Syed Anwar | signal processing | Best Researcher Award

Syed Anwar | signal processing | Best Researcher Award

Principal Investigator at Childrens National Hopsital, United States.

Syed Muhammad Anwar is a distinguished researcher in the fields of medical imaging, deep learning, and computer vision. He is currently a Principal Investigator at the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Hospital in Washington, DC, and serves as an Associate Professor at George Washington University. With over two decades of academic and professional experience, Dr. Anwar has co-founded tech ventures and contributed significantly to cutting-edge research in machine learning and medical image analysis. His expertise spans across multiple countries and academic institutions, with an impressive h-index of 38 and over 6,800 citations. A prolific scholar and inventor, he has secured numerous grants and awards for his research contributions in both academia and industry, particularly in the development of healthcare technologies. His leadership roles in education, research, and industry highlight his commitment to innovation and interdisciplinary collaboration in emerging technology fields.

Profile👤

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ORCID

Educationđź“ť

Dr. Anwar’s educational background showcases an impressive academic journey through prestigious institutions. He earned his PhD in Electronic and Electrical Engineering from the University of Sheffield, UK, in 2012, where his research focused on detecting neuronal fields using MR imaging. Prior to that, he obtained a distinction in his MS in Data Communications, also from the University of Sheffield. His undergraduate education was completed at the University of Engineering and Technology (UET), Taxila, where he graduated with honors in Computer Engineering, finishing with the second-highest percentage in his class. In 2019-2020, he was awarded a prestigious Fulbright Fellowship at the University of Central Florida, focusing on deep learning for medical image analysis. His diverse and interdisciplinary academic foundation, spanning engineering and medical technology, forms the basis of his expertise in cutting-edge research areas like artificial intelligence, machine learning, and medical image computing.

Experience👨‍🏫

Dr. Anwar’s career spans a wide array of academic and industry positions. Currently, he serves as Principal Investigator at Children’s National Hospital and Associate Professor at George Washington University. He was previously an Associate Professor at the University of Engineering and Technology, Taxila, where he held numerous administrative and advisory roles. He has also worked internationally, including as a Research Fellow at the University of Surrey, UK, and a Research Associate at the University of Central Florida, USA. Dr. Anwar has extensive experience in the tech industry, having co-founded several companies, including EcoEdge AI and Sense Digital Pvt. Ltd., where he served as CTO. His industrial roles have focused on deep learning, medical imaging, and healthcare solutions. Additionally, he has mentored entrepreneurs and served as an advisor at national incubation centers, underscoring his role as a bridge between academia and industry in technology and innovation.

Research Interest🔬 

Dr. Anwar’s research interests are deeply rooted in medical image analysis, artificial intelligence, and deep learning. His work primarily focuses on utilizing deep learning models to improve medical diagnostics, especially in fields such as brain tumor segmentation, pediatric health, and cardiac health monitoring. He is particularly interested in applying machine learning techniques to enhance medical imaging technologies, exploring areas like brain-computer interfaces and wearable health technologies. His projects also delve into federated learning for medical imaging security and using AI to predict health outcomes, such as in sickle cell disease management. Throughout his career, Dr. Anwar has sought to bridge the gap between medical science and computational technology, aiming to create innovative, data-driven healthcare solutions. His interdisciplinary research has earned him international recognition, positioning him as a key figure in advancing AI-driven medical applications.

Awards and Honors🏆

Dr. Anwar has received numerous prestigious awards and honors throughout his career. He was a Fulbright Fellow at the University of Central Florida, USA, where he focused on applying deep learning to medical image analysis. He has also been awarded several research grants, including a $220,000 seed grant from IGNITE for his work in fashion retrieval using deep learning and a $1200 grant from NVIDIA for hardware development. His contributions to academia have been widely recognized, with multiple travel grants awarded by the Higher Education Commission of Pakistan for presenting his research at international conferences. Additionally, Dr. Anwar has played a leading role in student mentorship, entrepreneurship, and incubation programs, where he has been recognized as a mentor at national incubation centers and the Pak-US Alumni Network. His leadership roles and innovative research projects have earned him a reputation for academic excellence and contribution to the global research community.

Skills🛠️

Dr. Anwar possesses a robust set of technical and leadership skills. His core expertise lies in deep learning, medical image analysis, and artificial intelligence. He is proficient in applying machine learning algorithms to a variety of real-world problems, especially in healthcare technologies. His strong background in software and hardware engineering includes experience with EEG-based systems, brain-computer interfaces, and remote health monitoring. Additionally, Dr. Anwar is skilled in research design, grant writing, and project management, having secured significant funding for his projects. His entrepreneurial abilities are demonstrated through his co-founding of tech startups and his role as CTO, where he has led development teams in creating innovative AI solutions. He also excels in academic mentoring, having supervised multiple PhD students and contributed to curriculum development in machine learning and computer vision at universities.

Conclusion 🔍 

Dr. Syed Muhammad Anwar is a highly accomplished researcher whose contributions to medical image analysis, deep learning, and AI in healthcare make him a strong candidate for the Best Researcher Award. His distinguished career, which spans academia, industry, and entrepreneurial ventures, highlights his ability to blend research innovation with real-world applications. His extensive publication record, high citation count, and successful leadership in numerous research projects underscore his academic impact. Dr. Anwar’s interdisciplinary approach, combining engineering with healthcare solutions, and his ability to secure significant research funding demonstrate his excellence in research and innovation. With a deep commitment to advancing technology for medical applications, Dr. Anwar’s work continues to influence both academic research and the practical development of AI-driven healthcare systems.

Publication Top Notes

Title: BPMN extension evaluation for security requirements engineering framework
Authors: Zareen, S., Anwar, S.M.
Year: 2024
Citation Count: 1

Title: Development of a Modular Real-time Shared-control System for a Smart Wheelchair
Authors: Ramaraj, V., Paralikar, A., Lee, E.J., Anwar, S.M., Monfaredi, R.
Year: 2024
Citation Count: 0

Title: An automated framework for pediatric hip surveillance and severity assessment using radiographs
Authors: Lam, V.K., Fischer, E., Jawad, K., Cleary, K., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Quantitative Metrics for Benchmarking Medical Image Harmonization
Authors: Parida, A., Jiang, Z., Packer, R.J., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: MR to CT Synthesis Using 3d Latent Diffusion
Authors: Tapp, A., Parida, A., Zhao, C., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning
Authors: Capellan-Martin, D., Parida, A., Gomez-Valverde, J.J., Ledesma-Carbayo, M.J., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: A two-center study
Authors: Liu, X., Jiang, Z., Roth, H.R., Bornhorst, M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: EEG-Based Emotion Recognition during Mobile Gameplay
Authors: Khan, S.H., Raheel, A., Majid, M., Anwar, S.M., Arsalan, A.
Year: 2024
Citation Count: 0

Title: CHILD FER: DOMAIN-AGNOSTIC FACIAL EXPRESSION RECOGNITION IN CHILDREN USING A SECONDARY IMAGE DIFFUSION MODEL
Authors: Lee, E., Lee, E.-J., Anwar, S.M., Yoo, S.B.
Year: 2024
Citation Count: 0

Title: Self-Supervised Learning for Seizure Classification using ECoG spectrograms
Authors: Lam, V., Oliugbo, C., Parida, A., Linguraru, M.G., Anwar, S.M.
Year: 2024
Citation Count: 0

Laxmi Rathour | Mathematics | Young Scientist Award

Laxmi Rathour | Mathematics | Young Scientist Award

Research Scholar at National Institute of Technology Mizoram, India.

Laxmi Rathour is an emerging scholar in the field of mathematics, currently serving as a researcher at the National Institute of Technology (NIT), Mizoram. With a strong academic background and a focused research agenda, her expertise lies in both pure and applied mathematics, particularly in areas such as Multi-Attribute Decision Making (MADM), Multi-Criteria Decision Making (MCDM), and Nonlinear Analysis. She is actively involved in research, contributing to journals and collaborating internationally as a reviewer for prestigious publications like Mathematical Reviews (USA) and Zentralblatt Math (Germany). As she continues to pursue her Ph.D., Rathour is deeply engaged in advancing mathematical theory and its practical applications. Her research presence is growing on platforms such as SCOPUS and ResearchGate, and she is quickly establishing herself as a dedicated and impactful researcher in her field, making significant strides in her academic and professional career.

Profile👤

Scopus

ORCID

Educationđź“ť

Laxmi Rathour holds a Master’s degree in Mathematics from the Indira Gandhi National Tribal University in Amarkantak, Madhya Pradesh, India. She pursued her postgraduate studies from July 2019 to August 2021, during which she developed her foundational knowledge and research skills in various mathematical disciplines. Currently, she is furthering her academic pursuits by working toward a Ph.D., with a focus on advanced mathematical topics such as Meta Heuristic algorithms and Fractional Calculus. Her educational background has provided her with a strong grounding in both theoretical and applied aspects of mathematics, equipping her to explore complex mathematical problems. Rathour’s academic journey reflects her dedication to research and her desire to contribute new knowledge to the field of mathematics. Her ongoing Ph.D. studies are expected to deepen her expertise and enhance her impact as a researcher.

Experience👨‍🏫

Laxmi Rathour has been affiliated with the National Institute of Technology (NIT), Mizoram, since July 2023, where she serves as a researcher in the Department of Mathematics. Her role involves conducting research in specialized areas such as Multi-Objective Transportation Problems (MOTP) and Nonlinear Analysis. Prior to joining NIT, Rathour was actively involved in research during her master’s studies at Indira Gandhi National Tribal University, where she began developing her interests in optimization and decision-making algorithms. Additionally, she has gained experience as a voluntary reviewer for international mathematical publications, enhancing her exposure to global academic standards. This role has provided her with valuable insights into current trends in mathematical research, as well as opportunities to engage with complex theoretical concepts and methodologies, which have contributed to her growth as a researcher.

Research Interest🔬 

Laxmi Rathour’s research interests lie in a variety of mathematical disciplines, primarily focusing on applied and pure mathematics. Her areas of expertise include Multi-Attribute Decision Making (MADM), Multi-Criteria Decision Making (MCDM), and Multi-Objective Transportation Problems (MOTP), which are important in the context of optimization and decision-making processes. Additionally, she explores Fractional Calculus, Nonlinear Analysis, and Meta Heuristic algorithms. Rathour’s work in Fixed Point Theory and Approximation Theory contributes to solving complex mathematical models, with applications in both academic and real-world problems. Her research is oriented toward advancing mathematical theory while also seeking practical applications in optimization and decision-making, making her contributions valuable in a wide range of industries and scientific disciplines.

Awards and Honors🏆

Though specific awards and honors are not explicitly listed, Laxmi Rathour’s academic achievements and professional engagements highlight her growing recognition in the field of mathematics. She has earned respect as a reviewer for leading mathematical journals, including Mathematical Reviews (USA) and Zentralblatt Math (Germany). These roles demonstrate her expertise and the recognition she has gained within the global mathematical community. In addition to her reviewer positions, Rathour’s research has been published in several national and international journals, further indicating her contributions to her field. As her career progresses, it is likely that she will continue to earn accolades for her research and academic achievements, solidifying her status as an accomplished mathematician.

Skills🛠️

Laxmi Rathour possesses a diverse skill set that complements her research in mathematics. Her technical expertise includes proficiency in decision-making algorithms such as MADM and MCDM, as well as optimization techniques involving Multi-Objective Transportation Problems (MOTP). Additionally, she is skilled in using Meta Heuristic algorithms and advanced mathematical methods such as Fractional Calculus and Nonlinear Analysis. These skills are crucial for tackling complex mathematical problems, particularly in the areas of optimization and decision-making. Beyond her technical capabilities, Rathour also has strong analytical and problem-solving abilities, which are essential for conducting high-level research. Her role as a reviewer further underscores her critical thinking and editorial skills, making her a well-rounded researcher with both theoretical and applied mathematical expertise.

Conclusion 🔍 

Laxmi Rathour is a promising researcher in the field of mathematics, with a particular focus on decision-making algorithms, optimization, and advanced mathematical theories. Her academic journey, which began at Indira Gandhi National Tribal University and continues with her Ph.D. studies, reflects her dedication to expanding her knowledge and contributing to the global body of mathematical research. Her current role at the National Institute of Technology, Mizoram, allows her to further her research in specialized areas while also engaging with the broader academic community through publications and peer-review activities. As she continues to develop her skills and expertise, Rathour is poised to make significant contributions to both the theoretical and applied aspects of mathematics, positioning herself as an influential figure in the field.

Publication Top Notes

A simple and efficient preprocessing step for convex hull problem
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). A simple and efficient preprocessing step for convex hull problem. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S179383092350091X

Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S1793830924500678

On r-dynamic k-coloring of ladder graph families
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). On r-dynamic k-coloring of ladder graph families. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S1793830924500356

Duality under novel generalizations of the D-Type-I functions for multiple objective nonlinear programming problems
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). Duality under novel generalizations of the D-Type-I functions for multiple objective nonlinear programming problems. Scientific African. https://doi.org/10.1016/j.sciaf.2024.e02067

A Time-Sequential Probabilistic Hesitant Fuzzy Approach to a 3-Dimensional Green Transportation System
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). A Time-Sequential Probabilistic Hesitant Fuzzy Approach to a 3-Dimensional Green Transportation System. In book: Smart Green Innovations for Sustainable Development. https://doi.org/10.1007/978-3-031-56304-1_9

Generalized Rational Type Contraction and Fixed Point Theorems in Partially Ordered Metric Spaces
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Generalized Rational Type Contraction and Fixed Point Theorems in Partially Ordered Metric Spaces. Journal of Advances in Applied & Computational Mathematics. https://doi.org/10.15377/2409-5761.2023.10.13

Integration of Rational Functions
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Integration of Rational Functions. Journal of Multidisciplinary Applied Natural Science. https://doi.org/10.47352/jmans.2774-3047.186

Possible directions of increasing the efficiency of the health system through software development
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Possible directions of increasing the efficiency of the health system through software development. Brazilian Journal of Science. https://doi.org/10.14295/bjs.v3i1.450

A Newton-like Midpoint Method for Solving Equations in Banach Space
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). A Newton-like Midpoint Method for Solving Equations in Banach Space. Foundations. https://doi.org/10.3390/foundations3020014

Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions
Author: Laxmi Rathour
Year: 2022
Citation: Rathour, L. (2022). Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions. Symmetry. https://doi.org/10.3390/sym14081663

 

Yousaf Iqbal | Materials Science | Best Researcher Award

Yousaf Iqbal | Materials Science | Best Researcher Award

Tenured Associate Professor at University of Poonch Rawalakot, Azad Kashmir, Pakistan.

Dr. Yousaf Iqbal is a Tenured Associate Professor in the Department of Physics at the University of Poonch, Rawalakot, Azad Kashmir, Pakistan. His academic career spans over two decades, with significant contributions in the fields of solid-state physics, environmental physics, and nanotechnology. Specializing in the synthesis and characterization of nanoparticles, particularly for biomedical applications like magnetic hyperthermia and drug delivery, Dr. Iqbal has established himself as an expert in this cutting-edge domain. His research work focuses on developing novel materials for use in medicine, including MRI contrast agents and nanomedicine. He is also a dedicated educator, teaching a wide array of physics courses at undergraduate and graduate levels. Dr. Iqbal’s achievements include prestigious scholarships and international research collaborations, demonstrating both his academic rigor and global engagement.

Profile👤

Scopus

Educationđź“ť

Dr. Yousaf Iqbal has a Ph.D. in Solid State Physics with a focus on Biomedical Applications, awarded by Kyungpook National University, South Korea, in 2015. His Ph.D. research focused on the synthesis and characterization of ferrite nanoparticles for magnetic hyperthermia, a promising technique in cancer treatment. He also holds an M.S. in Environmental Physics from the University of Bremen, Germany, where he conducted research on anthropogenic carbon inventories in the North Atlantic Ocean. His M.Phil. in Solid State Physics and M.Sc. in Physics were completed at the University of Peshawar, Pakistan, where he explored topics such as the characterization of Fe-Cr alloys and the effects of crystal imperfections. His foundational education includes a B.Sc. in Physics and Mathematics from Government Degree College, Nowshera, Pakistan.

Experience👨‍🏫

Dr. Yousaf Iqbal is currently a Tenured Associate Professor at the University of Poonch, Rawalakot, where he has served since 2017. He began as an Assistant Professor, a role he held at various institutions, including the University of Azad Jammu and Kashmir. His professional journey is marked by teaching a wide range of physics courses, from undergraduate to Ph.D. programs, including specialized subjects such as Nanoscience, Quantum Mechanics, and Solid State Physics. In addition to his teaching responsibilities, Dr. Iqbal has conducted advanced research in nanoparticle synthesis and biomedical applications. His career progression reflects a commitment to both academic excellence and research innovation, with a focus on developing new materials for medical technologies.

Research Interest🔬 

Dr. Yousaf Iqbal’s research interests lie at the intersection of nanotechnology and biomedicine. His primary focus is on the synthesis and characterization of nanoparticles, particularly magnetic nanoparticles for use in magnetic hyperthermia and drug delivery. His work explores the potential of these materials in cancer treatment, especially in their role as MRI contrast agents and drug delivery systems. Beyond biomedical applications, Dr. Iqbal is also interested in photocatalysis, impedance spectroscopy, and environmental physics. His diverse research portfolio highlights his interest in solving real-world problems through innovative materials science, with applications that range from medicine to environmental conservation.

Awards and Honors🏆

Dr. Yousaf Iqbal has been the recipient of numerous prestigious awards throughout his academic career. Notably, he was awarded the Brain Korea 21st Century (BK-21) Scholarship, a highly competitive funding opportunity for his Ph.D. studies at Kyungpook National University, South Korea, which he held from 2011 to 2015. He also received the Kyungpook National University International Students Honor Scholarship, recognizing his academic excellence during his Ph.D. program. Additionally, he has successfully secured research funding from various international sources, allowing him to carry out cutting-edge research in the fields of nanotechnology and biomedical applications. These accolades underscore his dedication to advancing scientific research on a global scale.

Skills🛠️

Dr. Yousaf Iqbal possesses a diverse and specialized skill set, particularly in the fields of nanotechnology and materials science. He has extensive experience in the synthesis and characterization of nanoparticles, including core-shell structured magnetic nanoparticles for biomedical applications like magnetic hyperthermia and drug delivery systems. His technical proficiency extends to a variety of advanced characterization techniques, including Fourier Transform Infrared Spectroscopy (FT-IR), X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Vibrating Sample Magnetometry (VSM), allowing him to analyze material properties at the nanoscale.

Conclusion 🔍 

Dr. Yousaf Iqbal’s work in nanoparticle synthesis and biomedical applications, paired with his technical skills and international recognition, makes him a strong contender for the Best Researcher Award. Enhancing the profile with more detailed information on publications, the impact of his research, and leadership in funded projects would bolster his nomination.

Publication Top Notes

Optimizing the magnetic field strength and concentration of silica coated cobalt ferrite nanoparticles for magnetic hyperthermia
Authors: Y. Iqbal, W. Hussain Shah, M. Yaqoob Khan, A. Mohamed Khaled, M. Syed Salem
Year: 2024
Citations: 1

Electrical transport and dielectric relaxation mechanism in Zn0.5Cd0.5Fe2O4 spinel ferrite: A temperature- and frequency-dependent complex impedance study
Authors: R. Mumtaz, W.H. Shah, Y. Iqbal, M. R. Abukhadra, A.M. El-Sherbeeny
Year: 2024
Citations: 0

Low loss nickel doped magnesium–manganese ferrite nanoparticles: A study of structural and magnetic properties
Authors: G. Asghar, E. Tariq, S.N. Khisro, K. Safeen, M. Anis-ur-Rehman
Year: 2023
Citations: 2

Small polaron hopping transport mechanism, dielectric relaxation and electrical conduction in NiAl2O4 electro-ceramic spinel oxide
Authors: Y. Iqbal, W.H. Shah, B. Khan, G. Asghar, A. Safeen
Year: 2023
Citations: 9

Crystal Field Splitting, Structural, Mechanical, Electronic, and Magnetic Properties of Spinel-Type Structure Compounds NiRh2S4 and RhNi2S4
Authors: H. Ullah, S. Ali, A. Khan, A.A. AlObaid, T.I. Al-Muhimeed
Year: 2022
Citations: 2

Soma A. El Mogy | Materials Science | Best Researcher Award

Assoc Prof Dr. Soma A. El Mogy | Materials Science | Best Researcher Award

Associate Professor, National institute of standards, Egypt

Assoc. Prof. Dr. Soma A. El Mogy is a distinguished researcher in Materials Science, recognized for her innovative contributions to the field. With a deep understanding of material properties and their applications, Dr. El Mogy has authored numerous influential publications that have advanced the understanding of materials engineering. Her work, which often intersects with sustainability and technological advancements, has earned her the prestigious Best Researcher Award, highlighting her impact on both academia and industry. Dr. El Mogy’s dedication to research and education continues to inspire the next generation of scientists in the field.

Profile

Education 

Assoc. Prof. Dr. Soma A. El Mogy earned her Bachelor of Science degree in Special Chemistry with an “Excellent with honor” distinction from Al-Azhar University in 2005. She continued her academic journey at the College of Science at Al-Azhar University, where she completed her Pre-Masters in 2007, achieving an overall grade of “Very Good.” In 2011, she obtained her Master’s degree in Physical Chemistry, with a thesis titled “Using Rice-Husk as a Filler for Production and Characterization of New Polymer-Composites having Industrial Applications.” Dr. El Mogy further advanced her research, earning her Ph.D. in Science in 2015 with a focus on “Study of the physico-mechanical properties of polypropylene filled with carbon nanotubes.” Her extensive academic background and research expertise have positioned her as a leader in the field of Materials Science.

Training Courses

Assoc. Prof. Dr. Soma A. El Mogy has a robust background in quality training and laboratory techniques, significantly enhancing her expertise in materials science. She has completed numerous quality training courses, including awareness of ISO/IEC 17025:2017 requirements, internal auditing, and method validation for calibration laboratories at the National Institute of Standards. Her training also encompasses quality control charts, intermediate calibration checks, and the estimation of uncertainty in chemical measurements, with a foundational introduction to ISO 17025 dating back to 2008. Additionally, Dr. El Mogy has gained hands-on experience with advanced laboratory equipment for plastics and rubber, having undertaken specialized courses on operating instructions for hardness testers, hardness calibrators, melt flow index (MFI), and Z010/TH2A machines, all completed in compliance with machinery directives in June 2017.

Internationally, she has expanded her expertise through training in nanotechnology technologies and applications under the Association of Materials Science and Engineering and Nanotechnology, as well as academic writing and statistical analysis using SPSS. Her local training includes courses on EndNote application, scientific paper writing and presentation, proposal and report writing, and nanoscience and nanotechnology. She has also engaged in workshops on publishing research open access, nanocarriers and drug delivery, nanostructures, and the future prospects of scientific research. These extensive training experiences highlight Dr. El Mogy’s dedication to maintaining a high standard of excellence in her research and professional activities.

Career

Assoc. Prof. Dr. Soma A. El Mogy began her career as a Research Assistant at the National Institute of Standards in the Metrology and Polymer Technology lab on May 10, 2006. She was promoted to Assistant Researcher on July 11, 2011, and later became a Doctor at the same lab on November 1, 2015. In June 2021, Dr. El Mogy was appointed as an Assistant Professor at the National Institute of Standards in the Material Testing and Surface Chemical Analysis lab in Giza, Egypt. Additionally, she served as a Lecturer in the Chemistry Department at the Faculty of Science, Al-Azhar University (Girls Branch) from September 2016 until 2020.

 

Scientific Workshop Attended

Assoc. Prof. Dr. Soma A. El Mogy has an extensive background in practical and theoretical aspects of scientific research, demonstrated by her participation in numerous specialized training courses and workshops. She has actively engaged in learning about the selection, writing, and submission of research projects, highlighted by her training at the Agricultural Research Center’s Animal Reproduction Research Institute in February 2020. Her skills in synthesizing chitosan nanoparticles were honed at the Naqaa Foundation for Scientific Research in 2019. Dr. El Mogy has also been involved in initiatives that support women in science, energy and water challenges, and the applications of nanotechnology for sustainable packaging, showcasing her commitment to addressing global scientific and environmental issues.

Her expertise extends to intellectual property management and its application in scientific research, as evidenced by her training at the Academy of Scientific Research and Technology in 2019. She has acquired advanced knowledge in scientific research methodologies, publishing within international databases, and managing resources using tools like Mendeley and EndNote. Dr. El Mogy’s dedication to combating predatory journals, reducing fraud in scientific research, and ensuring the integrity of academic work is reflected in her numerous certifications from leading universities and institutions across Iraq and the Middle East. Her participation in workshops on aligning with the publishing process, utilizing statistical data, and leveraging modern knowledge cycles further emphasizes her ongoing pursuit of excellence in research and publication.

Publication Top Notes

  • El Mogy, S. A. (2019). Processing of Polyurethane Nanocomposite Reinforced with Nanosized Zinc Oxide: Effect on Mechanical and Acoustic Properties. Egyptian Journal of Chemistry, 62, 333-341.
  • El Mogy, S. A. (2019). Radiation Crosslinking of Acrylic Rubber/Styrene Butadiene Rubber Blends Containing Polyfunctional Monomers. Radiation Physics and Chemistry, April.
  • Lawandy, S. N., El Mogy, S. A. (2020). Effect of Natural Oil Content and Viscosity on the Adhesion of Nitrile Rubber to Polyester Fabric. Adhesion Science and Technology, Accepted Manuscript, Published online 15 May.
  • Saleh, B. K., El Mogy, S. A. (2020). Use of Waste Rubber and Bionanofiller in Preparation of Rubber Nanocomposites for Friendly Environmental Flooring Applications. Egyptian Journal of Chemistry, 63(7).
  • El Mogy, S. A., Darwish, N. A., Awad, A. (2020). Comparative Study of the Cure Characteristics and Mechanical Properties of Natural Rubber Filled with Different Calcium Carbonate Resources. Journal of Vinyl and Additive Technology, 26(3).
  • Eyssa, H. M., El Mogy, S. A., Youssef, H. A. (2020). Impact of Foaming Agent and Nanoparticle Fillers on the Properties of Irradiated Rubber. Radiochimica Acta, Accepted 2 Nov.
  • Moustafa, H. A. Z., El Mogy, S. A., Mohamed, S. A., Darwish, N. A., Abd El Megeed, A. A. (2020). Bio-Enveloping Inorganic Filler Based Eggshell Wastes for Enhancing the Properties of Natural Rubber Biocomposites. Tire Science & Technology Journal, Accepted 22 July.
  • El Mogy, S. A., Abd El Megeed, A. A. (2020). Improvement of EPDM Properties Using Nanofiller Derived from Biogenic Wastes. International Journal of Science and Research, Accepted 1 Dec.
  • El Mogy, S. A., Khodier, S. A., Abd El-Megeed, A. A. (2017). Effect of Thermal Ageing on Mechanical and Optical Properties of Polystyrene. 13th Arab International Conference on Polymer Science and Technology, 22-26 October, Sharm El-Sheikh, Egypt.
  • El Mogy, S. A., Lawandy, S. N. (2023). Enhancement of the Cure Behavior and Mechanical Properties of Nanoclay Reinforced NR/SBR Vulcanizates Based on Waste Tire Rubber. Journal of Thermoplastic Composite Materials, 08927057231180493.
  • El Mogy, S. A., Lawandy, S. N. (2023). Effect of Black Sand Nanoparticles on Physical-Mechanical Properties of Butyl Rubber Compounds. Journal of Thermoplastic Composite Materials, 36(8), 3361-3382.
  • Abdel-Hakim, A., El Mogy, S. A., Abou-Kandil, A. I. (2021). Novel Modification of Styrene Butadiene Rubber/Acrylic Rubber Blends to Improve Mechanical, Dynamic Mechanical, and Swelling Behavior for Oil Sealing Applications. Polymers and Polymer Composites, 29(9_suppl), S959-S968.
  • El-Wakil, A. E. A. A., El Mogy, S., Halim, S. F., Abdel-Hakim, A. (2022). Enhancement of Aging Resistance of EPDM Rubber by Natural Rubber-g-N (4-phenylenediamine) Maleimide as a Grafted Antioxidant. Journal of Vinyl and Additive Technology, 28(2), 367-378.
  • Abdel-Hakim, A., El-Wakil, A. E. A. A., El Mogy, S., Halim, S. (2021). Effect of Fiber Coating on the Mechanical Performance, Water Absorption, and Biodegradability of Sisal Fiber/Natural Rubber Composite. Polymer International, 70(9), 1356-1366.
  • Rabee, M., El Mogy, S. A., Morsy, M., Lawandy, S., Zahran, M. A. H., Moustafa, H. (2023). Biosynthesis of MgO Nanoparticles and Their Impact on the Properties of the PVA/Gelatin Nanocomposites for Smart Food Packaging Applications. ACS Applied Bio Materials.