Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

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Prof. Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

King Faisal University | Saudi Arabia

Dr. Mona Abdelbaset Sadek Ali is an Associate Professor of Computer Science specializing in artificial intelligence, machine learning, and image processing. She earned her PhD in Computer Science (Wireless Computer Communications) from Cardiff University, UK, after completing an MSc in Information Technology (Image Processing) and a BSc in Information Technology with honors from Cairo University. With extensive academic experience spanning the UK, Saudi Arabia, and Egypt, her research integrates deep learning, optimization techniques, computer vision, IoT, mobile security, and intelligent healthcare systems. Dr. Ali has authored over 30 peer-reviewed research articles published in high-impact Web of Science-indexed journals and conferences, achieving an h-index of approximately 17, with more than 871 citations and 29 research documents. Her work frequently appears in Q1 and Q2 journals such as Mathematics, Electronics, Sustainability, PLOS ONE, and Applied Sciences. She has led and co-led numerous funded research projects supported by national and institutional bodies and has supervised multiple postgraduate MSc and PhD researchers. Her academic excellence has been recognized through competitive research funding and research poster awards. Overall, Dr. Ali’s career reflects sustained contributions to applied artificial intelligence and data-driven solutions with strong interdisciplinary and societal impact.

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Featured Publications


Tomato leaves diseases detection approach based on support vector machines

11th International Computer Engineering Conference (ICENCO), 246–250, 2015 · Citations: 222


Identifying two of tomatoes leaf viruses using support vector machine

Information Systems Design and Intelligent Applications, 2015 · Citations: 145


Detection of breast abnormalities of thermograms based on a new segmentation method

Federated Conference on Computer Science and Information Systems, 2015 · Citations: 78


Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm

IEEE Engineering in Medicine and Biology Conference, 2015 · Citations: 76


A hybrid segmentation approach based on neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma

11th International Computer Engineering Conference (ICENCO), 2015 · Citations: 70

Kevin Clark | Neuroscience | Research Excellence Award

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Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

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Dr. Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

Federal University of Technology, Akure | Nigeria

Adetayo Folorunso is an established scholar in applied geophysics and environmental geosciences with a strong record of scientific contributions to groundwater, marine, and exploration geophysics.  Academic training and professional experience span geophysics, earth sciences, and applied geoscience, with extensive involvement in teaching, postgraduate supervision, and collaborative research across Nigerian and international institutions. Research work integrates electrical resistivity tomography (ERT), marine geophysics, hydrogeophysics, seismic interpretation, and environmental geophysics, addressing critical challenges such as saline water intrusion, groundwater vulnerability, subsurface contamination, and reservoir characterization. Contributions include high-impact journal articles, interdisciplinary studies combining geophysical and geochemical methods, and methodological advances in finite-element and CSEM modeling. Recognition includes scholarly visibility, sustained citation performance, and leadership in collaborative geoscience research. Overall, the body of work demonstrates a strong commitment to advancing applied geosciences through data-driven analysis, field-based investigations, and solutions relevant to environmental sustainability, resource exploration, and geotechnical risk assessment.

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Integrated Geophysical and Geochemical Methods for Environmental Assessment of Municipal Dumpsite System

International Journal of Geosciences, 4(5), 850–862, 2013 · Citations: 59


Engineering Site Characterisation Using 2-D and 3-D Electrical Resistivity Tomography

Earth Science Research, 2(1), 133–142, 2013 · Citations: 41

Amir Hossein akbari | Engineering and Technology | Research Excellence Award

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Dr. Amir Hossein akbari | Engineering and Technology | Research Excellence Award

Iran University of Science and Technology | Iran

Amir Hosein Akbari is an accomplished researcher in industrial engineering with a strong record of scholarly impact his academic background is grounded in advanced industrial engineering education, complemented by progressive research experience spanning optimization, decision sciences, and intelligent systems. His professional experience includes active involvement in high-quality research collaborations and contributions to applied and theoretical studies addressing complex industrial and societal problems. His core research interests focus on supply chain management, optimization, meta-heuristic and evolutionary algorithms, scheduling, decision support systems, and artificial intelligence–driven industrial applications, with several influential works in expert systems, soft computing, and manufacturing systems. His publications have appeared in high-impact venues such as Expert Systems with Applications, Soft Computing, and Neural Computing and Applications, reflecting both methodological rigor and practical relevance. Recognition of his work is demonstrated through strong citation performance and collaborations with well-established scholars in operations research and industrial engineering. Overall, his research portfolio highlights a consistent commitment to advancing intelligent optimization methods and decision-making frameworks, contributing valuable insights to academia and industry while strengthening the scientific foundations of modern industrial engineering.

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Ho-jun Song | Computer Science and Artificial Intelligence | Research Excellence Award

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Mr. Ho-jun Song | Computer Science and Artificial Intelligence | Research Excellence Award

Postech | South Korea

Ho-jun Song is a dedicated researcher and Ph.D. candidate in Computer Science and Engineering, specializing in federated learning, edge intelligence, and AIoT systems. With an academic foundation grounded in advanced distributed learning, he has contributed to developing personalized, scalable, and diffusion-based FL frameworks tailored for heterogeneous and resource-constrained environments. He has gained extensive experience through work on edge AI architectures, large-scale experimental pipelines, and applied AI systems for surveillance, security, and military decision support. Professionally, he leads AI initiatives as the Head of AI Development at the Army Artificial Intelligence Center, overseeing deepfake detection, ontology-based LLM systems, and intelligent multi-sensor surveillance solutions. His research interests span federated learning, personalized models, diffusion-based FL, distributed deep learning, and AIoT innovation. His academic journey includes rigorous research under expert mentorship and collaborations with interdisciplinary teams. Although early in his career, he has already contributed impactful ideas such as multidimensional trajectory optimization for FL personalization. He aspires to advance secure, efficient, and adaptive AI systems while contributing to global AI research communities through innovative, mission-driven research.

Profile : Orcid

Featured Publications

Song, H.-J., & Suh, Y.-J. (2025). HyFLM: A hypernetwork-based federated learning with multidimensional trajectory optimization on diffusion paths. Electronics, 14, Article 4704.

Sanjay Kumar Bhardwaj | Biology and Life Sciences | Research Excellence Award

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Prof. Sanjay Kumar Bhardwaj | Biology and Life Sciences | Research Excellence Award

CCS University | India

Professor Sanjay Kumar Bhardwaj is a distinguished zoologist with over 35 years of research experience, recognized for his pioneering work in photoperiodism, seasonal breeding, light color, and intensity effects in birds. Currently serving as a Professor of Zoology, he has contributed extensively to avian chronobiology and environmental physiology, with 89 research papers, multiple book articles, and proceedings. He has supervised numerous M.Phil. scholars and Ph.D. researchers, led more than 10 major research projects, and secured substantial funding from DBT, SERB, UGC, CSIR, DST, and State Government of U.P. His international exposure includes prestigious INSA Exchange Fellowships, and he has represented India at major global conferences such as the International Ornithological Congress and International Chronobiology meetings. Recognized with honors like the FAEB Fellowship, Research Excellence Award, Rashtriya Gaurav Award, and Lifetime Achievement Award, he has also organized major scientific symposia and workshops at national and international levels. His research continues to advance understanding of avian physiology, biological rhythms, cognition under light pollution, and environmental influences on animal biology.

Profile : Google Scholar

Featured Publications

Gupta, B. K., Sarkar, U. K., Bhardwaj, S. K., & Pal, A. (2011). Condition factor, length–weight and length–length relationships of an endangered fish Ompok pabda (Hamilton 1822) (Siluriformes: Siluridae) from the River Gomti. Journal of Applied Ichthyology, 27(3), 962–964.

Batra, T., Malik, I., Prabhat, A., Bhardwaj, S. K., & Kumar, V. (2020). Sleep in unnatural times: Illuminated night negatively affects sleep and associated hypothalamic gene expressions in diurnal zebra finches. Proceedings of the Royal Society B, 287(1928), 20192952.

Mishra, I., Bhardwaj, S. K., Malik, S., & Kumar, V. (2017). Concurrent hypothalamic gene expression under acute and chronic long days: Implications for initiation and maintenance of photoperiodic response in migratory songbirds. Molecular and Cellular Endocrinology, 439, 81–94.

Gupta, B. K., Sarkar, U. K., & Bhardwaj, S. K. (2012). Assessment of habitat quality with relation to fish assemblages in an impacted river of the Ganges basin, northern India. The Environmentalist, 32(1), 35–47.

Kumar, J., Malik, S., Bhardwaj, S. K., & Rani, S. (n.d.). Bright light at night alters the perception of daylength in Indian weaver bird (Ploceus philippinus). Journal of Experimental Zoology Part A: Ecological and Integrative… (details incomplete—please share year, volume, pages for full APA format).

Farid Barati | Agricultural Science and Innovation | Best Researcher Award

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Assoc. Prof. Dr. Farid Barati | Agricultural Science and Innovation | Best Researcher Award

Shahrekord University | Iran

Dr. Farid Barati (D.V.M, DVSc) is a distinguished Associate Professor in the Department of Clinical Science at Shahrekord University, Iran, specializing in Theriogenology and reproductive physiology. He earned his Doctor of Veterinary Medicine (D.V.M) and Doctor of Veterinary Science (DVSc) degrees, advancing his expertise in reproductive health, artificial insemination, and embryology. Over the years, he has served as a faculty member and research supervisor, contributing to numerous national and international projects. His research primarily focuses on reproductive endocrinology, assisted reproductive technologies, ovarian function, and the improvement of livestock fertility. Recognized for his scholarly excellence, Dr. Barati has received various institutional awards and honors for his research contributions and mentorship. His publications in reputed journals demonstrate his commitment to advancing veterinary reproductive medicine and animal health. Through his academic leadership and innovative studies, Dr. Barati continues to inspire future veterinarians and researchers, fostering scientific growth and sustainable livestock development worldwide.

Profile : Google Scholar

Featured Publications

Rasooli, A., Jalali, M. T., Nouri, M., Mohammadian, B., & Barati, F. (2010). Effects of chronic heat stress on testicular structures, serum testosterone and cortisol concentrations in developing lambs. Animal Reproduction Science, 117(1–2), 55–59.

Barati, F., Niasari-Naslaji, A., Bolourchi, M., Sarhaddi, F., Razavi, K., Naghzali, E., & Davachi, N. D. (2006). Superovulatory response of Sistani cattle to three different doses of FSH during winter and summer. Theriogenology, 66(5), 1149–1155.

Abbasi, Z., Tabatabaei, S. R. F., Mazaheri, Y., Barati, F., & Morovvati, H. (2013). Effects of sesame oil on the reproductive parameters of diabetes mellitus-induced male rats. The World Journal of Men’s Health, 31(2), 141–147.

Barati, F., Agung, B., Wongsrikeao, P., Taniguchi, M., Nagai, T., & Otoi, T. (2008). Meiotic competence and DNA damage of porcine oocytes exposed to an elevated temperature. Theriogenology, 69(6), 767–772.

Zakian, A., Nouri, M., Barati, F., Kahroba, H., Jolodar, A., & Rashidi, F. (2014). Vertical transmission of Theileria lestoquardi in sheep. Veterinary Parasitology, 203(3–4), 322–325.

Patricia Fernandes | Biology and Life Sciences | Best Researcher Award

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Prof. Dr. Patricia Fernandes | Biology and Life Sciences | Best Researcher Award

Federal University of Rio de Janeiro | Brazil

Patricia Dias Fernandes is a distinguished Full Professor at the Federal University of Rio de Janeiro, Brazil, recognized for her pioneering contributions to pharmacology and inflammation research.  she has established herself as a leading figure in experimental pharmacology. Her academic background and research career focus on preclinical models of chronic inflammatory diseases, including Crohn’s disease, endometriosis, cancer, and SARS-CoV-2-induced pneumonia. She leads several multidisciplinary projects exploring novel diagnostic markers and therapeutic agents through integrative biochemical and omics approaches. Prof. Fernandes has registered multiple patents on innovative antiviral compounds, highlighting her translational impact from laboratory to clinical relevance. As an Associate Editor of the Journal of Ethnopharmacology, she actively promotes scientific excellence and innovation in drug discovery. Her collaborations with prominent researchers worldwide, including Pierre Sirois, Fabio Boylan, and Claudio Viegas, strengthen her global scientific network. Recipient of numerous national and institutional recognitions, Prof. Fernandes continues to advance the field of pharmacology by searching for new bioactive and synthetic compounds to treat chronic inflammatory diseases, shaping the next generation of therapeutic strategies.

Profile : Orcid

Featured Publications

Franco, G. D. R. R., Gontijo, V. S., Viegas, F. P. D., Silva, M. D. F., Ortiz, C. J. C., Damásio, C. M., Silva, I. M. F., Campos, T. G., Reis, E. V. S., Clarindo, F. A., et al. (2025). Novel multifunctional cannabidiol-based analogues with in silico, in vitro, and in vivo anti-SARS-CoV-2 effect. Pharmaceuticals, 18(10), 1565.

Moraes, R. S. M., Botelho, A. B. M., Pinto, G. T. A., Rodrigues, S. C., Martins, M. T. M., Soares, D. L. A., Cruz, C. C., Pinto, A. D. A., Dias, F. R. F., Fernandes, P. D., et al. (2025). Chemistry, applications, and synthesis methods of indole derivatives: A comprehensive review. The Chemical Record. Advance online publication.

Guerra, F. S., Freitas, R. H. C. N., Moldovan, F., Rocha, D. R. D., Carvalho, R. S., & Fernandes, P. D. (2025). Design, synthesis, and bioactivity assessment of modified vemurafenib analog. Pharmaceuticals, 18(8), 1161.

de Souza, M. L., de Paiva, J. P. B., Franco, G. D. R. R., Gontijo, V. S., Alves, M. A., de Souza, H. M. R., Lontra, A. C. P., de Oliveira, E. A., Giorno, T. B. S., Guedes, I. A., et al. (2025). Design, synthesis, and evaluation of antinociceptive properties of novel CBD-based terpene-cinnamoyl-acyl-hydrazone analogues. Pharmaceuticals, 18(5), 755.

França, P. R. C., de Paiva, J. P. B., de Carvalho, R. R., Figueiredo, C. P., Sirois, P., & Fernandes, P. D. (2024). R-954, a bradykinin B1 receptor antagonist, as a potential therapy in a preclinical endometriosis model. Peptides, 171, 171294.