ROBERTA PARADISO | Biology and Life Sciences | Best Researcher Award

ROBERTA PARADISO | Biology and Life Sciences | Best Researcher Award

Prof ROBERTA PARADISO, University of Naples Federico II, Italy

🌱 Prof. Roberta Paradiso is an Associate Professor of Horticulture at the University of Naples Federico II (Italy) 🌍. With a PhD in Herbaceous Crops (2002) 🎓, her research spans eco-physiology of crops, sustainable horticulture, and innovative greenhouse technologies, including LED lighting 💡 and soilless cultivation. Prof. Paradiso has extensive expertise in Bioregenerative Life-Support Systems (BLSSs) for space 🌌, collaborating with ESA and ASI. She has co-led multiple international projects, authored impactful publications 📚, and mentors students globally 👩‍🏫. Her work bridges terrestrial agriculture and space exploration 🚀, driving sustainability and innovation.

Publication Profile

Scopus

Education

Prof. Roberta Paradiso is an accomplished Associate Professor with a passion for academic excellence 🌱📚. Her teaching focuses on plant production and greenhouse horticulture 🌿🏡, showcasing her dedication to advancing agricultural knowledge and sustainable practices 🌍✨. With a strong commitment to fostering student growth and innovation, she integrates cutting-edge research into her lectures and inspires future leaders in the field 🧑‍🔬🌟. Her expertise contributes significantly to the development of sustainable agricultural solutions, emphasizing the importance of environmentally friendly techniques 🌾♻️. Prof. Paradiso’s work reflects her dedication to bridging the gap between theory and practical applications in horticulture 🌷📖.

Experience

Prof. Roberta Paradiso is an Associate Professor of Horticulture at the University of Naples Federico II (Italy) since 2018. She teaches courses on Plant Production for the Food Industry and Greenhouse Horticulture 🌱🏡. Her research focuses on the eco-physiology of vegetable and flower crops, soilless cultures, sustainable horticulture, and advanced greenhouse technologies 💡🌿. She specializes in artificial lighting with LEDs, photosynthesis modeling, and cultivation in controlled environments for Bioregenerative Life-Support Systems (BLSSs) in space 🚀. Collaborating with ESA’s MELiSSA project, she co-created the Laboratory of Crop Research for Space and the Plant Characterization Unit, advancing space horticulture 🌍🌌.

Research Projects

Prof. Roberta Paradiso is a distinguished researcher leading innovative projects in agriculture and space botany. As PI of the PRIN 2022 PNRR project “Smart-Light” 🌱💡, she advances artificial light efficiency in controlled agriculture. She managed WP1400 in ASI’s MICROx2 🌍🚀, defining light parameters for microgravity plant growth. Her contributions include eco-compatible cultivation in Campania (ECOVIV) 🌾🌿, ESA’s PaCMan project on life support systems 🛰️🌱, and biostimulant evaluation in soilless crops 🌷. Notable projects span photosynthesis in flowers, space farming (Tom-Rad 🍅🛸), and sustainable ornamental plant production 🌺🌳, showcasing her expertise in eco-friendly, high-tech agriculture.

Research Focus

Prof. Roberta Paradiso’s research focuses on sustainable agriculture 🌱, plant physiology 🌿, and innovative cultivation strategies. Her studies explore optimizing crop growth and quality in controlled environments, including smart greenhouses and space farming 🚀. Key projects include nutrient dynamics in compost-amended Mars regolith simulants 🪐, the sustainable reuse of organic by-products as natural fertilizers ♻️, and the effects of LED irradiation on postharvest produce quality 💡. Additionally, she examines metabolic and antioxidant profiles in crops like potatoes 🥔, cherry tomatoes 🍅, and citrus fruits 🍊. Her work aims to enhance food production sustainability while addressing global agricultural challenges. 🌍

Publication Top Notes

Assessment of Fertility Dynamics and Nutritional Quality of Potato Tubers in a Compost-Amended Mars Regolith Simulant

Integrating Smart Greenhouse Cover, Reduced Nitrogen Dose and Biostimulant Application as a Strategy for Sustainable Cultivation of Cherry Tomato

Sustainable Reuse of Expresso Coffee By-products as a Natural Fertilizer to Improve Growth and Photosynthesis in Cucumber (Cucumis sativus L.) Plants

Space farming: supporting human life beyond earth

Metabolic Profiling in Tuberous Roots of Ranunculus asiaticus L. as Influenced by Vernalization Procedure

Photosynthesis, Yield and Quality in Wild Rocket (Diplotaxis tenuifolia L.) under Photoluminescent Greenhouse Covers

Modulation of Antioxidant Compounds in Fruits of Citrus reticulata Blanco Using Postharvest LED Irradiation

Interaction between bulb cold treatment and plant genotype regarding flowering and metabolism in cut flower tulip

 

 

Álvaro Torres-Martos | Biology and Life Sciences | Best Researcher Award

Álvaro Torres-Martos | Biology and Life Sciences | Best Researcher Award

Mr Álvaro Torres-Martos, University of Granada, Spain

Based on the impressive research experience and academic achievements of Mr. Álvaro Torres-Martos, he appears to be a strong candidate for the Best Researcher Award.

Publication profile

google scholar

Research Experience

Mr. Torres-Martos has been deeply involved in cutting-edge research projects. His work as a Bioinformatic Researcher on the ACTIBATE project, focused on exploring therapeutic targets through exercise and brown adipose tissue activation, demonstrates his expertise in bioinformatics. His role as a Pre-doctoral Researcher on the EXOMAIR project, which aims to use explicable artificial intelligence for precision medicine, further highlights his research excellence and potential impact in the field of metabolic health.

Academic Background

With a Bachelor’s degree in Biochemistry and a Master’s in Bioinformatics and Biostatistics, Mr. Torres-Martos has a solid foundation in the sciences, further strengthened by his ongoing pre-doctoral studies and faculty position in Biochemistry and Molecular Biology at the University of Granada. His academic progression reflects a commitment to interdisciplinary research, particularly in bioinformatics and precision medicine.

Research Publications

Mr. Torres-Martos has contributed to high-impact journals, with publications that showcase his expertise in multi-omics, machine learning, and their applications in childhood obesity and insulin resistance. His research has been recognized in well-regarded journals like Artificial Intelligence in Medicine and Translational Psychiatry, with his work cited by other scholars, indicating the relevance and influence of his studies in the scientific community.

Other Achievements

Mr. Torres-Martos’s achievements extend beyond publications. His victory in the III Bioinformatics Datathon and the development of the ObMetrics app highlight his practical contributions to the field. Additionally, his active participation in national and international conferences and completion of specialized courses in data science and bioinformatics demonstrate his dedication to continuous learning and knowledge dissemination.

Conclusion

In conclusion, Mr. Álvaro Torres-Martos has established himself as a highly skilled researcher with a significant impact on the fields of bioinformatics, precision medicine, and metabolic health. His academic background, research experience, and substantial contributions to high-impact journals make him a deserving candidate for the Best Researcher Award. His ongoing commitment to advancing knowledge in bioinformatics and his innovative approaches to addressing complex health issues position him as a leading researcher with a promising future.

Publication top notes

Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism

Omics data preprocessing for machine learning: A case study in childhood obesity

Body mass index interacts with a genetic-risk score for depression increasing the risk of the disease in high-susceptibility individuals

Human multi-omics data pre-processing for predictive purposes using machine learning: a case study in childhood obesity

Integrative analysis of blood cells DNA methylation, transcriptomics and genomics identifies novel epigenetic regulatory mechanisms of insulin resistance during puberty in …

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

Leveraging Machine Learning and Genetic Risk Scores for the Prediction of Metabolic Syndrome in Children with Obesity

An Unhealthy Dietary Pattern-Related Metabolic Signature Is Associated with Cardiometabolic and Mortality Outcomes: A Prospective Analysis of the UK Biobank Cohort

Big Data and Machine Learning as Tools for the Biomedical Field

Epigenetic Alterations in the Estrogen Receptor Accompany the Development of Obesity-Associated Insulin Resistance during Sexual Maturation