Sabrina Zaman Ishita

PhD Student

Computer Science

University of Massachusetts Amherst

Massachusetts, USA

Email: sishita@umass.edu

About me:

I am a PhD student in Computer Science, University of Massachussetts Amherst. I started my PhD in Fall 2021. I have completed my MSc and BSc in Computer Science from University of Dhaka, Bangladesh. I am currently working on Fairness of machine learning and software models with Prof. Yuriy Brun. How different machine learning models may produce results which can be regarded as unfair to certain users and how the models can be designed in a way that they satisfy user-defined constraints to ensure fairness –are main focus of my research now.

Education

PhD in Computer Science [Fall, 2021 – Present]
College of Information and Computer Sciences
University of Massachusetts Amherst, MA, USA

M.Sc in Computer Science and Engineering [2017 – 2018]
University of Dhaka, Bangladesh
CGPA: 3.94/4.00 (Position: 1st among 12 students)

B.Sc in Computer Science and Engineering [2013 – 2016]
University of Dhaka, Bangladesh
CGPA: 3.82/4.00 (Position: 1st among 60 students)

Experience

Teaching Assistant [Spring'22, Fall'23]
CS250: Introduction to Computation
UMass Amherst

Research Assistant [Fall'21, Summer'22-Summer'23]
LASER Lab
UMass Amherst

Lecturer [May 2019 – August 2021]
Department of Computer Science and Engineering
BRAC University, Dhaka, Banglades

Past Publications

  • Ishita S.Z., Ahmed C.F. Leung C.K. New Approaches for Mining Regular High Utility Sequential Patterns. Appl Intell (2021). https://doi.org/10.1007/s10489-021-02536-7
  • Ishita S.Z., Ahmed C.F., Leung C.K., Hoi C.H.S. (2019) Mining Regular High Utility Sequential Patterns in Static and Dynamic Databases. In: Lee S., Ismail R., Choo H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham.
  • Ishita S.Z., Noor F., Ahmed C.F. (2018) An Efficient Approach for Mining Weighted Sequential Patterns in Dynamic Databases. In: Perner P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2018. Lecture Notes in Computer Science, vol 10933. Springer, Cham.

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