Oleksandr Shapoval | Neuroimaging | Research Excellence Award

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Dr. Oleksandr Shapoval | Neuroimaging | Research Excellence Award

Dr. Oleksandr Shapoval | Institute of Macromolecular Chemistry, Czech Academy of Sciences | Czech Republic

Dr. Oleksandr Shapoval, Ph.D., is a dedicated scientific researcher at the Institute of Macromolecular Chemistry, Academy of Sciences of the Czech Republic in Prague, where he contributes to advanced developments in multimodal nanomarkers for complex microbial systems. His work centers on the synthesis, characterization, and functionalization of luminescent and magnetic nanoparticles, along with the design of functional colloids and nanosystems that serve as versatile multimodal imaging probes capable of immobilizing low-molecular-weight bioactive compounds and optimizing nanoparticle compatibility across diverse environments. He holds a Ph.D. in Chemistry with specialization in macromolecular compounds, complemented by degrees in administrative and financial management, as well as extensive training in chemical technology, fuel, and carbon materials. Over his career, Dr. Shapoval has established a strong academic presence, reflected in 136 citations, 17 published documents, and an h-index of 8, demonstrating the impact and quality of his scientific contributions. His multidisciplinary background and sustained research productivity position him as a valuable contributor to the field of nanosystems engineering, bridging chemistry, materials science, and bio-nanotechnology in ways that advance both theoretical understanding and practical application.

Profiles: Scopus | Orcid

Featured Publications

Vasylyshyn, T., Patsula, V., Větvička, D., Shapoval, O., Pankrác, J., Kabešová, M., Beneš, J., & Horák, D. (2025). Intraperitoneal versus intravenous administration of Flamma®-conjugated PEG-alendronate-coated upconversion nanoparticles in a mouse pancreatic cancer model. Nanoscale Advances.

Nahorniak, M., Horák, D., Šlouf, M., Steinhart, M., Shapoval, O., Engstová, H., & Ježek, P. (2025). Lanthanide-based UCNPs: Toxicity evaluation and interaction of ultrasmall core vs. core–shell nanoparticles with cells. Materials Advances.

Vasylyshyn, T., Huntošová, V., Patsula, V., Olejárová, S., Slabý, C., Jurašeková, Z., Bánó, G., Kubacková, J., Šlouf, M., Shapoval, O., et al. (2025). Surface-engineered core–shell upconversion nanoparticles for effective hypericin delivery and multimodal imaging. Nanoscale.

Shapoval, O., Patsula, V., Větvička, D., Šlouf, M., Kabešová, M., Vasylyshyn, T., Svobodová, L. M., Konefal, M., Kočková, O., Pankrác, J., et al. (2025). Theranostic verteporfin-conjugated upconversion nanoparticles for cancer treatment. Nanomaterials, 15(22), 1690.

Shapoval, O., Engstová, H., Šlouf, M., Kočková, O., Dlasková, A., Jabůrek, M., Halili, A., Mozheitová, A., Jirák, D., Ježek, P., et al. (2025). Liraglutide-conjugated poly(methyl vinyl ether-alt-maleic acid)-coated core–shell upconversion nanoparticles for theranostics of diabetes. ACS Applied Materials & Interfaces.

Nikhil Agarwal | Neuroimaging | Young Scientist Award

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Mr. Nikhil Agarwal | Neuroimaging | Young Scientist Award

Mr. Nikhil Agarwal | Paher University | India

Nikhil Agarwal is a Research Scholar in the Department of Chemistry at PAHER University, Udaipur, specializing in supramolecular chemistry with a focus on molecular interactions, host–guest systems, and functional materials. His academic pathway includes foundational training in medical sciences, advanced studies in pharmaceutical chemistry, and professional qualifications in education, contributing to a multidisciplinary perspective that strengthens his research approach. He has accumulated extensive teaching experience, serving in coaching institutes and later as a postgraduate teacher in Biology and Chemistry, where he also handled responsibilities as Exam Head and CBSE Coordinator while contributing to physical education activities. His research output reflects growing scholarly recognition, with a total of 49 citations, an h-index of 3, and an i10-index of 1, demonstrating his contributions to the field and the impact of his published documents. Alongside his academic commitments, he is driven by strong professional values such as discipline, dedication, and a result-oriented mindset, continuously striving to enhance his abilities and pursue excellence in both research and teaching. His combined expertise in supramolecular chemistry, educational practice, and academic administration positions him as a committed researcher aiming to advance scientific understanding and contribute meaningfully to his discipline.

Profiles: Google Scholar | Orcid

Featured Publications

Sharma, V. S., Sharma, A. S., Agarwal, N. K., Shah, P. A., & Shrivastav, P. S. (2020). Self-assembled blue-light emitting materials for their liquid crystalline and OLED applications: From a simple molecular design to supramolecular materials. Molecular Systems Design & Engineering, 5(10), 1691–1705.

Sharma, V. S., Sharma, A. S., Ganga, V. S. R., Shrivastav, P. S., Shah, P. A., & Agarwal, N. (2021). Room-temperature blue-light-emitting liquid crystalline materials based on phenanthroimidazole-substituted carbazole derivatives. New Journal of Chemistry, 45(47), 22193–22201.

Sharma, V. S., Sharma, A. S., Agarwal, N. K., Shah, P. A., & Shrivastav, P. S. (2021). Correction: Self-assembled blue-light emitting materials for their liquid crystalline and OLED applications: From a simple molecular design to supramolecular materials. Molecular Systems Design & Engineering, 6(6), 493.

Rana, J. R., Sharma, V. S., Agarwal, N. K., Panchal, J., & Gothwal, R. (2022). Synthesis, characterization, mesomorphic study of some novel sulphonamide Schiff base derivatives and their antimicrobial evaluation. World Scientific News, 168, 69–80.

Patel, V. B., Agarwal, N. K., Sharma, V. S., Gothwal, R., & Sharma, B. (2022). Synthesis, characterization, mesomorphic and biological evaluation of some novel sulphonamide Schiff base derivatives. World Scientific News, 1–15.

Agarwal, N., Sharma, V. S., Mali, H., Pathan, S., Thakar, S., Athar, M., … (2025). Pyrene-based macrocyclic system with tetramethoxy resorcinarene functionalization: Applications in liquid crystals and bioimaging study. Journal of Molecular Liquids, Article 128943.

Muhammad Fahad | Neuroimaging | Best Researcher Award

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Mr. Muhammad Fahad | Neuroimaging | Best Researcher Award

Mr. Muhammad Fahad | Tianjin University | China

Muhammad Fahad is a dedicated researcher and Ph.D. candidate in Information and Communication Engineering, with a strong specialization in medical image processing, deepfake detection, and speech enhancement. His academic journey, from computer science studies to advanced doctoral research, has been marked by a consistent focus on solving real-world problems through innovative technologies. Professionally, he has contributed in education, telecommunications, and computing operations, enriching his technical expertise and adaptability. His research contributions span multispectral breast cancer image enhancement, dual-energy X-ray processing, and AI-driven digital media verification, reflecting his ability to merge technical rigor with societal impact.

Profile

Orcid

Early Academic Pursuits

Muhammad Fahad began his academic journey with a deep interest in computing and information sciences, which laid the foundation for his career in advanced technology research. His undergraduate studies in computer science provided him with a solid grounding in programming, algorithms, and system design. Building on this foundation, he pursued a master’s degree in computer science with a specialization in image processing, where he developed a strong research orientation. His academic trajectory naturally progressed toward doctoral studies in information and communication engineering, where he refined his expertise in medical image processing, deepfake detection, and speech enhancement. This progression reflects a consistent commitment to mastering complex technological domains and applying them to real-world problem-solving.

Professional Endeavors

Before embarking on his doctoral research, Muhammad Fahad accumulated diverse professional experience across multiple sectors, enhancing both his technical and interpersonal skills. He served as an educator in schools and colleges, fostering knowledge transfer and strengthening his pedagogical abilities. His tenure as a drive test engineer in a leading telecommunications company in the United Arab Emirates allowed him to engage with large-scale network performance assessments, optimize data-driven decision-making processes, and ensure service quality. Additionally, his early work in computing operations in Pakistan strengthened his technical versatility and attention to detail, skills that would later support his complex research projects.

Contributions and Research Focus

Muhammad Fahad’s research portfolio is distinguished by its multidisciplinary scope, bridging healthcare, communication systems, and image processing technologies. His work in multispectral transmission breast cancer image enhancement demonstrates a commitment to improving diagnostic accuracy and medical imaging outcomes. His projects in deepfake detection address pressing concerns in digital media integrity, while his speech enhancement research advances accessibility and audio clarity in communication systems. He has also explored dual-energy X-ray image processing, contributing to enhanced imaging capabilities for security and medical applications. His work consistently integrates algorithmic innovation with practical applications, aiming to address societal and technological challenges.

Technological Expertise and Innovations

A hallmark of Muhammad Fahad’s work is his ability to integrate advanced computational techniques into diverse domains. His expertise encompasses designing algorithms for image enhancement, implementing deep learning frameworks for content verification, and developing noise reduction systems for speech clarity. By combining his knowledge of programming, signal processing, and artificial intelligence, he has created solutions that push the boundaries of what is possible in medical diagnostics, digital forensics, and communication technologies.

Accolades and Recognition

While his primary focus has been on research and development, Muhammad Fahad’s academic and professional efforts have earned him recognition within both academic and industrial settings. His ability to deliver high-impact results in collaborative projects has positioned him as a valuable contributor in research teams and professional networks. His active engagement with the global research community through platforms like ResearchGate reflects both his scholarly contributions and his openness to collaborative knowledge exchange.

Impact and Influence

The impact of Muhammad Fahad’s work extends beyond the laboratory, influencing both technical advancements and practical implementations. His research in medical imaging holds the potential to enhance diagnostic accuracy, enabling earlier detection and treatment planning in critical health conditions. His contributions to deepfake detection offer tools for safeguarding digital authenticity, a growing concern in modern communication. Similarly, his advancements in speech enhancement have applications in assistive technologies, improving quality of life for individuals with hearing challenges.

Legacy and Future Contributions

Looking ahead, Muhammad Fahad envisions continuing his work at the intersection of image processing, communication technologies, and healthcare innovations. His future research aims to integrate artificial intelligence more deeply into medical and multimedia analysis, creating systems that are not only technically sophisticated but also accessible and impactful for end users. Through sustained innovation and collaboration, he seeks to leave a legacy of technological solutions that address real-world challenges, strengthen digital trust, and contribute to advancements in global healthcare and communication infrastructure.

Publication

Diffusion model in modern detection: Advancing Deepfake techniques – Fazeela Siddiqui, Jiachen Yang, Shuai Xiao, Muhammad Fahad – 2025

Enhanced deepfake detection with DenseNet and Cross-ViT – Fazeela Siddiqui, Jiachen Yang, Shuai Xiao, Muhammad Fahad – 2025

Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms – Mohammed Jajere Adamu, Halima Bello Kawuwa, Li Qiang, Charles Okanda Nyatega, Ayesha Younis, Muhammad Fahad, Salisu Samaila Dauya – 2024

Conclusion

Through a blend of academic excellence, multidisciplinary expertise, and innovative problem-solving, Muhammad Fahad has positioned himself as a valuable contributor in the fields of healthcare technology, digital media security, and communication systems. His work not only advances technological boundaries but also addresses critical global challenges. With a clear vision for integrating artificial intelligence into medical and multimedia applications, he is set to make lasting contributions that will benefit both academic research and practical implementations worldwide.