Machine Intelligence Group (MInG)
- MInG – Machine Intelligence Group was established in FAST- NUCES in 2004. The main objectives of this research group are to conduct research in cutting edge technologies and bridging the gap between academia and industry. The main research focus is on: Optimization techniques, Data science, Multi-agent systems, Expert systems, Machine learning, Block-chain technology, Internet of things, Healthcare solutions, Robotics, Machine vision, Intelligent transportation systems, Data mining, and other such areas in artificial intelligence domain. MInG has published more than hundred research articles in international conferences and journals. The research team consists of FYP, MS and PhD Thesis students, along with faculty members and industrial partners. The group has been working in cutting edge technologies to solve real world problems.
Co-founders consists of Dr. Rauf Baig, Dr. Kashif Zafar and Dr. Usman Shahid.
Past Projects
- Dynamic Route Planning using Computational Intelligence techniques
- Road Sign Detection using Deep Learning
- Cancer Classification using Microarray
- Stroke Detection using Machine Learning
- Dimensionality Reduction using Machine Learning
- Interactive Car Racing Tracks Generation using Evolutionary Techniques
- Neural Fuzzy Expert System for Taxation Department
- Knowledge Based Expert System for Stock Exchange
Recent Publications
- H. Tufail, K. Zafar , A. R. Baig, “Relational database security using digital watermarking and evolutionary techniques”. Computational Intelligence, 35(4): 693-716 (2019)
- M. Naz, K. Zafar, A. Khan, “Ensemble Based Classification of Sentiments using Forest Optimization Algorithm” Data; MDPI, (ISSN 2306-5729); ISI-indexed 2019
- N. Saleem, K. Zafar, A. Fatima, “Enhanced Feature Subset Selection using Niche Based Bat Algorithm” Computation; MDPI, (2079-3197); ISI-indexed 2019
- A. Naseer, K. Zafar, “Meta Features-based Scale Invariant OCR Decision Making using LSTM-RNN’ ‘Computational and Mathematical Organization Theory' SPRINGER, 2018 (ISSN: 1572-9346- Impact Factor: 0.769).
- S. Javed, K. Zafar, “Player Profiling and Quality Assessment of Dynamic Car Racing Tracks using Entertainment Quantifier” Computational Intelligence; Wiley (ISSN: 1467-8640; SCI-E, IF: 0.964).
- U. Abdullah, A. Ligeza, K. Zafar, "Performance Evaluation of Rule-Based Expert Systems: An Example from Medical Billing Domain", Expert Systems; Wiley (ISSN: 1468-0394; SCI-E, IF: 1.15).
- N. Qamar, F. Batool, K. Zafar, “"Efficient Effort Estimation of Web based Projects using Neuro-Web" International Journal of Advanced and Applied Sciences; (ISSN: 2313-626X, ISI-indexed 2018)
- A. Naseer, K. Zafar, “Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM” “International Journal of Advanced Computer Science and Applications” Vol.9, NO.1. (ISSN: 2156-5570, ISI-indexed 2018)
- H. Tufail, K. Zafar, A. R. Baig, “Digital Watermarking for Relational Database Security using mRMR based Binary Bat Algorithm” International Workshop on Privacy, Security and Trust in Computational Intelligence, IEEE TrustCom, August 2018, New York, USA