Wasiu Akande Ahmed | Artificial Intelligence in Diagnostics | Research Excellence Award

Assist. Prof. Dr. Wasiu Akande Ahmed | Artificial Intelligence in Diagnostics | Research Excellence Award

Assistant Professor | Hangzhou International Innovation Institute of Beihang University | China

Dr. Wasiu Akande Ahmed is an accomplished researcher whose work centers on advanced challenges in global navigation satellite systems (GNSS), satellite communication, and space-based sensing technologies. His research portfolio spans GNSS signal processing, multipath and interference mitigation, signal delay modeling, and noise reduction, with significant contributions to AI-enhanced error correction and system optimization. He is widely recognized for pioneering studies in GNSS reflectometry for environmental monitoring and GNSS-based weather forecasting using radio occultation techniques. His interdisciplinary research further extends to UAV-enabled applications, precision agriculture, climate-smart farming, food security, and 5G–GNSS integration for next-generation location-based services. With numerous publications in high-impact journals and international conferences, multiple patents, and authorship of scholarly books and chapters, his work demonstrates strong translational potential. Through collaborative and innovative research, he continues to advance the frontiers of satellite navigation, remote sensing, and resilient positioning technologies.

Citation Metrics (ResearchGate)

60

45

30

15

0

 

51
Citations

26
Documents

Citations

Documents

Featured Publications

Anastasios Koulaouzidis | Artificial Intelligence in Diagnostics | Research Excellence Award

Prof. Dr. Anastasios Koulaouzidis | Artificial Intelligence in Diagnostics | Research Excellence Award

Clinical Professor | University of Southern Denmark | Denmark

Dr. Anastasios Koulaouzidis is an internationally recognized researcher in gastroenterology with a primary focus on capsule endoscopy, minimally invasive gastrointestinal diagnostics, and the clinical integration of artificial intelligence in endoscopic practice. His scholarly work has significantly shaped quality metrics, consensus guidelines, and real-world implementation strategies for small-bowel and colon capsule endoscopy across Europe and beyond. He has authored 352 peer-reviewed scientific documents, encompassing original research, systematic reviews, meta-analyses, consensus statements, and guideline contributions, reflecting sustained productivity and leadership in translational and clinical research. His publications have collectively attracted 7,744 citations, underscoring their broad scientific influence and adoption within the global gastroenterology community, and he holds an h-index of 49, indicating consistent high-impact output over time. His research portfolio bridges diagnostic innovation, health-care efficiency, and patient-centered outcomes, with particular emphasis on quality improvement, standardization, and future-ready technologies in gastrointestinal endoscopy.

Citation Metrics (Scopus)

8000

6000

4000

2000

0

 

7,744
Citations

352
Documents

49
h-index

Citations

Documents

h-index

Featured Publications

Subhash Chandra Yadav | Point of Care Testing | Research Excellence Award

Prof. Dr. Subhash Chandra Yadav | Point of Care Testing | Research Excellence Award

Professor | AIIMS New Delhi | India

Dr. Subhash Chandra Yadav is a research-focused scientist with significant contributions to advanced electron microscopy, nanotechnology, and nano-enabled diagnostics. His scholarly output reflects sustained impact across interdisciplinary biomedical research, supported by 5,036 citations, 47 peer-reviewed documents, and an h-index of 16. His research emphasizes ultrastructural imaging, cryo-electron tomography, and the development of cost-effective nanodiagnostic platforms for infectious diseases and cancer detection. He has led and contributed to studies advancing visual nano-detection systems, nanoparticle-based drug delivery, and virus–host interaction analysis at near-native resolution. His work bridges fundamental nanoscale science with translational diagnostics, enabling scalable and clinically relevant innovations. Through consistent publication in high-impact journals and collaborative research initiatives, his contributions have strengthened the application of nanomedicine and microscopy-driven diagnostics, positioning his research as a valuable resource for advancing precision diagnostics and therapeutic strategies in modern biomedical science.

Citation Metrics (Scopus)

6000

4500

3000

1500

0

 

5,036
Citations

47
Documents

16
h-index

Citations

Documents

h-index

Featured Publications

Helala AlShehri | Artificial Intelligence in Diagnostics | Research Excellence Award

Prof. Helala AlShehri | Artificial Intelligence in Diagnostics | Research Excellence Award

Assistant Professor | Jubail Industrial College | Saudi Arabia

Prof. Helala Mohammad AlShehri is a research-focused scholar in computer science whose work centers on artificial intelligence, deep learning, and data-driven methodologies with applications in medical imaging and intelligent systems. The research portfolio comprises 6 peer-reviewed documents published in reputable indexed journals, reflecting sustained contributions to methodological development and applied AI research. These works have collectively received 97 scholarly citations, demonstrating measurable academic impact and visibility within the research community. With an h-index of 5, the body of work indicates consistent citation performance across multiple publications, highlighting both productivity and influence. The research emphasizes model robustness, interpretability, and performance optimization, particularly in pattern recognition, image analysis, and computational intelligence. Through interdisciplinary collaboration and rigorous experimental validation, the contributions advance the integration of AI techniques into real-world analytical and diagnostic frameworks. Overall, the scholarly output reflects a focused, impact-oriented research trajectory supported by recognized citation metrics and peer-reviewed dissemination.

Citation Metrics (Scopus)

100
75
50
25
0

97
Citations

6
Documents

5
h-index

Citations

Documents

h-index

Featured Publications