Dr. Awais received his Ph.D. from Imperial College, University of London. Prior to joining LUMS, Dr Awais conducted European Union research and development projects for a UK based SME. His Ph.D. work related to the development of on-line models for parametric estimation of solid fuel-fired industrial boilers. Dr Awais has also conducted research work on a class of iterative methods pertinent to Krylov subspaces for optimisation, such as the oblique projection and implicitly restarted model reduction methodologies.
| Title | Publication | Author | Year |
|---|---|---|---|
| CAMP: A context-aware cricket players performance metric | Journal of the Operational Research Society | 2023 | |
| Comparing Peircean Algorithm with??Various Bio-inspired Techniques for??Multi-dimensional Function Optimization | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2022 | |
| A generic interval of linguistic variable based genetic fuzzy inference system; A utility in forestry application | 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019 | 2020 | |
| High performance multi-class motor imagery EEG classification | BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 | 2020 | |
| Induction Motor Inter-turn Short Circuit Fault Detection Using Efficient Feature Extraction for Machine Learning Based Fault Detectors | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2019 | |
| Knowledge representation and management for precision agriculture: A case study | Communications in Computer and Information Science | 2019 | |
| AdaBoost-based artificial neural network learning | Neurocomputing | 2017 | |
| A multiclass cascade of artificial neural network for network intrusion detection | Journal of Intelligent and Fuzzy Systems | 2017 | |
| Improving Recall of software defect prediction models using association mining | Knowledge-Based Systems | 2015 | |
| Learning rule for linear multilayer feedforward ann by boosted decision stumps | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2015 | |
| Real-time EEG-based human emotion recognition | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2015 | |
| Comparing distance to consensus of collective relations using OWA operators | Journal of Intelligent and Fuzzy Systems | 2015 | |
| Learning from demonstration in robots using the shared circuits model | IEEE Transactions on Autonomous Mental Development | 2014 | |
| Intrusion detection using a cascade of boosted classifiers (CBC) | Proceedings of the International Joint Conference on Neural Networks | 2014 | |
| Incomplete preference relations: An upper bound condition | Journal of Intelligent and Fuzzy Systems | 2014 | |
| Impact of using information gain in software defect prediction models | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014 | |
| Comparing ranking methods: Complete RCI preference and multiplicative preference relations | Journal of Intelligent and Fuzzy Systems | 2014 | |
| BOOSTRON: Boosting based perceptron learning | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014 | |
| Workload management: A technology perspective with respect to self-*characteristics | Artificial Intelligence Review | 2014 | |
| Identifying association between longer itemsets and software defects | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2013 | |
| Putting Peirce's theory to the test: Peircean evolutionary algorithms | Transactions of the Charles S Peirce Society | 2013 | |
| An evolutionary algorithm derived from charles sanders peirce's theory of universal evolution | GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion | 2013 | |
| A framework for evolutionary algorithms based on Charles Sanders Peirce's evolutionary semiotics | Information Sciences | 2013 | |
| Enterprise architectures for e-government development | Developing E-Government Projects: Frameworks and Methodologies | 2013 | |
| A randomized partitioning approach for CBR-Based autonomic systems to improve retrieval performance | Computer Journal | 2013 |