Nawel Benchaabane | Medical Image Analysis | Research Excellence Award

Dr. Nawel Benchaabane | Medical Image Analysis | Research Excellence Award

Dr Chef De Projects | Audensiel Technologies | France 

Dr. Nawel Benchaabane is a researcher at Audensiel Technologies, Paris, France, specializing in artificial intelligence for healthcare and medical decision support. Her research focuses on AI-driven gait analysis, medical image understanding, and visual question answering for clinical diagnosis. She has authored 2 Scopus-indexed publications, with 17 citations and an h-index of 1, reflecting early but growing scientific impact. Her work has been published in high-impact venues such as Scientific Reports, IEEE EMBS Conference, and Intelligent Systems with Applications. Through interdisciplinary collaborations between AI and medical domains, her research contributes to improved diagnosis, patient monitoring, and data-driven healthcare innovation with tangible societal benefits.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
17

Documents
2

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile

Featured Publications


Visual question answering for medical diagnosis.

-Intelligent Systems with Applications. (2025).

Gait deviation change prediction for patients with gait disorders using artificial intelligence.

– IEEE Engineering in Medicine and Biology Society (EMBC). (2023).

Quantification de la qualité de la marche par intelligence artificielle.

– Recherche en Imagerie et Technologies pour la SantĂ© (RITS). (2023).

Qi Lai | Medical Image Analysis | Women Researcher Award

Dr. Qi Lai | Medical Image Analysis | Women Researcher Award

Assistant Professor | Shenzhen Institutes of Advanced Technology | China

Dr. Qi Lai is a researcher at the Shenzhen Institutes of Advanced Technology, China, specializing in weakly supervised learning, medical image analysis, and multi-instance learning. He has authored 11 peer-reviewed publications, receiving over 52 citations with an h-index of 5. His work spans deep learning for pathology, object detection, semantic segmentation, and medical image restoration, often in collaboration with international teams across leading institutions. Notable contributions include interactive and hybrid MIL frameworks and contrastive learning methods that enhance diagnostic precision. His research advances reliable AI-driven clinical decision support, contributing to improved healthcare technologies and societal well-being.

 

Citation Metrics (Scopus)

200

150

100

50

0

Citations
52

Documents
11

h-index
5

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile
             View Google Scholar Profile
             View ORCID Profile

Featured Publications


Fast broad multiview multi-instance multilabel learning (FBM3L) with viewwise intercorrelation.

– IEEE Transactions on Neural Networks and Learning Systems (2024). Cited By: 5 

Interactive multiple instance learning network for whole slide image analysis.

– Expert Systems with Applications. (2026). Cited By:  1

Joint discriminative latent subspace learning for image classification

– IEEE Transactions on Circuits and Systems for Video Technology. (2022). Cited By:: 15

Mueen Uddin | Medical Image Analysis | Research Excellence Award

Prof. Dr. Mueen Uddin | Medical Image Analysis | Research Excellence Award

Professor | University Of Doha For Science and Technology | Qatar

Dr. Mueen Uddin is an Associate Professor of Cybersecurity and Data Sciences at the University of Doha for Science & Technology (UDST), Qatar. He is an internationally recognized researcher whose work bridges cybersecurity, blockchain technologies data science artificial intelligence, and healthcare security. His scholarly contributions reflect a strong commitment to advancing secure, intelligent, and sustainable digital systems across multidisciplinary domains.Dr. Uddin has authored over 192 peer-reviewed research publications in leading international journals and conferences, including IEEE Access, IEEE Network Renewable  Sustainable Energy Reviews, Sustainability and Health Informatics Journal. His research impact is evidenced by more than 7,404 citations an h-index of 43, and an i10-index of 99, underscoring the consistency quality and global relevance of his work. Several of his publications are widely cited benchmarks particularly in handwritten OCR systems medical image segmentation, blockchain for healthcare and digital twins energy-efficient data centers and IoT-enabled cybersecurity infrastructures.His research expertise spans Blockchain and Web 3.0, IoT and Cybersecurity Healthcare Security Metaverse technologies Deep Learning and Green IT systems. Dr. Uddin has played a pivotal role in advancing blockchain-based drug traceability solutions secure electronic health records intrusion detection systems and AI-driven healthcare analytics contributing directly to combating counterfeit drugs enhancing patient data security and improving diagnostic intelligence.Dr. Uddin actively collaborates with researchers across Asia Europe the Middle East and Africa fostering interdisciplinary and cross-border research initiatives. These collaborations have resulted in impactful studies addressing real-world challenges in smart cities sustainable development healthcare digitalization and intelligent network security.Beyond academia his work demonstrates strong societal and industrial relevance offering scalable secure solutions aligned with global priorities such as digital trust, sustainable computing, and resilient healthcare systems. Through high-impact research, academic leadership, and global collaboration Dr. Mueen Uddin continues to shape the future of cybersecurity and data-driven innovation worldwide.

Profiles: Scopus | ORCID | Googlescholar 

Featured Publications

1.Memon, J., Sami, M., Ahmed, R., & Uddin, M. (2020). Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR). IEEE Access, 8, 142642–142668. https://doi.org/10.1109/ACCESS.2020.3012542. Cited By : 730

2.Norouzi, A., Rahim, M. S. M., Altameem, A., Saba, T., Rad, A. E., Rehman, A., & Uddin, M. (2014). Medical image segmentation methods, algorithms, and applications. IETE Technical Review, 31(3), 199–213. https://doi.org/10.1080/02564602.2014.906861. Cited By : 440

3.Uddin, M., & Rahman, A. A. (2012). Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics. Renewable and Sustainable Energy Reviews, 16(6), 4078–4094. https://doi.org/10.1016/j.rser.2012.03.002. Cited By : 318

4.Yaqoob, M. I. I., Salah, K., Uddin, M., Jayaraman, R., & Omar, M. (2020). Blockchain for digital twins: Recent advances and future research challenges. IEEE Network, 34(5), 290–298. https://doi.org/10.1109/MNET.2020.9225779. Cited By :  291

5.Uddin, M. (2021). Blockchain MedLedger: Hyperledger Fabric–enabled drug traceability system for counterfeit drugs in pharmaceutical industry. International Journal of Pharmaceutics, 597, 120235. https://doi.org/10.1016/j.ijpharm.2021.120235. Cited By : 273

Dr. Mueen Uddin’s research advances global innovation by integrating cybersecurity, blockchain, and AI to build secure, trustworthy, and sustainable digital ecosystems. His work delivers high-impact solutions for healthcare security, smart infrastructure, and data-intensive systems, translating scientific excellence into real-world societal and industrial benefits worldwide.

Dr. Vinniotsa Buzoianu Anguiano | Medical Image Analysis | Women Researcher Award

Dr. Vinniotsa Buzoianu Anguiano | Medical Image Analysis | Women Researcher Award

Doctorate at Hospital Nacional de Parapléjicos, Spain

Profiles

Scopus

Orcid

Summary

Dr. Vinnitsa Buzoianu Anguiano is an accomplished postdoctoral researcher at the Hospital Nacional de Parapléjicos in Spain, specializing in neural regeneration and spinal cord injury. Her work integrates natural and health sciences to advance treatments for neural damage.

Education

  • PhD in Animal Production and Health Sciences – Universidad Nacional AutĂłnoma de MĂ©xico, 2019
  • Master’s in Sciences – Universidad Nacional AutĂłnoma de MĂ©xico, 2013
  • Bachelor’s in Biology – Universidad SimĂłn BolĂ­var, 2007

đź’Ľ Professional Experience

Dr. Buzoianu has held several research positions across Mexico and Spain, including junior researcher roles in projects like “Camina” and Universidad Anahuac. Since 2021, she has been contributing to neural regeneration research at the LRNI/Grupo RegeneraciĂłn Neural.

🔬 Research Interests

Her research focuses on neural regeneration, spinal cord injuries, and innovative therapeutic strategies involving stem cells and biomaterials. She has contributed significantly to peer-reviewed publications and collaborative projects in these areas.

 

Publications

Improved Efficacy of Delayed Treatment with Human Bone Marrow-Derived Stromal Cells Evaluated in Rats with Spinal Cord Injury

  • Authors: Aguado-Garrido, M., GarcĂ­a-Rama, C., Romero-RamĂ­rez, L., Kramer, B.W., Mey, J.
  • Journal: International Journal of Molecular Sciences
  • Year: 2024

Use of Cells, Supplements, and Peptides as Therapeutic Strategies for Modulating Inflammation after Spinal Cord Injury: An Update

  • Authors: Garcia, E., Buzoianu-Anguiano, V., Silva-Garcia, R., Doncel-PĂ©rez, E., Ibarra, A.
  • Journal: International Journal of Molecular Sciences
  • Year: 2023

Role of aldynoglia cells in neuroinflammatory and neuroimmune responses after spinal cord injury

  • Authors: Buzoianu-Anguiano, V., Torres-Llacsa, M., Doncel-PĂ©rez, E.
  • Journal: Cells
  • Year: 2021

Recovery of motor function after traumatic spinal cord injury by using plasma-synthesized polypyrrole/iodine application in combination with a mixed rehabilitation scheme

  • Authors: Sánchez-Torres, S., DĂ­az-RuĂ­z, A., RĂ­os, C., Damián-Matsumura, P., Salgado-Ceballos, H.
  • Journal: Journal of Materials Science: Materials in Medicine
  • Year: 2020

Use of a Combination Strategy to Improve Morphological and Functional Recovery in Rats With Chronic Spinal Cord Injury

  • Authors: RodrĂ­guez-Barrera, R., Flores-Romero, A., Buzoianu-Anguiano, V., Juárez-Vignon Whaley, J.J., Ibarra, A.
  • Journal: Frontiers in Neurology
  • Year: 2020