Imran Rehan l Data Classification | Best Researcher Award

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Assist. Prof. Dr. Imran Rehan l Data Classification | Best Researcher Award

Gomal University | Pakistan

Assist. Prof. Dr. Imran Rehan is a physicist specializing in biophotonics with a Ph.D. in Physics and a postdoctoral focus on AI in healthcare. With over a decade of teaching and research experience, Dr. Imran Rehan integrates Raman spectroscopy, LIBS, fluorescence spectroscopy, and phase-lock-in polarimetry with machine learning to develop noninvasive, label-free diagnostic tools for diseases such as diabetes, cancer, and kidney disorders. His research emphasizes clinical spectroscopy, biomarker discovery, and optical instrumentation development. Dr. Imran Rehan has published extensively, contributed to book chapters, designed advanced spectroscopic systems, and received honors including the International Outstanding Scientist Award and Best Researcher of the Year, demonstrating impactful interdisciplinary innovation.

Citation Metrics (Scopus)

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Citations
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Featured Publications

Machine learning assisted laser spectroscopy for simultaneous multiclass diabetes detection from blood plasma
– Microchemical Journal, 2026
Cardiovascular risk prediction in diabetes: a hybrid machine learning approach
– Biomedical Physics Engineering Express, 2025
A CatBoost and ExtraTrees-based softvoting ensemble approach for non-invasive diabetes detection using hair LIBS spectral data
– Microchemical Journal, 2025
Synthesis and characterization of CNTs doped polymeric composites: comparative studies on exploring impact of CNT concentration on morphological, structural, thermokinetic and mechanical attributes
– Zeitschrift Fur Physikalische Chemie, 2025
Application of Laser Spectroscopy and Machine Learning for Diagnostics of Uncontrolled Type 2 Diabetes
– Applied Spectroscopy, 2025

A’eashah Alhakamy | Data Visualization | Research Excellence Award

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Assoc. Prof. Dr. A’eashah Alhakamy | Data Visualization | Research Excellence Award

University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’eashah Alhakamy is an academic leader and researcher in computer science whose work spans computer graphics, computer vision, imaging, visualization, and extended reality, with a scholarly record comprising 27 published documents, 271 citations from 250 citing documents, and an h-index of 9. She earned her Ph.D. and M.Sc. in Computer Science from Purdue University, specializing in illumination integration in dynamic augmented-reality environments, following a B.Sc. in Computer Science from Taibah University. She serves as Associate Professor and Department Chair at the University of Tabuk, holding key leadership roles in data governance, academic affairs, research centers, and national committees. Her research focuses on augmented and extended reality, human-computer interaction, data visualization, immersive technologies, and AI-driven sensing systems, contributing to reputable venues such as IEEE Access, Applied Sciences, Sensors, and Sustainability. She has received multiple awards for outstanding scientific research, excellence in teaching, innovation, and high-impact publications from the University of Tabuk and national academic bodies. In addition, she has led funded grants, supervised numerous postgraduate and undergraduate projects, and contributed to major institutional initiatives. Through research, leadership, and continuous academic service, she remains committed to advancing immersive technologies and impactful computing research.

Profiles : Scopus | Orcid

Featured Publications

Alhakamy, A. (2025). Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3599337

Friedman, A., Tazike, M., Shelton, E. G., Patel, N. A., Alhakamy, A., & Cafaro, F. (2025). Puppeteers and Forecasters: How Children Engage. Conference paper. https://doi.org/10.1145/3694907.3765950

Alhakamy, A. (2025). Advancing SDG5: Machine Learning and Statistical Graphics for Women’s Empowerment and Gender Equity. Sustainability. https://doi.org/10.3390/su17219706

Friedman, A., Tazike, M., Shelton, E. G., Patel, N., Alhakamy, A., & Cafaro, F. (2025). “I’m a Fish!”: Exploring Children’s Engagement with Human–Data Interactions in Museums. Applied Sciences. https://doi.org/10.3390/app152111304

Alhakamy, A. (2024). Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0. ACM Computing Surveys. https://doi.org/10.1145/3652595

Jianwei Cheng | Engineering  | Best Scholar Award

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Prof. Jianwei Cheng | Engineering  | Best Scholar Award

China University of Mining and Technology | China

Dr. Jianwei Cheng is a distinguished professor in the College of Safety Engineering at the China University of Mining and Technology (CUMT), specializing in mine ventilation, gas explosion control, dust mitigation, and mine accident rescue strategies. He earned his B.S. and M.S. degrees in Safety and Mining Engineering from CUMT and completed his Ph.D. at West Virginia University, USA, further enhancing his expertise in mining safety. Dr. Cheng also holds an Associate Degree in Computer Science and Engineering. Since joining CUMT in 2012, he has led multiple research projects funded by government and industry, contributing significantly to mine ventilation design, explosion prevention, and safety strategies. Recognized internationally, he has served as a reviewer for over 100 journals, participated in the North American Mine Ventilation Symposium, and was awarded the Australia Endeavour Research Fellowship in 2015. His achievements include numerous national, provincial, and industry awards in science, technology, and teaching, reflecting his excellence in research and education. Dr. Cheng has published extensively, with 110 documents cited 1,729 times, achieving an h-index of 23. His work continues to advance the safety and efficiency of mining operations while promoting innovation in occupational health and mine rescue technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ran, D., Cheng, J., Sheng, S., Ma, Z., Fu, Q., Hou, W., & Chen, R. (2024). “A two-phase particle flow method based on SCLB for enhancing CBM recovery: Experimental testing and engineering applications” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.119754

Cheng, J., Sheng, S., Xu, Y., Luo, Y., & Islam, M.M. (2024). “Deformation prediction of overlying strata in multi-seam mining based on the influence function method-key stratum hybrid model” in Geomechanics and Geophysics for Geo-energy and Geo-Resources. DOI: 10.1007/S40948-024-00875-6

Cheng, J., Ma, Z., Fu, Q., Ran, D., Borowski, M., & Xi, Z. (2024). “Eco-friendly three-phase-gel foam with novel particle-gel crosslinking enhancing stabilization and fire extinguishing” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.120134

Ihsan, A., Cheng, J., Widodo, N.P., Wang, E., Waly, F.Z., Syachran, S.R., Fadillah, T., & Khamidah, H.N. (2024). “Hybrid method for analyzing air thermal conditions in underground mines” in Expert Systems with Applications. DOI: 10.1016/J.ESWA.2023.123026

Cheng, J., Hou, W., Zheng, X., Fediuk, R., Qin, Y., Chen, Z., Luo, Y., & Islam, M.M. (2024). “Modified space suspension bentonite-based powder for suppression dust explosion in moist conditions: Experimental testing and validations” in Fuel. DOI: 10.1016/J.FUEL.2024.132190

Vilma Petkova | Qualitative Research | Best Researcher Award

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Prof. Vilma Petkova | Qualitative Research | Best Researcher Award

Institute of Mineralogy and Crystallography “Acad. Ivan Kostov”, Bulgarian Academy of Sciences | Bulgaria

Prof. Vilma Petkova is an eminent chemist-engineer and researcher specializing in inorganic materials science, crystallography, thermal analysis, and environmentally clean technologies. She holds a Ph.D. in Chemical Technology and Metallurgy and has over three decades of academic and research experience, serving in positions ranging from Assistant Professor to full Professor at the Institute of Mineralogy and Crystallography, Bulgarian Academy of Sciences, and New Bulgarian University. Her research spans inorganic substances, nanomaterials, cement and construction materials, fertilizers, solid-phase kinetics, thermal and X-ray analysis, spectroscopy, and eco-friendly materials. Prof. Petkova has supervised numerous bachelor, master, and Ph.D. students, actively participated in over 130 national and international conferences, and contributed to more than 193 publications, including 89 indexed in IF/SJR journals, accumulating 904 citations across 744 documents with an h-index of 18. She has led and participated in national and international research projects, served on scientific councils, editorial boards, and accreditation panels, and received recognition for her leadership in thermal analysis and materials science. Her expertise integrates material characterization, environmental chemistry, biotechnology, and sustainable development. Prof. Petkova continues to advance research, mentor emerging scientists, and contribute to global knowledge in material science and chemistry, promoting innovations that balance technological progress with environmental sustainability.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Petkova, V., Mihaylova, K., Serafimova, E., Titorenkova, R., Tsvetanova, L., & Trikkel, A. (2025). “Impact of High Energy Milling and Mineral Additives on a Carbonate–Quartz–Apatite System for Ecological Applications.” Materials.

Petkova, V., Mihaylova, K., Kaljuvee, T., & Piroeva, I. (2025). “Induced structural changes within a natural apatite-calcite system via short-time mechanochemical activation.” Materials Chemistry and Physics.

Petkova, V., Stoyanov, V., Mihaylova, K., & Kostova, B. (2025). “Impact of pozzolanic and inert powders on the microstructure and thermal chemistry of cement mortars.” Ceramics International.

Stoyanov, V., Petkova, V., Mihaylova, K., & Shopska, M. (2024). “A Study of the Influence of Thermoactivated Natural Zeolite on the Hydration of White Cement Mortars.” Materials.

Serafimova, E., & Petkova, V. (2022). “BTEX exposure in indoor air in schools in Bulgaria.” IOP Conference Series: Materials Science and Engineering.

Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

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Prof. Dr. Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

University of Silesia | Poland

Prof. Dr. Piotr Porwik is a full professor in the Institute of Computer Science at the University of Silesia in Katowice, specializing in engineering and technical sciences. He earned his M.Sc. in computer science from the University of Silesia in 1978, his Ph.D. in 1985, and completed his habilitation in 2006 at AGH University of Science and Technology in Krakow. His research spans machine learning, biometrics, image processing, biomedical imaging, and spectral methods for Boolean functions. Across his career, he has authored 81 scientific documents that have attracted 1,003 citations from 783 citing documents, and he holds an h-index of 17. He has published extensively in journals, international conferences, books, and book chapters, while also supervising Master’s and Ph.D. students. Prof. Porwik has served in major academic leadership roles, including Deputy Dean and Director of the Institute, and played a key role in shaping academic publishing as Editor-in-Chief of the Journal of Medical Informatics and Technologies. His achievements have been recognized through numerous distinctions, including the Bronze Cross of Merit and multiple awards from the President of the University of Silesia for scientific accomplishments. His work continues to advance biometric security, classifier development, and biomedical informatics, underscoring his long-standing academic influence and research innovation.

Profiles : Scopus | Orcid

Featured Publications

Wrobel, K., Porwik, P., & Orczyk, T. (2025). “Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data” in (Book) / Lecture Notes in?

Mensah Dadzie, B., & Porwik, P. (2025). “Feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis” in (Book)

Porwik, P., Orczyk, T., Wrobel, K., & Mensah Dadzie, B. (2025). “A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks” in Journal of Artificial Intelligence and Soft Computing Research, (DOI: 10.2478/jaiscr-2025-0008).

Porwik, P., Orczyk, T., & Japkowicz, N. (2024). “Supervised and Unsupervised Analysis of Feature Drift in a New Type of Detector” in Preprint (Research Square)

Porwik, P., Orczyk, T., & Doroz, R. (2022). “A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier” in Lecture Notes in Computer Science

Zhifen Chen | Public Health Analytics | Best Researcher Award

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Dr. Zhifen Chen | Public Health Analytics | Best Researcher Award

German Heart Center, TUM University Hospital, Technical University of Munich (TUM) | Germany

Dr. Zhifen Chen is an Independent Junior Group Leader at the German Heart Center, Technical University of Munich, specializing in experimental cardiology. She earned her Bachelor’s degree in Life Sciences from Hubei Normal University and a Master of Science from Tsinghua University. Dr. Chen completed her PhD at the Technical University of Munich with a summa cum laude distinction, focusing on human iPSC-derived cardiomyocytes for cardiac disease modeling, therapeutic discovery, and safety pharmacology. She pursued postdoctoral research at Harvard University and the Beth Israel Deaconess Medical Center, contributing to functional genomics, CRISPR-based screening, and cardiovascular disease studies. Her research focuses on the genetics and molecular mechanisms of coronary artery disease, adipose tissue biology, insulin resistance, and cardiovascular precision medicine. Dr. Chen has secured multiple competitive grants, including from the DFG, DZHK, and international cardiovascular research partnerships. She has received numerous awards and honors, such as PhD summa cum laude, international travel awards, and conference prizes. She actively supervises postdoctoral researchers, PhD, MD, Master, and Bachelor students, and contributes to scientific communities as a reviewer, consortium member, and workshop organizer. Dr. Chen’s work integrates genome editing, transcriptomics, and advanced in vitro models to identify novel therapeutic targets, advancing cardiovascular research and translational medicine.

Profile : Orcid

Featured Publications

von Scheidt, M., Adkar, S. S., Krefting, J., Hoermann, G., Meggendorfer, M., Bauer, S., Mitchell, S., Pugach, I., Friess, C., Ma, A., et al. (2025). “Clonal Haematopoiesis of Indeterminate Potential and Mortality in Coronary Artery Disease.” European Heart Journal.

Xu, C., Nie, X., Chen, Z., Qu, J. Z., & Wang, D. (2025). “Stenotic Left Atrioventricular Valve after Atrioventricular Septal Defect Repair: A Distinct Surgical Phenotype.” The Journal of Thoracic and Cardiovascular Surgery.

Chen, Z., Li, S., Song, X., Diagel, A., Li, L., Moggio, A., Li, Z., Chen, Y., Dang, T., Li, M., et al. (2025). “An Interplay of Non-Coding RNAs Regulates CDH13 Expression and Affects Endothelial Function and Coronary Artery Disease Risk.” Preprint.

Byers, P., Kellerer, T., Li, M., Chen, Z., Huser, T., & Hellerer, T. (2025). “Super-Resolution Upgrade for Deep Tissue Imaging Featuring Simple Implementation.” Nature Communications.

Sanin, V., Schmieder, R. S., Koenig, W., Li, L., Schunkert, H., & Chen, Z. (2025). “Rolle der Genetik in der Präzisionsmedizin der Koronaren Herzkrankheit.” Herz.

Jin Ma – Experimental and survey – Best Researcher Award

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Dr Jin Ma - Experimental and survey - Best Researcher Award 

University of Adelaide - Australia

Author Profile

Early Academic Pursuits

Dr. Jin Ma began his academic journey at Hebei Normal University, China, where he earned a Bachelor of Science in Biological Sciences from 2001 to 2005. He further pursued his academic endeavors at Eastern Illinois University, where he completed an M.A. in Mathematics from 2005 to 2007. Later, he moved to California State University for undergraduate coursework in Accounting and Finance from 2008 to 2010. His passion for mathematics and accounting led him to earn an M.B.A. in Accountancy from Eastern Illinois University in 2015 and a Master of Commerce in Accounting from the University of Melbourne in 2016. Eventually, he earned a Ph.D. in Accounting from the University of Adelaide in 2022, where he specialized in auditing.

Professional Endeavors

Dr. Jin Ma's professional journey began as an Instructor in Mathematics at Taylor Business Institute, United States, in 2008. His role as a Budget Analyst at D J Bronson Inc. from 2010 to 2013 marked his transition into the finance sector. Jin then served as a Graduate Assistant at Eastern Illinois University from 2013 to 2015. Since May 2017, Jin has been associated with the University of Adelaide, where he currently holds the position of Lecturer in Accounting. He has also worked as a Research Assistant for esteemed professors like Indrit Troshani and Paul Coram.

Contributions and Research Focus

Dr. Jin Ma's research predominantly revolves around accounting and auditing, focusing on information quality, audit disclosures, financial technology, and regulatory implications. He has made significant contributions through peer-reviewed publications, working papers, and presentations at various conferences. Notably, his Ph.D. thesis titled "The Effects of Expanded Audit Disclosures on Auditors’ and Investors’ Fair Value Related Judgments and Decisions" earned him the Dean’s Commendation for Doctoral Thesis Excellence.

Accolades and Recognition

Dr. Jin Ma's exemplary academic and research contributions have garnered numerous accolades and recognition. He has been awarded the Dean’s Commendation for Doctoral Thesis Excellence in 2022 and has received various scholarships and grants, including the Tuition Fee Scholarship at the University of Adelaide in 2020-2021 and the Postgraduate Research Student Scholarship at the University of Melbourne in 2016.

Impact and Influence

Dr. Jin Ma's research on audit disclosures, investor perceptions, and the real effects of financial technology has significantly influenced the accounting and auditing domain. His peer-reviewed publications, conference presentations, and working papers have contributed to shaping academic discourse, policy formulation, and industry practices in auditing and financial reporting.

Legacy and Future Contributions

As a dedicated academician and researcher, Dr. Jin Ma's legacy lies in his profound contributions to the accounting and auditing field. His future endeavors are poised to further explore the intricate dynamics between audit disclosures, technology, and stakeholder perceptions. With ongoing research projects, working papers, and conference participations, Jin Ma continues to pave the way for innovative insights, thereby solidifying his legacy in academia and professional spheres.

Notable Publication