Hadeer Helaly | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

Dr. Hadeer Helaly | Biomedical Instrumentation | Research Excellence Award

Lecturer Assistant | Damietta University | Egypt

Dr. Hadeer Abdo Mohamed Abdellatif Helaly is an Assistant Lecturer at the Faculty of Engineering, Damietta University, with expertise in computer and control systems engineering, artificial intelligence, and deep learning for healthcare applications. She earned her Bachelor’s, Master’s, and doctoral training from the Faculty of Engineering, Mansoura University, specializing in computer and control systems engineering, with advanced research concentration in deep learning, medical image analysis, and disease detection. Her professional experience spans academic teaching, supervision of undergraduate projects, research assistance, and industry exposure as an open-source web developer, alongside active participation in international research training and collaborative projects in machine learning, speech analysis, and medical diagnostics. Her scholarly impact is evidenced by a Scopus profile comprising 5 documents, 354 citations, and an h-index of 3.

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View  Scopus Profile View  ORCID Profile

Featured Publications

Early Breast Cancer Detection, Affected Cell Classification, and Segmentation Framework
H. A. Helaly, M. Badawy, E. M. El-Gendy, A. Y. Haikal – Engineering Applications of Artificial Intelligence

ELCD-NSC2: A Novel Early Lung Cancer Detection and Non-Small Cell Classification Framework
H. A. Helaly, M. Badawy, E. M. El-Gendy, A. Y. Haikal – Neural Computing and Applications

A Review of Deep Learning Approaches in Clinical and Healthcare Systems Based on Medical Image Analysis
H. A. Helaly, M. Badawy, A. Y. Haikal – Multimedia Tools and Applications

Deep Learning Approach for Early Detection of Alzheimer’s Disease
H. A. Helaly, M. Badawy, A. Y. Haikal – Cognitive Computation

Toward Deep MRI Segmentation for Alzheimer’s Disease Detection
H. A. Helaly, M. Badawy, A. Y. Haikal – Neural Computing and Applications

Mr. Nicholas Otumi | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

Mr. Nicholas Otumi | Biomedical Instrumentation | Research Excellence Award

Research Assistant | University of Rochester | United States

Nicholas Otumi is a biomedical imaging researcher and diagnostic imaging specialist affiliated with the University of Rochester, with expertise spanning diagnostic imaging, biomedical engineering, and artificial intelligence–driven medical image analysis. He holds a Master of Science in Diagnostic Imaging with specialization in bioengineering and biomedical engineering, and a Bachelor of Science in Diagnostic Imaging Technology, supported by advanced training in deep learning, signal processing, inverse problems, and clinical imaging. His professional experience includes research assistant roles across academic and clinical settings, where he has contributed to imaging model development, clinical data management, AI-based brain and chest image segmentation, and interdisciplinary healthcare research, alongside leadership and community engagement roles within university environments. His research focuses on medical image quality, user-centered imaging system evaluation, deep learning for disease classification, and the application of advanced MRI and CT techniques in both high- and low-resource settings, with multiple peer-reviewed journal publications and ongoing studies under review. He has received competitive research funding and fellowship recognition, institutional awards for leadership and versatility, and has participated in international scientific schools and specialized workshops in radiochemistry, medical physics, AI diagnostics, and imaging quality assurance. His academic service includes research collaboration, technical support, and scholarly dissemination, reflecting a strong commitment to advancing diagnostic imaging research and education.

Profiles:  Google Scholar | ORCID

Featured Publications

AD Piersson, G Nunoo, E Tettey, N Otumi, User-centered assessment of MRI equipment flexibility, workspace adequacy, user interface usability, and technical proficiency. Appl. Clin. Inform., 2025, 16(5), 1595–1605.

AD Piersson, G Nunoo, K Dzefi-Tettey, N Otumi, Utility of advanced brain MRI techniques for clinical and research purposes in a low-resource setting: A multicentre survey. Next Res., 2025, 100638.

A Piersson, E Frost, K Dzefi-Tettey, N Otumi, H Mumuni, S Kafwimbi, et al., Public attitudes and preferences towards artificial intelligence in diagnostic imaging for clinical diagnosis in a low-resource setting (n = 1,032). Eur. Soc. Radiol. (ECR), 2025.

E Fiagbedzi, J Arkorful, IF Brobbey, E Appiah, S Nyarko, N Otumi, et al., A case of ruptured infrapatellar bursa sac with Baker’s cyst. Radiol. Case Rep., 2025, 20(1), 700–704.

E Fiagbedzi, J Arkorful, E Appiah, N Otumi, I Ofori, PN Gorleku, A rare case of intussusception in a 6-month-old baby. Radiol. Case Rep., 2025, 19(10), 4451–4456.

Dr. Salam Bani Hani | Nursing and Medical Feilds | Best Researcher Award

Published on by Electrical Engineering

Dr. Salam Bani Hani | Nursing and Medical Feilds | Best Researcher Award

Assisstant Professor | Irbid National University | Jordan

Dr. Salam Bani Hani is an Assistant Professor and Head of the Nursing Department at Irbid National University, recognized for her expertise in nursing research, healthcare quality, digital health, and clinical education. She holds a PhD in Nursing Philosophy with a specialization in large-scale data applications for predicting cardiovascular conditions, an MSc in Nursing Service Administration, and a BSc in Nursing. Her professional experience includes academic leadership, clinical instruction across diverse nursing specialties, patient and family education, and clinical practice in emergency and critical care settings. Dr. Bani Hani’s research focuses on cardiovascular disease prediction using artificial intelligence, nursing education, digital health literacy, patient safety, chronic disease management, and public health issues affecting vulnerable communities. She has an extensive record of publications across reputable Scopus-indexed journals, contributing empirical studies, systematic reviews, and interdisciplinary collaborations. She has delivered multiple professional workshops on life support, documentation, pain management, and clinical communication, and has actively participated in scientific conferences as a speaker, trainer, and rapporteur. Her professional service includes reviewing for peer-reviewed journals, contributing to academic committees, and supporting program development and training initiatives. She has received national recognition, including a distinguished nursing shield, and has earned certifications that enhance her clinical and academic proficiency. Dr. Bani Hani’s scholarly impact is reflected in 333 citations, 63 published documents, and an h-index of 8.

Profile: Scopus | ORCID

Featured Publications

Bani Hani, Salam, Jordanian nursing students’ perceptions of the compassionate actions of their clinical instructors: a mixed-methods study. BMC Nursing, 2025.

Bani Hani, Salam, Barriers affecting safe practice of oxygen administration to critical ill children. Journal of Pediatric Nursing, 2025.

Bani Hani, Salam, Preoperative anxiety, postoperative pain tolerance and analgesia consumption: A prospective cohort study. Journal of Perioperative Practice, 2025.

Bani Hani, Salam, Knowledge and practices of Jordanian university students regarding food safety and handling. Nutrition and Food Science, 2025.

Bani Hani, Salam, Depression and Anxiety among Adolescents with Type 1 Diabetes Mellitus: Systematic Review of Literature. The Open Nursing Journal, 2025.