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

Feng Sun | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

Prof. Feng Sun | Biomedical Instrumentation | Research Excellence Award

Professor | Peking University | China

Dr. Sun Feng, an accomplished academic and researcher in electrical and automation engineering, serves as a senior faculty member at a leading technical institution, where he specializes in intelligent systems and advanced sensing technologies. He holds advanced degrees in electrical engineering with a concentration in control systems, complemented by specialized training in automation, signal processing, and computational modeling. His professional experience spans research leadership, project supervision, and collaborative industry–academia initiatives focused on smart infrastructure, condition monitoring, and predictive diagnostics. Dr. Sun’s research contributions include numerous peer-reviewed publications, applied innovations in system optimization, and advancements in data-driven methodologies for engineering applications, supported by editorial roles, technical committee service, and memberships in professional societies. He has received recognitions for research excellence, innovation, and academic leadership, alongside consultancy engagements and funded project involvement that demonstrate his broader societal and industrial impact. His scholarly profile is further evidenced by 6,622 citations, 262 indexed documents, and an h-index of 36.

Citation Metrics (Scopus)

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6,622

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262

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36

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View Scopus Profile  View ORCID Profile

Featured Publications

Arturo Sánchez Pérez | Signal & Image Processing | Best Researcher Award

Published on by Electrical Engineering

Prof. Dr. Arturo Sánchez Pérez | Signal & Image Processing | Best Researcher Award

Porfesor Contratado Doctor | Universidad de Murcia | Spain

Arturo J. Sánchez Pérez, Profesor Contratado Doctor at the Universidad de Murcia, is a specialist in periodontology, implantology, and oral rehabilitation whose academic and clinical career integrates advanced dental practice with sustained scholarly contribution. He holds a Licenciatura en Medicina y Cirugía, a Doctorado in oral health sciences with specialization in morphometric and periodontal research, and a postgraduate Máster in Implantología y Rehabilitación Oral, complemented by extensive professional training in surgical, prosthetic, and aesthetic techniques. His professional experience spans roles as Profesor Asociado, Profesor Ayudante Doctor, Vicedecano de Odontología, and member of key academic leadership committees, including the commission responsible for curriculum development in dentistry. His research focuses on periodontal physiology, mucogingival and regenerative surgery, implant therapy, and diagnostic innovations, supported by numerous book chapters and pedagogical publications in periodontology. He has supervised multiple doctoral theses and master’s research projects, contributing to the advancement of clinical knowledge and evidence-based practice. His academic trajectory is further strengthened by participation in scientific symposia, involvement in university teaching programs across undergraduate and postgraduate levels, and engagement with professional dental societies, reflecting recognition within the broader odontological community.

Profile:  ORCID

Featured Publications

Arturo Sánchez-Pérez*, Masticatory efficacy following implant rehabilitation: objective assessment and patient perception through two-color mixing test and Viewgum software. Prosthesis, Accepted.

Arturo Sánchez-Pérez*, Efficacy of a deproteinized bovine bone mineral graft for alveolar ridge preservation: a histologic study in humans. Biomedicines, Accepted.

Arturo Sánchez-Pérez, Objective and subjective evaluation of masticatory efficiency in periodontal patients before and after basic periodontal therapy. Applied Sciences, Accepted.

Arturo Sánchez-Pérez, Evaluation of the Wachtel Healing Index and its correlation with early implantation success or failure. Applied Sciences, Accepted.