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

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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:

Scopus

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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.

🎓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.

🏢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.

🏅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.

🔬Research Focus:

Maryam Yazdi’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. Maurice Douryang | Computational Nanotechnology | Best Researcher Award

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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.

🎓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.

🏢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.

🏅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.

🔬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

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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.

🎓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.

🏢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.

🏅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

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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 Bachelor’s and Master’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 ‘TNAU Statistics Quiz’ 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:

Scopus

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.

🎓Education:

Dr. R. Gangai Selvi completed her Bachelor’s and Master’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).

🏢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.

🏆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 Researchers’ 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.
  • Farmers’ 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.

 

 

 

Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

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Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Yunpeng Xiong is a 24-year-old software engineering graduate from Nanchang Institute of Technology and a current master’s student in Cybersecurity at Hainan Normal University. He is a dedicated and responsible individual with a strong team spirit and the ability to handle significant work pressure. Yunpeng has a solid academic background, having achieved high scores in courses like WEB front-end development and Python programming, and holds an English proficiency of CET-6 (475). He has been recognized as an excellent class leader and Communist Youth League cadre and has mid-level certification in computer proficiency. Yunpeng has participated in several scientific competitions and projects, including a takeaway backend sales management system and a library management system, utilizing technologies like SpringBoot, MySQL, MyBatis, and Vue. Currently, he is working on a research paper proposing a hybrid neural network model for ticket text classification based on BERT, BiLSTM, and CNN.

Professional Profile:

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🎓Education:

Yunpeng Xiong is currently pursuing a Master’s in Cybersecurity at Hainan Normal University, where he is engaged in research on a hybrid neural network model (BERT-BiLSTM-CNN) for ticket text classification. He completed his Bachelor’s in Software Engineering at Nanchang Institute of Technology, where he excelled in courses such as WEB front-end development and Python programming, achieving high scores, including a 92 in WEB front-end development.

🏢Work Experience:

Yunpeng Xiong has served as a Class Leader and Event Organizer, where he planned and managed various school and college-level activities. His project experience includes developing a Takeaway Backend Sales Management System (May 2021 – September 2021), where he was responsible for project setup, database design and implementation, and backend management system development, utilizing technologies such as SpringBoot, MySQL, and MyBatis Plus. He also worked on a Library Management System (February 2022 – May 2022), handling project setup, database design, backend system development, and front-end webpage creation using ElementUI and Axios. This project employed technologies like SpringBoot, MySQL, MyBatis, Vue, and ElementUI.

🏆Awards and Achievements:

Yunpeng Xiong has been recognized as an Excellent Class Leader and an Outstanding Communist Youth League Cadre. He has achieved mid-level certification in computer proficiency and has participated in scientific competitions, earning accolades such as the Network Technology Challenge award.

Publication Top Notes:

Title: Research on the Classification of Work Orders based on BERT and Feature Fusion

 

 

Mr. Joel de C. Nogueira Diniz | Computational Nanotechnology Awards | Best Researcher Award

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Mr. Joel de C. Nogueira Diniz | Computational Nanotechnology Awards | Best Researcher Award

Mr. Joel de C. Nogueira Diniz , UFMA, Brazil

Joel de C. Nogueira Diniz is a highly accomplished professional with extensive experience in civil engineering, particularly in the areas of structural design, BIM implementation, and dredging operations. With a background spanning multiple disciplines, including civil engineering, computer science, and hydrography, Joel has excelled in both academic and professional spheres. He holds a Master’s degree in Processos Construtivos from the Universidade Federal do Pará, where his research focused on predictive maintenance in reinforced concrete structures using BIM and computational programming optimization. Joel has also pursued specialized education, including an MBA in BIM from the Instituto Brasileiro de Educação Continuada and the Universidade Paulista. His professional journey includes roles as a Superintendent, Project Manager, and Civil Engineer at Van Oord do Brasil, a prominent company in dredging and marine contracts. Joel’s expertise extends to teaching, where he has served as a professor at various institutions, contributing to the education of future engineers. Passionate about sharing knowledge, he has delivered numerous lectures and seminars on topics such as BIM implementation, dredging operations, and structural design. Joel’s dedication to advancing engineering practices, coupled with his academic achievements and practical experience, underscores his commitment to innovation and excellence in the field of civil engineering.

Professional Profile:

Orcid

🎓 Education:

Joel de C. Nogueira Diniz pursued a diverse educational journey, culminating in a wealth of knowledge and expertise. He obtained his Master of Science in Processos Construtivos from the Universidade Federal do Pará, São Luís-MA, during the period of 2016-2018. Prior to that, he completed an MBA in BIM Platform – Modelagem, Planejamento e Orçamento at the Instituto Brasileiro de Educação Continuada e Universidade Paulista, São Luís-MA, from 2015 to 2017. Additionally, he acquired a Post-Graduation in Estruturas de Concreto e Fundações from the Instituto Brasileiro de Educação Continuada e Universidade Cidade de São Paulo, São Luís-MA, spanning from 2012 to 2014. His foundational education includes a Bachelor of Science in Engenharia Civil from the Unidade de Ensino Superior Dom Bosco, São Luís-MA, earned between 2009 and 2013, and a Bachelor of Science in Ciências da Computação from the Universidade Federal do Maranhão, São Luís-MA, completed from 2000 to 2005.

💼 Experience:

Joel de C. Nogueira Diniz has built a multifaceted career, currently serving as the Superintendente/Gerente de Projetos/Engenheiro Civil/Técnico em Batimetria at Van Oord do Brasil in São Luís – MA since September 1, 1998, showcasing his expertise in project management, civil engineering, and bathymetry. Concurrently, he shares his knowledge and experience as a Professor of Civil Engineering at UNDB in São Luís – MA, a role he has held since May 11, 2016. Additionally, he has contributed to the academic sphere as a Professor at Navigare in São Luís – MA since February 12, 2016. Earlier in his career, he served as a Técnico em Edificações at Âncora in São Luís-MA from February 17, 1997, to August 24, 1998.

📚 Academic Involvement:

At UNDB in São Luís – MA, Joel de C. Nogueira Diniz has contributed significantly through his roles in Orientações and Bancas, providing guidance and expertise to students in their academic pursuits. He has also shared his insights and knowledge through Palestras Proferidas at various locations, enriching the academic and professional community with his expertise. Additionally, his contributions extend to the realm of publications, with notable works featured in the Agência Portuária de Notícias in São Luís – MA.

Publication Top Notes:

Title: A One-Step Methodology for Identifying Concrete Pathologies Using Neural Networks—Using YOLO v8 and Dataset Review

  • Journal: Applied Sciences
  • Published Date: 2024-05-20

 

Title: A Method for Detecting Pathologies in Concrete Structures Using Deep Neural Networks

  • Journal: Applied Sciences
  • Published Date: 2023-05