Longyue Li | Optimization Techniques | Best Researcher Award

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Prof Dr. Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li at Air Force Engineering University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Longyue Li is an Associate Professor of Operations Research at Air Force Engineering University, recognized for his contributions to decision theory, intelligent algorithm design, and military logistics.

📚 Academic Background

Dr. Longyue Li serves as an Associate Professor at the Air Force Engineering University. He holds a Ph.D. in Operations Research and has an impressive academic record with over 40 published papers, 12 patents, and four academic monographs.

🎓 Education

Dr. Li earned his Ph.D. in Operations Research and completed postdoctoral research funded by the China Postdoctoral Science Foundation, further enhancing his expertise in the field.

💼 Professional Experience

With over 8 years as an Associate Professor at Air Force Engineering University, Dr. Li has significantly contributed to the field. He is also an Editorial Board Member for the Journal of Ordnance and Equipment Engineering. His professional collaborations include projects with XiDian University and Northwestern Polytechnical University.

🔍 Research Interests

Dr. Li’s research spans several key areas: Decision Theory and Methods, Intelligent Algorithm Design, Real-time Decision Support Systems, Complex Network Analysis, and Military Logistics and Operations Research.

🏆 Achievements

Dr. Li has led national projects funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work has resulted in over 40 papers in prestigious journals, 12 patents, and four academic monographs. Notably, his research has been instrumental in logistics planning and continues through ongoing university collaborations.

📖 Publications

Optimization of Predefined-Time Agent-Scheduling Strategy Based on PPO
    • Authors: Dingding Qi, Yingjun Zhao, Longyue Li, Zhanxiao Jia
    • Journal: Mathematics
    • Year: 2024
A Novel Softplus Linear Unit for Deep Convolutional Neural Networks
    • Authors: Zhao, H.; Liu, F.; Li, L.; Luo, C.
    • Journal: Applied Intelligence
    • Year: 2018
Defense Effectiveness Analysis of Multi-Mode Shooting to Multi-Type Targets
    • Authors: Li, L.; Liu, F.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.
    • Journal: PLoS ONE
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.; Luo, C.
    • Journal: Tongxin Xuebao/Journal on Communications
    • Year: 2017
Differential Game Model and Solving Method for Missile Pursuit-Evasion
    • Authors: Li, L.; Liu, F.; Shi, X.; Wang, J.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2016

fazila malik | Optimization techniques | Excellence in Innovation

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Ms. fazila malik ,Optimization techniques, Excellence in Innovation

Ms. fazila malik at  Iqra international university islamabad H9 campus, Pakistan

Author Profile

Scopus Profile

🌟Summary

Fazila Malik is a dedicated computer science lecturer with expertise in artificial intelligence, data mining, and natural language processing. She holds two master’s degrees in computer science from COMSATS University Islamabad, where she was a batch topper during her MS studies. Fazila has experience teaching at various universities and conducting remote research. Her technical skills include Python, C++, Java, TensorFlow, Scikit-learn, and Latex. Fazila has contributed to multiple research projects and has several publications in reputable journals.

🎓Education

  • Master of Sciences (MS) in Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2020-2022) | CGPA: 3.8/4.0 (Batch Topper)
  • Master of Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2017-2019) | CGPA: 3.1/4.0

💼 Professional Experience

  • Lecturer, Iqra University Islamabad, H9 Campus (September 2023 – Present)
  • Lecturer (Contract), University of Education, Attock Campus (September 2022 – August 2023)
  • Research Experience (Remotely) (January 2020 – Present)

🔬 Research Interests

My research interests lie at the intersection of artificial intelligence and data science, with a focus on Natural Language Processing (NLP), evolutionary algorithms, and neural networks. I am particularly passionate about developing innovative methods to analyze and interpret complex data patterns. My work in NLP involves creating models for text analysis, sentiment detection, and textual similarities extraction, leveraging machine learning and deep learning techniques. Additionally, I am intrigued by the potential of evolutionary algorithms to solve optimization problems and enhance clustering methods. My ongoing projects explore social media analysis and pattern mining, aiming to uncover hidden insights and contribute to advancements in the field of data science.

📖 Publication Top Noted

Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method

    • Authors: Alduailij, M.; Khan, Q.W.; Tahir, M.; …; Alduailij, M.; Malik, F.
    • Journal: Symmetry
    • Volume: 14
    • Issue: 6
    • Pages: 1095
    • Year: 2022

A Novel Hybrid Clustering Approach Based on Black Hole Algorithm for Document Clustering

    • Authors: Malik, F.; Khan, S.; Rizwan, A.; Atteia, G.; Samee, N.A.
    • Journal: IEEE Access
    • Volume: 10
    • Pages: 97310–97326
    • Year: 2022