Dr. Volodymyr Burianov | Artificial Intelligence | Research Excellence Award

Dr. Volodymyr Burianov | Artificial Intelligence | Research Excellence Award

Principal Scientist | Enamine Ltd. | Ukraine

Dr. Volodymyr Burianov is an emerging researcher in organic chemistry specializing in catalytic hydrogenation, heterogeneous catalysis, and the synthesis of heterocyclic compounds for pharmaceutical and advanced material applications. His work focuses on developing efficient catalytic systems, nanocomposite materials, and innovative hydrogenation strategies to enhance reaction selectivity and performance. He has contributed to multiple peer-reviewed publications and international conference presentations, reflecting steady scientific impact. According to available metrics, his research has achieved 56 Scopus citations across 6 documents with an h-index of 5, alongside growing visibility on Google Scholar. His contributions demonstrate strong potential in advancing catalytic science and sustainable chemical synthesis.

Citation Metrics (Scopus)

60

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40

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20

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Citations
56

Documents
6

h-index
5

                   ■ Citations Documents h-index


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Featured Publications

Gabriella d’Albenzio | Artificial Intelligence | Best Researcher Award

Dr. Gabriella d’Albenzio | Artificial Intelligence | Best Researcher Award

Postdoc, Perk Lab Perk Lab Laboratory for Percutaneous Surgery, Canada

🎓 Gabriella d’Albenzio is a talented researcher with a focus on biomedical engineering and medical imaging. Currently pursuing a Ph.D. in Informatics at the University of Oslo, she has an impressive background in clinical engineering and biomedical engineering. Gabriella has worked on cutting-edge projects related to image-guided therapies and deep learning for medical applications, contributing significantly to her field through both research and development.

Profile

Scopus

 

Education

📚 Gabriella d’Albenzio holds a Ph.D. in Informatics from the University of Oslo (2021-2024). She completed her M.Sc. in Biomedical Engineering and B.Sc. in Clinical Engineering at Sapienza University of Rome, Italy, reflecting a solid foundation in both engineering and medical sciences.

Experience

💼 Gabriella d’Albenzio has extensive experience as a Scientific Software Developer at The Intervention Centre in Oslo, Norway, and as a Research Assistant at NTNU. She has also interned at the Rehabilitation Bioengineering Lab in Rome, contributing to various research projects involving advanced medical imaging and deep learning technologies.

Research Interests

🧠 Gabriella’s research interests are centered around enhancing surgical planning and medical imaging through deep learning and advanced computational techniques. Her work focuses on developing algorithms for medical image segmentation and predictive models for surgical outcomes, aiming to improve patient-specific treatment strategies.

Awards

🏅 Gabriella d’Albenzio has been recognized with the Globalink Research Internship by Mitacs, Canada, and a Grant Research Stay Abroad by The Research Council of Norway. These awards highlight her outstanding contributions to research and her commitment to advancing biomedical engineering.

Publications

Optimizing Surgical Plans for Parenchyma-Sparing Liver Resections through Contour-Guided Resection and Surface Approximation

Using NURBS for Virtual Resections in Liver Surgery Planning: A Comparative Usability Study

Patient-Specific Functional Liver Segments Based on Centerline Classification of the Hepatic and Portal Veins

ALive: Analytics for Computation and Visualization of Liver Resections

Laparoscopic Parenchyma-Sparing Liver Resection for Large (≥50 mm) Colorectal Metastases