Cristina Maria Del Prete | Medicine and Dentistry | Women Researcher Award

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Dr. Cristina Maria Del Prete | Medicine and Dentistry | Women Researcher Award 

Rehabilitation Department Chair at Local Health Authority Italy

Dr. Cristina Maria Del Prete is a recognized professional in the field of Physical and Rehabilitation Medicine, known for her commitment to advancing innovative healthcare models, interdisciplinary rehabilitation practices, and measurable improvements in patient quality of life. She completed comprehensive medical education and specialized training in rehabilitation medicine, followed by multiple advanced executive and managerial qualifications focused on healthcare systems, organizational leadership, digital transformation, and strategic management. Her education laid a strong foundation for a career that has spanned clinical practice, healthcare administration, academic teaching, and national health policy participation. Over the years, she has held progressive leadership roles within major public healthcare structures, directing rehabilitation departments, coordinating multidisciplinary teams, and overseeing complex service networks involving hospital- and community-based rehabilitation centers. Her responsibilities have included workforce management, budget oversight, strengthening patient-care pathways, improving standards of disability support, and enhancing regional service delivery in alignment with evolving healthcare regulations. She has also actively contributed to national and regional scientific boards, steering committees, and professional societies focused on improving spasticity management, supporting patients with neurological conditions, addressing musculoskeletal pain, and advancing gender-inclusive perspectives within modern healthcare. Her research output reflects a strong blend of clinical relevance and academic rigor, focusing on post-stroke rehabilitation, botulinum toxin interventions in neuromotor disorders, gait analysis, scoliosis management, family coping mechanisms in the context of disability, and the psychological dynamics influencing care outcomes. Her published studies in international peer-reviewed journals demonstrate a dedication to evidence-based rehabilitation, resulting in 63 citations from 55 documents, 7 published scientific works, and an h-index of 4. She has also contributed extensively to academic progress through university teaching appointments across multiple medical programs, where she has trained students in foundational and advanced principles of rehabilitation medicine. International clinical training and professional development programs have further enhanced her expertise and broadened her exposure to advanced rehabilitative technologies, patient-centered methodologies, and global best practices. Throughout her career, she has remained consistently committed to improving health system performance, innovating care delivery frameworks, and conducting research that informs more efficient, equitable, and clinically effective rehabilitation services. Her professional journey reflects a continuous dedication to advancing healthcare quality, supporting both patients and practitioners, and strengthening the scientific foundations of modern rehabilitation.

Profile: Scopus | Google Scholar

Featured Publications:

Del Prete, C. M. (2025). Determinants of sibling relationships in the context of mental disorders. PLoS One.

Del Prete, C. M. (2025). Siblings of persons with disabilities: A systematic integrative review of the empirical literature. Clinical Child and Family Psychology Review.

Del Prete, C. M. (2023). Parentification, distress, and relationships with parents as factors shaping relationships in families with disability. Frontiers in Psychiatry.

Del Prete, C. M. (2022). An observational cross-sectional study of gender and disability as determinants of person-centered medicine in botulinum neurotoxin treatment of upper motoneuron syndrome. Toxins.

Del Prete, C. M. (2022). Brace treatment in adolescent idiopathic scoliosis: A rehabilitative point of view. International Journal of Environmental Research and Public Health.

Del Prete, C. M. (2021). Early botulinum toxin type A injection for post-stroke spasticity: A longitudinal cohort study. Toxins.

Del Prete, C. M. (2022). Efficacy of ultrasound-guided percutaneous lavage and biocompatible electrical neurostimulation in calcific rotator cuff tendinopathy. International Journal of Environmental Research and Public Health.

Del Prete, C. M. (2004). Conservative rehabilitative treatment of facial nerve injuries: A critical literature review. Europa Medicophysica.

Del Prete, C. M. (2002). Outcome research in adults with neurological disability. Europa Medicophysica.

Del Prete, C. M. (2001). Therapeutic water exercise in patients with hip arthroplasty. Europa Medicophysica.

Moreno Toselli | Agricultural and Biological Sciences | Best Researcher Award

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Prof. Dr. Moreno Toselli | Agricultural and Biological Sciences | Best Researcher Award 

Full professor at University of Bologna |Italy

Prof. Dr. Moreno Toselli is a leading academic figure in Agricultural and Biological Sciences, widely recognized for his extensive contributions to plant nutrition, soil fertility, and sustainable fruit production. He earned his foundational training in Agricultural Sciences followed by doctoral specialization in fruit tree mineral nutrition, laying the groundwork for a career dedicated to improving orchard systems through evidence-based agronomic strategies. Over the years, he has advanced through academic ranks to become a senior faculty member at the University of Bologna, where he has played a central role in teaching, research, and laboratory leadership across multiple horticultural disciplines. His professional experience spans decades of impactful work on nutrient uptake, stress physiology, organic amendments, biochar interactions, root dynamics, soil contamination, carbon allocation, irrigation optimization, and physiological responses of perennial fruit crops. He has coordinated and contributed to numerous regional, national, and international research projects focused on digital agriculture, circular nutrient management, sustainable fertilization, carbon sequestration, and precision horticulture, collaborating with scientific partners and industry stakeholders to translate research findings into practical applications. His expertise extends to editorial responsibilities in respected journals and active participation in professional societies, reinforcing his influence in shaping contemporary agricultural practices. With a research portfolio comprising 2,274 citations by 1,887 documents, 125 published works, and an h-index of 27, his scholarly output demonstrates sustained global impact and authority in the field. His investigations have advanced understanding of key processes such as nutrient mobility in soil–plant systems, the effects of organic and mineral fertilizers on tree performance, the mitigation of abiotic stress, and the development of innovative fertilization and monitoring tools for improving orchard efficiency. He has also contributed to training future scholars through extensive supervision of student research and active involvement in academic program development. Overall, his career reflects a commitment to scientific excellence, sustainability, and innovation, positioning him as a prominent contributor to advancing knowledge and improving management strategies in modern horticulture.

Profile: Scopus | Orcid 

Featured Publications:

1. Toselli, M. (2025). Seasonal uptake and partitioning of macro- and micronutrients in yellow-fleshed kiwifruit Actinidia chinensis var. chinensis.

2. Toselli, M. (2025). Optimization of irrigation on walnut through the IRRIFRAME water balance model. Irrigation Science.

3. Toselli, M.(2025). The use of grape pomace residues as a nutrient source in subtropical viticulture. Agronomy.

4. Toselli, M.(2025). Proposal of nutritional standards for the assessment of the nutritional status of grapevines in subtropical and temperate regions. Plants.

5. Toselli, M.(2025). Agronomic strategies to manipulate kiwifruit calcium content to understand its role in fruit physiology.

6. Toselli, M. (2025). Understanding the role of calcium in kiwifruit: Ion transport, signaling, and fruit quality.

7. Toselli, M.(2024). Assessment of contribution of cover crop littering decomposition to the N uptake of bearing and non-bearing satsuma mandarin trees.

8. Toselli, M.(2024). Cu concentration in vegetable-cultivated soil: Comparison between open fields and protected environments in Brazil.

9. Toselli, M.(2024). Carbon and nitrogen stocks in vineyard soils amended with grape pomace residues. Agronomy.

10. Toselli, M.(2024). Molecular responses to drought and waterlogging stresses of kiwifruit Actinidia chinensis var. deliciosa potted vines.

Pengfei Wei | Computer Science | Best Researcher Award

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Dr. Pengfei Wei | Computer Science | Best Researcher Award 

Senior Engineer at Guangdong University of Technology | China

Dr. Pengfei Wei is a Senior Engineer at Guangdong University of Technology, recognized for his pioneering contributions to the field of computer science, particularly in multimodal learning, knowledge tracing, edge artificial intelligence, and task-oriented dialogue systems. He holds a Ph.D. in Computer Science, where his research focused on integrating deep learning models with practical applications in intelligent education and human–machine interaction. Combining academic rigor with industrial innovation, he brings substantial experience from both enterprise research and academic development, bridging the gap between theory and real-world technology deployment. His work encompasses advanced methods such as visual-enhanced transformers for multimodal named entity recognition, genetic-inspired relation extraction, and the introduction of Kolmogorov–Arnold representations in knowledge tracing, which have improved model interpretability and performance in AI-based learning systems. In addition to his theoretical advancements, he has successfully led projects on real-time lab-safety analytics and large-scale AI deployment using Huawei Ascend, Nvidia, and TPU platforms, contributing to the broader industrial adoption of edge AI technologies. Dr. Pengfei Wei has authored numerous peer-reviewed papers in top-tier international journals and conferences, including Neural Networks, ICMR, and IJCAI, and serves as a reviewer for several prestigious publications such as Neural Networks, Pattern Recognition Letters, AAAI, and IJCNN. His collaborative initiatives with research teams and institutions have fostered multidisciplinary innovation, emphasizing the integration of AI with blockchain, big data, and education systems. A dedicated mentor and research leader, he actively supports student-led research and fosters the development of next-generation AI scholars. His professional memberships with the China Computer Federation (CCF) and the Association for Computing Machinery (ACM) reflect his strong engagement in the global computing community. Dr. Pengfei Wei’s research continues to push the boundaries of multimodal understanding and intelligent systems, driving transformative progress in computational learning and applied artificial intelligence. Through his sustained contributions, he remains committed to advancing the capabilities of intelligent technologies that enhance human productivity, knowledge discovery, and digital transformation.

Profile: Orcid | Google Scholar

Featured Publications:

  • Liao, W., B. Zeng, Yin, X., & Wei, P. (2021). An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa. Applied Intelligence, 51(6), 3522–3533.

  • Liao, W., Zeng, B., Liu, J., Wei, P., Cheng, X., & Zhang, W. (2021). Multi-level graph neural network for text sentiment analysis. Computers & Electrical Engineering, 92, 107096.

  • Liao, W., Zeng, B., Liu, J., Wei, P., & Fang, J. (2022). Image-text interaction graph neural network for image-text sentiment analysis. Applied Intelligence, 52(10), 11184–11198.

  • Liao, W., Zeng, B., Liu, J., Wei, P., & Cheng, X. (2022). Taxi demand forecasting based on the temporal multimodal information fusion graph neural network. Applied Intelligence, 52(10), 12077–12090.

  • Wei, P., Zeng, B., & Liao, W. (2022). Joint intent detection and slot filling with wheel-graph attention networks. Journal of Intelligent & Fuzzy Systems, 42(3), 2409–2420.

  • Wei, P., Ouyang, H., Hu, Q., Zeng, B., Feng, G., & Wen, Q. (2024). VEC-MNER: Hybrid transformer with visual-enhanced cross-modal multi-level interaction for multimodal NER. Proceedings of the International Conference on Multimedia Retrieval (ICMR 2024).

  • Wen, S., Zeng, B., Liao, W., Wei, P., & Pan, Z. (2021). Research and design of credit risk assessment system based on big data and machine learning. Proceedings of the IEEE 6th International Conference on Big Data Analytics (ICBDA 2021), 9–13.

laiba Sultan Dar | Time series analysis | Best Researcher Award

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Ms. laiba Sultan Dar | Time series analysis | Best Researcher Award 

Phd Student at Abdul wali khan university | Pakistan

Ms. Laiba Sultan Dar is a dedicated researcher and Ph.D. scholar at Abdul Wali Khan University, specializing in time series analysis and decomposition techniques. Her academic journey is marked by a strong foundation in applied mathematics and data analytics, enabling her to contribute effectively to statistical modeling, forecasting, and computational research. She has developed expertise in identifying patterns and trends within large datasets, applying modern analytical frameworks to address complex problems in areas such as economics, climate studies, and system optimization. Her research integrates both theoretical and empirical approaches, focusing on improving the precision and interpretability of time-dependent models. Through her doctoral studies, she has actively engaged in institutional research projects and contributed to scholarly publications in recognized international journals, including those indexed by Scopus and ScienceDirect. Her work demonstrates a balance between mathematical rigor and practical application, particularly in designing adaptive models for real-world data forecasting. In addition to her academic pursuits, Ms. Laiba Sultan Dar has shown growing involvement in research collaborations and interdisciplinary studies that bridge statistical science and technological innovation. Her ability to combine methodological sophistication with computational efficiency has made her research relevant to emerging domains such as artificial intelligence-driven data analysis and predictive modeling. She continuously enhances her research capabilities by incorporating advanced tools and techniques, fostering a deeper understanding of time series dynamics. With a citation index reflecting the recognition of her early scholarly efforts, she remains committed to producing impactful research that advances statistical methodologies and contributes to data-driven decision-making. Her intellectual curiosity and analytical acumen position her as a promising researcher in quantitative sciences. Ms. Laiba Sultan Dar’s long-term goal is to strengthen the integration of mathematical modeling with applied sciences, promoting innovation and scientific development in her field. Her commitment to excellence, collaborative mindset, and ongoing pursuit of research excellence make her a deserving candidate for recognition among emerging scholars in data analytics and statistical research.

Profile: Google Scholar

Featured Publications:

  • Dar, L., Akmal, A., Naseem, M. A., & Khan, K. U. D. (2011). Impact of stress on employees’ job performance in the business sector of Pakistan. Global Journal of Management and Business Research, 11(6), 1–4.

  • Dar, L. A., Naseem, M. A., Rehman, R. U., & Niazi, G. S. (2011). Corporate governance and firm performance: A case study of Pakistan oil and gas companies listed in Karachi Stock Exchange. Global Journal of Management and Business Research, 11(8), 1–10.

  • Malik, M., Wan, D., Dar, L., Akbar, A., & Naseem, M. A. (2014). The role of work-life balance in job satisfaction and job benefit. Journal of Applied Business Research (JABR), 30(5), 1627–1638.

  • Dar, L. S., Aamir, M., Khan, Z., Bilal, M., Boonsatit, N., & Jirawattanapanit, A. (2022). Forecasting crude oil price volatility by reconstructing EEMD components using ARIMA and FFNN models. Frontiers in Energy Research, 10, 991602.

  • Dar, L. S., Aamir, M., Bibi, S., & Bilal, M. (2025). A novel robust adaptive decomposition approach for solar energy potential using atmospheric transparency and UV radiation indicators. Journal of Radiation Research and Applied Sciences, 18(4), 101946.

  • Dar, L. S., Aamir, M., Hamraz, M., Faiz, N., Emam, W., & Tashkandy, Y. (2025). A robust adaptive signal decomposition method for enhanced mode extraction in financial time series. IEEE Access.

  • Saleem, Q., Dar, L., Shahid, M., & Rana, S. (2012). A quantitative analysis of the role of human resource development in economic growth in Pakistan. International Journal of Management Sciences and Business Research.

  • Bilal, M., Aamir, M., Abdullah, S., Mahmood, N., Khalil, U., Khalid, N., Ahmed, M., & Dar, L. (2022). Assessment of the COVID-19 pandemic’s impact on gasoline prices in Pakistan. VFAST Transactions on Mathematics, 10(2), 52–67.

Nazanin mahinparvar | Medicine | Best Researcher Award

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Nazanin mahinparvar | Medicine | Best Researcher Award

Postdoc at Stanford university, United States.

Dr. Nazanin Mahinparvar is a postdoctoral scholar at Stanford University, focusing on bioengineering and pain management. She brings a blend of medical and research expertise to her work, aiming to develop innovative gene therapies that offer non-addictive, effective treatments for chronic pain. Her research in synthetic biology, combined with her clinical background as an emergency medicine physician, underscores her commitment to translating laboratory discoveries into practical healthcare solutions. Throughout her career, she has received numerous accolades for her dedication to patient care and research excellence, including the Best Physician Award during the COVID-19 pandemic. Her approach to research is driven by a patient-centered perspective, making her work both scientifically rigorous and highly relevant to addressing current health challenges. Dr. Mahinparvar’s focus on developing HSV-based biotechnologies has the potential to reshape pain management therapies, positioning her as a significant contributor to advancements in medical science.

Profile👤

Scopus

Education 🎓

Dr. Nazanin Mahinparvar’s educational journey is marked by excellence and a clear dedication to advancing medical knowledge. She began her studies in Biology at SAMPAD in Iran, followed by an MD at Isfahan Medical University, where she was recognized with high honors. Her medical education included an emphasis on pain management, an area she explored further during her mandatory medical service program. Her commitment to lifelong learning and research brought her to Stanford University for a prestigious postdoctoral position in bioengineering. Dr. Mahinparvar’s educational background integrates both foundational medical training and specialized knowledge in synthetic biology and gene therapy. Her academic journey has been marked by a strong interdisciplinary focus, with formal training that spans basic sciences, clinical practice, and cutting-edge bioengineering. This diverse educational foundation provides her with a unique perspective, enabling her to bridge the gap between laboratory research and patient-centered clinical applications.

Experience💼

Dr. Nazanin Mahinparvar has extensive experience in both clinical and research settings, blending hands-on patient care with innovative scientific research. Her early career as a physician involved managing healthcare in underserved areas, where she was honored with the Best Doctor Award for her exceptional patient care. Following this, she served as an emergency medicine physician, honing her ability to operate under pressure. During her postdoctoral work at Stanford, she focused on developing non-toxic HSV-based therapies for chronic pain and neurological disorders. Her clinical experience in pain management, coupled with her research in gene therapy and synthetic biology, has positioned her as a leader in innovative medical research. Dr. Mahinparvar’s experience is a blend of practical and scientific expertise, which she continually refines through collaboration with top scientists and participation in clinical trials. Her background uniquely equips her to drive impactful advancements in pain management and gene-based therapies.

Research Interests 🔬

Dr. Mahinparvar’s research interests focus on engineering advanced, safe, and efficient gene therapies for chronic pain and neurological disorders. She specializes in developing non-addictive pain management treatments using synthetic biology and gene engineering, with a particular interest in non-toxic HSV-based technologies. Dr. Mahinparvar’s work aims to address global health challenges by providing affordable, accessible solutions for conditions that currently lack effective, low-risk treatments. At Stanford’s Wu Tsai Neurosciences Institute, her research delves into combining gene therapy with bioengineering to create precise, targeted interventions. Her early research on selenium’s effects on respiratory functions in ICU patients sparked her interest in translational medicine, which she has expanded to chronic pain and neuro-oncology applications. Dr. Mahinparvar’s research is ultimately driven by her commitment to improving patient outcomes and advancing the field of pain management through innovative, cross-disciplinary approaches that bridge the laboratory and the clinic.

Awards and Honors 🏆

Throughout her career, Dr. Mahinparvar has earned multiple awards recognizing her excellence in both research and clinical practice. In 2021, she received the Best Physician Award for her dedication to patient care during the COVID-19 pandemic, reflecting her commitment to providing quality healthcare under challenging conditions. She was also honored with the Foundation of Future Medical Research Fellowship at the Kheradmand Institute, which brought her to Stanford for advanced research in head and neck surgery and gene therapy. Other accolades include her high-honors MD dissertation award and the Best Student Award from Iran’s SAMPAD organization for exceptional talent. These recognitions highlight Dr. Mahinparvar’s leadership, resilience, and contribution to medicine. Her awards underscore her determination to push the boundaries of traditional pain management, making her a strong candidate for future honors in the fields of bioengineering and clinical research.

Conclusion 🔚 

Dr. Mahinparvar’s academic and clinical achievements, including her innovative work in chronic pain management, place her among the most promising candidates for the Best Researcher Award. Her interdisciplinary research, combined with her commitment to patient care and clinical applications, demonstrates her potential to make lasting contributions to medical science and public health. This award would provide well-deserved recognition and support to advance her impactful research on a global scale.

Publications Top Notes 📚

Title: Oxytocin Receptors on Calvarial Periosteal Innervation: Therapeutic Target for Post-Traumatic Headache?
Authors: Bharadwaj, V.N., Klukinov, M., Cowan, R.P., Mahinparvar, N., Clark, D.J., Yeomans, D.C.
Year: 2024
Journal: Pharmaceutics, 16(6), 760
Citation Count: 0

Title: Chemopreventive and therapeutic potential of curcumin in esophageal cancer: Current and future status
Authors: Hesari, A., Azizian, M., Sheikhi, A., Nesaei, A., Sanaei, S., Mahinparvar, N., Derakhshani, M., Hedayt, P., Ghasemi, F., Mirzaei, H.
Year: 2019
Journal: International Journal of Cancer, 144(6), pp. 1215–1226
Citation Count: 103

Title: Cyclophosphamide versus rituximab in progressive forms of multiple sclerosis
Authors: Etemadifar, M., Ghourchian, S., Mahinparvar, N., Sanaei, S., Akbari, M.
Year: 2019
Journal: Acta Medica Iranica, 57(8), pp. 484–491
Citation Count: 2

Title: Comparison of the efficacy of midazolam and dexmedetomidine in quality of sedation in mechanically-ventilated patients admitted to intensive care unit
Authors: Kashefi, P., Mahinparvar, N., Khalifsoltani-Khajooie, M., Mansouri, P., Sanaei, S.
Year: 2018
Journal: Journal of Isfahan Medical School, 35(460), pp. 1799–1805
Citation Count: 1

Title: The effect of selenium on maximum inspiratory pressure in patients under mechanical ventilation in intensive care units
Authors: Alikiaii, B., Mahinparvar, N.
Year: 2017
Journal: Journal of Isfahan Medical School, 35(423), pp. 291–296
Citation Count: 1