South China University of Technology | China

Mr. Muhammad Hussain Ghazali is a doctoral researcher in Food Science and Engineering, recognized for pioneering contributions in meat science, nonthermal preservation technologies, and biobased packaging, with a particular distinction for advancing camel meat research in Pakistan. He holds a Doctor of Veterinary Medicine, an M.Phil. in Meat Science and Technology, and is pursuing a Ph.D. with a specialization in cold plasma–integrated bio-based packaging systems for meat quality and safety monitoring. His professional experience spans research, editorial service, mentoring, and scientific reviewing, including active peer-review contributions for leading international journals and verified reviewer status through global academic platforms. His research focuses on meat quality evaluation, cold plasma applications, sustainable packaging, analytical characterization techniques, and emerging omics-based food quality assessment, supported by competence in advanced data analysis tools. He has contributed to the scientific community through publications, collaborative projects, and active engagement in international research networks across multiple regions. His recognitions include editorial and reviewer certifications, distinctions for peer-review excellence, and involvement with reputable scientific bodies. Demonstrating strong analytical capacity, leadership potential, and a global research outlook, he continues to build a growing academic profile that reflects innovation, scientific rigor, and commitment to advancing food safety and engineering research.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Ghazali, M. H., Bakhsh, M., Zainab, U., Faraz, A., Munir, M. U., Channo, A., … (2023). Camel meat production, consumption and nutritive value: Present status and future prospects. International Journal of Camel Science, 5, 123–136.

2. Bakhsh, M., Ghazali, M. H., Yar, M. K., Channo, A., Kashif, M., Ijaz, M., … (2023). The role of fish in global food and nutrition security: Current aspects and future prospects. University of Sindh Journal of Animal Sciences, 7(4), 23–35.

3. Ghazali, M. H., Keener, K. M., Pan, Y., Zou, S., … (2025). Cold plasma-integrated bio-based packaging for meat quality and safety monitoring: A mini review. Food Wellness, 1(1), 100004.

4. Muhammad Hussain Ghazali, L. B., & Saleem, F. (2025). Cold plasma and high-pressure processing in sustainable meat preservation: A review. Food, Nutrition, and Health, 2(22), 1–14.

5. Shah, S. H. R., Qamar, M. H., Ghazali, M. H., Ali, S., Bilal, M., Fawad, A., Khalil, H. U. R., … (2024). New insights in uterine involution and ovarian resumption in domestic animals. Acta Scientific Veterinary Sciences, 6(6).

Mr. Muhammad Hussain Ghazali’s research advances innovative, sustainable approaches to meat safety and quality, contributing to global food security through nonthermal preservation and biobased packaging technologies. His work supports industry transformation by promoting safer, eco-friendly processing solutions and expanding scientific understanding of underexplored meat resources.

Na Eun Lee | Extracellular Vesicles | Best Researcher Award

Published on 17/10/202517/10/2025 by World Top Scientists

Ms. Na Eun Lee | Extracellular Vesicles | Best Researcher Award

Senior Research Scientist | Sungkyunkwan University | South Korea

Ms. Na Eun Lee, Ph.D. Candidate at the Department of Health Sciences and Technology (SAIHST), Sungkyunkwan University, is an accomplished researcher specializing in regenerative medicine, stem cell biology, and translational health sciences. She holds a Master’s degree in Health Sciences and Technology from Sungkyunkwan University and a Bachelor’s degree in Applied Biochemistry from Konkuk University. Currently pursuing her doctoral studies, she integrates molecular and cellular approaches to advance extracellular vesicle-based therapeutics and skin rejuvenation technologies. Throughout her professional career, Ms. Lee has held senior scientific and leadership positions at prominent biomedical companies and research institutions, where she directed projects in cell therapy development, angiogenesis research, and clinical translation. Her scholarly contributions include publications in high-impact journals such as Cytotherapy, Biochemical and Biophysical Research Communications, and the International Journal of Molecular Sciences, highlighting innovations in mesenchymal stromal cell biology and nano-encapsulation delivery systems. Renowned for her expertise in extracellular vesicle analysis, molecular diagnostics, and regenerative research, Ms. Lee’s work bridges fundamental science and clinical application. She has been recognized for her research excellence and leadership in biomedical innovation, contributing actively to the advancement of stem cell-based therapeutic strategies and representing a distinguished example of scientific dedication and translational impact in the field of health sciences and technology.

Profiles: ORCID

Featured Publications

1 S. J. Yang, J. K. Son, S. J. Hong, N. E. Lee, D. Y. Shin, S. H. Park, S. B. An, Y. C. Sung, J. B. Park, and H. M. Yang, et al., “Ectopic vascularized bone formation by human umbilical cord-derived mesenchymal stromal cells expressing bone morphogenetic factor-2 and endothelial cells,” Biochemical and Biophysical Research Communications.

2 N. E. Lee, S. J. Kim, S. J. Yang, S. Y. Joo, H. Park, K. W. Lee, H. M. Yang, and J. B. Park, “Comparative characterization of mesenchymal stromal cells from multiple abdominal adipose tissues and enrichment of angiogenic ability via CD146 molecule,” Cytotherapy.

3 H. M. Yang, H. J. Choi, D. P. Hong, S. Y. Joo, N. E. Lee, J. Y. Song, Y. L. Choi, J. Lee, D. Choi, B. Kim, et al., “The analysis of mutations and exon deletions at TSC2 gene in angiomyolipomas associated with tuberous sclerosis complex,” Experimental and Molecular Pathology.

Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

Published on 27/06/202527/06/2025 by World Top Scientists

Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

Senior Lecturer at Kristianstad University, Sweden

Dr. Zeinab Shahbazi is an accomplished researcher specializing in Reinforcement Learning, Deep Learning, Natural Language Processing, Blockchain, and Knowledge Discovery. With a Ph.D. in Computer Engineering from Jeju National University, South Korea, she has over eight years of research experience in AI and data-driven technologies. Dr. Shahbazi has held postdoctoral positions in Spain and Sweden and is currently a Senior Lecturer in AI at Kristianstad University. Her research focuses on enhancing state-of-the-art architectures and developing innovative solutions in software-based intelligent systems. She has been recognized with several academic awards, including a Presidential Award and Best Paper Presentation honors. Fluent in multiple languages and technically skilled in programming and data systems, she actively contributes as a reviewer for high-impact journals. Her international collaborations and funded research projects reflect her commitment to advancing AI applications. Dr. Shahbazi is a dedicated and forward-thinking researcher making significant contributions to the field of computer science.

Professional Profile

Google Scholar

Education

Dr. Zeinab Shahbazi holds a Ph.D. in Computer Engineering from Jeju National University, South Korea, where she completed her dissertation on cryptocurrency price prediction using blockchain frameworks, graduating with an impressive CGPA of 4.32/4.5. She also earned a Master’s degree in Computer Engineering from Chonbuk National University, Korea, with a thesis on deep learning techniques for paragraph focus analysis. Her foundational education includes a Bachelor’s degree in Computer Engineering from Pooyesh University in Iran. Throughout her academic journey, she received several scholarships and honors, reflecting her consistent academic excellence. Her education has been firmly rooted in AI, software systems, and intelligent technologies, providing her with a robust theoretical and practical grounding. This strong academic background has played a pivotal role in shaping her as a multidisciplinary researcher with global exposure, capable of addressing complex problems in AI and data science with both depth and innovation.

Professional Experience

Dr. Zeinab Shahbazi has accumulated diverse international professional experience in research and academia. She is currently a Senior Lecturer in Artificial Intelligence at Kristianstad University, Sweden. Prior to this, she held postdoctoral researcher positions at Halmstad University in Sweden and at the BCN-AIM Lab at the University of Barcelona in Spain. Her work has consistently focused on applied AI, reinforcement learning, and blockchain-based systems. Dr. Shahbazi has also led and participated in international research collaborations, notably securing a Vinnova-funded international staff exchange project with a partner institution in South Korea. Her career path showcases her ability to transition between theoretical research and practical implementations, including experience in advanced programming, system architecture, and AI model development. These roles have enabled her to contribute to both the academic and industrial applications of intelligent technologies, while also strengthening her leadership and mentoring capabilities in multidisciplinary, multicultural environments.

Research Interest

Dr. Zeinab Shahbazi’s research interests are deeply rooted in intelligent computing systems, with a focus on Reinforcement Learning, Deep Learning, Natural Language Processing (NLP), Blockchain, Knowledge Discovery, and their integration within modern technological ecosystems such as IoT, edge computing, and big data platforms. Her core research ambition lies in improving existing AI models and architectures, addressing their limitations, and introducing novel components to enhance performance and applicability. She has made notable contributions to the software aspects of AI, particularly through her work on knowledge-driven systems and blockchain-based data prediction. Dr. Shahbazi combines theoretical advancements with practical implementations, bridging the gap between academic research and real-world applications. Her multidisciplinary focus reflects a keen interest in innovation, system integration, and cross-domain problem-solving. This makes her work highly relevant to both academic audiences and industry stakeholders interested in deploying intelligent, data-driven systems for practical and scalable use.

Award and Honor

Dr. Zeinab Shahbazi has received multiple awards and honors in recognition of her academic excellence and research contributions. During her Ph.D. at Jeju National University, she was awarded the prestigious Presidential Award for distinguished research publications. She also received a university research grant in 2021 for her outstanding output during 2019–2020. Earlier in her academic career, she was a recipient of the BK government scholarship and multiple semester-based scholarships during her Master’s studies at Chonbuk National University. Her early academic promise was also recognized with a government-funded scholarship during her undergraduate studies in Iran. Additionally, she won the Best Paper and Presentation Award at the ITEC Conference in 2019, further solidifying her reputation in the research community. These honors demonstrate a consistent trajectory of excellence, reflecting both the quality and impact of her research work, as well as her ability to compete and stand out in international academic environments.

Conclusion

Dr. Zeinab Shahbazi exemplifies a dynamic and impactful researcher in the field of computer science, particularly in AI, machine learning, and data-driven systems. Her strong educational background, diverse international research experience, and cross-disciplinary expertise make her a well-rounded academic and innovator. Her ability to secure research funding, collaborate internationally, and publish high-quality work underlines her potential for long-term academic leadership. Recognized through various awards and honors, she has demonstrated excellence not only in individual performance but also in contributing to the broader scientific community through peer review and collaboration. Fluent in multiple languages and culturally adaptive, Dr. Shahbazi brings global perspective and technical depth to every role she undertakes. With a forward-thinking mindset and a commitment to advancing the state of AI, she stands as a strong candidate for high-level recognitions such as the Best Researcher Award and is poised to continue making meaningful contributions to academia and beyond.

Publications Top Notes

Title: Integration of blockchain, IoT and machine learning for multistage quality control and enhancing security in smart manufacturing
Authors: Z. Shahbazi, Y.C. Byun
Year: 2021
Citations: 187
Title: A procedure for tracing supply chains for perishable food based on blockchain, machine learning and fuzzy logic
Authors: Z. Shahbazi, Y.C. Byun
Year: 2020
Citations: 140
Title: Towards a secure thermal-energy aware routing protocol in wireless body area network based on blockchain technology
Authors: Z. Shahbazi, Y.C. Byun
Year: 2020
Citations: 123
Title: Smart manufacturing real-time analysis based on blockchain and machine learning approaches
Authors: Z. Shahbazi, Y.C. Byun
Year: 2021
Citations: 72
Title: Toward improving the prediction accuracy of product recommendation system using extreme gradient boosting and encoding approaches
Authors: Z. Shahbazi, D. Hazra, S. Park, Y.C. Byun
Year: 2020
Citations: 68
Title: Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework
Authors: Z. Shahbazi, Y.C. Byun
Year: 2021
Citations: 64
Title: Product recommendation based on content-based filtering using XGBoost classifier
Authors: Z. Shahbazi, Y.C. Byun
Year: 2019
Citations: 64
Title: Agent-based recommendation in E-learning environment using knowledge discovery and machine learning approaches
Authors: Z. Shahbazi, Y.C. Byun
Year: 2022
Citations: 63
Title: Fake media detection based on natural language processing and blockchain approaches
Authors: Z. Shahbazi, Y.C. Byun
Year: 2021
Citations: 63
Title: Improving the cryptocurrency price prediction performance based on reinforcement learning
Authors: Z. Shahbazi, Y.C. Byun
Year: 2021
Citations: 60
Title: Machine learning-based analysis of cryptocurrency market financial risk management
Authors: Z. Shahbazi, Y.C. Byun
Year: 2022
Citations: 58
Title: Lithium-ion battery estimation in online framework using extreme gradient boosting machine learning approach
Authors: S. Jafari, Z. Shahbazi, Y.C. Byun, S.J. Lee
Year: 2022
Citations: 58
Title: Blockchain-based event detection and trust verification using natural language processing and machine learning
Authors: Z. Shahbazi, Y.C. Byun
Year: 2021
Citations: 51
Title: Knowledge discovery on cryptocurrency exchange rate prediction using machine learning pipelines
Authors: Z. Shahbazi, Y.C. Byun
Year: 2022
Citations: 42
Title: Lithium-ion battery health prediction on hybrid vehicles using machine learning approach
Authors: S. Jafari, Z. Shahbazi, Y.C. Byun
Year: 2022
Citations: 36

Muawia Elsadig | Computer Science | Best Researcher Award

Published on 12/06/202512/06/2025 by World Top Scientists

Dr. Muawia Elsadig | Computer Science | Best Researcher Award

Assistant Professor at Imam Abdulrahman Bin Faisal University, Saudi Arabia

Dr. Muawia A. Elsadig is an accomplished Assistant Professor at Imam Abdulrahman Bin Faisal University in Saudi Arabia, with extensive experience in computer science, particularly in cybersecurity, information security, AI, machine learning, and bioinformatics. He has held academic positions at renowned institutions across Sudan, the UAE, and Saudi Arabia. Dr. Elsadig has authored over 30 peer-reviewed publications, many of which appear in high-impact Q1 and Q2 journals such as IEEE Access. His recent research focuses on cyber threat detection, secure communications, AI applications, and ethical issues in emerging technologies. He also serves as a reviewer for several leading international journals and contributes actively to institutional research development through editing, reviewing, and ethical oversight roles. With a consistent research record, interdisciplinary expertise, and international teaching background, Dr. Elsadig demonstrates strong leadership and scholarly contributions, making him a highly deserving candidate for recognition through prestigious research awards.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Muawia A. Elsadig holds a strong academic foundation in computer engineering and science. He earned his B.Sc. (Honors) in Computer Engineering from the University of Gezira, Sudan, in 2000, followed by an M.Sc. in Computer Engineering and Networks from the same institution in 2003, graduating with first-class honors. He later completed his Ph.D. in Computer Science, specializing in Information Security, at Sudan University of Science and Technology (SUST) in 2018. His academic progression reflects a focused commitment to cybersecurity and advanced computing disciplines. Each stage of his education laid a strong theoretical and technical groundwork, preparing him for a dynamic career in both academia and research. His doctoral studies, in particular, sharpened his expertise in network security and information assurance, providing a springboard for his subsequent contributions to the fields of cyber defense, machine learning, and secure systems. Dr. Elsadig’s educational background is both comprehensive and rigorously specialized.

Professional Experience

Dr. Muawia A. Elsadig has over two decades of professional experience in academia and industry, reflecting his deep engagement with computing disciplines. He has served in teaching and research roles at prominent universities including the University of Gezira in Sudan, the University of Sharjah in the UAE, and King Khalid University in Saudi Arabia. Since 2018, he has held the position of Assistant Professor at Imam Abdulrahman Bin Faisal University (IAU) in Saudi Arabia, contributing to both the Computer Science Department and the university’s Deanship of Scientific Research. His responsibilities span teaching, curriculum development, research supervision, and participation in ethical review processes as a member of the Institutional Review Board (IRB). He has also been involved in the editorial review of internal research grants. His industry experience complements his academic roles, providing a practical dimension to his teaching and research. Dr. Elsadig’s professional journey is marked by dedication, cross-cultural competence, and research leadership.

Research Interest

Dr. Muawia A. Elsadig’s research interests are broad and interdisciplinary, encompassing cybersecurity, information security, network security, artificial intelligence, machine learning, deep learning, and bioinformatics. His work explores both theoretical foundations and practical applications, with a strong focus on developing lightweight, efficient models for detecting cyber threats such as denial-of-service (DoS) attacks and covert channels. He is also interested in the ethical implications of emerging technologies, having published insightful work on the societal impacts of AI tools like ChatGPT and machine translation systems. Dr. Elsadig has applied machine learning techniques to critical areas such as breast cancer detection and secure data encryption, demonstrating a commitment to using AI for social good. His research often bridges technical rigor with applied innovation, and he collaborates on projects that integrate computing with healthcare and secure communications. This interdisciplinary approach makes his research both relevant and impactful in today’s fast-evolving technological landscape.

Award and Honor

Dr. Muawia A. Elsadig has received multiple awards and recognitions for his research excellence, particularly for publishing in high-impact, peer-reviewed international journals indexed in the Web of Science and Scopus (Q1 and Q2). These recognitions reflect the high quality and scholarly contribution of his research in fields such as cybersecurity, AI, and bioinformatics. He has also been acknowledged by his institutions for his active role in scientific research development, including grant proposal evaluations and ethical oversight. Beyond individual publications, his selection as a peer reviewer for top-tier journals like IEEE Access and Artificial Intelligence Review is an implicit honor, affirming his expertise and credibility in his research domains. While the profile does not list named external awards or grants, the consistent publication record, academic appointments, and responsibilities he holds at respected institutions are strong indicators of his professional esteem. These honors collectively highlight his value as a research leader and academic mentor.

Conclusion

In conclusion, Dr. Muawia A. Elsadig stands out as a highly accomplished academic and researcher in the domains of computer science and cybersecurity. With a solid educational background, extensive teaching experience, and a strong portfolio of international publications, he has made significant contributions to both theoretical advancements and practical solutions in his field. His work bridges artificial intelligence, secure systems, and bioinformatics, reflecting both depth and breadth in his research pursuits. Dr. Elsadig’s ongoing involvement in peer review, research ethics, and interdisciplinary collaboration highlights his commitment to advancing knowledge and ensuring research integrity. He is not only a prolific scholar but also an active academic citizen dedicated to mentoring, ethical governance, and the strategic development of research agendas. His achievements and leadership position him as a compelling candidate for prestigious honors such as the Best Researcher Award, and he continues to be a driving force in his academic community and beyond.

Publications Top Notes

Title: The Impact of Artificial Intelligence on Language Translation: A Review
Authors: YA Mohamed, A Khanan, M Bashir, AHHM Mohamed, MAE Adiel, MA Elsadig
Year: 2024
Citations: 124
Title: Breast Cancer Detection Using Machine Learning Approaches: A Comparative Study
Authors: MA Elsadig, A Altigani, HT Elshoush
Year: 2023
Citations: 60
Title: VANETs Security Issues and Challenges: A Survey
Authors: MA Elsadig, YA Fadlalla
Year: 2016
Citations: 60
Title: Detection of Denial-of-Service Attack in Wireless Sensor Networks: A Lightweight Machine Learning Approach
Author: MA Elsadig
Year: 2023
Citations: 52
Title: Covert Channel Detection: Machine Learning Approaches
Authors: MA Elsadig, A Gafar
Year: 2022
Citations: 49
Title: A Polymorphic Advanced Encryption Standard – A Novel Approach
Authors: A Altigani, S Hasan, B Barry, S Naserelden, MA Elsadig, HT Elshoush
Year: 2021
Citations: 46
Title: Survey on Covert Storage Channel in Computer Network Protocols: Detection and Mitigation Techniques
Authors: MA Elsadig, YA Fadlalla
Year: 2016
Citations: 37
Title: Security Issues and Challenges on Wireless Sensor Networks
Authors: MA Elsadig, A Altigani, MA Baraka
Year: 2019
Citations: 26
Title: Network Protocol Covert Channels: Countermeasures Techniques
Authors: MA Elsadig, YA Fadlalla
Year: 2017
Citations: 26
Title: Information Extraction Methods and Techniques in Chemical Documents: Survey
Authors: M Abdelmagid, AA, Mubarak Himmat
Year: 2015
Citations: 24
Title: Mobile Ad Hoc Network Routing Protocols: Performance Evaluation and Assessment
Authors: MA Elsadig, A Yahia
Year: 2018
Citations: 22
Title: Packet Length Covert Channel: A Detection Scheme
Authors: MA Elsadig, YA Fadlalla
Year: 2018
Citations: 20
Title: A Balanced Approach to Eliminate Packet Length-Based Covert Channels
Authors: MA Elsadig, YA Fadlalla
Year: 2017
Citations: 17
Title: Analyzing the Performance of the AES Block Cipher Modes of Operation
Authors: A Altigani, M Abdelmagid, B Barry
Year: 2016
Citations: 13
Title: ChatGPT and Cybersecurity: Risk Knocking the Door
Author: MA Elsadig
Year: 2024
Citations: 10

Evelina Domashevskaya | Materials Science | Best Researcher Award

Published on 26/05/202526/05/2025 by World Top Scientists

Prof. Dr. Evelina Domashevskaya | Materials Science | Best Researcher Award

Professor at Voronezh State University, Russia

Professor Evelina Pavlovna Domashevskaya is a distinguished scientist and academic at Voronezh State University, Russia, with a PhD in Physics earned at the age of 32. She has made significant contributions to science, evidenced by over 300 publications in national and international journals and presentations at more than 70 conferences. Recognized as an Academician of the Russian Academy of Natural Sciences and an Honored Scientist of the Russian Federation, she also serves as an expert in the Federal Register of Experts in the Scientific and Technical Sphere. Her accolades include winning the prestigious 2021 All-Russian Competition “Golden Names of Higher School.” Currently, she leads cutting-edge research on hybrid core-shell systems for targeted drug delivery, funded by the Russian Science Foundation (Grant No. 25-22-00292). Her work reflects a blend of academic excellence, national recognition, and impactful scientific inquiry, making her a prominent figure in the field of materials science and applied physics.

Professional Profile

Scopus Profile
ORCID Profile

Education

Professor Evelina Pavlovna Domashevskaya completed her PhD in Physics from Voronezh State University, Russia, at the age of 32. Her academic training provided a strong foundation in materials science and solid-state physics. Through rigorous study and early research involvement, she developed expertise in experimental and theoretical approaches to advanced materials. Her educational background laid the groundwork for a lifelong commitment to scientific inquiry and innovation. As a graduate of one of Russia’s prominent universities, she benefited from exposure to high-caliber faculty and a robust research environment. Her academic development was also shaped by the changing landscape of science and technology in post-Soviet Russia, which demanded adaptability and deep technical knowledge. Over the years, her education has evolved through continuous learning and active participation in scientific communities, enabling her to stay at the forefront of research in physics, nanostructures, and materials applications for health and technology.

Professional Experience

Professor Domashevskaya has had a long and impactful professional career at Voronezh State University, where she currently holds a professorship. Over the years, she has served in various academic and research roles, playing a pivotal part in advancing the university’s scientific reputation. With experience in lecturing, mentoring graduate students, and leading research projects, she has significantly contributed to the university’s physics department. Her leadership extends beyond teaching, encompassing research management, grant coordination, and academic program development. She has presented her work at over 70 national and international conferences, facilitating scholarly exchange and collaboration. In addition to her institutional duties, she is also a registered expert in the Federal Register of Experts in the Scientific and Technical Sphere of the Ministry of Science and Higher Education of the Russian Federation. This role highlights her expertise and reliability in assessing and guiding scientific developments across Russia’s academic and technical sectors.

Research Interest

Professor Domashevskaya’s research centers on materials science, nanotechnology, and their applications in biomedical engineering. Her work explores the structure and properties of nanostructured and hybrid materials, with a particular focus on porous silicon and its potential for targeted drug delivery systems. She investigates the sorption and luminescent properties of core-shell hybrid systems, aiming to develop innovative materials for healthcare applications. Her interdisciplinary approach bridges physics, chemistry, and medicine, contributing to the development of functional materials with real-world utility. Her ongoing research, supported by the Russian Science Foundation through Grant No. 25-22-00292, reflects her commitment to solving complex scientific problems with societal relevance. By integrating experimental research with theoretical modeling, she aims to enhance the performance and specificity of drug delivery systems, opening new possibilities in diagnostics and therapy. Her interests also extend to spectroscopy, thin films, and interface physics, marking her as a versatile and forward-thinking researcher.

Award and Honor

Professor Evelina Domashevskaya has earned numerous accolades that highlight her excellence and impact in science and academia. She is an Academician of the Russian Academy of Natural Sciences, reflecting her status as a leading expert in her field. Her designation as an Honored Scientist of the Russian Federation underscores her contributions to national scientific advancement. In 2021, she was a recipient of the prestigious “Golden Names of Higher School” award, which recognizes outstanding educators and researchers across Russia. Additionally, she has been entrusted as an expert in the Federal Register of Experts in the Scientific and Technical Sphere, affirming her credibility in evaluating national research initiatives. Her most recent achievement includes securing the Russian Science Foundation Grant No. 25-22-00292 for her pioneering research on hybrid nanostructures for drug delivery (2025–2026). Collectively, these honors validate her scientific leadership, innovation, and dedication to advancing the frontiers of applied and theoretical physics.

Conclusion

Professor Evelina Pavlovna Domashevskaya stands as a highly accomplished scientist whose career blends academic rigor, research innovation, and national service. With a PhD from Voronezh State University and a professorship at the same institution, she has made sustained contributions to materials science and nanotechnology. Her over 300 publications and participation in 70+ scientific conferences reflect an active and influential research profile. Recognized as an Honored Scientist and Academician, she has also earned top honors such as the “Golden Names of Higher School” award and prestigious national research grants. Her work on hybrid nanostructures for targeted drug delivery represents a critical intersection of physics and medicine, offering high societal impact. Through her mentorship, publications, and service to the scientific community, Professor Domashevskaya has proven herself to be a leader in Russian and international research. She is an exemplary candidate for top research awards, with a career marked by innovation, dedication, and excellence.

Publications Top Notes

Title: Feature of Nonlinear Electromagnetic Properties and Local Atomic Structure of Metals in Two Systems of Nanocomposites Cox(MgF2)100−x and (CoFeZr)x(MgF2)100−x
Authors: E.P. Domashevskaya, S.A. Ivkov, E.A. Gan’shina, V.G. Vlasenko, A.V. Sitnikov
Year: 2025
Title: Microstructural and Hydrophilic Properties of Polylactide Polymer Samples with Various 3D Printing Patterns
Authors: A.S. Lenshin, V.E. Frolova, S.V. Kannykin, E.P. Domashevskaya
Year: 2024
Citations: 1
Title: Microstructural and Hydrophilic Properties of Polyethylene Terephthalate Glycol Polymer Samples with Different 3D Printing Patterns
Authors: A.S. Lenshin, V.E. Frolova, S.A. Ivkov, E.P. Domashevskaya
Year: 2024
Citations: 2
Title: Effect of Aluminum on the Structure and Electrical Properties of Amorphous Diamond-Like Silicon-Carbon Films
Authors: A.I. Popov, A.D. Barinov, V.M. Yemets, M.Y. Presnyakov, M.A. Shapetina
Year: 2023
Title: Nonlinear Electromagnetic Properties of Thinfilm Nanocomposites (CoFeZr)x(MgF2)100−x
Authors: E.P. Domashevskaya, S.A. Ivkov, P.V. Seredin, A.V. Sitnikov, E.A. Gan’shina
Year: 2023
Citations: 1
Title: Thin-Film Oxide Materials for Ozone Detection in Thermal Modulation Mode
Authors: S.V. Ryabtsev, N.Y. Obvintseva, D.A.A. Ghareeb, S.Y. Turishchev, E.P. Domashevskaya
Year: 2023
Citations: 1
Title: Formation of the Al3Si Metastable Phase in Al-Si Films Obtained by Ion-Beam Sputtering According to Experimental and Theoretical Data
Authors: V.A. Terekhov, E.P. Domashevskaya, S.I. Kurganskiĩ, A.V. Sitnikov, B.L. Agapov
Year: 2023
Citations: 0
Title: Nonlinear Transport and Magnetic/Magneto-Optical Properties of Cox(MgF2)100-x Nanostructures
Authors: S.A. Ivkov, K.A. Barkov, E.P. Domashevskaya, A.V. Sitnikov, P.V. Seredin
Year: 2023
Citations: 3
Title: Features of the Resistive Response to Ozone of Semiconductor PdO Sensors Operating in Thermomodulation Mode
Authors: S.V. Ryabtsev, N.Y. Obvintseva, V.V. Chistyakov, S.Y. Turishchev, E.P. Domashevskaya
Year: 2023
Citations: 1

XinYing Chew | Computer Science | Young Scientist Award

Published on 06/03/202506/03/2025 by World Top Scientists

Assoc. Prof. Dr. XinYing Chew | Computer Science | Young Scientist Award

Associate Professor at Universiti Sains Malaysia (USM), Malaysia

Associate Professor Ts. Dr. Chew XinYing is a distinguished academic and researcher at Universiti Sains Malaysia (USM), where she serves in the School of Computer Sciences. With extensive expertise in industrial computing and advanced analytics, she has made significant contributions to data-driven research, quality control, and artificial intelligence applications. As a Program Manager for both Computer Science and Offshore Programs at USM, she plays a vital role in shaping academic curricula and fostering industry collaborations. Her work spans interdisciplinary domains, including AI in tourism, environmental sustainability, and predictive analytics, making her a key figure in modern computational research. Dr. Chew has co-authored numerous high-impact journal publications and actively collaborates with international scholars, reflecting her commitment to advancing knowledge globally. With her leadership, research acumen, and dedication to academic excellence, she continues to drive innovation in data analytics and computational intelligence, contributing to both academia and industry applications.

Professional Profile

Education

Dr. Chew XinYing holds a Ph.D. in Computer Science from Universiti Sains Malaysia (USM), where she specialized in industrial computing and advanced statistical methodologies. Prior to her doctoral studies, she earned her Bachelor of Information Technology (Hons.) from Universiti Kebangsaan Malaysia (UKM), laying the foundation for her expertise in data analytics and computational intelligence. Throughout her academic journey, she has demonstrated a deep passion for integrating statistical process control techniques with modern computing approaches, making her a key researcher in quality control and decision-making systems. Her educational background has equipped her with advanced knowledge in artificial intelligence, predictive modeling, and big data analytics. This strong academic foundation has not only fueled her research contributions but also positioned her as a mentor and educator, guiding students in cutting-edge technological advancements. Dr. Chew’s commitment to continuous learning has made her a well-rounded scholar in the field of computational sciences.

Professional Experience

Dr. Chew XinYing is currently an Associate Professor at the School of Computer Sciences, Universiti Sains Malaysia (USM), where she also serves as the Program Manager for both Computer Science and Offshore Programs. Her professional career spans years of academic excellence, with a focus on curriculum development, student mentorship, and research leadership. She has played a pivotal role in shaping USM’s computer science programs, ensuring they align with industry standards and emerging technological trends. Beyond academia, she has engaged in industry collaborations, applying her expertise in industrial computing and analytics to solve real-world challenges. Her research extends into diverse fields such as artificial intelligence in business intelligence, statistical process control, and environmental sustainability. Dr. Chew’s extensive experience in both research and academic leadership has positioned her as a key contributor to Malaysia’s technological and educational advancements, fostering a new generation of computational scientists and researchers.

Research Interests

Dr. Chew XinYing’s research interests lie at the intersection of industrial computing, artificial intelligence, quality control, and advanced analytics. She has conducted extensive studies on statistical process control (SPC) and predictive modeling, focusing on their applications in business intelligence and decision-making. Additionally, her work explores artificial intelligence in tourism, environmental sustainability, and customer behavior analytics, reflecting her ability to integrate computing technologies into diverse domains. She is particularly interested in machine learning algorithms, big data analytics, and AI-driven decision support systems, which have wide-ranging applications in healthcare, financial analytics, and industrial optimization. Her interdisciplinary approach has led to impactful research in areas such as green technology, metaverse ethics, and orthopedic disease detection using AI. By bridging computational science with real-world applications, Dr. Chew continues to push the boundaries of data-driven innovation and contribute to advancements in both academic and industrial sectors.

Awards and Honors

Dr. Chew XinYing has been recognized for her outstanding contributions to research and academia through various awards and honors. Her scholarly achievements are reflected in her numerous high-impact journal publications, earning her recognition as a leading researcher in industrial computing and AI-driven analytics. She has received international accolades for her work in predictive modeling, AI in tourism, and quality control methodologies, demonstrating the real-world impact of her research. As a highly cited researcher, her studies have influenced multiple fields, positioning her among the top contributors in data-driven decision-making research. In addition to academic awards, she has been invited as a keynote speaker and panelist at international conferences, highlighting her expertise in machine learning and computational intelligence. Her dedication to academic excellence, combined with her leadership in research and education, continues to earn her prestigious honors, further establishing her as a respected figure in computer science and analytics.

Conclusion

Associate Professor Ts. Dr. Chew XinYing is a strong candidate for the Research for Young Scientist Award due to her high research productivity, interdisciplinary expertise, and leadership roles. To further solidify her eligibility, she could focus on independent research contributions, securing significant research grants, and emphasizing industry impact through patents and collaborations.

Publications Top Noted

1. Blockchain and Innovation Resistance

Title: Navigating the Power of Blockchain Strategy: Analysis of Technology-Organization-Environment (TOE) Framework and Innovation Resistance Theory Using PLS-SEM and ANN Insights
Authors: Alnoor, A.M., Abbas, S., Sadaa, A.M., Chew, X., Erkol Bayram, G.E.
Year: 2025
Journal: Technological Forecasting and Social Change
Citations: 0

2. Statistical Process Control and Quality Engineering

Title: Optimal Designs of the Group Runs Exponentially Weighted Moving Average X and t Schemes
Authors: Khaw, K.W., Chew, X., Teh, S.
Year: 2025
Journal: Quality and Reliability Engineering International
Citations: 0
Title: The One-Sided Variable Sampling Interval Exponentially Weighted Moving Average X? Charts Under the Gamma Distribution
Authors: Goh, K.L., Chew, X.
Year: 2024
Journal: Sains Malaysiana
Citations: 0

3. Organizational Communication and IT

Title: How Information Technology Influences Organizational Communication: The Mediating Role of Organizational Structure
Authors: Chew, X., Alharbi, R.K., Khaw, K.W., Alnoor, A.M.
Year: 2024
Journal: PSU Research Review
Citations: 2

4. Consumer Behavior and Decision-Making

Title: Unveiling the Optimal Configuration of Impulsive Buying Behavior Using Fuzzy Set Qualitative Comparative Analysis and Multi-Criteria Decision Approach
Authors: Alnoor, A.M., Abbas, S., Khaw, K.W., Raad Muhsen, Y.R., Chew, X.
Year: 2024
Journal: Journal of Retailing and Consumer Services
Citations: 6

5. E-Commerce and Customer Trust

Title: Symmetric and Asymmetric Modeling to Boost Customers’ Trustworthiness in Livestreaming Commerce
Authors: Chew, X., Alnoor, A.M., Khaw, K.W., Al Halbusi, H., Raad Muhsen, Y.R.
Year: 2024
Journal: Current Psychology
Citations: 2

6. Artificial Intelligence and Tourism

Title: The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Authors: Alnoor, A.M., Erkol Bayram, G.E., Chew, X., Shah, S.H.A.
Year: 2024
Publication Type: Book
Citations: 0