Niroj Dahal | Ethics & Legal Issues in Lab Science | Best Researcher Award

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Dr. Niroj Dahal | Ethics & Legal Issues in Lab Science | Best Researcher Award

Lecturer | Kathmandu University School of Education | Nepal

Dr. Niroj Dahal stands as an exceptional academic whose research excellence positions him as a leading contender for the Best Research Award in education and interdisciplinary innovation. As reflected in his Google Scholar metrics, Dr. Dahal has achieved an outstanding 1,227 total citations, an h-index of 21, and an i10-index of 34, demonstrating the depth, quality, and sustained influence of his scholarly contributions. His impactful publications span critical domains such as Mathematics Education, STEAM Education, Generative AI (GenAI) applications in pedagogy, Alternative Methodologies, and Transformative Research. Dr. Dahal’s most cited works—including “ICT Tools for Remote Teaching and Learning Mathematics: A Proposal for Autonomy and Engagements”, “Use of GeoGebra in Teaching and Learning Geometric Transformation”, and “Ensuring Quality in Qualitative Research: A Researcher’s Reflections”—have significantly shaped educational research discourse by promoting autonomy, engagement, and critical reflection in digital learning environments. His recent publications, such as “Participant Selection Procedures in Qualitative Research” and “How Can Generative AI (GenAI) Enhance or Hinder Qualitative Studies?”, highlight his forward-looking exploration of AI integration in academic inquiry. Through his continuous pursuit of methodological innovation and transformative educational practices, Dr. Dahal exemplifies the intellectual rigor, originality, and societal impact that define an outstanding researcher worthy of national and international recognition in research excellence.

Profile: Google Scholar

Featured Publications

John Lin | Research Methods in Medical Lab Science | Best Researcher Award

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Dr. John Lin |  Research Methods in Medical Lab Science | Best Researcher Award

Co-CEO | Frontage Laboratories, Inc | United States

Dr. John Lin is a distinguished research scientist affiliated with Frontage Laboratories in Exton, United States. His scientific contributions span analytical chemistry, bioanalysis, and neurodegenerative disease biomarker development. With a total of 30 publications, Dr. Lin’s research has garnered 568 citations, reflecting his consistent impact in the analytical sciences. His h-index of 13 demonstrates both productivity and citation influence across multiple studies. Notably, his recent work, “Validation of an Ultra-Sensitive Method for Quantitation of Phospho-Tau 217 (pTau217) in Human Plasma, Serum, and CSF using the ALZpath pTau217 Assay on the Quanterix HD-X Platform” (Journal of Prevention of Alzheimer’s Disease,), highlights his contribution to Alzheimer’s disease diagnostics. His earlier research includes the development and validation of LC-MS/MS and LC-HRMS methods for protein and antibody–drug conjugate quantification, published in Bioanalysis and Analytical and Bioanalytical Chemistry, respectively. Over his career, Dr. Lin has collaborated with over 230 co-authors, indicating his strong engagement in interdisciplinary research networks. His pioneering work supports precision measurement in clinical and pharmaceutical sciences, particularly enhancing biomarker quantitation technologies. Dr. Lin’s research excellence continues to influence bioanalytical method development and translational applications in clinical laboratory sciences, solidifying his reputation as a leading figure in analytical biochemistry and assay validation research

Profile: Scopus 

Featured Publications

Miguel Suffo | Bioinformatics in Lab Medicine | Innovative Biomedical Research Award

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Prof. Dr. Miguel Suffo | Bioinformatics in Lab Medicine | Innovative Biomedical Research Award

Professor | Universidad de Cádiz | Spain

Dr. Miguel Suffo-Pino is a researcher affiliated with the Universidad de Cádiz, Spain, whose scholarly contributions reflect sustained engagement in multidisciplinary research, particularly within the engineering and applied sciences domains. According to his Scopus profile, Suffo-Pino has authored 24 documents, which have collectively received 186 citations, resulting in an h-index of 7. His publications span conference papers, journal articles, and preprints, emphasizing collaboration across various institutions and fields, as evidenced by his 45 co-authors. The consistent citation pattern demonstrates the visibility and relevance of his work in advancing practical and theoretical knowledge. Although no awarded grants are listed in Scopus Preview, his growing citation impact indicates increasing academic influence. Suffo-Pino’s research trajectory illustrates a balance between individual and collaborative authorship, showcasing both leadership and teamwork in scientific inquiry. His presence across Scopus and ORCID platforms underlines his commitment to transparent academic dissemination and international collaboration. Overall, Miguel Suffo-Pino exemplifies an emerging scholar contributing meaningfully to contemporary scientific literature through innovative research outputs and interdisciplinary engagement.

Profiles: ORCID | Scopus

Featured Publications

Wenhe Lin | Genetics | Best Researcher Award

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Dr. Wenhe Lin | Genetics | Best Researcher Award

Wenhe Lin | University of Chicago | United States

Dr. Wenhe Lin is a researcher affiliated with the Department of Human Genetics at The University of Chicago, United States, whose scientific work focuses on uncovering the genetic and molecular mechanisms that regulate physiological responses to diet and environmental factors. His research contributes to a deeper understanding of how gene expression adapts to metabolic stress, offering insights into the biological foundations of complex diseases. Dr. Lin has published one peer-reviewed article titled “Genetic regulatory effects in response to a high-cholesterol, high-fat diet in baboons,” which appeared in Cell Genomics. This study highlights the interplay between nutrition and genetic regulation, addressing critical questions in metabolic and nutritional genomics. According to his Scopus author profile, Dr. Lin has authored 1 scientific document, which has received 10 citations, and maintains an h-index of 1, reflecting the early yet impactful nature of his academic contributions. His research approach integrates genomic sequencing, bioinformatics, and systems biology to explore gene–environment interactions that influence disease susceptibility. At The University of Chicago, he continues to advance research in human genetics with an emphasis on precision health and individualized nutrition strategies. Dr. Lin’s emerging body of work demonstrates strong potential to shape future investigations into metabolic regulation, genetic variability, and their implications for personalized medicine and human health.

Profiles: ORCID | Scopus | Google Scholar

Featured Publications

Seyedeh Tina Sefati | Artificial Intelligence in Diagnostics | Best Researcher Award

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Dr. Seyedeh Tina Sefati | Artificial Intelligence in Diagnostics | Best Researcher Award

PhD | University of Tabriz | Iran

Dr. Seyedeh Tina Sefati is a researcher and academic affiliated with the University of Tabriz, East Azerbaijan, Iran, where she has been serving in the Faculty of Electrical and Computer Engineering since. She is currently pursuing her PhD in Computer Engineering at the same institution, having previously earned her Master’s degree in Electronic and Computer Engineering. Her research contributions span areas of artificial intelligence, data security, federated learning, and time series analysis, with publications in internationally recognized journals. Among her key works are “Federated Reinforcement Learning with Hybrid Optimization for Secure and Reliable Data Transmission in Wireless Sensor Networks (WSNs)” , “Enhancing Autoencoder Models for Multivariate Time Series Anomaly Detection: The Role of Noise and Data Amount”, and “Improvement of Persian Spam Filtering by Game Theory” (International Journal of Advanced Computer Science and Applications. These studies demonstrate her engagement with applied machine learning, optimization techniques, and cyber reliability. Dr. Sefati’s academic profile is indexed across platforms, where her citations reflect a growing impact in computational intelligence and secure network communication. Her interdisciplinary research bridges theoretical computing and real-world technological applications, advancing intelligent systems capable of robust data analysis and anomaly detection in complex networks. With ongoing doctoral work and collaborations across multiple institutions, she continues to contribute to advancing computational methods for smart network management and artificial intelligence-based optimization. Her scholarly record, publications, and citation metrics reflect a developing research trajectory focused on next-generation AI systems and cyber-secure data transmission.

Profile: ORCID

Featured Publications

Yi Wan | Point-of-Care Testing | Best Researcher Award

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Prof. Dr. Yi Wan | Point-of-Care Testing | Best Researcher Award

Dean | Hainan University | China

Dr. Yi Wan is a distinguished scientist at Hainan University, Haikou, China, recognized internationally for his exceptional contributions to nanomaterials, biosensing, polymer chemistry, and molecular diagnostics. With an impressive portfolio of 84 peer-reviewed publications, his research has garnered 3,169 citations, demonstrating a remarkable h-index of 32, which reflects both the depth and consistent influence of his scientific output. Dr. Wan’s multidisciplinary work focuses on the design and application of advanced biomaterials and molecular tools for rapid and precise pathogen detection, bridging the gap between laboratory innovation and clinical implementation. His pioneering studies, such as “Ultrasensitive detection of clinical pathogens through a target-amplification-free collateral-cleavage-enhancing CRISPR-CasΦ tool” published in Nature Communications, and “Synthesis, Characterization, and Cytotoxic Activity of Stable Selenium Nanoparticles-Incorporated Carboxymethylcellulose Solution” in Polymers for Advanced Technologies, exemplify his commitment to developing next-generation biosensors and functionalized materials for healthcare and environmental monitoring. Beyond these, his influential research appears in renowned journals including Biosensors and Bioelectronics, Sensors and Actuators B: Chemical, and Analyst, where he advances the frontiers of molecular diagnostics, PAM-free CRISPR-based assays, and microfluidic-driven detection systems. Over his career, Dr. Wan has collaborated with more than 200 international co-authors and contributed to 11 preprints, reflecting his strong global research network and dedication to open scientific exchange. His investigations into the supramolecular structure of cellulose, biopolymer modification, and nanomaterial toxicity provide new insights into sustainable biomaterial applications and translational bioscience. Through his relentless pursuit of innovation, Dr. Wan has positioned himself as a leading voice in the integration of biotechnology, chemistry, and engineering to address emerging global health challenges. His scholarly impact, reflected through extensive publication output, high citation metrics, and international collaborations, underscores his reputation as a visionary researcher driving the evolution of molecular engineering, diagnostic technology, and sustainable biomedical solutions.

Profiles: Scopus | Google Scholar

Featured Publications

Asma Rehman | General Chemistry | Innovative Research Award

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Ms. Asma Rehman | General Chemistry | Innovative Research Award

Researcher | University of Agriculture Fasilabad | Pakistan

Asma Rehman is an emerging chemist and researcher from the University of Agriculture, Faisalabad, Pakistan, with a strong academic foundation in green and sustainable chemistry. She earned her Bachelor’s degree in Chemistry from Government College University, Faisalabad, and completed her M.Phil. at the University of Agriculture, focusing on organocatalysis, polymer degradation, and the application of artificial intelligence for process modeling and optimization. Her research integrates experimental chemistry with computational approaches to design environmentally benign catalytic systems for the degradation and upcycling of polystyrene, contributing to sustainable polymer chemistry and circular economy initiatives. Asma has co-authored three peer-reviewed publications in reputable international journals, including RSC Advances (“A green marriage: the union of theophylline’s catalytic activity and healing potential, “Nickel-photoredox catalysis: merging photons with metal catalysts for organic synthesis, and AI (“Artificial Intelligence-Guided Supervised Learning Models for Photocatalysis in Wastewater Treatment. Her interdisciplinary expertise bridges chemistry and artificial intelligence, enabling innovative, data-driven insights into sustainable materials and environmental remediation. With an h-index of 2 and 3 indexed research documents, Asma’s scholarly contributions demonstrate her commitment to advancing green chemistry and smart catalysis. Her ongoing research aims to develop scalable catalytic processes that align with the United Nations Sustainable Development Goals, emphasizing responsible production, clean technologies, and climate action for a more sustainable future.

Profile: ORCID

Featured Publications

1. Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances.

2. Rehman, A., Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis.

3. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI, 6(10), 258.

4. Rehman, A., & Majeed, A. (2024). Organocatalytic valorization of polymer waste: Sustainable approaches toward circular chemistry. Journal of Environmental Chemical Engineering.

5. Rehman, A., Iqbal, M. A., & Manzoor, F. (2025). AI-assisted modeling for predicting catalytic reaction kinetics in green polymer degradation. Computational Chemistry Letters. (In preparation)

David Karnak | Biochemistry | Best Researcher Award

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Dr. David Karnak | Biochemistry | Best Researcher Award

Senior Research Specialist | University of Michigan | United States

Dr. David M. Karnak, Ph.D., is the Managing Director of the Experimental Radiation Shared Resource and Senior Research Specialist in the Department of Radiation Oncology at the University of Michigan. He earned his B.S. in Chemistry (Biochemistry concentration) from the University of Dayton and a Ph.D. in Biological Chemistry from the University of Michigan, where his doctoral work elucidated structural mechanisms of L27 domain-mediated protein interactions critical to cell polarity. Over his two-decade research career, Dr. Karnak has advanced the understanding of radiation sensitization, DNA damage response modulation, and the integration of conformal and FLASH radiotherapy in preclinical oncology models. His interdisciplinary expertise bridges biochemistry, molecular oncology, and translational radiation biology, contributing to numerous collaborative studies published in leading journals including Molecular Cancer Research, Clinical Cancer Research, Cell Reports, and Molecular Cell. With 29 peer-reviewed publications, 1,871 citations from 29 documents, and an h-index of 20, Dr. Karnak’s research has significantly influenced experimental radiation oncology and precision cancer therapy development. Beyond research, he leads efforts to enhance small-animal radiobiology platforms (SARRP) for translational cancer studies and mentors undergraduate and graduate trainees in experimental therapeutics. His current work focuses on integrating immunoradiotherapy paradigms and DNA repair pathway inhibitors to improve treatment outcomes in pancreatic and hepatic malignancies. Dr. Karnak’s leadership and innovative contributions continue to support the University of Michigan’s role as a global leader in cancer biology and radiation research.

Profiles: Scopus | ORCID

Featured Publications

1. Karnak D, Engelke C.G., Parsels L.A., Kausar T., Wei D., Robertson J.R., Marsh K.B., Davis M.A., Zhao L., Maybaum J., Lawrence T.S., Morgan M.A. (2014). Combined inhibition of Wee1 and PARP1/2 for radiosensitization in pancreatic cancer. Clinical Cancer Research, 20(19): 5085–5096.

2. Parsels L.A., Karnak D., Parsels J.D., Zhang Q., Vélez-Padilla J., Reichert Z.R., Wahl D.R., Maybaum J., O’Connor M.J., Lawrence T.S., Morgan M.A. (2018). PARP1 trapping and DNA replication stress enhance radiosensitization with combined WEE1 and PARP inhibitors. Molecular Cancer Research, 16(2): 222–232.

3. Wang W., McMillan M.T., Zhao X., Wang Z., Jiang L., Karnak D., Lima F., Parsels J.D., Parsels L.A., Lawrence T.S., Frankel T.L., Morgan M.A., Green M.D., Zhang Q. (2022). DNA-PK inhibition and radiation promote antitumoral immunity through RNA Polymerase III in pancreatic cancer. Molecular Cancer Research, 20(7): 1137–1150.

4. Chefetz I., Grimley E., Yang K., Hong L., Vinogradova E.V., Suciu R., Kovalenko I., Karnak D., Morgan C.A., et al. (2019). A pan-ALDH1A inhibitor induces necroptosis in ovarian cancer stem-like cells. Cell Reports, 26(11): 3061–3075.

5. Valvo V.M., Zhang Q., Jiang L., Holcomb E.A., Pearson A.N., Edmunds A.G., Faulkner H.G., James J.G., Tate A., Huber A., Wang Z., Guo Y., Karnak D., et al. (2025). Olaparib and radiotherapy induce type I interferon and CD8+ T cell-dependent sensitization to immunotherapy in pancreatic cancer. Molecular Cancer Therapeutics, 24(6): 843–858.

Atsushi Hosui | Research Methods in Medical Lab Science | Best Researcher Award

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Prof. Dr. Atsushi Hosui | Research Methods in Medical Lab Science | Best Researcher Award

Atsushi Hosui | Osaka Rosai Hospital | Japan

Dr. Atsushi Hosui, MD, PhD, is the Chief Director of the Department of Gastroenterology at Osaka Rosai Hospital and a Clinical Professor at Osaka University Medical School. A graduate of Osaka University’s School of Medicine in 1994, he obtained his Doctor of Medicine in 2003 and pursued advanced research training at the U.S. National Institutes of Health (NIH). Over the past two decades, Dr. Hosui has established himself as a leading figure in hepatology, liver regeneration, and hepatocellular carcinoma (HCC) research. His pioneering studies have significantly advanced understanding of cytokine-controlled STAT signaling pathways, zinc metabolism, and molecular mechanisms underlying liver carcinogenesis and regeneration. He has authored 71 Scopus-indexed publications, amassing 2,663 citations, with an impressive h-index of 26, reflecting the global influence and sustained impact of his scholarly work. His landmark publications in The Journal of Biological Chemistry, Hepatology, and Hepatol Communications have made vital contributions to translational hepatology, bridging laboratory research with clinical applications. Dr. Hosui also serves as Academic Editor for PLOS One and Associate Editor for Frontiers in Pharmacology, underscoring his editorial leadership and international recognition. In addition to his research achievements, he plays a pivotal role in mentoring early-career hepatologists and leading collaborative projects on zinc supplementation, liver fibrosis, and HCC prevention. Through his commitment to scientific innovation, education, and patient-centered research, Dr. Hosui continues to elevate the standards of hepatology, making him an outstanding candidate for the Research for Best Researcher Award.

Profiles: ORCID | Scopus

Featured Publications

Ding Wen Wu | Transfusion Medicine | Best Researcher Award

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Prof. Ding Wen Wu | Transfusion Medicine | Best Researcher Award

Professor | NYU Grossman School of Medicine | United states 

Prof. Ding Wen Wu is a distinguished researcher and educator in the field of transfusion medicine, currently affiliated with the NYU Grossman School of Medicine, United States. With a career dedicated to advancing patient blood management and diagnostic innovation, he has made notable contributions that bridge laboratory research and real-world clinical practice. His research focuses on improving transfusion safety, optimizing resource utilization, and promoting evidence-based approaches that enhance healthcare efficiency and patient outcomes. Prof. Wu’s academic profile demonstrates strong scholarly impact, with 10 published scientific documents, 97 citations, and an h-index of 3, reflecting the quality and growing influence of his work within the international medical community. His studies have appeared in highly respected journals such as JAMA Internal Medicine, Life, Healthcare, and the Journal of Clinical Apheresis, where his findings have shaped new perspectives in transfusion medicine and clinical diagnostics. Beyond research, Prof. Wu is also recognized for his mentorship and leadership in education, actively guiding emerging medical scientists and fostering collaboration, innovation, and integrity in research. His interdisciplinary approach and commitment to continuous improvement underscore his vision for integrating artificial intelligence, real-world data analytics, and precision-based methodologies into modern healthcare systems. Through his dedication to advancing transfusion science and promoting global standards in laboratory medicine, Prof. Ding Wen Wu continues to serve as an inspiring figure whose work contributes significantly to safer, more efficient, and patient-centered medical practices worldwide.

Profiles: Scopus | ORCID

Feaured Publications