Anna Stepashkina | Polymer composites | Best Researcher Award

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Dr. Anna Stepashkina | Polymer composites | Best Researcher Award

Dr. Anna Stepashkina, Zhejiang Lab, China

Dr. Anna S. Stepashkina is a distinguished researcher in materials science and artificial intelligence applications. She earned her PhD in Technical Sciences from St. Petersburg State University of Industrial Technologies and Design, focusing on electrical and thermal conductivity in polymer composites. Currently a Research Expert at Zhejiang Lab in China, she specializes in finite element analysis, machine learning, and 3D-printing materials. Previously, she served as an Associate Professor and AI Lab Head at the State University of Aerospace Instrumentation, contributing to AI in education. With a strong background in computational materials science, Dr. Stepashkina has authored numerous publications on polymer composites, quantum dots, and electromagnetic shielding. She is fluent in Russian, English, Chinese, Serbian, and Norwegian. Her outstanding contributions to higher education and AI integration have earned her prestigious awards, including the 2022 St. Petersburg Government Award.

Publication Profile

Scopus

Education 🎓

Dr. Stepashkina obtained her PhD in Technical Sciences from St. Petersburg State University of Industrial Technologies and Design (2015), where she researched the electrical and thermal conductivity of polymer composites. She completed her B.S. and M.S. at Peter the Great St. Petersburg Polytechnic University (2006–2012), focusing on non-radioactive energy transfer between quantum dots for medical applications. Her expertise spans physics, materials science, and computational modeling, shaping her multidisciplinary research career.

Experience 💼

Dr. Stepashkina is a Research Expert at Zhejiang Lab in China, applying AI and machine learning to materials science and developing 3D-printing alloys. She previously served as Associate Professor, Deputy Head of the Department, and AI Lab Head at the State University of Aerospace Instrumentation, leading global AI education initiatives. Her past roles include lecturer positions at Peter the Great St. Petersburg Polytechnic University and Mozhaisky Military Space Academy, focusing on physics, metrology, and engineering. She has also worked as an FEA engineer, metrology specialist, and software engineer in various institutions.

Awards & Honors 🏅

Dr. Stepashkina received the 2022 St. Petersburg Government Award for her innovative integration of AI into education. Her contributions to computational materials science and interdisciplinary research have earned recognition from international scientific communities.

Research Focus 🔬

Her research focuses on computational materials science, including electrical and thermal conductivity in polymer composites, quantum dot energy transfer, AI applications in material properties prediction, and 3D-printing innovations. She explores machine learning for material design, electromagnetic shielding, and polymer composite optimization.

Publication Top Notes

Ensemble regression method for predicting the dependence of electrical resistance on the elongation of polymer composite materials

Examining the Impact of Anisotropic Particle Orientation in a Polymer Matrix on the Electrical Properties of Composite Materials

Conclusion

Dr. Anna Stepashkina is a strong candidate for the Best Researcher Award. Her multidisciplinary expertise, leadership in AI-driven material science research, and significant contributions to both academic and applied material studies underscore her deserving candidacy. Recognizing her with this award would celebrate her innovative approach and dedication to scientific advancement.

Abdullah Eaysin | Composite material | Best Researcher Award

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Mr. Abdullah Eaysin | Composite material | Best Researcher Award

Mr. Abdullah Eaysin, Fervent multiboard industry ltd, Bangladesh

Mr. Abdullah Eaysin is a highly accomplished Industrial & Production Engineering graduate from Ahsanullah University of Science & Technology, with a CGPA of 3.764/4.00 and recognition on the Dean’s List. He has demonstrated strong leadership through his research, including leading a team in 2023 to optimize process parameters for laser beam machining using the ANFIS method, focusing on surface roughness and kerf width. In 2022, he led a project on designing an automatic can crusher, which improved efficiency and safety while reducing volume by 80%. His academic journey also includes excellent results in both HSC and SSC exams. 💡🎓🔧📈

 

Publication Profile

Scopus

Academic Excellence 🎓🌟

Mr. Abdullah Eaysin is a distinguished graduate in Industrial & Production Engineering from Ahsanullah University of Science & Technology (AUST), Dhaka, with a CGPA of 3.764/4.00, earning a spot on the Dean’s List. He also excelled in his Higher Secondary Certificate (HSC) with a GPA of 4.50/5.00 and achieved a perfect 5.00/5.00 GPA in his Secondary School Certificate (SSC) exams. His academic achievements reflect his dedication, passion, and strong foundation in engineering principles, making him a standout individual in his field. 📚🏅

 

Certifications in Manufacturing & Design 🏆🔧

Mr. Abdullah Eaysin has enhanced his knowledge and expertise with certifications in key areas of industrial engineering. In 2020, he completed the Advanced Manufacturing Process Analysis and Digital Manufacturing & Design courses through Coursera. These certifications have provided him with advanced insights into modern manufacturing techniques, digital design principles, and process optimization. His dedication to continuous learning and professional growth is evident in his pursuit of cutting-edge skills, positioning him as a well-rounded engineer prepared for the challenges in the field of industrial and production engineering. 💻🔩📈

 

Professional Experience 🛠️🔍

Mr. Abdullah Eaysin has gained valuable hands-on experience in diverse roles throughout his career. In 2022, he completed an industrial attachment at BSRM Steel Mills Ltd., where he worked on steel manufacturing, quality standards, and safety regulations. He then served as a Production Engineer at Universal LPG & Gas Cylinder (Dec 2023 – Apr 2024), overseeing production processes, ensuring cylinder quality, and implementing lean practices to improve efficiency. Currently, as an Intern in Supply Chain Management at Walton Hi-Tech Industries PLC (May 2024 – Ongoing), he analyzes material sourcing fluctuations, manages supplier relationships, and collaborates with production teams. 🏭📦

 

Research Focus

Mr. Abdullah Eaysin research primarily focuses on the optimization and prediction of surface quality and material removal rates in advanced manufacturing processes, particularly in electrical discharge machining (EDM) and laser beam machining. His work involves using methods such as Adaptive Neuro-Fuzzy Inference System (ANFIS) for process parameter optimization, particularly for materials like tungsten-copper alloys and AISI-P20 mold steel. This aligns with his interest in improving efficiency and precision in manufacturing techniques. His expertise covers topics like surface finish optimization, material behavior under machining conditions, and process optimization to enhance production outcomes. 🔧⚙️📊

 

Publication Top Notes

  • “Prediction and optimization of surface quality and material removal rate in wire-EDM cutting of tungsten–copper alloy (W70Cu30)” (2025) 🔩,
  • “Process parameter optimization of laser beam machining for AISI-P20 mold steel using ANFIS method” (2025) ⚙️, cited by 1.