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

🌟 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. 🎓

Professional Profile:

Google scholar

Orcid

Educational Background 🎓

  • 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 📝

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 📜

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 🌟

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.

 

 

 

 

 

Prof Dr. Zhuzhong Qian | Cloud Networking | Best Researcher Award

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Prof Dr. Zhuzhong Qian | Cloud Networking | Best Researcher Award

Prof Dr. Zhuzhong Qian, Nanjing University, China

Dr. Zhuzhong Qian stands as a distinguished professor at the Department of Computer Science, Nanjing University, contributing significantly to the realm of computer science. 🎓 As a member of the National Key Laboratory of Software New Technology and deputy director of the Network and Distributed Computing Committee of the Jiangsu Computer Society, he plays a pivotal role in advancing research and collaboration. 🌐 Driven by a commitment to excellence, he was selected for Jiangsu Province’s 333 High-level Talent Training Program and conducted impactful research visits in Japan and Canada in 2008 and 2009, respectively. 🌍 Dr. Qian’s leadership extends to various research projects, funded by esteemed entities like the National Natural Science Foundation and Ministry of Education-China Mobile Science Research Fund, showcasing his prowess in securing and executing critical initiatives. 💡 His extensive involvement in national and provincial scientific research projects, coupled with industry collaborations with giants like Huawei and Tencent, underscores his influence in bridging academia and industry. 🤝 Dr. Qian’s prolific research, with over 100 papers published in prestigious journals and conferences, has earned him several best paper awards and nominations. 🏆 His impact on student development is evident through the recognition of his doctoral students in the 2015 ACM China Outstanding Doctoral Dissertation Award and undergraduate students receiving the 2017 Jiangsu Province Outstanding Graduation Thesis First Prize. 👨‍🏫🔬

🎓 Education :

Dr. Zhuzhong Qian is a distinguished individual with a Ph.D. degree in computer science from Nanjing University (NJU), earned in 2007. 🎓 His academic journey reflects a commitment to excellence and a passion for advancing the field of computer science. Dr. Qian’s expertise undoubtedly contributes to the ever-evolving landscape of technology, making him a noteworthy figure in the realm of academia. 👨‍💻🔍

🌐 Professional Profiles :

Scopus

Google Scholar

💻 Teaching :

Dr. Zhuzhong Qian’s dedication to education is evident through the diverse range of courses he has taught, showcasing his expertise in computer science. 📚 Over the years, he has guided students through courses such as Algorithms Design and Analysis, demonstrating his commitment to fostering a deep understanding of complex computational concepts. 💻 His involvement in the Elite Program of Computer Science since 2011, teaching Problem Solving, reflects a commitment to nurturing the intellectual growth of aspiring computer scientists. 🌐 Additionally, Dr. Qian’s recent contributions include courses like Distributed Systems and Computational Thinking in the fall of 2021, demonstrating his adaptability in addressing contemporary challenges in the field. 🚀 Despite the NJU Online Judge being under maintenance, it underscores his engagement in practical platforms for hands-on learning. 🛠️ Dr. Zhuzhong Qian’s teaching portfolio reflects not only his comprehensive knowledge but also his passion for shaping the next generation of computer science professionals. 👨‍🏫

🧠Research Interests 🔬🌐 :

Dr. Zhuzhong Qian’s research interests revolve around cutting-edge domains, with a focus on Distributed Systems, Cloud Computing, and Edge Computing. 🌐 His exploration of Distributed Systems delves into the intricacies of networked computing, aiming to enhance the efficiency and reliability of interconnected systems. ☁️ In the realm of Cloud Computing, Dr. Qian contributes to the evolution of scalable and accessible computing resources, optimizing the utilization of cloud-based technologies. 🚀 Furthermore, his interest in Edge Computing reflects a commitment to pushing the boundaries of computation, bringing processing closer to data sources for improved real-time responsiveness. 🌟 Dr. Zhuzhong Qian’s research endeavors not only align with the forefront of technological advancements but also hold the promise of shaping the future landscape of distributed and decentralized computing systems. 👨‍💻

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 169 documents indexed in Scopus.
  • 📊 Citations: A total of 1,785 citations for his publications, reflecting the widespread impact and recognition of Dr. Zhuzhong Qian’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 2628 📖
    • h-index: 25  📊
    • i10-index: 60 🔍
  • Since 2018:
    • Citations: 1476 📖
    • h-index: 21 📊
    • i10-index: 35 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes  :

1.  Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center

Journal: Mathematical and Computer Modelling, 2013

Cited by: 238

2.  Joint configuration adaptation and bandwidth allocation for edge-based real-time video analytics

Journal: IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2020

Cited by: 147

3.  Virtual network embedding with opportunistic resource sharing

Journal: IEEE Transactions on Parallel and Distributed Systems, 2013

Cited by: 133

4.  An opportunistic resource sharing and topology-aware mapping framework for virtual networks

Journal: 2012 Proceedings IEEE INFOCOM

Cited by: 113

5.  P3: Joint optimization of charger placement and power allocation for wireless power transfer

Journal: 2015 IEEE Conference on Computer Communications (INFOCOM)

Cited by: 101