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 :
- 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.
- An Efficient Ensemble approach for Fake Reviews Detection
- Published in 2023 in the 3rd International Conference on Artificial Intelligence (ICAI).
- Cited by 1 article.
- Content-Based Venue Recommender Approach for Publication
- Published in 2021 in the International Conference on Engineering Software for Modern Challenges.
- Cited by 1 article.
- 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.