Changda Lei | Artificial intelligence | Best Academic Researcher Award

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Dr. Changda Lei | Artificial intelligence | Best Academic Researcher Award

Resident physician at First Affiliated Hospital of Soochow University, China

Professional Profile

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Summary

Dr. Changda Lei is a medical doctor and early-career researcher specializing in gastrointestinal tumors, digestive endoscopy, and artificial intelligence (AI) in clinical diagnostics. He is currently affiliated with the Department of Gastroenterology at the First Affiliated Hospital of Soochow University, China. His interdisciplinary expertise bridges medical imaging, clinical gastroenterology, and AI-driven diagnostic systems, with a particular focus on enhancing early cancer detection.

Educational Details

Dr. Lei earned his Doctor of Medicine degree with a residency in Gastroenterology from the First Affiliated Hospital of Soochow University, China. His doctoral thesis, titled “Artificial intelligence for early gastric cancer boundary recognition in NBI and NF-NBI endoscopic images,” was supervised by Prof. Rui Li and represents a significant contribution to AI applications in endoscopic image analysis for early cancer detection.

Professional Experience

During his residency and doctoral training at Soochow University, Dr. Lei gained clinical and research experience in gastroenterological procedures and endoscopic imaging. He has collaborated closely with multidisciplinary teams, including radiologists, computer scientists, and oncologists, to develop and validate AI-assisted diagnostic tools. His co-authored works involve both methodological development and clinical validation, marking him as a key contributor to translational medicine in the field of digestive oncology.

Research Interests

Dr. Lei’s research interests lie at the intersection of gastrointestinal tumor diagnostics, digestive endoscopy, and artificial intelligence. He focuses on improving early detection of gastric cancer, particularly through boundary recognition in NBI and NF-NBI endoscopic images. His broader research also explores multi-task learning, semantic segmentation, and clinical integration of AI tools for real-time diagnostic support in endoscopy suites.

Author Metrics

Although early in his academic career, Dr. Lei has co-authored multiple peer-reviewed articles in reputable international journals. His publications in Annals of Medicine, Scandinavian Journal of Gastroenterology, and Expert Systems with Applications demonstrate a growing influence in both clinical and AI research communities. His ORCID ID is 0000-0001-7908-7011, and his citation metrics are expected to rise with his growing publication footprint in multidisciplinary fields.

Awards and Honors

While formal awards are not explicitly listed, Dr. Lei’s contributions to high-impact publications and participation in cutting-edge research—such as the application of task-specific prompting in AI models for endoscopy—indicate peer recognition and significant academic promise. His collaborative work with senior scientists like Prof. Rui Li and publication in top-tier journals positions him as a rising expert in the medical AI and gastroenterology research community.

Publication Top Notes

1. Artificial Intelligence-Assisted Diagnosis of Early Gastric Cancer: Present Practice and Future Prospects

  • Authors: Changda Lei, Wenqiang Sun, Kun Wang, Ruirong Weng, Xiuji Kan, Rui Li

  • Journal: Annals of Medicine

  • Volume/Issue: Volume 57, Issue 1

  • Article ID: 2461679

  • Publication Date: 2025

  • DOI: 10.1080/07853890.2025.2461679

  • Summary:
    This article reviews current applications and future directions for artificial intelligence (AI) in the diagnosis of early gastric cancer (EGC). It highlights advances in endoscopic imaging, especially NBI (Narrow Band Imaging) and AI-based pattern recognition, and discusses clinical integration, challenges, and prospects for real-time implementation.

2. Neonatal Lupus Erythematosus: An Acquired Autoimmune Disease to Be Taken Seriously

  • Authors: Wenqiang Sun, Changchang Fu, Xinyun Jin, Changda Lei, Xueping Zhu

  • Journal: Annals of Medicine

  • Publication Date: December 31, 2025

  • DOI: 10.1080/07853890.2025.2476049

  • Summary:
    This clinical review focuses on neonatal lupus erythematosus (NLE), a rare but significant autoimmune condition affecting newborns. The article emphasizes early diagnosis, maternal screening, and therapeutic strategies, highlighting the need for interdisciplinary vigilance and patient-specific care.

Conclusion

Dr. Changda Lei is an exceptionally promising early-career academic who has already made meaningful contributions to the convergence of AI and gastrointestinal oncology. His research is not only innovative and clinically relevant but also indicative of leadership in next-generation diagnostic solutions.

Aneerban Roy | Management | Best Researcher Award

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Mr. Aneerban Roy | Management | Best Researcher Award

Doctoral Scholar at Indian Institute of Technology Kharagpur, India

Professional Profile

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Google Scholar

Summary

Mr. Aneerban Roy is a dynamic academician and doctoral researcher in Strategic Human Resource Management (SHRM) at the Indian Institute of Technology Kharagpur. With an interdisciplinary background in HR, marketing, and electrical engineering, his work focuses on E-HRM, leadership, emotional intelligence, and organizational sustainability. Known for his academic rigor, publication record, and conference presence, Mr. Roy brings a blend of research, teaching, and industry exposure that positions him as a rising contributor to the HRM and OB landscape.

Educational Details

Mr. Roy is currently pursuing his PhD in Strategic Human Resource Management at IIT Kharagpur (2020–2025), with a dissertation focusing on the dynamics of E-HRM and contextual variables. He completed his MBA in HR and Marketing from IIT (ISM) Dhanbad in 2019 with an impressive OGPA of 8.39. His technical foundation was laid with a B.Tech in Electrical Engineering from West Bengal University of Technology in 2016. He has a strong academic track record, having consistently performed well in his CBSE schooling and earned certifications in programming, automation, and emotional intelligence.

Professional Experience

Mr. Roy has gathered multi-faceted professional experience that bridges academics and industry. He served as a Teaching Assistant for the NPTEL course on Emotional Intelligence in both 2022 and 2024. His HR-focused internships at Tata Steel and Bharat Coking Coal Limited provided him early exposure to practical organizational dynamics. Additionally, he has worked on academic projects related to employee engagement, customer satisfaction, and health insurance awareness. His role as a reviewer for the Journal of Entrepreneurship Planning, Development and Management reflects his involvement in academic peer review and research evaluation.

Research Interest

His research interests span Strategic Human Resource Management, Organizational Behavior, International HRM, Emotional Intelligence, Leadership, and Sustainability. His PhD focuses on the evolving dynamics of E-HRM, with a particular interest in how contextual and psychological factors influence technology integration in HR practices. He is deeply interested in how emotional intelligence and self-leadership impact employee innovation, well-being, and sustainable organizational performance.

Author Metric

Mr. Roy’s scholarly contributions include journal articles and several book chapters published with reputable publishers such as Apple Academic Press, IGI Global, and Springer Nature. His work is indexed in Scopus, with his latest article in Cogent Business & Management (Q2) receiving attention for its bibliometric analysis of E-HRM research globally. He has presented at leading conferences like ISDSI Global Conference (IIM Nagpur) and Pan IIM World Management Conference (IIM Sambalpur), where he also served as a session chair. His growing portfolio of accepted and published research highlights a strong upward trajectory in academic impact.

Awards and Honors

Mr. Roy was honored with the Best Scientific Poster Presentation Award at the International Conference on Emerging Issues and Challenges in Global Mental Health and Public Health (2022). He is a qualified UGC-NET Assistant Professor (December 2020), further validating his academic credentials. He has also received distinction in the field of visual arts through the Bangiya Sangeet Parishad and holds an A+ grade in Diploma in Computer Application. These diverse accomplishments underline his holistic development as a scholar and educator.

Publication Top Notes

1. Evidence-Based Bibliometric Analysis of the Journey of E-HRM Research Across Nations

Summary: This study conducts a comprehensive bibliometric analysis of Electronic Human Resource Management (E-HRM) research across various nations. It identifies key trends, influential publications, and collaborative networks, providing insights into the global evolution of E-HRM scholarship.openaccessojs.com

2. Sustainability Through E-HRM: A Psychological Perspective

Summary: This chapter explores the intersection of E-HRM practices and sustainability from a psychological standpoint. It discusses how psychological theories and principles can enhance the effectiveness of E-HRM in promoting sustainable organizational practices.

3. Achieving Sustainable Performance by E-HRM Practices

Summary: This chapter presents a conceptual framework linking E-HRM practices to sustainable organizational performance. It employs social cognitive theory to discuss how E-HRM can be strategically utilized to achieve long-term sustainability goals.

Conclusion

Mr. Aneerban Roy is an exceptional early-career researcher with a clear research identity in E-HRM, emotional intelligence, and sustainable HRM. His active contributions through publications, conferences, and academic service, combined with his leadership in teaching and capacity-building initiatives, make him highly deserving of the Best Researcher Award in the Management domain.

Ahmad Hassanat | Machine Learning | Best Researcher Award

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Prof. Ahmad Hassanat | Machine Learning | Best Researcher Award

Professor at Mutah University, Jordan

Professional Profile

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Summary

Prof. Ahmad B. A. Hassanat is a Full Professor of Computer Science at Mutah University, Jordan, and a senior IEEE member. He is globally recognized for his extensive contributions to artificial intelligence, machine learning, biometrics, and image processing. With over two decades of academic and research experience, he has authored numerous impactful papers and books and is widely known for pioneering innovative techniques like the "Hassanat Distance" metric and deep learning-based biometric systems. He is also active in international collaborations, editorial work, and AI-driven healthcare research.

Educational Details

Prof. Hassanat earned his Ph.D. in Computer Science from the University of Buckingham, UK,, with a focus on automatic lip-reading. He holds an M.Sc. in Computer Science from Al al-Bayt University, Jordan, where he specialized in fast string matching algorithms. He completed his B.Sc. in Computer Science at Mutah University, Jordan. His academic foundation reflects a strong blend of theoretical depth and applied research skills in computing and AI.

Professional Experience

Prof. Hassanat has served in multiple academic roles across Jordan and Saudi Arabia, including as a Full Professor at Mutah University and the University of Tabuk. He was Head of the IT Department at Mutah University and a visiting researcher at the Sarajevo School of Science and Technology. Earlier in his career, he worked for the Jordanian Armed Forces as a programmer and systems analyst, where he developed over a dozen mission-critical ICT systems. He is also a founder or co-founder of academic programs, conferences, and novel biometric solutions.

Research Interests

His research spans machine learning, artificial intelligence, image processing, biometrics, pattern recognition, and evolutionary algorithms. He is known for practical innovations such as deep learning for veiled-face recognition, genetic algorithm optimization, voice-based Parkinson’s detection, and machine learning models for epidemiology, security, and finance. He also created the widely referenced Hassanat Distance, improving classifier performance in imbalanced data scenarios.

Author Metrics

Prof. Hassanat has published over 100 journal articles and conference papers, with an H-index of 33, i10-index of 56, and more than 4,000 citations. His work is featured in top journals such as IEEE Access, PLOS ONE, Sustainability, Applied Sciences, and Computers. His algorithmic contributions and models are highly cited in the fields of AI, healthcare informatics, and big data analytics.

Awards and Honors

Prof. Hassanat has been named among the world’s top 2% scientists by Stanford–Elsevier in 2021, 2022, and 2023. He has received the Best Scientist award at Mutah University for 2023 and 2024, and multiple competitive research grants from Jordan and Saudi Arabia. He was the recipient of Mutah University’s Distinguished Researcher Award (2018, 2019), and granted IEEE Senior Membership for his research excellence. His innovations, including terrorist identification from hand gestures and COVID-19 forecasting tools, have received global media attention.

Publication Top Notes

1. Deep learning computer vision system for estimating sheep age using teeth images

  • Authors: AB Hassanat, MA Al-Sarayreh, AS Tarawneh, MA Abbadi, et al.

  • Journal: Connection Science

  • Volume/Issue: 37 (1)

  • Article ID: 2506456

  • Year: 2025

  • Summary:
    This study presents a deep learning-based computer vision system designed to estimate the age of sheep by analyzing images of their teeth. The model likely leverages convolutional neural networks (CNNs) or similar architectures to accurately assess age-related dental features, offering a non-invasive and automated method for livestock age estimation that can assist farmers and veterinarians.

  • Citations: Not provided

  • Access: Details not provided

2. ICT: Iterative Clustering with Training: Preliminary Results

  • Authors: AB Hassanat, AS Tarawneh, AS Alhasanat, M Alghamdi, K Almohammadi, et al.

  • Conference: 2025 International Conference on New Trends in Computing Sciences (ICTCS)

  • Year: 2025

  • Summary:
    This paper introduces a novel method named Iterative Clustering with Training (ICT), presumably a machine learning or data clustering approach. Preliminary results demonstrate its effectiveness in improving clustering accuracy or training efficiency for datasets common in computing science. The approach likely combines clustering with supervised training iterations for better performance.

3. Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing

  • Authors: E Al-Khlifeh, AS Tarawneh, K Almohammadi, M Alrashidi, R Hassanat, et al.

  • Journal: Parasites & Vectors

  • Volume/Issue: 18 (1)

  • Article Number: 33

  • Year: 2025

  • Summary:
    This research applies decision tree-based machine learning techniques to mine laboratory data for efficient and accurate diagnosis of amebiasis. The study demonstrates how data mining on clinical data combined with decision trees can improve testing accuracy and streamline diagnostic procedures in parasitology.

4. Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach

  • Authors: AS Tarawneh, AK Al Omari, EM Al-Khlifeh, FS Tarawneh, M Alghamdi, et al.

  • Book/Series: Advances and Applications in Bioinformatics and Chemistry

  • Pages: 159-178

  • Year: 2024

  • Summary:
    This paper proposes a non-invasive method for cancer detection by combining blood test results with predictive modeling approaches, likely using machine learning algorithms. The approach aims to provide an early, cost-effective screening tool for cancer by analyzing biomarkers and patterns in blood test data.

5. Extended spectrum beta-lactamase bacteria and multidrug resistance in Jordan are predicted using a new machine-learning system

  • Authors: EM Al-Khlifeh, IS Alkhazi, MA Alrowaily, M Alghamdi, M Alrashidi, et al.

  • Journal: Infection and Drug Resistance

  • Pages: 3225-3240

  • Year: 2024

  • Summary:
    This study develops and applies a machine learning system to predict the occurrence of extended spectrum beta-lactamase (ESBL) producing bacteria and multidrug resistance patterns in Jordan. The predictive model aids in understanding and managing antibiotic resistance, supporting healthcare decision-making and antimicrobial stewardship.

Conclusion

Prof. Ahmad Hassanat embodies the qualities of a world-class researcher—his work is innovative, deeply applied, and globally relevant. From introducing original metrics and models in AI to developing life-saving diagnostic systems and biometric security applications, his impact is both academic and practical.

His dedication to research excellence, mentorship, and cross-disciplinary innovation makes him highly deserving of the Best Researcher Award in Machine Learning.

Rachid Masrour – Materials for energy – Best Researcher Award

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Rachid Masrour – Materials for energy – Best Researcher Award

Prof Dr. Rachid Masrour distinguished academic and researcher in the field Materials for energy, He appears to be highly suitable for the Best Researcher Award.

🌐 Professional Profile

Educations📚📚📚

  • Doctorate in Materials Physics: The person has a strong foundation in physics, particularly in materials physics, which is a significant and impactful research area.
  • Full Professorship and Habilitation: Achieving a full professorship and university habilitation demonstrates a high level of expertise, recognition, and authority in their field of research.

Professional Experience:

  • Research Professor: Over a decade of experience as a research professor at respected institutions shows dedication to both research and teaching. The transition from the National School of Applied Sciences to a prominent role at Sidi Mohamed Ben Abdellah University further highlights their growing influence in the academic world.

Research and Academic Contributions:

  • Responsibilities: The individual’s involvement in various academic and administrative roles, such as heading departments, coordinating programs, and participating in multiple committees, indicates a leadership role in shaping educational and research initiatives. These roles often require one to be a thought leader and innovator in their field.
  • Module Responsibilities: The responsibility for modules on advanced topics like Interaction Radiation Matter, Molecular Spectroscopy, Physics of Phase Transitions, and Optical Transmission Technology suggests deep expertise in cutting-edge areas of physics and engineering, which are critical for research and innovation.

Suitability for Best Researcher Award:

  • Breadth and Depth of Research: The candidate’s extensive experience in both teaching and research, combined with their leadership roles, suggests they are a well-rounded academic with a strong impact on both their field and the institutions they have served.
  • Leadership in Research: The leadership positions, particularly in research committees and academic councils, indicate the individual’s influence extends beyond personal research to shaping the research agenda and standards at their institutions.
📝🔬Publications📝🔬

1. Oudahman, M. , Houmad, M. , Masrour, R. , Rezzouk, A. Materials
Science in Semiconductor Processing , 182, 108647 (2024).
2. Raïâ, M.Y. , R. Masrour, Hamedoun, M. , Kharabach J, Rezzouk A,
Benzakour, N. , Bouslykhane, K. Materials Science in Semiconductor
Processing , 181, (2024) 108649.
3. A. Erraji, R. Masrour, L. Xu. Ionics 2024.DOI10.1007/s11581-024-05632-
z.
4. Heryanto, H. , Tahir, D. , Abdullah, B, Sayyed M.I.; Yunas, Jumril;
Masrour, Rachid; Veeravelan K. Arabian Journal for Science and
Engineering. DOI10.1007/s13369-024-09210-3 (2024).
5. Mennaoui, O. , R. Masrour, Xu, L. , Hlil, E.K. Ionics , 30(5), pp. 2537–
2547 (2024).
6. Jerrari, M. , R. Masrour, , Sahdane, T. Materials Today Communications ,
39, 108713 (2024).
7. Kadim, G. , R. Masrour, Physica Scripta , 99(6), 065988 (2024).
8. Rauf, Ichsan; Heryanto, Heryanto; Tahir, Dahlang; Gaus, Abd; Rinovian,
Asnan; Veeravelan K.; Akouibaa, Ahmed; Rachid Masrour; Akouibaa,
4
Abdelilah. Physica Scripta Open Access Volume 99, Issue 61 (2024) Article
number 065998.
9. Khalis, M, R. Masrour. Indian Journal of Physics , 98(8), pp. 2719–2729
2024.
10. Ramdane, O. , Labidi, M. , Labidi, S. , R. Masrour, Journal of the
Korean Ceramic Society (2024).DOI10.1007/s43207-024-00397-7.
11. Kadim, G. , R. Masrour, Journal of the Korean Ceramic Society
(2024).DOI10.1007/s43207-024-00394-w.
12. Sahdane, T. , R. Masrour, Journal of Cluster Science
(2024).DOI10.1007/s10876-024-02636-7.
13. Ezaier, A. , R. Masrour, Hamedoun, A., M. , Kharbach, J.,
Rezzouk, A., Benzakour, N. , Bouslykhane, K. Journal of Rare Earths
(2024).DOI10.1016/j.jre.2023.05.014.
14. R. Masrour, , Kadim, G. , Ellouze, M. Journal of the Korean
Ceramic Society , 61(3), pp. 411–418 (2024).
15. Akouibaa, A. , R. Masrour, , Mordane, S. , Benhamou, M., El
Assyry, A. , Derouiche, A.. Journal of Drug Delivery Science and Technology
, 95, 105559 (2024).
16. Sahdane, T. , R. Masrour, Polyhedron , 254, 116948 (2024).
17. Jerrari, M. , R. Masrour, , Sahdane, T. Materials Today
Communications , 39, 108713 (2024).
18. Elhnaki, I. , Masrour, R. , Sahdane, T. Computational Materials
Science , 242, 113113 (2024).
19. El Krimi, Y. , R. Masrour, Modern Physics Letters B , 38(17),
24500801 (2024).
20. El Krimi, Y. , R. Masrour, Modern Physics Letters B , 38(17),
24500811 (2024).
21. Meghchouche, H. , Labidi, M. , Amara, A. , Labidi, S. , R. Masrour,
Physica B: Condensed Matter , 686, 416080 (2024).
22. Jerrari, M. , R. Masrour, , Sahdane, T. Materials Science in
Semiconductor Processing , 179, 108506 (2024).

Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

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Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

Dr. Kunpeng zhang distinguished academic and researcher in the field Evolutionary computing. Dr. Kunpeng Zhang is a highly accomplished researcher with significant contributions to the field of multimedia
tools, applications, and intelligent vehicle technologies. He has co-authored numerous influential papers,
particularly in areas like defect detection on vehicle paint, multi-object tracking, and feature selection optimization.
Dr. Zhang’s work often involves advanced algorithms such as MobileNet-SSD, APF-ACO, and IBGJO,
showcasing his expertise in improving computational efficiency and accuracy in real-world applications. His
research is well-cited, reflecting the impact of his contributions to the academic community.

🌐 Professional Profile

Educations📚📚📚

He has a comprehensive educational background, currently pursuing a Ph.D. in Computer Application Technology at the School of Computer Science and Technology, Jilin University, Changchun, since September 2018. Prior to this, he completed a Master’s in Electrical Engineering from the School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, between September 2015 and June 2018. He holds a Bachelor’s degree in Network Engineering from the same institution, earned between September 2011 and June 2015. Additionally, he completed a Bachelor’s in Engineering Management with a focus on International Engineering Management from the School of Economics and Management, Jilin Jianzhu University, Changchun, during the same period.

Research Experience:

  • Significant contributions to the field of multimedia tools, applications, and intelligent vehicle technologies.
  • Co-authored numerous influential papers, particularly in areas like defect detection on vehicle paint, multi-object tracking, and feature selection optimization.

Research Output and Impact:

  • Published 13 journals in SCI and SCIE index and 7 in other indexed journals.
  • Citation index of 107 and an H-index of 13, indicating a substantial impact in the research community.
  • Cumulative impact factor of 43.4 over the last three years.

Innovations:

  • Development of advanced algorithms such as MobileNet-SSD, APF-ACO, and IBGJO.
  • Focus on improving computational efficiency and accuracy in real-world applications.

Projects and Collaborations:

  • Completed and ongoing involvement in 13 research projects.
  • Engaged in 7 consultancy and industry-sponsored projects.
  • Involvement in 3 collaborative research activities.

Recognition and Professional Engagement:

  • Editorial appointments in 2 journals/conferences.
  • Actively collaborates across disciplines, bridging the gap between theoretical advancements and industry needs.
  • Given Dr. Zhang’s significant research contributions, impactful publications, innovative work in algorithm development, and active engagement in the academic and industrial community, she is well-positioned as a strong candidate for the Best Researcher Award

📝🔬Publications📝🔬

Mohammed Rohi Khalil- Obstetrics – Best Researcher Award

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Mohammed Rohi Khalil- Obstetrics – Best Researcher Award

Assoc Prof Dr. Mohammed Rohi Khalil distinguished academic and researcher in the field Obstetrics.   Mohammed R. Khalil appears to be a strong candidate for the Research for Best Researcher Award. Here are some key points that support his suitability:

🌐 Professional Profile

Educations📚📚📚

He earned his Kandidat i Medicin from Syddansk Universitet in 1996, followed by becoming a Speciallæge i Gynækologi og Obstetrik at Københavns Universitet in 2005. He later pursued a Ph.D. degree, which he completed in 2018, integrating clinical work periods throughout his doctoral studies.

Teaching and Supervision:

  • Supervises BSc and MSc projects, and co-supervises a Ph.D. project
  • Responsible for Obstetrics in the Medicine program at Esbjerg, SDU

Publications:

  • 50 publications in international scientific journals
  • 20 publications in peer-reviewed conference proceedings

Ongoing Research:

  • Focuses on important medical topics such as sepsis and meningitis in children, maternal and perinatal outcomes, labor induction in twin pregnancies, and maternal obesity as a risk factor for Group B Streptococcus colonization.

Principal Investigator in Notable Projects:

  • NORACT project: A randomized trial on laparoscopic versus vaginal cerclage (2023)
  • Orchid 1: A trial on the efficacy and safety of MC2-25 cream for vulvar lichen sclerosis (2023)
  • Minervax GBS vaccine project: A Phase II randomized controlled trial (2022-2023)
  • CONDISOX project: A trial on oxytocin stimulation in labor (2021)
  • Elective caesarean section trial: Comparing outcomes at 38 weeks versus 39 weeks (2013)

Organizational and Administrative Roles:

  • Clinical lecturer at Sygehus Lillebælt/Syddansk Universitet since 2009
  • Examiner in Denmark since 2010
  • Coordinating Clinical Lecturer at SDU in SLB-Kolding since 2012-2013
  • Clinical lecturer with research responsibilities since 2019

Conferences:

  • Attended and presented at numerous prestigious international congresses and conferences on fetal medicine, gynecology, obstetrics, perinatal medicine, and medical education.

Overall Assessment:

Dr. Khalil has an impressive educational background, extensive publication record, significant ongoing research projects, and considerable experience in teaching, supervision, and organizational roles. His involvement as a principal investigator in multiple high-profile research projects and his participation in international conferences underscore his active engagement and contributions to his field. These accomplishments and his ongoing work suggest a strong case for him being a suitable candidate for the Best Researcher Award.

📝🔬Publications📝🔬

Ayman A. Al Hayek – Diabetes Care – Best Researcher Award

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Ayman A. Al Hayek – Diabetes Care – Best Researcher Award

Mr. Ayman A. AI Hayek distinguished academic and researcher in the field Diabetes Care.

🌐 Professional Profile

Educations📚📚📚

  • Ayman holds a range of relevant qualifications, including a Master’s Degree in Diabetes Education, a Post Graduate Higher Diploma in Clinical Diabetes Education, and a Bachelor degree in Nursing, all with First Honor Degrees.
  • He is also a Certified Diabetes Care and Education Specialist (CDE) and an Insulin Pump/CGM Trainer, which underscores his specialized training and expertise in advanced diabetes management technologies.

Professional Contributions and Recognition:

  • Clinical Initiatives: Ayman has initiated quality improvement projects, conducted outcome studies, and developed insulin management strategies. His programs have achieved recognition from the American Diabetes Association-Gulf Chapter and the Saudi Commission for Health Specialties.
  • Training and Mentorship: He has played a significant role in training nurses to become certified diabetes educators, demonstrating his commitment to advancing the field through education and mentorship.

Research and Publications:

  • Ayman has contributed to the academic community with multiple publications in reputed journals. His research topics include glycemic control, the implementation of A1C testing, and the use of Flash Glucose Monitoring, among others. These publications reflect his active engagement in advancing diabetes research.
  • His Google Scholar, NCBI, and ResearchGate profiles indicate a substantial number of citations, reflecting the impact and recognition of his work in the scientific community.

Presentations and Conferences:

  • He has been an invited speaker at numerous international conferences, including the Advanced Technologies & Treatments for Diabetes (ATTD) conferences from 2016-2023 and various other diabetes and endocrinology forums. His participation as a speaker highlights his recognition as an expert in his field.

Awards and Achievements:

  • Ayman has received multiple awards and certificates of appreciation for his contributions to diabetes care and education, including the Best Achievement of the administration of medical services at the armed forces and various appreciation certificates from Prince Sultan Military Medical City.

Professional Associations and Memberships:

  • He is an active member of several professional associations, including the Association of Diabetes Care and Education Specialists (ADCES) and the Saudi Commission for Health Specialties. His involvement in these associations further validates his commitment and contributions to the field.

Conclusion:

Ayman A. Al Hayek’s extensive experience, specialized training, active engagement in research, and significant contributions to diabetes care and education make him a highly suitable candidate for the Best Researcher Award. His work has had a notable impact on both clinical practices and academic research, positioning him as a leading figure in the field of diabetes care.

 

📝🔬Publications📝🔬

Md. Alamin- Environmental microbiology -Best Researcher Award

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Md. Alamin-Environmental microbiology-Best Researcher Award

Md. Alamin appears to be a strong candidate for the Research for Best Researcher Award, considering his extensive background and contributions in environmental design and public health. Here are several reasons supporting his suitability:

🌐 Professional Profile

  1. Leadership and Impactful Research:
    • Alamin has played a leadership role in a significant public health project, the Metro Detroit region SARS-CoV-2 wastewater monitoring project, which is crucial for informing public health actions.
    • His work in detecting human sources of fecal contamination in watersheds and at beaches addresses critical environmental and public health concerns.
  2. Educational Background and Professional Experience:
    • He holds a PhD in Environmental Design from Kanazawa University, demonstrating advanced expertise in his field.
    • His postdoctoral fellowship at Wayne State University and prior roles at Kanazawa University and Khulna University of Engineering and Technology highlight his extensive research experience and contributions.
  3. Publication Record:
    • Alamin has a strong publication record, with multiple first-authored papers in high-impact journals such as Science of the Total Environment and Npj Clean Water.
    • His research covers a range of topics, including SARS-CoV-2 detection in wastewater, virus removal mechanisms in wastewater treatment, and composting processes, indicating a broad and impactful research portfolio.
  4. Awards and Fellowships:
    • He has received several prestigious awards, including the University President Award (Best Research PhD) from Kanazawa University and the Japanese Government (MEXT) Scholarship.
    • These accolades reflect his excellence and recognition in the research community.
  5. Conference Presentations:
    • Alamin has presented his research at numerous international and national conferences, demonstrating his active engagement with the global research community and his ability to communicate his findings effectively.
  6. Technical and Collaborative Skills:
    • His involvement in developing a ddLAMP platform for sensitive detection of vector-borne disease organisms shows his capability in cutting-edge technology and collaboration with multicultural research teams.
    • His role in providing training to PhD, Master, and undergraduate students indicates his commitment to mentorship and knowledge dissemination.

Overall, Md. Alamin’s combination of leadership in impactful research projects, a strong educational background, a solid publication record, prestigious awards, active conference participation, and technical and collaborative skills makes him a highly suitable candidate for the Research for Best Researcher Award.

Publication

MACAEV Fliur Zainutdin – Obtaining new compounds with biological Activity – Best Researcher Award

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MACAEV Fliur Zainutdin – Obtaining new compounds with biological Activity – Best Researcher Award

Prof Dr. Macaev Fliur Zainutdin  distinguished academic and researcher in the field  Obtaining new compounds with Biological Activity. Born in 1959, Fliur Zainutdin Macaev is a doctor habilitate in organic chemistry, having achieved this title in 2002. He studied chemistry and biology at the Bashkirian State Pedagogical University and earned his PhD from the Institute of Organic Chemistry in Ufa, Bashkortostan, Russia, at the Ural Polytechnic Institute in Sverdlovsk, Russia, under the supervision of Academician Professor Ghenrikh Tolstikov in 1990. Following his doctoral studies, he pursued postdoctoral training in vitamin D3 analogues synthesis at the Institute of Organic Chemistry of the Polish Academy of Sciences (1995-1996) with Professor Jerzy Wicha and in insect-antifeedant synthesis at Wageningen Agricultural University (1998-1999) with Professor Aede de Groot. Since 1999, he has been a prominent member of the Institute of Chemistry of the Academy of Sciences of Moldova, where he serves as the head of the Laboratory of Organic Synthesis.

🌐 Professional Profile

Educations📚📚📚

Fliur Zainutdin Macaev’s educational and career achievements are notable. He was appointed as a Corresponding Member of the Academy of Sciences of Moldova in 2023. He has served as a Professor in Bioorganic Chemistry at the Institute of Chemistry in Chisinau, Moldova, since 2014, and previously held the position of Professor in Organic Chemistry there starting in 2012. He earned his Dr. habilitat in Organic Chemistry from the Institute of Chemistry in Chisinau in 2002 and was promoted to Associate Professor in Organic Chemistry in 1993.Employment  

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Fliur Zainutdin Macaev is a distinguished member of the Moldovan Chemical Society and the Royal Society of Chemistry. His career in research has spanned several decades and institutions. Since 2023, he has been the head of the laboratory at the Institute of Chemistry of Moldova State University. Prior to this, he served as head of the laboratory at the Institute of Chemistry from 2020 to 2022 and at the Institute of Chemistry of the Academy of Sciences of Moldova from 1999 to 2019. His career at the Institute of Chemistry of the Academy of Sciences of Moldova began in 1991, where he held positions ranging from Junior Researcher to Senior Scientific Researcher before becoming a leading scientific researcher in 1995. His specialization includes organic and medicinal chemistry, environmental sciences, nano-chemistry, new catalysts (both metal-mediated and metal-free), asymmetric synthesis, ionic liquids (including magnetic ones), computer-aided molecular design, raw and waste materials chemistry, recycling materials, nano-materials, and bio-films.

current research interest

Specializing in various aspects of organic and medicinal chemistry, he is currently engaged in projects aimed at discovering new catalytic systems, both metal-based and metal-free, for the asymmetric formation of C-C, C-N, and C-P bonds. His work also includes the mechanistic investigation of reactions that proceed with high levels of regio- and stereoselectivity. He is exploring ionic liquids as green alternatives to conventional solvents and is involved in the total synthesis of biologically active compounds and their analogues, employing computer-aided molecular design and structure-activity analysis.

experience

Prof. Macaev has successfully participated in 18 international projects (INTAS projects Ref. № 2000-0711 and Ref. № 2006-8064, MD-US projects CRDF/MC2-3007 and CRDF/MERL-7031, MD-Russia project – Ref. № 06.21CRF, MD-Belarus project Ref. № 05.15BF, MD-Ukraine project Ref. № 10.820.09.01/UA, MD-Germany project Ref. № 09.820.05.08 GF, The Royal Society International Joint Project Ref. № JP090309), STCU Ref. № 5800 as well as member of a group (SCOPES, Ref. Nr.110823), and 8 national projects as coordinator (2000-2005. Ref. № 0101 MD 01915; 2006-2010. Ref. № 06.408.030F.;2011-2012. Ref. № 11.824.08.136T; 2014-2015. Ref. № 14.518.04.08A.; 2011-2014. Ref. № 11.817.08.20F.; 2011-2014. Ref. № 11.817.08.20F.; 2015-2018. Ref. № 15.817.02.17A.; 2015-2018. Ref. № 15.817.02.17A.; 2020-2023. Ref. №20.80009.5007.17).

🏆🏆Awards🏆🏆

Prof. Macaev has received numerous prestigious awards throughout his career. In 1990, he was honored with the prize for young scientific in science and engineering of the USSR, awarded in Kiev, Ukraine. In 2014, he received a Diploma from the Government of the Republic of Moldova for his outstanding results in research. He has been recognized multiple times by the Academy of Sciences of Moldova, receiving awards for scientific achievements in 2019, 2014, 2011, and 2003, as well as a Diploma for high-performance results in 2016 and the Diploma “Academic Merit” in 2014. His accolades also include several gold and silver medals from various international exhibitions. Notably, he won the Gold Medal at the International Exhibition of Scientific Research, Innovation, and Invention Pro Invent 2022 in Cluj-Napoca, Romania, and at the Inventica International Exhibition 2022. He earned Gold and Silver Medals at the International Exhibition “Expo-EUROINVENT” in Iasi, Romania, in 2022, 2021, and 2020, and Gold Medals at the “INFOINVENT” International Exhibition in Chisinau, Moldova, in 2019 and 2018. He has also been awarded Gold Medals at the International Exhibition “Expo-EUROINVENT” in Iasi, Romania, in 2017 and 2016, and at the International Exhibition “TESLA FEST” in Novi Sad, Serbia, in 2017. Additionally, he received Gold Medals at the International Expo-EUROINVENT in 2012 and 2011, and at the International Expo – Brussels EUREKA INNOVA 2010. He was awarded Bronze Medals at the International Exposition INFOINVENT in Chisinau, Moldova, in 2007 and 2004.

 

📝🔬Publications📝🔬

  1. POGREBNOI, S., RADUL, O., STINGACI, E., LUPASCU, L., VALICA, V., UNCU, L.,SMETANSCAIA, A., PETROU, A., CIRIC, A., GLAMOCLIJA, J., SOKOVIC, M., GERONIKAKI, A. MACAEV, F. Triazolium salts as antifungal agents. Synthesis, biological and in silico evaluation. Anthibiotics 2022,11(5), 588. ISSN 2079-6382. https://doi.org/10.3390/antibiotics11050588
  2. ZVEAGHINTSEVA,, STINGACI, E., POGREBNOI, S., SMETANSCAIA, A., VALICA, V., UNCU, L., KRAVTSOV, V., MELNIC, E., PETROU, A., GLAMOČLIJA, J., SOKOVIĆ, M., CARAZO, A., MLADĚNKA, P., POROIKOV, V., GERONIKAKI, A., MACAEV, F.Z. Chromenols derivatives as novel antifungal agents. Synthesis, In Silico and In Vitro Evaluation biological evaluation and molecular docking. În: Molecules, 2021, 26(14), 4304. (IF: 4.411). ISSN 1420-3049 (Online) DOI: 10.3390/molecules26144304
  3. BILAN, D.Y., SUCMAN, N.S., RADUL, O.M., DRAGALIN, I.P., BARBA, A.N., MACAEV, F. Synthesis of (–)-convolutamydine a derivatives and analogs,  Natur. Comps.  2021, vol. 57, pp. 516-520. DOI: https://doi.org/10.1007/s10600-021-03400-3
  4. CURLAT, S.N., MACAEV, F. Synthesis of 1,2,3-Triazole-Substituted 3,7,7-Trimethylbicyclo[4.1.0]Heptanols Based on (+)-3-Carene. Natur. Comps. 2021, vol. 57, pp. 733-740. https://doi.org/10.1007/s10600-021-03461-4
  5. STINGACI, E.; ZVEAGHINTEVA, M.; POGREBNOI, S.; LUPASCU, L.; VALICA, V.; UNCU, L.; SMETANSCAIA, A.; DRUMEA, M.; PETROU, A.; CIRIC, A.; GLAMOCLIJA, J.; SOKOVIC, M.; KRAVTSOV, V.; GERONIKAKI, A.; MACAEV, F. New vinyl-1,2,4-triazole derivatives as antimicrobial agents: Synthesis, biological evaluation and molecular docking studies. Bioorganic & Medicinal Chemistry Letters. 2020, 30 (17), 127368. https://doi.org/10.1016/j.bmcl.2020.127368

Patents/Brevets

  1. Eremia, N., Macaev, F., Krasociko, P., Pogrebnoi, S., Znagovan, A., Neicovcena, I., Coşeleva, O., Eremia, I., Sarî, A. Procedeu de hrănire a albinelor.Brevet de invenție de scurtă durată. Chișinău, MD 1611 Y 2022.04.30. BIOPI nr. 4/2022.
  2. Eremia N., Macaev, F., Pogrebnoi, S., Znagovan, A., Modvala, S., Mardari T., Eremia, I., Sarî, A. Procedeu de hrănire a albinelor. Brevet de invenție de scurtă durată. Chișinău, MD 1598 Z 2022.09.30. BIOPI nr. 4/2022.
  3. Eremia, N., Macaev, F., Krasociko, P., Pogrebnoi, S., Znagovan, A., Neicovcena, I., Coşeleva, O., Eremia, I., Sarî, A. Procedeu de hrănire a albinelor. Brevet de invenție de scurtă durată. Chișinău, MD 1611 Y 2022.04.30. BIOPI nr. 4/2022.
  4. Lupașcu, G., Macaev, F., Gavzer, S., Cristea, N., Lupașcu, L., Stângaci,  E.,  Pogrebnoi, V., Pogrebnoi, S. Procedeu de tratare a boabelor de grâu comun de toamnă. Brevet de invenţie de scurtă durată MD №1604 B1 acordatdin 03.31. BOPI nr.3/2022
  5. Lupașcu, G., Macaev, F., Gavzer, S., Cristea, N., Lupașcu, L., Stângaci,  E.,  Zveaghințeva,  Pogrebnoi S. Procedeu de tratare a boabelor de grâu comun de toamnă. Brevet de invenţie de scurtă durată MD № 1603 B1 acordat din 2022.03.31. BOPI nr. 3/2022
  6. Lupașcu, G., Macaev, F., Gavzer, S., Cristea, N., Lupașcu, L., Stângaci,  E., Zveaghințeva,, Pogrebnoi, S. Procedeu de tratare a boabelor de grâu comun de toamnă. Brevet de invenţie de scurtă durată MD №1591 B1 acordat din 2022.01.31. BOPI nr. 1/2022
  7. Macaev, F.; Stângaci, E.; Pogrebnoi, S.; Boldescu, V. Metodă pentru sinteza 3,3-dialilindolin-2-onei. Institutul de Chimie. Brevet de invenție MD №4739B1, acordat din 01.31.
  8. Macaev,; Stângaci, E.;  Pogrebnoi, S.; Boldescu V. (Z) -5-metil-1- (4-nitrofenil) -2- (1H-1,2,4-triazol-1-il) hex-1-en-3-onă, procedeuşi sinteză ei în calitate de remediu antifungic . Institutul de Chimie. Brevet de invenție MD № 4703C1., eliberat din 2020.07.31.
  9. Macaev, F.; Bilan, D.; Radul, O.; Boldescu, V. Procedeu de sinteza diastereo- și enantioselectivă a (S)-3-hidroxi-3-((R)-2-oxociclohexil) indolin-2-onei. Institutul de Chimie. Brevet de invenție MD № 4689C1., acordat din02.28. BOPI nr.2/2021
  10. Macaev, F.; Zveaghințeva, M.; Stângaci, E.; Pogrebnoi, S.; Lupaşcu, L. Utilizare a (Z)-4,4-dimetil-1-(4-nitrofenil)-2-(1H-1,2,4-triazol-1-il)pent-1-en-3-onei în calitate de ingredient activ contra bacteriilor fitopatogene. Institutul de Chimie. Brevet de invenție MD № 4740B1 acordat din02.28. BOPI nr.2/2021

Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

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Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

🌐 Professional Profile

Educations📚📚📚

She earned her Doctor of Philosophy in Computer Science from the University of Illinois at Chicago in Fall 2019, with her dissertation titled “Deadlock Detector and Solver (DDS).” She completed her Master of Science in Computer Science at Bowling Green State University in Fall 2011, with her thesis titled “A Cloud Computing Framework for Computer Science Education.” Her academic journey began with a Bachelor of Science in Computer Science from Imam Abdulrahman bin Faisal University (formerly Dammam University) in Fall 2006, where she graduated with honors.

In her academic career, she began as an Instructor at New Horizons Institute in Khobar, KSA, during Summer 2007, where she trained students at various levels on ICDL and IC3 certificates and taught courses in Computer Mathematics, Secretary duties, office management, and office technology. She then taught basic computer skills and Microsoft Office applications at Dammam University (now Imam Abdulrahman bin Faisal University) in Fall 2007. Prior to this, she worked as a Teacher at Riyadh Al-Islam Schools in Spring 2007, where she taught basic computer skills to girls, ranging from elementary to high school students.

Since Fall 2012, she has been serving as a faculty member at Princess Nourah Bint Abdulrahman University in Riyadh, KSA

Work experience

As a Lecturer and Assistant Professor, she teaches a range of courses including Foundations of Programming (GN 044), Discrete Structures (CS100), Programming Language I (CS110), Programming Language II (CS111), Computer Organization (CS206), Natural Language Processing (CAI 350), Graduation Project I (CS487), and Graduation Project II (CS488). She is involved in designing and recording a programming basics course and a data structures course as electronic courses for the programming diploma program. She participates in faculty committees and collaborative initiatives to improve the curriculum and attends seminars to stay updated on the latest trends in technology and teaching methods. She also serves as a scientific contact at the University of Southern California in the field of video game design and is the Computer Sciences’ program leader.

In her non-academic experience, she served as Vice President, Director of Public Relations, and Director of the Cultural and Information Committee at King Abdulaziz and his Companions Foundation for the Gifted from Summers 2002 to 2007. During her tenure, she built a summer science program for talented students, encouraged their inventiveness, and gained significant managerial skills through her six years of work with the President of the program.

Certifications or Professional Registrations:

She holds several notable certifications and professional registrations, including membership in the Golden Key International Honor Society and the Phi Kappa Phi Honor Society. She also possesses the Huawei HCIA-AI Certificate. Her current professional memberships include the Computing Research Association, the Association for Computing Machinery (ACM), and the IEEE Computer Society.

 

Honors and Awards:

She has received several honors and awards, including participation in the CRA-Women Grad Cohort Workshop, and has been recognized with the ACM’s SRC Travel Award and the HPDC Travel Award. Her service activities encompass planning programs and activities for talented students, building and designing electronic courses, and supervising the student magazine for the College of Computer and Information. She is also involved in various committees, including judging and supervising hackathons.

In terms of granted projects, she is currently working on the Researchers Supporting Project at Princess Nourah bint Abdulrahman University (Project number: PNURSP2023R409) for the year 2023. She is also leading two projects funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia: “Detection and Identification of Plant Leaf Diseases using YOLOv4” (Project number RI-44-0618) from November 2022 to May 2024, and “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women” (Project number WE-44-0279) from November 2022 to May 2024.

📝🔬Publications📝🔬