Prof. Xiaodi Liu | Cloud model Awards | Best Researcher Award

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Prof. Xiaodi Liu | Cloud model Awards | Best Researcher Award

Prof. Xiaodi Liu, Anhui University of Technology, China

Dr. Xiaodi Liu is a distinguished Professor in the Department of Data Science at the School of Microelectronics & Data Science, Anhui University of Technology. His research interests span across big data, decision analysis, emergency management, complex system modeling, and social networks. Dr. Liu teaches courses such as Decision Analysis, Fuzzy Mathematics, Linear Algebra, and Advanced Mathematics. He has secured multiple prestigious grants, including those from the National Social Science Foundation of China, National Natural Science Foundation of China, and the Humanities and Social Sciences Foundation of the Ministry of Education of China. His dedication to research and teaching significantly contributes to advancements in data science.

Professional Profile:

Orcid
Scopus

šŸŽ“Ā Education

Prof. Xiaodi Liu completed his Ph.D. in Economics and Management at Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, CN, from 2012 to 2015. His research focuses on areas within economics and management, reflecting his commitment to advancing knowledge in these fields.

šŸ‘Øā€šŸ« Employment

Prof. Xiaodi Liu is currently employed at Anhui University of Technology in Ma’anshan, China, where he serves in the School of Mathematics & Physics. His professional focus encompasses research and teaching within the academic realm, contributing to the advancement of mathematical and physical sciences at his institution.

šŸ†Ā Research Interests

Prof. Xiaodi Liu is a dedicated researcher with a diverse array of interests spanning big data, decision analysis, emergency management, complex system modeling, and social networks. With a robust academic background and extensive research experience, Prof. Liu contributes significantly to advancing knowledge in these critical areas, aiming to enhance understanding and improve practices in complex systems and societal challenges.

Publication Top Notes:

  • Title: Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach
    • Year: 2024
    • Cited By: 4
  • Title: Analysis of distance measures in intuitionistic fuzzy set theory: A line integral perspective
    • Year: 2023
    • Cited By: 5
  • Title: A two-stage multi-attribute group consensus model based on distributed linguistic assessment information from the perspective of fairness concern
    • Year: 2023
    • Cited By: 1
  • Title: Two-rank multi-attribute group decision-making with linguistic distribution assessments: An optimization-based integrated approach
    • Year: 2023
    • Cited By: 3
  • Title: Large group decision-making based on interval rough integrated cloud model
    • Year: 2023
    • Cited By: 8

 

 

Mrs. Geetha Rani | Cloud Network Award | Best Researcher Award

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Mrs. Geetha Rani | Cloud Network Award | Best Researcher Award

Mrs. Geetha Rani, Gitam University, India

šŸŒŸ Mrs. Geetha Rani, hailing from Gitam University, India, is a distinguished academic with a Ph.D. in Computer Science and Engineering. Her doctoral thesis, “Ensuring Data Storage Security in Cloud Computing using Cryptographic Mechanisms,” underscores her expertise in the realm of cybersecurity. With an MBA in Human Resources and a plethora of certifications from platforms like NPTEL and Coursera, she continually enriches her knowledge base. Mrs. Geetha Rani’s prowess extends beyond academia; she’s renowned for her contributions to NBA and NAAC criteria work, alongside curriculum supervision for autonomous syllabi. Her career embodies a harmonious blend of teaching, research, and administrative excellence. šŸŽ“

Professional Profile:

Google scholar

Orcid

Educational Background šŸŽ“

  • Ph.D. (Computer Science and Engineering) – Gitam University, Nagandenahalli, Bengaluru (Submitted Thesis: “Ensuring Data Storage Security in Cloud Computing using Cryptographic Mechanisms”)
  • MBA (Human Resources) – Acharya Nagarjuna University, Guntur (2011-2013)

Research and Publications šŸ“

Mrs. Geetha Rani has guided numerous research projects and published articles in international journals and conferences. Her research focuses on data storage security in cloud computing using cryptographic mechanisms.

Certifications šŸ“œ

She has completed various certifications and online courses from platforms like NPTEL and Coursera, enhancing her knowledge and skills in her field.

Achievements and Expertise šŸŒŸ

Mrs. Geetha Rani is well-known for her contributions to NBA and NAAC criteria work and curriculum supervision for autonomous syllabi. She has consistently demonstrated excellence in teaching, research, and academic administration throughout her career.

Publication Top Notes:

  1. Using GitHub and Grafana Tools: Data Visualization (DATA VIZ) in Big Data
    • Published in: Computer Vision and Robotics: Proceedings of CVR 2022
    • Year: 2023
    • Summary: This paper explores the use of GitHub and Grafana tools for data visualization in big data contexts.
  2. A Survey of Recent Cloud Computing Data Security and Privacy Disputes and Defending Strategies
    • Published in: CSCT
    • Year: 2022
    • Summary: This survey addresses recent disputes in cloud computing data security and privacy, along with strategies for defense.
  3. A Practical Approach of Recognizing and Detecting Traffic Signs using Deep Neural Network Model
    • Published in: 2022 Fourth International Conference on Emerging Research in Electronics
    • Year: 2022
    • Summary: The study presents a deep neural network model for recognizing and detecting traffic signs.
  4. To Increase Security and Privacy, the QAES Encryption Algorithm is used for Storage of Data for Cloud Computing
    • Published in: 2022 IEEE 19th India Council International Conference (INDICON)
    • Year: 2022
    • Summary: This paper discusses the use of the QAES encryption algorithm to enhance data security and privacy in cloud computing.
  5. Air Quality Predictor to Reduce Health Risks and Global Warming
    • Published in: 2023 2nd International Conference on Automation, Computing and Renewable
    • Year: 2023
    • Summary: The publication focuses on an air quality predictor aimed at reducing health risks and mitigating global warming effects.