Atiq Ur Rehman (not working at IDT anymore)
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
Chip Analysis for Tool Wear Monitoring in Machining: A Deep Learning Approach (Aug 2024) Atiq Ur Rehman, Tahira Salwa Rabbi Nishat, Mobyen Uddin Ahmed, Shahina Begum, Abhishek Ranjan Journal of IEEE Access (Access'18)
Heuristic Approach for Cognitive Digital Twin Technology – A Technical Report (Nov 2023) Atiq Ur Rehman, Mobyen Uddin Ahmed, Shahina Begum
Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting (Oct 2023) Md Alamgir Kabir , Atiq Ur Rehman, M M Manjurul Islam , Nazakat Ali, Marcia L Baptista Symmetry (Symmetry)
A Case Study on Ontology Development for AI Based Decision Systems in Industry (Jul 2023) Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Marcus Bengtsson, Peter Funk, Rickard Sohlberg Dr H.C., Atiq Ur Rehman 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)
Cognitive Digital Twin in Manufacturing: A Heuristic Approach (Jun 2023) Atiq Ur Rehman, Mobyen Uddin Ahmed, Shahina Begum 19th International Conference on Artificial Intelligence Applications and Innovations (AIAI2023)
On the Use of Deep Learning for Video Classification (Feb 2023) Atiq Ur Rehman, Samir Belhaouari , Md Alamgir Kabir , Adnan Khan Applied Sciences (ApplSci)