Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

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Dr. Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

 University of Greenwich | United Kingdom

Mohammad Al AHMAD is a dedicated part-qualified ACCA professional and experienced Accounting and Financial Management lecturer with extensive higher-education teaching, research, and financial analysis expertise. He holds a PhD in Accounting and Financial Management from the University of Portsmouth, an MSc in Accounting and Finance from Bath Spa University, an MSc in Finance, and a BSc in Accounting and Financial Management. His professional experience spans senior and lecturer roles at Anglia Ruskin University, Arden University, University of Portsmouth, and others, alongside FP&A experience at Oliver Wyman. His research interests include risk disclosure, big data analytics, financial reporting quality, and governance, supported by strong quantitative, coding, and statistical research skills. His academic contributions include peer-reviewed publications, teaching certifications, and international recognition, reflecting a sustained commitment to excellence in education, research, and inclusive academic leadership.

Citation Metrics (Scopus)

500
400
200
100
0

Citations
233

Documents
4

h-index
3

Citations

Documents

h-index


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Top Publications

Fahad Ali*, Muhammad Ahmar, YueXiang Jiang*, Mohammad Alahmad* (Forthcoming).

A Techno-economic Assessment of Hybrid Energy Systems in Rural Pakistan


Energy (SCI, Impact Factor: 6.082, Q1 Journal)

Fahad Ali*, RongRong He, Mohammad Alahmad*, YueXiang Jiang (Accepted).

Social Acceptance of Solar Technology in Developing Countries: Lessons for Pakistan


Journal of the Asian Economic Community (Journal launch & indexing in progress)

Fahad Ali, Elie Bouri, Nader Naifar, Syed Shahzad, Mohammad Alahmad* (Accepted).

Are Gold-backed Islamic Cryptocurrencies Safe Havens for International Islamic Equity Markets?


Research in International Business and Finance

Junyoung Kim | Dermatology | Research Excellence Award

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Dr. Junyoung Kim | Dermatology | Research Excellence Award

Kyungpook National University School of Medicine | South Korea

Dr. Junyoung Kim is an Associate Professor in the Department of Dermatology at Kyungpook National University School of Medicine, Daegu, Korea, with extensive academic and clinical experience in medical, surgical, and investigative dermatology. He earned his M.D., M.S., and Ph.D. degrees from Kyungpook National University School of Medicine and completed internship and residency training in dermatology at Kyungpook National University Hospital, followed by fellowship and academic appointments at Severance Hospital, Seoul. His academic career includes progression from Assistant Professor to Associate Professor and international research exposure as a Visiting Scholar at the University of Michigan Medical School. Dr. Kim’s research focuses on nail disorders, subungual melanoma, skin cancer, dermatologic surgery, cutaneous oncology, inflammatory skin diseases, and translational dermatology, with particular interest in nail unit pathology and surgical innovation. He has authored influential peer-reviewed publications in leading international dermatology journals and contributes actively to academic societies in dermatopathology, nail disease, skin cancer, and dermatologic surgery. According to bibliometric indicators, Dr. Kim has published 110 documents, achieved an h-index of 12, and accumulated approximately 641 citations. His work has advanced clinical understanding and surgical techniques in dermatology, particularly in nail melanoma and reconstructive procedures. Overall, Dr. Kim is recognized as a productive clinician-scientist whose scholarship continues to impact contemporary dermatologic practice and research.

Citation Metrics (Scopus)

700
500
300
100
0

Citations
641

Documents
110

h-index
12

Citations

Documents

h-index

View Scopus Profile

Featured Publications

A Huge Malignant Melanoma in an Elderly Patient: Rapid Palliative Surgical Excision Using Electrocautery
– Korean Journal of Dermatology, 2025
Dermoscopic Features and Their Association With Breslow Thickness of Facial Lentigo Maligna in Koreans: A Multi-Center Retrospective Study
– Journal of Dermatology, 2025
Hutchinson’s Nail Sign: Key Indicator for Subungual Melanoma and Differential Diagnosis
– Review Article
An Effective Technique for Nail Bed Anaesthesia and Access: A Novel Approach Using Punch Tool and 30G Needle
– Letter
Comparative Efficacy of Ustekinumab and Guselkumab in Improving Itch in Severe Psoriasis Patients
– Annals of Dermatology, 2025

Tianli Ding | Social Impact | Research Excellence Award

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Dr. Tianli Ding | Social Impact | Research Excellence Award

Northwest University | China

Dr. Ding Tianli is an Assistant Professor of Law whose scholarship centers on comparative law and intellectual property law, with particular emphasis on patent law, copyright law, and cross-border intellectual property protection. He earned a Doctor of Laws (LL.D.) through a joint doctoral program between Nanjing University and the University of Freiburg, where his training integrated Chinese and European legal traditions and methodologies. His academic experience includes teaching undergraduate and postgraduate courses such as Comparative Law, Intellectual Property Law, and Patent Law, alongside supervising graduate research in comparative legal systems and intellectual property disputes. Dr. Ding has also contributed to curriculum development and the strengthening of intellectual property law as a specialized discipline within legal education. International research experience as a research assistant at the University of Freiburg further enriched his expertise in comparative and international economic law with an East Asian focus. His research addresses the interaction between intellectual property protection, digital transformation, and governance, as well as interdisciplinary issues linking criminal law, psychology, and cognitive impairment. Dr. Ding has published in reputable international journals, reflecting both doctrinal and empirical approaches to contemporary legal challenges. Overall, his work aims to advance comparative legal understanding and support the development of effective intellectual property protection mechanisms in an increasingly globalized and digitalized legal environment.

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Featured Publication

Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

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Mrs. Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

North Dakota State University(NDSU) | United States

Umme Habiba is a dedicated researcher and educator in computer science whose work centers on machine learning, deep learning, transformer-based architectures, explainable AI, and swarm intelligence, particularly within medical data analysis. She is pursuing her Ph.D. and M.Sc. in Computer Science at North Dakota State University, where she has gained extensive teaching experience as an instructor of record and graduate teaching assistant across several undergraduate courses. Her research contributions span clinical text mining, medical risk prediction, brain–computer interface modeling, IoT security, and usability analysis of mHealth applications, with publications in reputable international journals. She has also collaborated on projects involving mobile sensor–based spatial analysis, voice-controlled IoT automation systems, and hybrid ML models for network intrusion detection. Her academic journey began with a bachelor’s degree in Computer Science and Engineering, where she developed a strong foundation in data-driven system design and intelligent applications. She has received consistently high teaching evaluations and has demonstrated a commitment to interdisciplinary research and student learning. Her long-term goal is to contribute impactful solutions at the intersection of artificial intelligence and healthcare while advancing as both a researcher and an educator.

Profile : Orcid

Featured Publication

PSO-optimized TabTransformer architecture with feature engineering for enhanced cervical cancer risk prediction, 2026

Ying Jin | Big Data Analytics | Best Researcher Awards

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Ying Jin | Big Data Analytics | Best Researcher Award

Professor, Nanjing University, China

Profile

 Scopus 

Prof. Jin Ying is a Professor at the Department of Computer Science and Technology, Nanjing University, widely recognized for her leadership and contributions in computer education, data mining, citation analysis, big data, and virtual reality applications. Her career bridges teaching, research, and academic service, reflecting a strong commitment to advancing both theoretical knowledge and practical innovations in the field of computer science. She has served in multiple influential academic and professional roles, helping shape the direction of education and technology integration in China.

Education

Prof. Jin began her academic journey in geochemistry and later transitioned into information management and computer science, bringing an interdisciplinary perspective to her work. She earned her Ph.D. in Management with a specialization in data mining and CSSCI research, which laid the foundation for her impactful contributions in citation analysis, big data, and education technology. Her diverse educational background allows her to integrate cross-disciplinary insights into computer science education and applied research.

Experience

Throughout her career at Nanjing University, Prof. Jin has advanced from teaching assistant to lecturer, associate professor, and eventually full professor. She teaches a wide range of courses including computer applications, Visual Basic, Python, and C programming, with her pedagogy focusing on innovation and practical engagement. Beyond the classroom, she serves as Group Lead of Visual Basic and Secretary of the Center of College Computer Test in Jiangsu Province. She is also an active member of the Computer Education Supervisory Committee (MOE, Liberal Arts), Jiangsu Computer Foundation Education Committee, and the Council on East China University Computer Foundation Education. Additionally, she contributes as a judge for the National College Computer Design Competition and as a peer reviewer for CSSCI-indexed journals.

Research Interests

Prof. Jin’s research integrates education and technology, addressing critical issues such as AI-driven talent training models, programming pedagogy reform in the AI era, flipped classroom strategies, big data course design for non-computer majors, and innovations in youth IT education. She has published widely in international journals and conferences, making significant contributions to the fields of data mining, education reform, and computational thinking. Her authored teaching resources, including College Basic Computer Applications and New Visual Basic Programming, are used across universities and contribute to improving computer education nationwide.

Awards

Prof. Jin’s achievements have been recognized through numerous awards and honors. She received the prestigious First Tan Haoqiang Computer Education Fund Outstanding Teacher Award and Nanjing University’s Shilin Teaching Award, reflecting her excellence in teaching and mentorship. She has also earned multiple best paper awards and nominations at international conferences, alongside prizes for guiding student projects in national-level computer design competitions. These recognitions highlight her dual impact as both a researcher and educator.

Featured Publications

  • Jin, Y. (2024). Exploration of K12 Multi-level Information and AI Talent Training Model.

  • Jin, Y. (2024). Exploration on Teaching Content Reform of Programming Course in the Era of AI.

  • Jin, Y. (2024). A survey of research on several problems in the RoboCup3D simulation environment.

  • Jin, Y. (2023). The Role of Science and Technology Innovation Competition in Talent Cultivation and Development.

  • Jin, Y. (2022). An approach for evaluating course acceptance based on Bayesian network. Int. J. of Intelligent Internet of Things Computing.

  • Jin, Y. (2022). Design and Implementation of a Cloud-Native Platform for Financial Big Data Processing Course.

  • Jin, Y. (2022). Hierarchical and Diverse Cultivation of Data Thinking Capability in College Based on New High School Curriculum Standards.

Conclusion

By combining rigorous scholarship, innovative teaching, and impactful leadership, Prof. Jin Ying has significantly advanced computer education reform and promoted the integration of technology with pedagogy. Her interdisciplinary vision and ability to merge data-driven methods with educational practice have influenced generations of students, equipping them with computational skills essential for the digital age. Through her roles in research, teaching, academic committees, and national projects, she continues to shape the landscape of computer science education in China and beyond, fostering a forward-looking environment that bridges research, practice, and innovation.