Alisha Abid obtained her B.Sc. in Computer Science from the National University of Computer and Emerging Sciences (NUCES-FAST), Chiniot-Faisalabad Campus (CFD), Pakistan. Her research interests include Machine Learning, Algorithm Design, Graph Theory Optimization, and Clustering. The prime focus of her research is the development and optimization of clustering algorithms to enhance pattern recognition and uncover hidden structures within complex datasets.

In this respect, Alisha is exploring efficient techniques that integrate strong mathematical foundations with algorithmic strategies to transform raw data into meaningful and interpretable information. She is also interested in broader problems within machine learning and data mining, including the application of graph theory to optimize clustering solutions and improve large-scale data analysis.

She is passionate about bridging the gap between the theoretical concepts of computer science and their mathematical foundations, ensuring that advanced models are effectively adapted to address real-world problems.

Interests

Machine Learning

Algorithm Design

Graph Theory Optimization

Clustering Algorithms and Their Optimization

Pattern Recognition and Hidden Pattern Discovery