Samira Gholizadeh | Mechanical and Materials Engineering | Best Researcher Award

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Ms. Samira Gholizadeh | Mechanical and Materials Engineering | Best Researcher Award

Ms at University of Cape Town,Ā  South Africa

Samira Gholizadeh is a skilled mechanical engineer and AI enthusiast based in Cape Town, South Africa. As IBM Champion and founder of Mind Mover Academy, she advocates for knowledge-sharing and women’s empowerment in STEM. Samira holds extensive expertise in mechanical design, advanced material characterization, and AI-driven analysis. She leads with innovation in technical inspection and project management, actively contributing to industry standards and safety improvements. Her work encompasses leadership in AI communities and educational councils, aiming to bridge gender gaps in tech. Currently pursuing a Ph.D., Samira brings comprehensive experience to the fields of engineering and AI.

Profile

Orcid

Scholar

Education šŸŽ“

Samira is a Ph.D. candidate in Mechanical Engineering at the University of Cape Town (2021-2024). She earned her M.Sc. in Manufacturing Systems Engineering from Universiti Putra Malaysia in 2015 and holds a B.Sc. in Industrial Design from Valiasr College, Tehran. Her foundational studies include a discrete associate degree in Technical Drawing from the University of Applied Science & Technology, Khorasan, Iran (2005). Additionally, Samira has a Postgraduate Diploma in AI & ML from the National Institute of Technology, Warangal, and completed the Oxford AI Programme, reflecting her commitment to bridging engineering with emerging technologies.

Experience šŸ’¼

Samira founded Caspian Felez Ofogh, where she directed industrial inspections, streamlining processes, and ensuring adherence to international standards. As Head of Mechanical Design Engineers at APEC, she managed projects in steel plant design and implemented Safety In Design principles. Previously, at Amin Industrial Company, she optimized production and maintenance, advancing Predictive Maintenance (PdM) methods. Her extensive background in production planning includes leading a team at Mashhad Millang Corporation to achieve ISO standards. As IBM TechXchange Liaison, she promotes diversity in AI, alongside her leadership role in UCTā€™s Postgraduate Student Council.

Awards and Honors šŸ†

Samira was awarded the IBM Champion badge for her significant contributions to AI advocacy and community leadership. She served as Chairperson of UCTā€™s EBE PG SC, championing postgraduate student rights and initiating successful workshops. Her dedication earned her high recognition in both industrial and academic spheres. Samira’s publications, including books and book chapters on engineering and composite materials, further highlight her expertise. She is also recognized for translating engineering texts into Farsi, broadening access to specialized knowledge in Iran.

Research Focus šŸ”¬

Samira’s research interests span advanced mechanical analysis, AI in engineering, and non-destructive testing (NDT) for material characterization. She integrates machine learning algorithms in mechanical testing, pioneering methods that enhance material durability and operational efficiency. Her recent works include microstructural analysis under blast loads and Austenitic Stainless Steel’s response to stress. Samira’s publications explore AI-driven advancements in NDT, and she continues to bridge AI with mechanical engineering to innovate in predictive analysis, material integrity, and sustainable manufacturing practices.

Conclusion šŸŒŸ

Overall, Samira Gholizadeh has demonstrated impressive technical capabilities, leadership qualities, and a clear impact on her field. With her commitment to innovation and inclusion, as evidenced by her leadership roles and her active role in promoting women in AI, she is a well-rounded candidate for the Best Researcher Award. Her profile speaks of a driven and versatile researcher, well-aligned with the values of academic excellence and professional integrity.

Publications Top Notes

  • A review of non-destructive testing methods of composite materials
    Year: 2016
    Authors: S Gholizadeh
    Conference: XV Portuguese Conference on Fracture, PCF 2016

 

  • A review of the application of acoustic emission technique in engineering
    Year: 2015
    Authors: S Gholizadeh, Z Leman, B T H T Baharudin
    Journal: Structural Engineering and Mechanics 54 (6), 1075-1095

 

  • A Review of Impact Behaviour in Composite Materials
    Year: 2019
    Authors: S Gholizadeh
    Journal: International Journal of Mechanical and Production Engineering 7 (3)

 

  • Top Popular Python Libraries in Research
    Year: 2022
    Authors: S Gholizadeh
    Journal: Journal of Robotics and Automation Research 3 (2), 142-145

 

  • State-Of-The-Art Ensemble Learning and Unsupervised Learning in Fatigue Crack Recognition of Glass Fiber Reinforced Polyester Composite (GFRP) Using Acoustic Emission
    Year: 2023
    Authors: B T H T Baharudin, S Gholizadeh, Z Leman
    Journal: Ultrasonics

 

  • Acoustic emission analysis for characterisation of damage mechanisms in glass fiber reinforced polyester composite
    Year: 2018
    Authors: S Gholizadeh, Z Leman, B Baharudin, O Inayatullah
    Journal: Australian Journal of Mechanical Engineering 16 (1), 11-20

 

  • Impact behaviours and Non-Destructive Testing (NDT) methods in carbon fiber composites in aerospace industry: a review
    Year: 2022
    Authors: S Gholizadeh, S Gholizadeh
    Preprint: Authorea Preprints

 

  • Deep Learning and Machine Learning Techniques in Advanced Non-Destructive Testing
    Year: 2023
    Authors: S Gholizadeh
    Journal: Journal of Harbin Engineering University 44 (11), 977-993

 

  • Evaluation Of Overall Equipment Effectiveness In Developing Country In Crankshaft Manufacturing
    Year: 2019
    Authors: S Gholizadeh
    Journal: Not specified

 

  • Damage Analysis and Prediction in Glass Fiber Reinforced Polyester Composite Using Acoustic Emission and Machine Learning
    Year: 2022
    Authors: S Gholizadeh
    Journal: Not specified

 

  • Damage Analysis and Prediction in Glass Fiber Reinforced Polyester Composite Using Acoustic Emission and Machine Learning
    Year: 2022
    Authors: S Gholizadeh
    Journal: Journal of Robotics and Automation Research 3 (2), 131-141

 

  • Glass fiber-reinforced polyester composite fatigue crack monitoring using acoustic emission
    Year: 2016
    Authors: O Inayatullah, S Gholizadeh, Z Leman, B T H T Baharudin
    Conference: Proceeding of 14th Research World International Conference, Auckland

 

 

Elsayed Abo-Dahabe | Thermoelasticity | Best Researcher Award

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Prof Dr. Elsayed Abo-Dahabe | Thermoelasticity | Best Researcher Award

Professor at South Valley University Egypt

Prof. DSc. Elsayed M. Abo-Dahab is a renowned Egyptian mathematician specializing in Applied Mathematics and Continuum Mechanics. Born in 1973, he currently serves as a Professor at the Mathematics Department, Faculty of Science, South Valley University (SVU), Egypt. He previously held the position of Dean of the Faculty of Computers and Information at Luxor University. He has authored over 300 scientific publications in fields ranging from Engineering to Physics. Prof. Abo-Dahab is also a prolific reviewer and editorial board member of international journals. His work has garnered widespread recognition and numerous awards in Egypt and globally.

 

profile

Scholar

šŸŽ“ Education:

Prof. Elsayed M. Abo-Dahab received his Bachelor’s degree in Mathematics from South Valley University (SVU), Egypt. In 2001, he earned his Masterā€™s degree in Applied Mathematics from SVU. He pursued a Ph.D. in Applied Mathematics from Assiut University, Egypt, completing it in 2005. He became an Assistant Professor in Applied Mathematics in 2012 and a full Professor in 2017. In 2020, Prof. Abo-Dahab earned a prestigious D.Sc. in Physics and Mathematics. His academic journey reflects a strong foundation in mathematical principles and research, with a focus on elasticity, thermoelasticity, and fluid mechanics.

šŸ¢ Experience:

Prof. Abo-Dahab has extensive academic and leadership experience. He currently serves as a Professor of Applied Mathematics at SVU. He has also served as the Dean of the Faculty of Computers and Information at Luxor University. As a researcher, Prof. Abo-Dahab has contributed over 300 scientific publications, spanning disciplines such as biology, geology, and plasma physics. His work includes roles on the editorial boards of 10 international journals and as a reviewer for 130 journals in solid mechanics and applied mathematics. He has presented at over 25 international conferences and has authored multiple textbooks.

šŸ† Awards and Honors:

Prof. Abo-Dahab has received several prestigious awards. He was honored with the South Valley University Incentive Prize in 2011 and the Professor Dr. Amin Lotfy Prize in Mathematics in 2014. In 2015, he received the State Incentive Prize in Mathematical Sciences from Egyptā€™s Academy of Scientific Research and Technology (ASRT). His most recent award, in 2020, was the Excellence Prize from SVU in Basic Sciences. These awards recognize his significant contributions to mathematics, his dedication to research, and his role in advancing the field of applied mathematics in Egypt and beyond.

šŸ” Research Focus:

Prof. Abo-Dahabā€™s research focuses on several key areas in Applied Mathematics and Continuum Mechanics. He specializes in elasticity, thermoelasticity, and fluid mechanics, with particular interest in fiber-reinforced materials and magnetic fields. His interdisciplinary work spans a wide range of applications, including engineering, biology, geology, and acoustics. His contributions in solid mechanics, mathematical modeling, and plasma research have been widely cited in scholarly articles and textbooks. Prof. Abo-Dahab has also contributed to environmental physics and material science, providing valuable insights into complex mathematical and physical systems.

Publications Top Notes:

 

  • Chemical Reaction and Thermal Radiation on Heat and Mass Transfer in MHD Micropolar Flow
    • Published in: International Journal of Thermal Sciences (2009)

 

  • MHD Casson Nanofluid Flow with Suction/Injection
    • Published in: Indian Journal of Physics (2021)

 

  • Influence of Hybrid Nanoparticles on Porous Shrinking Sheets
    • Published in: Journal of Thermal Analysis and Calorimetry (2022)

 

  • Finite Element Analysis of Hydromagnetic Flow in Non-Darcian Porous Media
    • Published in: Communications in Nonlinear Science and Numerical Simulation (2009)

 

  • Peristaltic Flow of Micropolar Fluid with Rotation and Magnetic Field
    • Published in: Journal of Magnetism and Magnetic Materials (2013)

 

  • Two-temperature Problem in a Semiconducting Medium
    • Published in: Waves in Random and Complex Media (2017)

 

  • Two-dimensional Generalized Thermoelasticity Problem
    • Published in: Journal of Computational and Theoretical Nanoscience (2015)

 

  • Generalized Thermoelastic Thin Slim Strip under Laser Beams
    • Published in: Symmetry (2020)

 

  • Magnetic Field and Rotation Effects on Jeffrey Fluid in Asymmetric Channels
    • Published in: Journal of Magnetism and Magnetic Materials (2015)

 

  • Rayleigh Waves in Magnetoelastic Orthotropic Materials
    • Published in: Applied Mathematics and Computation (2004)

 

 

 

Chi Ma | Mechanical Design | Best Scholar Award

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Assoc Prof Dr. Chi Ma ā€Œ | Mechanical Design|Best Scholar AwardĀ 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

šŸ“šEducationĀ 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

āœØ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

šŸ§‘ā€šŸ”¬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

šŸ… Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

šŸ“Š Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes šŸ“

 

  1. šŸ“„ Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. šŸ“„ Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    šŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. šŸ“„ Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    šŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. šŸ“„ Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    šŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. šŸ“„ Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. šŸ“„ Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    šŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. šŸ“„ Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    šŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. šŸ“„ Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    šŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. šŸ“„ Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    šŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. šŸ“„ Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.