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Mirza Zaeem Baig

Mirza Zaeem Baig

Lecturer, School of Mathematics and Data Science (EAU)

Telephone: +971 4 6050172

Email: mirza.baig@eau.ac.ae

Mirza Zaeem Baig holds an MS in Computer Science from FAST-National University of Computer & Emerging Sciences (NUCES), Pakistan. At Emirates Aviation University (EAU), he is a Lecturer and Lab Assistant in School of Mathematics and Data Science. His research interests include Data Science and Recommender Systems. Before joining EAU, he has been working at various universities in Pakistan & UAE. He has also served in software industry at various technical roles. He was involved in establishing the NVIDIA Research Center (the very first in Pakistan) at FAST, and received multiple independent research grants from NVIDIA Corporation, USA. He is actively involved in research and has multiple publications in his research area. He is passionate about photography, travelling, cricket, and entrepreneurship.

  • MS in Computer Science, FAST - National University of Computer and Emerging Sciences, Pakistan, 2017
  • BS in Computer Science, FAST - National University of Computer and Emerging Sciences, Pakistan, 2014
  • Data Science
  • Artificial Intelligence
  • Computer Science
  • Software Engineering
  • Data Science
  • Recommender Systems
  • Machine Learning
  1. Book Chapter “Theoretical Foundations for Recommender Systems” in “Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust” published July 2019 by IET (Institution of Engineering & Technology), UK.
  2. Paper Publication “Smart Scheduler for CUDA Programming in Heterogeneous CPU/GPU Environment" published January 2019, in the proceedings of “ICCMS 2019”, Australia.
  3. Paper Publication “Bridging Industry – Academia Collaboration Gap: A focus towards Final Year Projects" published March 2018, in the proceedings of “HP3C 2018”, Hong Kong.
  4. Poster Publication “EA Poster: Teaching High Performance Computing with a Practical Approach” published May 2015, at “5th CDER/TCPP Workshop on Parallel and Distributed Computing Education (EduPar – 15)”, India.W.S.