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.

 

 

Ritwik Maiti | Mechanical Engineering | Best Researcher Award

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Dr. Ritwik Maiti | Mechanical Engineering | Best Researcher Award

Assistant Professor at Birla Institute of Technology Mesra, India

Summary:

Dr. Ritwik Maiti is an accomplished researcher in the field of fluid dynamics and granular flow, with a particular emphasis on the behavior of granular materials in various contexts such as silos, open channels, and underground cavities. His work has contributed significantly to understanding the flow of granular media in natural and industrial processes. Dr. Maiti has held prestigious research positions at the National University of Singapore and the University of Sheffield, where he worked on projects ranging from wind-tunnel tests to flow modeling in porous media. He is currently contributing to the academic and research community at Birla Institute of Technology Mesra, where he continues his innovative research on granular flows and their interactions with fluid dynamics.

Professional Profile:

👩‍🎓Education:

Dr. Ritwik Maiti is an Assistant Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, Ranchi. He earned his Ph.D. in Mechanical Engineering from the Indian Institute of Technology Kharagpur (2011–2017), where his research focused on the dynamics of dense granular flows through silos, closed channels, and open channels. Dr. Maiti holds a Master of Engineering (M.E.) in Heat Power Engineering from Jadavpur University, Kolkata (2009–2011), and a Bachelor of Technology (B.Tech) in Mechanical Engineering from Kalyani Government Engineering College, West Bengal (2008).

🏢 Professional Experience:

Dr. Maiti has extensive research experience in both mechanical and civil engineering. From 2018 to 2021, he was a Research Fellow with the Fluid Mechanics Research Group at the National University of Singapore, where he worked on projects related to wind-tree interaction and the minimization of granular mixture segregation. Prior to this, he was a Research Associate at the University of Sheffield (2017–2018), where he focused on modeling flow through porous granular media as part of the Geotechnical Engineering Research Group. His professional expertise includes the design and development of experimental fluid flow facilities and the handling of advanced equipment such as high-speed cameras, particle image velocimetry, and particle analyzers.

Research Interests:

Dr. Maiti’s research interests lie at the intersection of fluid mechanics and granular flow. His areas of focus include:

  • Experimental Fluid Dynamics
  • Granular Flow Dynamics
  • Geophysical Flows and Avalanches
  • Granular Mixing and Segregation
  • Fluid-Structure Interaction
  • Impact Crater Analysis
  • Underground Cavity Collapse
  • Multiphase Flows
  • Discrete Element Model (DEM)
  • Computational Fluid Dynamics (CFD) and CFD-DEM Coupling

He is also skilled in high-speed photography, image processing, and the use of software such as Matlab, Autocad, and LIGGGHTS for simulation and analysis.

Author Metrics:

Dr. Maiti has published numerous articles in international journals and conferences, including:

  • 10 publications in top-tier journals such as Physics of Fluids, Powder Technology, and AIChE Journal.
  • Contributions to leading conferences such as the International Conference on Fluid Mechanics and Fluid Power and the International Conference on Multiphase Flow.
  • A book chapter published by Springer in 2017.
  • Several research papers currently under review in journals like Powder Technology and Ocean Engineering.

Dr. Maiti’s research on granular dynamics has garnered significant attention in his field, contributing valuable insights into both theoretical models and practical applications.

Top Noted Publication:

Experiments on Eccentric Granular Discharge from a Quasi-Two-Dimensional Silo

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: Powder Technology
  • Volume: 301
  • Pages: 1054-1066
  • Year: 2016
  • Citations: 35
  • Summary: This study presents experimental investigations on granular discharge from a quasi-two-dimensional silo with an eccentric outlet. The paper discusses the flow behavior, discharge rates, and the formation of patterns in the granular material as it exits the silo. The experiments provide a detailed understanding of the flow field dynamics during eccentric discharge.

Granular Drainage from a Quasi-2D Rectangular Silo through Two Orifices Symmetrically and Asymmetrically Placed at the Bottom

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: Physics of Fluids
  • Volume: 29 (10)
  • Year: 2017
  • Citations: 25
  • Summary: This research explores the granular flow through a rectangular silo with two bottom orifices, placed both symmetrically and asymmetrically. The work examines how different placement configurations of the orifices affect the flow and drainage dynamics of granular materials, contributing valuable insights into granular discharge mechanics.

Flow Field During Eccentric Discharge from Quasi-Two-Dimensional Silos—Extension of the Kinematic Model with Validation

  • Authors: R. Maiti, S. Meena, P.K. Das, G. Das
  • Journal: AIChE Journal
  • Volume: 62 (5)
  • Pages: 1439-1453
  • Year: 2016
  • Citations: 19
  • Summary: This paper extends a kinematic model to describe the flow field during eccentric discharge from a quasi-2D silo. The study provides experimental validation of the model and offers insights into the flow patterns and velocity fields of granular materials, expanding the understanding of discharge processes in industrial and natural granular systems.

Cracking of Tar by Steam Reforming and Hydrogenation: An Equilibrium Model Development

  • Authors: R. Maiti, S. Ghosh, S. De
  • Journal: Biomass Conversion and Biorefinery
  • Volume: 3
  • Pages: 103-111
  • Year: 2013
  • Citations: 6
  • Summary: This paper focuses on developing an equilibrium model for tar cracking using steam reforming and hydrogenation. The study addresses the challenges associated with tar removal in biomass gasification and proposes a model to predict the outcomes of chemical reactions involved in the process.

Self-Organization of Granular Flow by Basal Friction Variation: Natural Jump, Moving Bore, and Flying Avalanche

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: AIChE Journal
  • Volume: 69 (1)
  • Article: e17943
  • Year: 2023
  • Citations: 2
  • Summary: This recent study investigates the self-organization phenomena in granular flows due to variations in basal friction. The paper describes natural jumps, moving bores, and flying avalanches in granular media, providing key insights into the mechanics of granular flow and segregation.

Conclusion:

Dr. Ritwik Maiti’s contributions to fluid dynamics and granular flow research, particularly in areas like silo flows and porous media, make him a strong candidate for the Best Researcher Award. His published work demonstrates both depth and innovation in key fields of mechanical engineering, and his international experience enhances his profile. While expanding his research into more applied fields and taking on greater leadership roles could strengthen his application, his current contributions to science are exceptional, positioning him well for recognition in the field of mechanical engineering research.

 

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).