Kerem Mertoğlu | Computational Methods | Best Researcher Award

Assist. Prof. Dr. Kerem Mertoğlu | Computational Methods | Best Researcher Award

Professor (Assistant) at Usak University, Turkey

👨‍🎓 Profiles

Google scholar

Scopus

🧑‍🔬📚Summary

Dr. Kerem Mertohğlu is an Assistant Professor with expertise in horticultural science, focusing on fruit cultivation and breeding. His research spans a range of topics including fruit disease resistance, plant biochemistry, and sustainable agriculture practices. He is active in national and international projects and has contributed to numerous publications in reputable journals. 🧑‍🔬📚

Education

  • Doctoral Degree (2017) in Horticulture, specializing in Fruit Breeding and Cultivation 🌿🎓

Professional Experience

  • Assistant Professor, Usak University, Faculty of Agriculture (2023 – Present) 🍏
  • Researcher, Various National and International Research Projects 📊
  • Visiting Researcher, Leibniz University, Germany (2021-2022) 🌍

Research Interests

  • Fruit Breeding & Cultivation 🍎🍇
  • Plant Disease Resistance (e.g., Erwinia amylovora in pear) 🌾🔬
  • Phytochemical Characteristics & Antioxidant Activity in fruits 🍒
  • Impact of Environmental Factors (e.g., altitude on fruit quality) 🌄
  • Sustainable Agricultural Practices and Post-Harvest Technology 🍃

Key Projects

  • Strengthening Social Capital for Rural Development (EU Project) 🌍
  • Development of Liquid Chromatography for Organic Acid Detection (National Project) 🔬

Top Noted Publications

Screening and classification of rosehip (Rosa canina L.) genotypes based on horticultural characteristics
  • Authors: Mertoğlu, K., Durul, M.S., Korkmaz, N., Bulduk, I., Esatbeyoglu, T.
    Journal: BMC Plant Biology (2024)
Mineral composition modulates Erwinia amylovora resistance in pear based on path analysis
  • Authors: Mertoğlu, K., Evrenosoğlu, Y., Akkurt, E., Yeşilbaş, M.F., Gülmezoğlu, N.
    Journal: European Journal of Plant Pathology (2024)
Preharvest Salicylic Acid and Oxalic Acid Decrease Bioactive and Quality Loss in Blackberry (cv. Chester) Fruits during Cold Storage
  • Authors: Erbas, D., Mertoğlu, K., Eskimez, I., Kaki, B., Esatbeyoglu, T.
    Journal: Journal of Food Biochemistry ( 2024)
Maternal Environment and Priming Agents Effect Germination and Seedling Quality in Pitaya under Salt Stress
  • Authors: Kenanoğlu, B.B., Mertoğlu, K., Sülüşoğlu Durul, M., Korkmaz, N., Çolak, A.M.
    Journal: Horticulturae (2023)
Pollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA
  • Authors: Akkurt, E., Mertoğlu, K., Evrenosoğlu, Y., Alpu, Ö.
    Journal: Erwerbs-Obstbau (2023)

 

 

 

Johannes Krotz | Computational Methods | Best Researcher Award

Dr. Johannes Krotz | Computational Methods | Best Researcher Award

Postdoctoral Fellow at Notre Dame, United States

👨‍🎓 Profiles

🌟Summary

👨‍🎓 PhD candidate in Mathematics with a minor in Computer Science, specializing in probabilistic and data-driven methods for numerical PDEs and hybrid Monte Carlo methods for complex systems simulations. Experienced in statistical modeling, computational physics, and advanced simulations with a strong background in teaching and academic leadership. Currently working as a Postdoctoral Researcher at the University of Notre Dame.

🎓 Education

🎓 PhD in Mathematics (Minor in CS)
University of Tennessee Knoxville, 2021–2024

  • Dissertation on Probabilistic & Data-Driven Methods in Numerical PDEs
  • GPA: 4.0

📊 M.Sc. in Statistics
University of Tennessee, 2022–2024

  • GPA: 3.9

📚 M.Sc. in Mathematics
Oregon State University, 2019–2021

  • GPA: 4.0

⚛️ M.Sc. in Physics
University of Konstanz, 2015–2019

  • GPA: 4.0 (Honors)

🔢 B.Sc. in Mathematics & Physics
University of Konstanz, 2012–2018

  • GPA: 3.5 (Mathematics), 3.3 (Physics)

💼 Professional Experience

🔬 Postdoctoral Researcher
University of Notre Dame, 2024–Present

  • Research on hybrid Monte Carlo & deterministic kinetic transport algorithms for exascale simulations in neutron transport.

🧑‍💻 Graduate Research Assistant (GRA)
University of Tennessee/ORNL, 2023–2024

  • Advancing dynamic likelihood filters for stochastic advection-diffusion equations in collaboration with ORNL and UTK.

💼 Research Intern
Oak Ridge National Lab (ORNL), 2021–2022

  • Developed hybrid algorithms for simulating complex particle systems in 2D & 3D.

🌍 Research Intern
Los Alamos National Lab (LANL), 2020

  • Focus on high-fidelity discrete fracture networks and Poisson-disk sampling algorithms for triangulations.

🔬 Research Interests

  • 🧠 Computational Mathematics: Hybrid Monte Carlo methods, kinetic transport equations, and numerical simulations for complex physical systems.
  • 🔍 Stochastic Processes: Advanced data-driven filtering techniques and applications in fluid dynamics, advection-diffusion, and PDEs.
  • 💻 Statistical Modeling: Development of methods for high-dimensional data and stochastic modeling.
  • 🌐 Interdisciplinary Work: Collaborating across fields of mathematics, physics, and engineering to tackle real-world computational challenges.

🏆 Awards

  • 1st & 3rd place at the UTK SIAM Research Showcase (2023, 2024)
  • Randall E. Cline Award (2022) for research excellence

🖥 Technical Skills

  • Python, C++, R, Matlab, LATEX, and more
  • Basic Fortran, AWK

🔗 Professional Memberships

  • SIAM, AWM, AAAS, UCW

 Publications

A Hybrid Monte Carlo, Discontinuous Galerkin Method for Linear Kinetic Transport Equations

  • Authors: Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
  • Journal: Journal of Computational Physics, Vol. 514
  • Year: 2024
Variable Resolution Poisson-Disk Sampling for Meshing Discrete Fracture Networks
  • Authors: Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable
  • Journal: Journal of Computational and Applied Mathematics, Vol. 407
  • Year: 2022
Dynamic Likelihood Filters for Advection Diffusion Equations
  • Authors: Johannes Krotz, Jorge M. Ramires, Juan M. Restrepo
  • Journal: The Monthly Weather Review
  • Year: Under review
Minimizing Effects of the Kalman Gain on Posterior Covariance Eigenvalues, the Characteristic Polynomial and Symmetric Polynomials of Eigenvalues
  • Authors: Johannes Krotz
  • Journal: Arxiv (preprint)
  • Year: 2024

 

 

 

Fekadu Muleta | Computational Methods | Editorial Board Member

Assist. Prof. Dr. Fekadu Muleta | Computational Methods | Editorial Board Member

Assistant professor (PhD) at Wolaita Sodo university, Ethiopia

Dr. Fekadu Muleta is an Assistant Professor in the Department of Chemistry at Adama Science and Technology University (ASTU), Ethiopia. With a PhD in Bioinorganic Chemistry, his research spans across synthesis, characterization, and biological applications of metal complexes. His academic journey includes a Master’s in Inorganic Chemistry from Bahir Dar University (BDU), where he also completed his Bachelor’s degree in Chemistry. Dr. Muleta has been actively involved in both teaching and research, contributing significantly to the fields of coordination chemistry, biochemistry, and biological chemistry. His scientific approach integrates molecular docking, antimicrobial testing, and the development of novel complexes for anti-cancer applications. His work has been published in several prestigious journals, and he continues to make strides in his area of expertise with a focus on natural product-based ligands.

🎓Profile

📚 Early Academic Pursuits

Dr. Fekadu Muleta’s academic journey began with a strong foundation in Chemistry at Bahir Dar University (BDU), Ethiopia. His interest in chemistry was evident early on, earning him a Bachelor’s degree in Science Chemistry from BDU in 2007. Following his undergraduate studies, he pursued a Master’s degree in Inorganic Chemistry, specializing in coordination chemistry and biochemistry. Under the mentorship of Prof. Girma Kibatu, his thesis focused on public health issues, specifically analyzing iodine deficiency disorders and iodized salt consumption levels among school children in Amuma and Minjo Districts in Beneshangul Gumuz, Ethiopia. This research, conducted from 2010 to 2011, laid the groundwork for his later transition into research that integrates chemistry with biological applications.

🎓 Professional Endeavors

Dr. Muleta’s professional path took a decisive step forward with his appointment as an Assistant Professor at Adama Science and Technology University (ASTU). Here, he advanced his expertise in Bioinorganic Chemistry, Biochemistry, and Inorganic Chemistry. His Ph.D. dissertation, titled “Synthesis, Characterization, and Molecular Docking Studies of Homoleptic and Heteroleptic Zinc(II), Copper(II), Nickel(II) Complexes of Semicarbazone and Thiosemicarbazone Derivative Ligands for Biological Application”, was supervised by Prof. Tegene Desalegn. This work combined his deep interest in organic ligands, metal complexes, and their biological potential, an area where his academic and professional interests converge.

🔬 Contributions and Research Focus

Dr. Muleta’s research is a blend of synthetic chemistry, biological applications, and advanced analytical techniques. His primary research focuses on the synthesis and characterization of semicarbazone and thiosemicarbazone derivative organic ligands derived from natural products. He has extensively worked on metal complexes, such as zinc, copper, and nickel, exploring their potential as antimicrobial agents, free radical scavengers, and even anti-cancer compounds. In particular, his investigations into heteroleptic and homoleptic complexes have led to novel discoveries that contribute significantly to the understanding of bioinorganic chemistry. Furthermore, Dr. Muleta’s expertise in molecular docking studies offers a crucial link between theoretical chemistry and practical biological applications, a critical area for drug discovery.

🌍 Impact and Influence

Dr. Muleta has had a profound impact on both academic research and the scientific community, particularly in Ethiopia. Through his innovative studies on metal complexation and biological activity, he has contributed to the broader field of medicinal chemistry, with applications that may influence drug design, environmental monitoring, and health sciences. His publications in peer-reviewed journals, such as the Journal of Molecular Structure and the Journal of Chemistry, are a testament to his ability to push the boundaries of both synthetic chemistry and biochemistry.

📑 Academic Citations

Dr. Muleta’s research has already garnered significant recognition in the academic community. Some of his highly cited publications include:

  1. Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone published in the Journal of Molecular Structure, 2022.
  2. Synthesis, molecular docking, and biological studies of novel heteroleptic Cu(II) and Zn(II) complexes of natural product-based semicarbazone derivatives published in 2023, which highlights his interdisciplinary approach integrating chemistry and biology.

These publications have established Dr. Muleta as a valuable contributor to the growing body of knowledge on bioinorganic chemistry and its biological applications, with the potential to lead to therapeutic advancements.

🛠️ Technical Skills

Dr. Muleta’s technical expertise spans a range of sophisticated analytical techniques and platforms. His proficiency in advanced spectroscopy (e.g., Nuclear Magnetic Resonance (NMR), Infrared (IR), UV-Visible Spectroscopy), mass spectrometry, and X-ray Diffraction (XRD) allows him to accurately characterize chemical compounds at the molecular level. Additionally, he is skilled in Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA), tools essential for studying the thermal properties of materials. His use of computational tools for molecular docking further complements his empirical research, providing a holistic approach to complex biological questions.

🧑‍🏫 Teaching Experience

As an Assistant Professor at Adama Science and Technology University, Dr. Muleta has had the privilege of shaping the next generation of chemists. He teaches courses related to inorganic chemistry, bioinorganic chemistry, and biochemistry, instilling in his students not only a deep understanding of the subject matter but also a passion for scientific discovery. His ability to translate complex concepts into digestible lessons has made him a respected educator, and his mentorship has inspired many students to pursue careers in research and academia. Dr. Muleta’s work in research and teaching goes hand-in-hand, as he involves his students in cutting-edge research projects, fostering an environment of hands-on learning.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Muleta’s research trajectory promises further innovations in bioinorganic chemistry. He is well-poised to make significant strides in the synthesis of novel metal-based complexes with potential biological applications, particularly in the development of new drugs and antimicrobial agents. His work on crystal growth and solid-state chemistry is expected to contribute to material science, while his continued collaboration with international research communities will expand his global influence.

Top Noted Publications📖

Synthesis, In Silico, and Biological Applications of Novel Heteroleptic Copper (II) Complex of Natural Product-Based Semicarbazone Ligands
  • Journal: Journal of Chemistry
    Authors: Fekadu Muleta, Tegene Desalegn, Marcelino Maneiro
    Year: 2022
Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone
  • Journal: Journal of Molecular Structure
    Authors: Fekadu Muleta
    Year: 2022
Synthesis, In vitro Biological Studies of novel Homoleptic Ni(II) and Zn(II) Complexes of Thiosemicarbazide Derivative ligand
  • Journal: Chemistry and Materials Research
    Authors: Fekadu Muleta
    Year: 2022

 

 

 

 

Himanshu Kumar | Computational Methods | Editorial Board Member

Dr. Himanshu Kumar | Computational Methods | Editorial Board Member

Adjunct Professor at School of Physics, Damghan University, Iran

Dr. Himanshu Kumar is an experienced physicist with over 15 years of teaching expertise. With a PhD in Physics from Jamia Millia Islamia University, and double master’s degrees in Physics and Information Technology, Dr. Kumar combines a deep understanding of both theoretical and applied sciences. He is currently affiliated with the School of Physics, Damghan University, Iran, and holds an adjunct professor role at Delhi Technology University, India. Throughout his career, Dr. Kumar has taught a wide range of courses across Physics, Mathematics, and Computer Science at various universities, consistently earning excellent student evaluations. His teaching style is highly interactive, ensuring that each student, regardless of their academic level, comprehends the subject matter thoroughly. Additionally, Dr. Kumar has contributed to research and academic mentorship, with multiple publications in international journals and participation in various conferences.

Profile🎓

Early Academic Pursuits 🎓

Dr. Himanshu Kumar’s academic journey began with his foundational studies in Physics, earning his BSc in Physics from Vinoba Bhave University in Jharkhand, India, in 1996. He further honed his expertise by completing his MSc in Physics (2004) and a PhD in Physics from Jamia Millia Islamia University, Delhi (2014). Dr. Kumar also pursued an interdisciplinary path by obtaining a PGDITM (Post Graduate Diploma in Information Technology and Management) and an Advanced Diploma in Information Systems from Oxford Software Institute, Delhi. This unique combination of Physics, Information Technology, and Management laid the groundwork for his later contributions to both academia and research.

Professional Endeavors 💼

Dr. Himanshu Kumar has a distinguished career spanning over 15 years in academia. After completing his PhD, he has served in various esteemed positions, currently as an Adjunct Professor at Delhi Technology University and affiliated with the School of Physics, Damghan University, Iran. He has also held key roles as an Assistant Professor at prominent institutions such as Delhi University, NSUT University, and Lingaya University. His teaching career spans a wide array of courses in Physics, Mathematics, and Computer Science, where he has received excellent evaluations from students, a testament to his dedication and interactive teaching style. Dr. Kumar’s ability to connect complex scientific concepts with students of varying academic levels has earned him great respect in the academic community.

Contributions and Research Focus 🔬

Dr. Himanshu Kumar’s primary research interests lie in the computational aspects of physics, especially focusing on quantum gravity, cosmology, and astrophysics. His research has involved modeling complex physical systems, both analytically and numerically. He has published extensively in high-impact journals, contributing to topics such as general relativity, black hole thermodynamics, and quantum corrections in charged BTZ black holes. His work in computational physics bridges theoretical understanding with practical applications, making significant strides in the modeling of astrophysical systems and quantum phenomena. Dr. Kumar has presented his findings at international conferences and has served as a mentor to young researchers through summer research programs, guiding them through cutting-edge topics in theoretical physics.

Impact and Influence 🌍

Dr. Himanshu Kumar has made substantial contributions to the fields of astrophysics, cosmology, and computational physics. His research on quantum gravity and general relativity has had significant implications for our understanding of the universe’s most fundamental processes. In addition to his research contributions, Dr. Kumar has greatly impacted the academic growth of his students, guiding them not only in traditional coursework but also in practical research mentorship. His Summer Research Mentorship Award from Delhi University stands as a recognition of his commitment to student development and the advancement of theoretical physics. His active participation in conferences and workshops further solidifies his role as a key contributor to the scientific community, bringing innovative ideas to the forefront of astrophysics and cosmology.

Academic Cites 📚

Dr. Himanshu Kumar’s work is widely recognized in the scientific community, with his papers being frequently cited in research related to general relativity, astrophysics, and quantum mechanics. Some of his most cited works include his contributions to Gen. Rel. Grav. and Grav. Cosmol., where his research on higher-order quantum corrections in charged BTZ black holes is poised to significantly influence future studies in black hole thermodynamics. Dr. Kumar’s work not only pushes the boundaries of theoretical physics but also bridges gaps between different fields, such as information technology and physics, creating an interdisciplinary research environment that is both innovative and impactful.

Technical Skills 💻

Dr. Himanshu Kumar possesses a rich technical skill set that spans both Physics and Information Technology. His expertise in computational physics has led him to master various programming languages and simulation tools, such as C++, Python, Fortran, and SciLab. Additionally, he is proficient in using Gnuplot and other computational software for data analysis and visualization. Dr. Kumar’s dual expertise in Physics and IT enables him to model complex physical systems, apply advanced numerical methods, and design simulations that aid in understanding theoretical phenomena. His ability to integrate computational methods into his research is a distinguishing feature of his academic profile.

Teaching Experience 🧑‍🏫

With over 15 years of experience, Dr. Himanshu Kumar has taught a diverse range of courses in Physics, Mathematics, and Computer Science at both the undergraduate and postgraduate levels. His teaching is characterized by an interactive style that focuses on ensuring each student fully understands foundational concepts before progressing to more advanced topics. He has taught Cosmology, Astrophysics, Wave Optics, Classical Mechanics, and Computational Physics, among other courses. Dr. Kumar’s commitment to his students is reflected in his consistently high student evaluations, earning him a reputation as a dedicated and effective educator. His innovative approach to teaching and his ability to simplify complex topics have inspired students to pursue careers in physics and computational science.

Legacy and Future Contributions 🔮

Dr. Himanshu Kumar’s legacy is built on his interdisciplinary approach to teaching and research. His contributions to astrophysics, cosmology, and computational physics have paved the way for further exploration of quantum gravity and black hole thermodynamics. As he continues his work at Damghan University and Delhi Technology University, Dr. Kumar aims to inspire future generations of physicists and researchers. His commitment to student mentorship, evidenced by his numerous summer research programs, and his ongoing publications, ensure that his influence on the field will continue to grow. His work not only advances theoretical physics but also bridges the gap between scientific disciplines, offering new perspectives on how physics and information technology can be integrated to solve complex, real-world problems.

Top Noted Publications📖

Method Facilitating Wired and Wirelessly Charging Batteries of Electric Vehicles (EVS) via Deployment of Smart Charging Plug and Socket for Autonomously Locating and Engaging Plug-Socket Connector in Context of Smart Charging System
  • Journal: Patent
    Author: Dr. Himanshu Kumar
    Year: 2021
The Ageing Problem of Twins in Reissner–Nordström Spacetime
  • Journal: Modern Physics Letters A
    Author: Saurabh, Himanshu Kumar
    Year: 2020
    DOI: 10.1142/s021773232050008x
Self-interacting Cold Dark Matter: A New Jeans Theory Based Model
  • Journal: Gravitation and Cosmology
    Author: Himanshu Kumar
    Year: 2015
    DOI: 10.1134/s0202289315040106
Feebly Self-Interacting Cold Dark Matter: New Theory for the Core-Halo Structure in GLSB Galaxies
  • Journal: ArXiv
    Author: Himanshu Kumar, Sharf Alam
    Year: 2013
    DOI: 10.48550/ARXIV.1307.7469
Surface Tension with Normal Curvature in Curved Space-Time
  • Journal: General Relativity and Gravitation
    Author: Himanshu Kumar, Sharf Alam, Suhail Ahmad
    Year: 2013
    DOI: 10.1007/s10714-012-1464-y

 

 

 

Jie Li | Computational Methods | Best Researcher Award

Assoc. Prof. Dr. Jie Li | Computational Methods | Best Researcher Award

Teacher at Chongqing University of Science and Technology, China

Li Jie is an accomplished doctor, associate professor, and master’s supervisor at Shanghai Jiaotong University, where he also serves as a postdoctoral fellow. As the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing, he leads initiatives in smart neurosurgery and participates actively in various professional committees related to artificial intelligence and smart transportation. An Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence, he has contributed significantly to international conferences.

Profile🎓

Early Academic Pursuits🌱

Li Jie began his academic journey with a strong focus on artificial intelligence and smart technologies, laying a solid foundation for his future endeavors. His time at Tsinghua University and later at the University of Rhode Island enriched his understanding and broadened his research perspectives, preparing him for a distinguished career in academia and industry.

Professional Endeavors 💼

As a postdoctoral fellow at Shanghai Jiaotong University, Li Jie has undertaken significant leadership roles, including serving as the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing. His involvement with the Smart Neurosurgery Group and various professional committees reflects his commitment to advancing healthcare through innovative technology and collaboration.

Contributions and Research Focus 🔍

Li Jie’s research primarily centers on smart security and neurosurgery, where he utilizes artificial intelligence to enhance medical practices. He has hosted 16 funded projects and has published over 40 academic papers in high-impact journals, showcasing his dedication to contributing valuable knowledge to the field.

Impact and Influence 🌍

With a reputation as a thought leader, Li Jie has made significant contributions that have influenced both academia and industry. His role as an Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence and participation in various international conferences underscore his influence in shaping research agendas and fostering collaborations.

Academic Citations 📚

Li Jie’s work is widely recognized, as evidenced by his 40 published papers and the acclaim received for his book, “Artificial Intelligence.” His research has garnered citations that highlight its relevance and impact, establishing him as a respected figure in his field.

Technical Skills ⚙️

Possessing a robust set of technical skills, Li Jie excels in areas such as computational intelligence, data analysis, and machine learning. His expertise in securing over 40 invention patents demonstrates his innovative approach and practical application of technology in research.

Teaching Experience 👨‍🏫

As a master’s supervisor and associate professor, Li Jie has mentored numerous students, instilling in them a passion for research and innovation. His teaching methods emphasize practical applications of theory, preparing students for successful careers in technology and science.

Legacy and Future Contributions 🔮

Li Jie’s legacy is marked by his commitment to advancing smart technologies in healthcare. Looking ahead, he aims to expand his research collaborations internationally and engage in interdisciplinary projects, furthering the impact of his work on society and technology. His vision for the future underscores a dedication to innovation that will shape the next generation of researchers and practitioners.

Publication Top Notes📖

Metric learning based multi-branch network for tongue manifestation recognition
  • Authors: Ren, S., Wu, R., Luo, Q., Wang, Y., Li, J.
    Publication Year: 2024
FASCNet: An Edge-Computational Defect Detection Model for Industrial Parts
  • Authors: Li, J., Wu, R., Zhang, S., Chen, Y., Dong, Z.
    Publication Year: 2024
Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
  • Authors: Li, F., Zhou, Y., Chen, Y., Dong, Z., Tan, M.
    Publication Year: 2024
A Mixed-Precision Transformer Accelerator With Vector Tiling Systolic Array for License Plate Recognition in Unconstrained Scenarios
  • Authors: Li, J., Yan, D., He, F., Dong, Z., Jiang, M.
    Publication Year: 2024
A novel medical text classification model with Kalman filter for clinical decision making
  • Authors: Li, J., Huang, Q., Ren, S., Deng, B., Qin, Y.

           Publication Year: 2023

 

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

 

 

Jamil Abbas Haider | Computational Methods | Best Researcher Award

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