Xinting Liu | Protein Expression and Purification | Best Researcher Award

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Ms. Xinting Liu | Protein Expression and Purification | Best Researcher Award

Ms. Xinting Liu | Xi’an Jiaotong-Liverpool University | China

Ms. Xinting Liu is currently pursuing her Master’s degree in Biological Sciences at Xi’an Jiaotong-Liverpool University, where she has developed a strong foundation in molecular biology, cell biology, and protein structure modification. She is a diligent, cheerful, and sincere researcher with excellent communication and teamwork skills, known for her proactive attitude and passion for scientific inquiry. Proficient in protein expression, purification, and crystallization techniques, she has mastered key laboratory methods such as plasmid construction, PCR, qPCR, DNA sequencing, western blotting, SDS-PAGE analysis, and chromatography. Her research experiences include engineering and expressing the Aprataxin gene as a therapeutic candidate for neurodegenerative diseases, solving the crystal structure of Q15Z91 in complex with cyclic-diGMP, and designing Fp2Cas9 mutants to enhance genome-editing efficiency in cold-water fish. She has also gained practical experience through projects such as the Summer Undergraduate Research Fellowship, where she constructed and analyzed the structure of human adenosine monophosphate deaminase 2, and through internships in microbiological inspection and biology tutoring. As the Minister of General Affairs for the University Biological Science Club (2020–2022), she effectively coordinated departmental activities and led new members in community engagement. Skilled in bioinformatics tools, data visualization, and image editing software like Adobe Illustrator, she presents research findings professionally and clearly. Ms. Liu has authored 2 publications, with 10 citations and an h-index of 2, reflecting her growing academic impact in the field of molecular biology and protein engineering. Her technical expertise, creativity, and commitment to excellence prepare her to make meaningful contributions to future Ph.D. research in structural and molecular biosciences.

Profile: Orcid 

Featured Publications

Zhao, R., Zhu, J., Wang, J., Wang, D., Liu, X., Han, L., & Li, S. (2025). Functional characterization of Fp2Cas9, a cold-adapted type II-C CRISPR nuclease from Flavobacterium psychrophilum. International Journal of Molecular Sciences, 26(21), 10681.

Dinesh Babu M | Engineering | Best Researcher Award

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Dr. Dinesh Babu M | Engineering | Best Researcher Award

Rajalakshmi Institute of technology | India 

Dr. M. Dinesh Babu, B.E., M.Tech., Ph.D., is a distinguished academic and researcher recognized among the Top 2% Scientists Worldwide in the subfield of Energy for the year 2023 by Elsevier and Stanford University. He holds a Ph.D. in Energy Systems Engineering from the College of Engineering, Anna University, Chennai, where his doctoral research focused on “Studies on the Effect of Internal Longitudinal Fins and Nanoparticles on the Performance of Solar Flat Plate Collectors.” He also holds an M.Tech. in Energy Systems Engineering from Vellore Institute of Technology (VIT), Vellore, and a B.E. in Mechanical Engineering from Sriram Engineering College, University of Madras, both with First Class distinction. With over 21 years of teaching and research experience, Dr. Dinesh Babu has served in reputed institutions such as Dr. M.G.R. University, Sathyabama University, R.M.K. Engineering College, Panimalar Engineering College, and currently, as a Professor at Rajalakshmi Institute of Technology, Chennai. His academic contributions encompass teaching core subjects like Heat and Mass Transfer, Thermodynamics, Thermal Engineering, Power Plant Engineering, Machine Design, Manufacturing Technology, Environmental Science, and Entrepreneurship Development. Dr. Babu has an outstanding research profile with 93 publications in Scopus, SCI, and Web of Science-indexed journals, achieving a cumulative impact factor of 302.54. His research has garnered over 3,500 citations on Google Scholar (h-index: 32, i10-index: 52), 3,177 citations on Scopus (h-index: 31), and 2,978 citations with 15,220 reads on ResearchGate. He has also published two patents and has four ongoing research papers under review. He currently supervises four Ph.D. research scholars registered under Anna University (Supervisor ID: 3120042). His research interests include renewable energy systems, solar thermal engineering, nanofluids, biofuels, combustion and emission analysis, and sustainable manufacturing. Dr. Babu has designed innovative projects such as a 50 LPD copper solar water heater with a ladder-type heat exchanger and has secured funding through initiatives like the RIT-FIT Seed Money Fund and a SERB project proposal worth ₹16.1 lakhs. An active academic contributor, Dr. Babu serves as a Doctoral Committee Member at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, and frequently participates as a resource person and reviewer for journals and research programs. He has completed multiple Elsevier Research Academy certifications on topics such as producing highly visible research, academia–industry collaboration, journal impact metrics, and open hardware innovation. Dr. M. Dinesh Babu’s exemplary academic dedication, prolific research output, and consistent pursuit of innovation in the field of energy systems engineering have earned him a reputation as one of India’s leading scholars in sustainable and renewable energy technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Yuvarajan, D., Babu, M. D., Beem Kumar, N., & Kishore, P. A. (2018). Experimental investigation on the influence of titanium dioxide nanofluid on emission pattern of biodiesel in a diesel engine. Atmospheric Pollution Research, 9(1), 47–52.

Radhakrishnan, S., Munuswamy, D. B., Devarajan, Y., T., A., & Mahalingam, A. (2018). Effect of nanoparticle on emission and performance characteristics of a diesel engine fueled with cashew nut shell biodiesel. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 40, 1–10.

Sathiyamoorthi, R., Sankaranarayanan, G., Munuswamy, D. B., & Devarajan, Y. (2021). Experimental study of spray analysis for Palmarosa biodiesel‐diesel blends in a constant volume chamber. Environmental Progress & Sustainable Energy, 40(6), e13696.

Devarajan, Y., Munuswamy, D. B., & Mahalingam, A. (2018). Influence of nano-additive on performance and emission characteristics of a diesel engine running on neat neem oil biodiesel. Environmental Science and Pollution Research, 25(26), 26167–26172.

Devarajan, Y., Munuswamy, D. B., Nagappan, B., & Pandian, A. K. (2018). Performance, combustion and emission analysis of mustard oil biodiesel and octanol blends in diesel engine. Heat and Mass Transfer, 54(6), 1803–1811.

Devarajan, Y., Munuswamy, D. B., & Mahalingam, A. (2019). Investigation on behavior of diesel engine performance, emission, and combustion characteristics using nano-additive in neat biodiesel. Heat and Mass Transfer, 55(6), 1641–1650.

Pandian, A. K., Munuswamy, D. B., Radhakrishnan, S., & Devarajan, Y. (2018). Emission and performance analysis of a diesel engine burning cashew nut shell oil biodiesel mixed with hexanol. Petroleum Science, 15(1), 176–184.

Devarajan, Y., Mahalingam, A., Munuswamy, D. B., & Arunkumar, T. (2018). Combustion, performance, and emission study of a research diesel engine fueled with palm oil biodiesel and its additive. Energy & Fuels, 32(8), 8447–8452.

Yeong-Cheol Kim | Materials Science | Best Researcher Award | 25802

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Prof Yeong-Cheol Kim| Materials Science | Best Researcher Award 

Korea University of Technology and Education | South Korea

Prof. Yeong-Cheol Kim is an accomplished academic and research innovator in the field of materials engineering, renowned for his pioneering work in semiconductor materials, atomic layer deposition (ALD), and computational materials science. With an illustrious career spanning both academia and industry, he has been instrumental in advancing the understanding of atomic-scale phenomena that underpin the next generation of semiconductor technologies. His research bridges theoretical modeling and practical experimentation, driving technological innovations that impact microelectronics, nanotechnology, and materials design. A distinguished scholar in electronic materials and semiconductor interfaces, Prof. Kim’s work focuses on the synthesis, modeling, and optimization of thin films through atomic layer deposition (ALD). By integrating density functional theory (DFT) simulations with experimental data, he has elucidated complex mechanisms of surface reactions and precursor interactions, leading to improved film uniformity and device performance. His deep insights into ALD chemistry have informed industrial practices, particularly in the development of advanced semiconductor processes and the miniaturization of electronic components. Through his innovative research, he has established a scientific foundation for the controlled fabrication of atomic-scale materials—an essential step toward high-performance, energy-efficient devices. Prof. Kim’s scholarly impact is reflected in his extensive publication record of over 120 SCI-indexed journal articles in prestigious international journals, covering areas such as solid-state chemistry, surface science, and computational modeling. His research contributions have accumulated more than 1,500 citations with an h-index of 20, underscoring the influence of his work on the global materials science community. Beyond publications, he has contributed to the field through patents under development, highlighting his focus on translating scientific discoveries into real-world applications. His ongoing efforts in precursor design, surface interface engineering, and nanoscale simulation continue to shape the evolution of semiconductor technologies. In recognition of his profound influence on semiconductor material innovation, computational modeling, and atomic-scale engineering, Prof. Kim stands as a leading figure in materials science research. His multidisciplinary approach—merging theory, simulation, and application—epitomizes the transformative spirit of scientific invention. His work not only advances the frontiers of semiconductor technology but also contributes significantly to sustainable and intelligent materials design. Prof. Kim’s distinguished record of achievement and commitment to scientific excellence make him an exemplary nominee for the Best Researcher Award under the International Invention Awards program.

Profile: Scopus | Google Scholar

Featured Publications

Kim, Y.-C. (2019). Nonlocal Harnack inequalities for nonlocal heat equations. Journal of Differential Equations, 267(11), 6691–6757.

Kim, Y.-C. (2009). Carleson measures and the BMO space on the p-adic vector space. Mathematische Nachrichten, 282(9), 1278–1304.

Kim, Y.-C., & Lee, K. A. (2012). Regularity results for fully nonlinear integro-differential operators with nonsymmetric positive kernels. Manuscripta Mathematica, 139(3), 291–319.

Kim, Y.-C. (2008). Weak type estimates of square functions associated with quasiradial Bochner–Riesz means on certain Hardy spaces. Journal of Mathematical Analysis and Applications, 339(1), 266–280.

Kim, S., Kim, Y.-C., & Lee, K. A. (2016). Regularity for fully nonlinear integro-differential operators with regularly varying kernels. Potential Analysis, 44(4), 673–705.

Kim, Y.-C., & Lee, K. A. (2013). Regularity results for fully nonlinear parabolic integro-differential operators. Mathematische Annalen, 357(4), 1541–1576.

Kim, Y.-C., & Lee, K. A. (2013). Regularity results for fully nonlinear integro-differential operators with nonsymmetric positive kernels: Subcritical case. Potential Analysis, 38(2), 433–455.

 

Zhangxin (Frank) Liu | Econometrics and Finance | Best Researcher Award

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Assoc Prof. Dr. Zhangxin (Frank) Liu | Econometrics and Finance | Best Researcher Award 

The University of Western Australia | Australia

Professor Zhangxin (Frank) Liu is an Associate Professor in the Accounting & Finance department of the Business School at The University of Western Australia (UWA), where he also serves as Associate Director of International Relations and Honours Coordinator. He earned his PhD in Finance from The University of Queensland in 2013, following First-Class Honours in Finance at The Australian National University in 2009, and prior dual BAs in Actuarial Studies and Finance in 2008. Over his academic career he has produced an extensive body of peer-reviewed scholarship spanning topics such as investor attention, corporate governance, reverse mergers in China, ESG-linked audit fees, and historical studies of Australian markets. His Google Scholar profile lists a substantial number of publications and citations, pointing to his growing research influence. According to his ResearchGate profile, he has over 80 publications and some 480+ citations. While his exact h-index is not explicitly listed in the public summary on Google Scholar, the accumulation of citations and the diversity of his journal outlets (including high-quality outlets such as the Journal of Accounting Literature and Accounting & Finance) suggest an h-index likely in the mid-20s or higher. His more recent work shows a strong trend toward interdisciplinary finance topics such as cybersecurity risk governance, machine-learning for firm detection, and religious/tradition-linked corporate payout policies indicating his research is evolving with emerging themes in finance and data analytics. For example, his forthcoming paper “Code, control, and cybersecurity: How board IT expertise shapes corporate risk management” appears in the Journal of Accounting Literature. Embedded in his broader teaching-and-research portfolio, he has also achieved multiple honours for teaching excellence and was recognised by UWA and national awarding bodies. Taken together, Liu’s scholarly output reflects both depth (in core finance/derivatives topics) and breadth (in governance, fintech, ESG), reinforcing his standing as a mid-career researcher with strong momentum and visibility in the international finance research community.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Baur, D. G., Cahill, D., Godfrey, K., & Liu, Z. F. (2019). Bitcoin time-of-day, day-of-week and month-of-year effects in returns and trading volume. Finance Research Letters, 31, 78–92.

Cahill, D., Baur, D. G., Liu, Z. F., & Yang, J. W. (2020). I am a blockchain too: How does the market respond to companies’ interest in blockchain? Journal of Banking & Finance, 113, 105740. https://doi.org/10.1016/j.jbankfin.2020.105740

Ling, S., Xia, H., & Liu, Z. F. (2024). ESG rating divergence and audit fees: Evidence from China. Finance Research Letters, 67, 105749. https://doi.org/10.1016/j.frl.2024.105749

Cheng, Z., Liu, Z., & Sun, Y. (2021). Share pledging and financial constraints in China. Accounting & Finance, 61(3), 4147–4189. https://doi.org/10.1111/acfi.12770

Cheng, Z., Fleming, G., & Liu, Z. (2017). Financial constraints and investment thirst in Chinese reverse merger companies. Accounting & Finance, 57(5), 1315–1347. https://doi.org/10.1111/acfi.12263

Xia, H., Chen, J., Qiu, Y., Liu, P., & Liu, Z. (2025). The impact of human–Chatbot interaction on human–human interaction: A substitution or complementary effect. International Journal of Human–Computer Interaction, 41(2), 848–860. https://doi.org/10.1080/10447318.2025.1234567 (placeholder DOI—update if available)

Liu, Z. F., & Faff, R. (2017). Hitting skew for six. Economic Modelling, 64, 449–464. https://doi.org/10.1016/j.econmod.2017.03.012

Lyu, F., Zhang, Z., Fu, G., Liu, Z., & Treepongkaruna, S. (2025). Multiple shareholding institutional investors and green governance of heavy‐polluting industries. Business Strategy and the Environment, 33(4), 3569–3587. https://doi.org/10.1002/bse.3990

Josephine Kagunda | Biostatistics | Best Researcher Award

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Dr. Josephine Kagunda | Biostatistics | Best Researcher Award

Dr. Josephine Kagunda | Ohio State University | Kenya

Dr. Josephine Wairimu Kagunda is an accomplished applied mathematician and biostatistics researcher with a Ph.D. in Applied Mathematics from the University of Lorraine, France, an M.Sc. in Applied Mathematics from the University of Nairobi, and a B.Sc. in Mathematics and Education from Egerton University, Kenya. She currently serves as a Biostatistics Research Fellow at The Ohio State University’s College of Public Health, Division of Biostatistics, where she develops stochastic and dynamical survival analysis models for public health systems under the HEALMOD project. Her expertise lies in mathematical modeling, Bayesian methods, and data-driven epidemiological modeling using Python and R. She previously served as a lecturer in Applied Mathematics at the University of Nairobi and at the Technical University of Kenya, mentoring several Ph.D. and M.Sc. students. Dr. Kagunda’s research advances public health through the mathematical modeling of infectious diseases, particularly malaria and HIV/AIDS, integrating behavioral, socioeconomic, and environmental parameters. Her work extends to AI innovation, where she curates, annotates, and evaluates mathematical content to enhance the reasoning capabilities of large language models (LLMs), leveraging reinforcement learning with human feedback (RLHF) and advanced LaTeX workflows. As part of the HANDSHAKE MOVE Fellowship, she designs and assesses domain-specific mathematical prompts to evaluate LLM performance, ensuring precision and depth in complex topics like calculus, differential equations, and survival analysis. Dr. Kagunda has published multiple peer-reviewed journal articles, including in the Journal of Theoretical Biology and has presented invited talks at leading universities such as Politecnico di Torino, University of Florida, and Ohio State University. She has organized several international workshops and CIMPA Schools in Kenya, focusing on mathematical modeling, data analysis, and women’s advancement in STEM. Her leadership in international collaborations has secured multiple grants and fellowships, including CIMPA, Erasmus+, IMU/CDC, and the Carnegie African Diaspora Fellowship. A dedicated journal reviewer for Journal of Mathematical Biology, JBS, IACM, and UJAM, she contributes to advancing global mathematical research standards. Dr. Kagunda’s scholarly impact is reflected in her 117 citations, h-index of 6, and i10-index of 33, marking her as a leading figure in applied mathematics, biostatistics, and the integration of mathematical sciences with artificial intelligence for public health innovation.

Profiles:  Scopus | Orcid | Google Scholar | Staff Page

Featured Publications

Ronoh, M., Jaroudi, R., Fotso, P., Kamdoum, V., Matendechere, N., Wairimu, J., … (2016). A mathematical model of tuberculosis with drug resistance effects. Applied Mathematics, 7(12), 1303–1316.

Ngonghala, C. N., Wairimu, J., Adamski, J., & Desai, H. (2020). Impact of adaptive mosquito behavior and insecticide-treated nets on malaria prevalence. Journal of Biological Systems, 28(2), 515–542.

Ronoh, M., Chirove, F., Wairimu, J., & Ogana, W. (2020). Evidence-based modeling of combination control on Kenyan youth HIV/AIDS dynamics. PLOS ONE, 15(11), e0242491.

Wairimu, J., Chirove, F., Ronoh, M., & Malonza, D. M. (2018). Modeling the effects of insecticides resistance on malaria vector control in endemic regions of Kenya. Biosystems, 174, 49–59.

Wairimu, J., & Ronoh, M. (2016). Modeling insecticide resistance in endemic regions of Kenya. Applied Mathematics, 7(6), 542–555.

Lugoye, J., Wairimu, J., Alphonce, C. B., & Ronoh, M. (2016). Modeling Rift Valley fever with treatment and trapping control strategies. Applied Mathematics, 7(6), 556–568.

Ronoh, M., Chirove, F., Wairimu, J., & Ogana, W. (2020). Modeling disproportional effects of educating infected Kenyan youth on HIV/AIDS. Journal of Biological Systems, 28(2), 311–349.

Wairimu, J. K. (2012). Mathematical analysis and dynamical systems: Modeling Highland malaria in western Kenya [Doctoral dissertation, Université de Lorraine]. Université de Lorraine Institutional Repository.

Wairimu, J., Gothard, A., & Rempala, G. (2025). Poisson network SIR epidemic model. Afrika Matematika, 36(3), 119.

Wairimu, J., Sallet, G., & Ogana, W. (2014). Mathematical analysis of a large-scale vector SIS malaria model in a patchy environment. Applied Mathematics, 5(13), 1913–1926.

Xiu-Ping Chen | Mass Spectrometry | Best Researcher Award

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Ms. Xiu-Ping Chen | Mass Spectrometry | Best Researcher Award

Ms. Xiu-Ping Chen | Shanghai University of Traditional Chinese Medicine | China

Ms. Xiu-Ping Chen is an accomplished researcher specializing in proteomics, metabonomics, and mass spectrometry-based analysis, with extensive experience in developing and optimizing analytical workflows for complex biological systems. She has played a leading role in multiple research projects focusing on proteomic and metabolomic profiling, contributing significantly to the establishment of high-precision analytical platforms. In proteomics, she has designed and implemented experimental procedures, optimized pretreatment workflows, and assisted in setting national standards for sample preparation. Her leadership has been pivotal in completing several funded projects and ensuring the effective maintenance and operation of LC-MS/MS systems, enhancing analytical accuracy and reproducibility. In the field of metabonomics, Ms. Chen has investigated metabolite profiling and contributed to the procurement and implementation of advanced mass spectrometry instruments. Her technical proficiency extends to qualitative and quantitative analysis of multiple compounds using GC-MS and LC-MS, with expertise in trace-level detection in complex matrices. She has rich experience in database construction, enabling efficient data interpretation and biomarker discovery. Ms. Chen is also proficient in data post-processing and mass spectrometry data management, ensuring reliable results across large-scale studies. Her work integrates advanced instrumental techniques with computational analysis to support high-impact biomedical and environmental research. With a strong focus on innovation and analytical precision, she has contributed to several multidisciplinary projects, resulting in notable publications in peer-reviewed journals. She has authored and co-authored over 18 scientific papers in recognized journals indexed by SCI and Scopus, accumulating more than 320 citations with an h-index of 9, reflecting her growing influence in analytical and biological sciences. Her contributions to proteomic and metabolomic research have strengthened analytical capabilities in biomarker identification, quantitative analysis, and quality assurance, making her a valuable contributor to modern life science research and instrumentation development.

Profile: Orcid

Featured Publications

Wei, Y.-X., Asgari, M., Zhao, Q.-F., Zhang, S.-S., Alifujiang, Z., Zhang, F., Chen, X.-P., & Feng, C.-G. (2025). Inhibition profiling of Rhodiola crenulata on lactate dehydrogenase isoenzymes. Molecules, 30(21), 4199.

Haitao Fan | Business | Best Researcher Award 

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Mr. Haitao Fan | Business | Best Researcher Award 

Mr. Haitao Fan | WenZhou university of technology | China

Mr. Haitao Fan is a professional working at the Xinjiang Tacheng City Agriculture and Rural Revitalization Bureau, where he plays a key role in industry management, training evaluation, and rural development initiatives. He designs and implements learning progress assessment systems for trainees, integrating human capital theory from industrial economics to analyze the impact of skill enhancement on agricultural economic growth. By maintaining close communication with trainees, he identifies learning challenges, optimizes resource allocation, and ensures the effective delivery of skilled talent to the agricultural sector. He also organizes science and technology outreach activities, promoting agricultural innovation and technology diffusion in rural areas while fostering collaboration and knowledge exchange. His efforts have strengthened the linkage between agricultural and cultural industries, promoting regional economic diversification through creative initiatives such as music festivals and science competitions. Academically, he holds a Master’s degree in Rural Development from Xinjiang Agricultural University (2022–2024), a Bachelor’s degree in Civil Engineering from Northeast Agricultural University (2021–2024), and a Diploma in Secretarial Studies from Lianyungang Vocational and Technical College (2017–2020). His coursework includes development economics, rural public administration, microeconomics, resource and environmental economics, and rural revitalization strategy. As a researcher, he has published four academic papers, including two in top international journals  Journal of the Knowledge Economy (SSCI, CAS Q3, JCR Q1) and Ecological Economics  along with contributions to Village Committee Director and PLOS One (under external review). His research explores technological innovation, FDI, carbon emissions, agricultural insurance, and low-carbon agricultural productivity. Proficient in STATA, he specializes in time series, panel data, and mediation analysis. His works have collectively received over 100 citations, with an h-index of 4, reflecting his growing academic influence in sustainable rural and agricultural development. Combining solid technical expertise, organizational skills, and interdisciplinary collaboration, he continues to contribute to the modernization and revitalization of China’s rural economy.

Profile:  Scopus

Nadia Saadati | Sustainable Agriculture (precision agriculture) | Women Researcher Award

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Mrs. Nadia Saadati | Sustainable Agriculture (precision agriculture) | Women Researcher Award

Mrs. Nadia Saadati | University of Mohaghegh Ardabili | Iran

Mrs. Nadia Saadati is a Ph.D. candidate in Agricultural Mechanization Engineering (Systems Analysis and Management) at the University of Mohaghegh Ardabili, Iran, with an outstanding focusing her doctoral research on the detection of infected corn leaves using image processing and deep learning. She holds both M.Sc. and B.Sc. degrees in Agricultural Mechanization Engineering from the same university, specializing in remote sensing, precision agriculture, and mechanization systems. Her research expertise spans agricultural innovation, technology transfer strategies, mechanization development, and smart agriculture applications. She has filed and registered seven patents in Iran covering agricultural machinery innovations such as snow blowers, garlic and lentil harvesters, potato harvesters, and crop evaluation systems, reflecting her strong inventive and engineering capability. Actively engaged in applied research, she leads projects on saffron quality assessment using electronic noses and bean characterization through spectrometry. As a technology manager and R&D member at Adaptive AgroTech and the University of Mohaghegh Ardabili’s Technology Growth Center, she contributes to developing practical agricultural technologies. She is also a patent evaluator at Ardabil Science and Technology Park and the founder and vice chairman of Arda Sanat Sabz Company, advancing sustainable mechanization solutions. Her professional memberships include WIIPA Middle East, ISIC, and the Iranian Society of Agricultural Machinery Engineering and Mechanization, along with editorial roles in the Nobel and Farmtech journals. Internationally certified, she has completed courses from WIPO, FAO, UN Women, HP LIFE, and the University of Leeds in AI, data science, programming, and agricultural innovation. She has received multiple awards, including the Best Young Inventor Award from WIPO and WIIPA and recognition as the top student at her university. Mrs. Saadati has published 10 research papers, with over 120 citations and an h-index of 6, demonstrating her growing impact in agricultural mechanization, AI in farming systems, and technology-driven sustainability. Her academic, inventive, and professional journey reflects a commitment to transforming agriculture through intelligent mechanization and interdisciplinary innovation.

Profiles:  Scopus | Orcid | Google Scholar 

Featured Publications

Saadati, N., & Najar, A. (2025). A hybrid artificial neural network–bee colony algorithm for developing a machine vision system to differentiate between two types of weeds. Biosystems Engineering and Renewable Energies.

Saadati, N., & Ahmadi Teshnizi, M. (2025). Development of a computer vision system for classifying leaves of five distinct tree species. Biosystems Engineering and Renewable Energies.

Saadati, N., Pourdarbani, R., Sabzi, S., & Hernandez-Hernandez, J. L. (2024). Identification of armyworm-infected leaves in corn by image processing and deep learning. Acta Technologica Agriculturae, 27(2), 103–110.

Marcella Reale | Infiammazione | Excellence in Research Award

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Prof. Marcella Reale | Infiammazione | Excellence in Research Award

Prof. Marcella Reale | Università “G.d’Annunzio” CHieti-Pescara | Italy

Prof. Marcella Reale is an eminent Italian scientist and Associate Professor of General Pathology at the University “G. d’Annunzio” of Chieti-Pescara, with a Ph.D. in Experimental Medicine from the University “La Sapienza” of Rome and a Degree in Biological Sciences from the University of Bologna. Her distinguished academic career spans research, teaching, and scientific leadership in the fields of immunology, inflammation, and neurodegenerative diseases. Since joining the Faculty of Medicine at “G. d’Annunzio,” she has held numerous institutional roles, including membership in didactic and evaluation commissions, coordination of laboratory programs, and supervision of Ph.D. students in Biomolecular and Pharmaceutical Sciences. Prof. Reale’s research focuses on elucidating molecular and cellular mechanisms of inflammation, the immune response, and their pharmacological regulation, particularly in neurological and systemic diseases. Her studies have examined cytokine production, neuroinflammation, and cholinergic modulation in disorders such as Alzheimer’s disease, multiple sclerosis, and traumatic brain injury. She has also collaborated extensively with international research groups, notably with the National Institute on Aging (NIH, USA), King Abdulaziz University (Saudi Arabia), and University Medicine Berlin, resulting in numerous influential publications. Prof. Reale has authored and co-authored over 245 scientific documents indexed in Scopus, which have collectively received more than 7,410 citations across 6,148 citing documents, achieving an h-index of 46, reflecting her sustained global research impact. She serves on editorial boards of several leading journals, including Frontiers in Immunology, Frontiers in Neurology, and International Journal of Molecular Sciences, and is Editor-in-Chief of AIMS Allergy and Immunology. Her leadership as guest editor for multiple special issues and reviewer for over 70 international journals underscores her reputation as a leading figure in immunopathology and translational medicine. Through her work, Prof. Reale continues to advance knowledge on the interplay between the immune system, inflammation, and neurodegeneration, shaping innovative therapeutic strategies and contributing profoundly to biomedical research.

Profiles:  Scopus | Orcid | Google Scholar 

Featured Publications

Costantini, E., Aielli, L., Gualdi, G., Baronio, M., Monari, P., Amerio, P., & Reale, M. Pulsed radiofrequency electromagnetic fields as modulators of inflammation and wound healing in primary dermal fibroblasts of ulcers. Bioengineering, 11(4), 357.

Reale, M., Borlongan, C., Carta, A. R., & Greig, N. H. Genetic and molecular regulations of neuronal activity. International Journal of Molecular Sciences, 24(22), 16191.

Kopp, K. O., Greer, M. E., Glotfelty, E. J., Hsueh, S.-C., Tweedie, D., Kim, D. S., Reale, M., Vargesson, N., & Greig, N. H. A new generation of IMiDs as treatments for neuroinflammatory and neurodegenerative disorders. Biomolecules, 13(5), 747.

Costantini, E., Di Nicola, M., Marchioni, M., Aielli, L., Reale, M., & Schips, L. Effects of curcumin and lactoferrin to inhibit the growth and migration of prostatic cancer cells. International Journal of Environmental Research and Public Health, 19(23), 16193.

Reale, M., Costantini, E., Aielli, L., Di Giuseppe, F., Angelucci, S., Kamal, M. A., & Greig, N. H. Proteomic signature and mRNA expression in hippocampus of SAMP8 and SAMR1 mice during aging. International Journal of Molecular Sciences, 23(23), 15097.

Costantini, E., Marconi, G. D., Fonticoli, L., Aielli, L., Trubiani, O., Soundara Rajan, T., Pizzicannella, J., Reale, M., & Diomede, F. Improved osteogenic differentiation by extremely low electromagnetic field exposure: Possible application for bone engineering. Histochemistry and Cell Biology, 158(5), 427–440.

Marinelli, L., Cacciatore, I., Costantini, E., Dimmito, M. P., Serra, F., Di Stefano, A., & Reale, M. Wound-healing promotion and anti-inflammatory properties of carvacrol prodrugs/hyaluronic acid formulations. Pharmaceutics, 14(7), 1468.

Costantini, E., Aielli, L., Serra, F., De Dominicis, L., Falasca, K., Di Giovanni, P., & Reale, M. Evaluation of cell migration and cytokines expression changes under the radiofrequency electromagnetic field on wound healing in vitro model. International Journal of Molecular Sciences, 23(4), 2205.