Paula Abola | Pharmacology | Editorial Board Member

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Mrs. Paula Abola | Pharmacology | Editorial Board Member

PhD Student and Professor | University of Jamestown | Germany

Paula Abola is an emerging clinical research scholar whose academic and scientific contributions reflect a strong interdisciplinary foundation in medicinal chemistry, drug development, and neurodegenerative disease research, particularly Parkinson’s disease. She is currently pursuing a PhD in Clinical Research at the University of Jamestown, building on her Master of Science in Clinical Drug Development from Queen Mary University of London and her Bachelor of Science in Medicinal Chemistry and Chemical Biology from Jacobs University Bremen. Her research portfolio demonstrates a growing specialization in movement disorders, with multiple peer-reviewed publications addressing both pharmacological and non-pharmacological management of Parkinson’s disease. Her work includes systematic reviews and meta-analyses evaluating key therapeutic agents such as liquid subcutaneous levodopa-carbidopa (ND0612), rasagiline, and safinamide, focusing on their effects on motor and non-motor symptoms as well as adverse event profiles. Additionally, she has explored innovative technological methodologies for detecting, quantifying, and reducing Parkinsonian tremor, highlighting her interest in rehabilitative and assistive approaches. Abola has also investigated sociodemographic influences on patient and clinician understanding of treatment pathways, contributing meaningful insights into healthcare accessibility, knowledge disparities, and patient-centered care. Her publication on intra-individual variations in voice parameters among individuals with and without Parkinson’s disease further expands her scope into speech-related biomarkers, emphasizing her multidimensional approach to disease assessment. Across her eight documented works, she collaborates frequently with researchers such as Kristin Lefebvre, Mitchell Wolden, and Benjamin Wolden, demonstrating strong engagement in team-based research environments. Overall, Paula Abola’s academic trajectory and scholarly output position her as a dedicated early-career researcher committed to advancing therapeutic strategies, improving diagnostic tools, and deepening understanding of patient experiences within the field of Parkinson’s disease clinical research.

Profile: ORCID

Featured Publications

  1. Abola, P., Lefebvre, K., & Wolden, M. (2025). Influence of sociodemographic variables on patient and practitioner knowledge of pharmacological management options for Parkinson’s disease. American Journal of Medical and Clinical Research & Reviews, 2025.

  2. Abola, P., Lefebvre, K. (2025). Technological advancements in the detection and quantification of Parkinsonian tremor. Topics in Geriatric Rehabilitation, July 2025.

  3. Abola, P., Wolden, M. (2025). Intra-individual variations in voice variables among individuals with and without Parkinson’s disease. Cureus, March 29, 2025.

  4. Abola, P., Wolden, M., & Lefebvre, K. (2024). Liquid subcutaneous levodopa-carbidopa ND0612 effects on motor symptoms in individuals with Parkinson’s disease: A systematic review and meta-analysis. Advances in Parkinson’s Disease, 2024.

  5. Abola, P., Wolden, M. (2024). Monoamine oxidase-B inhibitor rasagiline effects on motor and non-motor symptoms in individuals with Parkinson’s disease: A systematic review and meta-analysis. Advances in Parkinson’s Disease, 2024.

Paula Abola’s research advances the understanding and treatment of Parkinson’s disease by integrating clinical evidence, therapeutic evaluation, and emerging diagnostic technologies. Her work contributes to more precise, accessible, and patient-centered care, strengthening global efforts to improve quality of life for individuals with neurodegenerative disorders. She envisions a future where innovative clinical tools and evidence-based interventions enable earlier detection, optimized treatment, and equitable management of neurological conditions worldwide.

Manuel Gimenez | Innovation | Best Innovator Award

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Dr. Manuel Gimenez | Innovation | Best Innovator Award 

Chief Innovation Strategy Officer | Ayesa | Spain

Dr. Manuel Giménez Medina is eminently suitable for the Best Innovator Award based on the exceptional breadth, depth, and real-world impact of his career at the intersection of technology, research, and industry-led innovation. With over two decades of sustained leadership in innovation strategy, technology transfer, and applied research, he has consistently transformed advanced scientific knowledge into scalable digital solutions with measurable economic and social value. As Chief Innovation Strategy Officer at Ayesa and former Innovation Director at Emergya Group, he has led multinational innovation ecosystems, managed high-impact R&D portfolios exceeding tens of millions of euros, and coordinated complex international projects across artificial intelligence, smart cities, cybersecurity, digital agriculture, blockchain, and industrial IoT. His academic excellence is evidenced by a PhD in Software Engineering and Technology with cum laude distinction, Q1 publications in Expert Systems with Applications, and recognized scientific awards for best research articles, demonstrating both thought leadership and methodological rigor. What strongly enhances his candidacy is his rare ability to bridge academia, industry, and public administration through open innovation frameworks, enabling effective knowledge transfer, commercialization, and capacity building. As coordinator and principal investigator of multiple national and European projects such as AgrarIA, D-Rural, AI4Dev, and TIMBERTRACK, he has delivered innovations that directly support sustainability, digital transformation, and regional development. His advisory roles in strategic innovation committees and his trusteeship at a major ICT research foundation further validate his influence on innovation policy and ecosystem development. In education, mentoring, and doctoral supervision, he contributes to nurturing the next generation of innovators. Overall, his combination of scientific excellence, industrial impact, leadership credibility, funding success, and sustained societal contribution clearly positions him as a highly deserving candidate for the Best Innovator Award.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

Giménez Medina, M., González Enríquez, J., & Domínguez Mayo, F. J. (2023). The innovation challenge in Spain: A Delphi study. Expert Systems with Applications, 230, 120611.

Giménez Medina, M., González Enríquez, J., & Domínguez Mayo, F. J. (2023). A systematic review of capability and maturity innovation assessment models: Opportunities and challenges. Expert Systems with Applications, 213, 118968.

González Enríquez, J., Giménez Medina, M., & Domínguez Mayo, F. J. (2023). A systematic review of capability and maturity innovation assessment models: SMS. In Proceedings of the XXVII Jornadas de Ingeniería y Bases de Datos (JISBD), Spain.

Giménez Medina, M., González Enríquez, J., & Domínguez Mayo, F. J. (2020). Towards an agile innovation capability maturity framework to enhance investments on ICT organizations. In Proceedings of the 32nd International Conference on Advanced Information Systems Engineering (CAiSE), Spain.

 

Dr. Manuel Giménez Medina’s work drives global innovation by transforming advanced research in artificial intelligence and digital systems into high-impact, real-world solutions for smart cities, cybersecurity, and sustainable agriculture. By bridging academia, industry, and public institutions, his leadership strengthens technology transfer, accelerates digital transformation, and delivers measurable social and economic value at regional, national, and international levels.

Rongyan Xi | Engineering | Best Researcher Award

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Dr. Rongyan Xi | Engineering | Best Researcher Award 

Doctor | China Mobile Research Institute | China

Rongyan Xi is an accomplished researcher in the field of communication and electronic engineering with a strong academic background and impactful scientific contributions, making her a highly suitable candidate for the Best Researcher Award. She obtained her B.S. degree in Communication Engineering from Shandong University in 2017 and completed her Ph.D. in Electronic Engineering from Tsinghua University in 2023, one of China’s most prestigious institutions. Currently, she is affiliated with the Future Research Lab at China Mobile Research Institute, where she focuses on cutting-edge areas such as 6G, integrated sensing and communication (ISAC), MIMO, advanced signal processing, target detection, positioning, and system design. Her research work demonstrates both depth and practical relevance to the next generation of wireless technologies. Rongyan Xi has contributed to several high-impact publications in leading journals including the IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Sensors Journal, and Sensors. Her works cover critical topics like cooperative sensing for 6G networks, system design, beam management, target recognition using millimeter-wave sensing, and performance evaluation frameworks such as SensCAP. Her active role in collaborative research projects and contributions to addressing key challenges in ISAC and radar technology reflect her innovative mindset and technical leadership. With publications in top-tier journals and involvement in field trials, she has established herself as a rising leader in the wireless communication research community. Her academic excellence, technological innovation, and industry relevance collectively demonstrate her exceptional potential and make her an outstanding candidate for the Best Researcher Award.

Profiles: Google Scholar | ORCID

Featured Publications

  1. Liu, G., Xi, R., Wang, X., Han, L., Gui, X., Jin, J., Dong, J., Wei, N., He, H., Xia, L., et al. (2025). Cooperative sensing for ISAC: Challenges, system design, beam management, and performance validation. IEEE Journal on Selected Areas in Communications.

  2. He, X., Ding, H., Xi, R., Dong, J., Jin, J., Wang, Q., Shao, C., Dong, X., & Zhang, Y. (2025, September 12). Target recognition based on millimeter-wave-sensed point cloud using PointNet++ model. Sensors.

  3. Liu, G., Xi, R., Han, Z., Han, L., Zhang, X., Ma, L., Wang, Y., Lou, M., Jin, J., Wang, Q., et al. (2024). Cooperative sensing for 6G mobile cellular networks: Feasibility, performance and field trial. IEEE Journal on Selected Areas in Communications.

  4. Liu, G., Ma, L., Xue, Y., Han, L., Xi, R., Han, Z., Wang, H., Dong, J., Lou, M., Jin, J., et al. (2024). SensCAP: A systematic sensing capability performance metric for 6G ISAC. IEEE Internet of Things Journal.

  5. Xi, R., Ma, D., Liu, X., Wang, L., & Liu, Y. (2022, October). Intra-pulse frequency coding design for a high-resolution radar against smart noise jamming. Remote Sensing.