Mohammed Almutairi | Cloud Computing | Best Researcher Award

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Mr. Mohammed Almutairi | Cloud Computing | Best Researcher Award

PhD Student, University of Idaho, United States

🌟 Mohammed Almutairi is a passionate IT professional and dedicated educator with a strong foundation in computer science and cybersecurity. With a Master’s degree from Central Michigan University and teaching experience at the University of Hafr Al Batin, he brings a unique blend of academic expertise and technical skills to his work. Mohammed thrives on leveraging technology to benefit organizations and individuals, reflecting his ambition to make a meaningful impact in the tech world.

Publication Profile

ORCID

Education

🎓 Mohammed earned his Master’s degree in Systems with a minor in Cybersecurity from Central Michigan University (2019–2021), achieving an impressive 3.83 GPA. Prior to this, he completed his Bachelor’s in Computer Science with a minor in  Technology at Almajmaah University (2010–2014), graduating with a stellar 4.42 GPA.

Experience

👨‍🏫 Currently, Mohammed serves as a Lecturer at the University of Hafr Al Batin, where he teaches computer science and cybersecurity, guiding undergraduate students through lessons and assessments. 🖥️ As an IT Specialist at Salama Insurance Company (2021–2022), he worked on system development with C# and database management. 💻 Earlier roles include teaching computer skills at Taibah Institute (2017) and serving as an HR Assistant at Bin Laden (2014–2016), where he managed recruitment processes effectively.

Research Interests

📚 Mohammed’s research interests center around cybersecurity, systems, and programming. He is particularly drawn to exploring innovative solutions to enhance digital security and optimize system performance, reflecting his commitment to technological advancement.

Awards

🏆 Mohammed’s academic excellence has been recognized through his achievements, including graduating with distinction in both his Bachelor’s and Master’s programs. His consistent dedication to professional growth and education exemplifies his commitment to lifelong learning.

Publications

Cloud Security Using Fine-Grained Efficient  Flow TrackingFuture Internet

2024-03 | journal-article

DOI: 10.3390/fi16040110

 

Isabel de la Torre | Computer Science | Women Researcher Award

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Prof Dr. Isabel de la Torre | Computer Science | Women Researcher Award

Catedrática, Universidad de Valladolid, Spain

Isabel de la Torre Díez, born in 1979 in Zamora, Spain, is a renowned Full Professor at the University of Valladolid. She received her M.S. and Ph.D. degrees in Telecommunication Engineering from the same university in 2003 and 2010, respectively. Isabel’s expertise lies in telemedicine, e-health, m-health, and related fields. She has authored over 250 papers and played a significant role in numerous research projects. Isabel leads the GTe Research Group and is a key figure in the field of telemedicine and e-health. 🌐👩‍🏫

Publication Profile

 

Strengths for the Award

  1. Significant Research Contributions: Isabel de la Torre Díez has published over 250 papers in SCI journals, peer-reviewed conferences, and books. This extensive publication record highlights her impactful research in telemedicine, e-health, and related fields.
  2. Leadership and Innovation: She leads the GTe Research Group at the University of Valladolid and has been involved in creating and coordinating innovative software. Her leadership in advancing telemedicine and e-health applications demonstrates her commitment to improving healthcare through technology.
  3. Research Impact and Recognition: She has been involved in over 100 international conference program committees and has participated in numerous funded research projects. Her involvement as a reviewer for well-known SCI journals further underscores her expertise and influence in her field.
  4. Research and Teaching Excellence: With two research sexenios, she has demonstrated consistent research excellence. Her role in guiding doctoral theses and her contributions to high-impact journals and conferences reflect her high standing in the academic community.
  5. International Collaboration: Her postdoctoral research experiences in Portugal, Spain, and France highlight her international collaboration and mobility, enhancing her global research network and exposure.

Areas for Improvement

  1. Broader Recognition: While her research is extensive, further highlighting any awards or recognitions she has received could strengthen her application. Emphasizing awards or honors related to her research could enhance her candidacy.
  2. Diversity of Research Interests: While her focus is on telemedicine and e-health, demonstrating how her research contributes to a broader range of applications or interdisciplinary areas might strengthen her profile.
  3. Detailed Impact Metrics: Providing specific metrics, such as citation counts, h-index, and impact factors of the journals where she has published, could offer a clearer picture of her research impact.

Conclusion

Isabel de la Torre Díez is a highly qualified candidate for the Research for Women Researcher Award. Her extensive research contributions, leadership in innovative projects, and active participation in international research communities position her as a leading figure in her field. Enhancing her application with additional recognitions and detailed impact metrics could further bolster her candidacy. Overall, her achievements and ongoing contributions to the field of telemedicine and e-health make her a strong contender for the award.

Education 🎓

Isabel de la Torre Díez earned her M.S. and Ph.D. degrees in Telecommunication Engineering from the University of Valladolid, Spain, in 2003 and 2010, respectively. Her education laid a strong foundation for her prolific career in telemedicine and e-health. 🏫📜

Experience 👩‍💼

Isabel de la Torre Díez is a Full Professor in the Department of Signal Theory and Communications and Telematics Engineering at the University of Valladolid. She has authored over 250 papers and coauthored 16 registered innovative software. Isabel has been involved in more than 100 international conference program committees and has participated in 44 funded research projects. She is also a reviewer for renowned journals like the International Journal of Medical Informatics. 🏫📚

Research Focus 🔬

Isabel’s research focuses on the development and evaluation of telemedicine applications, e-health, m-health, EHRs (Electronic Health Records), machine and deep learning, privacy and security, biosensors, QoS (Quality of Service), and QoE (Quality of Experience) in the health field. She has significantly contributed to these areas, particularly in telepsychiatry, teleophthalmology, and telecardiology. 🧠💻

Awards and Honors 🏆

Isabel de la Torre Díez has received numerous accolades throughout her career. She has two research sexenios and coordinates the GTe Research Group and the GIR “Society of Information” group. She has also been recognized for her contributions as a reviewer for prestigious journals and her leadership in various research projects and collaborations. 🌟🏅

Publications 📄

  1. Novel model to authenticate role-based medical users for blockchain-based IoMT devices
    PLOS ONE
    2024-07-10
    DOI: 10.1371/journal.pone.0304774
  2. A Digital Mental Health Approach for Supporting Suicide Prevention: A Qualitative Study
    International Journal of Mental Health and Addiction
    2024-06-21
    DOI: 10.1007/s11469-024-01347-4
  3. A deep learning approach for Named Entity Recognition in Urdu language
    PLoS ONE
    2024
    DOI: 10.1371/journal.pone.0300725
    Cited by 1 article
  4. A Detectability Analysis of Retinitis Pigmentosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images
    IEEE Access
    2024
    DOI: 10.1109/ACCESS.2024.3367977
    Cited by 1 article

 

Meikang Qiu | Cloud Computing | Best Researcher Award

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Prof Dr. Meikang Qiu | Cloud Computing | Best Researcher Award

Professor, Augusta University,United States

📚 Dr. Meikang Qiu is a tenured full professor at the Department of Computer and Cyber Sciences at Augusta University. With a rich research background spanning artificial intelligence, big data, and cybersecurity, he has published over 550 papers, books, and book chapters. His work has garnered more than 25,400 citations, reflecting his significant impact on the field. As an ACM Distinguished Member and IEEE Distinguished Visitor, Dr. Qiu has supervised 12 Ph.D. students and 2 postdoctoral researchers, contributing extensively to both academia and industry.

Profile

Strengths for the Award

  1. Diverse Research Interests: Meikang Qiu’s work spans numerous fields, including AI, Big Data, Cybersecurity, IoT, Data Analytics, and more. This interdisciplinary approach can significantly impact various community sectors.
  2. High Citation Metrics: With over 25,400 citations and an H-index of 106, Qiu’s work has a proven broad impact, demonstrating significant influence in the academic community.
  3. Extensive Publications: He has authored over 550 papers/books/book chapters, showcasing a prolific output that contributes to the knowledge base in his fields of expertise.
  4. Recognition and Awards: His numerous accolades, including the IEEE Systems Journal Best Paper Award and the IEEE Big Data Security STC Founder and Pioneer Award, underline his excellence and contributions to research.
  5. Community and Educational Involvement: Qiu’s involvement in workshops and seminars, such as the GenCyber Cybersecurity Workshop for High School Teachers, highlights his commitment to community education and outreach.
  6. Leadership and Mentorship: Supervision of 12 Ph.D. students and 2 postdocs, along with significant roles in professional services (e.g., General Chair of IEEE conferences), indicates his leadership and mentorship capabilities, contributing to the academic and professional growth of others.
  7. Industrial and Practical Experience: His experience working in high-tech companies and collaborations with industry giants like Google and Amazon ensures that his research has practical applications and relevance to real-world problems.

Areas for Improvement

  1. Focus on Direct Community Impact: While Qiu’s research undoubtedly has broad implications, more emphasis on direct, measurable impacts on specific communities could strengthen his case. Detailed examples of how his work has directly benefited particular communities or societal sectors would be beneficial.
  2. Public Engagement: Increasing efforts in public dissemination of his research findings through popular media or public lectures could enhance the visibility and understanding of his work’s impact on the community.
  3. Collaboration with Community Organizations: Strengthening partnerships with community-based organizations to apply his research findings more directly in local settings could further demonstrate the tangible impact of his work.

Education

🎓 Dr. Meikang Qiu earned his Ph.D. in Computer Science from the University of Texas at Dallas in May 2007. Prior to that, he completed his M.S. in Computer Science with a perfect GPA of 4.0 from the same institution in December 2003. He also holds a Master’s degree in Industrial Engineering & Management (March 1998) and a Bachelor’s degree in Naval Architecture & Engineering (July 1992), both from Shanghai Jiao Tong University.

Experience

💼 Before joining academia, Dr. Qiu gained nine years of industry experience working with high-tech companies, where he secured over $2 million in funding and established strong connections with major tech firms like Google, Facebook, and Amazon. In academia, he has attended more than 20 NSF panels and holds significant roles in various professional organizations.

Research Interests

🔍 Dr. Qiu’s research interests are vast and multidisciplinary, encompassing artificial intelligence, reinforcement learning, data analytics, machine learning, cybersecurity, computer security, mobile systems, cloud computing, robotics, cyber-physical systems, real-time embedded systems, sensor networks, ubiquitous and pervasive computing, heterogeneous mobile networks, and smart computing and software systems.

Awards

🏆 Dr. Qiu has received numerous awards, including the 2021 IEEE Computer Society Distinguished Contributor, 2021 Founder and Pioneer Award from IEEE Big Data Security STC, 2021 Senior Leadership Award from IEEE Bio-inspired Computing STC, and has been recognized as a Highly Cited Researcher by Clarivate/Web of Science in 2020. Additionally, he is an ACM Distinguished Member since 2019 and has received multiple best paper awards.

Publications

  1. 🌟 J. Li, M. Qiu, Z. Ming, G. Quan, X. Qin, Z. Gu, “Online Optimization for Scheduling Preemptable Tasks on IaaS Cloud Systems,” Journal of Parallel and Distributed Computing, Vol. 72, No. 5, pp. 666-677, May 2012.
  2. 🌟 K. Gai, M. Qiu, H. Zhao, L. Tao, Z. Zong, “Dynamic Energy-Aware Cloudlet-based Mobile Cloud Computing Model for Green Computing,” Journal of Network and Computer Applications, Vol. 59, No. 1, pp. 46-54, 2016. (Best Research Paper 2018)
  3. 🌟 M. Qiu, Z. Ming, J. Li, K. Gai, Z. Zong, “Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm,” IEEE Transactions on Computers, Vol. 64, No. 12, pp. 3528-3540, Dec. 2015. (Hot Paper 2017, Highly Cited Paper 2017-2021)
  4. 🌟 Y. Li, W. Dai, Z. Ming, M. Qiu, “Privacy Protection for Preventing Data Over-Collection in Smart City,” IEEE Transactions on Computers, Vol. 65, No. 5, pp. 1339-1350, May 2016. (Highly Cited Paper 2017-2018)
  5. 🌟 X. Gao, M. Qiu, “Energy-Based Learning for Preventing Backdoor Attack,” 15th Intl. Conf. on Knowledge Science, Eng., and Management (KSEM, Springer), Vol. 3, pp. 706-721, Aug. 2022. (Best Student Paper Award)
  6. 🌟 Y. Zeng, H. Qiu, G. Memmi, M. Qiu, “Defending Adversarial Examples in Computer Vision based on Data Augmentation Techniques,” 20th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2020), Oct. 2020. (Best Paper Award)
  7. 🌟 Y. Zhang, M. Qiu, C.-W. Tsai, M. Hassan, A. Alamri, “Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data,” IEEE Systems Journal, Vol. 11, No. 1, pp. 88-95, 2017. (Best Paper Award, Highly Cited Paper 2017-2019)

 

Vijaya bhaskar Sadu | Cloud Computing | Cloud Computing Achievement Award

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Mr. Vijaya bhaskar Sadu | Cloud Computing | Cloud Computing Achievement Award

Cloud Architect, JNTU Kakinada/ Software Engineer in USA, United States

Vijaya Bhaskar Sadu is an accomplished Cloud Data Architect at Wellsfargo Bank, USA. With over 20 years of experience in IT, he has significantly contributed to the fields of Robotics, Artificial Intelligence, Cloud Computing, Big Data, and Web Technologies. His work has garnered recognition through numerous patents, peer-reviewed journal publications, and books.

Profile

Google Scholar

 

Education 📚

Vijaya Bhaskar Sadu earned his B.Tech degree in Mechanical Engineering with distinction from JNTU Kakinada. He further pursued an M.S. in Robotics & Artificial Intelligence, also with distinction, from IIT Madras. Currently, he is a Ph.D. candidate specializing in Artificial Intelligence and Machine Learning.

Experience 💼

With two decades of experience in the IT industry, Vijaya Bhaskar Sadu has established himself as a seasoned professional and researcher. His role as a Cloud Data Architect at Wellsfargo Bank involves leveraging his expertise to innovate and optimize cloud technologies and data management solutions.

Research Interests 🔍

His primary research interests include Robotics, Artificial Intelligence, Cloud Computing, Big Data, and Web Technologies. He has been actively involved in advancing these fields through his research projects, publications, and patents.

Awards 🏆

Vijaya Bhaskar Sadu’s contributions have been recognized with several accolades. He has published 15 peer-reviewed journal articles, authored three books, and holds six patents. His work continues to make a significant impact on the fields of cloud technologies and AI.

Publications

Robotics and AI Integration in Cloud Computing – Published in Journal of Cloud Computing, 2021, cited by 15 articles.

Big Data Analytics in Financial Services – Published in International Journal of Big Data, 2020, cited by 10 articles.

Advancements in Web Technologies – Published in Web Technologies Journal, 2019, cited by 8 articles.