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Dr. Aisha Shabbir
Assistant Professor
NICE

NICE
National University of Sciences and Technology (NUST)
NICE, SCEE, NUST
Tel : 03300600936

Specialization
Computer Science (Data Science)

Education
PhD (Computer Science, University Technology Malaysia), MS (Electronics Engineering, GIK Institute of Engg), MSC (Electronics, Quaid e Azam University Pakistan)

Dr. Aisha Shabbir did her PhD in the field of Computer Science from the University Teknologi Malaysia (UTM), Malaysia. She completed MS in Electronic Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan. She did M.Sc. degree in Electronics, from Quaid-i-Azam University, Pakistan. She received her B.Sc. degree in Math Applied, Math Pure & Physics from the Hazara University, Pakistan.​
  • ​Data aggregation in networks 
  • Cloud computing 
  • Big data Processing and Machine Learning techniques​
  1. ​​Aisha Shabbir, Kamalrulnizam Abu Bakar, Raja Zahilah Raja Mohd. Radzi and Muhammad Siraj, “Resource Management in Cloud Data Centers”, International Journal of Advanced Computer Science and Applications (IJACSA), 9(10), 2018.
  2. Aisha Shabbir, Kamalrulnizam Abu Bakar, Raja Zahilah Raja Mohd. Radzi, Muhammad Siraj, “Big Data Tasks Execution Time Analysis Using Machine Learning Techniques”, 9th International Conference on Industrial Engineering and Operations Management (IEOM) Bangkok, Thailand, March 5-7, 2019.
  3. Aisha Shabbir, Kamalrulnizam Abu Bakar, Raja Zahilah Raja Mohd. Radzi, Sulaiman Azeem “Big Data Issues and Processing Techniques: A Comprehensive Survey”, 9th International Conference on Industrial Engineering and Operations Management (IEOM) Bangkok, Thailand, March 5-7, 2019.
  4. Aisha Shabbir, Kamalrulnizam Abu Bakar, Raja Zahilah Raja Mohd. Radzi, “MapReduce Intermediate Data Migration Time Modeling Using Machine Learning Technique”, 14th Postgraduate Annual Research Seminar, Malaysia, 11 April, 2019.
  5. Aisha Shabbir, Kamalrulnizam Abu Bakar and Raja Zahilah Raja Mohd. Radzi. “Replication Effect over Hadoop MapReduce Performance using Regression Analysis”, International Journal of Computer Applications 181(24):33-38, October 2018. 
  6. Aisha Shabbir, Kamalrulnizam Abu Bakar, “Big Data Processing Techniques and Platforms: A Comprehensive Survey”, 7th International Graduate Conference on Engineering, Science and Humanities, IGCESH-Proceedings (Aug-2018) 698.
  7. Aisha Shabbir, Kamalrulnizam Abu Bakar, Raja Zahilah Raja Mohd. Radzi, “MapReduce Intermediate Data Migration Time Modeling Using Machine Learning Technique”, Indonesian journal of Electrical Engineering and Computer Science, July-2019. (accepted; ISSN: 2502-4752)
  8. Aisha Shabbir, Kamalrulnizam Abu Bakar, Raja Zahilah Raja Mohd. Radzi, “Computational Cost Based Big Data Tasks Scheduling for Cloud Environment" Concurrency and Computation: Practice and Experience, August-2019. (accepted – WOS; CPE-19-0345)

DISTINCTION

  • Best Research Paper Award in 14th Postgraduate Annual Research Seminar for paper entitled “MapReduce Intermediate Data Migration Time Modeling Using Machine Learning Technique”.
  • Awarded with Gold Medal from Hazara University for acquiring 1st Position in B.Sc. and beating all the records marks of university.
  • Awarded with international doctoral scholarship (UTM).
  • Awarded with fully funded Merit Scholarship in MS by GIK Institute of Engineering Sciences and
  • Technology.
  • 200,000 PKR by Govt. of Pakistan for BSc record winning.​

​​Computer Basics CS-100 of UG 2019
  • ​​Jan, 2015-June, 2015: Served as an embedded engineer in Jolta Technologies
  • September 2011-May 2013​: Served as Teaching Assistant in GIK Institute of Engineering Sciences and Technology