Atiq Ur Rehman, Post Doc

He received the master’s degree in computer engineering from the National University of Sciences and Technology (NUST), Islamabad, Pakistan, in 2013, and the Ph.D. degree in computer science and engineering from Hamad Bin Khalifa University (HBKU), Doha, Qatar, in 2019. He worked as a postdoctoral researcher at HBKU from July 2019 to February 2022. From March 2022 to September 2022, he worked as an assistant professor at the Pak-Austria Fachhochschule Institute of Applied Sciences and Technology in Pakistan. Currently, he is working as a post-doctoral researcher at the Artificial Intelligence and Intelligent Systems Research Group, School of Innovation, Design, and Engineering, Mälardalen University, Sweden. His main research focus is to develop generic machine learning and swarm intelligence algorithms to analyze high-dimensional datasets. Specifically, he is developing algorithms for unsupervised learning, data preprocessing, and evolutionary optimization methods. His expertise includes building new artificial intelligence models with a real-application focus on computing systems and big datasets.

My current research focuses on developing Swarm Intelligence (SI) based Machine Learning (ML) algorithms for real measurement applications and high dimensional datasets. Mainly, I focus on how SI can improve the decision-making powers of ML methods in real scenarios. Besides developing SI-based ML models, I also enhance the state-of-art SI and ML methods.

Previously, I have developed some novel methods and solutions for:
1.    Unsupervised learning in high dimensions.
2.    Global search optimization in high dimensions.
3.    Anomaly detection in high dimensions.
4.    Latency reduction for Electronic Nose System(ENS).
5.    Drift issue in gas sensors for the real deployment of ENS