Mr. Xiangzhi Mo | Scheduling | Best Researcher Award

Mr. Xiangzhi Mo | Scheduling | Best Researcher Award

Mr. Xiangzhi Mo, Shenzhen University, China

πŸŽ“ Mr. Xiangzhi Mo embarked on an academic journey at Lingnan Normal University from September 2017 to June 2021, specializing in Logistics Management. There, he mastered the intricacies of resource allocation and supply chain dynamics. Building upon this foundation, he pursued Applied Economics at Shenzhen University from September 2021 to June 2024, developing a diverse skill set and a keen insight into the symbiotic relationship between economic principles and logistical strategies. 🌐 As a skilled researcher, Mr. Mo excels in Python programming, data analysis, and visualization, with expertise in SPSS for statistical analysis. 🐍 His proficiency extends to optimization tools like GUROBI and CPLEX, applied in supply chain optimization and resource allocation projects. πŸ† Recognized for his exceptional achievements, he earned awards such as the Third Prize in the 7th National Logistics Management Competition and the Second Prize in the Greater Bay Area Cup Financial Mathematical Modeling Competition. πŸ… Mr. Mo’s research interests focus on energy-constrained dietary supplement scheduling, showcasing his commitment to advancing scheduling and nutrition fields through innovative solutions. πŸ‘¨β€πŸ«

πŸŽ“Β Education :

Mr. Xiangzhi Mo embarked on a journey of academic excellence from September 2017 to June 2021 at Lingnan Normal University, where he honed his expertise in Logistics Management, mastering the intricacies of efficient resource allocation and supply chain dynamics πŸ“¦πŸŒ. Building upon this foundation, he continued his pursuit of knowledge at Shenzhen University from September 2021 to June 2024, delving into the complexities of Applied Economics. Throughout this transformative educational odyssey, Mr. Mo not only acquired a diverse skill set but also developed a keen insight into the symbiotic relationship between economic principles and logistical strategies, poised to make significant contributions to these fields in the future. πŸ“ˆπŸ’‘

🌐 Professional Profiles :

ORCID

Research Skills :

Mr. Xiangzhi Mo is a skilled researcher with expertise in various domains. 🌐 He is proficient in Python programming, showcasing a mastery of data analysis, processing, and visualization through extensive project experience. 🐍 His proficiency extends to SPSS, where he excels in data cleaning and statistical analysis. πŸ“Š Moreover, Mr. Mo is adept at utilizing optimization tools like GUROBI and CPLEX, demonstrating a wealth of project experience in supply chain optimization, production planning, and resource allocation. πŸ”„ His ability to establish models for solving mathematical practical problems sets him apart in the field. 🧠

πŸ† Awards :

Mr. Xiangzhi Mo stands out as an accomplished individual, adorned with a collection of prestigious awards highlighting his exceptional achievements. πŸ† In the 7th National Logistics Management Competition, he clinched the Third Prize, showcasing his prowess in logistics. 🌐 His intellectual contributions were further recognized with the Excellent Paper Award at the 5th Academic Conference on Intelligent Manufacturing System Engineering. πŸ“ Mr. Mo’s analytical skills were celebrated in the Third Greater Bay Area Cup Guangdong Hong Kong Macao Financial Mathematical Modeling Competition, where he secured the Second Prize. πŸ’‘πŸ“ˆ His academic excellence was acknowledged with the 2023 Chinese National Scholarship, a testament to his scholarly dedication. πŸŽ“ Additionally, he received the 2023 Guangdong Logistics and Supply Chain Society Science and Technology Innovation Application Award, highlighting his impactful contributions to the field. πŸš€πŸ…

🧠Research Interests πŸ”¬πŸŒ :

Mr. Xiangzhi Mo’s research interests delve into the fascinating realms of scheduling and optimization, with a specific focus on energy-constrained dietary supplement scheduling. πŸ—“οΈπŸ’‘ His passion lies in crafting efficient and resourceful solutions, exploring the intersection of scheduling algorithms and the nuanced demands of dietary supplement production within energy constraints. πŸŒΏβš™οΈ Mr. Mo’s dedication to optimizing these processes reflects a commitment to advancing both the fields of scheduling and nutrition, promising innovative approaches to enhance productivity and resource utilization in this specialized domain. πŸ”„

Publications Top NotesΒ  :

Data-driven optimization for energy-constrained dietary supplement scheduling: A bounded cut MP-DQN approach

Journal : Computers & Industrial Engineering

Published Year : 2024

 

 

 

 

 

Dr. Mingtao Ji | Scheduling | Best Researcher Award

Dr. Mingtao Ji | Scheduling | Best Researcher Award

Dr. Mingtao Ji, Nanjing University, China

πŸŽ“ Dr. Mingtao Ji, a distinguished computer scientist, holds a Ph.D. in Distributed Computing from Nanjing University, guided by Prof. Zhuzhong Qian and Prof. Baoliu Ye. Currently pursuing his doctoral studies, he has already earned acclaim, securing the Best Paper Award at BigCom 2023. Prior, he obtained a Master’s degree with a First Prize Graduate Scholarship and excelled in his Bachelor’s at Nanjing University of Aeronautics and Astronautics. πŸ† His impressive accolades include the Graduate First Class Scholarship, The Excellent Prize at the Intel 2022 P4 China Hackathon, and recognition as the Outstanding Student Cadre of Nanjing University. 🌐 Dr. Ji’s research, funded by the Natural Science Foundation of China, delves into cloud-based fusion and edge computing, with impactful contributions to the State Grid Technology Project. πŸš€ As a meticulous Journal/Conference Reviewer and Course Assistant, he exemplifies a commitment to shaping scholarly landscapes and nurturing future talents. 🌟

πŸŽ“Β Education :

Dr. Mingtao Ji is a highly accomplished individual with a strong background in computer science and technology. He earned his Ph.D. from Nanjing University, specializing in Distributed Computing under the guidance of Prof. Zhuzhong Qian and Prof. Baoliu Ye. Currently pursuing his doctoral studies since September 2021, he has already achieved notable recognition, winning the Best Paper Award at BigCom 2023. Prior to his Ph.D., Dr. Ji obtained his Master’s degree at Nanjing University, receiving guidance from Prof. Zhuzhong Qian and earning a First Prize Graduate Scholarship. His academic journey began with a Bachelor’s degree in Computer Science and Technology from Nanjing University of Aeronautics and Astronautics, where he excelled by ranking 3rd in the Qualification Examination for Undergraduate Students. Dr. Ji’s dedication to his field and consistent academic success showcase his commitment to excellence. πŸŽ“πŸ’»πŸ†

🌐 Professional Profiles :

Scopus

ORCID

Google Scholar

πŸ† Awards and Honor :

Dr. Mingtao Ji is a distinguished scholar with a string of notable honors and awards highlighting his exceptional achievements. In the realm of academia, his groundbreaking work earned him the prestigious Best Paper Award at the 7th International Conference on Big Data Computing and Communications in Hainan, China, in 2023. Additionally, his commitment to excellence was recognized with the Graduate First Class Scholarship in 2022 and The Excellent Prize at the Intel 2022 P4 China Hackathon in Beijing. Beyond academic prowess, Dr. Ji’s leadership qualities were acknowledged as he was named the Outstanding Student Cadre of Nanjing University in 2021. His journey has been marked by consistent success, from earning a Postgraduate Qualification without Entrance Examination in 2018 to receiving the National Inspirational Scholarship in 2017. Notably, he was recognized as one of the Top 100 Young Students in NUAA and received the May Fourth Excellent Evaluation in 2015. Dr. Ji’s impressive array of awards reflects his dedication to both academic and extracurricular excellence. πŸ†πŸ“šπŸŒŸ

πŸ“š Experiences :

Dr. Mingtao Ji’s professional journey is enriched with diverse experiences and impactful contributions. Engaged in the Natural Science Foundation of China (NSFC) Project, his research focuses on the intricate realm of cloud-based fusion utilizing edge computing, a project funded under the grant 61832005. Furthermore, his involvement in the State Grid Technology Project showcases his commitment to advancing key technologies for collaborative operation and intelligent maintenance across multiple data centers.

In the realm of academia, Dr. Ji extends his expertise as a diligent Journal/Conference Reviewer for prestigious events such as INFOCOM, JCST, TMC, CN, MASS, and ToN, underscoring his dedication to shaping the scholarly landscape. Additionally, he serves as a Course Assistant for various courses, including Distributed Systems, Computational Thinking, and Problem Solving, contributing to the education and mentorship of students under the guidance of esteemed professors. Dr. Ji’s multifaceted experiences reflect his commitment to cutting-edge research, collaborative projects, and the cultivation of future talents. πŸŒπŸ”πŸ“š

πŸ” Research Interest :

Dr. Mingtao Ji is a dedicated researcher with a keen focus on scheduling and in-band network telemetry. His passion lies in optimizing the allocation of resources and enhancing network performance through advanced scheduling algorithms. πŸ•’πŸŒ With a specialized interest in in-band network telemetry, Dr. Ji explores innovative ways to gather real-time data within the network infrastructure, contributing to a deeper understanding and efficient management of network operations. πŸ“ŠπŸ” His work not only propels the field forward but also promises to pave the way for more resilient and responsive networking systems. πŸš€πŸ”§

Scopus Metrics:

  • πŸ“Β Publications: 12 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 06 citations for his publications, reflecting the widespread impact and recognition of Dr. Mingtao Ji’s research within the academic community.

Publications Top NotesΒ  :

1.Β  Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning

Published: IEEE/ACM Transactions on Networking, 2023
Cited by: 5 in 2023

2.Β  Adaptive Provisioning In-band Network Telemetry at Computing Power Network

Published: 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)
Cited by: 2 in 2023

3.Β  Workload-Aware Scheduling for Data Analytics upon Heterogeneous Storage

Published: 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications
Cited by: 2 in 2019

4.Β  INTView: Adaptive Planner for In-Band Network Telemetry without Detours

Published: ICC 2023-IEEE International Conference on Communications, 2023
Cited by: 1 in 2023

5.Β  An energy-efficient task scheduling for a cloud-edge system

Published: Journal of Physics: Conference Series 2425 (1), 2023
Cited by: 1 in 2023