Ivo Draganov | Numerical modeling | Best Researcher Award

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Mr. Ivo Draganov | Numerical modeling | Best Researcher Award

Assistant Professor at University of Ruse, Bulgaria

Summary:

Dr. Ivo Draganov is an accomplished mechanical engineer and academic with over 15 years of experience in both industry and academia. Currently an Assistant Professor at the University of Ruse “Angel Kanchev,” he combines his extensive knowledge of solid mechanics and structural analysis with a passion for teaching and advancing mechanical engineering research. Dr. Draganov’s expertise in the finite element method and his industrial experience contribute to his reputation as a leading specialist in applied mechanics in Bulgaria.

Professional Profile:

👩‍🎓Education:

Dr. Ivo Draganov earned his Ph.D. in Solid Mechanics from the University of Ruse “Angel Kanchev” in 2005, with his research focusing on the Application of Finite Element Method for Investigation of Stress and Strain State in Helical Bodies. He also holds a Master of Science degree in Mechanical Engineering from the same institution (2001), where he specialized in the finite element method, dynamics of machinery, and structural analysis. His master’s thesis focused on the Calculation of Bus Suspension by the Finite Element Method.

🏢 Professional Experience:

Since 2008, Dr. Draganov has been serving as an Assistant Professor at the University of Ruse “Angel Kanchev” in Bulgaria, where he teaches courses in Applied Mechanics, Mechanics of Materials, Finite Element Method, and Applied Theory of Elasticity and Plasticity. Prior to his academic role, he gained substantial experience in industry at Sparky AD in Ruse, Bulgaria, where he held various positions including Department Manager of Industrial Outsourcing, Outsourcing Coordinator, and Designer-Technologist. His responsibilities ranged from managing subcontractor activities and coordinating outsourcing efforts to preparing technological documentation and introducing new technological solutions for production.

Research Interests:

Dr. Draganov’s primary research interests lie in solid mechanics, particularly the application of the finite element method (FEM) for analyzing stress, strain, and structural behavior in complex materials and mechanical systems. His work includes investigating stress distributions and optimizing mechanical components using FEM, as well as exploring applied theory in elasticity and plasticity.

Author Metrics:

Dr. Draganov has authored and co-authored several research papers and technical reports in solid mechanics, primarily focused on FEM applications and structural optimization. His publications contribute to advancements in stress analysis methodologies and the development of practical solutions for mechanical design. Specific author metrics and publication details can be provided upon request.

Top Noted Publication:

Multi-Criteria Calibration of a Thermo-Mechanical Model of Steel Plate Welding in Vacuum

  • Journal: Journal of Manufacturing and Materials Processing
  • Date: 2024-10-05
  • DOI: 10.3390/jmmp8050225
  • Contributors: Ivo Draganov, Venko Vitliemov, Yuliyan Angelov, Stiliyana Mileva, Nikolay Ferdinandov, Danail Gospodinov, Rossen Radev
  • Description: This study presents a calibrated thermo-mechanical model for steel plate welding under vacuum conditions, using a multi-criteria approach to enhance prediction accuracy and application reliability.

Finite Element Modeling and Verification of the Plunge Stage in Friction Stir Welding

  • Journal: Materials Science Forum
  • Date: 2023-08-28
  • DOI: 10.4028/p-x4FWYY
  • Contributors: Ivo Draganov, Danail Gospodinov, Rossen Radev, Nikolay Ferdinandov
  • Description: This paper explores finite element modeling of the plunge stage in friction stir welding, providing insights into the thermal and mechanical behaviors during the initial welding process.

Comparison of Two Numerical Models for Friction Stir Welding

  • Journal: Defect and Diffusion Forum
  • Date: 2022-05-27
  • DOI: 10.4028/p-xbmg1c
  • Contributors: Ivo Draganov, Nikolay Ferdinandov
  • Description: This study compares two numerical models for friction stir welding, evaluating their efficacy in simulating temperature distribution and material flow during the welding process.

Finite Element Modeling of Laser Aluminum Marking

  • Journal: Journal of Physics: Conference Series
  • Date: 2021
  • DOI: 10.1088/1742-6596/1859/1/012017
  • Contributors: Lazov, L., Angelov, N., Draganov, I., Atanasov, A., Lengerov, A., Teirumnieks, E., Balchev, I.
  • Description: This conference paper focuses on the finite element modeling of laser marking on aluminum surfaces, with an emphasis on optimizing marking quality through controlled parameters.

Conclusion:

Dr. Ivo Draganov’s research achievements and academic contributions make him a strong candidate for the Best Researcher Award. His expertise in finite element modeling, particularly in welding and material behavior, addresses key challenges in mechanical engineering and has significant implications for industrial processes. His unique combination of industry experience and academic leadership adds further value to his contributions, positioning him as an influential researcher in applied mechanics. By continuing to expand his research scope and increase his international visibility, Dr. Draganov can enhance his standing as a leading expert in his field, making him a highly deserving candidate for this award.

 

 

Cinzia Bandiziol | Mathematics | Best Researcher Award

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Ms. Cinzia Bandiziol | Mathematics | Best Researcher Award

Cinzia Bandiziol at University of Padua, Italy

Summary:

Cinzia Bandiziol is a passionate mathematician with a focus on applying mathematical tools in industrial contexts. Currently a Ph.D. student at the University of Padova, her work involves the use of topological data analysis, particularly Persistent Homology, to solve complex problems in Industry 4.0. She brings a deep analytical mindset, precision, and perseverance to her research, traits that have defined her academic and professional journey. With prior experience as a Data Analyst at Texa Spa, Cinzia blends her love for mathematics with practical applications, striving to bridge the gap between theory and industry. In addition to her research, she enjoys volunteering and tutoring students, helping them overcome challenges in mathematics.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Mathematical Sciences
    University of Padova (2022 – Ongoing)
    Research focus on the application of topological tools such as Persistent Homology in the context of Industry 4.0, data analysis, and machine learning.
  • M.Sc. in Mathematics
    University of Padova (2015 – 2018)
    Final Score: 110/110 cum laude
    Thesis: “An extension of FHRI to two-dimensional domains”
  • B.Sc. in Mathematics
    University of Padova (2011 – 2015)
    Final Score: 93/110

🏢 Professional Experience:

  • Ph.D. Student, Mathematical Sciences
    University of Padova (2022 – Present)
    Currently focusing on the application of topological tools, such as Persistent Homology, in industrial applications, including Industry 4.0 and machine learning. Extensive experience in programming, numerical approximation, and optimization techniques.
  • Data Analyst
    Texa Spa, Monastier (2018 – 2021)
    Worked on fleet management reports, analyzing statistical and operational data before presenting findings to clients. This role involved significant work in data management, quality control, and statistical analysis.
  • Academic Tutor
    Supported undergraduate students in Matlab-based courses and assisted professors in grading exams, fostering strong connections with students and encouraging academic success in mathematics.

Research Interests:

Cinzia Bandiziol’s research revolves around the application of advanced mathematical methods in real-world industry scenarios. Her primary interests include:

  • Topological Data Analysis (TDA), specifically the use of Persistent Homology in classification and machine learning.
  • Application of numerical approximation techniques and optimization in industrial systems.
  • Development of adaptive gradient methods for training neural networks.
  • Mathematical techniques in Industry 4.0, focusing on data-driven decision-making and automation.

Author Metrics:

Publications:

  • Bandiziol, C., De Marchi, S. (2019). “On the Lebesgue constant of the trigonometric Floater-Hormann rational interpolant at equally spaced nodes.” Dolomites Research Notes on Approximation, 12.6, 51–67. URL
  • Bandiziol, C., De Marchi, St. (2024). “Persistence Symmetric Kernels for Classification: A Comparative Study.” Symmetry, 16.1236. doi: 10.3390/sym16091236.

Conferences:

  • Presented at several national and international conferences, including seminars in Napoli, Torino, and the University of Padova, on topics such as topological layers in neural networks and classification using TDA.

Top Noted Publication:

1. Persistence Symmetric Kernels for Classification: A Comparative Study

  • Authors: Cinzia Bandiziol, Stefano De Marchi
  • Journal: Symmetry
  • Year: 2024
  • Volume and Issue: 16(9)
  • Article ID: 1236
  • DOI: 10.3390/sym16091236
  • Citations: 0
  • Abstract: This paper conducts a comparative study on the use of Persistence Symmetric Kernels for classification tasks in machine learning, emphasizing the benefits of topological methods.

2. On the Lebesgue Constant of the Trigonometric Floater-Hormann Rational Interpolant at Equally Spaced Nodes

  • Authors: Cinzia Bandiziol, Stefano De Marchi
  • Journal: Dolomites Research Notes on Approximation
  • Year: 2019
  • Volume: 12
  • Pages: 51–67
  • Citations: 2
  • Abstract: The paper analyzes the behavior of the Lebesgue constant in the context of trigonometric Floater-Hormann rational interpolation, providing insights into the accuracy and efficiency of this approximation method.

Conclusion:

Ms. Cinzia Bandiziol is a highly promising candidate for the Best Researcher Award due to her advanced research in the field of Topological Data Analysis and its applications to Industry 4.0. Her strong academic foundation, practical industry experience, and innovative research make her a valuable contributor to both mathematics and industrial problem-solving. Enhancing the impact of her publications and engaging in broader interdisciplinary work will help her establish a stronger presence in the global research community. Nevertheless, her current accomplishments demonstrate significant promise and merit recognition.

 

 

Nasser Metwally | Applied mathematics

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Prof Dr. Nasser Metwally: Leading Researcher in Applied mathematics

🎉 Congratulations Prof Dr. Nasser Metwally on Winning the Most Cited Article Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Professional Profile:

📚 Education:

  • Ph.D. in Mathematics, “Entangled Qubit Pairs,” Muenchen University, Germany (2002).
  • M.Sc., “Mathematics,” “Atomic Hydrogen in Electromagnetic Field,” Faculty of Science, Assuit University, Egypt (1994).
  • B.Sc., Science, “Mathematics,” Aswan Faculty of Science, Assuit University, Egypt (1987).

🏢 Current Positions:

  • Professor, Math. Dept., Faculty of Science, Aswan, Egypt (2015-present).
  • Associate Professor, Department of Mathematics, College of Science, University of Bahrain (Since March 2021).

🔍 Previous Positions:

  • Demonstrator, Faculty of Science, Math. Dept., Aswan University (1987).
  • Assistant Lecturer, Faculty of Science, Aswan (1994).
  • Lecturer (Assistant Professor) at Math. Dept., Faculty of Science, Aswan (2002).
  • Associate Professor, Math. Dept., Faculty of Science, Aswan, Egypt (Nov. 2010).

📜 Accolades:

  • Mohamed Amin Lotfy Award in Mathematics (2011).
  • Among the top 2% scientists in the Stanford University’s List (2020 & 2021).
  • Best Research Award (2022).
  • Obada Prize in Mathematics (2023).

🌐 Activities:

  • Editor, Journal of Applied Mathematics & Sciences.
  • Consultant Member, Master program of quantum information, Faculty of Science, Rabat, Morocco (2010).
  • Researcher, Center for Artificial Intelligence and Robotics (CAIRO) (2009).

📖 Research Field: Quantum optics, including Teleportation, Purification, Entanglement, Cryptography, and Quantum Computing.

📚 Publications Top Noted:

  1. “The efficiency of fractional channels in the Heisenberg,” Chaos, Solitons and Fractals, Volume 172, 113581.
  2. “Multiparameter estimation for a two-qubit system coupled to independent reservoirs using quantum Fisher information,” Quantum Studies: Mathematics and Foundations (Accepted).
  3. “Dynamics of Quantum effects in a three-level system interacting with two-mode time-dependent fields including parametric down-conversion and damping,” Journal of Modern Optics.
  4. “Efficiency increasing of the bidirectional teleportation protocol via weak and reversal measurements,” Phys. Scr. 97 025102.
  5. “Local two-atom correlations induced by a two-mode cavity under nonlinear media: Quantum uncertainty and quantum Fisher information,” Results in Physics, Volume 31, 104975.

📚 Books Contribution:

  1. “Kinematics of qubit pairs,” in “Mathematics of quantum computation” by R. Brylinski, G. Chen.
  2. “Teleportation using a finite pairs of generalized Werner states” in “Aspects of optical since and quantum information” by M. Abdel-Aty.

🏆 Honors and Awards:

  • Award of Mohamed Amin Lotfy in Mathematics (2011).
  • Among the top 2% scientists in the Stanford University’s List (2020 & 2021).
  • Best Research Award (2022).
  • The Award of Obada Prize in Mathematics (2023).