Assist. Prof. Dr. Maryam Yazdi | Computational Nanotechnology | Best Researcher Award

Assist. Prof. Dr. Maryam Yazdi | Computational Nanotechnology | Best Researcher Award

Assist. Prof. Dr. Maryam Yazdi, Ialamic Azad University of Malard, Iran

Maryam Yazdi is an Assistant Professor at the Islamic Azad University of Malard, Tehran, Iran. With a background in Mathematics, she has contributed significantly to the fields of equilibrium problems, fixed-point theory, and optimization. Her research has been widely published in various renowned academic journals, and she is committed to advancing mathematical methods with practical applications. Maryam is known for her dedication to teaching and research, bridging theoretical concepts with real-world solutions.

Professional Profile:

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Suitability for the Best Researcher Award:

Maryam Yazdi is an outstanding candidate for the Best Researcher Award due to her significant contributions to the field of mathematics, specifically in areas related to variational inequalities, equilibrium problems, and fixed-point problems. Her extensive academic and professional background, alongside a remarkable publication record, showcases her dedication to advancing mathematical theories and methods.

šŸŽ“Education:

Maryam Yazdi holds a Ph.D. in Mathematics from Imam Khomeini International University, Qazvin, Iran (2012). She also completed her MS (2005) and BS (2003) in Mathematics at the same institution, Imam Khomeini International University, and Iran University of Science and Technology, Tehran, respectively. Her academic background has been the foundation of her extensive research and teaching career.

šŸ¢Experience:

Since 2014, Dr. Yazdi has been an Assistant Professor at the Islamic Azad University of Malard, where she teaches and mentors students in advanced mathematical theories. Prior to this, she worked in various academic roles, contributing to the research and development of mathematical methods for equilibrium and fixed-point problems. Her expertise also extends to supervising graduate research projects.

šŸ…Awards and Honors:

Dr. Yazdi has earned recognition for her outstanding contributions to mathematical research. She has received several accolades, including awards for her publications and her innovative approaches to solving equilibrium and fixed-point problems. These honors reflect her significant impact on the field of Mathematics.

šŸ”¬Research Focus:

Maryam Yazdiā€™s research primarily focuses on iterative methods, equilibrium problems, and fixed-point theory in the context of non-expansive mappings and variational inequalities. She aims to develop new mathematical techniques to address complex optimization problems, with applications in computational mathematics and optimization theory. Her work on viscosity approximation methods and hybrid iterative methods is highly regarded.

Publication Top Notes:

  • “A Hybrid Viscosity Approximation Method for a Common Solution of a General System of Variational Inequalities, an Equilibrium Problem, and Fixed Point Problems”
    • Citations: 2
  • “A Viscosity Approximation Method for Solving General System of Variational Inequalities, Generalized Mixed Equilibrium Problems and Fixed Point Problems”
    • Citations: 1
  • “Strong Convergence Theorem for a General System of Variational Inequalities, Equilibrium Problems, and Fixed Point Problems”
    • Citations: 2
  • “Coefficient Bounds for a Subclass of Harmonic Mappings Convex in One Direction”
    • Citations: 1
  • “A New Extragradient Method for Equilibrium, Split Feasibility, and Fixed Point Problems”
    • Citations: 6

 

 

 

 

Dr. AimƩ Magloire Ntouga Abena | Computational Nanotechnology | Best Scholar Award

Dr. AimƩ Magloire Ntouga Abena | Computational Nanotechnology | Best Scholar Award

Dr. AimƩ Magloire Ntouga Abena, University of YaoundƩ 1, Cameroon

Dr. AimƩ Magloire Ntouga Abena is a dedicated physicist with a Ph.D. in Materials Science Physics from the University of YaoundƩ 1, Cameroon. Specializing in the design and optimization of functional materials, his work focuses on photovoltaics, materials modeling, and semiconductors. With expertise in numerical simulations of solar cells using SCAPS-1D software, Dr. Ntouga has a proven track record of research in optimizing solar cell efficiency, especially perovskite-based devices. Additionally, he has extensive teaching experience, having taught physics and mathematics at secondary and university levels. As a reviewer for several scientific journals, including Discover Electronics and Silicon, he actively contributes to advancing scientific knowledge in the field of material science. Dr. Ntouga seeks to collaborate with institutions or companies pioneering in fields like photonics, photovoltaics, and optics, leveraging his expertise in quantum mechanics, characterization, and materials modeling to contribute to the development of innovative solutions.

Professional Profile:

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AimƩ Magloire NTOUGA ABENA: A Strong Candidate for the Research Best Scholar Award

AimƩ Magloire NTOUGA ABENA demonstrates exceptional qualifications and achievements that make him a highly suitable candidate for the Research Best Scholar Award. His expertise in materials science, particularly his research on solar cells and functional materials, his dedication to teaching, and his notable contributions to scientific literature solidify his position as an outstanding scholar in his field.

šŸŽ“Education :

Dr. Ntouga holds a Ph.D. in Physics from the University of YaoundĆ© 1, where he specialized in materials science and defended his thesis on “Numerical Simulation of Perovskite Solar Cells Using SCAPS-1D Software,” graduating summa cum laude. Prior to his Ph.D., he earned a Master’s in Physics from the same institution, focusing on mechanics and material structures, with a dissertation on “Analysis of Structural and Thermodynamic Properties of Naproxen in the Liquid State Using Molecular Dynamics.” In addition, Dr. Ntouga completed a Telecommunications Engineering degree from the Ecole Nationale SupĆ©rieure des Postes, des TIC, where his dissertation focused on “Design and Implementation of a Three-Factor Authentication Access Control System for Securing ATM Data.” He also obtained a Secondary and High School Teacherā€™s Diploma from the Ecole Normale SupĆ©rieure de YaoundĆ©, specializing in physics, which has supported his educational career.

šŸ¢Experience :

Dr. Ntouga’s professional experience includes roles as a researcher and teacher. From December 2019 to September 2023, he worked as a researcher at the Materials Science Laboratory at the University of YaoundĆ© 1, Cameroon. Here, he conducted numerical simulations of solar cells, particularly perovskite-based devices, and worked with the SCAPS-1D software to optimize their efficiency. In addition to his research, he supervised master’s students and guided doctoral candidates. Dr. Ntouga is also an experienced educator. Since January 2024, he has been teaching physics and mathematics at the Centre de services scolaire des Draveurs in Gatineau, Quebec, Canada, for students in the “BaccalaurĆ©at International.” He previously taught high school physics at LycĆ©e de Biyem Assi and LycĆ©e de Djaloumi in Cameroon from 2018 to 2023, where he organized hands-on activities and provided valuable feedback to students. His academic contributions extend to the review of scientific papers.

šŸ…Awards and Honors:

Dr. Ntouga has received notable recognition for his contributions to the scientific community. He was awarded a certificate of recognition by Springer Nature for his work as a reviewer for the Discover Electronics and Silicon journals. Additionally, he received an award from the International Journal of Ceramic Engineering and Science for excellence in evaluating scientific articles. These accolades reflect his commitment to ensuring the quality, originality, and relevance of scientific publications in the field of materials science. Dr. Ntougaā€™s academic excellence was also recognized with summa cum laude honors during his Ph.D. program, a testament to his dedication to advancing knowledge in materials science. His skills in reviewing manuscripts for top journals have contributed to the ongoing development of research in his field, helping to maintain high standards of scientific rigor and innovation.

šŸ”¬Research Focus:

Dr. Ntougaā€™s primary research focus lies in the simulation and optimization of materials, particularly for photovoltaic applications. Specializing in perovskite solar cells, his work aims to enhance the efficiency, stability, and sustainability of these energy-generating devices. He has significant experience using simulation tools like SCAPS-1D to model the performance of solar cells and improve their efficiency through optimization of electrical parameters. Dr. Ntouga is also interested in understanding the fundamental material properties, including absorption, reflection, and light energy conversion, which are crucial for the advancement of photovoltaic technologies. His interdisciplinary research encompasses quantum mechanics, semiconductor physics, and the integration of novel materials into energy systems. By developing and modeling advanced materials, his work seeks to address key technical challenges in photovoltaics, while contributing to the broader field of materials science and sustainable energy solutions.

Publication Top Notes:

  • “Investigation of the Performance of a Sb2S3-Based Solar Cell with a Hybrid Electron Transport Layer (h-ETL): A Simulation Approach Using SCAPS-1D Software”
    • Citations: 1
  • “Theoretical simulation of a-Sipā€“iā€“n ultrathin-film solar cell using ZnO as a back reflector layer (BRL) via SCAPS-1D”
    • Citations: 3
  • “Design and Performance Enhancement of a GaAs-Based Homojunction Solar Cell Using Ga0.5In0.5P as a Back Surface Field (BSF): A Simulation Approach”
    • Citations: 4
  • “Computational analysis of mixed cation mixed halide-based perovskite solar cell using SCAPS-1D software”
    • Citations: 7
  • “Numerical investigation of solar cells based on hybrid organic cation perovskite with inorganic HTL via SCAPS-1D”
    • Citations: 29

 

 

 

Dr. Maurice Douryang | Computational Nanotechnology | Best Researcher Award

Dr. Maurice Douryang | Computational Nanotechnology | Best Researcher Award

Dr. Maurice Douryang, University of Dschang, Cameroon

Maurice Douryang, MPT, PhD, is a dedicated Cameroonian physiotherapist and educator With extensive training in physical therapy, sports medicine, and rehabilitation, he has significantly contributed to the field through both teaching and research. Currently serving as the Head of the Physiotherapy and Physical Medicine Department at the University of Dschang, Maurice is passionate about enhancing physiotherapy education and advancing evidence-based practices. His commitment to improving patient outcomes and mentoring future professionals reflects his expertise and dedication to the health and well-being of individuals.

Professional Profile:

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Summary of Suitability for the Best Researcher Awards

Maurice Douryang, MPT, PhD, is an exemplary candidate for the Best Researcher Awards, showcasing a blend of expertise in physiotherapy, sports medicine, and rehabilitation. As a dedicated educator and researcher from Cameroon, he has made significant strides in advancing physiotherapy practices through his commitment to teaching and research.

šŸŽ“Education:

Maurice Douryang holds multiple advanced degrees, beginning with a Master’s in Physiotherapy from the University of Dschang, where he graduated with high honors. He pursued further studies, completing a PhD program in Tissue Engineering and Rehabilitation at the University of Tor Vergata in Rome, Italy, focusing on injuries among university athletes. He also obtained a Master’s in Sports Medicine from the University of South Wales and is currently pursuing a Master’s in Physical Activity and Health Promotion at the University of Rome Tor Vergata.

šŸ¢Experience:

Maurice Douryang has accumulated a wealth of experience in academia and clinical practice. Currently, he serves as the Head of the Physiotherapy and Physical Medicine Department at the University of Dschang, where he has been a permanent lecturer since January 2023. His previous roles include teaching positions in several institutions, where he has delivered courses in physiotherapy and sports medicine. Additionally, he has gained valuable clinical experience in various rehabilitation settings, focusing on sports injuries and patient care. His commitment to excellence in education and clinical practice has positioned him as a respected leader in his field.

šŸ…Awards and Honors:

Maurice Douryang’s dedication to his field has earned him numerous accolades. He graduated with a “Very Good” distinction for his Master’s thesis on rehabilitative protocols for obese adults. His research on injuries in student-athletes has garnered attention and recognition within academic circles. Maurice also received certifications from prestigious institutions, including the FIFA Diploma in Football Medicine and several therapeutic techniques, enhancing his professional qualifications and standing in the medical community. His commitment to advancing sports medicine in Cameroon reflects his passion for his profession.

šŸ”¬Research Focus:

Maurice Douryang’s research is centered on strategies for preventing musculoskeletal injuries and addressing sudden cardiac events in athletes. His doctoral thesis examines the implications of sports injuries for physiotherapists in Cameroon, aiming to bridge gaps in knowledge and practice. He is also actively involved in developing rehabilitative protocols and interventions tailored to athletes’ needs. His research contributions aim to elevate standards in sports rehabilitation and promote healthy practices among athletes, ultimately enhancing their performance and well-being.

Publication Top Notes:

  • Prevention of Overhead Shoulder Injuries in Throwing Athletes: A Systematic Review
  • Knee Strengthening After Surgery: A Comprehensive Analysis Using Key Performance Indicators [Version 1; Peer Review: Awaiting Peer Review]
  • Injury Prevention and Health Protection Strategy in Cameroon University Athletes (PhD Academy Award)
  • Physical Activity for Health Promotion and Disease Prevention in Africa and Cameroon: A Call to Action
  • COVID-19 Considerations and Strategy for a Safe Return to International Football Competitions: An African Perspective

 

 

 

Dr. Avanka Lowe | Computational Nanotechnology | Best Researcher Award

Dr. Avanka Lowe | Computational Nanotechnology | Best Researcher Award

Dr. Avanka Lowe, University of Arizona, United States

Avanka Lowe is an Assistant Professor in Medical Imaging and an Attending Nuclear Medicine Physician at the University of Arizona and Banner University Medical Center in Tucson, Arizona. With a Doctor of Medicine from the University of Dhaka and extensive training in nuclear medicine, including a fellowship at Johns Hopkins School of Medicine, he is currently pursuing a Master of Computer and Information Technology from the University of Pennsylvania. Dr. Lowe has contributed significantly to the field, publishing numerous peer-reviewed articles and presenting his research at various prestigious conferences. His interests lie in the intersection of artificial intelligence and medical imaging, alongside personal pursuits such as yoga, meditation, and music.

Professional Profile:

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Suitability for the Best Researcher Award: Avanka Lowe

Avanka Lowe is an outstanding candidate for the Best Researcher Award due to his extensive academic background, impactful professional experience, and significant contributions to the field of medical imaging, particularly in nuclear medicine. His qualifications and achievements illustrate his dedication to advancing research and application in medical imaging technologies.

šŸŽ“Education:

Avanka Lowe is currently pursuing a Master of Computer and Information Technology (MCIT) online through the School of Engineering and Applied Science at the University of Pennsylvania, starting in August 2023. He completed a Fellowship in Nuclear Medicine and Clinical PET/CT at the Division of Nuclear Medicine and Molecular Imaging in the Department of Radiology at Johns Hopkins School of Medicine from July 2021 to June 2022. Prior to that, he underwent a Residency in Nuclear Medicine at the University of Texas Southwestern Medical Center (UTSW) in Dallas, Texas, from July 2018 to June 2021. Dr. Lowe also completed a PGY1 Internship in Internal Medicine at Kern Medical in Bakersfield, California, affiliated with the University of California, Los Angeles, from July 2016 to June 2017. He earned his Doctor of Medicine degree from the University of Dhaka in Bangladesh, where he studied from April 2004 to January 2010.

šŸ¢Professional Experience:

Avanka Lowe has been serving as an Assistant Professor in Medical Imaging and an Attending Nuclear Medicine Physician at the University of Arizona and Banner University Medical Center in Tucson, Arizona, since October 2022. In this role, he is actively involved in teaching and clinical practice, contributing his expertise in nuclear medicine and medical imaging to the academic and healthcare communities.

šŸ…Awards and Certifications:

Avanka Lowe holds several certifications that enhance his qualifications in the medical field and technology. He was certified by the American Board of Nuclear Medicine (ABNM) in November 2022. In addition, he completed a Certificate in Artificial Intelligence in Health Care from the Massachusetts Institute of Technology (MIT) in March 2021. Dr. Lowe also obtained a Certificate in Data Structure and Algorithms with Python, as well as a Certificate in Web Development Fundamentals, both from NuCamp in 2023. Furthermore, he is certified by the Educational Commission for Foreign Medical Graduates (ECFMG) in the USA, a certification he received in September 2015. Earlier in his career, he earned a Certificate in Computer Science from the National Institute of Business Management in Sri Lanka (NIBM) in June 2001.

Publication Top Notes:

  • Early Detection of Residual/Recurrent Lung Malignancies on Post-Radiation FDG PET/CT Algorithms
  • Prostate multi-parametric magnetic resonance imaging appearance of diffuse adenosis of the peripheral zone (DAPZ)

 

 

 

 

 

Prof. Dr. Gangai Selvi Ramalingam | Computational Nanotechnology | Best Researcher Award

Prof. Dr. Gangai Selvi Ramalingam | Computational Nanotechnology | Best Researcher Award

Prof. Dr. Gangai Selvi Ramalingam ,Tamil Nadu Agricultural University , India

Dr. R. Gangai Selvi is a distinguished Professor of Statistics in the Department of Physical Sciences & Information Technology at the Agricultural Engineering College & Research Institute, Tamil Nadu Agricultural University (TNAU), Coimbatore. With a strong academic background, she completed her Bachelorā€™s and Masterā€™s degrees in Statistics from PSG College of Arts & Science, Coimbatore, and an M. Phil in Statistics from Bharathidasan University, Trichy. Her PhD in Econometrics was pursued while serving at TNAU. Joining TNAU as a Senior Research Fellow in 2004, she was promoted to Assistant Professor in 2007 and has since contributed significantly to her field through innovative teaching methods, including the development of the ā€˜TNAU Statistics Quizā€™ mobile app. Her expertise spans over 18 years, during which she has also authored notable textbooks, organized numerous training programs, and received multiple prestigious awards, including the Young Scientist Award (2021) and the Best Faculty Award (2022). Dr. Selvi is an active member of several professional societies and has been recognized for her substantial contributions to research and academia.

Professional Profile:

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Summary of Suitability for Best Researcher Award for Dr. R. Gangai Selvi

In summary, Dr. Gangai Selvi embodies the qualities of an outstanding researcher and educator, making her a deserving recipient of the Best Researcher Award.

šŸŽ“Education:

Dr. R. Gangai Selvi completed her Bachelorā€™s and Masterā€™s degrees in Statistics at PSG College of Arts & Science, Coimbatore. She further pursued an M. Phil in Statistics from Bharathidasan University, Trichy, and later earned her PhD in Econometrics from Tamil Nadu Agricultural University (TNAU).

šŸ¢Work Experience:

Dr. R. Gangai Selvi began her career as a Senior Research Fellow (SRF) at Tamil Nadu Agricultural University (TNAU) on November 26, 2004. She was promoted to Assistant Professor in the Department of Physical Sciences & Information Technology at TNAU on April 17, 2007, and served in this role until November 20, 2017. Following this, she worked as a faculty member in the Department of Social Sciences at the Agricultural College & Research Institute, Killikulam, Thoothukudi from November 21, 2017, to September 7, 2021. Dr. Selvi has been serving as a Professor of Statistics in the Department of Physical Sciences & Information Technology at TNAU since September 8, 2021.

šŸ†Awards:

Dr. R. Gangai Selvi has received several prestigious awards in recognition of her contributions to academia and research. In 2014, she was honored with the Scientist Associate Award by the Society for Scientific Development in Agriculture & Technology (SSDAT). She was awarded the Young Scientist Award (YSA) by the Institute of Researchers in 2021. Her excellence in teaching was further acknowledged in 2022 when she received the Highly Effective 100 Teachers Award from Education Connect Plus and HypEdge Media, the Best Social Scientist Award from GRABS Awards, the Young Achiever Award from the Institute of Scholars (InSc), and the Best Faculty Award from the Indian Academic Researchersā€™ Association (IARA). Additionally, she was presented with the National Academic Excellence Award, specifically the Dr. Sarvepalli Radhakrishnan Best Teacher & Researcher Award in Statistics by the International Multidisciplinary Research Foundation (IMRF) in 2022. Most recently, in 2023, she was honored with the Asian Admirable Achievers Award.

Publication Top Notes:

  • Unmanned Aerial Vehicle-Measured Multispectral Vegetation Indices for Predicting LAI, SPAD Chlorophyll, and Yield of Maize by Parida, P.K., Somasundaram, E., Krishnan, R., Sangeetha, S.P., Gangai Selvi, R.
  • Farmersā€™ resilience index: A tool to metricize the resilience of the farmers towards natural disasters affecting agriculture in India by Raahalya, S., Balasubramaniam, P., Nirmala Devi, M., Maragatham, N., Gangai Selvi, R.
  • Estimation of soil carbon pools under major cropping systems of Mayiladuthurai district of Cauvery Delta Zone, Tamil Nadu, India by Prabakaran, S., Kaleeswari, R.K., Backiyavathy, M.R., Gangai Selvi, R., Sathiya Bama, K.