Mussa A. Stephano | Artificial Neural Networks for Optimization | Research Excellence Award

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Dr. Mussa A. Stephano | Artificial Neural Networks for Optimization | Research Excellence Award

Mkwawa University College of Education | Tanzania

Dr. Mussa A. Stephano is an emerging researcher in mathematical epidemiology and computational modeling, with a strong focus on infectious disease dynamics and complex biological systems. His scholarly contributions include 13 published documents with a total of 61 citations, reflecting growing academic impact, and an h-index of 5. His research primarily explores lymphatic filariasis modeling, incorporating deterministic and stochastic approaches, seasonal variability, and the role of asymptomatic carriers in disease transmission. He has also applied advanced computational techniques such as artificial neural networks and the Levenberg–Marquardt algorithm to enhance predictive modeling. Additionally, his work extends to prey–predator dynamics and zoonotic diseases, demonstrating interdisciplinary relevance. Through publications in reputed journals, his research contributes to improving disease control strategies and advancing the understanding of epidemiological systems using mathematical and computational frameworks.

Citation Metrics (Scopus)

80

60

40

20

0

Citations
61

h-index
5

Documents
13

Citations

h-index

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Featured Publications

Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

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Prof. Dr. Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

CESNET | Czech Republic

Prof. Dr. Rami Ahmad El-Nabulsi is a highly prolific researcher with significant contributions across theoretical physics, applied mathematics, quantitative finance, and complex systems. His work spans advanced topics such as fractional calculus, quantum mechanics, Hamiltonian dynamics, fractal systems, and financial modeling, often integrating interdisciplinary approaches to address complex scientific problems. He has published extensively in high-impact journals, contributing to areas including quantum information, cosmology, and nonlinear dynamics. With an impressive h-index of 36, 286 documents, and 5,047 citations, his research demonstrates strong global impact and scholarly influence. His recent studies explore generalized Schrödinger equations, fractal Laplacian models, chaotic orbital dynamics, and financial systems in fractal dimensions, reflecting his continued innovation and leadership in cutting-edge scientific research.

Citation Metrics (Scopus)

6000

5000

4000

3000

2000

0

Citations
5,047

h-index
36

Documents
286

Citations

h-index

Documents


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Featured Publications

Jie Hui Ng | Traffic Big Data Mining and Analysis | Network Science Excellence Award

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Mr. Jie Hui Ng | Traffic Big Data Mining and Analysis | Network Science Excellence Award

Tsinghua University | Malaysia

Mr. Jie Hui Ng is an emerging researcher specializing in traffic big data mining, network analysis, and travel behavior modeling, with a growing scholarly impact reflected through his h-index, document count, and citation metrics. His research focuses on leveraging sparse data environments to extract meaningful mobility insights, particularly through advanced data-driven frameworks. His notable work, TravelForest, introduces a trajectory reconstruction and travel path selection framework using sparse license plate recognition (LPR) data, integrating road network topology and dynamic traffic conditions. By extending the random forest model with an interpretable structure, his approach achieves high accuracy and robustness under limited data availability. His contributions also reveal key determinants of route choice, such as turn frequency and data coverage, while supporting scalable, real-time traffic analysis. Furthermore, his research advances proactive traffic signal control optimization, enhancing intelligent transportation systems and urban mobility efficiency.

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Featured Publications

Feng Yu | Business Research

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Feng Yu – Business Research

🏆🌟 Congratulations to Yu FENG on Winning the Best Research Award! 🌟🏆

Student/Member Chongqing University, China

Your dedication, hard work, and innovative contributions have not only earned you this prestigious recognition but have also significantly advanced the field of Economics and Management. 🎓 Your exceptional research on “Novel Multi Supply Chains Optimization Mechanism Based on Machine Learning and Double Auctions” and “Auction-Based Deep Learning-Driven Smart Agricultural Supply Chain Mechanism” has undoubtedly made a lasting impact.

This achievement is a testament to your intellectual prowess, relentless pursuit of knowledge, and commitment to excellence. 🌐 Your participation in conferences and symposia, presenting groundbreaking ideas on topics like vertical collaborative R&D innovation and smart agricultural supply chains, showcases your leadership in the academic community.

Your journey, from academic success at Ningxia University to your current pursuit of a Ph.D. at Chongqing University, reflects a trajectory of continuous growth and contribution to the academic landscape. 📚 Your entrepreneurial ventures, leadership roles, and internship experiences further underscore your versatile skill set.

As you receive this well-deserved accolade, may it serve as a stepping stone to even greater accomplishments in your future endeavors. 🚀 Your dedication to research excellence sets a standard for others to follow, and we eagerly anticipate witnessing the impact of your future contributions.

Once again, congratulations on this outstanding achievement, and may your passion for research continue to illuminate new paths in the world of academia! 🎉👏🌟

👨‍💼 Yu FENG’s Profile

🎓 Educational Background:

  • Ph.D. in Economics and Management
    • Chongqing University (2020.6 – Present)
    • School of Economics and Management
  • Master’s Degree in Economics Experimental Class
    • Ningxia University (2017.3 – 2018.8)
    • Specialized in E-commerce, Innovation, and Entrepreneurship
  • Bachelor’s Degree in Economics and Management
    • Ningxia University (2016.9 – 2020.6)
    • Ranked 3/107, received national comprehensive first-class scholarship and second-class scholarship multiple times
    • Awards: 1 national, 5 provincial, 10 school-level awards
    • Actively participated in 6 competitions, winning 8 awards

📚 Publications:

  1. Novel Multi Supply Chains Optimization Mechanism Based on Machine Learning and Double Auctions
    • Published in FRACTALS, 2023.
  2. Auction-Based Deep Learning-Driven Smart Agricultural Supply Chain Mechanism
    • Published in Applied Soft Computing, 2023.

📅 Conferences & Symposia:

  1. Vertical Collaborative R&D Innovation Mode for Industrial Clusters
    • Presented at the 18th Annual Conference on Science and Technology Policy and Management in China, 2022.
  2. Optimization Mechanism of Smart Agricultural Supply Chain Based on Cooperative Game Driving
    • Presented at the 24th Annual Conference of China Academy of Management Science, 2022.
  3. Supply Chain Game Analysis on the Effect of Transportation Time on Fresh Produce Quality
    • Presented at the 19th Annual Conference on Science and Technology Policy and Management in China, 2023.
  4. Multi-Objective Hypothesis Driven E-commerce Operation Mode Analysis for Wechat Public Account under the Background of Epidemic
    • Presented at the 15th International Conference on Trade, Business, Economics, and Law, 2023.

💼 Work & Practice:

  • Student Leadership Roles:
    • Minister of Innovation & Entrepreneurship Department
    • President of a club
  • Social Practice:
    • Project Leader of Ningxia University-Jingdong EcoCampus Project
    • Part-time counselor at Chongqing University
  • Entrepreneurial Experience:
    • Established a human resource studio
    • Founded an escort department
  • Internship Experience:
    • E-commerce operation and management at Taobao business unit
    • Worked at Hubei Badong County Yandu River Town Financial and Economic Office

🚀 Yu FENG has demonstrated academic excellence, leadership, and a strong commitment to innovation and entrepreneurship. Keep up the impressive work! 👏🌟

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