Main Campus
Rohri Bypass, Sukkur, Sindh
Email Us
info@aror.edu.pk
Call Us
+92 325 2278377, +92 71 5651900
HomeUser Profile

Dr. Irfan Ali

Assistant Professor – Faculty of Emerging Sciences and Technology

Biography

Dr. Irfan Ali is an Assistant Professor of Artificial Intelligence and a dedicated researcher specializing in Machine Learning, Computer Vision, Neural Networks, and Deep Learning. He earned his Ph.D. in Control Science and Engineering from the College of Information Science and Technology, Beijing University of Chemical Technology (BUCT), Beijing, China, in 2024. In recognition of his outstanding academic achievements and research excellence, he was honored as one of the Top 10 International Students of BUCT in 2024.

Dr. Irfan has extensive experience in academic teaching and advanced research, with a strong focus on developing intelligent AI-driven solutions for real-world challenges. His research interests include machine learning, deep learning, computer vision, medical image analysis, intelligent pattern recognition, explainable artificial intelligence (XAI), signal and image processing, multimodal data analysis, and AI applications for smart healthcare, smart cities, and industrial automation.

He has authored numerous high-impact publications in SCI-indexed journals covering artificial intelligence, computer vision, deep neural networks, intelligent optimization algorithms, and data-driven intelligent systems. His research has been supported by the National Natural Science Foundation of China (Grant No. 62273026), contributing to the advancement of intelligent computing and next-generation AI technologies.

He received his Master's degree in Power Engineering by Research from Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Pakistan, in 2017. Through his interdisciplinary expertise spanning artificial intelligence, machine learning, and intelligent computing, Dr. Irfan continues to contribute significantly to academic research, innovation, and the development of practical AI solutions for complex real-world problems.

Education

Ph.D.

Artificial Intelligence

Department of Information Science, Beijing University of Chemical Technology, Beijing China 2025

Research Interests

Machine Learning Computer Vision Neural Networks & Deep Learning

Research Publications

1

Enhancing Brain Tumor MRI Classification with CNNs Using Transfer Learning

M. Irtiza Ali , Saifullah Tunio, Irfan Ali Channa

15th IEEE International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) 2026 Conference
2

A Survey of Maximum Entropy-Based Inverse Reinforcement Learning: Methods and Applications

Li Song, Qinghui Guo, Irfan Ali Channa, Zeyu Wang

Symmetry 2025 Journal
4

A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid

Dazi Li, Irfan Ali Channa, Xun Chen, Suhail Khokhar

Computers and Electrical Engineering 2024 Journal
5

An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids

Irfan Ali Channa, Dazi Li, Mohsin A Koondhar

International Transactions on Electrical Energy Systems 2024 Journal
6

Detection and classification of power quality disturbances using STFT and deep neural Network

Irfan Ali Channa, Dazi Li

CSAI '23: Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence 2024 Conference
7

Evolutionary and Swarm Based Optimization of Fit k-Nearest Neighbor Classifier for Classification of Power Quality Disturbances

Dazi Li, Irfan Ali Channa, Xun Chen, Li Song

https://www.tandfonline.com/doi/abs/10.1080/15325008.2023.2288305 2024 Journal
8

A comparative study to analyze wind potential of different wind corridors

Baqir Ali, Ghulam Abbas, Ahsanullah Memon, Irfan Ali Channa, Mohsin A Koondhar

Energy Reports 2022 Journal