Abdul Faiz Ansari | Computational Methods | Best Researcher Award

Mr. Abdul Faiz Ansari | Computational Methods | Best Researcher Award

👨‍🎓 Profile

🎓 Early Academic Pursuits

Mr. Abdul Faiz Ansari’s journey in academia began with an exceptional foundation in mathematics, starting from his high school and intermediate education under the U.P. Board, India. He pursued a B.Sc. and M.Sc. in Mathematics at the University of Lucknow, achieving milestones in 2015 and 2017, respectively. His doctoral research, initiated in December 2020, revolves around the study of fluid flow through porous media a testament to his passion for unraveling mathematical complexities.

💼 Professional Endeavors

Currently serving as a Senior Research Fellow and doctoral candidate at the University of Lucknow, Abdul has gained experience in teaching undergraduate mathematics courses. His dedication is evident through his involvement in courses such as Mathematical Methods, Mechanics, and Differential Calculus. His NET and GATE qualifications, along with his JRF achievement in 2022, solidify his expertise in advanced mathematics.

🔬 Contributions and Research Focus

Abdul Faiz Ansari’s research focus primarily revolves around fluid mechanics and variational analysis. His dissertation delves into the Darcy-Brinkman models, studying anisotropic porous channels under external influences like magnetic fields and rotation. His work has produced a series of impactful publications, contributing to key journals such as the Journal of Porous Media and Journal of Computational and Theoretical Transport. His research not only deepens understanding of fluid behavior but also has significant applications in fields like hydrology, petroleum engineering, and environmental science.

🌟 Impact and Influence

Abdul Faiz Ansari’s research has contributed significantly to understanding Darcy-Brinkman models and anisotropic porous channels, impacting real-world applications. He has presented papers at international conferences, including those organized by institutions like NIT Tiruchirappalli and the University of Delhi, further establishing his presence in the academic community.

📚 Academic Citations

Abdul has co-authored numerous Scopus-indexed papers in areas such as MHD flows, Couette flows, and variational inequalities, contributing to advancements in both theoretical and applied mathematics. Notable publications include works on Darcy-Brinkman flow in rotating systems and the Cayley-Yosida inclusion problem. His research demonstrates a profound ability to bridge gaps between pure and applied mathematical disciplines.

🛠️ Technical Skills

Abdul is proficient in Mathematica, with over five years of experience, and MATLAB, with two years of expertise. He has been an avid user of LaTeX for document preparation for more than seven years, showcasing his technical prowess in mathematical computations and academic writing.

👨‍🏫 Teaching Experience

Abdul Faiz’s teaching experience showcases his ability to simplify complex concepts for students. As a teacher in Mathematical Methods, Mechanics, and other fundamental subjects, he has been responsible for helping students build a solid foundation in mathematics and physics. His ability to engage students in conceptual understanding has earned him praise, and his teaching contributions align well with his research expertise.

Top Noted Publications

Effect of Magnetic Field on Darcy-Brinkman Flow Through Rotating Porous Channel System
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Special Topics & Reviews in Porous Media: An International Journal
    • Year: 2024
Effect of Magnetic Field and Slip Conditions on Flow in a Rotating Porous Channel With Viscous Dissipation
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Heat Transfer
    • Year: 2024
Couette Flow of Micropolar Fluid in a Channel Filled with Anisotropic Porous Medium
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Archive of Mechanical Engineering
    • Year: 2024
Darcy-Brinkman Flow in an Anisotropic Rotating Porous Channel Under the Influence of Magnetic Field
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Journal of Porous Media
    • Year: 2024
Generalized Regularized Gap Functions and Error Bounds for Generalized Vector Variational-like Inequalities
    • Authors: Abdul Faiz Ansari
    • Journal: Applied Set-Valued Analysis and Optimization
    • Year: 2022

 

 

 

Maurizio Dapor| Computational Methods | Best Researcher Award

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.

📚Publication 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-Pawłowska, 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

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.

📚Publication 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

 

 

Santiago Felipe Luna Romero | Computational Science Award | Computational Science Industry Innovation Award

Assist Prof Dr. Santiago Felipe Luna Romero, Computational Science, Computational Science Industry Innovation Award

PHD at Pontifícia Universidade Católica do Paraná, Brazil

Santiago Felipe Luna Romero is a prominent AI Expert and Data Scientist based in Curitiba, Paraná, Brazil. Currently a PhD Candidate at Pontifícia Universidade Católica do Paraná, his research focuses on health technology innovation. Santiago excels in Python, PyTorch, and TensorFlow, leading AI projects within smart city initiatives. As an Artificial Intelligence Engineer at Automa Vision, he spearheads the development of computer vision models for smart city applications, including drone imagery for urban feature detection. With a Master’s Degree in AI from Universidad Internacional de La Rioja and extensive experience in research and development, Santiago is passionate about applying his skills to create transformative AI architectures aligned with strategic objectives

Professional Profiles:

Googlescholar profile

LinkedIn profile

 

Educational Background:📚

Santiago’s educational journey includes a Doctor of Philosophy (PhD) candidacy in Artificial Intelligence at Pontifícia Universidade Católica do Paraná, where his research encompasses data analytics, problem-solving, and the application of AI in healthcare. He also holds a Master’s Degree in Artificial Intelligence from Universidad Internacional de La Rioja (UNIR), where he focused on data analytics, problem-solving, and research and development with an emphasis on natural language processing and AI model training for language processing. Furthermore, Santiago earned a Master’s Degree in Electronic Systems Engineering from Universidad Politécnica Salesiana and completed a Bachelor’s Degree in Electrical and Electronic Engineering at the same institution, laying the foundation for his career in AI and electronics.

Academia Background

Santiago has a strong background in both academia and industry, having worked in various roles that showcase his versatility and leadership capabilities. Currently serving as an Artificial Intelligence Engineer at Automa Vision since March 2022, he leads the development of computer vision models for smart city applications, focusing on drone imagery for urban feature detection and segmentation. In this role, Santiago collaborates closely with cross-disciplinary teams, provides project leadership, and continuously innovates in AI and computer vision technologies.

Professional Experience:

Prior to his current role, Santiago worked as a Researcher at Universidad Politécnica Salesiana del Ecuador, where he collaborated on developing an intelligent support system for Vitiligo assessment. He also served as the Systems Department Coordinator at Federacion deportiva del Guayas, supporting IT systems, software, and hardware enhancements. Santiago has experience as a Project Engineer at Elsystec S.A., where he was involved in designing, assembling, and commissioning electrical, automation, and field instrumentation projects. Additionally, he worked as a Researcher in Energy Systems at Universidad Politécnica Salesiana del Ecuador, focusing on energy systems research and sustainable energy solutions.

Professional Skills:

Passionate about applying his skills to develop and implement transformative AI architectures, Santiago is committed to aligning these architectures with business goals to foster growth. His diverse experience, coupled with his comprehensive skill set, positions him as a valuable asset in the rapidly evolving field of artificial intelligence and data science.

Research Focus:

Santiago Felipe Luna Romero’s research primarily focuses on advancing energy systems and artificial intelligence. His expertise spans various domains, including anomaly detection in electrical consumption profiles, solar irradiation capture optimization, and innovative applications such as domotics control tools and sign language recognition systems. Santiago’s work integrates computational intelligence, adaptive filtering techniques, and neural networks to enhance signal processing in fields like electromyography (EMG). Furthermore, he contributes significantly to the development of urban digital twins, AI models for inclusivity, and transfer learning models for country border security. Santiago’s multidisciplinary approach highlights his commitment to driving technological innovation across diverse research areas.

Publications (TOP NOTES)

5to. Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad. Memoria académica–Sign language recognition system using MYO ARMBAND and neural network, Cited by 1, Publication date: 2021.
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