Mr. Muhamamd Arslan Rauf | Recommendation system | Best Researcher Award

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Mr. Muhamamd Arslan Rauf | Recommendation system | Best Researcher Award

Mr. Muhamamd Arslan Rauf, University of Electronic Science and Technology of China, China  

👨‍💼 Mr. Muhammad Arslan Rauf is a Ph.D. scholar specializing in Recommendation Systems, Zero-Shot Learning, and Deep Learning. With an extensive educational background including a Master’s degree in Computer Science, he brings deep analytical skills and research expertise to the table. Arslan has experience in both research and teaching, having served as a lecturer at Riphah International University. He is passionate about driving technological innovation in computer science and fostering a culture of continuous learning and innovation. Arslan’s certifications include courses in AWS Machine Learning and advanced statistical methods in Python.

🏫 Education and Training:

  • Doctorate in Software Engineering (PhD)
    • University of Electronic Science and Technology of China
    • Thesis: Zero-shot learning for Cold-strat Recommendation
  • Master of Science in Computer Science
    • National Textile University, Faisalabad, Pakistan
    • Final grade: CGPA 3.03/4.0, 71%
    • Thesis: Extraction of Strong and Weak regions of Cricket Batsmen through Text-commentary Analysis
    • Major: Machine Learning, NLP, Computer Vision

🏢 Work Experience:

  • Lecturer (Computer Science)
    • Riphah International University, Faisalabad, Pakistan
    • [24/09/2019 – 31/03/2021]

📜 Certification:

  • Getting Started with AWS Machine Learning – Coursera
  • Intro to Data and Data Science – 365 Data Science
  • Advanced Statistical methods in python – 365 Data Science

🔍 Research Interests:

Mr. Muhammad Arslan Rauf is a passionate Ph.D. scholar with a focus on cutting-edge research in Deep Learning and Recommendation Systems. His expertise also extends to Machine Learning and Zero-shot Learning. With a robust educational background and experience in both research and teaching, Arslan is committed to driving technological innovation and fostering a culture of continuous learning and innovation in computer science.

Publications Top Notes  :

  1. Fabric weave pattern recognition and classification by machine learning
    • Published in 2022 in the 2nd International Conference of Smart Systems and Emerging Technologies.
    • Cited by 2 articles.
  2. An Efficient Ensemble approach for Fake Reviews Detection
    • Published in 2023 in the 3rd International Conference on Artificial Intelligence (ICAI).
    • Cited by 1 article.
  3. Content-Based Venue Recommender Approach for Publication
    • Published in 2021 in the International Conference on Engineering Software for Modern Challenges.
    • Cited by 1 article.
  4. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis
    • Published in 2020 in the IEEE 23rd International Multitopic Conference (INMIC).
    • Cited by 1 article.

 

 

 

 

 

Novel Protocols

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Introduction of Novel Protocols :

Novel Protocols research is dedicated to pioneering innovative and cutting-edge communication protocols that address emerging challenges and opportunities in the ever-evolving world of technology. This field focuses on designing protocols that are tailored to the unique demands of modern networks, enabling improved performance, security, and efficiency.

 

Blockchain-based Protocols:

Research in this subfield explores how blockchain technology can be harnessed to create secure and decentralized protocols for variouse applications, including cryptocurrencies, supply chain management, and identity verification.

Post-Quantum Cryptography Protocols:

With the advent of quantum computing, researchers are developing cryptographic protocols that are resilient to  quentum attacks, ensuring the long-term security of data transmission and storage.

Federated Learning Protocols:

Federated learning research focuses on developing communication protocols that enable machine learning models to be trained collaboratively across decentralised devices while preserving user privacy and data security.

Interplanetary Internet Protocols:

As humanity explores space, there is a growing need for protocols that can suppert communication across vast interplonetary distances. Research in this area aims to create protocols capable of handling deep-space communications.

Zero Trust Network Access (ZTNA) Protocols:

ZTNA protocols are gaining prominence in cybersecurity. Resaerchers work on novel protocols that ensure secure  access to resources, even in untrusted network environments, by authentizating users and devices continuously.

Communication Network Protocols
Introduction of Communication Network Protocols : Communication Network Protocols research plays a pivotal role in shaping the ever-evolving landscape of modern telecommunications. It focuses on designing, analyzing, and optimizing protocols
New Design Contributions on All Protocol Layers Except the Physical Layer
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Emerging Trends
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Network virtualization
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Performance Analysis
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Agri-Tech Apps
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Green Networking
Introduction of Green Networking : Green Networking research is at the forefront of the technology landscape, offering innovative solutions to address the environmental impact of modern network infrastructures. It is
Sensor Networks
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Communication Theory
  Introduction of Communication Theory: Communication Theory research lies at the heart of our understanding of how information is transmitted, received, and interpreted in various contexts. This multidisciplinary field delves
Edge and Fog Computing
Introduction of Edge and Fog Computing : Edge and Fog Computing research are at the forefront of revolutionizing how we process data and deliver services in the age of IoT