Abdelaaziz El Ansari | Electronics | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Abdelaaziz El Ansari | Electronics | Best Researcher Award

Research Scientist | Sidi Mohamed Ben Abdellah University | Morocco

Dr. Abdelaaziz El Ansari is a Moroccan researcher and academic specializing in physics, electronics, and telecommunications. With a strong background in antenna design, signal processing, and advanced telecommunication systems, he has contributed significantly to research in terahertz spectrum applications, RFID technologies, and microwave devices. His academic and professional journey combines both teaching and research, allowing him to guide students and supervise projects across multiple scientific domains. He is actively involved in international collaborations, serves as a reviewer for reputed journals, and has been recognized for his contributions through publications, patents, and participation in prestigious conferences.

Publication Profile

Scopus

ORCID

Education Background

He pursued advanced studies in physics, electronics, computer science, and telecommunications, progressively achieving a strong academic foundation. His education journey includes qualifications in experimental sciences, physics and chemistry, electronics, microwave devices, and telecommunications. This multidisciplinary training enabled him to bridge theoretical concepts with practical applications in areas such as antenna systems, signal transmission, electromagnetic characterization, and digital communication technologies. His academic path reflects a consistent dedication to scientific exploration, with training not only in physical and engineering sciences but also in languages and pedagogy, ensuring a holistic and versatile professional profile.

Professional Experience

He has served as an educator and researcher, delivering lectures, tutorials, and laboratory supervision in electronics, antennas, electromagnetism, optics, and telecommunications. His professional experience spans across higher education institutions, where he has contributed to the academic development of engineering and science students. Alongside teaching, he has supervised internships, guided antenna design projects, and participated in research collaborations. He is actively engaged in reviewing scholarly works for international journals and conferences, as well as taking part in editorial responsibilities. His career demonstrates a blend of academic teaching, research innovation, and international collaboration within the scientific community.

Awards and Honors

He has earned recognition through his appointment as guest editor and reviewer for high-impact international journals. His active role in coordinating special issues highlights his leadership in research dissemination. In addition, his scientific contributions have been acknowledged with patents, conference invitations, and book chapter publications. These achievements underscore his commitment to advancing knowledge in electronics, telecommunications, and antenna technologies. His honors also extend to participation in global conferences, where he has shared innovative ideas and fostered collaborations with fellow scientists. His recognitions collectively reflect both the quality and impact of his scholarly contributions.

Research Focus

His research focuses on the design, development, and optimization of advanced antenna systems, including broadband, phased array, circularly polarized, and terahertz antennas. He explores cutting-edge materials such as graphene for high-frequency applications, addressing challenges in bandwidth, isolation, and performance. His interests extend to RFID technologies, microwave devices, optical encryption, and wireless communication systems. Alongside technical design, his work emphasizes simulation, modeling, and experimental validation. He also investigates educational methodologies in physics and ICT integration, reflecting his dual interest in technological innovation and pedagogical advancement. His interdisciplinary research contributes to emerging trends in wireless and telecommunication technologies.

Publications Top Notes

  1. A single-fed, left-handed circularly polarized array antenna with fractal graphene slots and SiO2 dielectric substrate for terahertz applications
    Published Year: 2025
    Citation: 1

  2. Recent Advances in Graphene-Based Terahertz Microstrip Antennas: A Technical Review of Substrate Choices and Emerging Challenges
    Published Year: 2025
    Citation: 1

  3. Conception and Realization of a Wideband Directional Dual-Beam Phased MIMO Array Antenna with Hybrid Coupler for ISM Band Utilizations
    Published Year: 2025
    Citation: 2

  4. Conception and Fabrication of a New Steerable Microstrip Antenna for ISM Band Applications
    Published Year: 2025
    Citation: 1

  5. A Circularly Polarized Graphene based Wideband 1×2 Array Antenna for Terahertz Spectrum Applications
    Published Year: 2024
    Citation: 3

Conclusion

Dr. Abdelaaziz El Ansari stands out as a dedicated researcher and educator who integrates academic teaching with high-level research in electronics and telecommunications. His work bridges theory and application, focusing on next-generation antenna technologies and wireless communication systems. Recognized through patents, publications, and editorial contributions, he continues to play an active role in shaping the future of telecommunication research. His holistic profile, combining education, professional experience, and research leadership, makes him a strong contributor to both academia and applied science. His career reflects a balance of innovation, knowledge dissemination, and dedication to scientific excellence.

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.

 

Mr. Md Tanvir rahman Tarafder | Information Technology | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Md Tanvir rahman Tarafder | Information Technology  | Best Researcher Award

Data analysis, Westcliff university, United States

Tanvir Rahman Tarafder is a passionate and results-driven cloud computing professional with a strong foundation in software development and IT solutions. With expertise in AWS services, including EC2, S3, Lambda, and RDS, he thrives in building scalable and efficient cloud-based architectures. His journey from a Computer Science graduate to a cloud enthusiast reflects his commitment to innovation and problem-solving. Beyond his technical expertise, Tanvir is a team player and excellent communicator, always eager to explore new technological advancements and contribute to impactful projects.

Publication Profile

Google Scholar

Academic Background 🎓

Tanvir is currently pursuing a Master’s in Information Technology (Cloud Computing) at Westcliff University, USA, maintaining an impressive CGPA of 3.96 (expected 2025). He earned his Bachelor of Science in Computer Science & Engineering from American International University-Bangladesh (AIUB) with a CGPA of 3.23 (2018-2021). His strong academic performance is complemented by a solid foundation in programming, databases, and cloud infrastructure. His early education includes a Higher Secondary Certificate from Dhaka City College and a Secondary School Certificate from Bogura Cantonment Public School & College, where he excelled with top grades.

Professional Experience 💼

Tanvir has gained diverse industry experience in various technical and consultancy roles. As an IT Officer at SM Fintech Technologies Ltd., he managed website maintenance, configured email servers, reviewed vendor contracts, and coordinated IT purchases to optimize business operations. His passion for academia led him to work as a Teaching Assistant at AIUB, where he supported students in Computer Graphics courses. Additionally, his role as an International Student Consultant at Revolution Student Consultancy allowed him to guide over 50 students in securing admissions to American universities. His expertise spans cloud computing, software development, and IT consultancy, making him a versatile professional.

Awards and Honors 🏆

Tanvir has demonstrated his technical excellence through multiple industry-recognized certifications. He holds the AWS Certified Solutions Architect Associate (Valid till 2030) and AWS Certified Cloud Practitioner (Valid till 2029), showcasing his deep expertise in cloud computing. Additionally, he has earned certifications in Python programming and front-end web development from prestigious platforms. These achievements highlight his continuous learning mindset and dedication to staying ahead in the tech industry.

Research Focus 🔬

Tanvir’s research focuses on leveraging Artificial Intelligence (AI) and Machine Learning (ML) in cloud computing, predictive analytics, and smart systems. His work includes forecasting Electric Vehicle adoption, AI-driven smart grid optimization, and transformative AI applications in healthcare. His passion for exploring AI’s role in solving real-world problems reflects his commitment to advancing technology for societal benefits. He has contributed to multiple peer-reviewed publications, addressing challenges in water quality analysis, synthetic e-commerce data insights, and medical imaging advancements.

Conclusion 🌟

With a strong technical foundation, hands-on cloud computing experience, and a keen research interest in AI-driven solutions, Tanvir Rahman Tarafder stands out as a forward-thinking innovator in the field of cloud technology and AI. His ability to bridge academic knowledge with practical applications makes him a valuable asset in any technology-driven organization. His continuous pursuit of excellence and eagerness to contribute to groundbreaking research and development mark him as a promising professional in the ever-evolving tech landscape.

Top Publications 📚

Forecasting Electric Vehicle Adoption in the USA Using Machine Learning Models
Published in: Journal of Computer Science and Technology Studies (2024)
Cited by: 12 articles

Discoverable Hidden Patterns in Water Quality through AI, LLMs, and Transparent Remote SensingPublished in: 2024 17th International Conference on Security of Information and Networks (2024)
Cited by: 9 articles

Integrating Transformative AI for Next-Level Predictive Analytics in Healthcare
Published in: IEEE Conference on Engineering Informatics (ICEI) (2024)
Cited by: 9 articles

Optimizing Load Forecasting in Smart Grids with AI-Driven Solutions
Published in: IEEE International Conference on Data and Software Engineering (ICoDSE) (2024)
Cited by: 7 articles

A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging
Published in: Diagnostics Journal (2025)
Cited by: (Pending)

Leveraging Machine Learning for Insights and Predictions in Synthetic E-commerce Data in the USA: A Comprehensive Analysis
Published in: (Journal details pending)
Cited by: (Pending)