Chia-Hung Lai | Machine Learning for Smart Manufacturing | Best Researcher Award

Published on by CAD Awards

Assoc. Prof. Dr. Chia-Hung Lai | Machine Learning for Smart Manufacturing | Best Researcher Award

Associate Professor | National Chin-Yi University of Technology | Taiwan

Chia-Hung Lai, Ph.D., is an interdisciplinary researcher whose work bridges intelligent automation, smart manufacturing, and advanced sensing technologies to enhance industrial reliability and technical education. His research integrates deep learning, machine vision, nondestructive testing, and engineering information security, with notable contributions to welding automation, gear defect detection, tool-breakage prediction, and secure engineering data transmission. He has developed innovative AI-driven diagnostic systems using convolutional neural networks, symmetrized dot patterns, discrete wavelet transforms, and current-sensing analytics, enabling high-precision detection of defects in manufacturing processes. His studies also explore VR/AR-based learning systems, reflecting his commitment to advancing industry-aligned technical education through immersive and intelligent technologies. In addition, he has contributed to environmentally sustainable engineering through deep learning approaches for monitoring emissions in industrial operations. His work in information security demonstrates a unique blend of engineering design and cybersecurity through novel applications of steganography in CAD environments. With multiple publications in SCIE-indexed journals and recognition through awards and competitive achievements, he has established a strong research footprint across automation, sensing, and applied AI. He actively contributes to the scholarly community through reviewing roles and by leading numerous industry–academic collaborative projects focused on intelligent systems, advanced diagnostics, and smart manufacturing innovation.

Profiles:  Scopus | Google Scholar

Featured Publications

Chien, Y.-C., Wu, T. T., Lai, C.-H., & Huang, Y.-M. (2022). Investigation of the influence of artificial intelligence markup language-based LINE ChatBot in contextual English learning. Frontiers in Psychology, 13, 785752.

Lai, C.-H., Liu, M.-C., Liu, C.-J., & Huang, Y.-M. (2016). Using positive visual stimuli to lighten the online learning experience through in-class questioning. International Review of Research in Open and Distributed Learning, 17(1), 23–41.

Huang, Y.-M., Liu, M.-C., Lai, C.-H., & Liu, C.-J. (2017). Using humorous images to lighten the learning experience through questioning in class. British Journal of Educational Technology, 48(3), 878–896.

Liu, C.-J., Huang, C.-F., Liu, M.-C., Chien, Y.-C., Lai, C.-H., & Huang, Y.-M. (2015). Does gender influence emotions resulting from positive applause feedback in self-assessment testing? Evidence from neuroscience. Journal of Educational Technology & Society, 18(1), 337–350.

Lai, C.-H., Wu, T. E., Huang, S.-H., & Huang, Y.-M. (2020). Developing a virtual learning tool for industrial high schools’ welding course. Procedia Computer Science, 172, 696–700.

Liu, M.-C., Lai, C.-H., Su, Y.-N., Huang, S.-H., Chien, Y.-C., & Huang, Y.-M., & Hwang, J. P. (2015). Learning with great care: The adoption of the multi-sensor technology in education. In Sensing technology: Current status and future trends III (pp. 223–242).

Lai, C.-H., & Yang, H.-C. (2016). Theoretical investigation of a planar rack cutter with variable diametral pitch. Arabian Journal for Science and Engineering, 41(5), 1585–1594.

Nadeer Gharaibeh | AI-based Medical Image Analysis | Best Researcher Award

Published on by CAD Awards

Dr. Nadeer Gharaibeh | AI-based Medical Image Analysis | Best Researcher Award

Master in Radiology | Huazhong University of Science and Technology | China

Dr. Nadeer Gharaibeh is an emerging radiology researcher whose work integrates advanced medical imaging, radiomics, and AI-assisted diagnostic technologies to enhance clinical interpretation and patient outcomes. His academic and clinical background spans radiology training, clinical imaging practice, and participation in multidisciplinary care, shaping a strong foundation in CT, MRI, radiomics analysis, and interventional imaging principles. With 3 citations across 3 indexed documents, 6 total research documents, and an h-index of 1, his early scholarly footprint reflects steady growth and increasing academic visibility. His research focuses on quantitative imaging, deep learning–based diagnostic enhancement, and the application of compositional MRI techniques for early disease detection. He has contributed to studies on musculoskeletal imaging, venous thrombosis assessment, knee joint instability detection using AI algorithms, and advanced MRI applications in spine pathology, reflecting his commitment to bridging imaging science with clinical relevance. Dr. Gharaibeh’s publications highlight diagnostic challenges, imaging biomarkers, and the potential of machine learning to refine radiologic evaluation. He has actively engaged in international radiology forums, imaging exchange programs, and academic collaborations, strengthening his global research perspective. Alongside his scientific work, he remains consistently involved in clinical projects, imaging workshops, and academic discussions, demonstrating strong analytical, communication, and teamwork capabilities. His broader contributions include community engagement and cultural initiatives, reflecting a well-rounded professional ethos grounded in service, leadership, and continuous learning. Overall, Dr. Gharaibeh’s research trajectory positions him as a dynamic contributor to the evolving fields of medical imaging, radiomics, and AI-driven radiology innovation.

Profile:  Scopus

Featured Publications

  • Gharaibeh, N. M., Fadoul, H. M., Al-Sarairah, A. H., & Li, X. (2025, July). Osteoid osteoma of the joint capsule: A case report highlighting diagnostic challenges and the role of advanced imaging.

  • Sun, D., Wu, G., Zhang, W., Gharaibeh, N. M., & Li, X. (2025, January). Visualizing preosteoarthritis: Updates on UTE-based compositional MRI and deep learning algorithms.

  • Li, T., Gharaibeh, N. M., Jia, S., & Wu, G. (2024, December). YOLOv8 algorithm-aided detection of patellar instability or dislocation on knee joint MRI images.

  • Wu, G., Wu, Y., Gharaibeh, N. M., & Li, X. (2024, August). Magnetic resonance evaluation of deep venous thrombosis of 338 discharged viral pneumonia patients.

  • Fadoul, H. M., Gharaibeh, N. M., Wu, G., & Li, X. (2024, February). The value of 3D SPACE MRI in differentiating between sequestrated lumbar disc herniation and tumors: Two cases and literature review.

 

Henry Barham | Surgery | Best Researcher Award

Published on by CAD Awards

Dr. Henry Barham | Surgery | Best Researcher Award

Rhinologist | Sinus and Nasal Specialists of Louisiana | United States

Henry Pipes Barham, MD, FARS is a distinguished rhinologist and skull base surgeon whose research advances the understanding and treatment of complex sinonasal and upper airway disorders. His scholarly work spans clinical investigation, molecular studies, and translational science, contributing valuable insights into pediatric and adult otolaryngologic conditions. Dr. Barham has published influential studies on curcumin’s therapeutic potential in head and neck squamous cell carcinoma through modulation of the Akt/mTOR pathway, expanding the scientific dialogue on targeted cancer therapies. His research also explores collaborative surgical strategies in pediatric thyroidectomy, rare inflammatory and congenital sinonasal disorders, and unusual airway manifestations associated with genetic syndromes. Notably, he has contributed to advancing knowledge on idiopathic sclerosing inflammation, congenital nasolacrimal duct anomalies, and complex paranasal sinus tumors, enriching diagnostic and therapeutic approaches in these challenging cases. Dr. Barham’s work in sensory cell biology, including investigations into solitary chemosensory cells and bitter taste receptor signaling in human sinonasal mucosa, has deepened understanding of airway immunological and chemosensory mechanisms. Beyond peer-reviewed publications, he has produced educational surgical content for the American Rhinologic Society, supporting global dissemination of advanced rhinologic techniques. Through a strong commitment to clinical excellence, innovation, and academic contribution, Dr. Barham continues to influence best practices in rhinology and skull base surgery.

Profile:  Orcid

Featured Publications

  • Clark, C. A., Rong, Y., Rong, X., Shah, S., Barham, H., & Nathan, C. O. (2009). Curcumin inhibits HNSCC by modulating the Akt/mTOR pathway. Oral Oncology, 3(1).

  • Wood, J. H., Partrick, D. A., Barham, H. P., Bensard, D. D., Travers, S. H., Bruny, J. L., & McIntyre, R. C., Jr. (2011). Pediatric thyroidectomy: A collaborative surgical approach. Journal of Pediatric Surgery, 46(5), 823–828.

  • Barham, H. P., Dishop, M. K., & Prager, J. D. (2012). Idiopathic sclerosing inflammation presenting as sinusitis. Allergy & Rhinology (Providence), 3(2), e101–e104.

  • Barham, H. P., Wudel, J. M., Enzenauer, R. W., & Chan, K. H. (2012). Congenital nasolacrimal duct cyst/dacryocystocele: An argument for a genetic basis. Allergy & Rhinology (Providence), 3(1), e46–e49.

  • Barham, H. P., Said, S., & Ramakrishnan, V. R. (2013). Colliding tumor of the paranasal sinus. Allergy & Rhinology (Providence), 4(1), e13–e16.

  • Barham, H. P., Cooper, S. E., Anderson, C. B., Tizzano, M., Kingdom, T. T., Finger, T. E., Kinnamon, S. C., & Ramakrishnan, V. R. (2013). Solitary chemosensory cells and bitter taste receptor signaling in human sinonasal mucosa. International Forum of Allergy & Rhinology, 3(6), 450–457.

 

Yunus Arzik | Animal Science | Excellence in Innovation Award

Published on by CAD Awards

Dr. Yunus Arzik | Animal Science | Excellence in Innovation Award

Assistant Professor | Aksaray University | Turkey

Dr. Yunus Arzik is a distinguished researcher at Aksaray University specializing in animal genetics and genomics, with a focus on genome-wide association studies (GWAS) for economically important traits and disease resistance in livestock. His research integrates quantitative genetics, genome analysis, and molecular biology to unravel the complex genetic mechanisms underlying growth, productivity, and health traits in sheep, cattle, and poultry. With 14 publications, over 130 citations from 95 documents, and an h-index of 7, Dr. Arzik has made notable contributions to advancing the understanding of genetic variation influencing animal performance and resilience. His recent works employ advanced genomic and transcriptomic approaches—such as RNA-Seq and small RNA-Seq—to identify candidate genes and regulatory pathways associated with traits like wool quality, parasite resistance, and metabolic responses in animals. By combining statistical genetics and machine learning-based GWAS models, his studies provide valuable insights into the genomic architecture of economically and biologically relevant traits, supporting the development of sustainable breeding strategies. His publications in leading journals such as Genes, Scientific Reports, International Journal of Molecular Sciences, and Veterinary Medicine and Science reflect the breadth and impact of his research. Dr. Arzik also contributes to the scientific community as a reviewer for international journals, reinforcing his commitment to advancing animal health, welfare, and productivity through innovative genomic research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Yilmaz, O., Kizilaslan, M., Arzik, Y., Behrem, S., Ata, N., Karaca, O., Elmaci, C., et al. (2022). Genome‐wide association studies of preweaning growth and in vivo carcass composition traits in Esme sheep. Journal of Animal Breeding and Genetics, 139(1), 26–39.

  • Kizilaslan, M., Arzik, Y., White, S. N., Piel, L. M. W., & Cinar, M. U. (2022). Genetic parameters and genomic regions underlying growth and linear type traits in Akkaraman sheep. Genes, 13(8), 1414.

  • Arzik, Y., Kizilaslan, M., Behrem, S., White, S. N., Piel, L. M. W., & Cinar, M. U. (2023). Genome-wide scan of wool production traits in Akkaraman sheep. Genes, 14(3), 713.

  • Kizilaslan, M., Arzik, Y., Cinar, M. U., & Konca, Y. (2022). Genome-wise engineering of ruminant nutrition–nutrigenomics: Applications, challenges, and future perspectives – A review. Annals of Animal Science, 22(2), 511–521.

  • Kizilaslan, M., Arzik, Y., Behrem, S., White, S. N., & Cinar, M. U. (2024). Comparative genomic characterization of indigenous fat‐tailed Akkaraman sheep with local and transboundary sheep breeds. Food and Energy Security, 13(1), e508.

  • Arzik, Y., Kizilaslan, M., White, S. N., Piel, L. M. W., & Çınar, M. U. (2022). Genomic analysis of gastrointestinal parasite resistance in Akkaraman sheep. Genes, 13(12), 2177.

  • Arzik, Y., Kizilaslan, M., White, S. N., Piel, L. M. W., & Cinar, M. U. (2022). Estimates of genomic heritability and genome-wide association studies for blood parameters in Akkaraman sheep. Scientific Reports, 12(1), 18477.

  • Gul, S., Arzik, Y., Kizilaslan, M., Behrem, S., & Keskin, M. (2023). Heritability and environmental influence on pre-weaning traits in Kilis goats. Tropical Animal Health and Production, 55(2), 85.

Ilana Golub | Medicine | Best Researcher Award

Published on by CAD Awards

Dr. Ilana Golub | Medicine | Best Researcher Award

Resident Physician | University of California, Los Angeles | United States

Dr. Ilana S. Golub is a physician-scientist specializing in cardiovascular imaging, preventive cardiology, and academic internal medicine. Her research focuses on non-invasive cardiac imaging, particularly cardiac CT scanning, to advance the early detection and risk assessment of atherosclerotic cardiovascular disease. She has made significant contributions to understanding coronary calcium scoring, arterial calcification, and imaging biomarkers of subclinical atherosclerosis. Her first-author publication on “Major Global Coronary Artery Calcium Guidelines” was recognized among the American College of Cardiology’s Top 10 Contents, reflecting her influence on global clinical practice. Dr. Golub’s research portfolio includes 18 peer-reviewed publications, more than 35 published abstracts, and numerous national conference presentations. With 308 citations across 297 indexed documents and an h-index of 5, her scholarly impact spans both academic and clinical domains. In addition to her research, she has demonstrated outstanding leadership in mentorship, medical education, and community health through her work with the UCLA Mobile Clinic Project, integrating medical care with social work and public health outreach to serve unhoused populations. Her academic pursuits embody a strong commitment to advancing clinical excellence, research innovation, and compassionate, community-centered healthcare.

Profiles: Scopus | Orcid

Featured Publications

  • Golub, I. S., Lakshmanan, S., & Budoff, M. J. (2020). Myocardial crypt, diverticulum, or aneurysm? CTA as an adjudicator. International Journal of Cardiovascular Imaging, 36(10), 2061–2062.

  • Golub, I. S., Lakshmanan, S., Calicchio, F., & Budoff, M. J. (2020). Computed tomography angiogram: Diagnosing device placement failure. Journal of Cardiovascular Computed Tomography, 14(6), e163–e164.

  • Golub, I. S., Dahal, S., Calicchio, F., & Budoff, M. J. (2021). Novel use of coronary artery calcium scoring. Coronary Artery Disease, 32(1), 86–87.

  • Golub, I. S., Lakshmanan, S., Dahal, S., & Budoff, M. J. (2021). Utilizing coronary artery calcium to guide statin use. Atherosclerosis, 326, 17–24.

  • Golub, I. S., Dahal, S., Lakshmanan, S., & Budoff, M. (2021). Where is the stent? CTA assists angiography: A case of jailed LAD. Journal of Clinical Images and Medical Case Reports, 2. ISSN 2766-7820.

  • Golub, I. S., Lakshmanan, S., Dahal, S., Kristo, S., Schroeder, L., Termeie, O., Manubolu, V., Hussein, L., Verghese, D., Shafter, A. M., Casaburi, R., Budoff, M. J., & Roy, S. K. (2022). Aortic arch calcification and novel markers of subclinical atherosclerosis on lung CT: Methodology and reproducibility in the COPDgene study. Imaging in Medicine, 14(6). ISSN 1755-5191.

  • Golub, I. S., Sheppard, J. P., Lakshmanan, S., Dahal, S., Kinninger, A., Allison, M., Barr, G., McClelland, R., Blaha, M. J., Roy, S. K., & Budoff, M. J. (2022). Coronary artery and aortic arch calcification in ungated lung CT scans as predictors of ASCVD in the Multi-Ethnic Study of Atherosclerosis: Methods and reproducibility. Journal of Coronary Artery Disease, 28(4).

  • Golub, I. S., Termeie, O. G., Kristo, S., Schroeder, L. P., Lakshmanan, S., Shafter, A. M., Hussein, L., Verghese, D., Aldana-Bitar, J., Manubolu, V. S., & Budoff, M. J. (2023). Major global coronary artery calcium guidelines. JACC: Cardiovascular Imaging, 16(1), 98–117.

  • Golub, I. S., Benzing, T., Kianoush, S., Krishnan, S., Ichikawa, K., & Budoff, M. J. (2024). Hemodynamic significance of coronary anomalies: Computed tomography-based fractional flow reserve (CT-FFR) as an adjudicator. Coronary Artery Disease, 35(5), 440–441.

  • Golub, I. S., Misic, A., Schroeder, L. P., Aldana-Bitar, J., Krishnan, S., Kianoush, S., Benzing, T., Ichikawa, K., & Budoff, M. J. (2024). Calcific coronary lesions: Management, challenges, and a comprehensive review. AIMS Medical Science, 11(3), 292–317. 1

Yuming Jiang | Computational Oncology | Best Researcher Award

Published on by CAD Awards

Assist. Prof. Dr. Yuming Jiang | Computational Oncology | Best Researcher Award

Assistant Professor | Wake Forest University School of Medicine | United States

Dr. Yuming Jiang, MD, PhD, is a physician-scientist specializing in radiation oncology, artificial intelligence in cancer care, and precision oncology. His research integrates computational modeling, digital pathology, and radiomics to improve cancer diagnosis, prognosis prediction, and treatment response assessment. He has made pioneering contributions to the development of deep learning frameworks that noninvasively characterize the tumor microenvironment, predict immunotherapy response, and forecast recurrence and survival outcomes in gastrointestinal and other cancers. His high-impact publications in journals such as Nature Communications, The Lancet Digital Health, Annals of Oncology, and Journal of Clinical Oncology have significantly advanced the field of AI-driven oncology and personalized medicine. Dr. Jiang’s work emphasizes translational applications of biology-guided deep learning models to bridge clinical imaging, pathology, and genomics, offering novel insights into tumor biology and therapeutic decision-making. Beyond research, he actively contributes to the scientific community through editorial roles in leading journals including Frontiers in Oncology, Frontiers in Immunology, and npj Precision Oncology. With 2,944 citations across 2,326 documents, 78 publications, and an h-index of 29, Dr. Jiang’s scholarly impact reflects his leadership in computational oncology, fostering cross-disciplinary innovation between artificial intelligence, cancer biology, and clinical radiology to enhance patient outcomes and accelerate the integration of AI into precision cancer management.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

1. Wang, X., Jiang, Y., Yang, S., Wang, F., Zhang, X., Wang, W., Chen, Y., Wu, X., Xiang, J., Li, Y., Jiang, X., Yuan, W., Zhang, J., Yu, K., Ward, R., Hawkins, N., Jonnagaddala, J., Li, G., & Li, R. (2025). A foundation model for predicting prognosis and adjuvant therapy benefit from digital pathology in gastrointestinal cancers. Journal of Clinical Oncology, JCO-24-01501.

2. Jiang, Y., Zhang, Z., Wang, W., Huang, W., Chen, C., Xi, S., Ahmad, M. U., Ren, Y., Sang, S., Yuan, Q., Xu, Y., Xing, L., Poultsides, G. A., Li, G., & Li, R. (2023). Biology-guided deep learning predicts prognosis and cancer immunotherapy response. Nature Communications, 14, 5135.

3. Jiang, Y., Zhou, K., Sun, Z., Wang, H., Xie, J., Zhang, T., Sang, S., Islam, M. T., Wang, J.-Y., Chen, C., Yuan, Q., Xi, S., Li, T., Xu, Y., Xiong, W., Wang, W., Li, G., & Li, R. (2023). Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics. Cell Reports Medicine, 4, 101146.

4. Jiang, Y., Zhang, Z., Yuan, Q., Wang, W., Wang, H., Li, T., Huang, W., Xie, J., Chen, C., Sun, Z., Yu, J., Xu, Y., Poultsides, G. A., Xing, L., Zhou, Z., Li, G., & Li, R. (2022). Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer using multi-task deep learning: A retrospective study. The Lancet Digital Health, 4(5), e340–e350. )

5. Jiang, Y., Li, R., & Li, G. (2023). Artificial intelligence for clinical oncology: Current status and future outlook. Science Bulletin, (23), 00113–5. R. (2023). Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning. Radiotherapy and Oncology, 186, 109793.

7. Huang, W., Jiang, Y. (co-first), Xiong, W., Sun, Z., Chen, C., Yuan, Q., Zhou, K., Han, Z., Hu, Y., Yu, J., Zhou, Z., Wang, W., Xu, Y., & Li, G. (2022). Noninvasive imaging of the tumor immune microenvironment correlates with response to immunotherapy in gastric cancer. Nature Communications, 13, 5095.

8. Jiang, Y., Liang, X., Han, Z., Wang, W., Chen, C., Xu, Y., Zhou, Z., Poultsides, G. A., Li, G., & Li, R. (2021). Radiographical assessment of tumour stroma and treatment outcomes using deep learning: A retrospective, multicohort study. The Lancet Digital Health, 3(6), e371–e382.

9. Jiang, Y., Jin, C., Yu, H., Wu, J., Chen, C., Yuan, Q., Zhou, Z., Fisher, G. A. Jr., Li, G., & Li, R. (2021). Development and validation of a deep learning CT signature to predict survival and chemotherapy benefit in gastric cancer: A multicenter, retrospective study. Annals of Surgery, 274(6), e1153–e1161.

10. Jiang, Y., Wang, H., Wu, J., Chen, C., Yuan, Q., Huang, W., Zhou, Z., Xu, Y., Li, G., & Li, R. (2020). Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer. Annals of Oncology, 31(6), 760–768.

Nagendra Verma | Life Sciences | Best Researcher Award

Published on by CAD Awards

Dr. Nagendra Verma | Life Sciences | Best Researcher Award 

Research specialist| St. Cloud State University | United States

Dr. Nagendra Verma is a highly accomplished biomedical scientist specializing in cellular and molecular biology, molecular oncology, and regenerative medicine, with over a decade of international research experience. His work focuses on the therapeutic and regulatory roles of extracellular vesicles (EVs) and microRNAs in ocular and cancer biology, particularly exploring their applications in corneal wound healing, stem cell regulation, and STAT3-dependent cancer inhibition. Dr. Verma has authored 11 research publications, cited 104 times by 95 documents, achieving an h-index of 7. His research demonstrates a strong command of molecular diagnostics, genomics, and biophysical methodologies, contributing to significant advancements in understanding disease mechanisms and developing novel therapeutic interventions. He has collaborated extensively within interdisciplinary academic and industrial environments, reflecting his ability to integrate scientific innovation with translational potential. As an active member of global scientific societies such as ARVO, RAPS, and AAMI, Dr. Verma also serves as a reviewer and editorial board member for numerous international journals, including Scientific Reports, Cells, and Molecular Vision. His contributions extend beyond research through mentoring students, presenting at international conferences, and earning recognition for excellence in scientific investigation. Dr. Verma’s work continues to bridge molecular insights with therapeutic innovation, emphasizing precision, collaboration, and impactful discovery in biomedical science.

Profiles: Scopus | Orcid

Featured Publications

  • Verma, N., Franchitto, M., Zonfrilli, A., Cialfi, S., Palermo, R., & Talora, C. (2019). DNA damage stress: Cui prodest? International Journal of Molecular Sciences, 20(5), 1073.

  • Verma, N., Khare, D., Poe, A. J., Amador, C., Ghiam, S., Fealy, A., Ebrahimi, S., Shadrokh, O., Song, X.-Y., Santiskulvong, C., et al. (2023). MicroRNA and protein cargos of human limbal epithelial cell-derived exosomes and their regulatory roles in limbal stromal cells of diabetic and non-diabetic corneas. Cells, 12.

  • Verma, N., Arora, S., Singh, A. K., & Kumar, A. (2025). Extracellular vesicle-associated miRNAs in cornea health and disease: Diagnostic potential and therapeutic implications. Targets, 3(32).

  • Verma, N., Arora, S., Singh, A. K., & Ahmed, J. (2025). Unlocking the potential of exosomes (extracellular vesicles): Drug delivery advancements and therapeutics in ocular diseases. RSC Pharmaceutics, 1(97).

  • Verma, N., & Arora, S. (2025). Navigating the global regulatory landscape for exosome-based therapeutics: Challenges, strategies, and future directions. Pharmaceutics, 17(990).

  • Arora, S., & Verma, N. (2024). Advancing organic electronics through the lens of ionic liquids and polymerized ionic liquids: A review. RSC Applied Polymers.

  • Arora, S., & Verma, N. (2024). Exosomal microRNAs as potential biomarkers and therapeutic targets in corneal diseases. Molecular Vision, 30, 92–106.

  • De Blasio, C., Verma, N., Moretti, M., Cialfi, S., Zonfrilli, A., Franchitto, M., Truglio, F., De Smaele, E., Ichijo, H., Naguro, I., Screpanti, I., & Talora, C. (2021). Functional cooperation between ASK1 and p21(Waf1/Cip1) in the balance of cell-cycle arrest, cell death, and tumorigenesis of stressed keratinocytes. Cell Death Discovery, 7(1), 75.

  • De Blasio, C., Zonfrilli, A., Franchitto, M., Mariano, G., Cialfi, S., Verma, N., Checquolo, S., Bellavia, D., Palermo, R., Benelli, D., Screpanti, I., & Talora, C. (2019). PLK1 targets NOTCH1 during DNA damage and mitotic progression. Journal of Biological Chemistry, 294(47), 17941–17950.

  • Yue, P., Zhu, Y., Brotherton-Pleiss, C., Fu, W., Verma, N., Chen, J., Nakamura, K., Chen, W., Chen, Y., Alonso-Valenteen, F., Mikhael, S., Medina-Kauwe, L., Kershaw, K. M., Celeridad, M., Pan, S., Limpert, A. S., Sheffler, D. J., Cosford, N. D. P., Shiao, S. L., & Turkson, J. (2022). Novel potent azetidine-based compounds irreversibly inhibit STAT3 activation and induce antitumor response against human breast tumor growth in vivo. Cancer Letters, 534, 215613.

 

 

 

Donald Mykles | Marine Biology | Distinguished Scientist Award

Published on by CAD Awards

Prof. Donald Mykles | Marine Biology | Distinguished Scientist Award 

Colorado State University | United States

Dr. Donald L. Mykles is a renowned biologist recognized for his pioneering research in comparative physiology, molecular biology, and developmental regulation in invertebrates. His scientific contributions have significantly advanced understanding of protein degradation mechanisms in animals and plants, particularly the roles of calcium- and ubiquitin/proteasome-dependent pathways in muscle, neuronal, and plant systems. His studies on crustacean muscle biology have elucidated biochemical distinctions between fast and slow fiber types and their adaptive transitions during development. Dr. Mykles has also made important discoveries in the hormonal regulation of molting and limb regeneration in decapod crustaceans, focusing on the signaling mechanisms controlling ecdysteroid synthesis. As a distinguished scholar and educator, he has been widely recognized for excellence in teaching, mentoring, and academic leadership, contributing extensively to graduate and honors education. His election as a Fellow of the American Association for the Advancement of Science underscores his sustained impact on biological research and education. With over 3,936 citations from 1,949 documents, 102 publications, and an h-index of 38, Dr. Mykles has demonstrated a profound and lasting influence on the fields of cell and developmental biology. Through an integrative approach combining cellular, molecular, and physiological analyses, he has deepened the scientific community’s understanding of proteolytic systems and developmental control in both animal and plant models, establishing himself as a leading figure in integrative and comparative biology.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Mykles, D. L. (1977). The ultrastructure of the posterior midgut caecum of Pachygrapsus crassipes (Decapoda, Brachyura) adapted to low salinity. Tissue and Cell, 9(4), 681–691.

  • Mykles, D. L., & Ahearn, G. A. (1978). Changes in fluid transport across the perfused midgut of the freshwater prawn, Macrobrachium rosenbergii, during the molt cycle. Comparative Biochemistry and Physiology Part A: Physiology, 61(4), 643–645.

  • Mykles, D. L. (1979). Ultrastructure of alimentary epithelia of lobsters, Homarus americanus and H. gammarus, and crab, Cancer magister. Zoomorphology, 92(3), 201–215.

  • Mykles, D. L. (1980). The mechanism of fluid absorption at ecdysis in the American lobster, Homarus americanus. Journal of Experimental Biology, 84, 89–101.

  • Holliday, C. W., Mykles, D. L., Terwilliger, R. C., & Dangott, L. J. (1980). Fluid secretion by the midgut caeca of the crab, Cancer magister. Comparative Biochemistry and Physiology Part A: Physiology, 67(2), 259–263.

  • Mykles, D. L. (1981). Ionic requirements of transepithelial potential difference and net water flux in the perfused midgut of the American lobster, Homarus americanus. Comparative Biochemistry and Physiology Part A: Physiology, 69(2), 317–320.

  • Mykles, D. L., & Skinner, D. M. (1981). Preferential loss of thin filaments during molt-induced atrophy in crab claw muscle. Journal of Ultrastructure Research, 75(3), 314–325.

  • Mykles, D. L., & Skinner, D. M. (1982). Crustacean muscles: Atrophy and regeneration during molting. In B. M. Twarog, R. J. C. Levine, & M. M. Dewey (Eds.), Basic biology of muscles: A comparative approach (pp. 337–357). Raven Press. (Society of General Physiology Series, Vol. 37).

  • Mykles, D. L., & Skinner, D. M. (1982). Molt-cycle associated changes in calcium-dependent proteinase activity that degrades actin and myosin in crustacean muscle. Developmental Biology, 92(2), 386–397.

  • Mykles, D. L., & Skinner, D. M. (1983). Ca²⁺-dependent proteolytic activity in crab claw muscle: Effects of inhibitors and specificity for myofibrillar proteins. Journal of Biological Chemistry, 258(17), 10474–10480.

Monica Carvajal-Yepes | Crop Diversity | Best Researcher Award

Published on by CAD Awards

Dr. Monica Carvajal-Yepes | Crop Diversity | Best Researcher Award

Team Leader | Alliance Bioversity International and CIAT | Colombia

Dr. Monica Carvajal-Yepes is a distinguished Colombian biologist and virologist leading innovative research at the intersection of plant health, genomics, and biodiversity conservation. As Team Leader of the Digital Genebank within the Genetic Resources Program at the Alliance Bioversity International and CIAT, her work focuses on establishing genomics-based digital platforms to enhance the conservation and utilization of global crop diversity. Her research has significantly advanced the understanding of plant virus diversity, evolution, and epidemiology, particularly in cassava and bean crops, through the application of high-throughput sequencing and bioinformatics. Dr. Carvajal-Yepes played a pivotal role in developing the global surveillance framework for early detection and response to crop disease outbreaks, published in Science, and has contributed to numerous international collaborations, including the DivSeek initiative and the OneCGIAR Plant Health Initiative. She has authored and co-authored over 20 scientific publications, which have collectively received more than 690 citations from around 600 documents, reflecting an h-index of 10. Her scientific contributions encompass high-impact studies addressing viral genomics, pathogen diagnostics, and the sustainable management of transboundary pests. Through her leadership in integrating genomics, data science, and agricultural sustainability, she continues to foster global efforts in safeguarding food security and strengthening resilience in agricultural systems.

Profile: Scopus 

Featured Publications


2025. Non-destructive prediction of nitrogen, iron and zinc content in diverse common bean seeds from a genebank using near-infrared spectroscopy. Food Chemistry: Molecular Sciences. [Open access].

2025. Implications of high throughput sequencing of plant viruses in biosecurity – a decade of progress? Peer Community Journal. [Open access].

Pouria Mazinani | Biomechanics | Young Researcher Award

Published on by CAD Awards

Dr. Pouria Mazinani | Biomechanics | Young Researcher Award

PhD | University of Catania | Iran

Dr. Pouria Mazinani is a multidisciplinary researcher and project manager whose expertise spans mechanical and civil engineering, biomechanics, and computational modeling. His research primarily focuses on biomechanics of the cornea, shell structures, and finite element simulations, with particular emphasis on shear wave elastography, corneal elasticity assessment, and parametric optimization. Dr. Mazinani has contributed significantly to the understanding of viscous fingering phenomena in porous media, advancing insights into fluid displacement and injection velocity effects within oil and gas reservoirs. His studies integrate advanced computational tools such as ABAQUS, ANSYS, COMSOL, Python, and MATLAB, bridging theoretical modeling with experimental validation. With publications in leading journals including Continuum Mechanics and Thermodynamics, Mechanics Research Communications, and Mathematics and Mechanics of Solids, his work has earned 13 citations across 13 documents and 5 documents with an h-index of 2. Beyond his research, Dr. Mazinani has demonstrated strong leadership as a project manager in the engineering industry, overseeing inspection and quality control projects and ensuring adherence to international standards. His broad technical background, combined with expertise in computational structural mechanics, quality assurance systems (ISO standards), and project management, reflects a versatile and innovative approach to engineering research and practice.

Profiles: Scopus | Google Scholar

Featured Publications

  • Zare Vamerzani, B., Zadehkabir, A., Saffari, H., Hosseinalipoor, S. M., & Mazinani, P. (2021). Experimental analysis of fluid displacement and viscous fingering instability in fractured porous medium: Effect of injection rate. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43(9).

  • Mazinani, P., Cardillo, C., & Mosaddegh, P. (2025). Evaluating corneal biomechanics using shear wave elastography and finite element modeling: Sensitivity analysis and parametric optimization. Continuum Mechanics and Thermodynamics, 37(1), 12.

  • Zadehkabir, A., Mazinani, P., Zare Vamerzani, B., Cardillo, C., & Saffari, H. (2025). Experimental study of fluid displacement and viscous fingering in fractured porous media: Effect of viscosity ratio. Continuum Mechanics and Thermodynamics, 37(2), 29.

  • Mazinani, P., Setayeshnasab, H., & Murcia Terranova, L. (2025). Evaluating corneal biomechanics using intraocular pressure methods and finite element modeling: Parameters study and parametric optimization. Zeitschrift für angewandte Mathematik und Physik, 76(6), 220.

  • Mazinani, P., & Murcia Terranova, L. (2025). Finite element simulation for finding shear wave velocity on the canine cornea and sensitivity analysis for IOP parameter. Mechanics Research Communications, 104558.

  • Mazinani, P., & Cardillo, C. (2025). Shear wave velocity and finite element modeling for understanding keratoconus biomechanics: Comparison with healthy cornea. Mathematics and Mechanics of Solids, 10812865251347512.