Prof. Arn Mignon | Quantitative Biology | Research Excellence Award

Prof. Arn Mignon | Quantitative Biology | Research Excellence Award

KU Leuven University | Belgium

Prof. Arn Mignon, Associate Professor at KU Leuven, is a distinguished researcher in advanced biomaterials and polymer science with strong interdisciplinary relevance to computational biology. Holding a PhD in Chemical Engineering, he has developed significant expertise in smart polymers, nanoparticle synthesis, and electrospinning-based additive manufacturing. Since establishing his Smart Polymeric Biomaterials research group, he has led innovative work on stimuli-responsive drug delivery systems targeting wound healing, tissue repair, and biomedical implants. With over 50 journal publications, 3 patents, and a strong citation record (h-index 28), his research integrates material design with biomedical applications, demonstrating impactful contributions aligned with the vision of the Computational Biologists Awards.

Citation Metrics (Scopus)

3000
2000
1000
100
0

Citations
2,769

Documents
54

h-index
26

Citations

Documents

h-index


View Scopus Profile
View Orcid Profile
View GoogleScholar Profile

Featured Publications

NURTEN GÜLSÜM BAYRAK | Metagenomics | Best Scholar Award

Assoc. Prof. Dr. NURTEN GÜLSÜM BAYRAK | Metagenomics | Best Scholar Award

Giresun University | Turkey

Assoc. Prof. Dr. Nurten Gülsüm Bayrak is an accomplished Associate Professor in psychiatric nursing at Giresun University, with extensive expertise in mental health, child abuse, and psychosocial interventions. She earned her PhD in Nursing from Gazi University, focusing on a meta-analysis of child abuse, and holds advanced degrees in nursing and child development. With a strong academic and clinical background, she has contributed to numerous international peer-reviewed publications, particularly in psychiatric care, trauma, and patient well-being. Her research emphasizes evidence-based interventions, including meta-analyses and qualitative studies addressing vulnerable populations. In addition to her academic role, she has extensive clinical experience in psychiatric and emergency care, actively contributing to education, research, and community health advancement.

Citation Metrics (Scopus)

300
200
100
10
0

Citations
53

Documents
9

h-index
3

Citations

Documents

h-index


View Scopus Profile View Orcid Profile View Google Scholar Profile

Featured Publications

Ann Aerts | Epigenomic Data Integration | Research Excellence Award

Dr. Ann Aerts | Epigenomic Data Integration | Research Excellence Award

Novartis Foundation | Switzerland

Dr. Ann Aerts is a global health leader and physician who serves as Head of the Novartis Foundation, where she drives initiatives to transform urban population health through data, digital technology, and AI. With a medical degree and a Master’s in Public Health from the University of Leuven, along with training from the Institute of Tropical Medicine Antwerp, she combines clinical expertise with innovation. Ann is known for advancing multisector partnerships and scalable digital health solutions to reduce global health disparities. She also chairs the Broadband Commission Working Group on Digital and AI in Health and serves on several international boards, contributing to more resilient and preventive healthcare systems worldwide.

Citation Metrics (Scopus)

4000
3000
2000
1000
 0

Citations
1,239
Documents
49
h-index
16

Citations

Documents

h-index


View Scopus Profile View Orcid Profile

Featured Publications

Afrah Shaahid | Computational Systems Medicine | Research Excellence Award

Ms. Afrah Shaahid | Computational Systems Medicine | Research Excellence Award

KFUPM | Saudi Arabia

Ms. Afrah Shaahid is an emerging AI Developer and researcher with over three years of experience in computer science, specializing in machine learning, deep learning, and computer vision. Currently pursuing a Master’s degree at King Fahd University of Petroleum and Minerals, she has developed advanced AI models including CNNs, GANs, diffusion models, and vision-language systems. Her work spans healthcare, cybersecurity, and image enhancement, with contributions to high-impact research and publications. Afrah has also led workshops, mentored students, and collaborated on multidisciplinary projects. With strong technical expertise and a passion for innovation, she is dedicated to building scalable AI solutions and advancing intelligent systems for real-world applications.

Citation Metrics (Scopus)

400
300
200
100
 0

Citations
173
Documents
4
h-index
4

Citations

Documents

h-index


View Scopus Profile View Orcid Profile View Google Scholar Profile

Featured Publications

Irfan Saif Ud Din | Applied Sciences | Young Researcher Award

Mr. Irfan Saif Ud Din | Applied Sciences | Young Researcher Award

University of Management and Technology | Pakistan

Irfan Saif ud Din is a dedicated mathematics lecturer, researcher, and educator with strong expertise in applied mathematics, fluid dynamics, and computational modeling. He is currently pursuing a PhD in Mathematics while contributing actively as a research assistant and lecturer. His academic background includes an MPhil in Mathematics, where his thesis focused on computational analysis of nanofluid behavior, bioconvection, and slip effects. He has extensive teaching experience across secondary and higher education institutions, demonstrating excellence in delivering mathematical and scientific concepts. Proficient in tools such as MATLAB, Python, and TeXstudio, he integrates computational techniques into research and teaching. His publications in reputed journals highlight his work on nanofluids, thermal systems, and artificial neural networks, reflecting his commitment to advancing mathematical research and interdisciplinary innovation.

Citation Metrics (Scopus)

40
30
20
10
 0

Citations
28
Documents
6
h-index
2

Citations

Documents

h-index


View Scopus Profile            View Google Scholar Profile

Featured Publications


ANN-based analysis of thin film Maxwell fluid dynamics with electro-osmotic and nonlinear thermal effects

– Alexandria Engineering Journal

Nano-bio-film flow of Williamson fluid due to a non-linearly extending/contracting surface with non-uniform physical properties

– Waves in Random and Complex Media

On prescribed thermal distributions of bioconvection Williamson nanofluid transportion due to an extending sheet with non-Fourier flux and radiation

– Waves in Random and Complex Media

Heuristic physics-informed neural network model for simulating melting-induced thin film flow of cross-fluid with industrial waste and electroosmosis effects

– Engineering Applications of Artificial Intelligence

Melting rheology of Prandtl Eyring hybrid nanofluid flow with slip condition past a Riga Wedge through Darcy-Forchheimer medium

– Case Studies in Thermal Engineering