, O Bulut, B Garipcan
    Year: 2021
    Citations: 12

  • Boosted viscoelastic and dynamic mechanical behavior of binary nanocarbon based polyurethane hybrid nanocomposite foams
    Authors: A Navidfar, O Bulut, T Baytak, H Iskender, L Trabzon
    Year: 2022
    Citations: 10

  • Thermal Stress in Functionally Graded Plates with a Gradation of the Coefficient of Thermal Expansion Only
    Authors: T Baytak, O Bulut
    Year: 2022
    Citations: 10

  • Bioinspired hydrogel surfaces to augment corneal endothelial cell monolayer formation
    Authors: FZ Erkoc‐Biradlı, A Ozgun, MÖ Öztürk‐Öncel, M Marcali, C Elbuken, …
    Year: 2021
    Citations: 10

  • Three-dimensional stress state around corrosive cavities on pressure vessels
    Authors: Z Abdulaliyev, S Ataoglu, O Bulut, ES Kayali
    Year: 2010
    Citations: 9

  • CNT incorporation improves the resolution and stability of porous 3D printed PLGA/HA/CNT scaffolds for bone regeneration
    Authors: H Kaya, Ş Arıcı, O Bulut, F Bilgili, D Ege
    Year: 2023
    Citations: 8

  • Effect of Temperature and Film Thickness on Residual Stress and Texture of Buffer Layers for YBCO Coated Conductor
    Authors: L Arda, S Ataoglu, O Bulut
    Year: 2009
    Citations: 7

  • Nonlinear behaviour of epoxy and epoxy-based nanocomposites: an integrated experimental and computational analysis
    Authors: M Tüfekci, T Baytak, O Bulut, İ Pir, S Acarer Arat, B Özkal, H Liu, JP Dear, …
    Year: 2024
    Citations: 6

Conclusion 🌍

Osman Bulut stands out as a dedicated researcher and educator in applied mechanics. His contributions to experimental methodologies, particularly in photoelasticity, have enriched various scientific fields. His passion for interdisciplinary research, innovative problem-solving, and teaching excellence continues to drive advancements in engineering and mechanics.

Suganya | Engineering | Best Researcher Award

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Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Y. Suganya, M.E., (Ph.D.), is a dedicated academic professional with over 14 years of teaching experience in Computer Science and Engineering. Her research focuses on machine learning and deep learning techniques for ovarian cyst classification and prediction. She has contributed significantly to academia through publications, conference presentations, and departmental leadership.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Research Excellence: Y. Suganya has a strong research background, with a focus on machine learning and deep learning applications in medical imaging, particularly ovarian cyst classification. Her Ph.D. work aligns well with contemporary research trends in AI-driven healthcare.
  • Publication Record: She has published extensively in reputable journals and conferences, including Springer and IEEE Xplore, with multiple papers indexed in Scopus. These publications demonstrate the depth and quality of her research.
  • Teaching and Mentorship: Nearly 15 years of teaching experience, with a proven track record of producing 100% results in several semesters, indicates her commitment to education and mentorship.
  • Leadership and Service: She has taken on significant responsibilities such as coordinating accreditation processes (NBA), acting as Chief Superintendent for examinations, and serving as a journal reviewer. These roles highlight her leadership skills and service to the academic community.
  • Technical Proficiency: Proficiency in programming languages like Python, C, C++, and Java supports her research in machine learning and data analysis, making her technically well-equipped.

🎓 Education

  • Ph.D. (Computer Science and Engineering)
    • Annamalai University, Tamil Nadu, India
    • Thesis: “Classification and Prediction of Ovarian Cysts Using Machine Learning and Deep Learning Techniques” (Thesis Submitted: October 16, 2023)
  • Master of Engineering (Computer Science and Engineering)
    • MIET College of Engineering (Affiliated to Anna University), Tamil Nadu, India (June 2011) – CGPA: 8.22 (First Class)
  • Bachelor of Engineering (Computer Science and Engineering)
    • Royal College of Engineering (Affiliated to Anna University), Tamil Nadu, India (April 2005) – Percentage: 66.6% (First Class)

💼 Experience

  • Assistant Professor
    • Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
  • Lecturer
    • Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)

🔬 Research Interests On Engineering

  • Machine Learning and Deep Learning
  • Medical Image Processing
  • Ovarian Cyst Classification and Prediction
  • Artificial Intelligence in Healthcare

🏆 Awards

  • Annual Membership in ACM Professional Membership (ID: 5666897)
  • Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
  • Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
  • Coordinated NBA Accreditation Work for the Computer Science Department

📝 Publications

  • Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
    Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
    Year: 2023
    Citations: 17

  • Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 11

  • Title: Classification of medical x-ray images for automated annotation
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 10

  • Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
    Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
    Year: 2021
    Citations: 7

  • Title: Classification of X-rays using statistical moments and SVM
    Authors: S Ganesan, TS Subashini, K Jayalakshmi
    Year: 2014
    Citations: 7

  • Title: An approach toward the efficient indexing and retrieval on medical X-ray images
    Authors: S Ganesan, TS Subashini
    Year: 2013
    Citations: 7

  • Title: A content based approach to medical X-Ray image retrieval using texture features
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 6

  • Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
    Authors: BY Krishna, Y Suganya
    Year: 2011
    Citations: 5

  • Title: Fuzzy based detection and swarm based authenticated routing in MANET
    Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
    Year: 2014
    Citations: 3

  • Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 2

📊 Conclusion

Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.