Gaber Hassan | Internet of Things | Best Researcher Award

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Dr. Gaber Hassan | Internet of Things | Best Researcher Award

Dr. Gaber Hassan, Faculty of computers and information, Arish University, Egypt.

Dr. Gaber Hassan Alsayed Ahmed is an esteemed Egyptian academic and researcher in Computer Science, renowned for his work in artificial intelligence, image processing, and biomedical signal analysis. Born in Alakma, Hehia, Sharkia, he is currently a lecturer at the Faculty of Computers and Informatics, Al-Arish University. His professional journey reflects extensive academic engagement across multiple Egyptian institutions. With a career rooted in research, teaching, and program coordination, Dr. Gaber is actively shaping the next generation of technologists. He has authored impactful publications and presented at global conferences, contributing significantly to AI-driven healthcare technologies and intelligent systems.

Publication Profile

Google Scholar

🎓 Education Background

Dr. Gaber earned his Ph.D. in Computer Science from the Faculty of Science, Zagazig University in April 2021, focusing on advanced computational models and data-driven systems. His academic path began with a B.Sc. in Computer Science from the same university in 2007, where he graduated with honors. He later obtained a Master’s degree in Computer Science in April 2014. His solid academic foundation in discrete mathematics, programming, and AI has equipped him with versatile knowledge and practical expertise, supporting a career that integrates research with innovative teaching in areas like deep learning and pattern recognition.

🧑‍🏫 Professional Experience

Dr. Gaber has held diverse teaching and administrative positions since 2010. Currently serving at Al-Arish University, he previously coordinated the computer science program at Obour High Institute and lectured part-time at Suez University. From 2020–2022, he was both Director of the Quality Assurance Unit and lecturer at Sinai University. His earlier roles include assistant lecturer and teaching assistant positions across multiple faculties. Throughout his career, he has taught over 25 computer science and mathematics courses, mentored undergraduate and Ph.D. students, and organized workshops on bioinformatics and emerging technologies in computing.

🏆 Awards and Honors

Dr. Gaber has received multiple awards recognizing his academic and teaching excellence. In 2024, he earned a certificate for presenting two impactful papers at the 2nd ASRIC-OI’ Conference. He has completed elite courses like “Artificial Intelligence for Medicine” from the University of Genoa and AI training from Zewail City. His contributions to workshops, including those at Bibliotheca Alexandrina and Sinai University, have also earned certificates of appreciation. His accolades reflect his commitment to continuous learning and innovation in education, particularly in applying AI in healthcare and engineering domains.

🔬 Research Focus

Dr. Gaber focuses on artificial intelligence, biomedical image processing, signal compression, deep learning, and pattern recognition. His recent work involves detecting video forgeries using CNNs, deepfake identification, and developing intelligent systems for health applications. His contributions integrate advanced algorithms like quaternion and orthogonal moments for bio-signal enhancement. He actively supervises research on topics like deep learning applications and mobile solutions for the visually impaired. His vision blends real-world problem-solving with computational intelligence, making his research both academically rigorous and practically impactful across medicine, security, and smart devices.

📌 Conclusion

In conclusion, Dr. Gaber Hassan Alsayed Ahmed stands as a dedicated academic and researcher shaping the fields of artificial intelligence and computer science education in Egypt. His teaching excellence, innovative research, and interdisciplinary applications set him apart as a leader in modern computing. With a strong publication record and involvement in national and international academic events, Dr. Gaber is committed to leveraging AI for societal advancement. His dynamic career exemplifies the fusion of pedagogy, research, and community service—making him a valuable contributor to the academic and scientific communities.

📚 Publication Top Notes

  1. Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
    🔗 Fractal and Fractional, 2025
    📅 Year: 2025 | Cited by: [4+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  2. Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
    🔗 Fractal and Fractional, 2023
    📅 Year: 2023 | Cited by: [6+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  3. Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
    🔗 IEEE Access, 2023
    📅 Year: 2023 | Cited by: [5+ articles on Google Scholar]
    📘 Journal: IEEE Access

  4. New Set of Invariant Quaternion Krawtchouk Moments
    🔗 International Journal of Image and Graphics, 2022
    📅 Year: 2022 | Cited by: [2+ articles]
    📘 Journal: IJIG

  5. Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
    🔗 IEEE Access, 2020
    📅 Year: 2020 | Cited by: [17+ articles]
    📘 Journal: IEEE Access

  6. Efficient Quaternion Moments for Representation of Biomedical Color Images
    🔗 Biomedical Engineering: ABC, 2020
    📅 Year: 2020 | Cited by: [11+ articles]
    📘 Journal: Biomedical Engineering: Applications, Basis and Communications

  7. Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
    🔗 ESTIJ, 2013
    📅 Year: 2013 | Cited by: [3+ citations]
    📘 Journal: Engineering Science and Technology: An International Journal

  8. Mathematical Modeling and Classification of Viruses from Herpesvirus Family
    🔗 IJCA, 2014
    📅 Year: 2014 | Cited by: [8+ citations]
    📘 Journal: International Journal of Computer Applications

 

Xin Gao | Technology | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Xin Gao | Technology | Best Researcher Award

Professor at Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, China

Dr. Xin Gao is a Professor affiliated with the Children’s Hospital of Soochow University, the Suzhou Institute of Biomedical Engineering and Technology (CAS), and Jinan Guoke Medical and Technology Development Co., Ltd. He earned his Ph.D. in Biomedical Engineering from Zhejiang University in 2004 and specializes in precision medicine, intelligent image computing, surgical navigation, and low-dose cone-beam CT. He has published over 120 papers, holds 21 patents, and has led major national and provincial research projects. Recognized through programs such as the CAS Pioneer Hundred Talents and Jiangsu’s 333 Talent Plan, he also plays key roles in national academic and medical device review committees.

Professional Profile

Orcid

🎓 Education Background

Dr. Xin Gao received his Ph.D. in Biomedical Engineering from Zhejiang University, Hangzhou, China, in 2004. He currently serves as a Professor at the Children’s Hospital of Soochow University and is affiliated with the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, and Jinan Guoke Medical and Technology Development Co., Ltd. His research focuses on precision medicine, intelligent image computing, surgical navigation, and low-dose cone-beam CT. He has published over 120 scientific papers, holds 21 patents, and has led numerous national and provincial projects, earning recognition through several prestigious national talent programs and academic roles.

🏢 Professional Experience

Dr. Xin Gao has extensive professional experience in biomedical engineering and precision medicine. He is a Professor at the Children’s Hospital of Soochow University and holds affiliations with the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, and Jinan Guoke Medical and Technology Development Co., Ltd. He has led over 20 major research projects, including national key R&D programs and multiple grants from the National Natural Science Foundation of China. With more than 120 published papers and 21 patents, he has made impactful contributions to intelligent imaging, surgical robotics, and low-dose CT technologies in clinical applications.

🏆 Awards and Honors

Dr. Xin Gao has received numerous prestigious awards and honors in recognition of his contributions to biomedical engineering and medical innovation. He was named a Taishan Industry Leading Talent by Shandong Province in 2023 and received the Outstanding Tutor Award from the University of Science and Technology of China in 2021. He is a recipient of the Chinese Academy of Sciences’ “Pioneer Hundred Talents Program” and has been selected for both second- and third-level tiers of Jiangsu Province’s “333 High-Level Talent Training Project.” His accolades also include national and provincial recognitions for leadership in research, education, and innovation.

🔬 Research Focus

Dr. Xin Gao’s research centers on precision medicine, intelligent medical imaging, and minimally invasive diagnostic technologies. He integrates clinical big data—including imaging, genetics, pathology, and biochemistry—with artificial intelligence and data mining to support disease risk prediction, diagnosis, and treatment planning. His work in surgical navigation and robotics aims to enhance accuracy in minimally invasive procedures through advanced imaging and positioning systems. Additionally, he focuses on low-dose cone-beam CT imaging, developing techniques for 3D reconstruction and spectral information analysis. His research bridges fundamental science and practical application, contributing to the advancement of personalized and efficient healthcare solutions.

📚 Top Publications with Details

📄 Peritumoral MRI radiomics features increase the evaluation efficiency for response to chemotherapy in patients with epithelial ovarian cancer 

Year: 2024

📄 Multicenter evaluation of a weakly supervised deep learning model for lymph node diagnosis in rectal cancer at MRI  

Year: 2024

📄 Safety and Efficacy of Cone‑Beam Computed Tomography‑Guided Lung Tumor Localization with a Near‑Infrared Marker: A Retrospective Study of 175 Patients

Year: 2022

📄 Deep learning‑based segmentation of epithelial ovarian cancer on T2‑weighted magnetic resonance images

Year: 2023

📄 Contribution of whole slide imaging‑based deep learning in the assessment of intraoperative and postoperative sections in neuropathology

Year: 2023

📌 Conclusion

Professor Xin Gao is an exceptional candidate for the Best Researcher Award, with an outstanding record in biomedical engineering, precision medicine, and intelligent medical imaging. He has published over 120 scientific papers, including more than 60 SCI-indexed articles in top-tier journals, and holds 21 patents, including a U.S. patent. His leadership in over 21 major national and provincial research projects demonstrates his ability to secure and manage significant scientific funding. Recognized through honors such as the Taishan Industry Leading Talent and CAS Pioneer Hundred Talents Program, he also holds key academic and regulatory roles. His work bridges fundamental research and clinical application, making a substantial impact on healthcare innovation and education.

 

Obsa Gilo Wakuma | Computer Science | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Obsa Gilo Wakuma | Computer Science | Best Researcher Award

Ass. Prof, Wallaga University, Ethiopia

Dr. Obsa Gilo Wakuma is a dedicated computer scientist specializing in deep learning and domain adaptation. With extensive experience in academia, he has contributed significantly to the field through his research and teaching. Dr. Obsa has held various positions at Wallaga University, Ethiopia, and currently serves as a research scholar at the Indian Institute of Technology Patna, India. His expertise spans multiple programming languages and database management systems, making him a versatile and valuable contributor to the field of computer science.

Profile

Strengths for the Award:

  1. Extensive Research Background: Dr. Obsa Gilo has a robust academic background, culminating in a Ph.D. in Computer Science and Engineering with a focus on deep learning approaches for efficient domain adaptation. His research in domain adaptation, particularly in sensor data and image classification, showcases his innovative contributions to the field.
  2. Publications: Dr. Gilo has a significant number of publications in reputed journals and conference proceedings. Notable among them are:
    • “Kernel bures metric for domain adaptation in sensor data” in Expert System with Applications (2024)
    • “Subdomain adaptation via correlation alignment with entropy minimization for unsupervised domain adaptation” in Pattern Analysis and Applications (2024)
    • “Rdaot: Robust unsupervised deep sub-domain adaptation through optimal transport for image classification” in IEEE Access (2023)
  3. Teaching and Mentoring: His employment history includes roles such as Lecturer and Graduate Assistant at Wallaga University, demonstrating his commitment to education and mentoring the next generation of scholars.
  4. Skills and Competencies: Dr. Gilo possesses strong technical skills in various programming languages, databases, and web development technologies, along with proficiency in English, Afaan Oromoo, and Amharic. This multilingual ability enhances his capacity to engage with diverse communities.
  5. Community Service: His experience includes academic research, teaching, training, consultation, and community service, reflecting a well-rounded professional dedicated to both academic and societal contributions.

Areas for Improvement:

  1. Practical Community Impact: While Dr. Gilo has an impressive academic and research portfolio, there could be more emphasis on the practical application of his research directly benefiting local communities. Highlighting specific projects or initiatives where his work has directly impacted community development would strengthen his case.
  2. Collaboration with Local Institutions: Greater collaboration with local institutions and involvement in projects addressing community-specific issues could further enhance his profile. Establishing partnerships with local universities, NGOs, or governmental bodies to implement his research findings in real-world settings would be beneficial.
  3. Visibility and Outreach: Increasing the visibility of his work through public lectures, community workshops, or outreach programs can help in demonstrating the broader societal impact of his research. Engaging with the community through these platforms can showcase the practical benefits of his research.

 

Education: 🎓

Dr. Obsa Gilo Wakuma holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, with a thesis on “Deep Learning Approaches for Efficient Domain Adaptation.” He earned his M.Sc. in Computer Science from Wallaga University, where he developed an Information Extraction Model for Afaan Oromo news texts. Dr. Obsa also holds a B.Sc. in Computer Science from Wallaga University and has a strong foundation from Sibu Sire Preparatory and High School.

Experience: 💼

Dr. Obsa’s professional journey includes roles such as Recorder and Laboratory Technician at Wallaga University. He progressed to become a Graduate Assistant, Lecturer, and finally a Research Scholar at IIT Patna. His career reflects a blend of administrative, technical, and academic responsibilities, showcasing his diverse skill set and commitment to the field.

Research Interests: 🔍

Dr. Obsa’s research interests lie in deep learning, domain adaptation, and unsupervised learning. He has focused on developing efficient methods for domain adaptation in sensor data and image classification, contributing to several high-impact publications. His work aims to enhance the applicability and robustness of machine learning models in diverse environments.

Awards: 🏆

Dr. Obsa has been recognized for his academic excellence and research contributions throughout his career. He has received accolades for his innovative work in domain adaptation and deep learning, highlighting his role as a prominent researcher in the field of computer science.

Publications

  1. Unsupervised Sub-Domain Adaptation Using Optimal Transport. Journal of Visual Communication and Image Representation, 94, 103857. Cited by: 1 article.
  2. Kernel Bures Metric for Domain Adaptation in Sensor Data. Expert System with Applications, 255(Part C), 124725. Cited by: 1 article.
  3. Subdomain Adaptation via Correlation Alignment with Entropy Minimization for Unsupervised Domain Adaptation. Pattern Analysis and Applications, 27(1), 13. Cited by: 1 article.
  4. RDAOT: Robust Unsupervised Deep Sub-Domain Adaptation through Optimal Transport for Image Classification. IEEE Access. Cited by: 1 article.
  5. Integration of Discriminate Features and Similarity Preserving for Unsupervised Domain Adaptation. In 2022 IEEE 19th India Council International Conference (INDICON), pp. 1–6. Cited by: 1 article.