Craig Rogers | Clinical Chemistry | Research Excellence Award

Dr. Craig Rogers | Clinical Chemistry | Research Excellence Award

Doctor | Henry Ford Health | United States

Dr. Craig G. Rogers, MD, FACS, is a globally recognized leader in urologic oncology and robotic surgery, with a distinguished academic record of 334 peer-reviewed publications, 11,699 citations, and an h-index of 55. His research has substantiallyadvanced robotic partial nephrectomy, cytoreductive nephrectomy, prostate cancer surgery, and minimally invasive management of complex renal and adrenal tumors. A key contributor to major multi-institutional collaborations such as the Vattikuti Collective Quality Initiative and the Michigan Urological Surgery Improvement Collaborative (MUSIC), Dr. Rogers has generated high-impact evidence on surgical quality, renal functional preservation, predictive modeling, and perioperative optimization. His work integrates machine learning, real-world registry data, multicenter outcomes, and translational oncology to refine prognostication in kidney and prostate cancers. He has also led and contributed to clinical trials in renal cell carcinoma, prostate cancer immunotherapy, and BCG optimization. Through scientific leadership, guideline development, editorial service, and education, Dr. Rogers continues to shape international standards in urologic cancer care.

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Marek Markiewicz | Artificial Intelligence in Diagnostics | Research Excellence Award

Dr. Marek Markiewicz | Artificial Intelligence in Diagnostics | Research Excellence Award

 Doctor | Markiewicz Clinic Spolka z Ograniczona Odpowiedzialnoscia | Poland

Dr. Marek Markiewicz is a dedicated researcher whose work spans advanced methodological development, evidence-based investigation, and translational innovation across interdisciplinary scientific domains. Their research program emphasizes rigorous study design, analytical precision, and the generation of reproducible data to address complex scientific and clinical challenges. Over the course of their career, they have contributed to multiple peer-reviewed publications, conference presentations, and collaborative research initiatives, with an emphasis on developing optimized protocols, improving diagnostic accuracy, and expanding the scientific understanding of emerging technologies. Their scholarly output reflects continuous engagement with cutting-edge research themes, including biomarker discovery, molecular mechanisms underlying disease processes, experimental model refinement, and data-driven approaches to laboratory and clinical investigation. Through active participation in cross-disciplinary collaborations, they have facilitated the integration of laboratory evidence with real-world applications, promoting innovations that enhance scientific practice and support sustainable research growth. Their ongoing work involves supervising laboratory workflows, implementing quality-assurance frameworks, and contributing to grant-supported research aimed at expanding methodological capabilities. With a sustained record of citations, research productivity, and scientific impact, Dr. Markiewicz continues to advance their field through meticulous experimentation, critical analysis, and the dissemination of high-quality evidence, maintaining a long-term commitment to generating robust, generalizable knowledge that strengthens scientific standards and contributes meaningfully to the global research community.

Profile: ORCID

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Vicente Navarro Lopez | Artificial Intelligence in Diagnostics | Excellence in Research Award

Prof. Dr. Vicente Navarro Lopez | Artificial Intelligence in Diagnostics | Excellence in Research Award

Professor Doctor | Universidad Catolica de Murcia | Spain

Prof. Dr. Vicente Navarro Lopez has established a strong research profile marked by 2246 citations, an h-index of 23, and an i10-index of 34, reflecting sustained scholarly influence and consistent contributions to the scientific community. His work spans a wide range of research themes, integrating rigorous methodological approaches with a commitment to advancing evidence-based knowledge across interdisciplinary domains. Through continuous publication in high-impact, peer-reviewed journals, he has contributed analytical frameworks, experimental insights, and data-driven findings that have shaped current understanding and informed subsequent investigations. His research portfolio demonstrates a deliberate focus on generating reproducible, high-quality scientific outputs that address emerging challenges, refine existing conceptual models, and expand foundational knowledge within his field. Many of his publications are widely referenced, signifying enduring relevance and positioning his work as a resource for ongoing inquiry and methodological development. He frequently engages with collaborative research efforts, contributing expertise that strengthens cross-disciplinary knowledge exchange and fosters innovation. His scholarly record highlights an emphasis on translational significance, ensuring that theoretical advances interface meaningfully with practical applications and future research directions. Through sustained scientific productivity, methodological rigor, and commitment to advancing the research landscape, Vicente Navarro López has become a recognized contributor whose work continues to influence and enrich the broader academic community.

Profile: Google Scholar  

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Mathurin Dongmo Wamba | Laboratory Management & Accreditation | Best Researcher Award

Dr. Mathurin Dongmo Wamba | Laboratory Management & Accreditation | Best Researcher Award

Doctor | University of Bern | Switzerland

Dr. Mathurin Dongmo Wamba is an emerging geophysics researcher whose scientific contributions span global and regional seismic tomography, environmental seismology, geothermal energy exploration, and mantle plume imaging, reflected through 8 published documents, 74 citations, and an h-index of 3. His research integrates advanced seismic imaging, waveform modeling, inverse theory, and data-space cross-validation to investigate deep Earth structures, including plume conduits, mantle ponding zones, and upper-mantle heterogeneities across the Indian and Pacific Oceans. He has produced influential studies on deep mantle plumbing beneath La Réunion and Comoros hotspots, full-waveform tomography of the Indian Ocean, and cross-validated interpretations of mantle structure using global tomographic models. His work also extends to environmental seismology, where he links seismic signals with hydrodynamic and meteorological processes to monitor natural hazards such as slope failures, river discharge variability, wind-induced lake responses, and methane degassing, using multimodal datasets collected from ocean-bottom seismometers, hydrophones, ADCPs, and weather stations. He applies multidisciplinary techniques combining signal processing, numerical modeling, machine learning, and climate-linked data analysis to develop innovative approaches for subsurface imaging and hazard monitoring in marine and lacustrine environments. His research contributions encompass major international projects such as MERMAID, RHUM-RUM, and regional environmental monitoring initiatives in Switzerland. Through continued publication, scholarly reviews, and collaborative work across seismology, geodynamics, and environmental geoscience, he advances high-resolution imaging frameworks and novel observational strategies that deepen understanding of Earth structure and geophysical processes.

Profiles: Scopus | ORCID  

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Yong Shen | Research Methods in Medical Lab Science | Best Medical Scientist Award

Prof. Dr. Yong Shen | Research Methods in Medical Lab Science | Best Medical Scientist Award

Professor Doctor | University of Science and Technology of China | China

Dr. Yong Shen is a leading neuroscientist internationally recognized for his extensive contributions to the molecular, cellular, and translational research of neurodegenerative diseases, particularly Alzheimer’s disease. His work spans over three decades, covering the discovery of serotonin receptor subtypes, fundamental elucidation of neuroimmune and inflammatory mechanisms in neuronal injury, and pioneering studies on amyloid precursor protein processing, β-secretase (BACE1) biology, and tau-related pathology. He has played a central role in advancing biomarker science by developing and validating cerebrospinal fluid, plasma, and imaging biomarkers for early detection and progression monitoring of Alzheimer’s disease, Parkinson’s disease, and vascular cognitive impairment. Dr. Shen has led major research programs on brain aging, neural circuit degeneration, endothelial dysfunction, and glial senescence, contributing critical insights into small vessel disease, blood–brain barrier breakdown, and neurovascular injury. His laboratory has been at the forefront of therapeutic discovery, evaluating small molecules, antibody-based interventions, natural compounds, and neuromodulatory targets, while also directing large multicenter initiatives such as the China Aging and Neurodegenerative Initiative (CANDI), which integrates machine learning, blood-based biomarkers, and multimodal diagnostics. His prolific publication record includes high-impact findings in Nature Medicine, Neuron, PNAS, Circulation Research, and other leading journals, shaping contemporary understanding of Alzheimer’s disease mechanisms. Dr. Shen’s long-standing leadership includes founding major research centers, establishing brain and biospecimen banks, mentoring numerous doctoral and postdoctoral researchers, and serving on major scientific review panels across NIH, NSF, European, Japanese, and Chinese funding agencies. His contributions continue to influence global strategies in biomarker discovery, disease modeling, and precision intervention in neurodegeneration.

Profile:  ORCID  

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Fatemeh Rezaei | Spectrophotometry | Editorial Board Member

Assoc. Prof. Dr. Fatemeh Rezaei | Spectrophotometry | Editorial Board Member

Associate Professor | K. N. Toosi University of Technology | Iran

Dr. Fatemeh Rezaei is a research-driven physicist whose work spans laser–plasma interaction, spectroscopic diagnostics, biophotonics, and advanced photonic applications, contributing significantly to 38 scientific documents with 540 citations and an h-index of 11. Her research integrates experimental laser systems, numerical plasma simulations, nanoparticle-assisted photothermal and photodynamic cancer therapy, and machine-learning-enhanced spectroscopic analysis. She has advanced the understanding of optically thick laser-induced plasmas through refined models of ablation dynamics, plasma expansion, radiation transport, and self-absorption correction, producing widely referenced methods in LIBS-based quantitative analysis. Her studies on plasma emission modeling, shadowgraphy-assisted diagnostics, and temporally and spatially resolved spectroscopy have deepened insights into plasma temperature estimation, species behavior under various ambient conditions, and the influence of noble gases on emission profiles. Dr. Rezaei has also contributed to multidisciplinary biomedical photonics through simulations and experimental investigations of laser-nanoparticle cancer therapy, integration of microwave–laser modalities, and development of theranostic nanocomposites for targeted treatment and imaging. Her work further encompasses laser Doppler vibrometry, acoustic tweezing simulations, nanofluid thermal characterization, and deep-learning-based spectral interpretation for material classification and concentration prediction. She has authored influential review papers, contributed book chapters on plasma spectroscopy and thermal conductivity methods, and participated in international conferences focused on plasma science and photonic technologies. Collectively, her research strengthens both the theoretical foundations and applied innovations in laser spectroscopy, photonics-based diagnostics, and computational–experimental plasma physics, making notable contributions to scientific progress in these interconnected domains.

Profiles: ScopusORCID | Google Scholar  

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Hamid Rehman | Microbiology | Research Excellence Award

Dr. Hamid Rehman | Microbiology | Research Excellence Award

Doctor | Yıldız Technical University | Turkey

Dr. Hamid Rehman, with 44 citations, 8 peer-reviewed documents, and an h-index of 4, has developed a growing research footprint in environmental microbial biotechnology, sustainable remediation technologies, and predictive analytics for complex environmental systems. His work integrates experimental, materials-based, and data-driven approaches to address soil and water contamination, waste valorization, and climate-related environmental challenges. Dr. Rehman’s contributions span bioleaching of waste-derived rare earth elements, machine-learning-optimized biochar–microbe systems for toxic metal remediation, and electromagnetic biochar development for enhanced cadmium removal from industrial effluents. His studies published in leading journals—including Scientific Reports, Environmental Management, Journal of Cleaner Production, International Journal of Environmental Science and Technology, and Results in Engineering—highlight innovative solutions that merge microbial processes, engineered materials, and sustainability principles. He has also contributed to the advancement of stormwater treatment technologies using expanded shale aggregates and biochar, explored nanoparticle-enhanced microbial enzymatic systems, and co-authored forward-looking reviews on bioinspired and biomass-derived carbon materials for next-generation battery applications. Dr. Rehman’s research portfolio reflects strong international collaboration, including work in subsurface engineering, soil biology, and environmental chemistry, supported by competitive fellowships and multidisciplinary project involvement. His scientific output demonstrates continuous commitment to developing scalable, eco-efficient frameworks grounded in biotechnology, environmental engineering, and system-level modeling. In addition to his publications, Dr. Rehman serves as a reviewer for several reputable journals, contributing to the advancement of rigorous environmental research and emerging sustainable technologies.

Profiles: Scopus | ORCID  

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Heming Li | Molecular Biology | Research Excellence Award

Dr. Heming Li | Molecular Biology | Research Excellence Award

Doctor | The first hospital of China Medical University | China

Dr. Heming Li is an oncology clinician-scientist whose research has generated 1,045 citations across 37 scientific documents with an h-index of 17, reflecting a sustained impact on translational cancer science. His work centers on liquid biopsy innovations, particularly circulating tumor cells (CTCs), tumor invasion and metastasis, and immunotherapy biomarkers in lung, gastric, and hepatobiliary cancers. Dr. Li is recognized for pioneering one of China’s earliest and most sensitive cell-surface vimentin (CSV)–based CTC detection platforms, integrating negative and positive enrichment to enhance diagnostic accuracy, reduce costs, and enable real-time monitoring of tumor evolution. His research spans EMT regulation, immune escape, metabolic reprogramming, and multi-omics characterization of metastatic pathways, leading to first-author and corresponding-author publications in high-impact journals such as The Lancet, Journal of Hematology & Oncology, Journal of Experimental & Clinical Cancer Research, Molecular Cancer, Cancer Letters, and Cell Death & Disease. He has elucidated mechanisms including IGF-IR signaling, KDM4A/STAT3-driven tumor progression, ICAM-1-mediated microenvironmental adaptation, and PD-L1 expression on CSV⁺ CTCs as a prognostic marker in gastric cancer. His recent studies have also advanced understanding of FGL1 as an immune checkpoint target and the biological significance of TROP2 in cancer therapeutics. As principal investigator, he has secured major national and provincial funding, including NSFC General and Young Programs, to study CTC-based biomarkers, immunotherapy prediction models, and metastasis-driving pathways. Through sustained contributions across liquid biopsy technology, molecular oncology, and clinically actionable biomarker development, Dr. Li has established a leading research profile shaping the future of precision cancer care.

Profile: Scopus  

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Eustachio Tarasco | Mycology | Best Researcher Award

Prof. Eustachio Tarasco | Mycology | Best Researcher Award

Professor | University of Bari Aldo Moro | Italy

Dr. Eustachio Tarasco is a leading researcher in entomology, zoology, and nematology with a prolific scientific record comprising 1,179 citations, 80 documents, and an h-index of 20. His research spans insect biology, morphology, ecology, behaviour, and natural antagonists across forest, agrarian, and urban ecosystems, with major contributions to integrated pest management and the development of sustainable, microbiological control strategies. He has produced extensive work on entomopathogenic nematodes and fungi particularly Steinernematidae, Heterorhabditidae, and Beauveria and Metarhizium species focusing on biodiversity, taxonomy, ecology, and their application as biological control agents. Dr. Tarasco is coauthor of seven newly described nematode species and has led or contributed to numerous national and international research projects funded by bodies such as CNR, MIUR, MASAF, and European collaborative programs. His scientific leadership includes coordination of multi-institutional initiatives on Xylella fastidiosa, biological control innovations, soil biodiversity, vineyard soil quality, and agroecosystem resilience. He has built advanced laboratories for insect pathology and soil biological quality (QBS) analysis and maintains long-standing collaborations with international institutions across Europe, Asia, and the Americas. Dr. Tarasco has served in editorial roles for several high-impact journals, including Frontiers and Heliyon, and has been Editor-in-Chief for multiple IOBC-WPRS Bulletins. He has acted as peer reviewer for 147 scientific journals and evaluated competitive research proposals for ANR, FNSNF, and ANVUR. His scientific influence extends to organizing major international meetings and contributing as an invited speaker globally, solidifying his role as a key figure in advancing microbial and nematode control within modern entomological science.

Profiles: Scopus | Google Scholar | ORCID 

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Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Prof. Dr. Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Professor Doctor | University of Murcia | Spain

Dr. Pia López-Jornet is a leading researcher in Oral Medicine whose extensive scientific contributions have significantly shaped current understanding of oral mucosal diseases, saliva biomarkers, and oral potentially malignant disorders. With a prolific record of 263 research documents, 5,278 citations, and an h-index of 39, she has established a strong global impact across dentistry, oral pathology, and translational oral science. Her research spans clinical, molecular, and diagnostic investigations, focusing on burning mouth syndrome, xerostomia, oral lichen planus, leukoplakia, and early oral cancer detection. Dr. López-Jornet has advanced the field through pioneering studies on salivary biomarkers, demonstrating their role in inflammation, oxidative stress, immune regulation, and disease monitoring. She has conducted numerous randomized clinical trials evaluating non-pharmacological therapies, photobiomodulation, laser applications, and biomaterials for oral tissue regeneration. Her systematic reviews and meta-analyses have synthesized global evidence, contributing to improved diagnostic accuracy and therapeutic strategies. She has also explored emerging diagnostic technologies such as infrared thermography, fractal dimension analysis of bone structures, and cone-beam computed tomography to enhance clinical decision-making. With a strong commitment to patient-centered research, she has extensively studied quality-of-life outcomes, treatment satisfaction, and psychological factors associated with chronic oral conditions. Dr. López-Jornet’s scientific leadership is reflected in her continuous contributions to high-impact journals and international collaborations, establishing her as a prominent figure advancing biomarker-based diagnostics, evidence-based therapies, and innovation in Oral Medicine.

Profiles: Scopus | Google Scholar | ORCID

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