Maurizio Dapor| Computational Methods | Best Researcher Award

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Dr. Maurizio Dapor| Computational Methods | Best Researcher Award

Physicist at Fondazione Bruno Kessler, Italy

Maurizio Dapor is an esteemed Italian physicist and Senior Research Scientist at the Interdisciplinary Laboratory for Computational Science at ECT*-FBK. Born on April 23, 1959, he has made significant contributions to both theoretical and experimental physics. With dual habilitations as a Full Professor in these fields, Dapor has been pivotal in advancing computational methods in materials science. His role as an Associate Editor for Computational Materials Science and various visiting professorships across Europe further exemplify his commitment to research and education. Recognized as one of Stanford’s Top 2% Scientists, his work continues to impact the scientific community.

 🎓Profile: 

Education:

Dapor earned his M.Sc. in Physics with Summa Cum Laude from the University of Trento in 1984. He later pursued a Ph.D. in Materials Science and Engineering from the same institution, completing it in 2013. His educational journey began at Liceo Antonio Rosmini, where he graduated with a High School Diploma in 1978. This strong academic foundation has enabled him to excel in various roles in academia and research, contributing extensively to the scientific understanding of materials and their applications.

Professional Experience:

With over three decades of experience, Dapor has held key positions, including Senior Scientist at ECT* and Head of the FBK Interdisciplinary Laboratory for Computational Science. He has served as a Teaching Fellow at the University of Trento, focusing on Solid State Physics and Computational Methods. His international experience includes visiting professorships at Gdansk University of Technology and the University of Sheffield, enhancing his global academic profile. Additionally, Dapor has contributed as a scientific consultant at ETH Zurich, reinforcing his expertise in computational materials research and development.

Research Focus:

Maurizio Dapor’s research primarily centers on computational science and its application to materials physics. He investigates complex phenomena in solid-state systems and develops innovative computational methods to enhance our understanding of material properties. His work addresses critical challenges in transport phenomena and aims to bridge theoretical insights with practical applications. By focusing on interdisciplinary collaborations, Dapor’s research not only advances theoretical frameworks but also contributes to the development of cutting-edge materials for various technological applications.

Awards and Honors:

Dapor’s contributions to physics and materials science have earned him notable recognition, including the distinction of being listed among Stanford’s Top 2% Scientists. His academic achievements are further highlighted by two National Scientific Habilitations as a Full Professor in both Theoretical and Experimental Physics of Matter. His work as an Associate Editor for Frontiers in Materials demonstrates his leadership in advancing the field. These accolades reflect his dedication to research excellence and his influence on the scientific community.

đź“šPublication Top Notes:

Title: Charge Phenomena in the Elastic Backscattering of Electrons from Insulating Polymers
  • Authors: Dapor, M.
    Publication Year: 2024
    Citations: 0
Title: Electron-induced hydrogen desorption from selected polymers (polyacetylene, polyethylene, polystyrene, and polymethyl-methacrylate)
  • Authors: Dapor, M.
    Publication Year: 2024
    Citations: 1
Title: The role of low-energy electrons in the charging process of LISA test masses
  • Authors: Taioli, S., Dapor, M., Dimiccoli, F., Villani, M., Weber, W.J.
    Publication Year: 2023
    Citations: 11
Title: Mechanical Properties of Twisted Carbon Nanotube Bundles with Carbon Linkers from Molecular Dynamics Simulations
  • Authors: Pedrielli, A., Dapor, M., Gkagkas, K., Taioli, S., Pugno, N.M.
    Publication Year: 2023
    Citations: 6
Title: The Role of Molecular Structure in Monte Carlo Simulations of the Secondary Electron Yield and Backscattering Coefficient from Methacrylic Acid
  • Authors: Wiciak-PawĹ‚owska, K., Winiarska, A., Taioli, S., Franz, M., Franz, J.
    Publication Year: 2023
    Citations: 0
Title: Spin-polarization after scattering
  • Authors: Dapor, M.
    Publication Year: 2023
    Citations: 1
Title: In search of the ground-state crystal structure of Ta2O5 from ab initio and Monte Carlo simulations
  • Authors: Pedrielli, A., Pugno, N.M., Dapor, M., Taioli, S.
    Publication Year: 2023
    Citations: 5

 

 

 

D. Easwaramoorthy | Computational Methods | Best Researcher Award

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Assoc Prof Dr. D. Easwaramoorthy | Computational Methods | Best Researcher Award

Associate Professor at Vellore Institute of Technology, Vellore, India

Dr. D. Easwaramoorthy is an Associate Professor in the Department of Mathematics at Vellore Institute of Technology, Tamil Nadu, India. With a passion for mathematics and education, he has dedicated over 11 years to teaching and nurturing the next generation of mathematicians. Dr. Easwaramoorthy’s commitment to academic excellence is evident through his extensive research and publication record, which has earned him recognition both nationally and internationally. He actively engages in interdisciplinary research and is known for his contributions to fuzzy mathematics and fractal analysis.

🎓Profile:

Education:

Dr. Easwaramoorthy holds a Ph.D. in Mathematics from The Gandhigram Rural Institute, where he completed his thesis on Fuzzy Fractal Analysis with Applications. He earned his M.Sc. in Mathematics from Bharathidasan University with a focus on the Stone-Weierstrass Theorem, achieving a commendable 79.5%. His academic journey began with a B.Sc. in Mathematics from Bishop Heber College, where he excelled with 82%. His educational qualifications reflect a strong foundation in mathematical principles, further enhanced by various certifications in advanced topics, including machine learning and data science.

Professional Experience:

Dr. Easwaramoorthy has over 16 years of research experience and 11 years of teaching experience. He began his academic career as a Junior Assistant Professor at Vellore Institute of Technology and has progressed to his current role as an Associate Professor. Throughout his tenure, he has taught various courses, including Discrete Mathematics, Graph Theory, and Machine Learning. His role as a Ph.D. guide demonstrates his commitment to mentoring aspiring researchers. Dr. Easwaramoorthy’s experience is complemented by participation in international conferences and collaborative projects, enhancing his profile as a well-rounded academic.

Research Focus:

Dr. Easwaramoorthy’s research primarily focuses on Fractal Analysis, Fuzzy Mathematics, and Signal and Image Analysis. His notable work includes publications in peer-reviewed journals and contributions to various academic books. He is particularly interested in applying mathematical concepts to real-world problems, emphasizing the significance of fuzzy logic and fractals in various domains. His involvement in a UGC-funded project exploring chaotic dynamics in the human brain demonstrates his interdisciplinary approach to research. Dr. Easwaramoorthy continues to explore new frontiers in mathematics, aiming to contribute to both theoretical and applied mathematics.

Awards and Honors:

Dr. Easwaramoorthy has received several accolades for his contributions to mathematics, including the Young Scientist Award at the International Scientist Awards on Engineering, Science, and Medicine. He qualified for the Tamil Nadu State Eligibility Test (TNSET) in 2017, showcasing his proficiency in mathematical sciences. Additionally, he was awarded the GRI-Fellowship at The Gandhigram Rural Institute, further recognizing his academic achievements. His accolades reflect not only his research excellence but also his commitment to fostering a culture of academic achievement and innovation.

đź“šPublication Top Notes:

Generation of Fractals via Iterated Function System of Kannan Contractions in Controlled Metric Space
    • Authors: Thangaraj, C., Easwaramoorthy, D., Selmi, B., Chamola, B.P.
    • Year: 2024
    • Citations: 6
Enumeration of Multivariate Independence Polynomial for Iterations of Sierpinski Triangle Graph
    • Authors: Nithiya, K.S., Easwaramoorthy, D.
    • Year: 2024
    • Citations: 0
Multifractal Detrended Fluctuation Analysis on COVID-19 Dynamics
    • Authors: Dhanzeem Ahmed, M., Easwaramoorthy, D., Selmi, B., Darabi, S.
    • Year: 2023
    • Citations: 1
An Integrated Perspective of Fractal Time Series Analysis for Infected Cases of COVID-19
    • Authors: Gowrisankar, A., Easwaramoorthy, D., Valarmathi, R., Ananth, C., Vasiliev, I.
    • Year: 2023
    • Citations: 0
Fractal Based Automatic Detection of Complexity in COVID-19 X-ray Images
    • Authors: Thangaraj, C., Easwaramoorthy, D., Muhiuddin, G., Selmi, B., Kulish, V.
    • Year: 2023
    • Citations: 0
Fractals via Controlled Fisher Iterated Function System
    • Authors: Thangaraj, C., Easwaramoorthy, D.
    • Year: 2022
    • Citations: 2
Generalized Fractal Dimensions Based Comparison Analysis of Edge Detection Methods in CT Images for Estimating the Infection of COVID-19 Disease
    • Authors: Thangaraj, C., Easwaramoorthy, D.
    • Year: 2022
    • Citations: 9

 

 

Jamil Abbas Haider | Computational Methods | Best Researcher Award

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Mr. Jamil Abbas Haider | Computational Methods | Best Researcher Award

Research assistant at Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan.

Jamil Abbas Haider is a distinguished expert in Computational Fluid Dynamics (CFD) with a strong emphasis on integrating artificial intelligence into fluid simulations. Based in Lahore, Pakistan, he specializes in mechanical and biomedical applications, particularly focusing on blood flow dynamics, aerosol transmission, and heat transfer. Jamil is proficient in several programming languages, including C++ and Python, and is passionate about using CFD to address real-world challenges. His academic journey reflects a commitment to research and education, which has significantly impacted both his students and the broader scientific community.

Profile:

Education:

Jamil holds a Master of Science in Mathematics from COMSATS University Islamabad, where he excelled in courses on scientific computing, fluid dynamics, and numerical analysis, achieving a final grade of 3.75/4.00. He also earned an M.Sc. in Mathematics from Government College University Faisalabad, focusing on applied mathematics, with a thesis on thermodynamics and fluid mechanics. His educational background is further supported by a Bachelor of Science degree in Mathematics and Physics, where he built a strong foundation in calculus, differential equations, and physics principles.

Professional Experience:

Jamil has served as a Higher Education Assistant Researcher at the Abdus Salam School of Mathematical Sciences, where he pioneered research in CFD and applied mathematics, leading to publications in Q1 journals. Prior to this, he worked as a Research Scientist at Quaid-i-Azam University, developing innovative methods for solving complex partial differential equations. His experience also includes mentoring students and enhancing teaching strategies, which resulted in significant improvements in student performance. Jamil’s professional journey reflects a dedication to academic excellence and research innovation.

Research Focus:

Jamil’s research focuses on Computational Fluid Dynamics, particularly in turbulence modeling and fluid-structure interaction. He explores the integration of AI to enhance predictions related to blood flow dynamics and aerosol transmission. His work addresses complex challenges in heat transfer and multiphase flows, contributing valuable insights into both mechanical and biomedical applications. Jamil is committed to advancing the field through innovative methodologies and rigorous numerical analysis, ensuring his research has practical implications for real-world problems.

Awards and Honors:

Jamil’s contributions to academia and research have been recognized through various awards. He received a Laptop Award from the Government of Pakistan during his Master’s studies and was honored as the Best Researcher at the Abdus Salam School of Mathematical Sciences in 2024. His ability to publish in prestigious journals and his commitment to innovative teaching practices underscore his impact in the field of mathematics and fluid dynamics, highlighting his potential for future accolades.

Publication Top Notes:

  • Title: Dynamics of the Rabinowitsch fluid in a reduced form of elliptic duct using finite volume method
    Authors: J.A. Haider, S. Ahmad
    Publication Year: 2022
    Citations: 33
  • Title: The modified KdV equation for a nonlinear evolution problem with perturbation technique
    Authors: S. Asghar, J.A. Haider, N. Muhammad
    Publication Year: 2022
    Citations: 27
  • Title: Insight into the dynamics of the Rabinowitsch fluid through an elliptic duct: Peristalsis analysis
    Authors: S. Nadeem, J. Abbas Haider, S. Akhtar, A. Mohamed
    Publication Year: 2022
    Citations: 26
  • Title: Computation of thermal energy in a rectangular cavity with a heated top wall
    Authors: J.A. Haider, N. Muhammad
    Publication Year: 2022
    Citations: 22
  • Title: Numerical simulations of convective heat transfer of a viscous fluid inside a rectangular cavity with heated rotating obstacles
    Authors: S. Nadeem, J.A. Haider, S. Akhtar, S. Ali
    Publication Year: 2022
    Citations: 22
  • Title: Insight into the study of some nonlinear evolution problems: Applications based on Variation Iteration Method with Laplace
    Authors: J.U. Rahman, A. Mannan, M.E. Ghoneim, M.F. Yassen, J.A. Haider
    Publication Year: 2023
    Citations: 21
  • Title: Travelling wave solutions of the third-order KdV equation using Jacobi elliptic function method
    Authors: J.A. Haider, S. Asghar, S. Nadeem
    Publication Year: 2023
    Citations: 20
  • Title: Mathematical analysis of flow passing through a rectangular nozzle
    Authors: J.A. Haider, N. Muhammad
    Publication Year: 2022
    Citations: 20
  • Title: Insight into the study of natural convection heat transfer mechanisms in a square cavity via finite volume method
    Authors: J.A. Haider, N.A. Ahammad, M.N. Khan, K. Guedri, A.M. Galal
    Publication Year: 2023
    Citations: 18
  • Title: Insightful study of the characterization of the Cobalt oxide nanomaterials and hydrothermal synthesis
    Authors: M.Y. Raza, J.A. Haider, N.A. Ahammad, K. Guedri, A.M. Galal
    Publication Year: 2023
    Citations: 15

 

 

 

 

Suhai Masda | Computational Methods | Best Researcher Award

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Assist Prof Dr. Suhai Masda | Computational Methods | Best Researcher Award 

Assist Prof at Mahrah University, Yemen

Suhail Gumaan Saad Masda is an esteemed Yemeni astrophysicist currently serving as the Vice President for Higher Studies and Scientific Research at Mahrah University, Yemen. Born on January 1, 1983, in Al-Mahrah, Yemen, Dr. Masda has pursued a career in academia and research with a specialization in astrophysics, focusing on the study of stellar systems. His significant contributions to astrophysical research, particularly in the spectroscopic and photometric solutions for close binary stars, have garnered him international recognition. He has actively participated in various scientific conferences, contributing to both local and international research communities. Dr. Masda has received multiple awards for his scientific achievements, including being honored as a young scientist in 2020. In addition to his academic work, he has been an editor and referee for high-ranking astrophysics journals.

Profile:

Education:

Suhail Masda holds a Ph.D. in Physics (Astrophysics) from Dr. Babasaheb Ambedkar Marathwada University in India (2017–2021), where he focused on spectroscopic and photometric analyses of young close binary stars. His dissertation titled “Spectroscopic and Photometric Solutions for Young Close Binary Stars Using Atmospheric Modelling” reflects his expertise in this specialized field. Prior to his Ph.D., he earned a Master of Science (M.Sc.) degree in Physics (Astrophysics) from Yarmouk University, Jordan (2009–2012), with a thesis on the physical and geometrical elements of the visual close binary system HIP 689. He also holds a Bachelor of Science (B.Sc.) in Physics from Yarmouk University (2004–2008), complemented by a diploma in Computer Information Systems (2006–2008). His education was supported by scholarships from Yemen’s Ministry of Higher Education.

Professional experience:

Dr. Suhail Masda has held multiple academic and administrative positions throughout his career. Since April 2023, he has been the Vice President for Higher Studies and Scientific Research at Mahrah University, Yemen. Before that, he served as the Head of the Physics Department at Hadhramout University (2021–2023), where he was also an Assistant Professor of Physics since 2021. His earlier academic roles include a full-time lecturer at Hadhramout University from 2013 to 2015 and a part-time lecturer at Yarmouk University in 2012–2013. Dr. Masda has taught a wide range of physics courses, including Quantum Mechanics, Modern Physics, Thermodynamics, and Mathematical Physics. His leadership extends beyond the classroom, having served as an editor for multiple scientific journals and as a referee for high-impact publications in the fields of astrophysics and astronomy.

Research focus:

Dr. Suhail Masda’s research focuses on the astrophysical study of multi-star systems, particularly close binary, triple, and quadruple star systems. His expertise lies in spectroscopic and photometric analyses, where he investigates the physical and geometrical properties of these stellar systems, along with their formation and evolution. He is proficient in developing synthetic models to understand the orbital motions and mass distribution within these systems. His recent work has centered on using atmospheric modeling to derive precise stellar parameters, including modified masses and parallaxes of visual binary stars. Dr. Masda’s research is not only pivotal to understanding the dynamics of young close binary stars but also contributes significantly to the broader field of space sciences. His efforts to improve the accuracy of orbital and physical parameters of stellar systems have positioned him as an influential researcher in the field of astrophysics.

Awards and Honors:

Dr. Suhail Masda has received several prestigious awards for his contributions to astrophysical research. In 2020, he was honored with the “Young Scientist Award” at the 10th International Science Awards on Engineering, Science, and Medicine in Hyderabad, India. In recognition of his groundbreaking research, he was also awarded the Shield of Outstanding Researcher from Hadhramout University in 2022. Additionally, his Ph.D. dissertation was nominated for the Best Ph.D. Dissertation Award among Arabic world universities in 2022. Dr. Masda is an active member of various professional organizations, including the Supreme Council of the Arab Union for Space and Astronomy and the VDGOOD Professional Association. His commitment to advancing space sciences has earned him a reputation as one of Yemen’s leading astrophysicists, with a focus on the spectroscopic and photometric properties of stellar systems.

Publication Top Notes:

  • Title: Speckle interferometric binary system HD375; Is it a sub-giant binary?
    Authors: MA Al-Wardat, YY Balega, VV Leushin, NA Yusuf, AA Taani, KS Al-Waqfi, …
    Publication Year: 2014
    Citations: 29
  • Title: YETI observations of the young transiting planet candidate CVSO 30 b
    Authors: S Raetz, TOB Schmidt, S Czesla, T Klocová, L Holmes, R Errmann, …
    Publication Year: 2016
    Citations: 28
  • Title: Physical and dynamical parameters of the triple stellar system: HIP 109951
    Authors: SG Masda, JA Docobo, AM Hussein, MK Mardini, HA Al-Ameryeen, …
    Publication Year: 2019
    Citations: 24
  • Title: Physical and geometrical parameters of the binary system gliese 150.2
    Authors: MA Al-Wardat, YY Balega, VV Leushin, RY Zuchkov, RM Abujbha, …
    Publication Year: 2014
    Citations: 23
  • Title: Physical and geometrical parameters of CVBS XI: Cou 1511 (HIP 12552)
    Authors: MA Al-Wardat, MH El-Mahameed, NA Yusuf, AM Khasawneh, SG Masda
    Publication Year: 2016
    Citations: 18
  • Title: Physical and geometrical parameters of CVBS X: the spectroscopic binary Gliese 762.1
    Authors: SG Masda, MA Al-Wardat, R Neuhäuser, HM Al-Naimiy
    Publication Year: 2016
    Citations: 15
  • Title: Orbital and physical parameters of the close binary system GJ 9830 (HIP 116259)
    Authors: SG Masda, MA Al-Wardat, JM Pathan
    Publication Year: 2019
    Citations: 11
  • Title: Physical and geometrical parameters of VCBS XIII: HIP 105947
    Authors: SG Masda, MA Al-Wardat, JKMK Pathan
    Publication Year: 2018
    Citations: 11
  • Title: Stellar parameters of the two binary systems: HIP 14075 and HIP 14230
    Authors: SG Masda, MA Al-Wardat, JM Pathan
    Publication Year: 2018
    Citations: 10
  • Title: Modified orbital parameters, masses and parallaxes for the two close binary stars HD 200325 and HD 220077
    Authors: S Masda, M Al-Wardat
    Publication Year: 2023
    Citations: 5

Conclusion:

Dr. Suhail Masda’s remarkable academic journey, international recognition, leadership roles, and robust research contributions make him a strong candidate for the Best Researcher Award. His work in the field of astrophysics, particularly on binary star systems, is both innovative and influential, advancing our understanding of complex stellar formations. Furthering his collaborations and outreach efforts will bolster his standing as an esteemed researcher in the scientific community.