Raghavendar | Blockchain Technology | Best Researcher Award

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Raghavendar | Blockchain Technology | Best Researcher Award

Mr. Raghavendar, Teegala Krishna Reddy Engineering College, India.

K. Raghavendar, a dedicated academic with over 7 years of experience (Teaching: 6, Industrial: 1) in Computer Science and IT, is currently an Assistant Professor at Teegala Krishnareddy Engineering College.Ā šŸŽ“Ā He is pursuing a Ph.D. in CSE at Lovely Professional University and holds an M.Tech from Amina Institute of Technology (JNTUH) and a B.Tech from Sree Visvesvaraya Institute of Technology.Ā šŸ“˜Ā His expertise spans Cloud Computing, Blockchain Technology, and Machine Learning. With nine international publications, several patents, and active memberships in professional bodies, he continuously strives to contribute to advancements in technology and education.Ā šŸš€

Publication Profiles

Orcid
Scopus

Education and Experience

EducationĀ šŸŽ“:

  • Ph.D.Ā in Computer Science and Engineering, Lovely Professional University, 2024.
  • M.TechĀ in Computer Science and Engineering, Amina Institute of Technology (JNTUH), 2015.
  • B.TechĀ in IT, Sree Visvesvaraya Institute of Technology & Science (JNTUH), 2012.

ExperienceĀ šŸ§‘ā€šŸ«:

  • Assistant Professor, Teegala Krishnareddy Engineering College, 2023ā€“Present.
  • Assistant Professor, Keshav Memorial Institute of Technology, 2021.
  • Assistant Professor, Avanthiā€™s Scientific Technological and Research Academy, 2016ā€“2020

Suitability For The Award

Mr. K. Raghavendar’s remarkable expertise in Cloud Computing, IoT, Blockchain Technology, and Machine Learning, coupled with 9 international publications, 3 patents, and active memberships in reputed research platforms, positions him as a top contender for the Best Researcher Award. His impactful contributions to academia, extensive teaching experience, and innovative research demonstrate his commitment to advancing technology and knowledge in his field.

Professional Development

K. Raghavendarā€™s professional growth is marked by an impressive portfolio of patents, research contributions, and active memberships in academic platforms like Vidwan, Orcid, and Scopus.Ā šŸ“œĀ His research areas include Cloud Computing, IoT, and Blockchain Technology, highlighted through international book chapters and workshop participation.Ā šŸ”¬Ā Recently, he co-authored “Quantum Machine Learning in Cloud-Based Security Services” and actively engages in enhancing academic projects.Ā šŸŽÆĀ He has participated in workshops like “AI Tools and Advanced Excel” to refine his teaching and research abilities. His commitment to fostering innovation and education sets him apart in the academic community.Ā šŸš€

Research Focus

K. Raghavendar’s research focuses onĀ Cloud Computing,Ā IoT, andĀ Blockchain Technology, aiming to address contemporary challenges in data security and privacy.Ā šŸŒĀ His work includes developing frameworks for secure IoT devices and exploring Machine Learning applications in chronic disease detection and image processing.Ā šŸ¤–Ā With patents like “Blockchain-Based Framework for IoT Privacy” and “Machine Learning Classifier for Chronic Kidney Disease,” he demonstrates his expertise in leveraging cutting-edge technologies for real-world problems.Ā šŸ§ Ā His interdisciplinary approach bridges gaps in computational efficiency, making him a pivotal contributor to technological advancements.Ā šŸ”—

Publication Top Notes

  • “Dynamic RL-ACO: Reinforcement Learning-based Ant Colony Optimization for Load Balancing in Cloud Networks” (2024)Ā šŸ“š
  • “A robust resource allocation model for optimizing data skew and consumption rate in cloud-based IoT environments”Ā (Cited by 22, 2023)Ā šŸ“Š
  • “Novel Framework for Resources Optimization to Solve Class Imbalance Problems” (2021) šŸ’”

 

 

Mr. Abdullah Abualhamayl | Blockchain Applications Awards | Best Researcher Award

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Mr. Abdullah Abualhamayl | Blockchain Applications Awards | Best Researcher Award

Mr. Abdullah Abualhamayl , University of Technology Sydney, Australia

Abdullah Abualhamayl is a seasoned educator and PhD candidate at the University of Technology Sydney, specializing in computer science with a keen interest in Blockchain and Non-Fungible Tokens (NFTs) in real estate management. With over five years of experience as a lecturer at King Abdulaziz University in Jeddah, Saudi Arabia, Abdullah has demonstrated expertise in teaching computer skills to diverse student populations, coordinating courses, and training teaching assistants. He holds a Master of Science in Computer Science from California State University, San Bernardino, and a Bachelor of Science in Computer Science from King Abdulaziz University. Committed to advancing research, Abdullah has contributed to academic publications and serves as a peer reviewer in the blockchain field.

Professional Profile:

Google Scholar

šŸ“š Education:

Abdullah Abualhamayl is a dedicated scholar currently pursuing a Ph.D. in Computer Science at the University of Technology Sydney. His doctoral research focuses on Blockchain and Non-Fungible Tokens (NFTs) in real estate management, with an expected completion date of December 2025. Prior to his Ph.D. studies, Abdullah obtained a Master of Science degree in Computer Science from California State University, San Bernardino, in 2015, where he maintained an impressive GPA of 3.63/4.0. He also holds a Bachelor of Science degree in Computer Science from King Abdulaziz University, graduating with Second Class Honors in 2009 and achieving a GPA of 4.5/5.0. This strong academic background reflects Abdullah’s commitment to advancing his knowledge and expertise in the field of computer science.

šŸ¢ Experience:

Abdullah Abualhamayl is currently pursuing a Ph.D. in Computer Science at the University of Technology Sydney, specializing in Blockchain and Non-Fungible Tokens (NFTs) in real estate management. Expected to complete his doctoral studies by December 2025, Abdullah’s research focuses on exploring the applications and implications of emerging technologies in the real estate industry.

šŸ’¼ Professional Summary:

Abdullah Abualhamayl is an experienced educator with a strong background in computer science. His expertise spans practical and theoretical applications, with a particular focus on data mining, machine learning, and artificial intelligence. Currently engaged in research on Blockchain and NFTs, Abdullah contributes to academic discourse through research publications and peer review activities.

Publication Top Notes:

  1. Differential equation to verify the validity of the model of the whole-person mental health education activity in Universities
    • Published in: Applied Mathematics and Nonlinear Sciences
    • Year: 2021
    • Cited by: 8
    • Summary: This work presents a differential equation to validate the whole-person mental health education model in universities.
  2. Dynamic Nonlinear Differential Investment Decision Model For Scenic Spot System With Uncertainties And Emergencies
    • Published in: Fractals
    • Year: 2022
    • Cited by: 6
    • Summary: The paper proposes a dynamic nonlinear differential investment decision model for scenic spot systems under uncertainties and emergencies.
  3. Towards Fractional NFTs for Joint Ownership and Provenance in Real Estate
    • Published in: 2023 IEEE International Conference on e-Business Engineering (ICEBE)
    • Year: 2023
    • Cited by: 2
    • Summary: This paper explores fractional NFTs for joint ownership and provenance in real estate, presented at ICEBE 2023.
  4. Blockchain for real estate provenance: an infrastructural step toward secure transactions in real estate E-Business
    • Published in: Service Oriented Computing and Applications
    • Year: 2024
    • Summary: The article discusses the use of blockchain for real estate provenance, contributing to secure transactions in e-business.