Elias Christoforides | Chemistry | Best Researcher Award

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Dr. Elias Christoforides | Chemistry | Best Researcher Award

Dr. Elias Christoforides | Agricultural University of Athens | Greece

Dr. Elias Christoforides is a Postdoctoral Research Fellow at the Agricultural University of Athens (A.U.A), specializing in structural biology, biophysics, supramolecular chemistry, and computational methods. He holds degrees in Agricultural Biotechnology, Supramolecular Chemistry, and a Ph.D. in Structural Biology and Crystallography, and since 2016 has taught biophysics-related courses at A.U.A. and the University of West Attica. His research focuses on cyclodextrin inclusion complexes with food ingredients, natural products, and pharmaceutical compounds, employing X-ray crystallography, UV analysis, molecular docking, and molecular dynamics simulations to explore host–guest interactions with applications in food, nutraceutical, and pharmaceutical industries. He has published more than twenty peer-reviewed papers, a book chapter, and presented at over forty conferences, while also serving as a reviewer for more than two hundred manuscripts across fifty-seven scientific journals. His work has contributed new insights into complexes involving cholesterol, estradiol, cannabidiol, piperine, citral, geraniol, and flavonoids, advancing encapsulation and drug delivery technologies. Through collaborations with institutions such as NCSR Demokritos, the National Hellenic Research Foundation, and the Medical University of Warsaw, Dr. Christoforides has significantly expanded the structural and functional understanding of bioactive compounds, earning international recognition for his contributions to translational research and innovation in applied biophysics.

Profile:  Orcid

Featured Publications

Szeleszczuk, L., Bethanis, K., Christoforides, E., & Pisklak, D. M. (2025). Combining X-ray and NMR crystallography to explore the structural disorder in racemic propranolol hydrochloride.

Araj, S. K., Szeleszczuk, L., Gubica, T., Zielińska-Pisklak, M., Bethanis, K., Christoforides, E., Dudek, M. K., & Pisklak, D. M. (2025). Physicochemical and structural analysis of N-phenylacetyl-L-prolylglycine ethyl ester (Noopept) – An active pharmaceutical ingredient with nootropic activity

Christoforides, E., Andreou, A., Koskina, P., & Bethanis, K. (2025). Selective crystallization of trans-nerolidol in β-cyclodextrin: Crystal structure and molecular dynamics analysis.

Mazurek, A. H., Szeleszczuk, L., Bethanis, K., Christoforides, E., Dudek, M. K., Wielgus, E., & Pisklak, D. M. (2024). 17-β-Estradiol-β-cyclodextrin complex as an aqueous solution: Structural and physicochemical characterization supported by MM and QM calculations.

Bethanis, K., Christoforides, E., Andreou, A., & Hatziagapiou, K. (2024). Crystal structure of cannabidiol inclusion complexes in native and methylated β-cyclodextrins. Acta Crystallographica Section A: Foundations and Advances.

Vllaznim Mula | Chemistry | Best Faculty Award

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Mr. Vllaznim Mula | Chemistry | Best Faculty Award

Mr. Vllaznim Mula | Institute of Chemistry, Ss. Cyril and Methodius University | Best Faculty Award

Dr. Vllaznim Mula, a Kosovar chemist specializing in environmental and analytical chemistry, has built an impressive academic and research career dedicated to advancing air quality monitoring and innovative sensing technologies. He earned his Bachelor’s degree in Chemical Engineering (2010) and Master of Science in Chemistry with a specialization in Environmental Analytical Chemistry (2014) at the University of Prishtina “Hasan Prishtina,” achieving excellent academic records with top grades. His Master’s thesis focused on the electrochemical detection of hydrogen peroxide using ruthenium nanoparticle-based sensors, laying the foundation for his long-term research in environmental monitoring. Currently, he is pursuing a PhD in Chemistry at Ss. Cyril and Methodius University in Skopje, with anticipated defense in 2025. His doctoral research investigates the assessment and characterization of volatile organic compounds (VOCs) in indoor and outdoor air using passive sampling coupled with advanced analytical techniques. Professionally, he has been serving as a full-time Assistant at the University “Fehmi Agani” in Gjakova since 2018, where he has been reappointed multiple times due to his academic contributions. Dr. Mula has authored several high-impact scientific publications indexed in Web of Science and Scopus, with notable works in Atmosphere, Aerosol and Air Quality Research, and the Macedonian Journal of Chemistry and Chemical Engineering. His research collaborations extend internationally, addressing cross-border environmental challenges in Kosovo, North Macedonia, and Italy. Actively engaged in scientific dissemination, he has presented his findings at international conferences and workshops, contributing to knowledge on air pollution, environmental risks, and sustainable solutions.

Profile: Orcid

Featured Publications

Mula, V., Bogdanov, J., Stanoeva, J. P., Zeneli, L., Mehmeti, V., Gelmini, F., Daci, A., Berisha, A., Zdravkovski, Z., & Beretta, G. (2025). Semi-quantitative characterization of volatile organic compounds in indoor and outdoor air using passive samplers: A case study of Milan, Italy. Atmosphere, 16(9), 1088.

Mehmeti, V., Mula, V., Maiga, M. D., Seydou, M., Dagdag, O., Berisha, A., & Kaya, S. (2025). DFT analysis of fenethylline (Captagon): Investigating its interaction with graphene as a potential adsorbent. Macedonian Journal of Chemistry and Chemical Engineering, 44(1), 39–52.

Mula, V., Bogdanov, J., Stanoeva, J. P., Zeneli, L., & Zdravkovski, Z. (2024). Monitoring volatile organic compounds in air using passive sampling: Regional cross-border study between N. Macedonia and Kosovo. Aerosol and Air Quality Research, 24(1), 230170.

Mula, V., Bogdanov, J., Stanoeva, J. P., Zeneli, L., Berisha, A., & Zdravkovski, Z. (2024). Assessment of volatile organic compounds in indoor environments across North Macedonia and Kosovo using passive sampling. Macedonian Journal of Chemistry and Chemical Engineering, 43(2), 207–218.

Osmani, I., Mula, V., Hashani, Z., Bajraktari, D., & Zeneli, L. (2023). Heavy metals levels in raw cow’s milk and health risk implication from thermal power plants emission in Obilic, Kosova. Agriculture and Forestry, 69(4), 233–244.

Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

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Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

Profile

Orcid

Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
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Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
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  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
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