Volodymyr Tychkov | Experimental Design | Best Researcher Award

Assoc. Prof. Dr. Volodymyr Tychkov | Experimental Design | Best Researcher Award

Assoc. Prof. Dr. Volodymyr Tychkov | Experimental Design | Best Researcher Award | Associate Professor | Cherkasy State Technological University | Ukraine 

Assoc. Prof. Dr. Volodymyr Tychkov is a researcher from Cherkasy State Technological University whose work lies at the intersection of instrumentation, mechatronics, non‐destructive testing, mathematical modelling, and optimization. He holds a Ph.D. (Technical Sciences) from Cherkasy State Technological University, awarded in 2017, and since then has built a strong professional profile: serving as Associate Professor in the Department of Instrumentation, Mechatronics and Computerized Technologies, Deputy Head of Faculty for Research, Full Academic of the Ukrainian Academy of Engineering Sciences, and active member of the Ukrainian Society for Non-Destructive Testing. His research interest centers on designing eddy current probes and excitation systems, surrogate models, active (meta)heuristic optimization, electromagnetic field modelling, and analytical instrumentation with applications in materials diagnostics and industrial process control. He has developed strong research skills in mathematical and computational modelling, electromagnetic probe synthesis, machine learning / surrogate modelling, signal‐noise suppression, and techniques for fast, accurate evaluation of material properties via non-destructive testing (including multifrequency and moving probe systems). Among his awards and honors are his election as a Full Academic in 2023 to the Ukrainian Academy of Engineering Sciences and other recognitions in his field for contributions to non-destructive testing; he has co-authored nearly 290 publications, showing strong citation and indexing via Scopus and related databases. In summary, Assoc. Prof. Dr. Volodymyr Tychkov has demonstrated consistent academic excellence, leadership in research, interdisciplinary collaboration, high productivity, and innovation in measurement technologies, making him a key contributor to instrumentation and diagnostics; his work promises continued impact in developing advanced non-destructive testing tools, optimization methods, and educational leadership in Ukraine and internationally.

Profile:  Google scholar Scopus | ORCID

Featured Publications

  1. Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2021). Surrogate synthesis of excitation systems for frame tangential eddy current probes. Archives of Electrical Engineering, 70(4), 743-757.

  2. Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2021). Surrogate synthesis of frame eddy current probes with uniform sensitivity in the testing zone. Metrology and Measurement Systems, 28(3), 551-564.

  3. Trembovetska, R. V., Halchenko, V. Y., & Tychkov, V. V. (2018). Studying the computational resource demands of mathematical models for moving surface eddy current probes for synthesis problems. Eastern-European Journal of Enterprise Technologies, 5(5 (95)), 39-46.

  4. Halchenko, V., Trembovetska, R., Bazilo, C., & others. (2023). Computer Simulation of the Process of Profiles Measuring of Objects Electrophysical Parameters by Surface Eddy Current Probes. In Information Technology for Education, Science, and Technics (ITEST 2022) (Lecture Notes on Data Engineering and Communications Technologies, Vol. 178), 411-424.

  5. Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2020). Surface Eddy Current Probes: Excitation Systems of the Optimal Electromagnetic Field (Review). Devices and Methods of Measurements, 11(2), 91-104.

 

Pandiyarajan Thangaraj | Experimental Design | Best Researcher Award

Pandiyarajan Thangaraj | Experimental Design | Best Researcher Award

Assist Prof Dr Pandiyarajan Thangaraj, Indian Institute of Information Technology Design and Manufacturing Kurnool, India

Based on Assist. Prof. Dr. Pandiyarajan Thangaraj’s impressive academic background, research achievements, and professional contributions, he is indeed a strong candidate for a Best Researcher Award.

Publication profile

orcid

Academic Excellence

Dr. Pandiyarajan holds a Ph.D. in Physics from the prestigious National Institute of Technology, Trichy, and has a strong educational foundation in applied physics. His Ph.D. thesis focused on advanced nanostructures, reflecting his expertise in this field. With top scores in his academic pursuits, his consistent excellence showcases his dedication to learning and research.

Extensive Research Contributions

Dr. Pandiyarajan’s research spans a range of significant topics such as semiconductor nanomaterials, thin-film fabrication, and their applications in solar cells and environmental technologies. He has worked on prestigious projects, including graphene quantum dot-based hydrogen fuel production and solar cell enhancement, showcasing innovation in renewable energy and environmental sustainability. His work has resulted in numerous high-impact publications, cementing his reputation in the scientific community.

Global Collaborations

He has post-doctoral research experience in prestigious international institutions such as the University of Concepcion, Chile, and has been a visiting researcher in Mexico and Sweden. These collaborations demonstrate his active participation in global research networks, advancing knowledge through interdisciplinary efforts.

Honors and Editorial Roles

Dr. Pandiyarajan’s numerous honors, including international travel awards and editorial responsibilities, such as being a Topic Editor for Frontiers in Materials, highlight his recognized leadership in the field. His work as a reviewer for numerous high-profile journals further underscores his academic influence and expertise.

Research Grants and Leadership

His successful acquisition of multiple research grants, including a SERB-SRG project and a DRDO project, showcases his ability to secure competitive funding and lead groundbreaking research. His ongoing work in quantum dot sensitized photocathodes for hydrogen fuel production highlights his forward-thinking contributions to sustainable energy.

conclusion

Assist. Prof. Dr. Pandiyarajan Thangaraj’s academic rigor, extensive research output, international collaboration, and leadership in material science research make him a highly deserving candidate for the Best Researcher Award. His contributions not only advance scientific understanding but also offer practical solutions to global challenges.

publication top notes

Optimizing CuBi2O4 Solar Cells with PCBM Electron Transport Layer: A Comprehensive Simulation Study Achieving 32.16% Efficiency

Ajad Shrestha | Experimental Design | Innovative Research Award

Ajad Shrestha | Experimental Design | Innovative Research Award

Mr Ajad Shrestha, Global Engineering Associates, P., Ltd. Nepal

Publication profile

google scholar

Education

Ajad Shrestha holds a Master’s degree in Civil and Hydraulics Engineering from Tongji University (2021–2024) and a Bachelor’s degree in Civil Engineering from the Institute of Engineering, Thapathali Campus (2015–2019). His educational background has provided him with a solid foundation in structural engineering, which is critical for innovative research in this field.

Research Projects

Ajad has contributed to multiple significant research projects, such as studying the use of recycled polyethylene terephthalate (PET) in 3D printable mortar, investigating the flexural and shear performance of HS-ECC beams, and exploring autogenous shrinkage mitigation in high-strength engineered cementitious composites (HS-ECC). His ability to manage complex variables and deliver measurable results, like reducing shrinkage by 40%, showcases his technical expertise and problem-solving skills.

Work Experience

Ajad has substantial research experience as a Research Student at Tongji University, focusing on HS-ECC material and structural applications. He also worked as a Civil Engineer and Research Assistant at Global Engineering Associates, gaining hands-on experience in FEM analysis, bridge damage research, and structural calculations. This combination of academic and professional experience makes him a strong candidate for the Innovative Research Award.

Publications

Ajad’s contributions to scholarly publications are extensive, including papers on high-performance concrete, machine learning models, and advanced structural analysis. His research on the mechanical properties of cementitious composites and UHPC highlights his commitment to developing innovative, real-world solutions.

Research focus

The research focus of this individual is on advanced materials in civil engineering, particularly engineered cementitious composites and ultra-high-performance concrete (UHPC). Their work explores the mechanical and shrinkage properties of these materials, emphasizing the use of iron sand to develop high-strength cementitious composites. Additionally, they employ hybrid machine learning models to predict the mechanical properties of UHPC, validated through experiments. This interdisciplinary approach integrates material science, construction technology, and AI-driven predictive modeling to enhance the performance and sustainability of modern construction materials. 🏗️🔬💡

Awards and Scholarships

Ajad has earned the Departmental Scholarship from Tongji University, a recognition based on his academic performance and research contributions. This accolade, along with his proven track record in research, reflects his dedication and potential for future innovation.

Conclusion

Based on Ajad Shrestha’s extensive research in structural engineering, innovative use of materials like recycled PET and HS-ECC, and his solid academic background, he appears to be a highly suitable candidate for the Innovative Research Award. His demonstrated ability to solve complex problems, combined with a focus on real-world applications, makes him a promising innovator in the field of civil engineering.

Publication top notes

Development of high-strength engineered cementitious composites using iron sand: Mechanical and shrinkage properties

Hybrid machine learning model to predict the mechanical properties of ultra-high-performance concrete (UHPC) with experimental validation