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

 

 

 

 

Mr. Alessandro Ottino | Cloud Networking

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Mr. Alessandro Ottino : Leading Researcher in Cloud Networking

Mr. Alessandro Ottino, University College London, United Kingdom

🎓 Mr. Alessandro Ottino, Currently pursuing a Microsoft-funded Ph.D. at University College London (UCL) in optical systems and technologies for distributed deep learning. Focused on developing innovative optical topologies and technologies to enable effective training of large-scale deep neural networks with over 1 trillion parameters across thousands of accelerators in data centers.

💼 Previously worked as a Post-graduate Teaching Assistant (PGTA) at UCL’s Electrical and Electronic Engineering (EEE) department from January to March 2020-2021. Engaged in teaching undergraduate modules in digital design (FPGA and embedded systems programming), Java, Object-Oriented Programming, and served as a guest lecturer in “Networks and Technologies for Distributed Deep Learning (DDL)” for the “Cloud and Edge Computing” MSc course.

💻 Proficient in various software tools including Vivado, Quartus, Modelsim, Multisim, Lumerical, Alteryx, Tableau, and the Microsoft Office Suite. Passionate about pushing the boundaries of optical systems to enhance the capabilities of deep learning in distributed environments. 🌐🔬

Professional Profiles : 🌐

Scopus

Linkedin

Google Scholar

🏆 Awards : 

🏆 In March 2020, He was honored with the IEEE Best Undergraduate Project in Telecommunications for showcasing excellence and innovation in the field. This recognition underscored her dedication to pushing the boundaries of technology.

🎓 August 2019 brought the prestigious Dean’s List acknowledgment for outstanding academic achievements in the Electrical and Electronic Engineering (EEE) department at UCL. This recognition reflected her commitment to academic excellence and contributions to the field.

🏅 In May 2019, He was awarded the First Cullen Prize for the Best Undergraduate Project in the EEE department at UCL. The project, focusing on “Artificial Intelligence Techniques for FPGA-Driven Interconnects,” highlighted her proficiency in integrating AI with hardware solutions.

🔍 Research Focus:

🌐 Distributed Systems

🌍 Optical Networks

🔬 Machine Learning

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 12 documents indexed in Scopus.
  • 📊 Citations: A total of 19 citations for his publications, reflecting the widespread impact and recognition of Mr. Alessandro Ottino’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 44 📖
    • h-index: 4 📊
    • i10-index: 1 🔍
  • Since 2018:
    • Citations: 44 📖
    • h-index: 4 📊
    • i10-index: 4 🔍

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

Publications ( Top Note ) :

1.  Time-domain learned digital back-propagation

Journal/Conference: 2020 IEEE Workshop on Signal Processing Systems (SiPS)

Published Year: 2020, Cited By: 10

2.  Optimization of 125-m Heterogeneous Multi-Core Fibre Design Using Artificial Intelligence

Journal/Conference: IEEE Journal of Selected Topics in Quantum Electronics

Published Year: 2021, Cited By: 8

3.  Traffic tolerance of nanosecond scheduling on optical circuit switched data center network

Journal/Conference: 2022 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year:2022,  Cited By: 6

4.  Design optimization of uncoupled six-core fibers in standard cladding diameter using artificial intelligence

Journal/Conference: Optical Fiber Communication Conference

Published Year: 2021, Cited By: 4

5.  RAMP: a flat nanosecond optical network and MPI operations for distributed deep learning systems

Journal/Conference: Optical Switching and Networking

Published Year: 2024,Cited By: 3

6.  Design and transmission analysis of trench-assisted multi-core fibre in standard cladding diameter

Journal/Conference: Optics Express

Published Year: 2022,Cited By: 3

7.  Experimental demonstration of learned time-domain digital back-propagation

Journal/Conference: arXiv preprint arXiv:1912.12197

Published Year: 2019,Cited By: 3

8.  Optimal and Low Complexity Control of SOA-Based Optical Switching with Particle Swarm Optimisation

Journal/Conference: European Conference and Exhibition on Optical Communication

Published Year: 2022,Cited By: 2

9.  Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers

Journal/Conference: arXiv preprint arXiv:2008.08034

Published Year: 2020,Cited By: 2

10.  Genetic algorithm optimization of multi-core fibre transmission links based on silicon photonic transceivers

Journal/Conference: 2019 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year: 2019, Cited By: 2