Belal Hamed | Computer Science | Best Researcher Award

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Dr. Belal Hamed | Computer Science | Best Researcher Award

Assistant Lecturer at Department of Computer Science, Faculty of Science, Minia University, Egypt

Belal Ahmed Mohammed Hamed is an Assistant Lecturer at the Department of Computer Science, Faculty of Science, Minia University, and at the Department of Artificial Intelligence, Minia National University, Egypt. He holds a master’s degree in Computer Science, with research expertise in bioinformatics, machine learning, and graph-based disease prediction models. His work focuses on developing advanced algorithms for pattern recognition in DNA sequences and medical data analysis. He has published in Scopus and SCI-indexed journals, and contributed to six research projects, including two funded ones. He also serves as a reviewer for journals such as Scientific Reports and The Journal of Supercomputing. His notable contributions include a high-accuracy Graph Convolutional Network model for Alzheimer’s gene prediction.

Profile:

Academic Background:

Belal holds a Master’s degree in Computer Science. His academic training and research work are rooted in computer science, with a focus on interdisciplinary applications in healthcare and genomics.

Research Areas:

  • Bioinformatics

  • Machine Learning

  • SNP-based Disease Prediction

  • Graph Neural Networks

  • DNA Pattern Matching Algorithms

Research Contributions:

Belal developed a deep learning model that integrates SNP data and Graph Convolutional Networks (GCNs) to predict gene-disease associations, specifically in Alzheimer’s disease. The model achieved 98.04% accuracy and AUROC of 0.996, identifying both known and novel genes. His framework is adaptable for use in other diseases, supporting personalized medicine and clinical research.

Publications & Impact:

  • 4 research papers in SCI/Scopus-indexed journals (Springer Nature, Wiley)

  • Google Scholar Citations: 73

  • h-index: 3

Research & Projects:

  • Participated in 6 research projects, including 2 funded

  • Contributed to 1 industry-academic collaboration in medical data analysis

Editorial Roles:

  • Reviewer for The Journal of Supercomputing, Scientific Reports, and Medical Data Mining Journal

  • Young Scientist – Medical Data Mining Journal

Collaborations:

Active in interdisciplinary research teams, particularly in genomics and artificial intelligence.

Publication Top Notes:

Bahar Oztelcan Gunduz | Medicine and Health Sciences | Best Scholar Award

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Dr. Bahar Oztelcan Gunduz | Medicine and Health Sciences | Best Scholar Award

Gülhane Research and Training Hospital Turkey 

Dr. Bahar Öztelcan Gündüz is a compassionate pediatrician and social health researcher, currently serving at Gülhane Research and Training Hospital. With a PhD in Social Pediatrics from Gazi University and a medical background from Selçuk and Eskişehir Osmangazi Universities, she has dedicated her career to improving child health in underserved communities. Her impactful research during the COVID-19 pandemic on sarcopenic obesity in children has earned wide recognition. She is also an active member of the Social Pediatrics Association, contributing to child welfare through research, clinical care, and advocacy. 🌍👶📚

Profile

Scopus

🎓 Education

Dr. Öztelcan Gündüz holds a PhD in Social Pediatrics from Gazi University, where she honed her skills in public health and research methodology. She specialized in Pediatrics at Eskisehir Osmangazi University and obtained her MD from Selçuk University, Türkiye. Her academic foundation is rooted in both clinical excellence and social medicine, empowering her to address both the biological and social determinants of child health. 🎓🧠

💼 Experience

With extensive field experience, Dr. Öztelcan Gündüz began her medical career as a general practitioner at Şırnak Maternal and Child Health Center, focusing on vulnerable populations. She later served at Mus State Hospital and Gemlik State Hospital as a pediatrician. Currently, she practices at Gülhane Research and Training Hospital, where she also leads multiple research initiatives. Her experience spans clinical practice, public health programs like vaccination drives, and research supervision. 👩‍⚕️🏥🩺

🔬 Research Interests

Dr. Gündüz’s research revolves around pediatric health and public welfare. Her core interests include:

  • Sarcopenic obesity in children
  • Vaccination attitudes and immunization disparities
  • Pediatric infectious diseases
  • Neuropsychiatric conditions in children and adolescents
  • Nutrition and growth patterns in vulnerable populations
  • Cyberbullying and child mental health
  • Early feeding practices and neophobia in children
    Her research blends clinical insight with public health innovation, aiming to inform policy and intervention strategies. 🧪👶🧠

🏆 Awards & Recognitions

Dr. Bahar Öztelcan Gündüz is nominated for the Best Research Scholar Award for her groundbreaking research on sarcopenic obesity in children during the COVID-19 pandemic. Her innovative use of the Grip-to-BMI ratio and muscle-fat ratio (MFR) as diagnostic tools has had a real-world impact on pediatric healthcare and preventive strategies. Her contributions during a global health crisis demonstrate her leadership in pediatric research and her commitment to child welfare. 🏅📊💡

📚 Publications Top Notes: 

Gündüz B, Duyan Çamurdan A, Yıldız M, et al. (2024). Assessing Sarcopenic Obesity Risk in Children During the COVID-19 Pandemic: Grip-to-BMI Ratio. Medical Research Reports.
📖 Cited by 3 articles

Gündüz B, Kutlutürk K, Cengiz M. (2024). Exploring the Impact of Socioeconomic Factors on Special Immunization Rates: A Study in Türkiye.
📖 Cited by 2 articles

Öztelcan Gündüz B, Kutlutürk K, Ünay B. (2025). Rotavirus infections in the pediatric population: a comparative study of pre-COVID and COVID-19 pandemic periods. Frontiers in Public Health.
📖 Cited by 1 article

Dulkadir R, Öztelcan Gündüz B. (2024). Differentiating COVID-19 and influenza in children: hemogram parameters as diagnostic tools. Frontiers in Public Health.
📖 Cited by 2 articles

Tubaş F, Husrevoglu Esen F, Öztelcan Gündüz B, Ünay B. (2022). Youth suicide and hospital-presenting suicide attempts. International Journal of Social Psychiatry.
📖 Cited by 6 articles

Artık A, Işık Ü, Öztelcan Gündüz B, Mızrak S. (2023). Serum Cingulin levels are increased in children with autism spectrum disorder. International Journal of Developmental Disabilities.
📖 Cited by 4 articles

Artık A, Öztelcan Gündüz B, Mızrak S, Işık Ü. (2022). Increased Serum Levels of TNF-like Weak Inducer of Apoptosis in Autism Spectrum Disorder. Int. J. of Developmental Disabilities.
📖 Cited by 5 articles

Gündüz B. (2025). The impact of COVID-19 pandemic on sarcopenic obesity among children between 6 and 10 years of age: a prospective study. European Journal of Pediatrics.
📖 Cited by 7 articles

Quanzeng Liu | Computer Science and Artificial Intelligence | Best Researcher Award

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Mr. Quanzeng Liu | Computer Science and Artificial Intelligence | Best Researcher Award

Member Chinese Association of Automation China

Quanzeng Liu is a dedicated researcher and a CPC member, specializing in intelligent robot technology. Currently holding a Master’s degree in Control Science and Engineering from Anhui University of Technology, he has actively contributed to meta-heuristic algorithms, robot control, and path planning. With five research publications and numerous awards in academic competitions, Quanzeng’s work advances innovative solutions in robotics and automation systems.

Profile

Orcid

Education 🎓

Quanzeng Liu holds a Master’s degree in Control Science and Engineering from Anhui University of Technology, where his focus was on intelligent robot technology. His academic training has provided a robust foundation in control systems and advanced robotics, enabling significant contributions to both theory and practical applications.

Experience 💼

Quanzeng Liu has valuable research experience, participating in three major scientific research projects, including the collaborative innovation project of Anhui Province (GXXT-2023-068) and chairing the postgraduate innovation fund project (2023CX2086) at Anhui University of Technology. His research engagements reflect a strong capability in designing and improving robotic systems, particularly for multi-machine cooperative operations.

Research Interests 🔍

Quanzeng Liu’s primary research areas include meta-heuristic algorithms, robot control, and path planning. His work focuses on improving the performance of intelligent robots, including quadruped robots and weeding robots, as well as optimizing algorithms for visual SLAM and real-world robotic applications.

Awards 🏆

Quanzeng Liu has received five awards in prestigious academic competitions, showcasing his excellence in research and innovative problem-solving. These recognitions underscore his ability to translate complex theories into impactful solutions in robotics and automation.

Publications Top Notes:📚

Quanzeng Liu has published five influential papers in recognized journals and conferences, contributing to advancements in robotics and algorithms.

CMGWO: Grey wolf optimizer for fusion cell-like P systems
Heliyon, 2024. Read here

An Evaluation System for Multi-Machine Cooperative Operation of Weeding Robots Based on Fuzzy Combination Weight
China Automation Congress (CAC), 2024.

Robust visual SLAM algorithm based on target detection and clustering in dynamic scenarios
Frontiers in Neurorobotics, 2024. Read here

A hypergraph cell membrane computing network model for soybean disease identification
Scientific Reports, 2024. Read here

Conclusion ✅

Quanzeng Liu is an exceptional researcher whose work in robotics and intelligent systems contributes to solving complex challenges in automation and control. His innovative approach to meta-heuristic algorithms and robot path planning makes him a highly deserving candidate for the Best Researcher Award. With continued focus on industrial applications and broader collaborations, Quanzeng is poised to make even greater impacts in the future of robotics and automation.

Yan Zhang | Computer Science | Best Researcher Award

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Yan Zhang | Computer Science | Best Researcher Award

Tsinghua University,China

Author Profile

Early Academic Pursuits

Yan Zhang embarked on an academic journey in computer science, which laid a solid foundation for his future endeavors. He pursued his undergraduate studies with a focus on the fundamentals of computer science, which ignited his interest in privacy-preserving technologies and data security. His early academic work was characterized by a keen interest in theoretical aspects of computer science, which later evolved into a practical application in the fields of privacy and data security.

Professional Endeavors

Currently, Yan Zhang is advancing his academic career as a PhD candidate in the Department of Computer Science and Technology at Tsinghua University, one of China's most prestigious institutions. His professional journey is marked by rigorous research and a commitment to addressing complex issues in data privacy and deep learning. Throughout his time at Tsinghua, Yan has been involved in various research projects, collaborating with experts and contributing to significant advancements in his field.

Contributions and Research Focus

Yan Zhang’s research primarily focuses on privacy-preserving techniques, privacy issues in data publishing, and the integration of these areas with deep learning. His work aims to develop methodologies that protect sensitive information while ensuring data utility. Yan has contributed to several high-impact publications and conferences, where he presented innovative solutions for safeguarding privacy in the era of big data. His research addresses critical challenges in maintaining the balance between data accessibility and privacy, a concern increasingly relevant in today's digital world.

Accolades and Recognition

Throughout his academic career, Yan Zhang has received numerous accolades for his contributions to computer science. His research papers have been widely cited, and he has been recognized by his peers for his innovative approaches to privacy-preserving data techniques. Yan’s dedication and excellence in research have earned him various scholarships and awards, highlighting his status as a rising star in his field.

Impact and Influence

Yan Zhang’s work has had a significant impact on the field of computer science, particularly in the areas of privacy and data security. His research has influenced the development of new protocols and systems that enhance privacy-preserving measures in data publishing. By addressing some of the most pressing issues in data security, Yan has not only contributed to academic knowledge but also to practical applications that benefit society at large.

Legacy and Future Contributions

As Yan Zhang continues his research and completes his PhD, his legacy is already taking shape through his contributions to privacy-preserving technologies. His future work is expected to further influence the field, with potential advancements in deep learning applications and data security frameworks. Yan’s ongoing commitment to tackling complex privacy issues will likely lead to groundbreaking innovations that safeguard data privacy in increasingly sophisticated ways.By maintaining a strong focus on the intersection of privacy, data publishing, and deep learning, Yan Zhang is poised to make enduring contributions that will shape the future of computer science and technology. His dedication to research excellence and his innovative mindset ensure that his work will continue to have a profound impact on both academic circles and the broader technological landscape.